36 results about "Impact index" patented technology

The present invention is a system, method, and apparatus for determining the impact of crowding on retail performance based on a measurement for behavior patterns of people in a store area. The present invention captures a plurality of input images of the people by at least a means for capturing images, such as cameras, in the store area. In the captured plurality of input images, each person's shopping path is detected by a video analytics-based tracking algorithm. A subset of the people is identified as a crowd in the store area. In relation to the crowd, the behavior patterns of the target person are measured. After aggregating the measurements for the behavior patterns over a predefined window of time, the present invention can calculate a crowd index and a crowd impact index for the store area based on the measurements. A crowd index shows the level of crowd density in the store area caused by a crowd, including traffic count of the crowd in the store area. A crowd impact index comprises a traffic count of the target people who make trips to the store area and a shopping time index, such as average shopping time changes of the target people, in relation to a crowd in the measured store area.

The invention relates to a method, a system, apparatus, and software to be used for the method for the determination of the environmental impact of the production of cultivation plants and for increasing or maximizing a positive environmental impact. In the method, production parameters for cultivation are selected and cultivation procedures are performed, crop yieldhus produced is harvested, and a representative sample of the crop yield is delivered to reception analysis with the appendant information for the analysis of energy and carbon dioxide factors. An environmental impact index reflecting the environmental impact of the production of said cultivation plant is determined on the basis of this data and the appendant information. The index thus provided is utilized for the production of cultivation plants in an environmentally friendlier manner.

An earthquake damage prediction and prevention system for determining an impact or damage caused by an earthquake to objects associated with different geographical locations. A central unit with a filter module selects and collects earthquake related data of a plurality of network units. At least one impact ratio table is stored with a first data structure for storing geographical and / or topographical data coordinates of the different geographical locations. The geometric distances of the geographical locations from a hypocenter / epicenter are generated by an intensity calculation module with a coordinates processor. Local intensity values based upon the generated geometric distances and a given earthquake magnitude of a stored parameterization including variable weight parameters are generated by a propagation calculation unit of the intensity calculation module, whereas the generated geometric distances are stored assigned to the corresponding geographical locations by a second data structure of the impact ratio table. At least one of the variable weight parameters and / or at least one impact ratio for different earthquake intensity levels indicative of the impact or damage caused by an earthquake to the object and / or at least one object parameter defining earthquake exposed structures of the object are received from a plurality of users. By an index calculation module the impact index for the geographical locations is generated by determining in each case from the impact ratio table the impact ratio for the local intensity at the respective geographical location, and the impact ratios are added up weighted in each case by the weighting factor assigned to the respective geographical location.

Embodiments of the invention may include systems and methods for facilitating IT assessments. According to one embodiment, a method for representing information technology impact on an enterprise is provided. The method may include characterizing each of multiple IT applications according to multiple factors; and generating an operational impact index value for each of the IT applications based at least in part on the characterization of the respective IT application. Each operational impact index value may relate to an impact index scale representing a relative impact of the respective IT application on an enterprise.

The invention discloses a microquake multi-parameter early warning method of a rock burst in a high-stress concentration area. Microquake signals are recorded by use of a microquake monitoring system, and a microseismicity S value, a microseismic time information entropy Qt value, a microquake accumulation impact index E value and a microseismic activity abnormal index |Z| value are calculated and analyzed; after obtained data is analyzed, evolution graphs of the four indexes are respectively drafted; according to the drafted evolution graphs, whether the phenomena occurs in the same time period is analyzed that the microseismicity S value is firstly decreased within seven days and then is rapidly increased at a rate greater than a decreasing rate, the microseismic time information entropy Qt value is continuously decreased within four days, the microquake accumulation impact index E value is greater than a critical value Em and the microseismic activity abnormal index |Z| is greater than three, if the two to four from four indexes occur in the same time period, it is determined that a rock burst is about to take place. According to the invention, an early warning of the impact burst is given in an integrated mode by use of multiple parameter indexes, and thus the early warning accuracy can be effectively improved.

