156 results about "Risk area" patented technology

A patient fall prediction system receives video image frames from a surveillance camera positioned in a patient's room and analyses the video image frames for movement that may be a precursor to a patient fall. In set up phase, the viewpoint of the camera is directed at a risk area associated with patient falls, beds, chairs, wheelchairs, etc. A risk area is defined graphically in the viewport. The patient fall prediction system generates a plurality of concurrent motion detection zones that are situated proximate to the graphic markings of the risk areas. These motion detection zones are monitored for changes between video image frames that indicate a movement. The pattern of detections is recorded and compared to a fall movement detection signature. One fall movement detection signature is a sequential detection order from the motion detection zone closest to the risk area in the frames associated with patient falls, to the motion detection zone farthest away from the risk area. The patient fall prediction system continually monitors the motion detection zones for changes between image frames and compiles detections lists that are compared to known movement detection signatures, such as a fall movement detection signature. Once a match is identified, the patient fall prediction system issues a fall warning to a healthcare provider.

In software development, risks can be quantified and defined by certain attributes. For instance, a risky area will have a large number of defects / changes for that area, a large number of high severity defects for that area, or a large number of coders / authors for that same area. All these metrics are already captured in Unified Change Management tools, version control tools and bug tracking tools. By taking the appropriate data and associating them with certain triggers and thresholds, an embodiment of the invention automatically identifies which test cases to run for regression. Through historical and previous test data and test runs, an embodiment of the invention forecasts how long it will take to run these regression suites.

The invention relates to an unmanned aerial vehicle aerial photography sequence image-based slope three-dimension reconstruction method. The method includes the following steps that: feature region matching and feature point pair extraction are performed on un-calibrated unmanned aerial vehicle multi-view aerial photography sequence images through adopting a feature matching-based algorithm; the geometric structure of a slope and the motion parameters of a camera are calculated through adopting bundle adjustment structure from motion and based on disorder matching feature points, and therefore, a sparse slope three-dimensional point cloud model can be obtained; the sparse slope three-dimensional point cloud model is processed through adopting a patch-based multi-view stereo vision algorithm, so that the sparse slope three-dimensional point cloud model can be diffused to a dense slope three-dimensional point cloud model; and the surface mesh of the slope is reconstructed through adopting Poisson reconstruction algorithm, and the texture information of the surface of the slop is mapped onto a mesh model, and therefore, a vivid three-dimensional slope model with high resolution can be constructed. The unmanned aerial vehicle aerial photography sequence image-based slope three-dimension reconstruction method of the invention has the advantages of low cost, flexibility, portability, high imaging resolution, short operating period, suitability for survey of high-risk areas and the like. With the method adopted, the application of low-altitude photogrammetry and computer vision technology to the geological engineering disaster prevention and reduction field can be greatly prompted.

A computer-implemented system and method for improving the efficiency of testing a process by focusing the testing in the highest risk areas of the process. One application of this computer-implemented system and method is in software testing to improve the effectiveness of software testing by focusing the testing efforts on the parts of the software that have a highest risk of failure and also by focusing the testing on the types of tests needed to reduce the risk.

The invention relates to the public health technology field and discloses the prevention and control method of disease control and travel information interconnection. The method comprises the following steps of retrieving the historical data of local infected cases and the composition of environmental factors affecting the survival of a disease infection source, and fitting a grid risk map; determining a newly infected person as an infection source, and obtaining the travel information of the newly infected person in the period of time before attack; classifying and screening the travel information, excavating possible resident points, combining with spatial road network data and carrying out semantization on the possible resident points; comparing the possible resident points in step 3 with the risk map generated in step 1 to acquire a main suspicious point which is taken as a high probability occurrence point; adopting an association rule excavation algorithm or a string pattern excavation algorithm to excavate a motion pattern so as to predict a possible propagation trend; and according to the above result, intervening a high risk area. The trend of an infectious disease is predicted and prevention and control cost is reduced.

