1152results about How to "Reduce transmission" patented technology

The invention discloses an intelligent advertisement putting processing method and system based on user data, and relates to the technical field of data processing, and the method comprises the steps: putting an advertisement in an advertisement pool based on an edge device, collecting the video information during the advertisement playing period through the edge device, analyzing the stored video information, extracting the user feature information, and storing the user feature information in the advertisement pool; the user feature information is integrated into user feature vectors, the user feature vectors stored in the edge devices are uploaded to the cloud platform, the cloud platform analyzes the user feature vectors uploaded by the edge devices to generate user portrait information, and the user portrait information is displayed on the basis of the user portrait information generated by the cloud platform. And putting corresponding advertisements to the user groups with similar user portrait information, collecting feedback data, and dynamically optimizing the advertisements put by the edge devices and the user groups based on the feedback data. The method has the advantages that the data transmission delay and the cloud computing pressure are reduced through the cloud edge collaboration method.

The invention belongs to the technical field of data synchronization, and particularly relates to a real-time data synchronization method for cloud computing heterogeneous resources. In order to solve the problem of data synchronization among heterogeneous resources, the method comprises the following steps: aggregating a plurality of files in batches to generate a packaged file; performing metadata compression processing on the generated packaged file, and eliminating repeated data through a deduplication algorithm; dynamically selecting a lightweight data transmission protocol; establishing a multi-dimensional index structure; only retaining the file of the latest version through a version control mechanism; dynamically adjusting the allocation of synchronization tasks based on the load condition of available resources in the cloud computing environment; and rescheduling the uncompleted synchronization task. Through a multi-dimensional index structure, version control, self-adaptive transmission scheduling and a dynamic resource allocation mechanism, efficient and stable file synchronization among heterogeneous resources is realized, repeated transmission and storage waste are reduced, and real-time performance, reliability and resource utilization efficiency of synchronization are improved.

The invention provides a method for predicting the relative abundance of antibiotic resistance genes in surface water and application. The method comprises the following steps: acquiring ARGs relative abundance, water quality physicochemical indexes and genus level bacteria relative abundance of a water sample to be detected, and judging potential bacterial hosts of ARGs by Spearman correlation; the method comprises the following steps: taking water quality physicochemical indexes and relative abundance of potential bacterial hosts as characteristic variables, and respectively taking relative abundance of multidrug ARGs and total ARGs as target variables; adopting automatic machine learning to screen an optimal algorithm; determining an optimal feature set through feature importance ranking and model comparison; and establishing an optimal prediction model to predict the relative abundance of the multi-drug ARGs and the total ARGs of the water sample to be detected. According to the method, the water environment ARGs are predicted based on environmental factors and bacterial indexes, the model accuracy is high, and main driving factors and potential bacterial hosts influencing propagation and proliferation of the ARGs can be identified through interpretable analysis between features and target variables.

The invention relates to the field of voltage regulation and control, in particular to a real-time voltage regulation method for a new energy automobile. Initializing a power distribution network voltage measurement module, and collecting voltage data of each node of the power distribution network; setting a voltage deviation threshold value, and judging whether the voltage is in a normal range or not; collected voltage is compared with a set voltage deviation threshold value, a result obtained after preliminary voltage regulation of an on-load voltage regulation transformer is compared with the set voltage deviation threshold value, and a result obtained after cooperative voltage regulation of an electric vehicle charging pile is compared with the set voltage deviation threshold value. According to a comparison result, tap adjustment of an on-load voltage regulation transformer, cooperative voltage regulation of an electric vehicle charging pile and voltage regulation participated by a distributed photovoltaic system are carried out in sequence; and formulating an optimization strategy based on historical data and results of three times of voltage regulation. By means of cooperative voltage regulation, optimal control, intelligent management and the like, the voltage stability is effectively improved, and the adaptability and flexibility of the system are enhanced.

