75results about How to "Reduce delivery pressure" patented technology

The invention relates to the technical field of data processing, in particular to a real estate surveying and mapping data processing method and system based on intelligent data. The method comprises the following steps: acquiring multi-source real estate surveying and mapping data; performing space-time synchronization on the multi-source real estate surveying and mapping data to generate multi-source real estate surveying and mapping space alignment data; real estate space feature extraction is carried out on the multi-source real estate surveying and mapping space alignment data to obtain real estate space feature data; performing cross-domain feature fusion on the multi-source real estate surveying and mapping data based on the real estate spatial feature data to generate real estate surveying and mapping fusion spatial feature data; public surveying and mapping point confirmation is carried out on the multi-source real estate surveying and mapping data through the real estate surveying and mapping fusion spatial feature data, and real estate surveying and mapping public surveying and mapping point data are obtained. Through multi-source data space-time synchronization, feature fusion, distortion correction, high-dimensional space reconstruction, semantic tag association and chain storage, the efficiency and accuracy of real estate surveying and mapping data processing are improved.

The invention discloses a fresh flower selling management system and method based on a block chain technology, and relates to the technical field of fresh flower management. A data acquisition module acquires real-time data of a fresh flower planting link and a logistics transportation link, transmits the real-time data to a block chain storage module, and binds an identifier of a fresh flower; the block chain storage module is used for storing the fresh flower information and storing the data of the full life cycle of the fresh flowers in a distributed account book; the user access module is used for checking a display legend of the fresh flower and related information of the fresh flower at a user side, and the intelligent contract module is used for generating order information and carrying out payment settlement and automatic account division; the inspection module is used for inspecting flower quality and flower information; and the abnormity monitoring and feedback module is used for timely recording and sending notifications when abnormity is found in the planting, transportation or sales process, and quickly positioning problem nodes. According to the method, the transparency of the whole flow of fresh flower planting and transportation is improved, the data security and credibility are ensured, and rapid traceability is realized.

The invention discloses a transformer substation unmanned aerial vehicle autonomous inspection system which comprises an unmanned aerial vehicle platform, a three-dimensional modeling module, an inspection route setting module, an autonomous inspection module, a mobile monitoring platform, an image acquisition module, an image processing module, an alarm module, a visualization module, a data storage module and a wireless communication module. Wherein the three-dimensional modeling module comprises laser radar equipment and three-dimensional modeling software, the routing inspection route setting module is used for setting different routing inspection routes according to different routing inspection modes and corresponding routing inspection rules, the autonomous routing inspection module comprises a navigation system and a positioning base station, and the mobile monitoring platform comprises a remote controller and vehicle-mounted charging equipment. The image processing module is used for processing and analyzing different types of collected images and different purposes of collected images by using different algorithms so as to timely discover abnormity and give an alarm; the method has the advantages of being good in inspection abnormity processing effect, good in positioning effect, convenient to use and good in data processing effect.

The invention relates to a database structure migration method and device, computer equipment, a computer readable storage medium and a computer program product. The method is applied to a target database and comprises the following steps: in response to a received structure migration instruction from a source database to the target database, determining a plurality of to-be-migrated types corresponding to the structure migration instruction; determining a migration sequence corresponding to the to-be-migrated types according to the dependency relationship among the to-be-migrated types; and based on the migration sequence, obtaining a target object corresponding to each to-be-migrated type, and executing a target structured query statement corresponding to the target object until execution of the target objects corresponding to the to-be-migrated types is completed, the target structured query statement is obtained by processing an initial structured query statement corresponding to the target object in the source database according to the parameters of the target database. The method can improve the migration efficiency and shorten the time.

