10 results about "Statistical database" patented technology

The invention relates to the technical field of maternal and fetal medicine, in particular to a regional maternal and fetal medicine congenital structure anomaly risk assessment system based on big data. A regional feature quantification module; a risk assessment model module; an interpretability analysis module; and a streaming update module. According to the scheme, deep integration and unified representation of individual information and regional macroscopic attributes of pregnant and lying-in women are realized by constructing a multi-source heterogeneous data fusion and regional feature quantification mechanism. The system adopts a multi-protocol interface to access a hospital information system, an environment monitoring platform and a health statistics database, completes standardized cleaning and integrated processing of cross-domain data, and converts multi-dimensional indexes such as regional environment, medical resources, social economy and the like into low-dimensional dense feature vectors through a macroscopic data aggregation and ridge regression coding technology. The feature expression ability and the regional adaptability of the model are significantly enhanced, and effective data are provided for evaluating the risk of the innate structure anomaly of pregnant and lying-in women under different geographical backgrounds.

The invention relates to the technical field of medical services, in particular to a statistical database-based disease cause formation intelligent query analysis system, which comprises a case processing module, a case analysis module and a disease cause query module. The case processing module is used for collecting historical case information and extracting a plurality of classification topics according to the historical case information, each classification topic comprises but is not limited to disease causes and influence factors, a plurality of analysis nodes are divided according to the acquired classification topics and the corresponding disease causes and influence factors, and the analysis nodes are used for analyzing the disease causes and influence factors; determining a corresponding relation of the historical case information among the analysis nodes, and constructing the historical case information into an analysis network according to pathogenesis and influence factors; the case analysis module is used for analyzing the historical case information according to the obtained analysis network, obtaining behavior information corresponding to the patient, setting behavior nodes corresponding to the behavior information, and setting a plurality of behavior tags according to different corresponding behavior nodes of patient behaviors; and the diagnosis efficiency and accuracy are improved.

This invention discloses an SSR molecular marker primer set for identifying Amomum villosum varieties, along with its identification method and applications. The SSR molecular marker primer set provided by this invention contains 27 primer pairs and possesses advantages such as high polymorphism, stable results, good reproducibility, and simple operation. Using this primer set for amplification and detection can be used to identify different Amomum villosum varieties, construct a DNA fingerprint information database of Amomum villosum germplasm, and compile a statistical database of genetic diversity information. This invention also provides a method for identifying Amomum villosum varieties based on SSR molecular markers. By amplifying Amomum villosum samples using the SSR molecular marker primer set and performing statistical analysis based on the number of differential loci, different Amomum villosum varieties can be quickly and accurately distinguished and identified, clarifying the genetic background of Amomum villosum germplasm, guiding scientific breeding, and providing a more effective method for identifying Amomum villosum varieties. This method is of great significance for Amomum villosum breeding.

This invention discloses an AR and RFID-based mold repair knowledge base auxiliary system, relating to the field of big data analysis. It includes: an AR interaction module for information display and operational interaction; a fault analysis module that combines historical RFID data with on-site symptoms, calling upon cases and statistical information of similar molds in the repair knowledge base to generate a probabilistic fault diagnosis report; the system employs WiFi / 5G transmission technology to achieve bidirectional data synchronization between the glasses and the cloud-based knowledge base, updating mold repair records and statistical databases in real time; and a 3D modeling module that performs lightweight rendering of faulty parts and overlays them onto the real mold, providing visual repair guidance. The advantages of this invention are: the integration of RFID and augmented reality technologies enables accurate mold identification, intelligent fault analysis, visual repair guidance, and iterative knowledge updates, significantly improving the intelligence, efficiency, and standardization of industrial mold repair, and lowering the repair threshold.

The application discloses an internet constellation resource sharing architecture and a design method thereof, and belongs to the field of satellite communication. The sharing architecture comprises at least one primary constellation satellite system and one secondary constellation satellite system; the secondary constellation satellite system comprises a large-scale constellation satellite and a plurality of distributed ground stations, and the satellite adopts a hop beam working mode. The application comprises the following steps: acquiring resource use conditions of the primary constellation satellite system, constructing a resource utilization statistical database of the primary constellation satellite system, planning satellite services of the secondary constellation satellite system, switching and selecting a star of a user terminal of the secondary constellation satellite system, and scheduling user resources of the secondary constellation satellite system in real time. According to the resource sharing architecture design, the secondary constellation satellite system can realize frequency resource sharing with the primary constellation satellite communication system by cognizing the multi-dimensional sparsity of resource use of the primary constellation and combining a beam scheduling strategy, so that the communication capacity of the secondary constellation satellite communication system is improved and the communication interruption probability is reduced.

