74 results about "Hazard index" patented technology

Described are methods and apparatuses, including computer program products, for conveying vehicle driving information. A hazard index indicating a level of driving safety is generated for a plurality of road segments. The generating comprises determining a hazard value for each of the plurality of road segments based on weather conditions data associated with the road segments, road conditions data associated with the road segments, and physical attributes of the road segments, and assigning the hazard value to the associated road segment. Location data associated with a remote device is received. Hazard information associated with one or more of the plurality of road segments and based on the location data and the hazard index is transmitted.

A multi-parameter aggregative indicator forecasting method of a coal petrography dynamic disaster is suitable for forecasting coal petrography dynamic disasters such as outburst of coal and gas and rock bust of coal and gas in a coal mine excavating process. When various index prediction methods are coupled in the same monitoring system, problems such as how to select importance degrees of various indicators and how to determine a critical value of the various indicators are produced. According to amplitude values of four indicators including electromagnetic radiation, slight shock, acoustic emission and gas density, an average value of the amplitude values in a normal level and the maximum value of the amplitude values of the four indicators when the coal petrography dynamic disasters happen at any moment, the multi-parameter aggregative indicator forecasting method of the coal petrography dynamic disaster determines a single indicator hazard index of the four indicators at the moment. The value of single index hazard index determines single index weights of the four indicators, and therefore an aggregative indicator hazard index of the four indicators is calculated, and finally a danger class of the coal petrography dynamic disaster which happens in an excavating roadway is determined according to the value of the aggregative indicator hazard index. The multi-parameter aggregative indicator forecasting method of the coal petrography dynamic disaster provides a critical value determination method and an early warning standard for the research and development of a multi-parameter monitoring system of the coal petrography dynamic disaster.

The invention provides a non-contact type emotion detection method and a device, and relates to the technical field of emotion detection. The method comprises the following steps of collecting video information containing a to-be-detected human body and a heat map / hot point area graph of the to-be-detected human body through a camera and an infrared sensor; recognizing the video information and the heat map / hot point area graph, so as to obtain the human body feature data of the to-be-detected human body; performing deep learning, engine correlation and analysis on the human body feature data, so as to obtain the nervousness degree of the to-be-detected human body; outputting the result of the nervousness degree of the to-be-detected human body through the deep learning, engine correlation and analysis. The method has the advantage that by combining intelligent sensing technique, machine vision and deep learning, engine correlation and analysis, the human body feature data can be judged in short time according to the collected video and other data, the hazard index and psychological nervousness degree of the to-be-detected human body can be finally analyzed, and the effective reference is provided for a detector to predict and prevent the hazard.

The invention discloses a network safety event hazard index evaluation method based on multi-dimensional association, and also discloses a network safety situation awareness system adopting the network safety event hazard index evaluation method. The method is established on the basis of an asset database and a vulnerability database. The harm of the attack event to the safety network is calculated by using threat modeling; threats brought to a safety system by specific threat attacks are quantified, factors influencing network safety, including safety events, host vulnerabilities, provided services and the like, are considered, the hazard degree of the activities is analyzed according to the corresponding relationship between the safety activities and assets, vulnerabilities and the like,and the evaluation result is more accurate and credible.

The invention discloses a prediction method for coal and gas outburst based on seismic information. The prediction method includes following steps: determining main geological factors for affecting coal seam gas occurrence and outburst according to the mine geological condition of a coal mining area; classifying the geological factors according to the classification criterion of the factors for affecting the coal seam gas occurrence and outburst; determining the weight coefficient Omegai value of the main geological factors according to the contribution of various geological factors to the gas outburst; calculating the gas outburst danger coefficient G value and the gas outburst hazard index R value; and predicting and evaluating the coal seam gas outburst regarding the gas outburst hazard index R value as the evaluation index. According to the prediction method, the main geological factors for affecting the coal seam gas occurrence and outburst are quantified by the adoption of various lithological seismic methods, the prediction and evaluation method for the coal and gas outburst based on the seismic information is proposed, deformed coal development areas and gas enrichment areas related to gas outburst are evaluated and predicted, and important technical support is provided for the prevention of the coal mine gas outburst.