The invention relates to the technical field of rice processing, in particular to impurity removal equipment for rice production and processing, which comprises a straight channel, a bent pipe and the like, the left side of the straight channel communicates with a bent pipe. Rice is dispersed through the two adjacent first baffles and the two adjacent second baffles, the conveying pressure of the rice stacked in the straight channel is reduced, and the situation that due to the influence of the gravity of the rice, the rice is completely stacked at the bottom of the inner side of the straight channel to be conveyed, and blockage is caused is avoided; the first baffle and the second baffle drive rice to rotate while conveying, the rice is prevented from only making contact with the bottom of the inner side of the straightway, loss of the bottom of the inner side of the straightway is reduced, and the service life of equipment is prolonged. The length of each first baffle is larger than that of each second baffle, so that the conveying distance between every two adjacent first baffles is longer, the conveying distance between every two adjacent second baffles is shorter, the initial gushing position of the rice is changed, the phenomenon that the rice collides with each other after gushing at the same time is avoided, and the integrity of the rice after conveying is guaranteed.

The invention relates to an intelligent video fault analysis and early warning method and device and computer equipment. The method comprises the following steps: acquiring an abnormal monitoring video of a power plant; performing fault analysis on the abnormal monitoring video, and identifying video abnormal data with an abnormal part in the abnormal monitoring video; performing scene perception analysis on the video abnormal data based on the real-time environment change information of the power plant to obtain scene perception analysis data; performing fault diffusion analysis on the abnormal condition of the power plant according to the scene perception analysis data and the video abnormal data to obtain fault diffusion path information; and performing early warning analysis on the video monitoring system of the power plant according to the scene perception analysis data and the fault diffusion path information to obtain equipment fault early warning data and equipment fault maintenance data of the video monitoring system. By adopting the method, prospective management of maintenance of the video monitoring equipment can be realized, and the operation and maintenance efficiency of fault analysis of the video monitoring equipment of the power plant is improved.

The invention discloses a power transmission line three-dimensional reconstruction method and system based on edge side calculation, and the method comprises the steps: carrying out the feature extraction of collected image data of a power transmission line through a preset priori constraint and a preset structural feature extraction model based on an edge side environment, and obtaining key feature information; performing three-dimensional point cloud mapping in the edge side environment according to the key feature information, and constructing an initial three-dimensional model; and transmitting the initial three-dimensional model to a cloud for model optimization to obtain a three-dimensional model of the power transmission line. According to the method, a more accurate and effective feature extraction strategy is provided for feature extraction by using the prior constraint related to the geometric structure of the power transmission line, and feature extraction and initial model construction are directly performed in an edge side environment without transmitting a large amount of data to a cloud for processing; the network bandwidth pressure is reduced; and the construction speed of the three-dimensional model is improved.

The invention discloses a lightweight remote sensing image small target detection method. Through a lightweight convolution module LFC, parameter quantity and calculation quantity required by convolution operation are reduced, and feature extraction and down-sampling are completed on the premise of limited calculation resources and storage space; a receptive field expansion module RFEB is adopted, a receptive field of a backbone network is expanded through multi-branch expansion convolution, local and global context information is fully utilized, and the problem of insufficient feature representation of small targets in a remote sensing image is solved; a hierarchical fusion attention module HFAB is utilized, and spatial attention and self-attention are gradually stacked, so that feature fusion from coarse granularity to fine granularity is realized, and feature representation of a small target is richer; according to the method provided by the invention, on the premise of keeping the target detection precision, the model parameter quantity and the calculation overhead are reduced, the calculation complexity is effectively reduced, and the feasibility of application of a target detection algorithm in edge calculation and real-time monitoring scenes is improved.

The invention discloses a WASM-based OCR document entry method and device and a medium, and the method comprises the steps: determining a Web interface of a client, and obtaining a document file uploaded by a user through the Web interface, the document file comprising a document image; oCR processing is carried out on the receipt file through the client, and text information is extracted according to the receipt file after OCR processing; and analyzing the text information to obtain a data object, determining a preset field, and filling the field according to the data object. According to the method, the OCR process is executed by using the Wasm at the client, so that the load and the network transmission pressure of the server can be reduced, the response speed and the concurrent processing capability of the system are improved, and meanwhile, the cost and the maintenance complexity of the server are reduced.