The invention relates to the technical field of insulating materials, in particular to a flame-retardant high-strength insulating material and a preparation process thereof. The insulating material comprises the following components in parts by weight: 50-60 parts of polyvinyl chloride, 20-40 parts of crosslinked polyethylene, 10-15 parts of an ethylene-vinyl acetate copolymer, 20-40 parts of a flame retardant, 5-15 parts of talcum powder, 10-20 parts of calcium carbonate, 6-12 parts of a compatilizer and 3-8 parts of an antioxidant. The flame retardant is prepared by taking ammonium polyphosphate as an acid source, polydopamine as a charring agent and modified graphene oxide as a reinforcing agent, the flame retardant is added into polyvinyl chloride and a crosslinked polyethylene insulating material base material, and combined with the combined action of an ethylene-vinyl acetate copolymer, talcum powder, calcium carbonate, a compatilizer and an antioxidant, the flame retardant property of the insulating material base material is improved, and the flame retardant property of the insulating material base material is improved. The prepared insulating material not only has excellent mechanical property, but also has excellent flame retardant property, so that the service life of the material is prolonged.

The invention discloses a tunnel crack detection method and a tunnel crack detection system, and belongs to the field of tunnel safety detection.The tunnel crack detection method comprises the steps that a tunnel inspection robot is utilized to conduct inspection in a tunnel to obtain complete three-dimensional data in the tunnel so as to construct a three-dimensional map in the tunnel, and the position of each crack area in the three-dimensional map is determined; determining an inspection tour area corresponding to each crack area and executing path planning, and generating an optimal inspection tour path of the unmanned aerial vehicle; the optimal inspection path enables the unmanned aerial vehicle to sequentially pass through each inspection area and then leave the tunnel after entering the tunnel under the condition that obstacle avoidance conditions are met, and the total time is shortest; enabling the unmanned aerial vehicle to move according to the optimal inspection path, and scanning the crack region by using the depth camera when the unmanned aerial vehicle moves to one inspection region so as to obtain fine three-dimensional data of the crack region; and performing analysis processing on the fine three-dimensional data of the crack area to complete tunnel crack detection. According to the invention, the efficiency and precision of long tunnel crack detection can be improved.

The invention discloses an underground water level prediction method and system based on a space-time attention gating neural network. The method comprises the following steps: constructing a historical underground water level space-time sequence data set; performing principal component analysis on the space-time sequence data set to obtain a dimension-reduced space-time sequence data set; for the spatio-temporal sequence data set after dimension reduction, constructing a plurality of spatio-temporal characteristic matrixes through a sliding window method; training an underground water level prediction model by using the plurality of spatial-temporal characteristic matrixes to obtain a trained underground water level prediction model; obtaining time-space sequence data of historical underground water level of a to-be-measured position, constructing a time-space characteristic matrix of the underground water level, and predicting the underground water level of the to-be-measured position by using the trained underground water level prediction model; according to the method, rapid and accurate prediction of the underground water level is realized, and the generalization ability, the prediction precision and the interpretability of an underground water level prediction model are greatly improved while the modeling cost is reduced.

The invention relates to the technical field of federated learning, and discloses a discriminator knowledge distillation personalized federated learning method based on a conditional generative adversarial network. The problems of appearance of massive participants and influence of non-independent identical distribution of data on federal learning data cost and personalized learning efficiency are solved; a discriminator knowledge distillation model fused with the conditional generative adversarial network is put forward to be embedded into a personalized federated learning framework; the differentiated feature representation of the client model is enhanced through the discriminator knowledge distillation model, so that the personalized model effectively recognizes and captures specific modes and features of individuals, the representation capability and the personalized effect of the model are enhanced, the higher model compression rate is achieved, and meanwhile, the user experience is improved. The conditional generative adversarial network fused with the discriminator generates synthetic data specific to each client, and the synthetic data improves the generalization ability of personalized federal learning and the adaptability of the model on the premise of fully ensuring the data privacy.

The invention relates to the technical field of data processing, in particular to a sheep house-oriented environmental data monitoring method, device and system, and the method comprises the steps: obtaining a feed consumption sequence, an environmental temperature sequence, an infrared image data set and an ammonia concentration sequence of a plurality of historical excrement cleaning periods of a sheep house; the feed consumption degree of the sheep house at the latest moment in the latest excrement cleaning period is obtained; obtaining the influence degree of the temperature on the ammonia gas concentration value at the latest moment; the environment temperature fluctuation degree of the sheep house at the latest moment is obtained; according to the influence degree, the environment temperature fluctuation degree, the current ammonia concentration sequence and the stable class cluster, the real ammonia concentration value of the sheep house at the latest moment is obtained. Under the condition that the ammonia concentration of the sheep house is influenced by the environment temperature, the excrement accumulation amount of the sheep house can be accurately judged, excrement in the sheep house can be cleaned in time, and a proper breeding environment is created for the sheep house.

