34 results about "Exposure assessment" patented technology

A miniaturized, ruggedized, field-deployable Portable Exposure Assessment System (PEAS) is used to remotely monitor workers and provide real-time warning of exposure to musculoskeletal injury conditions via alarm and smart-phone transmission. The PEAS unit wirelessly acquires exposure data from sensors; conducts initial data analysis; triggers proximal and remote alarms; sends out text messages with abnormal data, GPS locations, and time stamps to a safety office; and saves data for more extensive assessment. Sensor technology is used in this field-deployable system to simultaneously measure and collect the body loads and awkward postures imposed by package handling as well as driving-related, low-frequency vibration exposures. Wireless technology is used to set up wireless communication links between the sensors and a data logger and between the data logger and a smart phone with GPS, date / time stamp and text messaging capabilities.

An image sensing apparatus is provided with an image sensor having a photoelectric conversion characteristic having a linear characteristic area where an electrical signal is outputted after being linearly converted in relation to an amount of an incident light and a logarithmic characteristic area where the electrical signal is outputted after being logarithmically converted in relation to the amount of the incident light; an evaluation value detector for detecting exposure evaluation values concerning an exposure control based on a luminance information of a subject; and a central control unit for controlling the exposure based on the exposure evaluation values detected by the evaluation value detector. The central control unit includes an exposure amount control parameter calculating section for controlling an exposure amount in accordance with the photoelectric conversion characteristic using the exposure evaluation values and a dynamic range control parameter calculating section for controlling a dynamic range in accordance with the photoelectric conversion characteristic using the exposure evaluation values. Accordingly, a subject image can be picked up while an optimal exposure is made for the subject and a specified dynamic range is attained.

The invention relates to a major hazard recognition method, a major hazard recognition system, a storage medium and a computer device. The method comprises steps: the state information of a hazard is acquired; the state information is inputted to a pre-built accident evolution model, and an accident type evolved by the hazard and the happening possibility of each accident type are obtained; according to the preset criterions, a disaster bearing carrier corresponding to the hazard is determined, and an exposure assessment model and a vulnerability assessment model of the disaster bearing carrier are acquired, wherein the number of preset criterions is at least two; the output result of the accident evolution model is read, and according to the output result, the exposure assessment model and the vulnerability assessment model, a risk prediction value corresponding to each criterion is calculated; and the risk prediction value of each preset criterion is compared with a corresponding risk threshold, and according to the comparison result, whether the hazard is a major hazard is judged. Thus, the major hazard can be effectively recognized, and happening of a major accident is prevented.

The apparatus described herein is a miniaturized system for particle exposure assessment (MSPEA) for the quantitative measurement and qualitative identification of particulate content in gases. The present invention utilizes a quartz crystal microbalance (QCM) or other mass-sensitive temperature compensated acoustic wave resonator for mass measurement. Detectors and probes and light sources are used in combination for the qualitative determination of particulate matter.

The method of the present invention to re-factor, rationalize, and prioritize a service model and to assess service exposure in the service model is illustrated. The service model is reviewed and re-factored and the service portfolio and service hierarchy are refined, exposure decisions are made, and finally the service model and its constituent parts are rationalized based on the re-factoring and exposure decisions. Another technique called Service Litmus Tests (SLTs) is leveraged during service re-factoring and rationalization. SLTs are set of gating criteria to select and filter a set of (candidate) services from the service portfolio for exposure. A Service Exposure Assessment Toolkit (SEAT) is also presented in the present invention. SEAT is a mathematical model to facilitate making exposure decisions for services and prioritizing the services in the service model.

The invention relates to a workplace benzene occupational exposure and carcinogenic hazard analysis method. A program of an adopted technical method analyses the risk by steps of a health risk assessment four-section method which is the most popular in the world, namely, risk identification, dose-response assessment, exposure assessment and risk characterization. The method comprises the following steps: numerically simulating an inner exposure dose by using ERDEM software; analyzing a quantitative relation between the exposure dose and the carcinogenic response by using a multi-step model; and analyzing the probability distribution rule by using a crystal ball Monte Carlo analogue method aiming at the uncertainty of the exposure and the risk. The invention firstly and perfectly provides a workplace benzene occupational exposure and carcinogenic hazard analysis technology; and the method can be applied to the work such as health monitoring, occupational exposure and health risk assessment and the like of high-risk occupational groups.

