97results about How to "Save data storage space" patented technology

The invention provides a column-based storage and research method and equipment based on a hard disk and the internal storage. A data sheet structure on data source is created in the internal storage through creating metainformation of the data sheet corresponding to the data source, and a column-based data block is generated on the current data according to the metainformation and is stored into the hard disk; the internal storage can be used more effectively, the following query data performance in the hard disk reaching the similar performance with the query data in the internal storage is realized, and the strong data analysis ability based on high-speed query efficiency can be further supported in following; moreover, when the column is an index column, the following data query efficiency can be improved by establishing a reverse index for each index column and storing the index column to the document at corresponding position in a solid state disk with the adoption of RadixTree structure.

The invention belongs to the technical field of power transmission and transformation equipment, and particularly relates to a method for diagnosing a direct current partial discharging insulation state of a converter transformer and a measurement system. Through measurement of partial discharging pulse signals of different transmission paths, statistical properties of distributed real-time partial discharging pulse signals and cluster characteristics of segmented amplitude-frequency space are compared to identify an internal insulation state, characteristic information of the direct current partial discharging insulation state of the converter transformer can be effectively and accurately detected, and insulation defect types and a partial discharging development tendency are evaluated comprehensively.

The invention discloses an active distribution network (ADN) voltage real-time fuzzy control method. The method comprises steps: according to the maximum and minimum values of feeder voltage uploaded by each feeder, the maximum voltage and the minimum voltage of the distribution system are put forward, if certain feeder voltage exceeds a threshold, a reactive power fuzzy controller FQC for DG (distributed generation) is started, and reactive power is injected or absorbed through the DG; and if the reactive power fuzzy controller FQC for the DG can not restore the voltage to a normal level and deltaVsys</=deltaVmax-deltaalpha, a transformer on-load tap changer fuzzy controller FOC is started, the transformer on-load tap changer OLTC completes a voltage regulating task, or otherwise, an FPC is started, and the deltaVsys is reduced, wherein the deltaalpha is an adjusting value of the tap changer. The main control unit of the invention has a simple control algorithm, the needed communication data are few, the calculation amount is small, the decision-making time is short, problems of over voltage and low voltage caused due to mutual action between the OLTC and the DG can be lessened, and the consumptive ability towards the DG by the ADN can be improved.

The invention relates to a method for searching network element equipment and establishing topologic connection in a network management system, which includes that any network element equipment discovers adjacent network element equipment by the communication protocol between equipment and stores the positioning information thereof; custom instruction launches searching, and the network management server (11) transmits the protocol packet in the fixed format to the network element equipment related to the custom instruction; the network element equipment queries the information and transmits the responsive protocol packet; the network management server (11) analyzes the responsive protocol packet and establishes the logically-corresponding entity of new network element equipment; new searching branches are established by the new network element equipment until that that the custom instruction finally presents the result at the client end (13) is accomplished. The method disperses the memory information, the information of automatic neighbor discovery of network element equipment and the information of adding memory topologic connection etc. within all network element equipment, realizes the rapid and efficient searching and enhances the reliability of the searching results, saves data processing time and memory space, and has a plurality of modes of entire network and designated network element equipment and a function of searching topologic connection.

The invention relates to the technical field of display, in particular to a display panel brightness compensation control method and a display panel brightness compensation control system. The displaypanel brightness compensation control method comprises the steps of: acquiring brightness data of a display panel, wherein the brightness data of the display panel is obtain through sensing the samegray-scale pure color signal driving pixels of the display panel to emit light; dividing the brightness data of the display panel into a plurality of regional brightness data sets, and dividing the brightness data of the display panel according to a plurality of light-emitting regions of the display panel, wherein the plurality of regional brightness data sets comprise a brightness data set located in a central region of the display panel and a brightness data set located in a non-central region of the display panel; taking the brightness data set of the central region as reference data, and calculating a brightness compensation coefficient of the pixels of the non-central region; and adjusting a compensation voltage of the pixels in the non-central region through using the brightness compensation coefficient, so that the display panel emits light uniformly. According to the display panel brightness compensation control method, the data storage space can be saved, the operation rate isincreased, and the uniformity of the brightness of the display panel is improved.