The invention discloses an environment-friendly steel for an ultrahigh strength automotive structural part and a production method of the environment-friendly steel. The environment-friendly steel isprepared from the following chemical components in percentage by weight: 0.11-0.50 percent of C, 0.15-0.65 percent of Si, 0.60-2.50 percent of Mn, smaller than or equal to 0.020 percent of P, smallerthan or equal to 0.010 percent of S, 0.015-0.080 percent of Als, 0.15-0.80 percent of Cr, 0-0.80 percent of Mo, 0-0.80 percent of Ni, 0-0.10 percent of Ti, 0-0.10 percent of Nb, 0-0.10 percent of V, 0.001-0.005 percent of B, smaller than or equal to 0.008 percent of N and the balance of Fe and inevitable impurities. The method comprises the following steps of performing molten iron desulphurization, conventional electric furnace or converter smelting, continuous casting, descaling treatment, casting billet soaking, rolling, cooling treatment, coiling, steel coil uncoiling treatment, blanking treatment, austenization, die stamping forming and quenching to obtain the steel for the ultrahigh strength automotive structural part. For the environment-friendly steel for the ultrahigh strength automotive structural part and the production method of the environment-friendly steel, the comprehensive energy consumption of ton steel is lowered by 71.5 percent, the environmental impact index is lowered by 55.2 percent, the demand on the steel for the ultrahigh strength automotive structural part for automotive body lightweight design is met, and the steel can be expandedly applied to other ultrahigh strength steel fields at the same time.

For determining an impact index which indicates the image or damage caused by an earthquake to a portfolio, an equation is stored for calculating a local earthquake intensity for a geographical location. The portfolio includes geographical locations and individual weighting factors assigned to the geographical locations. Furthermore, for the geographical locations stored are one or more impact ratio tables including impact ratios for different earthquake intensity levels. The impact index is calculated for the geographical locations by determining in each case the impact ratio for the local intensity at the respective geographical location, and adding up the impact ratios weighted in each case by the weighting factor assigned to the respective geographical location. An impact index that reflects the geographical distribution of the portfolio can be determined, without the need for a network of seismological measurement stations associated with the geographical locations.

The invention discloses an aviation meteorological forecasting quality assessment method based on weather influencing the flight volume. The method comprises steps of firstly determining meteorological elements having significant influence on the operation of the airport; cleaning historical flight operation data, aviation routine weather report data and terminal airport weather forecast data; counting the amount of flights executed by the airport plan; calculating the impact indexes of weather of the aviation routine weather report and the terminal airport weather forecast on operation of theairport; and finally evaluating the aviation meteorological forecasting quality. The aviation meteorological forecasting quality assessment index in the present invention is a continuous type index,and the calculation is simple and feasible. The calculation result is consistent with the actual experience of the aviation meteorological user, and the limitation that the traditional meteorologicalassessment result cannot be directly applied to the aviation meteorological forecast assessment is broken, which can better serve our country's civil aviation transport.

An apparatus for identifying outburst proneness of a gas-containing coal seam comprises an upper pad, a lower pad, permeation plates, a clamping mechanism, a vacuum extraction system and a gas injection system; the upper pad includes a vacuum extraction through hole; the lower pad comprises a gas injection through hole; the permeation plates each comprise a through hole connection, a communicating groove and a permeation hole; the clamping mechanism includes a left piece and a right piece that are in semicircular groove shape; upon the injection of gas in a coal sample, the upper pad and the lower pad clamp the coal sample from top and bottom through the permeation plates, the coal sample is radially clamped via the clamping mechanism, the coal sample is in a closed chamber, the upper pad is communicated with the vacuum extraction system to abstract the air in the coal sample, and the lower pad is then communicated with the gas injection system to inject gas into the coal sample. The apparatus enables a gas-containing coal sample to be acquired, impact index values of the gas-containing coal sample are effectively measured, and scientific basis is provided for the accurate assessment of the impact effect of gas upon a coal sample.

