44results about How to "Solve processing inefficiencies" patented technology

An image data processing method, comprising: acquiring at least two collected images, the collection focusing point of each acquired collected image being different; acquiring a focusing acquisition parameter, and according to the focusing acquisition parameter, fusing the collected images so as to obtain a fused image; and conducting joint encoding on the fused image and outputting same, wherein when the registration mapping cutting and fusion are conducted on the collected images according to the focusing acquisition parameter, by analysing motion information about the collected images, a mask image is corrected, and according to the corrected mask image, images are selected for image fusion, the motion information comprising a communicated moving object area which is composed of motion tracks of object motion occuring between the collected images, and the corrected mask image comprising a serial number of the collected image selected at each pixel point in the communicated moving object area after the serial numbers are marked on the collected images. <By means of the method, images are processed in a high-efficiency and high-quality manner.

The invention provides a method and device for processing different business data of a bank by using a process template. The method comprises the steps of obtaining an active node related to business processing according to business range information; obtaining a working time sequence of the active node according to business processing process information; and building the process template according to the active node and the working time sequence. The requirements of new businesses can be met only by simple parameter modification and configuration, the workload of a developer is reduced and the data processing efficiency is improved.

The invention discloses a business query method, a business query device and a business query system of CPE (customer premises equipment), an ACS (auto-configuration server) and the CPE, which are used for solving the problem that the processing efficiency of the ACS and the CPE is low due to the fact that the query process is complex and tedious, mass gibberish is interacted, and plenty of processing resources and network width are occupied in the existing technology for querying the business of the CPE. The business query method comprises the steps of packaging a query condition designated by a user into a request for acquiring a data model value and sending the request to the CPE designated by the user by the ACS; analyzing the received request for acquiring the data model value to obtain the query condition packaged in the request for acquiring the data model value by the CPE, and querying according to the query condition to obtain a query result conforming to the query condition; packaging the query result into a response aiming at the request for acquiring the data model value and sending the response to the ACS; analyzing the response to obtain a query result packaged in the response by the ACS.

The invention discloses a short-term power load rapid prediction method based on a spark framework. According to the method, two models are trained; a BIRCH parallelization algorithm is used to cluster historical load data and weather data to obtain a model for anomaly detection;, historical load data and weather data are trained through a light GBM algorithm based on the spark technology, a loadprediction model is obtained, and then the two models are sent to a Spark Streaming cluster to be used for clustering and predicting real-time data streams; in clustering and prediction of real-time data streams, a kafka cluster is used to receive power load data streams sent from various terminals; the data flow is transmitted to a Spark Steaming cluster to be processed; real-time feature extraction and normalization processing is completed on a Spark Steaming cluster, real-time clustering is performed by using an anomaly detection model to find out whether abnormal data exists or not, and then a load value of a next time period is predicted by using a load prediction model by using non-abnormal load data.

The invention provides a sewage treatment product, namely a sewage treatment bacterial product using an oyster shell as a carrier. The sewage treatment bacterial product provided by the invention is prepared by inoculating bacterial solution of sewage treatment bacteria on oyster shell for culture; wherein the sewage treatment bacteria are Bacillus qd-wb-n5 strain deposited on July 2, 2018 at theChinese Typical Culture Collection Center of Wuhan University, Wuhan, China, deposit number CCTCC M 2018432. The invention uses the screened Bacillus qd-wb-n5 strain, the biofilm made of oyster shellcan effectively treat sewage and sludge formed by sewage under low temperature, so as to effectively solve the problem of low efficiency of outdoor sewage treatment in northern winter.

The invention discloses a water pollution monitoring and treatment service mechanism based on the Internet of Things. The water pollution monitoring and treatment service mechanism comprises a machinebody, wherein a filtering cavity is formed in one end of the machine body; a grid is arranged in the filtering cavity; a flocculation cavity is formed in the machine body and located at one side of the filtering cavity; a sand setting area is arranged at the bottom of the flocculation cavity; a fixed seat is fixedly connected to the top of the machine body and is positioned above the flocculationcavity; a storage box is arranged at the top of the fixed seat; a sedimentation cavity is formed at one side of the flocculation cavity; a filter screen is arranged at the communicating position of the flocculation cavity and the sedimentation cavity; an anaerobic cavity is formed in one side of the sedimentation cavity; and two partition plates are fixedly connected to the inner wall of the anaerobic cavity. According to the water pollution monitoring and treatment service mechanism, a water quality detector is matched with a sewage treatment machine, so water pollution monitoring and treatment work can be effectively carried out; and effective and stable sewage treatment work can be realized through structural arrangement in the sewage treatment machine, and stable operation of a sewagetreatment system is guaranteed.