The invention discloses a vehicle collision prediction method and device, a vehicle and electronic equipment. The method comprises the following steps: acquiring driving data of each vehicle driving on a road; taking one vehicle as a first vehicle, and identifying a second vehicle in a preset range of the first vehicle according to the driving data of the first vehicle; predicting a driving trackof the first vehicle and a driving track of the second vehicle according to the driving data of the first vehicle and the driving data of the second vehicle; and identifying whether the first vehicleand the second vehicle have a collision risk based on the two driving tracks. According to the method, the cloud terminal is used for storing and analyzing the driving data of the vehicles, so that the data storage space of the vehicle side is reduced, the cost is saved, later data maintenance and updating are facilitated; and whether collision risks exist between the vehicles or not can be further effectively recognized, so that the safety performance of the vehicles is improved, and the personal safety of a user is guaranteed.

The invention belongs to the technical field of optical fiber distributed sensing, and relates to a method for realizing high-frequency phase demodulation in a distributed optical fiber sensing system. The method mainly comprises the following steps of: S1, constructing a periodic non-uniform sampling time sequence; S2, generating a periodic non-uniform sampling pulse light sequence, and performing data acquisition on original data; S3, extracting effective data from the original data; S4, carrying out heterodyne phase demodulation on the length of the sensing optical fiber; S5, performing signal reconstruction on a heterodyne phase demodulation result by using an orthogonal matching pursuit algorithm; and S6, performing Fourier transform on the phase signal obtained by reconstruction to obtain the phase and frequency information of the vibration signal. According to the method, limitation of the Nyquist sampling theorem on the detection frequency band range of the distributed sensing system is broken through, the contradiction between long-distance sensing and high-frequency detection is solved under the condition that the hardware complexity does not need to be increased, recovery of the high-frequency phase signal is realized, and the recognition and classification of the vibration signal are facilitated.

The present invention provides a method for analyzing a digital image comprising a plurality of pixels representing a scene. The method comprising steps of obtaining pixel chromaticity information, providing, combinations each having a corresponding surface and a corresponding illuminant, performing a global scene surface-illuminant classification by determining hypothesis scores, accumulating hypothesis scores, thereby obtaining a global illuminant/surface statistic representing an estimate of a distribution of illuminants and/or surfaces in the scene as represented by the digital image. Other methods are also provided. Apparatuses for carrying out the methods are also provided.

The invention discloses a wireless shooting management system with an auxiliary camera. The shooting management system comprises shooting equipment and further comprises external equipment and monitoring equipment. The external equipment is provided with a buckle and comprises the auxiliary camera, a first wireless receiving and sending module used for processing video data output by the auxiliary camera and audio and video data output after the shooting equipment is on, sending the video data and the audio and video data in a wireless mode, and receiving and processing shooting control instructions, and a power supply module used for providing power for the first wireless receiving and sending module and the auxiliary camera. The monitoring equipment comprises a second wireless receiving and sending module used for receiving and processing the audio and video data and processing and sending the shooting control instructions, a monitor used for playing the audio and video data, and an input module used for receiving the shooting control instructions input by a user, wherein the shooting control instructions comprise turning-on instructions and or turning-off instructions. By the adoption of the technical scheme of the wireless shooting management system, more data storage space and more battery battery level can be saved.

The invention discloses a block chain data processing method and device, equipment and a storage medium. The method can be executed by a blockchain node, and comprises the following steps: respondingto a blockchain branch request sent by a proof node in a blockchain network, the blockchain branch request being generated when the proof node detects that a current blockchain satisfies a branch condition; according to a chaining rule, performing child-mother chaining on the current block chain, and storing the chained mother chain in the proving node; and processing the data of each block in themother chain, constructing a provenance block of a sub-block chain according to a processing result, and taking the sub-block chain as a new current block chain. The data storage space of the block chain network can be reduced, so that the data synchronization and data query efficiency of each node is improved.

The invention provides an ES cluster data multiplexing method and system, a computer device and a computer readable storage medium. The ES cluster data multiplexing method comprises the following steps: receiving and selecting to-be-multiplexed target data according to a data selection instruction; Obtaining a storage address of the target data in the distributed file system; Creating a Hive external table, and enabling the Hive external table to point to a storage address of the target data in the distributed file system; Creating a view chart corresponding to the data of the Hive and the EScluster; And receiving a data interaction request of an ES cluster, and synchronizing the interaction data from the distributed file system to the ES cluster by using the Hive external table and the view table. The invention relates to a cloud storage technology, data sharing between an ES cluster and an HDFS is realized by establishing a data transmission channel between the ES cluster and the HDFS, and repeated data storage is avoided.

