19 results about "Impact measurement" patented technology

The invention relates to the technical field of application system evaluation, and provides an application system fault influence evaluation method and system, and the method comprises the steps: obtaining the customer complaint amount of different platforms for an application system fault, and calculating a reputation influence score in combination with the weights of different platforms; obtaining losses of different types of services when the application system fails, and calculating service influence scores by combining weights of the different types of services; obtaining influence quantities of different types of clients when the application system fails, and calculating user influence scores in combination with weights of the different types of clients; obtaining values of different types of performance indexes when the application system fails, normalizing the threshold sensitive index by using a tangent function, normalizing the progressive deterioration index by using an exponential function, and calculating a performance influence score in combination with weights of the different types of performance indexes; and performing weighted summation to obtain a total score, and determining the fault level of the application system. And the accuracy of fault influence evaluation is improved.

The present application relates to the technical field of biological information data processing, in particular to a kind of arthritis data processing method and system based on ceRNA-network analysis, comprising the following steps: obtaining arthritis sample RNA data and target annotation, extract shared element screening regulation pair, by pathological pathway enrichment and function verification, measure correlation to determine priority, integrate ceRNA network structure to evaluate regulatory influence, parse node role to adjust centrality, generate specific core hub node identification atlas.In the present application, by introducing dynamic transcription consistency pattern recognition and transcription correlation and target co-annotation relationship joint comparison, the accuracy of arthritis data analysis is improved, the evaluation of candidate regulatory pair is strengthened, the result reliability and regulatory confidence level are improved, combined with ceRNA network node regulatory influence evaluation, the identification ability of key node is enhanced, effectively solve the blind spot of traditional method, ensure the accurate identification of arthritis specific core hub node.

The invention provides a carbon market policy impact assessment system based on multi-subject modeling, which relates to the technical field of carbon market prediction and comprises a multi-subject modeling module, a data processing module, a policy scene setting module, a double-layer assessment module, a quantitative index calculation module and a result output module. The multi-subject modeling module is used for constructing an interaction model of a plurality of independent decision subjects in the carbon market; the dynamic interaction model of the independent decision-making main body is constructed through the multi-main-body modeling module, the government, the low-emission enterprises and the high-emission enterprises are all brought into the modeling category, the complex game relation and the policy response mechanism among the main bodies in the carbon market can be effectively revealed, and compared with a traditional macroscopic modeling method, the method has the advantages that the method is simple and convenient to operate. According to the system, the resolution of policy influence factors can be improved, the nonlinear interaction effect of a subject decision is accurately captured, the technical pain point that the policy action process is difficult to restore through traditional evaluation is solved, and core support is provided for deep analysis of policy influence.

The present invention belongs to the field of electric power, and discloses a method, device, equipment and storage medium for evaluating the impact of a virtual power plant, comprising: obtaining electric power data of a virtual power plant in multiple influencing aspects, and inputting the electric power data into a predefined factor value calculation formula corresponding to each influencing factor to calculate the corresponding factor value; analyzing the factor value corresponding to each influencing factor according to the fuzzy matter-element method to obtain an unweighted difference square composite fuzzy matter-element matrix; calculating the objective weight of each influencing factor according to the CRITIC method to obtain a weight matrix; and calculating the impact value of the virtual power plant according to the difference square composite fuzzy matter-element matrix and the weight matrix. Since the fuzzy matter-element method can effectively handle the uncertainty and ambiguity in the evaluation process, the rationality and accuracy of the evaluation results are improved; at the same time, the variability of each factor and the correlation between factors are considered, and the calculation accuracy, objectivity and operation complexity are taken into account.

Systems and methods for sharing updates in two repositories in a content management system. The method includes receiving integration point configuration information for integrating the first repository and the second repository. The method further includes creating a first record in the first repository for a first change and generating a plurality of impact assessments in the first repository for the first change. The method further includes assigning one impact assessment of the plurality of impact assessments to the second repository. The assigned one impact assessment identifies a medical product associated with the first change. The method includes generating a second record. The second record includes a link to the one impact assessment. The method further includes providing the impact assessment of the first repository to the user account of the second group of multiple user accounts associated with the second repository.

According to the semantic rule association system and method based on the accounting knowledge graph, an accounting element three-dimensional semantic modeling system and a rule association degree quantitative evaluation model are introduced, and the problems that accounting elements are isolated and stored, change is complex, and evaluation is difficult in a traditional method are solved; and the universality and high self-evolution of the rule system are realized. The method is suitable for a financial sharing center, a transnational group tax management system, an intelligent auditing platform and other scenes needing to process complex accounting rule association, and is particularly beneficial to prevention of finance and tax compliance risks.

