38results about How to "Effective decision support" patented technology

The invention provides a simulating and predicting method of urban storm flood, which comprises the following steps: A. modifying and enabling a storm radial flow management model to accord with a data model of a geographic information system; B. embedding a counting kernel of the storm radial flow management model into the geographic information system by the geographic information system; C. dividing a sub drainage area of an investigating area; D. utilizing the geographic information system to obtain parameters required by each model; E. carrying out analog computation in the geographic information system by the storm radial flow management model; and F. realizing three-dimensional visualization according to a result of the analog computation. The simulating and predicting method of urban storm flood can effectively improve the predicting efficiency of the urban storm flood, realize informatization and numeralization of the urban flood prediction, and provide rapid, accurate and intuitive effective prediction for the location, the depth, the time and the duration of the seeper of the urban storm flood so as to provide decision supports for the disaster prevention and mitigation.

The invention discloses a data management system based on river ecological monitoring. The data management system comprises an ecological monitoring and evaluating module, a data management platform and a forecasting and early warning module, wherein the ecological monitoring and evaluating module is used for evaluating monitored river monitoring data according to multiple evaluation indicators to obtain an ecological monitoring and evaluating result of a river, and the ecological monitoring and evaluating result comprises the health condition, existing problems and development trend of a river ecological system; the data management platform can be used for managing the monitored river monitoring data and taking the ecological monitoring and evaluating result as shared data to realize information sharing and communication; and the forecasting and early warning module is used for forecasting and early warning the river based on the river monitoring data and the ecological monitoring and evaluating result. The data management system can be used for accurately and comprehensively evaluating the repair or maintenance effect of the river ecological system, thus comprehensively judging the ecological regime of the river from multiple aspects, and forecasting and early warning different emergencies.

The invention discloses a method for the interactive control on key devices in a process industry on the basis of virtual reality. The method comprises the following steps of: 1) establishing a virtual reality system, a dynamic simulation system and a database system; 2) setting the instructions for operating the key devices and controlling the dynamic parameters in the virtual reality system, writing the instructions into the database system, and monitoring the instructions in the database system by the dynamic simulation system at the same time; 3) when an operation instruction is monitored, reading the initial simulation parameters of the key devices from the database system, carrying out the dynamic simulation and writing the simulation results into the database system; and 4) reading the simulation results from the database system, presenting the changing process of the production data of the key devices in the virtual reality system and carrying out the real-time control. By presenting and controlling the changing process of the production and operation on the basis of the visualization technology, the invention can provide effective information support for users to monitor the production and operation on a real-time basis, help simulate and predict the process control layer in the process industry and improve the benefit of the operation in enterprises.

The invention discloses a method for constructing a fine-grained emotion classification model based on an interactive attention mechanism, which comprises the following steps of: independently modeling semantics for an evaluation aspect and a context respectively, and simultaneously carrying out interactive learning on the semantics of the two parts by combining the attention mechanism, so as to obtain more appropriate semantic representation for fine-grained emotion classification. According to the model provided by the invention, both semantic features of a given evaluation aspect and semantic features of a given context are considered, and the two parts of features are fused, so that semantic information which is most important for sentiment analysis can be mined, and the accuracy of fine-grained sentiment classification is improved; the user emotion contained in the online comment data can be accurately understood, merchants are helped to understand the requirements of consumers, then effective decision support is provided for the consumers, and the merchants are helped to improve existing products and services.

The present invention belongs to the technical field of detection and specifically relates to a group body temperature detection system and method, and aim to improve efficiency and safety of group body temperature detection, detect occurrence and prevalence of infectious diseases with abnormal body temperatures in time, provide effective auxiliary decisions for medical institutions, government departments, enterprises, etc., and provide strong supports for controlling spread of the infectious diseases. The group body temperature detection system comprises: infrared body temperature detectiondevices, a cloud server and a group body temperature monitoring platform. The infrared body temperature detection device is used to collect infrared thermal images, visible light images, positions, speeds and other information of group pedestrians, body temperatures of the group pedestrians are calculated and projected on a display module, prompt signals are sent to the pedestrians with abnormal body temperatures, the abnormal body temperatures, images, positions and other information are transmitted to the cloud server to be matched with profile photos, ID numbers and other information of thegroup pedestrians, and health files of the pedestrians are established, updated and stored.