The invention relates to method for evaluating and calculating a lightning protection measure of a line for reducing a lightning strike risk. The method comprises the following steps: firstly, defining a probability that a tower relatively easily subjected to lightning strike and a probability of a dangerous current at this section; considering impact factors of various lightning protection measures on the lightning risk of a specific voltage class line; orderly defining economic impact index values of the various lightning protection measures on the overall transformation of the specific voltage class line; and finally, obtaining a lightning strike risk value of the specific voltage class line. The invention provides the comprehensive evaluation and calculation method of the lightning protection measure for reducing the lightning strike risk of a power transmission line, so as to provide a certain reference for the improvement of lightning protection of the power transmission line to some extent.

The invention relates to smelting and hot rolling processes of steel in the field of ferrous metallurgy and particularly relates to a hot rolling process for producing low-temperature impact work railway bridge steel. The low-temperature impact work railway bridge steel comprises the following components in percentage by mass: 0.15%-0.17% of C, 0.15%-0.30% of Si, 1.35%-1.45% of Mn, P is less than or equal to 0.020%, S is less than or equal to 0.005%, 0.020%-0.055% of Alt, 0.015%-0.035% of Nb. CEV is less than or equal to 0.43% and the balance of Fe, wherein precious metal Ni is not added. The hot rolling process comprises the steps of in the converter, carrying out LF and VD in turn, or carrying out RH, continuous casting and hot rolling in turn so as to obtain the low-temperature impact work railway bridge steel having low-temperature impact work of more than 120J at -40 DEG C, wherein the impact work actual product level at -40 DEG C can reach above 200J. By virtue of use of the hot rolling process, the strength, plasticity and low-temperature impact index of steel of a controlled rolling process meet the requirements, the production time of the procedure is short, the production efficiency is high, the machine yield of a rolling machine is decreased, and the cost is lowered.

The invention provides an impact risk static evaluation method and system combining theoretical analysis and on-site CT detection, a storage medium and computing equipment. According to the method, the method comprises the following steps: dividing factors influencing rock burst into global factors and local factors; establishing approximate linear relations between each influence factor and an impact risk, performing normalization processing and superposition to obtain a global impact influence index and a local impact influence index, and superposing the global impact influence index and thelocal impact influence index to obtain a theoretical evaluation impact risk index. In addition, theoretical evaluation and on-site CT detection results are superposed to determine the static danger distribution and grade of the target area. Based on the method provided by the invention, the scientificity and accuracy of impact risk assessment before mining are remarkably improved, and the treatment work of various rock burst disasters in the mining process can be more effectively guided.

A method and apparatus for adjusting an advertisement resource value are disclosed in an embodiment of that present application, and may be executed on the server of the advertisement placing party. As the advertise, the value of the impact index in different time periods may be known, impact indicator values such as conversion rate, according to the influence index value in the former time periodand the influence index value in the latter time period, adjustment resource values that need to be increased or decreased can be identified, if the impact indicator value in the latter time period is better than the impact indicator value in the previous time period, the current advertisement resource value and the adjustment resource value can be added to obtain the updated advertisement resource value, if the influence index value in the latter time period is not better than the influence index value in the previous time period, the current advertisement resource value and the adjustment resource value can be subtracted to obtain the updated advertisement resource value, so that the advertisement resource value can be adjusted more accurately as an advertisement placing party.

The invention provides a gas leakage treatment device, comprising: an air detector, a temperature and humidity sensor, a micro controller, a human body sensor, a data acquisition module, a timing module, an execution module, a communication module and a power module. The air detector, the human body sensor and the execution module are disposed at the outside of the gas leakage treatment device; the temperature and humidity sensor, the micro controller, the data acquisition module, the timing module and the communication module are integrated in a circuit board and are disposed at any positionsin the gas leakage treatment device; and the power module is disposed in a battery box in the gas leakage treatment device. The invention further provides a gas leakage treatment method. Compared with the prior art, the gas leakage treatment device provided by the invention can perform corresponding treatment actions according to the gas leakage level and the impact index generated thereby, thereby achieving the purpose of maximally protecting the personal safety of users under the premise of saving energy.