The method of the present invention to re-factor, rationalize, and prioritize a service model and to assess service exposure in the service model is illustrated. To be dedicated to every client's success means, in this context, to be sure we are building the right service portfolio for the client that has the highest relevance to what they do, what their objectives are, and what they aspire to achieve. Therefore, we need to periodically pause and review the service model as it stands, infant or mature, and validate its relevance from a client's perspective. This process is called rationalizing the service model (or portfolio). This review can lead to changes (called re-factoring) in the service model due to a re-prioritization. Some services will become more important, others will sink in priority. Thus, the method of the present invention is called service re-factoring and rationalization (SRR). The service model is reviewed and re-factored and the service portfolio and service hierarchy are refined, exposure decisions are made, and finally the service model and its constituent parts are rationalized based on the re-factoring and exposure decisions. Another technique called Service Litmus Tests (SLTs) is leveraged during service re-factoring and rationalization. SLTs are set of gating criteria to select and filter a set of (candidate) services from the service portfolio for exposure. A Service Exposure Assessment Toolkit (SEAT) is also presented in the present invention. SEAT is a mathematical model to facilitate making exposure decisions for services and prioritizing the services in the service model.

A miniaturized, ruggedized, field-deployable Portable Exposure Assessment System (PEAS) is used to remotely monitor workers and provide real-time warning of exposure to musculoskeletal injury conditions via alarm and smart-phone transmission. The PEAS unit wirelessly acquires exposure data from sensors; conducts initial data analysis; triggers proximal and remote alarms; sends out text messages with abnormal data, GPS locations, and time stamps to a safety office; and saves data for more extensive assessment. Sensor technology is used in this field-deployable system to simultaneously measure and collect the body loads and awkward postures imposed by package handling as well as driving-related, low-frequency vibration exposures. Wireless technology is used to set up wireless communication links between the sensors and a data logger and between the data logger and a smart phone with GPS, date / time stamp and text messaging capabilities.

An image sensing apparatus is provided with an image sensor having a photoelectric conversion characteristic having a linear characteristic area where an electrical signal is outputted after being linearly converted in relation to an amount of an incident light and a logarithmic characteristic area where the electrical signal is outputted after being logarithmically converted in relation to the amount of the incident light; an evaluation value detector for detecting exposure evaluation values concerning an exposure control based on a luminance information of a subject; and a central control unit for controlling the exposure based on the exposure evaluation values detected by the evaluation value detector. The central control unit includes an exposure amount control parameter calculating section for controlling an exposure amount in accordance with the photoelectric conversion characteristic using the exposure evaluation values and a dynamic range control parameter calculating section for controlling a dynamic range in accordance with the photoelectric conversion characteristic using the exposure evaluation values. Accordingly, a subject image can be picked up while an optimal exposure is made for the subject and a specified dynamic range is attained.

The invention discloses a convenient and small near-surface atmospheric boundary layer wind tunnel and an application thereof in risk exposure evaluation for people. The near-surface atmospheric boundary layer wind tunnel comprises a wind tunnel body and a backflow stabilization device; the wind tunnel body is provided with a natural wind injection device and a simulation testing device, the natural wind injection device and the simulation testing device are connected, and the simulation testing device is connected with the backflow stabilization device; the natural wind injection device is provided with a pipeline blower, a cyclone wind mixing pipe, a diffusing flow equalizer and a cyclone distributing pipe which are connected sequentially; an internal component for preventing flowing separation is arranged in the center in the diffusing flow equalizer; and a static mixing spiral rod is arranged in the cyclone wind mixing pipe and is welded on the inner wall of the cyclone wind mixingpipe. The wind tunnel measures the atmosphere-pollutant environment migration and transforming behaviors, the floor area of the wind tunnel is reduced, and the investment is saved. The evaluation problems about the migration transforming process of near-surface atmospheric pollutants of a local region in the environment and influence of the near-surface atmospheric pollutants on health of peoplecan be solved.