The invention relates to the technical field of emergency management, in particular to an intelligent assistant decision and maintenance system and a method for operating the same. The intelligent assistant decision and maintenance system comprises an application layer, a technical support layer, a data layer and a hardware layer; the application layer describes function application of the system and has functions of data entry, data maintenance and decision support; the technical support layer mainly has functions of knowledge structuring, characteristic words and expressions extraction, knowledge retrieval, knowledge display and knowledge association; the data layer mainly comprises a database for emergency response plans, a case database, an event knowledge database, a laws and regulations database, a knowledge association database and the like; the hardware layer comprises necessary servers, display terminals, networks and the like. The intelligent assistant decision and maintenance system and the method have the advantages that intelligent decision data can be maintained by the intelligent assistant decision and maintenance system and the method, the method can be applied to the intelligent assistant decision and maintenance system, and the like.

The invention provides a method for quickly obtaining a three-dimensional isosurface of a radar reflectivity data, which comprises following steps: normalizing a radar 3D scan data; constructing a hexahedral mesh of radar data points; and calculating the three-dimensional isosurface of the radar reflectivity data. According to the method for quickly obtaining a three-dimensional isosurface of a radar reflectivity data, the data of radar products can be well applied to 3D scenes by quickly obtaining three-dimensional isosurface of radar reflectivity data, which can provide effective decision-making for the reduction and prevention of meteorological disasters, and has good social and economic benefits; meanwhile, the response time of relevant departments to disasters can be shortened throughthe ability to quickly acquire the shape of rainfall clouds.

The invention relates to a network-level bridge structure performance evaluation and prediction method, which comprises the following steps: S1, collecting a detection report of each bridge over the years, extracting technical condition scores, bridge ages, structure types, traffic volumes and maintenance behavior information of each year, and constructing a relational database; s2, based on the data in the relational database, training and checking the established structural performance degradation model; s3, predicting the overall structure of the bridge in the regional road network and theperformance change trend of the local component by using the trained structural performance degradation model; and S4, giving an optimized overhaul scheme and a maintenance strategy of bridges in theregional road network. Compared with the prior art, the method has the advantages that the data mining technology is integrated, mass detection data accumulated under the condition of long-term bridgeinspection work is effectively and fully utilized, the neural network model is established, the extracted data is converted into valuable knowledge in the bridge management and maintenance field, andthe network-level bridge structure performance evaluation prediction and decision support are realized.

The invention relates to a simulation optimization algorithm of transportation of a hydropower project, in-depth research of a mechanical of dynamically establishing a service desk at an intersection is performed, the blockage situation of the transportation during the construction process of the actual hydropower project is better simulated, and a simulation model is stronger in universality and expansibility. The simulation model is embedded into the enlightening type optimization algorithm based on an evolution strategy, an optimal mechanical configuration scheme of the transportation of the hydropower project is obtained, and a construction decision basis is provided for a decision maker.

The embodiment of the invention provides a wind power project benefit evaluation method and device. Firstly, evaluation index items used for evaluating the investment risk of a wind power project aredetermined, optimization processing is conducted on the evaluation index items, constraint processing is conducted on the evaluation index items and included parameters, and a first comprehensive evaluation model used for evaluating the investment risk of the wind power project is established. Meanwhile, an upper-layer objective function used for evaluating the energy benefit and the economic benefit of the wind power project and a lower-layer objective function used for evaluating the environmental benefit of the wind power project are established. And finally, the constraint processing on parameters in the upper-layer objective function and the lower-layer objective function is carried out, and a second comprehensive evaluation model is established for evaluating the comprehensive benefit of the wind power project. Thus, from multiple perspectives of investment risk, energy benefit, economic benefit and environmental benefit, reasonable and scientific investment risk analysis and comprehensive benefit analysis are provided, and effective decision support is provided for wind power project construction.

The invention belongs to the field of machine tool remanufacturing, and particularly relates to a waste component remanufacturing process decision-making method based on secondary case-based reasoning. The method mainly comprises the steps of (1) analyzing a failure mode of a waste component, and describing the failure mode in an OWL (Web Ontology Language); (2) introducing a Pearson correlation coefficient, and establishing a similarity calculation method for similar remanufacturing process cases; and (3) performing primary remanufacturing process case-based reasoning and secondary remanufacturing process parameter reasoning so as to acquire candidate remanufacturing processes and parameters thereof, and deciding an optimal remanufacturing process. According to the invention, an optimal process scheme meeting remanufacturing requirements can be acquired, scientific decision-making for the remanufacturing process is realized, and effective decision-making support is provided for formulation of a remanufacturing process scheme.