The present invention provides a method and system for providing a view of sensitive information across an enterprise. The method includes finding locations of data stores across the enterprise and thereafter searching for sensitive information within the data stores, based on policies. Upon identifying the sensitive information, the sensitive information is optionally quarantined, masked, or encrypted, again based on policies. Information about the locations of the data stores, the sensitive information associated with the data stores, and the masking steps taken, is saved in a repository, and can be tagged. A user may then query the repository to retrieve one or more views of the sensitive information, gaining an overview of the compliance posture of the enterprise relative to one or more data compliance regulations, and for potential data exposure risk areas be able to drill down for actionable level of details.

A system and a method that reduces or optimizes resources, such as computer hardware, of a system used to manage large scale business operations. The system and method provides informed decisions and analysis to address higher risk areas in real time on any occasion, while ensuring overall risk of the business system or systems is maintained below a desired threshold or thresholds. The system and method includes carrying out risk assessment based on trends in decision making and assessing the current risk, such as deciding which aspects of the business is at risk and needs to be monitored closely in real time while other aspects of the business having less risk can be monitored at a slower pace (e.g., in batch mode) using cost-effective resources, without endangering the overall health of the business being monitored.

The invention is a process and a system for identifying the risk areas in a manufacturer's logistic processes and for allocating responsibility for product unit failure to discrete events in the products' lifetimes. The system comprises one or multiple abuse sensors that are co-located with the product units or their containers, one or multiple readers for capturing sensor data, a data transfer utility for dispatching the recorded data to a database and an analysis module. The analysis module aggregates data across the product units returned to the manufacturer, measures the risk of product failure due to specific events of interest in the products' lifetime and estimates the associated costs.

To improve the overall navigation process for minimally invasive repair of heart valve leaflets, an augmented reality technique capable of providing a robust three-dimensional context for transesophogeal echocardiography data has been developed. In the context of various embodiment of the invention, augmented reality essentially refers to a system in which the primary environment is virtual but the environment is augmented by real elements. In this real-time environment, the surgeon can easily and intuitively identify the tool, surgical targets, and high risk areas, and view tool trajectories and orientations.

Methods and apparatus for real-time, quantifiable monitoring of high-risk areas of biological tissue are described. The methods and apparatus use impedance spectroscopy to detect subtle changes in tissue health.

A system and method for assessing the risk associated with Outside Service Providers. A decision engine is provided to assess monitor and manage key issues around the risk management capabilities of the OSP. The system creates a core repository that manages, monitors and measures all OSP assessments across an institution (e.g., a corporation). The system and method employs automated questionnaires that require responses from the user (preferably the manager of the OSP relationship). The responses are tracked in order to evaluate the progress of the assessment and the status of the OSP with respect to compliance with the enterprise's requirements for OSPs. Once a questionnaire has been completed, the OSP can be given an overall rating of exposure to various forms of risk. Areas of risk can be acknowledged, prompting a sensitivity rating, such as severe, negligible and so forth. Once risk is acknowledged, a plan for reducing the risk or bringing the OSP into compliance can be formulated, and progress towards compliance can be tracked. Alternatively, an identified exposure to risk can be disclaimed through the system, which requires sign off by various higher level managers and administrators.

The invention relates to a method for determining an environmental-protection dredging range based on water pollution bottom mud identification and evaluation, and the method comprises the following steps of formulating a potential pollutant list of the water bottom mud; formulating a sampling scheme of the water bottom mud and sampling the bottom mud according to the sampling scheme; analyzing and testing the collected sample to obtain a physical index and a chemical index of the sample; primarily identifying and evaluating the water bottom mud; determining a position and a range of a key research area, and determining pollution research areas and key pollutants of different types by utilizing the spatial interpolation analysis of a geological information system; identifying and evaluating the key research area and the key pollutants in detail; and utilizing a spatial analysis module in the geological information system to overlap a determined general nitrogen severe pollution area, main phosphorus severe pollution area, heavy metal high-risk area and durable organic pollution area, so that the bottom mud environmental-protection dredging range of different pollution types can be obtained. Due to the adoption of the method, the environmental-protection dredging range of the pollution bottom mud can be precisely determined.