The invention discloses an immunoaffinity column for simultaneous purification of bisphenol A and its analogues and a preparation method and application thereof. An artificial antigen of bisphenol A and its analogues provided herein is an antigen prepared by coupling bisphenol A shown as any one of formulas I (1-5) and its analogue hapten to a carrier protein; an antibody prepared by immunizationis used to prepare the immunoaffinity column. The immunoaffinity column for simultaneous purification of bisphenol A and its analogues allows various components under test to be highly purified through single extraction; matrix effect of a sample can be substantially completely eliminated; purifying efficiency is greatly improved. The immunoaffinity column can be combined with LC-MS / MS detection technique to estimate exposure of food endocrine disruptors.

The invention discloses an assessment method for heavy metal contaminated sites in southern China. The assessment method comprises the following steps of A, initiating risk assessment; B, identifyinghazards; C, conducting exposure assessment and toxicity assessment; D, conducting risk characterization; E, judging whether or not the risk is acceptable; F, yes, ending the risk assessment; G, no, calculating soil limitation based on carcinogenic risks and the soil limitation based on non-carcinogenic risks; H, putting forward a soil repair suggestion control value, and ending the risk assessment. According to the method, monitoring points are located in the area which may be directly contacted with heavy metals, the sampling depth mainly adopts the upper layer of soil, simultaneously the soil samples collected are screened preliminarily by a heavy metal detector, the samples with high detection value are selected for laboratory analysis, on the one hand, the contamination condition of investigation sites can be determined quickly and preliminarily, and on the other hand, the optimization of detection funds can be achieved, which in line with own interests of people.

The present invention discloses a convenient and small ground atmospheric boundary layer and its application in crowd risk exposure assessment. The near ground atmospheric boundary layer wind hole includes wind tunnel main body and reflow stabilizing device; wind tunnel body is provided with a natural wind injection device and analog test device, natural wind injection device is connected to analog test device, analog test device and an reflow stabilizing device; The natural wind injection device is provided with a pipe fan, a cyclone mixing, diffusion homage, and a free-conveying tube; in the center position in the diffusion homogenizer, an internal member in which the flow separation is provided; It is provided with a static mixed spiral rod, and the static mixing spiral rod is welded in the inner wall surface of the swirl mixture. The wind tunnel is measured on the migration and transformation behavior of the atmospheric-pollutant environment, which reduces the footprint of the wind tunnel, saves investment. Evaluation of the Environmental Migration Transformation Process and Its Health Influence of Population in the Local Area.

The invention provides a quantitative risk evaluation method and system based on the combined action of mixed benzene series, and the method comprises the steps: achieving internal exposure evaluation based on an inhalation PBPK model of mixed benzene series exposure; carrying out carcinogenic risk evaluation by using a multi-order model based on internal exposure evaluation; based on the internal exposure assessment, a risk index HI is used for non-carcinogenic risk assessment. The technical problem of simulation of metabolism of the mixed benzene series in a human body is solved; on the basis of considering the joint effect, quantitative health risk evaluation of mixed benzene series exposure is realized.

The invention discloses a traceability risk assessment method for aflatoxin in oil crops in the technical field of food safety. The method comprises the following main steps of: S1: carrying out original research on grain and oil crops; S2: carrying out sample pretreatment; S3: carrying out sample detection and data acquisition; S4: carrying out data analysis and result output; S5: establishing aflatoxin exposure assessment indicators; S6: establishing an aflatoxin exposure assessment model; and S7: controlling the product storage environment and storage time of plant edible oil. According tothe method, a liquid quality-mass spectrometry technique is used to determine the content of aflatoxin; the sample pretreatment process is simplified, so that the detection efficiency is improved; thecontent of aflatoxin daily ingested by human body is fitted to establish the aflatoxin exposure assessment model; and the content of aflatoxin is controlled from the planting, processing and productstorage links of oil crops, thereby reducing the daily ingestion of the human body and improving the safety of grain and oil crops.