The invention provides an invented intelligent online type traffic light and intelligent traffic system and a method thereof. The system mainly comprises an intelligent terminal, a crossing online device and a traffic light device. The functions of forming car interconnection, issuing car codes through the intelligent terminal and receiving external car codes and the functions of forming car and road interconnection, making the intelligent terminal interact with the intelligent online traffic lights, and displaying traffic light information and traffic information on the intelligent terminal are achieved. The intelligent traffic light display can be conducted no matter how many intelligent terminals are installed. Warning of different warning degrees is given, and the efficiency of a car passing through a crossing is the highest. Cross-boundary integrating innovation is conducted, and the technical bottleneck is broken through. By monitoring the surroundings through APP development software, when an accident car appears and a car with high hazard indexes appears, warning is given. The intelligent terminal can direct display the traffic light information or reflect and display the traffic light information or project and display the traffic light information. The application breakthrough of traffic and Internet fusion is found, and the intelligent traffic system is obtained. The huge advantages of being advanced in technique, remarkable in effect and convenient to popularize are achieved.

The invention discloses a method for pre-warning forest fire based on satellite remote sensing data, and solves the problem that existing forest fire danger forecasting is insufficient in precision. The method comprises the following steps: obtaining image data, and carrying out radiation correction, geometric correction and projection transformation; using processed image data to calculate surface temperature; using processed image data to calculate normalized differential vegetation index so as to calculate vegetation coverage rate; obtaining a panchromatic image and a multispectral image, carrying out geometric correction on the panchromatic image and the multispectral image, fusing the panchromatic image and the multispectral image for vegetation classification, constructing combustible moisture content models of different types of vegetations in combination with meteorological factors, and calculating the moisture contents of different types of vegetations; calculating dynamic hazard indexes of forest fire through the surface temperature, the vegetation coverage rate and the moisture contents of different types of vegetations, and classifying fire danger classes according to the dynamic hazard indexes of forest fire. According to the method, the precision of a combustible moisture content model is much higher than that of a model determined through remote sensing satelliteparameters directly.

The invention provides an automatic feeding system of an injection molding machine. The automatic feeding system comprises a control system, a tray feeding device, a transfer robot and an injection molding machine feeding device, wherein the tray feeding device, the transfer robot and the injection molding machine feeding device are connected with the control system, at least one feeding area which is used for storing a tray for bearing a workpiece is formed on the tray feeding device, and a first chuck fixture is at least installed on the tail end of the transfer robot. When the automatic feeding system is operated, the transfer robot is controlled to suck at least one workpiece from the tray by utilizing the first chuck fixture and convey the workpiece to the injection molding machine feeding device by the control system, and the workpiece is conveyed to the injection molding machine by the injection molding machine feeding device. Therefore, full-automatic feeding can be realized by the automatic feeding system of the injection molding machine, the damage to the surfaces of products due to manual feeding is avoided, additionally, the hazard index of manual operation can be reduced, the working efficiency is improved, and the production cost is reduced.

A method for evaluate environmental quality of heavy metals in sediment include collecting basic data of sediment, including regional geochemical background value of heavy metals in sediment and dataof physical and chemical property of sediment, specifically including content of heavy metals in sediment, content of alumina in sediment, content of organic matter in sediment and median grain size of sediment; The contents of heavy metals in sediments and the regional geochemical background values of heavy metals in sediments were treated by triangular fuzzy number and alpha-cut set. The enrichment index of heavy metals in sediment was calculated and the source of heavy metals in sediment was judged by correlation analysis. Calculate the accumulative index, and judge the pollution level of heavy metals in sediment based on the calculation of membership degree; Calculate the single factor pollution index, calculate the potential ecological hazard index, and then calculate the ecological risk of heavy metals in sediment based on the membership degree. The invention overcomes the shortcomings of uncertainty of data selection and evaluation results, reasonably evaluates the environmentalquality of heavy metals in sediments, and provides effective technical support for environmental quality management.

The invention relates to an automatic vibration device. The automatic vibration device is characterized by comprising a truss (1), wherein a set of wheels (2) is arranged at the lower side of the truss (1); at least one of the wheels (2) is connected with a walking motor (3); the truss (1) is at least connected with a wire winding device (4); each wire winding device (4) is connected with a vibration rod (5); the wire winding device (4) comprises a wire winding motor (6); and the wire winding motor (6) is connected with a winding shaft (8). The automatic vibration device has the following advantages: the device is simple in structure, is suitable for vibrating a concrete beam in the beam construction, is convenient for movement and disassembly, can guarantee the construction quality and the construction efficiency, realizes automatic control, guarantees the equipment working stability, can adjust the size to adapt to the requirements of different working conditions within a certain extent, and reduces the noise pollution and the hazard index to a certain extent.