The invention relates to the technical field of hard rock stratum blasting construction, and discloses a hard rock stratum blasting excavation method and a blasting delay time calculation method. The technical problems that in the prior art, in underground engineering drilling and blasting method construction, harmful effects exist, vibration generated by blasting is difficult to control, the surrounding environment is affected, the blasting efficiency is low, the construction period is long, and the engineering cost is high are solved. The method comprises the following steps that the tunneling blasting delay time is calculated, and vertical shaft large-diameter empty hole underholing blasting is carried out; vibration reduction holes are formed in the tunnel and the vertical shaft and between the blast hole and the protection object; and tunnel driving blasting charge and vibration effect test are carried out. The technical level of hard rock stratum blasting excavation construction is improved, and fine design and construction of hard rock stratum blasting and control over harmful effects are achieved.

The invention relates to the technical field of welding, in particular to a welding method. According to the method provided by the invention, when the length of the wire harness is less than or equal to 500mm and the second end and the second terminal of the wire harness are welded, the first end of the wire harness is slightly influenced by vibration, and the tension value of the first terminal at the first end and the wire harness is reduced, so that after the welding parameters are adjusted, on one hand, the welding tension effect of the second end is reduced; on the other hand, vibration generated during welding is reduced, so that damage to the welding position of the first end is reduced, and tension values of the front end and the rear end can be balanced. In addition, the first end of the wire harness welded with the first terminal is clamped in the welding process, so that vibration generated when the second end of the wire harness is welded is counteracted by the clamping mechanism, propagation of the vibration to the first end is greatly reduced, and the influence on the first end is reduced.

The utility model relates to the technical field of building materials, in particular to an assembly type PC wallboard structure which comprises two butt-joint openings symmetrically formed in the bottom end of a wallboard body, two clamping plates are symmetrically arranged in the butt-joint openings, sliding columns in sliding connection with the wallboard body are fixedly connected to the side walls of the two clamping plates, and the side walls of the two clamping plates are fixedly connected with the bottom end of the wallboard body. The top of the wallboard body is symmetrically and fixedly connected with one ends of two connecting columns. According to the wall board, the two T-shaped blocks on the top of the wall board body are inserted into the grooves in the bottom end of the other wall board body, when the T-shaped blocks abut against the inclined plane portions of the clamping plates in a sliding mode, the clamping plates can abut against the two sides by a certain distance, and then the clamping plates are rapidly reset under extrusion of the reset springs; the T-shaped block can be clamped and positioned through the two clamping plates, so that the T-shaped block can be limited through the butt joint opening in the bottom end of the wallboard body and the cover plate, the PC wallboard can be quickly assembled, and the assembling efficiency of the PC wallboard is improved.

The invention discloses an equipment broadcast message distribution method and system based on dynamic polling grouping, and belongs to the technical field of equipment broadcast, and the method specifically comprises the following steps: setting an initial query interval, sending a state query request to all equipment at every query interval by a central node, and sending a state message to all equipment after any equipment receives the query request; sending self monitoring data to a center instruction; obtaining a quantitative index in the monitoring data, generating a quantitative index sequence of any equipment every n query intervals, calculating an initial coefficient according to the quantitative index sequence, and converting the initial coefficient into an adjustment coefficient of the query intervals; calculating the duration of the next n query intervals according to the adjustment coefficient; a plurality of intervals are set, the devices with the adjustment coefficients in the same interval are divided into the same group, the query priorities of the devices in each group are ranked from large to small according to the numerical values of the adjustment coefficients, and polling is carried out in sequence according to the priorities.