The invention discloses a scene-based pollution site ecological risk evaluation method. The method comprises the following steps: (1) constructing differentiated scenes according to future land development and utilization modes of polluted sites and bio-available soil parameter pollution, and endowing different protection targets to the polluted sites under different scenes; (2) collecting toxicity data of pollutants in the polluted site on different soil organisms to perform effect evaluation, and measuring exposure concentrations of the pollutants at different sampling points in the polluted site to perform exposure evaluation; according to a protection target obtained through scene matching, effect evaluation and exposure evaluation are combined through a probability ecological risk evaluation method, and the probability of the ecological risk of pollutants in the polluted site is obtained. A series of scenes are formulated according to soil properties and a land development and utilization mode of a polluted site; according to the differentiated protection target formulated according to the scene, the accuracy of ecological risk assessment can be effectively improved, and meanwhile, a pollution control basis can be practically provided for risk quantitative analysis.

The invention relates to a quantitative risk assessment method for salmonella in a broiler chicken industry chain. The quantitative risk assessment method comprises hazard identification, exposure assessment, hazard characteristic description and risk characteristic description. The risk feature description comprises a risk fitting method, and the risk fitting method specifically comprises the following steps: 1, evaluating model input, and constructing a distribution function of a plurality of model input parameters; 2, performing Monte Carlo simulation on the distribution function, correcting data loss, and representing a simulation result in a probability distribution mode to obtain an evaluation result; and 3, performing sensitivity analysis, analyzing the influence of each risk factoron an evaluation result, and representing the same by combining a Spearman correlation coefficient with a tornado graph. According to the method, uncertainty of microbial risk assessment and possiblenumerical values and ranges under specific conditions are described through distribution function fitting.

The invention relates to a petrochemical enterprise chemical poison semi-quantitative percutaneous exposure risk decision-making method, and mainly solves the problems of lack of chemical poison percutaneous exposure assessment methods and difficult management decision-making in the prior art. According to the petrochemical enterprise chemical poison semi-quantitative percutaneous exposure risk decision-making method, a petrochemical enterprise chemical poison semi-quantitative percutaneous exposure risk decision-making system is adopted to perform petrochemical enterprise chemical poison semi-quantitative percutaneous exposure risk grade evaluation and judgment and provide different grades of skin exposure risk control management strategies. The system comprises an information acquisitionmodule, a skin hazard level evaluation module, a similar exposure group screening module, an exposure factor data acquisition module, a skin exposure level calculation module, a skin risk level judgment module and a skin risk control decision module. The method can solve the problems well, and can be used in petrochemical enterprise chemical poison semi-quantitative percutaneous exposure risk decision.

The invention relates to a country drinking water health risk assessment and management method and belongs to intersection of disciplines including science of environmental health, hydrology, science of water resources and the like. According to the country drinking water health risk assessment and management method, based on the four-step health risk assessment method (harm identification, dosage-reaction relation assessment, exposure assessment and risk characterization) of the National Academy of Science (NAS), human health hazards which may be caused by hazardous materials in a country drinking water source are assessed, the time distribution condition and the space distribution condition of the human health risk degree are analyzed based on the GIS technology, a visual geographic information management platform for country drinking water health risk assessment and management is also established, and therefore a scientific decision basis can be effectively provided for drinking water health risk control.

The invention relates to the technical field of exposure assessment methods, in particular to a method for multipath exposure assessment of a human body to a flame retardant based on the combination of atmospheric stratified sampling and skin wiping. According to the method, the monitoring is performed according to the air condition of the field, and the air particle and the dermal exposure are simultaneously sampled, wherein the air particles are collected by a graded sampler, the samples can be collected in different diameters, the exposure characteristics of the particles with different diameters can be accurately assessed, the simultaneous detection is performed, the simultaneous assessment of the multi-path exposure is realized and the exposure characteristics of the human body to thepollutants can be comprehensively understood.

The invention proposes a low-dose benzene occupational exposure assessment method and system; including determining benzene content; determining benzene operations and key risk management objects; determining contact biomarkers for low-dose benzene exposure tracking; and performing exposure assessment according to scenarios. The invention solves the problem of being unable to quantitatively evaluate low-dose occupational exposure to benzene, helps scientifically analyze the degree of benzene occupational hazards, and provides a basis for clarifying key control points and key control groups of benzene occupational disease hazards.