The invention discloses a petrochemical port area accident risk area quantitative assessment method comprising the following steps: (1) putting forward a petrochemical port area accident integrated risk area quantitative assessment mode; (2) building an improved accident probability calculation model based on an accident domino effect; (3) building an improved consequence intensity calculation model based on uncertainty analysis; and (4) getting the formation mechanism and the overall distribution characteristics of accident risk in a petrochemical port area according to the corrected accident integrated risk area quantitative assessment mode, the improved accident probability calculation model and the improved consequence intensity calculation model, and putting forward petrochemical port area accident risk control measures. By employing the method of the invention, the accuracy of accident probability calculation and consequence simulation is improved, and the guiding significance of risk assessment to risk prevention and control is enhanced.

The invention relates to the field of engineering physics in particular to the technique for detecting X-radiation, and it may be used for photometry, dosimetry as well as for measuring of space energy characteristics of optical-and-ionizing radiation fields with the aim of body X-ray scanning, human body in particular, to identify thereon or therein some highly undesirable objects or substances both for medical and security applications i.e. to prevent thefts and acts of terrorism and to provide the security of residential and other buildings that is in airports, banks and other high-risk areas. The X-ray screening of the body is realized by means of scanning it with a pre-shaped collimated bunch of X-radiation of low intensity due to moving the body and a source of X-radiation provided relative to one another, reception of X-radiation transmitted by the body, shaping and analysis of the image in its electronic form. It is the aim of the present invention to design a method and an apparatus which alongside with being safe and efficient make it possible to provide full body scanning with high precision. The aim set forth has been achieved by shaping the bunch of X-radiation as a single flat beam while X-radiation received at each scanning instant and converted into visible light radiation is in its turn converted into digital electronic signals. The radiation detectors filed are featuring a decreased noise level alongside with increased sensitivity and precision for registration of the intensity of X-radiation and also an extended dynamic range of X-radiation intensity values being registered which makes it possible to provide implementation of the method and the apparatus filed in the most advantageous way.

The invention relates to a driving risk analysis and risk data sending method and device and belongs to the Internet of vehicles technology field. The method comprises steps that the position of firstequipment is acquired, and the first equipment is equipment of which risk analysis is to be carried out; first risk areas are determined according to vehicle driving lines corresponding to the position, and the first risk areas are areas having influence on driving behaviors of location vehicles of the first equipment; the first risk areas are screened to acquire risk data; the risk data is sentto the first equipment; the risk data comprises the vehicle, pedestrian and obstacle state data having bump risks with the location vehicles of the first equipment and traffic environment data havinginfluence on the driving behaviors of the location vehicles of the first equipment. The method is advantaged in that data sending time delay is reduced, bandwidth requirements of mutually-notified vehicle state data among the equipment are reduced, air interface resource scheduling frequency requirements are further reduced, and communication performance is improved.

The invention discloses a dynamic behavior decision-making method for an autonomous vehicle in a networked environment. The method includes: step one, acquiring ambient environment information by a surrounding road user in a V2X network connection environment of an own vehicle; with the center of mass of the own vehicle as the center, carrying out regional division at different radiuses and predicting a risk area; step two, carrying out first-stage behavior decision making based on the ambient environment information of the surrounding road user and the predicted risk area, and determining anavailable feasible action set for ensuring the own vehicle driving safety; and S3, carrying out second-stage behavior decision making; to be specific, selecting a finally performed action preferably from the available feasible action set with consideration of the non-safety constraint conditions, and carrying out driving behavior decision making.

The invention discloses an actual-measurement comprehensive evaluation method for impact risk and belongs to the technical field of rock burst disaster prevention and control. During a stress-relieving and danger-demolition process, the impact risk evaluation for items is performed, namely, the actual measured impact risks of drilling detection, electromagnetic radiation monitoring, micro-seismic monitoring, stress monitoring, drilling hole stress-relieving and local dynamic effect are evaluated, and the item with the most serious risk level is taken as a comprehensive impact risk evaluation result. According to the invention, after the sub-item actual-measurement impact risk and the comprehensive impact risk are judged, the parameters of the monitoring and early warning and the stress-relieving and danger-demolition can be adjusted, so that a rock burst controlling measure is more practical and efficient, the rock burst controlling measure is targeted and the impact risk in the impact risk area is really reduced to the lowest; the effect evaluation can be performed on the pre-assessment for the impact risk implemented at an earlier stage; the pre-assessment method can be revised; the reliability of the pre-assessment is enhanced; a guiding function for making the rock burst controlling measure at the earlier stage is achieved.