The invention provides a charging pile information aggregation display method and display platform, and belongs to the field of charging piles, and the method comprises the steps: obtaining user behavior data and environment data of a charging pile platform, and obtaining a user demand; a scheduling strategy of the charging pile is generated, and personalized user demand display is provided for a charging pile platform; performing weighted fusion on the state data of the charging pile and the environment data; using the time sequence data as input to obtain a load prediction value; and for each user, a personalized recommendation list is generated for each user, real-time user feedback of the charging piles recommended by the user after using the personalized recommendation list is collected in real time, and the satisfaction degree of the user to the recommended charging piles is generated in combination with the personalized recommendation list. By fully combining artificial intelligence and distributed network technology, several core problems of a traditional charging pile information platform are solved, and the intelligent degree, real-time performance and user experience of the platform are greatly improved.

The invention provides a front-end flue gas isolation and discharge device for lithium ion battery thermal runaway exhaust, and belongs to the technical field of lithium ion batteries, the front-end flue gas isolation and discharge device for lithium ion battery thermal runaway exhaust comprises a fixed support, a silica gel ring, a thermal insulation layer, a cushioning layer, a flue and a piezoelectric film sensor, the fixed bracket is clamped between the positive pole and the negative pole of the lithium battery and is used for providing stable support for the installation of the device; the flue is arranged at the top of the fixing support and comprises a plurality of branch pipelines, and each branch pipeline is directly connected with the corresponding safety valve; the silica gel ring is filled between a branch pipeline of the flue and the fixed bracket; the device can solve the problem of diffusion of thermal runaway gas in a battery pack, and prevent heat transfer of unburned gas to a normal battery in a thermal runaway exhaust process and combustion heat transfer possibly generated after ignition, so that the spreading of thermal runaway in a module is delayed.

The invention provides a wireless communication method, terminal equipment and network equipment. The method comprises: a terminal device receiving first information sent by a network device, the first information being used for one or more of the following: determining whether a first cell supports transmission of a target system message block SIB1, the transmission of the target SIB1 being triggered based on a request of the terminal device; determining a transmission resource of a first request, wherein the first request is used for requesting the target SIB1 of the first cell; and determining sequence information of the first request. Compared with the periodically transmitted SIB1 in the traditional scheme, the terminal equipment can determine whether the first request needs to be sent in the first cell to trigger the transmission of the SIB1 and how to send the first request in the first cell, so that unnecessary SIB1 transmission can be reduced, and the utilization rate of energy and resources can be improved.

The invention provides an interaction method based on a language interaction interface and used for end-cloud model combination and computing equipment. The method comprises the following steps: calling an end-side intelligent assistant in response to a user request; judging a user intention through an end side model; according to the user intention, different interaction results are generated according to the intention recognition result; wherein if it is judged that the user intention is the first type of intention, the end side model directly processes the user intention and returns a result to complete interaction; and if it is judged that the user intention is a second type intention, entering a cloud side large model for processing, and returning a result to an end side to complete interaction. According to the technical scheme, the user interaction boundary can be weakened, the operation process is more flexible, the user interaction cost is reduced, and the interaction delay time of a large model is shortened.

The invention belongs to the technical field of airport operation information processing, and discloses an airport emergency information release response processing platform and method. The method comprises the following steps: determining a processing strategy; generating an event report by using a preset template, and automatically reporting the event report according to a preset communication protocol; in the disposal process, high-definition video pictures and voice transcription characters are captured in real time and automatically transmitted to a background system, key video clips and pictures are recognized and intercepted through an advanced intelligent analysis algorithm, each link of the whole event disposal is recorded, key data and insight are extracted from recorded information, and the processing efficiency is improved. And optimizing the disposal process. And the processing progress of each event processing center and each event processing terminal is monitored in real time. According to the invention, various dynamic information on site can be quickly captured and understood, detailed disposal records are formed, the disposal process is continuously optimized, and quick and accurate response can be ensured when various emergencies occur.

The invention discloses a database AI question answering system and method based on a large language model and retrieval enhancement, and relates to the technical field of database retrieval. The system comprises a front-end interaction module, a distributed cache management module, a task scheduling center, a large language model processing sub-module, a retrieval enhancement sub-module, an answer optimization sub-module and a database management sub-module. All the sub-modules are mutually independent and work cooperatively, through an efficient task scheduling mechanism, the system can monitor the load and resource states of all the sub-modules in real time, accurate allocation of tasks is conducted according to an intelligent algorithm, in a large-scale concurrent request scene, single-point faults and resource waste are effectively avoided, stable operation of the system is ensured, and meanwhile, the system can be widely applied to large-scale concurrent requests. The distributed cache management module further optimizes the storage and access of the data, reduces repeated data query and transmission, and improves the overall performance.

