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 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.

According to one embodiment of the invention, a method for integrated decision support is disclosed. The method includes receiving decision inputs. The method also includes converting the received decision inputs to graph representations and mathematical representations. The method further includes decomposing the converted decision inputs to sub-problems. The method further includes detecting strongly-connected components associated with the sub-problems. The strongly-connected components represent the sub-problems that are coupled. The method further includes solving the sub-problems.

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 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 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, 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 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 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.