The invention discloses a firewall system of a user mode pipeline architecture. A control plane is responsible for management and control functions of the system and redirects a message sent from a management port to a kernel protocol stack; a data plane is responsible for main service functions, works in a user mode and can bypass a complex Linux kernel protocol stack to directly obtain messagesfrom a network card. The data plane decomposes firewall function software into a plurality of function modules, each function module is bound to an independent CPU core, one CPU core serves as a maincore and is responsible for receiving messages, data packet receiving and sending are achieved in a polling mode, and an assembly line framework is formed. The firewall system belongs to a software architecture which bypasses a system kernel and is suitable for a firewall function, a network card driver is usually realized in the kernel, the firewall system is realized again in a user mode, the system directly acquires a message from the network card, and the problem of low processing efficiency caused by a traditional firewall Linux kernel is effectively solved.

The invention relates to the big data technology, and discloses a data information intelligent processing method comprising the following steps: obtaining an original picture set, using a preset character identification system to identify pictures in the original picture set, thus obtaining a necessary field set, and forming a preliminary evaluation result in a preset database according to the necessary field set; sending the preliminary evaluation result to a specified terminal, receiving supplementary data fed back by the specified terminal based on the preliminary evaluation result, sendingthe supplementary data to a preset processing system, and obtaining a final evaluation result according to a processing result of the processing system; and transmitting the final evaluation result to the specified terminal. In addition, the invention also relates to a blockchain technology, and the final evaluation result can be stored in a node of the blockchain. The invention further providesa data information intelligent processing device, electronic equipment and a computer readable storage medium. According to the invention, the problem of low user information processing efficiency canbe solved.

The invention discloses an evanescent mode foundry sand treatment device, which comprises a platform, wherein a left baffle plate is arranged at one end of the platform, and a right baffle plate is arranged at the other end of the platform; a transmission belt is arranged on the platform; a material feeding box is arranged above the transmission belt; the inner wall of the material feeding box isof a hollow structure; an electric heater is arranged inside the inner wall of the material feeding box; a material outlet is formed in the bottom of the material feeding box; the end face of the platform is provided with a connecting frame; the bottom of the connecting frame in a transverse direction is fixedly connected with a connecting plate; an electromagnet is arranged below the connecting plate; a rotating shaft is arranged on the outer side of the platform; the bottom of the rotating shaft is connected with a rotary motor through a shaft coupler; the end face of the rotating shaft is fixedly connected with a material collection box; a left electric heater is arranged on the left baffle plate; a right electric heater is arranged on the right baffle plate. The evanescent mode foundrysand treatment device can fully automatically treat foundry sand and effectively solves the problems that the existing foundry sand treatment work is low in treatment efficiency and poor in treatmenteffect.

The invention discloses a work order processing method. The method comprises the steps of obtaining order data for a target object, the order data for the target object being online order data for thetarget object provided by an order system of an online service or offline order data for the target object provided by an order system of an offline entity object; generating a service work order forthe target object according to the order data; obtaining position information of a target object recorded in the service work order; determining a target area matched with the position information ofthe target object, and obtaining an implementation facility for providing service for the target object in the target area; and obtaining feature data of the implementation facility for providing theservice for the target object, and assigning the service work order to the target facility of the target area according to the feature data. By adopting the method, a reasonable service work order distribution scheme is provided, and the problem of low service work order processing efficiency is solved.

The aim of the invention is to provide a plasma antenna and a plasma process apparatus including the same. According to a technical solution of the invention, the plasma antenna according to an embodiment of the invention is used for the plasma antenna of the plasma process apparatus. The plasma antenna has a shape which is described as follows: the plasma antenna receives a power which is provided from a power supply part; the plasma antenna is branched to the periphery of dielectric at a branch part; the branched antennae are centralized to the middle part and are grounded at a grounding part.