The invention discloses a cascade section splitting optimization method and system based on a gray correlation analysis method, and the method comprises the steps: calculating the out-of-step center,oscillation center, power unbalance degree and tide impact index values of each line of a cascade section when the system is unstable; selecting the maximum value of each index to form a virtual optimal scheme; calculating a gray weighted correlation degree between each splitting scheme and the virtual optimal scheme by adopting a gray correlation analysis method; and selecting the splitting strategy with the maximum grey weighted correlation degree as an optimal splitting scheme.Four factors including the out-of-step center position, the oscillation center distribution, the island unbalance degree after splitting and the tide impact are comprehensively considered, and the rationality of splitting operation and the stability of the system are improved.

The invention provides a key index determining method and device. The key index determining method includes: determining economic fluctuation impact indexes representing impact on economic fluctuations on the basis of acquired historical economic impact data; using the economic fluctuation impact indexes as independent variables and using economic fluctuation indexes representing economic fluctuation conditions as dependent variables to construct an economic fluctuation impact index screening model; training the economic fluctuation impact index screening model, and selecting a first economicfluctuation impact index set from the economic fluctuation impact indexes; performing further preset screening processing on the first economic fluctuation impact index set to acquire a key index thataffects the economic fluctuation indexes.

The invention discloses a method for establishing a model displaying influence of ash content of coking coal on coke thermal performance. The method includes the steps that 1) a relation between dry basis volatiles Vdmi of an i-type coking coal in coordinating coal and dry ash-free basis volatiles Vdafi of the i-type coking coal and dry basis volatiles Vdmi thereof is set; 2) the dry basis ash content of coke is set, and wi is the weight ratio of i-type coking coal and the coordinating coal; 3) the P is set to be the impact index of singe type coking coal dry basis ash contents in the coordinating coal to the coke thermal performance, the P satisfies the equation of P=(Adj-Adjz)*K, the K is an impact constant, the Adjz is the regulated coke based dry basis ash content, the P value is positive and stands for the fact that the influence of the coking coal on the coke thermal performance relative to the dry basis ash content of a coke base is negative, and on the contrary, the influence is positive. The method is beneficial to knowing the weight of the ash content in coking coal quality evaluation.

According to an exemplary embodiment of the present disclosure, a method of evaluating a patent using a structural equation includes the steps of: receiving an evaluation for an importance of a plurality of evaluation factors required to build an evaluation model for each of multiple predetermined evaluation indexes, from multiple experts, to evaluate a registered patent; verifying the evaluationsof the plurality of experts for the importance of the individual evaluation factors; setting the verified evaluation factors as final evaluation factors; determining impact indexes of the set evaluation factors required to build an evaluation model for each evaluation index, using structural equation model analysis; generating an evaluation model for each evaluation index using the set evaluationfactor, the set impact index, and a structural equation; obtaining patent information; and generating an evaluation result using the generated evaluation model and the obtained patent information forthe patent to be evaluated.

The invention discloses a test device for determining the contact-impact deformation index of a metal material. The test device comprises a hard metal block A, a hard metal block B, a soft metal block C, a thrust meter, a laser distance measuring sensor, a pushing device and a base; the pushing device is installed on the base, the thrust meter is installed on the pushing device, the pushing device can push the thrust meter to vertically move, and an ejecting needle is installed at the lower end of the thrust meter; the hard metal block A and the hard metal block B are made of a same metal material, the hard metal block A is fixed to the base, the hard metal block B is located under the ejecting needle of the thrust meter, the soft metal block C is clamped between the hard metal block A and the hard metal block B, the hard metal block A protrudes out relative to the hard metal block B, the laser distance measuring sensor is installed on the thrust meter, and a distance measuring head of the laser distance measuring sensor is aligned to the protruding part of the hard metal block A. The test device is simple in structure and easy to operate, the tested impact index is associated with the variety of the specific contact-impact materials, and the obtain impact index is more precise and better accords with practical application.