The invention provides an overwater construction site monitoring information processing method and device, and a display method and device, and relates to the technical field of information monitoring. The monitoring information processing method comprises the following steps: acquiring monitoring information of each working node in an overwater construction site; under the condition that the first working node is in the conventional monitoring state, first monitoring information of the first working node is sent to the first terminal equipment, and the first terminal equipment is forbidden to check monitoring information of other working nodes; when it is monitored that the abnormal working node exists in the first correlation range, determining the risk probability of the first working node according to the abnormal working node; and if the risk probability of the first working node reaches a first threshold, switching the first working node to a risk early warning state, sending risk early warning information to the first terminal device, and allowing the first terminal device to check second monitoring information of the second working node. The data transmission and processing pressure is reduced, and the monitoring and management efficiency is improved.

The invention provides a semantic communication method and device, and relates to the technical field of communication, in particular to the technical fields of large models, deep learning, image processing and the like. The specific implementation scheme is as follows: receiving semantic extraction information of at least two to-be-spliced images transmitted by a channel; performing received signal processing on the semantic extraction information to obtain decoding information; performing multi-scale semantic feature extraction on the decoded information to generate multiple groups of semantic feature information of different scales; and obtaining a panoramic image corresponding to the to-be-spliced image based on the semantic feature information.

The invention discloses a device interconnection system, a data processing method, device and equipment, a medium and a product, and relates to the technical field of data processing.The device interconnection system comprises a processor and a plurality of computing devices, the processor is connected with a processor memory, and the computing devices are connected with computing device memories. The processor is connected with the plurality of computing devices through a bus conforming to a preset protocol; the computing device comprises a target port, different computing devices are directly connected through the target port, and data are directly transmitted between different computing devices through the target port; a processor memory and a plurality of computing device memories are addressed in a unified addressing mode, and when the computing device memories are accessed, address mapping is carried out between the unified addressing and internal address spaces of the computing devices through the corresponding computing devices. The data transmission efficiency between different computing devices is improved, and the address access mode and the data transmission mode are simplified.

The invention discloses a service transmission method, electronic equipment and a storage medium, belongs to the technical field of service processing, and is used for improving the service transmission efficiency, and the method comprises the steps: mapping a customer service to a plurality of time slots of a service layer; mapping overhead information is borne in an overhead area of the service layer, the mapping overhead information is borne in a plurality of time slot overhead of the service layer, and the time slot overhead is located in the overhead area of the service layer; and transmitting the customer service and the mapping overhead information through the service layer.

The present application relates to an office data management method and system based on edge computing, the method includes obtaining the office data of each management terminal of the enterprise and converting the data format, converting the office data of each management terminal to generate enterprise office data in a unified data format and storing it in a management cloud, associating the terminal business association relationship between the enterprise office data related to each terminal business, constructing a data reuse model between the management cloud and several management terminals according to the terminal business association relationship, calculating the load computing power value of each management terminal, inputting the load computing power value into the data reuse model, performing computing power resource matching processing on each management terminal, calling the computing power resources of the management cloud according to the computing power resource matching result to coordinately allocate all management terminals, and processing the terminal business of each management terminal according to the resource allocation result. The present application has the effect of improving the management convenience of enterprise office data.

The invention belongs to the technical field of molecular oil refining, and particularly relates to a crude oil information compression, storage and decompression method, device and equipment, and the crude oil information compression method comprises the following steps: obtaining structure-oriented lumped data of crude oil; traversing the structure-oriented lumped data line by line according to a first sequence, and identifying each field value in each line and the continuous occurrence frequency thereof according to a second sequence; combining the field values in each row and the continuous occurrence times of the field values into a plurality of compressed data subsequences of the row according to a third sequence; splicing the plurality of compressed data subsequences of each row into a compressed data sequence of the row according to the second sequence; and combining the compressed data sequence of each row according to the first sequence to obtain compressed data of the structure-oriented lumped data. The problems of high crude oil information storage cost and high transmission pressure are solved.

The invention discloses a side slope tiny deformation monitoring system and method based on wireless optical communication, and belongs to the technical field of side slope deformation detection.The side slope tiny deformation monitoring system comprises a power module, a shielding module, an optical signal coding module, a laser transmitting module, a laser receiving module, an optical signal decoding module and a wireless communication module; the micro deformation degree of the side slope is judged according to the optical signal receiving deviation degree of the laser transmitting module and the laser receiving module, micro deformation monitoring of the side slope is achieved, the monitoring result of the micro deformation of the side slope is uploaded to an external upper computer through the wireless communication module for data storage, and the shielding module is used for shielding the micro deformation of the side slope. The laser transmitting module and the laser receiving module are covered, and interference of the external environment on optical communication is reduced. According to the invention, based on wireless optical communication, the micro deformation monitoring result of the slope can be timely and directly sent to the upper computer for statistical storage, the data volume transmission pressure is small, the data processing is convenient, different deformation grades can be divided, and a manual inspection strategy is convenient to formulate.