The invention provides a literature processing method, belongs to the field of literature processing, and solves the problem of low literature data processing efficiency in the prior art. The method comprises the following steps: obtaining a feature template for expressing a posture feature of a target literature; performing text recognition on the text file describing the target literature according to the feature template, and determining a feature value of a business feature of the target literature; and outputting preset format literature information of the target literature according to the determined characteristic values of the service characteristics and the characteristic template. According to the literature processing method disclosed by the embodiment of the invention, literature data extraction is carried out based on the feature template, semantic recognition of a large amount of data is not needed, the operand is effectively reduced, and the literature data extraction efficiency is improved.

The embodiment of the invention discloses a data processing method, and the method comprises the steps: storing first sub-data, of which the data attribute accords with a preset attribute, in first data into a first database, and storing second sub-data in the first data into a second database, wherein the first data comprises data associated with the audit item, and the second sub-data is data except the first sub-data in the first data; receiving a calling instruction for calling the data, wherein the calling instruction carries a data identifier; in response to the calling instruction, determining whether the first database includes second data corresponding to the data identifier or not; and if the first database comprises the second data, calling the second data from the first database. The embodiment of the invention further discloses data processing equipment and a computer storage medium.

The invention provides an electronic report generation method and device, equipment, a medium and a program product. The electronic report generation method comprises the steps that multiple input data and multiple corresponding output data are acquired; background knowledge of meta-interpretation learning is obtained, and a learning framework is obtained; according to the learning framework, a generation rule between the multiple input data and the multiple output data is obtained; and a generated program is obtained according to the generation rule. In the embodiment provided by the invention, the learning framework is constructed through meta-interpretation learning, the input data is used as the input of the learning framework, the output data is used as the output result for learning, the generation rule of the electronic report is obtained, and according to the generation rule, a section of program is used for expression, so that subsequent reuse is facilitated, and the method can be used for various reports, the method does not need to use tens of thousands of lines of data for training, and construction of the electronic report generation method can be completed only by taking about dozens of data through meta-interpretation learning.

The invention discloses a reconciliation data import method, system and equipment, and a computer readable storage medium. All reconciliation file names of a target reconciliation task are determined at a time, and then an FTP server is accessed at a time to obtain a to-be-reconciliated full-amount reconciliation file, so the system does not need to acquire the total reconciliation files from the FTP server just like a circular traversal mode used in the existing mode, and the acquisition efficiency of the total reconciliation files is improved; the reconciliation function is executed in a unified mode after the total reconciliation files are acquired at a time, and even if the number of the reconciliation files is large, the FTP server does not need to keep a session for a long time in the circular traversal process, so that resources occupied by the FTP server are reduced; and the account checking result is subjected to data fragmentation after the account checking result is obtained, and the data blocks obtained after division are processed in a multi-thread mode, so that the account checking result can be quickly imported even in the face of an account checking task with a large data volume.

The invention is applicable to the field of sewage treatment, and provides a biochemical precipitation device for wastewater based on industrial sewage recycling. The biochemical precipitation device comprises an inlet, a treatment tank, a driving device, a treating device, an absorption device, and a transmission device. When the biochemical precipitation device is used, sewage is put into the treatment tank through the inlet at first, and at the moment, the driving device is started, and the driving device is composed of a positive and negative rotation motor; the driving device drives a rotating rod to rotate, the rotating rod drives a negative-pressure pump to rotate and generates negative pressure in a vacuum cavity, and at the moment, sewage at the top of a biochemical reactor can pass through the biochemical reactor in an accelerated manner under the negative pressure action of the vacuum cavity, so accelerated treatment of the sewage by the treatment device is realized; and when the sewage treated in the first step flows into a treatment tank II, the rotating shaft rotates under the transmission of the transmission device, and when the rotating shaft rotates, a biochemical component reciprocates on the surface of a screw rod and reciprocates in the sewage, so the accelerated purification treatment of the sewage is realized.