The present invention provides a learning environment quality assessment system and method, the method comprising: collecting environment information comprising measurements indicative of a pluralityof parameters associated with learning efficiency in an environment, wherein the various parameters comprise illumination, noise, temperature, relative air humidity (RH), fine particulate matters (PM2.5), formaldehyde, carbon dioxide (CO2) and total volatile organic compounds (TVOC); evaluating the environment information through a learning environment quality evaluation model, and determining thegrade of the environment suitable for learning, the learning environment quality evaluation model comprising an influence index model, an influence weight coefficient model and a weighting index of each of the plurality of parameters, and the learning environment quality evaluation model comprising an influence weight coefficient model and a weighting index of each of the plurality of parameters,wherein the influence index model is established based on the Weber-Fechner expansion law; and displaying the measurements and the levels of the plurality of parameters on a graphical user interface.

The invention provides a working environment quality evaluation method and system based on a working efficiency suitable environment index. The method comprises the following steps: collecting environment information which comprises the measurement values of a plurality of parameters related to the working efficiency in an indication environment, wherein the plurality of parameters comprise illuminance, noise, temperature, relative air humidity (RH), fine particulate matters (PM2.5), formaldehyde and total volatile organic compounds (TVOC); evaluating the environment information through a working environment quality evaluation model, and determining the grade suitable for the environment to work, wherein the working environment quality evaluation model comprises an influence index model, an influence weight coefficient model and a weighting index of each parameter in the plurality of parameters, or determining the grade suitable for the environment to work; according to the influence index model and the influence weight coefficient model of each parameter, obtaining the most unfavorable factor in the various parameters; and displaying, on the graphical user interface, the measurements and levels of the plurality of parameters, or at least one of the most disadvantageous factors.

The invention provides an uncertainty analysis method based on the environmental impact assessment of Monte Carlo beer equipment, which comprises the following steps: 1) collecting beer equipment resources and energy consumption list in the life cycle process; 2) determining the environmental impact index in the life cycle process of the beer equipment; 3) calculating that total environmental impact load of the beer equipment; 4) performing environmental impact assessment of beer equipment; 5) carrying out uncertainty analysis on the environmental impact index of the beer equipment determinedin the step 4; 6) determining an input variable; 7) determining a variation range / probability distribution of the input variable; 8) performing Monte Carlo random sampling on the determined probability distribution of the input variables; 9) analyzing the output results in R language. The analysis method of the invention can more accurately reflect the distribution of the median value of the inputprobability distribution, increase the accuracy of the environmental impact, provide more reliable and comprehensive decision support for the environmental protection department, and has certain positive significance for the environmental treatment and protection.

The invention discloses an alarming method and system based on risk evaluation. The method includes the steps of: obtaining a risk variable; computing the status transition probability of the risk variable; computing the fault impact index of the risk variable; computing the time impact index of the risk variable; computing the risk index of the risk variable according to the status transition probability, the fault impact index and the time impact index; judging whether the risk index exceeds a risk alarming threshold, wherein the risk alarming threshold is the maximum risk value which the industrial system is capable of bearing; and if yes, sending an alarming signal. The method and system provided by the invention realizes real-time assessment and monitoring of a process risk status and is capable of effectively avoiding the situation that an operator can not handle process faults effectively and timely which is caused by alarm overflow, through establishing the risk variable and considering the three aspects of status transition probability, fault impact index and time impact index of the risk variable.