The invention provides an analog prediction method for urban rainstorm water disaster. The method comprises the following steps of: A, altering a rainstorm flow management model, and enabling the rainstorm flow management model to be accordant with a data model of a geographic information system; B, embedding a computing kernel of the rainstorm flow management model into the geographic information system; C, dividing sub-basins of a research region; D, acquiring parameters required by each model through the geographic information system; E, carrying out an analog computation to the rainstorm flow management model in the geographic information system; and F, achieving three-dimensional visualization according to a result of the analog computation. According to the analog prediction method for the urban rainstorm water disaster, the prediction efficiency of the urban rainstorm water disaster can be effectively provided; informatization and digitization of prediction of the urban water disaster are realized; quick, accurate, intuitional and effective forecasting to position, depth, time, duration of ponded water in the urban rainstorm water disaster can be provided; and a decision support for disaster prevention and reduction is provided.

The invention provides a method for quickly acquiring three-dimensional vector data of a vertical cutting plane of radar reflectivity data. The method comprises the following steps of: normalizing radar three-dimensional scan data; constructing a hexahedron mesh of radar data points; constructing a vertical cutting plane; and calculating vertical cutting plane data of the radar reflectivity data.The invention normalizes scanning data of each layer of the radar, directly processes the data points detected by the radar to construct the hexahedral mesh, and then quickly acquires the vertical cutting plane of the radar reflectivity data through a cutting process for the hexahedron. The whole process reduces the amount of calculation data and avoids redundant data, greatly improves acquisitionefficiency of the vertical cutting plane of the radar reflectivity data, and can be conveniently applied in the real-time three-dimensional weather monitoring service.

The invention relates to an energy storage system charging and discharging optimization method in an electric power spot market, and the method comprises the following steps: 1, building an objectivefunction of an energy storage system charging and discharging strategy optimization model with the minimum peak-valley difference and fluctuation degree of a power consumer net load in the electric power spot market; 2, constructing constraint conditions of an energy storage system charging and discharging strategy optimization model; and 3, solving the energy storage system charging and discharging strategy optimization model based on a particle swarm algorithm, and outputting the maximum value and the optimal solution of the target function of the energy storage system charging and discharging strategy optimization model to obtain the optimal charging and discharging strategy of the energy storage system. According to the invention, the potential of peak load shifting and demand responseof power consumers can be effectively stimulated.

The invention discloses a shield tunneling total thrust determining method and system. The method comprises the steps that parameters influencing the shield tunneling total thrust are determined; determining dimensionless quantity and dimensionless total thrust in the shield tunneling process according to the parameters; obtaining a coefficient identification result of the dimensionless quantity by adopting an LASSO algorithm according to the dimensionless quantity; multiplying each dimensionless quantity coefficient identification result by the corresponding dimensionless quantity to obtain atunneling total thrust calculation model; and determining the shield tunneling total thrust according to the tunneling total thrust calculation model. By means of the method or system, rapid and accurate calculation of the total thrust in the shield tunneling process can be achieved.

The invention discloses a network domain cooperative interference position detection method and system. The method includes: capturing parallel signals and channel measurement values ​​of multiple narrowband channels, obtaining received signal energy and demodulation signal interference of multiple narrowband channels in the working frequency band The noise ratio measurement value; independently estimate the received signal energy of each narrowband channel, and perform continuous mean filtering to obtain a stable received signal energy level estimate, which is used as the estimated value of the interference detection amount of the current channel; the demodulated SINR measurement The value and the estimated value of the interference detection amount are compared with the preset detection threshold, the effective receiving channel is screened, and whether there is an interference signal in each channel; the fusion strategy is used to perform weight filtering on the detection confidence of each node in the channel to determine the interference source Location. Using the law of large numbers and fusion detection, it is possible to obtain globally consistent interference detection results and provide consistent and effective decision support for network domain anti-interference decisions.

The invention relates to the technical field of electromagnetic environment prediction, and discloses an aircraft external radio frequency electromagnetic environment prediction method and a prediction system. The system comprises an electromagnetic environmental parameter acquisition device, a data center, a simulating calculation center and a visual output terminal device. The method is that collected electromagnetic environmental parameter information of radiation sources, atmospheric environment, ground environment and sea environment is transmitted to the data center which is connected through networks by means of the electromagnetic environmental parameter acquisition device, and is stored in a data base which corresponds to the data center. The data center is connected with the simulating calculation center through a data line, and the simulating calculation center enables comprehensively predicted data model information of aircraft external radio frequency electromagnetic environment to be transmitted to the visual output terminal device which is connected through a video bus, so that the electromagnetic environment can be displayed comprehensively. According to the aircraft external radio frequency electromagnetic environment prediction method and the prediction system, an improved signal description word method is adopted to conduct modeling of aircraft external electromagnetic signal environment, and therefore the signal processing operational amount is reduced and the prediction efficiency is enhanced.