An apparatus, method and computer program storage device determine a composite hazard index. An interface receives a first risk score for a first hazard and a second risk score for a second hazard. The first risk score is in a first range of scores and the second risk score is in a second range of scores. A processing circuit emphasizes at least some scores in at least one of the first range of scores and the second range of scores. The processing circuit also normalizes the first risk score with respect to the first range of scores and second range of scores, and normalizes the second risk score with respect to the first range of scores and second range of scores. The processing circuit also combines a normalized first risk score with a normalized second risk score to form at least a component of a composite risk index. The first risk score and second risk score being specific to a common property.

The invention discloses a method for evaluating the hazard of a gas tunnel, an evaluation system for implementing the method, and a device for implementing the method, which belong to the technical field of gas tunnel constructions and aim to evaluate the hazard of the gas tunnel. The method, the system and the device are characterized by establishing a gas tunnel hazard index classification table memory, a security level corresponding table memory and a table memory, and inputting the following hazard indexes on site: stratum lithology (R1), geological structure (R2), coal-openning times (R3), absolute gas discharge amount (R4), gas density (R5), gas pressure (R6), gas tunnel construction experience (R7) of a construction team, the technical level of the construction team (R8), engineering measures (R9) and the evaluation value of a management control system (R10), wherein the hazard indexes are analyzed and processed to obtain an evaluation result through which engineering measures for dealing with the hazards can be made earlier, thus the method, the system and the device have important meanings on ensuring the construction safety and saving the cost for after-treatments of an accident.

The invention provides a workplace harmful gas health risk quantitative evaluation system and an evaluation method thereof. The system comprises a server and at least one workplace. Each workplace isprovided with a host monitoring system and a plurality of station monitoring subsystems. The plurality of station monitoring sub-systems are respectively connected with the first type of intelligent terminals of the station area in a matching manner and transmit the received information to the station monitoring sub-systems connected with the station monitoring sub-systems in the matching manner in a Bluetooth manner. The station monitoring subsystem is connected with the host monitoring system and transmits the received information to the host monitoring system, and the host monitoring systemis connected with the server and performs information interaction with the server. Therefore, on the basis of the monitoring system, the hazard index of each worker is calculated according to the concentration, the working duration and other data of the harmful gas contacted by the worker in each workplace, namely a workshop, and then monitoring information can be pushed to the first type of intelligent terminals and the second type of intelligent terminals.

The invention discloses a major safety risk recognition and evaluation method for a metal smelting enterprise. The method comprises the following steps: collecting accident case data of a metal smelting enterprise, analyzing accident cases, and searching risk factors related to accidents; dividing risk units according to a metal smelting process, and compiling a metal smelting enterprise general risk recognition list; forming a general risk and hidden danger violation evidence information list; dividing risk evaluation units by taking the smelting process as a unit and taking the risk point as an evaluation main line; establishing a metal smelting enterprise high-risk inherent risk index system, and calculating an inherent risk index of a risk point through the established metal smelting enterprise evaluation model; unit inherent risk evaluation, unit risk frequency determination, unit initial high-risk safety risk evaluation and dynamic risk factor recognition; the unit risk is aggregated to the enterprise risk. The intrinsic safety degree and the safety management level of metal smelting enterprises are improved, major and extra-major accidents are prevented, and accident harm consequences are relieved.

The invention has the design principle that prediction wind field and turbulence provide basic meteorological information for a prediction precaution system by a meteorology numerical value forecasting system; the prediction precaution system predicts chemical hazard by respectively aiming at a protected target or an accident source; according to the hazard prediction result and a hazard index system, the spatial and temporal distribution of the chemical hazard precaution information is determined; the prediction precaution system is integrated with GIS by a data conversion engine to build a prediction precaution optimal control application system based on the GIS platform; and the optimal control scheme can be determined according to the precaution information to effectively control chemical hazard. The system is suitable for the requirements on the complex environment of battlefields and emergency response fields, and can satisfy the requirements on timeliness, accuracy and intuitionism of chemical hazard prediction precaution and control.