The invention relates to the technical field of artificial intelligence, in particular to an artificial intelligence-based door and window mute detection method. The method first obtains the impact index of the sound insulation material to be tested, and the impact index includes filling rate, density and porosity. Match the batch performance index network according to the category of the sound insulation material to be detected; input the impact index into the batch performance index network to obtain the predicted sound insulation performance index. Obtain the predicted sound insulation performance index exceeding the preset threshold, adjust each impact index, and obtain the adjustment trend of each impact index according to each adjusted impact index and the corresponding sound insulation performance index. The invention utilizes network training to batch-process sound-insulating materials with similar performance, thereby achieving the purpose of eliminating the inaccuracy of sampling detection.

For determining an impact index which indicates the image or damage caused by an earthquake to a portfolio, an equation is stored for calculating a local earthquake intensity for a geographical location. The portfolio includes geographical locations and individual weighting factors assigned to the geographical locations. Furthermore, for the geographical locations stored are one or more impact ratio tables including impact ratios for different earthquake intensity levels. The impact index is calculated for the geographical locations by determining in each case the impact ratio for the local intensity at the respective geographical location, and adding up the impact ratios weighted in each case by the weighting factor assigned to the respective geographical location. An impact index that reflects the geographical distribution of the portfolio can be determined, without the need for a network of seismological measurement stations associated with the geographical locations.

The invention relates to smelting and hot rolling processes of steel in the field of ferrous metallurgy and particularly relates to a hot rolling process for producing low-temperature impact work railway bridge steel. The low-temperature impact work railway bridge steel comprises the following components in percentage by mass: 0.15%-0.17% of C, 0.15%-0.30% of Si, 1.35%-1.45% of Mn, P is less than or equal to 0.020%, S is less than or equal to 0.005%, 0.020%-0.055% of Alt, 0.015%-0.035% of Nb. CEV is less than or equal to 0.43% and the balance of Fe, wherein precious metal Ni is not added. The hot rolling process comprises the steps of in the converter, carrying out LF and VD in turn, or carrying out RH, continuous casting and hot rolling in turn so as to obtain the low-temperature impact work railway bridge steel having low-temperature impact work of more than 120J at -40 DEG C, wherein the impact work actual product level at -40 DEG C can reach above 200J. By virtue of use of the hot rolling process, the strength, plasticity and low-temperature impact index of steel of a controlled rolling process meet the requirements, the production time of the procedure is short, the production efficiency is high, the machine yield of a rolling machine is decreased, and the cost is lowered.

The invention discloses a microquake multi-parameter early warning method of a rock burst in a high-stress concentration area. Microquake signals are recorded by use of a microquake monitoring system, and a microseismicity S value, a microseismic time information entropy Qt value, a microquake accumulation impact index E value and a microseismic activity abnormal index |Z| value are calculated and analyzed; after obtained data is analyzed, evolution graphs of the four indexes are respectively drafted; according to the drafted evolution graphs, whether the phenomena occurs in the same time period is analyzed that the microseismicity S value is firstly decreased within seven days and then is rapidly increased at a rate greater than a decreasing rate, the microseismic time information entropy Qt value is continuously decreased within four days, the microquake accumulation impact index E value is greater than a critical value Em and the microseismic activity abnormal index |Z| is greater than three, if the two to four from four indexes occur in the same time period, it is determined that a rock burst is about to take place. According to the invention, an early warning of the impact burst is given in an integrated mode by use of multiple parameter indexes, and thus the early warning accuracy can be effectively improved.

The invention discloses a promotion strategy determination method and device, computer equipment and a medium. The determination method comprises the steps of determining a to-be-promoted product; foreach attribute keyword of the to-be-popularized product, searching evaluation information related to the attribute keyword in a database; for each attribute keyword of the to-be-popularized product,determining an influence index of the attribute keyword according to the evaluation information related to the attribute keyword; and determining a promotion strategy of the to-be-promoted product according to the difference of the influence indexes of the different attribute keywords of the to-be-promoted product. According to the method and the apparatus, a relatively large amount of evaluationinformation is obtained from the database, so that the influence indexes determined according to the evaluation information can more comprehensively influence the attribute keywords, and thus the promotion strength of the promotion strategy determined according to the influence indexes corresponding to the different attribute keywords is higher.