70results about How to "Improve Analytical Processing Efficiency" patented technology

Provided is technology which can improve the efficiency of analysis as a whole when a plurality of analyses are performed on a sample. An analysis device (A) is provided with: a first analysis unit (A1) for performing a first analysis on a sample; a second analysis unit (A2) for performing a second analysis on a sample; a short-time analysis unit (A3) for performing a short-time analysis on a sample, in which an analysis result can be derived in a shorter period of time than in the first analysis; and a determination unit (63) for determining whether or not to perform the second analysis, in accordance with the result of the short-time analysis and before the result of the first analysis is derived.

The invention belongs to the technical field of computer security, and discloses a security event processing system and method based on computer network information. The system comprises a network monitoring module, a data acquisition module, a data mining module, a data processing module, a central control module, an information security evaluation module, an event analysis module, an event processing module, a data storage module, an alarm module and a display module. According to the system, most invalid and repeated information in the network security information can be filtered, the information processing efficiency and the information availability are improved, and the security event analysis and processing efficiency is effectively improved; meanwhile, real-time high-speed analysisand merging processing of the security events and presetting of merging logic of the merging events can be achieved, unified management of the security events is facilitated, and the security of computer network information is greatly improved; in addition, the security events are accurately analyzed and processed, and efficient execution of a network security function is ensured.

The invention relates to a data query method and device, a storage medium and electronic equipment. The invention aims to reduce the use cost of a user in a data query process and improve data query efficiency. The method comprises the steps of acquiring a structured query language statement determined based on a unified structured query language standard; determining query features corresponding to the structured query language statement, wherein the query features are used for representing query semantics of the structured query language statement; according to the query characteristics of the structured query language statement, determining a target calculation engine in a plurality of calculation engines, and converting the structured query language statement into a target data query statement which can be executed by the target calculation engine; and executing the target data query statement through the target calculation engine.

The invention discloses a catering distribution analysis processing system and a catering distribution analysis processing method based on big data, which belong to the technical field of big data analysis. The catering distribution analysis processing system comprises an ordering platform used for issuing catering information, a user side used for ordering, a rider side used for distributing takeout, and a dialing reminding module used for reminding a user by dialing. The catering distribution analysis processing system and the catering distribution analysis processing method are scientific and reasonable, safe and convenient use, historical ordering time and shops of customers are analyzed by utilizing big data, when the rider goes to the store to take and deliver the meal, the destination is consistent with the historical ordering time of the customer, messages are pushed to the users to remind users to order meals, on one hand, the rider carrying out catering distribution can carryout distribution together with a plurality of orders; on one hand, the distribution of the riders is more reasonable, the distribution efficiency of the riders is effectively improved; moreover, thetake-out time of the user is greatly shortened, the time of the user from ordering to receiving the takeout is greatly shortened, and the whole catering distribution is more reasonable.

This invention relates to a realizing method for analyzing session service quality, which can get the information of service quality of sessions by analyzing session control messages on MP and analyzes sessions needing the QoS analysis only based on the set strategy information and feeds back the relative QoS analysis result to the SP or other specific servers, besides, this invention can set to carry out the QoS analysis only to part of the control messages that needing the QoS analysis, which can save the MP process resources in the process of QoS analysis and increase the efficiency.

The invention discloses a model management tool based on data mining and analysis. The model management tool comprises a model management module, an algorithm management module, a task management module, a data source management module and a service source management module. The core function of the system is model management, algorithm management and task management, other modules are auxiliary modules for the three core modules, and the effects of autonomous modeling, real-time model training, real-time display of output of model calculation and the like are achieved by using model selectionof the workflow technology, the calculation engine technology, the data storage technology, the task scheduling technology and the like. The model management tool has the beneficial effects that themodel creation efficiency during data mining and analysis is improved, the data mining and analysis processing efficiency is improved, the requirements of operators are reduced, and the production cost is reduced.