The application discloses a kind of fuel cell vehicle fault monitoring method, system, server and medium.It includes the following steps: obtaining fault attribute information;According to the fault code in fault attribute information, call fault database, obtain the fault level corresponding to fault code;Fault database at least includes: fault code, and the fault index corresponding to fault code;Fault index includes: fault level and fault probability;When the fault level corresponding to fault code is greater than or equal to the first threshold value, obtain the fault probability corresponding to fault code;When the fault probability corresponding to fault code is greater than or equal to the second threshold value, obtain the fault influence factor;Fault code, the fault occurrence time corresponding to fault code and fault influence factor are added to fault information statistical database.Make that fault information statistical database has vehicle actual fault data, so as to be more accurately guided fault analysis result when subsequent in troubleshooting vehicle fault.

A method, system and apparatus for sensing data and updating statistical data. The method, system and apparatus can include one or more sensors physically located at a live sporting event that collect sensed data; a live database that receives sensor data continuously during activity in the live sporting event; a base module that continuously polls the live database, stores sensed data from any completed action in the live event in a sensed data database, and transmits the sensed data to a historical action database; a situational database that houses situational data about sensed data; and a processor that associates the situational data is with the sensed data to determine dynamic statistical data.

The invention discloses a sound barrier service state evaluation method and a computer program, and the method comprises the following steps: S1, building a barrier service state statistical database which comprises an operation and maintenance database in which a railway influences the service state of a sound barrier, a resident response database in which residents along the line respond to noise, and a risk database; s2, constructing a criterion layer and an index layer of the evaluation hierarchy model; s3, constructing a feature parameter list according to the risk database, and establishing a correction coefficient of a sound barrier service state evaluation hierarchical model; and S4, establishing an index service state scoring table, and outputting an evaluation grade and a disposal suggestion according to an output result of the barrier service state evaluation hierarchy model. Through the closed loop logic of hierarchical modeling-weight distribution-accurate calculation-risk correction-scoring and grading, the core position of the structure safety index is guaranteed, the weight is dynamically adjusted according to the resident demand and the risk, two scenes of a new line and a long-term operation line are adapted at the same time, and the safety of the structure safety index is improved. The method can be directly used for normalized evaluation and operation and maintenance decision-making of the service state of the railway sound barrier.

A method and system utilize unexpected combinations of cognitive exercises to provide routines performed simultaneously with aerobic exercise to address cognitive impairments. Cognitive exercises comprise specific steps in order to interact with a specific cognitive domain. All stimuli may be aural. Specific combinations of cognitive exercises are created to engage selected brain circuits and are correlated to specific cognitive impairments. The method may remediate selected cognitive impairments and strengthen cognitive abilities. The user responds to instructions for each exercise and performs each exercise in a specific order for a specific duration of time and through a specific number of sets. A processor performs a program comprising the routines and evaluates performance of a user. A program may be customized for an individual user. An individual user's data is processed to evaluate progress. Large libraries of data for multiple users may be processed to provide statistical databases.

The invention discloses a sewage treatment plant equipment intelligent cooperative control system based on the Internet of Things and Al, and belongs to the technical field of sewage treatment plant equipment cooperative control, the sewage treatment plant equipment intelligent cooperative control system comprises a sewage summary statistics module, a sewage analysis and intelligent pairing module and a cooperative processing module, the sewage summary statistics module carries out statistics on to-be-treated sewage data of a current sewage treatment plant, and the cooperative processing module carries out cooperative processing on the to-be-treated sewage data; the sewage processing module is used for performing type division on current to-be-processed sewage based on a sewage source, acquiring sewage component contents of different sewage processing stages, establishing a sewage statistical database and recording related data, and the sewage analysis and intelligent pairing module is used for collecting processing technologies of different types of sewage of a current sewage processing plant. And obtaining target treatment indexes of different types of sewage in different treatment stages. According to the intelligent cooperative control system for the sewage treatment plant equipment based on the Internet of Things and the Al, target treatment parameter analysis and pairing are carried out on sewage at different stages of sewage treatment, so that the smoothness of actual sewage treatment of a sewage treatment plant is improved.