The present invention provides a risk index evaluation method, device and electronic equipment. The method includes: obtaining target data; constructing a character relationship network through the target data; calculating the comprehensive centrality of the objects to be evaluated in each character relationship network, and calculating The risk weight of each person's relationship network; calculate the risk index of the object to be evaluated according to the comprehensive centrality and the risk weight. In the evaluation method of the risk index of the present invention, the data sources are extensive, not limited to communication text data, but also involve character relationship data and consumption data. Based on these data, multiple character relationship networks are constructed to solve the problem of a single data source. Moreover, the risk index evaluation method in the present invention adopts the unique concept of comprehensive centrality and risk weight, which can make the result of the final calculated risk index more accurate, and alleviate the single data source of the evaluation method in the prior art. Technical issues with poor accuracy of assessment results.

The invention discloses an evaluation method for a safety level of flat and vertical combinations of a highway in mountain areas. The method comprises the implementation processes of (1) searching andsorting materials and preprocessing the materials; (2) calculating and researching hazard indexes of a road section by use of a Matlab (Matrix laboratory); (3) dividing the flat and vertical combinations according to a road design speed; (4) determining the hazard index of each flat and vertical combination; (5) filling a flat and vertical combination evaluation form by use of the Matlab; (6) grading the hazard indexes; and (7) evaluating the safety level of the flat and vertical combinations. According to the evaluation method for the safety level of the flat and vertical combinations of thehighway in the mountain areas, the concept of the hazard indexes is introduced, the safety level of the flat and vertical combinations of the highway in the mountain areas is researched from the aspect of the severity degree of an accident to obtain an accurate evaluation conclusion, thereby providing a specific technical reference to a designer.

The invention relates to an emergency operation method of a chemical accident, in particular to an emergency operation system of high-risk chemicals, belonging to the technical field of chemical defense. The system of the invention comprises a toxic and harmful substance monitoring analyzer, a weather observation instrument, a data transmission module, a GIS positioning navigation module, a source intensity mode module, a hazard forecast module, a diffusion mode module, a hazard early warning module, a hazard index system, a data conversion engine, a GIS analysis and exhibition module and an emergency command module. In the system of the invention, chemical hazard early warning levels are determined according to a hazard assessment result and the hazard index system; through the data conversion engine, the hazard assessment and GIS are integrated to build the emergency operation system based on a GIS platform; and according to early warning information, emergency control schemes are determined to achieve effective control on the chemical hazard.

The invention is suitable for the technical field of computers, and provides a safety monitoring method and equipment for an engineering field; the method comprises the steps: carrying out the recognition of a target top view image, and obtaining the region type of each pixel in the target top view image; identifying the target ground image to obtain a target object in the target ground image and position information of the target object; calculating a motion danger index between the target objects; and determining a regional hazard index; calculating a danger coefficient of the target object according to the motion danger index and the regional danger index; and performing safety monitoring on the engineering site according to the danger coefficient. According to the scheme, the multi-dimensional information of the engineering site is comprehensively obtained from the dynamic operation angle of the whole engineering site. The danger coefficient of the target object is calculated according to the motion danger index and the area danger index, safety early warning can be carried out more comprehensively through the danger coefficient, and the safety of an engineering site is monitored more comprehensively.

The invention discloses a bilateral disassembly line setting method considering station constraints and energy consumption. The method comprises the following steps: (1) constructing a mathematical model taking minimization of the number of workstations, idle indexes, hazard indexes and energy consumption indexes as targets; (2) initializing a population, setting an external file, comparing a target function value of the initial population through Pareto, and outputting a Pareto optimal solution to the external file; (3) updating the population by adopting a differential random strategy and adifferential evolution strategy; (4) performing Pareto comparison on a mixed population consisting of the updated population and the external archives, and updating the external archives and the population; (5) repeating the steps (3)-(4) according to the set number of times; and (6) outputting a Pareto optimal solution in the external file as a disassembly task allocation scheme. According to themethod, the population is updated by adopting the differential random strategy and the differential evolution strategy, so that the diversity of the solution is ensured, the calculation is preventedfrom falling into local optimum, the optimal solution can be quickly found, and a quick convergence effect is achieved.