The embodiment of the invention discloses a method and device for analyzing oil-string casing failure and belongs to the technical field of well completion engineering safety of unconventional oil and gas resource exploitation.The method comprises the steps that geological parameters and engineering parameters of stratums of different depths within a preset range at the position where a target oil and gas well is located are obtained, information of a high-risk area of an oil-string casing of the oil and gas well is determined according to the geological parameters and the engineering parameters, dynamic crustal-stress change and rock stratum deformation situation in the fracturing process of the stratum where the high-risk area of the oil-string casing is located are obtained according to the geological parameters, the engineering parameters and the information of the high-risk area of the oil-string casing of the oil and gas well, and the deformation occurrence of the oil-string casing is determined based on the obtained dynamic crustal-stress change and the obtained rock stratum deformation situation.By the adoption of the method and the device for analyzing the oil-string casing failure, the accuracy of analysis conducted on the oil-string casing failure under large-scale segmented volume fracturing conditions can be improved.

A river basin cascade reservoir and detention and retarding basin joint scheduling method comprises the following steps: S1, collecting the basic data of a river basin; S2, drawing a river basin flood risk chart and dividing risk areas; S3, acquiring precipitation, runoff forecast data and reservoir operation data of reservoirs and ranges in real time; S4, by taking the forecast and operation data in S3 as input, establishing and solving a reservoir group and detention and retarding basin joint real-time scheduling multi-objective optimization model; and S5, enabling detention and retarding basin compensation calculation. The method can give full play to the flood control and economical benefits of detention and retarding basins, and can be widely used in reservoir group and detention and retarding basin joint scheduling. Sustainable development of detention and retarding basins is taken into full consideration by enabling a compensation mechanism. A new scientific decision-making approach is provided for river basin flood control scheduling.

The invention discloses an advance support method for a coal mine tunnel high-risk area. The advance support method comprises the following steps of: taking a drill rod as a temporary support during roadway excavation; attaching the waste drill rod to the wall surface of a tunnel, and overlapping on the drill rod, and fixing tightly by using an iron wire to form a temporary support shed cover; under the temporary support of the shed cover, constructing an injection pipe, injecting cement and water glass or other solidified materials into the high-risk area by using a special grouting machine to make a top plate of the high-risk area solidified into a whole, and meanwhile, building a stone room by using dressed stones and taking the stone room as a permanent support; and performing 1 to 1.5m small cycle operation, and repeating the steps 2 to 4 to pass through the high-risk area smoothly. The high-risk area is difficult to pass through by a normal support technology; drilling shed and grouting support technologies are used as the advance support, so the high-risk area can be passed through safely and efficiently.

Provided is a method of identifying and locating high probability areas along a waterway that are likely to flood using real-time data processing of stream gauges and dispatching water capture teams to preventing flooding of the waterway. Water is diverged, blocked, or captured along the waterway to prevent flooding in residential areas. Water is captured in temporary storage devices such as tanks, reservoirs, fabric tube arrays, or available reservoirs, whereafter the collected water can then be analyzed and repurposed after the event. Captured water is tested, treated, and identified. The water can be repurposed or released after the event as necessary. The present method provides a preemptive and long term flood control means for waterways across the country by collecting public source data into a single database, mapping available data points, locating at-risk areas, and coordinating with authorities to divert the water and prepare the local population.