A method, controller and computer program product for operating an industrial air cleaning system (1) arranged within a facility (100). Operating the industrial air cleaning system comprises an impact assessment sequence (a) and a preemptive action sequence (b). The impact assessment sequence (a) comprises detecting observation instances of an industrial activity (X), measuring indoor air quality values in the facility (100), and determining impact data corresponding to the industrial activity (X) based on the first indoor air quality values and data representative of the plurality of observation instances of the industrial activity(X). The preemptive action sequences comprise detecting actionable instances of the industrial activity (X) and / or of an indication of commencement of an industrial activity (X), determining one or more set-point parameters of the air cleaning devices (10, 101-n) based on data representative of the actionable instances of the industrial activity (X), the impact data corresponding to the industrial activity (X) and indoor air quality target values; and controlling the air cleaning devices (10, 101-n) in accordance with the one or more set-point parameters.

The invention provides an on-load solar wing ground unfolding locking impact measurement system and a test method thereof. The on-load solar wing ground unfolding locking impact measurement system comprises a six-dimensional force measurement device, an internal force measurement device, a six-dimensional force acquisition device and a photographing device, the solar wing connecting frame is hinged to the simulated star body, the heavy load is installed on the connecting frame, the solar wing and the heavy load are both hung through the hanging unfolding device, and the six-dimensional force measuring device is installed between the root hinge and the simulated star body. The six-dimensional force acquisition device, the internal force measurement device and the photographing device are respectively used for acquiring power parameters, internal force parameters and motion parameters of unfolding impact of the solar wing. According to the invention, a full-closed-loop ground equivalent expansion impact measurement system with expansion locking, multi-dimensional measurement and data processing and analysis is constructed through construction of various measurement devices, so that the deficiency of an on-orbit expansion locking impact multi-dimensional parameter measurement scheme of a loaded large-inertia mechanism is made up; impact motion parameters, internal force parameters, six-dimensional impact external force parameters and the like can be visually, comprehensively and quantitatively measured.

The accuracy of impact measurement related to advertisements delivered to user terminals will be improved. The advertising apparatus includes: a storage unit that stores first user identification information and purchasing behavior information regarding a user identified by the first user identification information, the first user identification information and purchasing behavior information being related to each other; a unit that sends advertisements related to predetermined products or services to a plurality of user terminals, by determining different second user identification information for each user terminal; a unit that identifies the first user identification information that matches the second user identification information by comparing the first user identification information with the second user identification information;and a unit that calculates reaction information to an advertisement that indicates how many users have purchased a predetermined product or service among users identified by the first matched user identification information, based on purchase history information regarding the predetermined product or service, the purchase history information being included in the purchase behavior information associated with the first matched user identification information.;

A spacecraft unlocking impact measurement simulation test system belongs to the field of spacecraft ground test simulation technology. The present invention addresses the problems of high ground test cost and low efficiency in spacecraft pyrotechnic impact unlocking tests. It includes an on-board test structure, which is fixedly connected to the base using a simulated separation nut, and a wedge-shaped pad is provided on the upper end of the base to simulate the on-board clamping slider assembly; a simulated cabin plate is fixedly connected to the bottom end of the base; a simulated separation mechanism, which is fixedly connected to the upper end of a simulated bolt with a notch in the middle section using a bottom end face of a breakaway adapter frame, and the lower end of the simulated bolt is threadedly connected to the simulated separation nut; a pressure loading module, which uses a hydraulic press to pressurize the breakaway adapter frame to generate an upward thrust, and pulls the simulated bolt to generate a pre-tightening force; an acceleration impact sensor is provided on the base to monitor the impact load generated by the separation of the simulated separation mechanism and the on-board test structure. The present invention is used for spacecraft unlocking impact simulation testing.

The invention discloses a second-hand house price influence evaluation method based on eigenvector spatial filtering multi-scale geographically weighted regression (ESFMGWR). The precision and efficiency of second-hand house price influence evaluation are improved. Firstly, real estate sample data are preprocessed; thirdly, constructing a spatial weight matrix by using a K-nearest neighbor algorithm, and extracting a feature vector with significant spatial autocorrelation through feature vector spatial filtering; the feature vector set is further simplified by adopting methods such as Lasso regression or stepwise regression. And then, the screened feature vectors and the original independent variables are integrated and incorporated into an MGWR model for modeling analysis, the bandwidth of the independent variables is optimized by using a golden section method, and finally, an influence evaluation result of the second-hand house price is obtained. According to the method, the complexity of the model is effectively reduced, the endogenous problem of the model is relieved, and the explanation strength and precision of the model are improved.

The invention provides a public policy social impact assessment and dynamic adjustment method and system, and belongs to the technical field of public policy analysis and intelligent decision, and the method comprises the steps: a multi-source data collection step: collecting multi-source heterogeneous policy data such as government affair service, statistical monitoring, public opinion monitoring, citizen hotline complaint and third-party investigation; a data fusion preprocessing step: executing entity alignment and timestamp normalization; an influence index system construction step: constructing an economic benefit, social fairness, public satisfaction and execution efficiency four-dimensional index system; sentiment analysis: performing fine-grained sentiment recognition and topic clustering by adopting a pre-training language model; a comprehensive evaluation step: using a heterogeneous graph neural network to fuse quantitative indexes and qualitative feedback to output a comprehensive score; and a dynamic adjustment step of identifying an execution deviation and a negative effect to generate an adjustment suggestion and form a closed loop feedback.