The invention discloses a rainfall sensing device capable of indicating a hazard index. The rainfall sensing device comprises a microprocessor module, an audible and visual alarm module, an infrared ray transmitting module, an infrared ray receiving module and a communication module. The audible and visual alarm module comprises a pulse generating circuit, an audio pulse generator, an LED lamp and an electroacoustic transducer. The input end of the pulse generating circuit is connected with the microprocessor module, and the output end is connected with the LED lamp. The input end of the audio pulse generator is connected with the microprocessor module, and the output end is connected with the electroacoustic transducer. The input end of the infrared ray transmitting module is connected with the microprocessor module. The output end of the infrared ray receiving module is connected with the microprocessor module. The rainfall sensing device can reduce actions of a driver for dialing a windshield wiper and adjusting the speed of the windshield wiper, and can remind the driver of hazard index change in driving in rain through light and sound. The driver can appropriately adjust driving speed or performs stopping according to light flushing speed and sound interval length.

The invention discloses an enterprise major safety risk grading intelligent management and control method. The method comprises the following steps: obtaining safety risk management and control basic data of the enterprise, unit risk management and control data of the enterprise, and enterprise dynamic risk management and control data; carrying out risk point inherent risk index assessment, unit safety production risk assessment, enterprise safety production risk assessment, industry safety production risk dynamic assessment and regional safety production risk dynamic assessment; establishing risk automatic assessment hierarchical management and control, including unit inherent and real risk assessment hierarchical management and control; and carrying out the enterprise unit inherent and real risk assessment hierarchical management and control, industry dynamic risk assessment hierarchical management and control, and regional risk dynamic risk assessment hierarchical management and control. According to the invention, dynamic management and control of enterprise risks are facilitated, government departments are also facilitated to carry out grading and classified intensive supervision on the enterprise risks, and an intelligent and systematic risk grading management and control system is formed.

The invention discloses a comprehensive remote sensing recognition method and system for hidden danger of glacial lake outburst, and relates to the technical field of disaster recognition. The method comprises the following specific steps: acquiring environment data, wherein the environment data comprises DEM data, radar data, optical remote sensing image data and thermal infrared remote sensing data; determining susceptibility indexes of glacial lake outburst disasters according to natural outburst factors of the glacial lake dam and external force outburst factors of the glacial lake dam in combination with the environmental data; determining the scale of a disaster-bearing body according to the multi-period optical remote sensing image data, and further determining the hazard index of the glacial lake outburst disaster; and by taking the susceptibility index and the hazard index as parameters, evaluating the risk level of the glacial lake outburst disaster hidden danger by using a geological disaster hidden danger risk evaluation model. The ice lake outburst disaster risk evaluation system constructed by the invention is more complete in composition content; the method can consider the influence of the harmfulness evaluation factor and the susceptibility evaluation factor on the evaluation scheme optimization decision at the same time, and is scientific, reasonable and high in applicability.

The invention provides an early warning defense system based on zoning, which includes an early warning module, a warning module and an attack module. The early warning module includes an active earlywarning unit, a sign warning unit and an active monitoring unit. The warning module includes an inquiry judging unit, an active warning unit and a linkage alarm unit. The attack module includes a quick attack unit. A user checks the hazard index around the house through a user side. A control device collects and monitors the behaviors and activities of a visitor entering a defense area. An alarmdevice actively warns the visitor, starts linkage alarm for behaviors such as lock picking, and notifies the user of corresponding information through a variety of ways such as via a short message, acall, Wechat and the user side. The user can choose either to give an alarm or to establish a safety task on the user side. The transformation from the traditional passive defense mode to the zoning-based early warning defense system which has such functions as active early warning, warning, active monitoring, inquiry judging, linkage alarm and quick attack is realized.

The invention discloses a network security decision-making method and device for a game attack and defense graph and a storage medium, and the method comprises the following steps: employing an optimal vulnerability evaluation weight combination search algorithm and an optimal vulnerability point evaluation weight combination selection algorithm to evaluate vulnerability points of all host nodes,and obtaining high-diversity scores of the vulnerability points; constructing a state attack and defense graph; calculating the success probability and hazard index of attack accumulation in the stateattack and defense graph in combination with the high diversity score of the vulnerability; establishing a game model according to the state attack and defense graph; solving the game model to obtainan optimal attack and defense strategy. An optimal vulnerability evaluation weight combination search algorithm and an optimal vulnerability point evaluation weight combination selection algorithm are adopted to evaluate vulnerability points in a target network, the actual harm condition of each fragile point can be effectively distinguished, so that a more reliable game attack and defense graphis established, the optimal security strategy of the network is obtained by solving the game attack and defense graph, and the network management of the maximum income is realized.