The invention relates to a radar tracking beam angle measurement method, and belongs to the field of radar design. The objective of the invention is to overcome the problems of large S-curve data capacity and complex angle measurement process of an existing monopulse sum-difference beam amplitude comparison angle measurement method under the conditions of large airspace, any angle and multiple beams at the same time. The method comprises the steps of constructing a universal angle measurement curve (K curve) subjected to spatial domain transformation, the abscissa of the K curve is p, the ordinate of the K curve is the difference sum ratio (volt _ ratio), p = (sin (theta)-sin (theta B))/lambda, and storing K curve data into a radar computer; comparing the difference sum ratio (volt _ ratio) of the target echo actually measured by the radar with the K curve data, and looking up a table to obtain a corresponding p value; and calculating a target angle value according to theta = arcsin (p* lambda + sin (theta B)). The K curve obtained through spatial domain transformation is not affected by factors such as beam pointing and frequency, the data storage space is small, the table look-up process is simple, and single-pulse sum-difference amplitude comparison angle measurement under the conditions of large spatial domain, any angle and multiple beams at the same time can be simply and conveniently achieved.

The invention relates to a link prediction method in a dynamic social network, which comprises the following steps of: mapping nodes in the network at the moment t into a low-dimensional embedded space, and writing the low-dimensional embedded space into a low-dimensional representation vector of each node; then respectively calculating local features and second-order similarity of nodes in the network at the moment t and a loss function corresponding to keeping network evolution smoothness, and finally obtaining an optimal low-dimensional representation vector of the nodes according to a minimized total loss function; obtaining low-dimensional representation vectors of all nodes in the test set by using an optimal low-dimensional representation vector method, and sequentially inputting the low-dimensional representation vector of each node pair into a logistic regression classifier for training to obtain a trained logistic regression classifier; and inputting the low-dimensional representation vector of each node pair in the network at the moment T into the trained logistic regression classifier to obtain network information at the moment T + 1. According to the link prediction method, the data storage space in the network is reduced, and the link prediction accuracy is higher.

The invention discloses an OFDR distributed vibration sensing detection method based on compressed sensing. The OFDR distributed vibration sensing detection method comprises the following steps: S1, determining an observation matrix phi corresponding to a required vibration signal; S2, determining an observation vector y corresponding to the observation matrix phi; S3, obtaining a sparse matrix psi of the signal by using the discrete Fourier transform matrix; S4, performing signal reconstruction and frequency recovery on the acquired data by using an orthogonal matching pursuit algorithm; S5,transforming the signal from a time domain to a frequency domain through Fourier transform to obtain a signal frequency. The method has the advantages that a large amount of data storage space is saved, the improvement of the operation rate is ensured, and the storage space and the operation rate of signals are greatly reduced.

Disclosed are a coal mine roadway strain data acquisition method and device based on a three-level wake-up mechanism. The three-level wake-up mechanism is characterized in that timing data are acquired by an adaptive RTC (real time clock) timer wake-up method, RTC timing acquisition time is adaptively adjusted according to acquired roadway strain data fluctuation situations, so that the working frequency of a CPU (central processing unit) can be reduced when coal mine roadway strain and mutant data are acquired in an undistorted manner, overall power consumption is reduced, storage efficiency is improved, real-time data can be acquired by a patroller under a coal mine by an acquisition key wake-up method, the acquired data are wirelessly transmitted by a worker through an infrared signal wake-up method, historical strain data of a roadway are more conveniently checked by the aid of a handheld terminal, power consumption of a data acquisition device is reduced by the three-level wake-up mechanism, and a patrol inspection mechanism under the coal mine is met.

The invention relates to a motor group fault diagnosis method based on a binary deep neural network. In the method, a motor fault diagnosis model based on the binary deep neural network is trained through motor fault historical data, and the motor fault diagnosis model is deployed on an edge computing device for hoping to reduce real-time data I/O transmission load and large-scale deployment costof the edge computing device, and meanwhile, the method has higher diagnosis accuracy. With the method provided by the invention, under the premise of guaranteeing having the diagnosis accuracy comparable to that of a full precision deep neural network model, mass data transmission needed for a fault real-time diagnosis process is avoided, meanwhile, the binary deep neural network is used for substituting the full precision deep neural network at an edge end, large amounts of mathematical operations are changed into bit operations, lots of data storage space and forward transmission time are saved, cost for deploying the edge devices in large scale is reduced indirectly, and an effect of high precision, fast diagnosis and low deployment cost is realized.

