18 results about "Statistical database" patented technology

The invention discloses a distributed photovoltaic short-term prediction method based on meteorological data, and relates to the technical field of power generation power prediction, and the method comprises the following steps: carrying out the type division of a photovoltaic power generation monitoring region of a marine ranch according to the temperature zone and the position of a subordinate monitoring region, and building a photovoltaic power generation statistical database, performing statistics on actual data of historical power generation power of different types of monitoring areas, calculating photovoltaic power generation seasonal compensation coefficients of different types of monitoring areas in combination with the types of the monitoring areas, and performing regional seasonal compensation on a photovoltaic power generation power calculation model to obtain a specific correction prediction model; and based on external real-time natural disaster influence data, generating a distributed photovoltaic equipment shutdown model to obtain loss power, and calibrating the specific correction power generation power to obtain a photovoltaic power generation power calibration value. According to the invention, through combination of quarter calibration and typhoon abnormity correction, the accuracy of photovoltaic power generation power prediction is improved.

The invention discloses a foreign exchange transaction open statistical method. The method comprises the following steps: receiving at least one group of transaction data in real time; according to the transaction time of the transaction data received in real time, determining the time of the open cross section into which the transaction data received in real time needs to be inserted; inserting all transaction data received in real time into the open cross section; performing Hash operation on the transaction data received in real time to obtain a corresponding Hash value, and sending the obtained Hash value to a verification center; according to a statistical dimension, all transaction data behind the open cross section in the statistical database are utilized to construct Merkel tree branch chains, root node information of each Merkel tree branch chain is obtained, and the root node information of each Merkel tree branch chain comprises a root node hash value and corresponding statistical dimension information; and sending the root node information of each Merkel tree branch chain to the verification center. The invention further provides electronic equipment and a computer readable medium.

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.

The invention belongs to the technical field of crude oil pipeline operation management, and discloses a reliability analysis method and system for a pump unit of a crude oil pipeline, and the method comprises the steps: periodically obtaining the operation state of the pump unit, and determining the occurrence of a shutdown event or updating the shutdown event according to the operation state of the pump unit; when it is determined that the shutdown event occurs, whether the shutdown event is a normal shutdown event or an abnormal shutdown event is judged, and if it is determined that the shutdown event is the abnormal shutdown event, an abnormal shutdown reason is obtained; and evaluating the reliability of the pump unit according to the abnormal shutdown event with the time label in the shutdown event database within the set time, the operation stopping time of the pump unit and the occurrence frequency of the normal shutdown event and the occurrence frequency of the abnormal shutdown event in the shutdown frequency statistical database. The intelligent statistical function of the operation state of the pump unit can be achieved, normal shutdown and abnormal shutdown are counted and displayed in the unit time period, the reliability of the pump unit is intelligently analyzed, and the maintenance efficiency of the pump unit is efficiently improved.

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 present disclosure provides an intelligent management system and method for power grid operation events. The system includes an intelligent reminder service registration module, a power grid operation event database, a power grid operation information push module, a voice broadcast judgment module, a dispatching service handling module, and an event statistics query module. First, the intelligent reminder service registration module receives and standardizes the information of the event to be reminded, and stores it in the power grid operation event database. Then, the information push module is used to obtain the target event to be reminded, the voice broadcast judgment module is used to judge whether to perform voice broadcast, and the dispatching service handling module is used to update the status of the target event to be reminded and start the handling process. Finally, the event statistics query module can be used to query and statistically analyze the event data in the database. The present disclosure can achieve unified monitoring and intelligent management of power grid operation events, assist dispatching personnel to respond to and handle key operation events in a timely manner, thereby improving the power grid operation efficiency and ensuring the stable operation of the power grid.

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 computer-implemented method for efficiently capturing statistics on long running queries includes obtaining a query and obtaining a linked list including a plurality of records, each record in the plurality of records including respective query execution statistics. The method includes executing the query and, during execution of the query, obtaining new query execution statistics associated with the executing query. The method includes creating a new record in the linked list, the new record including the new query execution statistics. The method includes determining that a query execution duration of the query satisfies a query execution threshold. Further, the method includes identifying each record in the linked list that corresponds to the query. The method includes storing, for each respective identified record in the linked list that corresponds to the query, the respective query execution statistics of the respective identified record in a statistics database.

The invention is suitable for the technical field of data acquisition, and particularly relates to a meter data acquisition method and system based on image transmission, and the method comprises the steps: constructing a meter statistical database; acquiring and transmitting meter image data, preprocessing the meter image data, and identifying meter types and marks; performing data extraction on the mark, extracting color information and position information, and constructing a unique code of a meter based on the color information and the position information; and extracting meter reading from the meter image data according to the meter type, querying the meter statistical database according to the unique code of the meter, and storing the meter reading. According to the method, the mark is arranged on the non-intelligent meter, calibration of the non-intelligent meter is completed through the mark, then the unique identity of the meter can be determined through the mark, reading of the meter is recognized in a subsequent image recognition mode, data collection and storage are automatically completed, the automation degree is greatly improved, and the construction cost is extremely low.

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.

The present invention discloses a method for calculating foreign exchange trading exposure statistics, comprising: receiving at least one set of trading data in real time; determining the time of an exposure section into which the real-time received trading data is to be inserted based on the trading time of the real-time received trading data; inserting all the real-time received trading data after the exposure section; performing a hash operation on the real-time received trading data to obtain a corresponding hash value, and sending the obtained hash value to a verification center; constructing Merkle tree branches based on statistical dimensions using all the trading data after the exposure section in the statistical database to obtain root node information of each Merkle tree branch, wherein the root node information of the Merkle tree branch includes the root node hash value and corresponding statistical dimension information; and sending the root node information of each Merkle tree branch to the verification center. The present invention also provides an electronic device and a computer-readable medium.

The present invention relates to the field of drilling technology, and particularly to a directional buckling warning method and system based on drill string force analysis. Determine the critical friction value according to a pre-constructed friction resistance statistical database; calculate the theoretical friction resistance of drilling according to the friction coefficient and the compensation deviation value; when the theoretical friction resistance is less than the critical friction resistance, normal construction is carried out; when the theoretical friction resistance is not less than the critical friction resistance, optimize the profile. If the theoretical friction resistance is less than the critical friction resistance after optimization, normal construction is carried out. If the theoretical friction resistance is still not less than the critical friction resistance after optimization, a warning is given. This method warns in advance of possible buckling phenomena, greatly improving the drilling speed during the drilling process and ensuring the wellbore quality.

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.