To provide a sun shade influence amount evaluation system capable of more correctly evaluating influence which building sun shade exerts on photovoltaic power generation facilities around, a sun shade influence amount evaluation method, and a sun shade calculation system.SOLUTION: A shadow influence amount evaluation system includes: a map data acquisition unit for acquiring map data about an object building being a building that forms sun shade and buildings around the object building; a sunshine related data acquisition unit for acquiring sunshine related data being information about sunshine; a sun shade difference calculation unit 105 for calculating sun shade difference data being information of sun shade of the object building other than sun shade of the buildings existing around the object building on the basis of the map data and the sunshine related data; and a surrounding influence evaluation unit 106 for evaluating a sun shade influence amount exerted on a photovoltaic power generation amount of influenced buildings being the buildings that are shaded by the object building on the basis of the sun shade difference data and the map data.SELECTED DRAWING: Figure 2

The invention provides an influence assessment method and device for emission factors of an electric power system, and can be applied to the technical field of electric power carbon emission. The influence evaluation method for the emission factors of the electric power system comprises the following steps: determining respective current evaluation data of a plurality of regions according to respective current power generation carbon emission and current power transmission quantity of the plurality of regions; constructing a current evaluation matrix based on the plurality of current evaluation data and the current power transmission quantity; based on a power transmission constraint condition between the current scene and a future scene, according to the current evaluation matrix and the current power transmission quantity, predicting to obtain a target power transmission quantity; determining respective target evaluation data of the plurality of areas according to the respective target power generation discharge amount and target power transmission amount of the plurality of areas; and according to the current evaluation data and the target evaluation data, an influence evaluation result of change information on the emission factors of the electric power system of the region is determined, and the change information represents the difference of the future scene relative to the current scene under the power transmission constraint condition.

The invention, which relates to the technical field of heat exchanger control, discloses a dynamically-adjusted gas-fired boiler waveform fin heat exchanger optimization control system comprising an information acquisition module, a function construction module, a risk marking module, a map construction module, an influence evaluation module, an optimal solution module, a real-time adjustment module and a mode determination module. Collecting temperature and flow velocity data, extracting disturbance characteristics, mapping to a three-dimensional lattice to construct a potential energy function, and calculating node potential energy; evaluating a potential energy isomerism marked high-risk area, and calculating a migration rate to generate a migration graph and a trend graph; combining the control variables to construct a sensitivity graph and a target function, and solving an optimal parameter; and the actuator is driven to intervene and maintain the dynamic switching operation mode of the memory stack in real time. Disturbance distribution is quantized through three-dimensional lattice mapping and nonlinear potential energy modeling, a diffusion path is revealed in combination with an asymmetric migration graph, and heat exchange efficiency is improved and energy consumption is reduced based on a sensitivity graph and key parameter adjustment.

The present invention discloses a method for constructing an impact analysis and evaluation model, comprising collecting literature input variables; performing modeling and analysis using Altmetrics, an international influence proxy indicator, and academic citations as output variables; selecting the algorithm with the highest benchmark coefficient as the input algorithm for modeling grid parameter adjustment; using a feature importance evaluation model and comparing the contribution of each variable to the impact of the results; using a partial correlation graph to display the trend of the impact of each variable on the results, and combining the feature importance and partial correlation graph to comprehensively evaluate the impact of the results and output a result. By comparing the factors that have the greatest impact on academic citations with the factors that have the greatest impact on Almetrics, the present invention can effectively analyze the main sources of the international impact of research results and their influence methods, providing a more scientific and traceable analysis tool for the international impact assessment of research results.

The invention discloses an intelligent construction progress real-time monitoring system based on BIM, relates to the technical field of project progress management, solves the technical problems that the construction progress condition cannot be comprehensively and accurately analyzed, and meanwhile, the resource allocation process lacks intelligent analysis, and adopts dynamic threshold adjustment and a scientific anomaly grading standard to realize real-time monitoring of the construction progress. The progress abnormality is divided into three levels of slight, serious and emergency, compared with traditional single threshold value judgment, the progress abnormality condition can be more accurately recognized, a more clear basis is provided for subsequent processing, the progress normality analysis unit analyzes construction progress risk factors and sets weights and threshold values through historical data and a trend analysis method, and the progress normality analysis unit is used for analyzing the construction progress risk factors. The current risk factor occurrence frequency is evaluated in combination with historical data, potential risks are recognized in advance, influence evaluation information is generated, managers can take prevention measures in advance, and the risk occurrence probability and the influence degree are reduced.