The invention relates to a data formatting and file storage method based on real-time acquired data characteristics. The data formatting and file storage method comprises the following steps: (1) establishing a unified data storage rule based on acquired data characteristics; (2) establishing an acquired data formatting mechanism based on a time slicing mode; (3) establishing an acquired data read-write management mechanism based on file blocking and multilevel index; (4) establishing an acquired data read-write event mechanism; (5) unifying a data access interface of the acquired data. Compared with the prior art, the data formatting and file storage method has the function of unifying access modes of various acquired data, data access performance can be improved by reducing the number of stored files, reducing the storage space consumption, reducing system IO consumption, and the like, and meanwhile the time length of historical data storage can be increased, so that the overall usability of the system can be improved.

The invention provides a proxy method, an assistant proxy method and equipment. According to the proxy method, the assistant proxy method and the equipment, a subchecksum1 is added after data bytes to form a subchecksum2, a subchecksum3 is obtained through calculation based on the subchecksum2, since a data partial checksum carried in data participates in data check calculation as a part of the data to obtain a final checksum, the subchecksum3 directly includes the subchecksum1, subsequent second network equipment can extract the subchecksum1 from a message quickly after receiving the message, and then the second network equipment judges whether the received message is correct or not quickly based on the subchecksum1, or generates a new subchecksum3 based on the subchecksum2 and adds the new subchecksum3 into the message. Therefore, a large number of amount and CPU consumption for calculating the checksums of the data bytes can be saved.

A method for adjusting the position of a virtual button includes: presenting a button adjustment interface of a virtual scene including a target virtual button; controlling, in response to a movement operation for the target virtual button, the target virtual button to move in the button adjustment interface, to adjust a presentation position of the target virtual button in the virtual scene, wherein at least two presentation forms of the target virtual button are in the virtual scene; and presenting prompt information in response to the target virtual button being moved to a boundary area in the button adjustment interface, the prompt information being used for prompting that the target virtual button is displayed abnormally in the virtual scene when the target virtual button is in a target presentation form of the at least two presentation forms.

The invention discloses a data de-weighting method and device and relates to the field of computer storage. The data de-weighting method and device are used for removing repeated data and reducing a data storage space. The method comprises the steps that a data stream is segmented at equal intervals to obtain to-be-stored segment data, and the to-be-stored segment data is partitioned at equal intervals to obtain to-be-stored block data; according to the to-be-stored block data, block Hash of the to-be-stored block data and segment Hash of the to-be-stored segment data are obtained; the block data identical to the data stream is searched for in existing data according to the segment Hash and the block Hash of the data stream and a segment list; a block pointer of the same block data in thedata stream is set to be a block pointer of the same block data in the existing data; the to-be-stored block data in the block data which is not the same in the data stream is stored, and a block pointer of the to-be-stored block data where the same block data is not found through search is set to be a storage position corresponding to the to-be-stored block data; and the segment Hash, the block Hash and the block pointers of the data stream are stored into the segment list. The embodiment is applied to data storage.

The invention claims an early warning device for unmanned aerial vehicle and overhead alternating-current power line collision avoidance. The early warning device includes an unmanned aerial vehicle on-board dynamic electric field measuring device, an unmanned aerial vehicle flight control module, a power source module, a power line presence judgment module, a power line approaching judgment module, and a dangerous zone judging and early warning module; the unmanned aerial vehicle-mounted dynamic electric field measuring device is internally provided with an electric field measuring sensor, asignal processing unit, a microprocessor and a signal transmission unit; the unmanned aerial vehicle flight control module is used for providing flight information for the electric field measuring device and receiving early warning information; the power source module is used for supplying power to a measurement and early warning system; the power line presence judgment module is used for judgingwhether a power line is present near an unmanned aerial vehicle; the power line approaching judgment module is used for judging whether the unmanned aerial vehicle is gradually approaching the power line; and the dangerous zone judging and warning module is used for performing graded evaluation on the risk of a distance between the unmanned aerial vehicle and the power line. According to the earlywarning device of the invention, on-board dynamic electric field measurement and real-time judgment are adopted, so that the unmanned aerial vehicle can intelligently, fast and accurately identify that the unmanned aerial vehicle is approaching an overhead alternating-current power line and issue early warning information.