This invention provides a method and system for distributing I / O across SAS expanders between a controller and a disk. The method includes: an ITS module retrieving I / O requests from an I / O request queue and encapsulating them into SCSI commands; selecting a target device address; selecting the local expander channel address for odd-numbered slots and the peer expander channel address for even-numbered slots; the SAS driver transmitting the SCSI command to the local expander via the SAS bus; the local expander selecting the corresponding channel for transmission based on the SAS address encapsulated in the SCSI command; and when the local expander fails to distribute the I / O, it returns a corresponding I / O error to the ITS module, which modifies the SAS address in the SCSI command to the corresponding channel address on the peer expander and re-distributes the I / O. This invention provides a method and system for distributing I / O across SAS expanders between a controller and a disk, allowing I / O to be distributed to the storage disk via the expander belonging to the peer controller when I / O distribution between the current controller and the expander / storage disk fails.

The invention discloses a building energy metering and carbon emission monitoring method based on a multi-modal model, and the method comprises the steps: collecting a dial image of a meter through a camera in the building component production and structure construction process; inputting the dial image into a pre-trained multi-modal deep learning model API, and outputting the type of the meter; identifying the reading of the meter according to the type of the meter; and calculating the real-time energy consumption E sum and the carbon emission C total of each type of energy through the edge server according to the identified reading of each type of meter in combination with the unit carbon emission factor corresponding to the energy type. The method uses the camera to automatically collect energy consumption data, and improves the collection efficiency; the multimodal deep learning technology is adopted to identify the reading of the meter, so that the problems of incomplete numbers, complicated dial plates and the like can be solved, and the identification accuracy is improved; the edge server is used for calculating energy consumption and carbon emission, so that the data transmission pressure is reduced, and the timeliness is improved.

The utility model discloses a quick connection type water film lubricating device, and belongs to the technical field of colloid conveying. Comprising a threaded connection part, a water inlet part and a quick connector connection part. One end of the outer wall of the threaded connecting part is in a step shape, one end of the inner wall of the quick connector connecting part is in a boss shape, the step-shaped end of the threaded connecting part is connected with the boss-shaped end of the inner wall of the quick connector connecting part, and an annular gap is formed at the joint. The water inlet component is connected to the joint of the threaded connecting component and the quick connector connecting component in a sleeving mode and provided with a water inlet hole, and the water inlet hole is communicated with the annular gap. The threaded connecting part is communicated with the quick connector connecting part; the formed water film can isolate the explosive from being in contact with the pipe wall, the conveying resistance is reduced, and the purpose of reducing the conveying pressure is achieved.

The present invention relates to the technical field of data transmission, and specifically discloses a network communication method and system based on mass data transmission, the method comprising: packaging the data to be transmitted according to preset data conditions; converting the data to be transmitted into a data graph, comparing the data graph, and determining a preset number of node graphs; randomly determining a prediction graph based on the node graph, comparing the prediction graph with the corresponding data graph, and obtaining an accuracy rate; when the accuracy rate reaches a preset accuracy rate threshold, packaging the node graph and sending it to the requesting end. The present invention performs packaged transmission on the data to be transmitted, determines the amount of data of the packaged content at one time according to the configuration of the requesting end and its request, determines a preset number of node data in the packaged content, and sends it to the user; the user only needs to receive a small amount of node data, and then combines it with the preset inference rules to obtain data within a period of time, while reducing the transmission pressure, ensuring the adequacy of the data as much as possible.