The invention discloses a network domain cooperative interference position detection method and system, and the method comprises the steps: capturing parallel signals and channel measurement values of a plurality of narrowband channels, and obtaining the received signal energy and demodulation signal to interference plus noise ratio measurement values of the plurality of narrowband channels in a working frequency band; independently estimating the received signal energy of each narrowband channel, and performing continuous mean filtering to obtain stable received signal energy level estimation as an interference detection quantity estimation value of the current channel; comparing the demodulation signal to interference plus noise ratio measurement value and the interference detection quantity estimation value with a preset detection threshold value, screening effective receiving channels, and judging whether interference signals exist in each channel or not; carrying out weight filtering on the detection confidence of each node in the channel by adopting a fusion strategy, and determining the position of an interference source. By adopting a large number law and fusion detection, a globally consistent interference detection result can be obtained, and consistent and effective decision-making support is provided for network domain anti-interference decision-making.

The method for rapidly obtaining three-dimensional vector data of a vertical section plane of radar reflectivity data provided by the present invention comprises the following steps: normalization of radar three-dimensional scanning data; construction of a hexahedral grid of radar data points; construction of a vertical section plane; radar Calculation of the vertical section data of the reflectivity data; the present invention directly processes the data points detected by the radar by normalizing the scanning data of each layer of the radar, constructs a hexahedral grid, and then directly processes the section through the hexahedron, Quickly obtain vertical slices of radar reflectivity data. The whole process reduces the amount of calculation data and avoids redundant data, greatly improves the acquisition efficiency of the vertical section plane of radar reflectivity data, and can be easily applied to real-time 3D weather monitoring business.

The invention discloses a shield tunneling total thrust determining method and system. The method comprises the steps that parameters influencing the shield tunneling total thrust are determined; determining dimensionless quantity and dimensionless total thrust in the shield tunneling process according to the parameters; obtaining a coefficient identification result of the dimensionless quantity by adopting an LASSO algorithm according to the dimensionless quantity; multiplying each dimensionless quantity coefficient identification result by the corresponding dimensionless quantity to obtain atunneling total thrust calculation model; and determining the shield tunneling total thrust according to the tunneling total thrust calculation model. By means of the method or system, rapid and accurate calculation of the total thrust in the shield tunneling process can be achieved.

The invention discloses a method for quickly acquiring radar basic reflectivity vector graphic data. The method comprises the steps that data of a scanning layer in a preset elevation angle is acquired from to-be-processed radar reflectivity data, and space position coordinates of i library data on scanning lines of all azimuth angles in the scanning layer are calculated to obtain a radar datapoint structure corresponding to all library data on the various scanning lines; and in the radar data point structure, two points at the adjacent i library and i+1 library are sequentially acquired from each of two adjacent scanning lines, a total of four points are acquired, and the four points are sequentially connected to construct a trapezoid patch by taking the four points as vertices, and then all trapezoid patches are constructed. The method is beneficial to global sharing of radar product data, provides effective decision support for reduction and prevention of meteorologicaldisasters and has the good social and economical effect; and meanwhile by means of the quick data obtaining capacity of the method, the method has the good technical effect on the capacity of quicklyobtaining the data and can shorten the response time of relevant departments to the disasters.

The invention discloses a TBM cutter head torque determination method and system. The method comprises the following steps of determining the parameters influencing the cutterhead torque; determiningthe dimensionless quantity and the dimensionless cutterhead torque in the TBM tunneling process according to the parameters; obtaining a coefficient identification result of the dimensionless quantityby adopting an elastic network algorithm according to the dimensionless quantity; multiplying each dimensionless quantity coefficient identification result by the corresponding dimensionless quantityto obtain a cutterhead torque calculation model; and determining the TBM cutterhead torque according to the cutterhead torque calculation model. By means of the method or the system, the cutter headtorque in the TBM equipment tunneling process can be rapidly and accurately calculated.

The invention provides a method for obtaining a three-dimensional isosurface of radar reflectivity data, comprising the following steps: normalization of radar three-dimensional scanning data; construction of a hexahedral grid of radar data points; calculation of a three-dimensional isosurface of radar reflectivity data. The present invention quickly acquires the three-dimensional isosurface of radar reflectivity data, so that radar product data can be well applied in three-dimensional scenes, and can better provide effective decision-making support for disaster reduction and prevention of meteorological disasters, and has good social and social Economic effect; at the same time, its ability to quickly obtain the shape of rainfall clouds can shorten the response time of relevant departments to disasters.