The invention discloses a human health risk assessment method for heavy metal contaminated soil. The method comprises the following steps: firstly, respectively constructing functional relationships C1 (pH) and C2 (pH) between the leaching concentration and acid dissolution state concentration of heavy metals in a soil sample and the pH value of an extracting agent; then, calculating the human health risk concentration Crisk in the soil sample, enabling the Crisk to meet a formula: Crisk = 0.5*C1 (pH)+0.5*C2 (pH); then, calculating the total carcinogenic risk and / or hazard index of heavy metalin the soil sample by referring to related parameters provided in "Technical Guidelines for Soil Pollution Risk Assessment of Construction Land (HJ 25.3-2019)" and a calculation model; and finally, evaluating whether the heavy metal contaminated soil has human health risks or not by referring to (HJ 25.3-2019) evaluation standards. The method is stricter, and dynamic evaluation of the human health risk of reutilization of the heavy metal contaminated soil after remediation under different pH environmental conditions is achieved.

The invention relates to an ecological risk evaluation method for soluble organic matter components based on three-dimensional fluorescence technology, and belongs to the technical field of regional ecological risk evaluation. The method comprises the following steps: constructing an intra-regional hazard index H evaluation index system by taking a soluble organic component source generated by human activity pollution in a water sample in a regional water sample as a content, and evaluating the hazard index H in the regional hazard index H; constructing a vulnerability index V evaluation indexsystem, and evaluating the vulnerability index V of the ecosystem in the region; and creating an ecological risk calculation formula as follows: Risk = hazard index Hn frangibility index V. The soluble organic component based on the three-dimensional fluorescence technology is short in consumed time, simple and efficient.

The invention relates to a cigarette microorganism introduction risk detection method, and a method for reducing the introduction risk, wherein the cigarette microorganism introduction risk detectionmethod comprises the steps of: calculating the influence size of at least two risk hazard factors on the microorganism introduction risk of a cigarette to be detected, wherein the risk hazard factorsare factors influencing the microorganism introduction risk of the cigarette to be detected; according to the influence size of the at least two risk hazard factors, calculating the risk hazard indexof the cigarette to be detected; and determining the risk level of the cigarette to be detected according to the risk hazard index of the cigarette to be detected. The detection method provided in theinvention is simple in principle, easy to realize and reliable in detection result, suitable for wide popularization, and provides reliable basis for controlling the cigarette microorganism introduction risk.

The embodiment of the invention provides a risk index analysis method and device, electronic equipment and a storage medium. The method includes: extracting at least one target feature word from the target delivery information according to the text classification model, and calculating a total tendency value of the target delivery information to which the target feature word belongs according to the calculated tendency value of the target feature word, thereby analyzing a risk index of the target delivery information according to the total tendency value. By adopting the risk index analysis method described by the method, a large amount of delivery information can be monitored, the risk index of the delivery information can be analyzed, and the efficiency of monitoring the delivery information and analyzing the risk index is improved.

The invention relates to a risk assessment method and system based on target organ classification, and a storage medium. The method comprises the steps of obtaining pollutant concentration data of each pollutant; comparing each pollutant concentration data with a corresponding preset concentration screening value, and if the pollutant concentration data does not exceed the preset concentration screening value, determining that the site has no risk; if the pollutant concentration data exceeds the corresponding preset concentration screening value, determining the pollutant as a concerned pollutant, screening all concerned pollutants, and calculating a hazard index set corresponding to each concerned pollutant; performing risk assessment on the site according to the hazard index set of all the concerned pollutants, and if the assessment is passed, determining that the site has no risk; and if the evaluation is not passed, calculating a risk control value set of all the concerned pollutants according to the target organ toxicity dose set of all the concerned pollutants. The method is based on target organ classification, and reflects the harm condition of each pollutant to human health and the risk control value for repairing action in more detail.