The present invention discloses a lightweight remote sensing image small target detection method; through a lightweight convolution module LFC, the amount of parameters and the amount of calculation required for the convolution operation are reduced to complete feature extraction and downsampling under the premise of limited computing resources and storage space; a receptive field expansion module RFEB is adopted to expand the receptive field of the backbone network through multi-branch dilated convolution, and make full use of local and global context information to solve the problem of insufficient feature representation of small targets in remote sensing images; a hierarchical fusion attention module HFAB is used to achieve feature fusion from coarse-grained to fine-grained by progressively stacking spatial attention and self-attention, so that the feature representation of small targets is richer; the method provided by the present invention reduces the amount of model parameters and calculation overhead while maintaining the target detection accuracy, effectively reduces the calculation complexity, and improves the feasibility of the target detection algorithm in edge computing and real-time monitoring scenarios.

The invention discloses a data compression and decompression method, a data compression and decompression unit, a mobile terminal, a cloud computing center, a communication method and a communication system, relates to the field of satellite communication, and is used for relieving the satellite transmission pressure. The data compression method is configured in the mobile terminal, LZ77 coding is carried out on data blocks with the length meeting the requirement after segmentation to obtain Literals and a triple sequence, Huffman compression is carried out on the Literals, and FSE compression is carried out on a Huffman compression packet; and performing FSE compression on the triple sequence. And configuring a corresponding data decompression method in the cloud computing center. And the plurality of mobile terminals respectively transmit the compressed data to the cloud computing center for decompression application through satellites. According to the method, the compression rate of the short character string data is improved, the stable compression rate is achieved, the transmission pressure of a satellite can be obviously relieved, and data of a mobile communication coverage blind area can be obtained in time.

The invention belongs to the technical field of chlorobenzene production. The invention discloses a chlorobenzene production process which comprises the following steps: treating benzene and chlorine, respectively conveying the benzene and the chlorine into a chlorinator, carrying out chlorination reaction under the action of a catalyst, cooling the chlorinator in the reaction process, and separating the product by adopting a separator, and carrying out dehydration treatment on the separated chlorobenzene to obtain the chlorobenzene. In the reaction process, mixed materials at the lower part and the middle upper part of the chlorinator are pumped out to the outside for forced cooling, and then the cooled mixed materials are returned into the chlorinator, so that the heat removal speed of the chlorination reaction can be greatly increased, and black materials can be avoided; and the specific separator is adopted to separate chlorobenzene, so that by-products separated during separation and rectification can be rapidly cooled and discharged from the discharge pipe, the separation efficiency of the by-products in the rectification process can be improved, and the production efficiency of chlorobenzene can be improved.

The invention discloses a self-adaptive image transmission planning method and system based on image content and downlink transmission bandwidth, and belongs to the technical field of image processing and task planning. The method comprises the following steps: obtaining the size and resolution of an original image; a region-of-interest image and a non-region-of-interest image are generated by extracting a region-of-interest in an original image, and the position of the region-of-interest in the original image is acquired; wherein the resolution of the region-of-interest image is the resolution of the original image, and the resolution of the non-region-of-interest image is generated based on a downlink transmission bandwidth; and transmitting the region-of-interest image, the non-region-of-interest image, the size of the original image and the position of the region-of-interest in the original image to a second device via a downlink, so that the second device recovers the original image. According to the invention, the transmission pressure of the ground station can be effectively reduced, and redundant data are significantly reduced.

The present invention provides a modeling open air traffic control operation simulation system and method, the method includes planning business simulation models on demand, and performing standardized transformation, configuring models participating in simulation, building simulation environment, setting rules, making simulation plans, starting simulation, simulation deduction controller scheduling control business simulation model group, data sharing service driving by time sequence and events to complete the deduction of simulation scenarios, evaluation and analysis module statistical analysis and visual display of analysis results, starting simulation playback, and visual playback of the deduction process. The simulation model of the present invention can be flexibly loaded and replaced on demand, has strong openness, can be applied to operation scheme verification and technical verification scenarios, has low coupling between models, and the simulation system is light and flexible.