The invention relates to the technical field of AI big data processing, and discloses an AI big data real-time processing and analysis method, which comprises the following steps: step 1, data acquisition and preprocessing; step 2, feature extraction and intelligent adaptation; step 3, feature association and data screening; step 4, data analysis; 5, system architecture and technical support; and step 6, edge calculation support. For different types of data, such as images, texts, sensor data and the like, the edge device firstly performs standardization processing, converts the data into a general format, facilitates subsequent unified processing, converts the images into a specific resolution or color format, and converts the texts into a unified coding format; and the sensor data is converted into a specific data unit or range, so that the beneficial effect of uniformly processing different data types to improve the data processing efficiency is achieved.

The invention discloses fused quartz plate welding equipment with a positioning effect, and relates to the technical field of welding, and the fused quartz plate welding equipment comprises a composite mechanism. According to the fused quartz plate welding equipment with the positioning effect, through the design of the composite mechanism, the two fixing mechanisms are arranged and distributed on the two sides of the composite base, quartz plates are placed on the inner sides of the fixing mechanisms, and the effect of fixing the plates is achieved through the fixing mechanisms, so that the stability during welding is kept, deviation is prevented, and the welding precision is improved; the fixing mechanisms slide on the outer sides of the sliding rail columns, the two fixing mechanisms move towards one side of the welding machine, the mechanical butt joint effect is achieved, deviation caused by manual butt joint is avoided, the sliding frame body slides on the inner side of the composite frame body, the welding machine is driven to conduct transverse operation, and therefore the plate welding effect is achieved. When laser welding is carried out, dazzling light exists, the light is shielded through the protection mechanism, the working environment is optimized, and the vision of personnel is prevented from being affected.

The invention discloses a subway track surveillance video lightweight transmission method, which comprises the following steps: acquiring surveillance video data through an edge server, and performing corresponding frame extraction according to the region type of the surveillance video data to obtain first video surveillance data of different region types; decomposing the first monitoring video data through a first-level server to obtain a plurality of frames of images, performing image recognition according to the type of the located region to obtain monitoring event data, and dynamically adjusting the frame rate of the first monitoring data according to the type of the located region and the monitoring event data to obtain second video monitoring data; performing queue storage on the second video monitoring data according to different area types and the priority of the monitoring event data, and transmitting the second video monitoring data to a secondary server according to the priority of the video monitoring data and the condition of network resources; and dynamically compressing the second video monitoring data through the secondary server according to the duration, priority and different frame rate distribution proportions of the second video monitoring data to obtain third video monitoring data.

The attapulgite (HNTs) is modified by using the diethyl aluminum hypophosphite (ADP), so that the flame retardant property of the HNTs and the compatibility of the HNTs and a polypropylene matrix can be remarkably improved. Through thermal modification, the treated surfaces of the HNTs can effectively adsorb phosphorus elements, and ADP can form phosphate groups on the surfaces of the HNTs to enhance the flame inhibition effect of the HNTs. Due to the adsorption effect, the modified HNTs can form a carbonized layer more quickly at high temperature, flame spreading is prevented, and the flammability of the material in a fire disaster is reduced. The dispersity and compatibility of the modified HNTs in a polypropylene matrix are remarkably improved, the mechanical property and thermal stability of the composite material are enhanced, and the modification cost is effectively reduced by optimizing the modification method. Compared with a traditional high-content inorganic flame retardant, the ADP modified HNTs has the advantages that the flame retardant property is improved, and meanwhile, the requirement for using other expensive flame retardants is reduced, so that the cost of the composite material is effectively reduced.

The invention belongs to the field of organic electroluminescent materials, and discloses a blue light host material, a preparation method and an organic electroluminescent device. The structure of the blue light host material is as shown in a chemical formula I: # imgabs0 #. After the blue light host material provided by the invention is applied to the organic electroluminescent device, the driving voltage of the photoelectric device can be reduced, the luminous efficiency of the photoelectric device can be improved, and the service life of the photoelectric device can be prolonged.