The embodiment of the invention provides a data processing method and a data processing system, which are used for solving the technical problem that in the prior art, when massive log data are storedunder large concurrency, the consumption of storage resources is relatively high. The method comprises the following steps: obtaining a plurality of business log files; Wherein each business log filecomprises a plurality of pieces of business log data, and each piece of business log data comprises lexical items used for representing business operation and lexical item feature information; Analyzing the plurality of business log files, and establishing a mapping file, the mapping file being used for indicating a mapping relationship between the lexical item and the lexical item feature information of each piece of business log data in the plurality of pieces of business log data included in each business log file; Performing data recombination on each piece of business log data based on the mapping file, and obtaining and storing a to-be-stored file data set; Wherein the number of the lexical items of each piece of file data in the to-be-stored file data set is smaller than or equal to the number of the lexical items of each piece of business log data.

The invention discloses a high-voltage circuit breaker cam crack fault detection device and method, and belongs to the field of power system fault detection. The detection device comprises a magneticbase, a vibration acceleration sensor, a signal acquisition module and a signal processing module. According to the invention, a vibration signal near the cam in the closing process of a circuit breaker is collected, a wavelet packet frequency band energy decomposition algorithm is used for extracting a characteristic value of the effective vibration signal, and the characteristic value is compared with a preset threshold value, so that whether the cam structure of the high-voltage circuit breaker operating mechanism has a crack defect or not is judged. Compared with the prior art, the methodprovided by the invention is high in accuracy, high in operation speed, capable of realizing online monitoring of the cam crack fault, free of influence on the system structure of the high-voltage circuit breaker, free of motion interference risk, safe and reliable.

The invention relates to an application method of an artificial intelligence method in ecological geological environment bearing capacity evaluation. The method comprises the following steps: 1) acquiring resource supply side information; 2) removing impurities from the resource supply side information; 3) analyzing environmental accommodation information; 4) inputting social influence data; 5) analyzing social influence data; 6) environmental bearer analysis. According to the method, data acquisition in ecological geological environment bearing capacity evaluation is converted into cooperative operation of the unmanned aerial vehicle, the crawler-type unmanned vehicle and the satellite from original complex manual operation; an unmanned aerial vehicle, a crawler-type unmanned vehicle anda satellite jointly form a positioning type information acquisition, analysis, comparison and input system. The geological environment bearing capacity data can be collected, analyzed and screened very conveniently, so that complex manual operation is avoided, data loss caused by manual errors is eradicated, intelligent analysis and processing are achieved, and the analysis and processing efficiency of the geological environment bearing capacity is greatly improved.

The invention discloses an exhibit attention analysis system and analysis method based on emotion recognition, and the method comprises the steps: carrying out the preliminary recognition and delineation of a person when the person successively enters a preset range of a current exhibit, and carrying out the continuous tracking and recognition of the person; and judgment is continued in the tracking recognition process, and only when the face of the current person faces the target exhibit and the eye sight range of the person falls onto the target exhibit, the current person is judged to be aneffective target person. And finally, the human face emotion recognition unit performs real human face emotion recognition processing on the human face of the effective target person. In the processing process, the screening range is gradually reduced, the analysis and processing efficiency is remarkably improved, and compared with a traditional attention conclusion method obtained through analysis according to the number of people in a specific region of the booth, the judgment and recognition precision is higher, and the analyzed attention data of the exhibit is more real and reliable.

The invention provides a chemiluminescence immunity analyzer, belonging to the technical field of medical treatment equipment. The chemiluminescence immunity analyzer comprises an incubator module, a sample loading module, a magnetic separation module, a reading module, an electrical control module and at least two experimental units, wherein the two experimental units comprise reagent strip bins and reagent strips arranged in the reagent strip bins; and the experimental units are respectively in functional connection with the incubator module, the sample loading module, the magnetic separation module and the reading module. By arranging at least two experimental units, a single processing mode or a batch processing mode can be flexibly selected according to an analysis task, so that the analysis processing efficiency of the reagent strips is improved.