The present invention relates to a fast automatic adjustment method and device for camera exposure time, which divides camera exposure time into different gears, and the exposure time corresponds to different gears from short to long; initializes the exposure time for the camera, and takes pictures to obtain an image , and calculate the average gray value of the image; express the average gray value in eight-digit binary, and compare the upper five digits with the exposure intensity value in the preset exposure intensity-adjustment step table to obtain the The adjustment step value corresponding to the exposure intensity; adjust the current gear according to the adjustment step value to get a new gear, then the exposure time corresponding to the new gear is the camera exposure time for the next shooting, realizing the camera exposure time Automatic adjustment; the invention only relies on high-performance FPGA to collect image data at high speed, and evaluates the camera exposure intensity by using the average gray scale of the image. The algorithm is simple, effective, and real-time, and it is convenient for hardware transplantation.

The invention discloses a ray negative image exposure quality evaluation method based on main target area constraint. The method comprises the following steps of analyzing a negative image by using aself-adaptive weight area method, and carrying out area division on the negative image to obtain a main target area; determining an average brightness target value and a threshold value of a main target area of the negative film image with normal exposure through an experiment; calculating the average brightness of the main target area of the negative image automatically through an algorithm and compared with a target value, and then judging whether the image is exposed or not. The method solves the problems that the subjectivity is high and the method is easily interfered by factors such as the performance of a display when whether the digital image of the industrial ray negative film is normally exposed or not is manually judged. The feasibility of the method is verified through an instance analysis result, and meanwhile, the exposure assessment method provided by the invention has the advantages of automation, rapidness and accuracy, and can be used for research on digital archivingof industrial ray negative films.

The invention provides a chemical industrial park chemical acute poisoning risk assessment method and system, and the method comprises the steps: S1, hazard identification: identifying accident links and chemicals causing acute poisoning due to leakage through engineering analysis and field investigation; s2, exposure evaluation: carrying out exposure evaluation by adopting computational fluid dynamics (CFD) software, and predicting the concentration and influence range of chemicals in the air; the accident emergency level is determined; s3, dose-reaction relation evaluation: establishing a dose-reaction relation model to obtain a probability variable of an acute poisoning lethal probability; and S4, risk characterization: calculating the corresponding acute poisoning lethal probability by using the calculated probability variable, and evaluating the risk acceptable level of the chemical industry park. According to the invention, a scientific basis can be provided for risk management work such as reasonable occupational health construction, planning and layout, occupational health management, emergency rescue and the like in the chemical industry park, risk early warning and management capabilities are improved, and occupational disease hazard accidents are prevented and controlled.

The invention relates to a food pollutant exposure assessment method based on a Bayesian hierarchical model, which optimizes the calculation of the average concentration of pollutants in food, adopts the Bayesian hierarchical model to calculate and restore the known data in the literature, derives the concentration distribution probability, and then carries out the calculation of exposure assessment. According to the method, the total data, such as average value data and variance data, obtained in literatures can be summarized, random sample points of posteriori distribution are extracted by combining prior distribution, using a Bayesian hierarchical model and adopting an MCMC sampling method, so that concentration distribution of detected pollutants is obtained, and then exposure evaluation is calculated by combining consumption data. According to the method, the data can be corrected, and the data can be restored more accurately.

A retail package for a perishable product includes a box as an outer package; and an electronic tag for obtaining information relating to the integrity of the product as assessed from an exposure of the product to physical or environmental conditions during a time span. The tag has a main part including an electronics unit and a rip strip having a breakable electrical connection operationally connected to the electronics unit. The electronics unit includes a control unit; at least one sensor for monitoring the physical or environmental conditions; a display for displaying data relating to the integrity; and a switch. The control unit is structured and configured to detect a breaking of the electrical connection; to terminate the monitoring in reaction to detection of breaking of the electrical connection; and to effect that the display unit displays the status data in reaction to an operation of the switch.