The invention relates to the technical field of data center management, and discloses a prefabricated cabin type data center monitoring system, which comprises a data acquisition module arranged in a prefabricated cabin and used for acquiring environment data, electric power data and IT equipment operation state data in the cabin, converting the acquired data into a standardized data format, and transmitting the standardized data format to a server through a protocol conversion interface; and uniformly converting the acquired data of different communication protocols into a preset standard data format. A data cleaning and compression mechanism is designed in an edge calculation module, collected environment data, power data and IT equipment operation state data are preprocessed in real time, abnormal data are rapidly judged based on set upper and lower limit values, the abnormal data are marked as alarm data and are preferentially transmitted to a subsequent module, transmission of invalid data is reduced, and the efficiency is improved. The network bandwidth utilization rate is improved, rapid fault detection and response are realized, and the fault diagnosis and repair time is shortened.

The invention relates to a data processing method of a neural network, the neural network and a chip, the data processing method of the neural network comprises the following steps: a weight data storage step: loading weight data into a PIM; a weight data distribution step: distributing the weight data to the corresponding Bank; and a calculation step: performing Mac calculation based on the data of each Bank. The method comprises the following steps of: loading weight data to a process In Memory (PIM) unit, distributing the weight data to different Banks, and carrying out multiply-add (MAC) operation on the basis of data in each Bank. According to the method, data processing and storage are integrated, so that the transmission bottleneck of data from a memory to a processing unit is reduced, the calculation delay and power consumption are reduced, and particularly, the efficiency can be remarkably improved in large-scale neural network calculation.

The invention provides an SOT-MRAM memory calculation unit, array, system and method supporting exclusive-or operation, which support data writing and reading and exclusive-or operation and complete common exclusive-or operation in a memory to reduce data transmission so as to relieve the storage wall problem. The SOT-MRAM storage and calculation unit provided by the invention comprises a first NMOS (N-channel Metal Oxide Semiconductor) tube, a first transmission gate and a magnetic tunnel junction SOT-MTJ, the SOT-MRAM storage and calculation array disclosed by the invention comprises four SOT-MRAM storage and calculation units which are arranged in a 2 * 2 manner; the SOT-MRAM storage and calculation system disclosed by the invention comprises an SOT-MRAM storage and calculation array, two induction circuit modules and an XOR operation circuit module, the SOT-MRAM storage and calculation method comprises the following steps of data writing operation, data reading operation and XOR operation.

The invention provides an information transmission and acquisition method and device, and communication equipment, and the method is executed by a first network function, and comprises the steps: sending a service quality configuration file and / or a service quality rule to access network equipment; and / or sending the service quality rule to a second network function, wherein the second network function is used for realizing user plane management; wherein the first network function is used for realizing session management. According to the scheme, the first network function for realizing session management is adopted to directly send the service quality configuration file and / or the service quality rule, so that the service quality configuration file and / or the service quality rule can be directly transmitted to the access network equipment and the second network function without forwarding through the network function for mobile access management; signaling transmission can be reduced, and transmission time delay is reduced.

The invention relates to the technical field of wireless communication, and provides a short code RM coding method and device based on a multipath channel, a medium and a program product, in the method, RM coding redundancy bits are increased in groups to resist deviation of a related maximum value and an ideal position caused by symbol offset brought by other secondary path delays; meanwhile, as the spread spectrum can expand the signal on a relatively wider frequency band and can reduce the propagation problem caused by multipath and attenuation, the spread spectrum processing is carried out on the data after the RM redundant coding is carried out, so that the sent information has very strong anti-multipath capability, and the performance of RM coding and decoding in a multipath environment is greatly improved.

The invention provides an intelligent monitoring and adjusting reclaimed water irrigation method and system, and relates to the technical field of water resource utilization, and the method comprises the steps: deploying a sensor network which comprises a water quality sensor, a flow sensor and a pressure sensor; the sensor network monitors parameters of the irrigation system in real time and sends the parameters to the intelligent controller; the intelligent controller uploads the parameters to a cloud server; the cloud server analyzes the parameters through an intelligent control algorithm and dynamically adjusts water resource distribution; the intelligent controller receives an adjusting instruction of the cloud server and automatically adjusts parameters of the irrigation system.