The invention discloses a TBM cutter head torque determination method and system. The method comprises the following steps of determining the parameters influencing the cutterhead torque; determiningthe dimensionless quantity and the dimensionless cutterhead torque in the TBM tunneling process according to the parameters; obtaining a coefficient identification result of the dimensionless quantityby adopting an elastic network algorithm according to the dimensionless quantity; multiplying each dimensionless quantity coefficient identification result by the corresponding dimensionless quantityto obtain a cutterhead torque calculation model; and determining the TBM cutterhead torque according to the cutterhead torque calculation model. By means of the method or the system, the cutter headtorque in the TBM equipment tunneling process can be rapidly and accurately calculated.

The invention discloses a method and electronic equipment for acquiring employment post numbers per unit building area of different land types, and the method comprises the steps: 1) determining a research unit, namely a base station aggregation cell, according to the service range of a base station and land construction conditions; (2) the number of employment posts in a base station gathering cell range is obtained according to mobile phone signaling data statistics; 3) according to the land survey data, carrying out statistics on the building area of each type of land in each base station gathering cell; and 4) performing multivariate statistical regression analysis on the base station aggregation cells, and determining the number of employment posts per unit building area of different land types. According to the method, the employment post number of different land types per unit building area is obtained, and the method can be used and dynamically updated according to specific conditions of each city so as to guide city planning population scale and distribution prediction, traffic demand prediction and the like.

The invention relates to the field of an oil-gas pipeline system and discloses a method and a device for layout optimization of repair and rush-repair mechanisms so as to solve the technical problem of excessively complex layout optimization of the repair and rush-repair mechanisms in the prior art. The method comprises the following steps of determining data of a plurality of groups of repair and rush-repair mechanisms, wherein the data of each of the plurality of groups of repair and rush-repair mechanisms comprises number and position information of repair and rush-repair centers, number and position information of repair and rush-repair crews and number and position information of repair crews; according to the data of each group of repair and rush-repair mechanisms and a repair and rush-repair mechanism layout optimization model, determining repair and rush-repair data of each group of repair and rush-repair mechanisms; according to the repair and rush-repair data of each group of repair and rush-repair mechanisms, screening to obtain data of a first group of repair and rush-repair mechanisms from N groups of repair and rush-repair mechanisms; according to the data of the first group of repair and rush-repair mechanisms, regulating layout of the current repair and rush-repair mechanisms. The method and the device achieve the technical effect of conveniently and simply implementing layout optimization on the repair and rush-repair mechanisms.

The invention discloses a method for analyzing the risk situation of an early epidemic situation of an infectious disease based on an input-diffusion function, comprising the following steps: step 1, identifying the scale of the input risk source of an infectious disease; step 2, simulating the spread function of the risk source; step 3, the epidemic situation Risk situation short-term forecast. The present invention integrates population flow big data trend judgment and disease spread law, first explores the differences in incidence rates in different regions in the spatial dimension to describe the disease distribution pattern, and analyzes the scale and trend of population flow between regions based on the population flow big data, and then, based on Population flow estimates the scale of potential imported risk cases, counts the functional relationship between the number of potential imported cases and the cumulative number of local confirmed cases, reveals the development characteristics and internal laws of the epidemic, monitors the development of the epidemic concisely, quickly and accurately, and predicts its future epidemic risk development trend , which can provide more accurate, longer-lasting and more effective decision-making support for the prevention and control of infectious diseases.

The embodiment of the present application provides a medical data decision support method, which establishes a medical decision data warehouse by analyzing and reconstructing the acquired medical data according to the theme of medical decision needs; and analyzes the data of the medical decision data warehouse according to drug information and medical treatment information The OLAP model is established to realize the transaction processing data analysis and mining in the current hospital information management system, and provide effective decision-making support for hospital staff at all levels. The embodiment of the present application also provides a medical data decision support system.

The invention discloses a method for acquiring the information of remaining tickets of a high-speed train and net get-on / get-off passenger flow. The method comprises steps of: setting an initial date when the remaining tickets are to acquired, inputting the names of all stops of an acquired line and querying all monitoring conditions of the remaining ticket information to be acquired, and saving the monitoring conditions in a list form; according to acquiring time point information in the monitoring conditions, automatically acquiring all remaining ticket information and after all remaining ticket information in a day is completely acquired, saving all acquired results in the day in a local computer disk in a list form, automatically acquiring all monitoring conditions in the next day in an appointed time segment everyday; reading the remaining ticket information acquired everyday and computing the net get-on passenger flow and the net get-off passenger flow of each stop; counting and drawing a net get-on passenger flow change and a net get-off passenger flow change of each stop of the high-speed train. The method automatically acquires the remaining tickets of the high-speed train, and accordingly computes the net get-on passenger flow and the net get-off passenger flow of each high-speed train stop in the two running directions in a day.