The invention relates to the technical field of electronic reconnaissance signal processing, in particular to a signal processing architecture of an electro-optical front-end reconnaissance system, which comprises a digital-to-analog conversion module for sampling an input radio-frequency signal and converting the input radio-frequency signal into a digital signal; the time-frequency conversion module is used for converting time domain information of the digital signal into frequency domain information; the frequency domain analysis module obtains frequency domain parameters by using a peak detection algorithm, a bandwidth detection algorithm and a defuzzification algorithm based on phase remainder matching; the frequency conversion filtering module is used for moving the digital signal to zero frequency and filtering the digital signal according to a frequency domain parameter to obtain mixed and filtered IQ data; and the time domain analysis module is responsible for analyzing the IQ data through the GO-CAFAR threshold detection circuit to obtain a time domain parameter of the signal, and outputting the IQ data, the frequency domain parameter and the time domain parameter to terminal equipment. According to the architecture, the transmission pressure of frequency domain reconnaissance signals can be reduced, and the frequency resolution and sensitivity of a system are improved.

The application discloses a cloud game video transmission method based on a video enhancement and bit rate adaptive algorithm, which combines edge computing, a bit rate adaptive algorithm based on reinforcement learning and a video enhancement technology.The application decides the transmission bit rate through reinforcement learning when the network fluctuates, reduces the video data amount to be transmitted by reducing the frame rate and resolution, avoids lag, and then improves the game video quality through super resolution and frame interpolation.The video enhancement is unloaded from the terminal device of a game player to an edge cloud server by using an edge computing architecture, so that the problem of insufficient terminal computing power is avoided.The application can guarantee high-quality and stable cloud game service in the case of network fluctuation, and improve the game experience of cloud game users.

The present invention discloses a node-type slope monitoring system and method, which belongs to the field of slope monitoring and protection technology. The present invention uses optical fiber sensors that constitute each monitoring node in the monitoring node array to sense the vibration signal before the slope disaster occurs in real time, combines the satellite timing module and the data processing module to realize the real-time and high-precision collection and processing of the micro-vibration signal of the slope disaster, and performs subsequent effective event identification, source location, magnitude assessment and disaster warning through the cloud server, thereby realizing high-precision, low false alarm rate and accurate warning of slope disasters; the data preliminary screening module performs preliminary screening of the data before uploading through the STA / LTA algorithm, reduces the transmission pressure of the wireless transmission module, reduces the battery power consumption of the equipment, and reduces the storage of invalid data by the cloud server.

The application discloses an e-commerce platform consumer behavior prediction method based on edge computing, comprising the following steps: collecting the behavior event flow of consumers in the e-commerce platform at the corresponding edge node of user access, and performing preprocessing; constructing a session state feature vector; constructing a local behavior transition graph for a micro-session segment and performing timing diagram coding on the local behavior transition graph; aligning and calculating the local behavior representation vector with a long-term preference anchor point set; generating a state digest based on an edge side prediction network and a collaborative routing indication value, and sending the state digest to a cloud node; the cloud node performs collaborative prediction in combination with the historical behavior characteristics stored in the cloud; collecting real behavior feedback of the edge side prediction result or the cloud prediction result to obtain difficult samples, generate a parameter correction amount or an anchor point correction amount, and write back to the edge node. The edge collaborative prediction realizes accurate identification of consumer behavior.

The utility model relates to the technical field of transportation transmission mechanisms, and discloses a coal mine electromechanical transportation transmission mechanism which comprises a bottom plate, one side of the outer wall of the bottom plate is fixedly connected with a clamping groove, one side of the outer wall of the bottom plate is provided with a sliding block, the outer wall of the sliding block slides in the clamping groove, the outer wall of the sliding block is fixedly connected with a motor, and the motor is fixedly connected with the bottom plate. The output end of the motor is fixedly connected with a rotating rod, the upper surface of the bottom plate is fixedly connected with a first rotating roller, one side of the outer wall is rotationally connected with the first rotating roller, a conveying belt is arranged between the rotating rod and the first rotating roller, the upper surface of the bottom plate is fixedly connected with a first fixing rod, and one end of the first fixing rod is fixedly connected with a guide block. According to the conveying device, the second fixing rod and the second rotating roller are arranged under the conveying belt to relieve the conveying pressure of the conveying belt, the service life of the conveying belt is prolonged, the position of the conveying belt is limited through the limiting block, the conveying belt is prevented from deviating, and the effect of saving maintenance time and maintenance cost is achieved.