The invention discloses a method for maintaining rail transit safety based on big data. The method comprises a fire monitoring unit, a vibration detecting module, a parking monitoring module, a weather monitoring module, a height measurement module, a data determination unit, a big data module, a controller, a display module, a storage module, a database, an alarm module, and a data correction module. According to the method for maintaining rail transit safety based on big data, a fire location can be analyzed in time through a temperature sensor group, a wind detection module and a video monitoring group which are arranged in the fire monitoring unit; and the required spread time of the fire to a high-risk area, a threat area and a normal area in the map information of the subway stationcan be calculated respectively through an estimation unit in combination with wind speed information. The calculating process comprises the following steps: calculating the spread speed of flames stored in the database at a wind speed according to the wind speed information, then calculating the distances from the fire location to each area, and dividing the distances by the spread speed to obtaina corresponding time; and then acquiring a threat value of the fire according to a correlation algorithm.

The invention discloses an early recognition method of glacier lake outburst. The method comprises steps as follows: a, basic glacier data of an outburst glacier and a peripheral non-outburst glacierare determined; b, preconditions for glacier lake outburst are determined, wherein 1) the ratio r of the vertical height H between a potential ice avalanche mass center and the glacier to the linear distance L between the potential ice avalanche body mass center and the glacier is larger than or equal to 0.125, and 2) the rising water level H1 caused by the fact that an ice avalanche body slides into the glacier is larger than the critical water level H2 of glacier lake outburst; c, a synthetic glacier discrimination factor S for glacier lake outburst is calculated; d, when S is larger than 0.53, the risk is high; when S is larger than 0.38 and smaller than or equal to 0.53, the risk is medium; when S is smaller than or equal to 0.38, the risk is low. The internal mechanism is studied about the glacier lake outburst degree through topographical factors, a glacier lake outburst probability calculation model is established, topographic influence factors of glacier lake outburst are comprehensively considered, the glacier lake outburst risk area is precisely divided in a quantitative manner, and the adaptability is high.

The invention discloses a swelling soil humidifying and swelling numerical simulation method under the rainfall infiltration condition. The swelling soil humidifying and swelling numerical simulation method comprises the following steps: adopting a fluid-solid coupling module and compiling a relevant FISH language program, and realizing the relation of change of the non-saturated region matrix suction, the non-saturated permeability coefficient and the soil strength parameter along with the moisture content in the unsaturated seepage process; then based on the 'humidity stress field theory', according to the similarity of a seepage continuity differential equation and a heat conduction equation, deducing the equivalent conversion relation of a thermodynamic parameter and a seepage parameter, and adopting a thermodynamic module to realize swelling soil swelling deformation process under the humidifying condition. According to the swelling soil humidifying and swelling numerical simulation method, the swelling soil humidifying and swelling whole-process numerical calculation under the rainfall infiltration condition can be effectively and comprehensively realized, so that effective scientific guidance means are provided for engineering design and construction in the high-risk area of the swelling soil engineering disaster, and meanwhile application of the computational soil mechanics to the technical fields of practical engineering construction, geological disaster prevention and control, and the like, is powerfully driven.

The invention discloses an inspection method and device for a chemical industrial park, a server and a computer storage medium. The method comprises steps that an inspection route is generated according to the historical inspection information; the inspection route is sent to a drone to enable the drone to perform inspection according to the inspection route; the inspection information collected by the drone is received, and whether safety abnormality exists is determined according to the collected inspection information; if yes, the abnormality information is recorded, and the inspection route is adjusted according to the abnormality information to improve inspection efficiency. The method is advantaged in that field inspection labor intensity of inspection personnel is reduced, chances of people exposed to high-risk areas are reduced, inspection safety is improved, the inspection route can be adjusted according to the inspection situation, and comprehensiveness, pertinence and the inspection effect of the chemical industrial park can be further improved.

A precautionary measure against cell-phone triggered bombs is described that restricts call terminations within a designated security risk area without shutting down the entire network. Embodiments described herein provide for restricting call terminations directed to a designated security risk area that are originated from non-privileged users, i.e., the general public, yet authorizing call terminations directed to the security risk area that are originated from privileged government users (e.g., GETS / WPS users). Call originations are permitted within the security risk area from both privileged and non-privileged users.