69results about How to "Meet data needs" patented technology

The invention provides a method for realizing the data synchronization of a heterogeneous database and simultaneously provides a system for realizing the data synchronization of the heterogeneous database on the basis of the method. The method for realizing the data synchronization comprises the following steps: a) carrying out the preparation work of the data synchronization of the heterogeneous database, and configuring data; b) carrying out the data increment capture of the data synchronization; c) synchronizing total-amount data; and d) synchronizing incremental data. The method and the system for realizing the data synchronization of the heterogeneous database are a technology and a tool which can cause various types of data storage to be compatible and efficiently carry out data synchronization and exchange so as to meet various data requirements of the domestic and foreign business of enterprises.

The invention provides a report management method based on a block chain technology and terminal equipment. The method comprises the following steps of acquiring an electronic report; extracting each essential factor and statistics data corresponding to each essential factor in the electronic report; and adding the electronic report, each essential factor and the statistics data corresponding to each essential factor in a block chain which is maintained by local and other nodes, wherein the electronic report, each essential factor and the corresponding statistics data are stored in a block which is newly created by the block chain. Electronic report data can be prevented from being tampered and authenticity of the electronic report data is increased.

The invention discloses a data querying method, device and system, which are used for satisfying requirements on users for data range and querying frequency while querying data. The method comprises the following steps: a data querying server obtains a data querying condition provided by the user, and determining corresponding information according to the data querying condition; the data querying server determines a data querying policy according to the determined data information and sample data sampled from data managed by each region server of a data management system in advance based on a pre-set sampling rule, wherein the pre-set sampling rule is achieved as follows: data managed by all servers are sampled by correspondingly using pre-set sampling rates which are in ascending order according to descending order of time difference between the time when sampling the managed data and the time when generating the managed data; and the data querying server queries the data corresponding to the data information according to the determined data querying policy.

The invention relates to a platform cascading method and system based on Rabbit MQ and Socket.io. The method includes the following steps that S1, administrative region division codes and platform codes are used as queue names and routing keys, and when task assistance or feedback assistance information is sent, messages are sent to designated queues through the designated routing keys; when all levels of platforms read the task assistance/feedback messages, the messages are read from the corresponding queues through the designated routing keys; S2, a socket.io message real-time push background service is set up based on the Node.js environment, other server applications or clients submit the messages needing to be pushed to the socket.io background service in the JSON format, and the messages are pushed or broadcast to the clients through the socket.io background service. Task cooperation, information feedback and part business data exchange functions can be achieved among multiple stages of transregional and heterogeneous platforms, and the seamless data demand of police in the synthetic combat process is met.

The invention discloses a wind speed probability distribution modeling method and system. The difference of wind speeds in different areas can be reflected and the adaptability of a wind speed random distribution model can be enhanced. The method comprises the steps of obtaining a first parameter probability density function of a wind speed according to a historical actually measured wind speed sample; setting m wind speed grouping intervals, and performing x<2> checking and K-S checking on the first parameter probability density function of the wind speed by utilizing the historical actually measured wind speed sample; when a statistical quantity x<2> is less than a critical value x<2>m1(1-alpha) and a statistical quantity Dn is less than a critical value D(n, alpha), obtaining a probability distribution function of the wind speed according to the first parameter probability density function of the wind speed to describe the probability distribution model of the wind speed; and when the statistical quantity x<2> is greater than or equal to the critical value x<2>m1(1-alpha) and the statistical quantity Dn is greater than or equal to the critical value D(n, alpha), obtaining the probability distribution function of the wind speed according to a nonparametric kernel density estimation function to describe the probability distribution model of the wind speed.

The invention relates to the field of radio digital communication, in particular to a method for processing the data of an RLC (radio link control) layer and a PDCP (packet data convergence protocol) layer when the RRC (radio resource control) connection is released under an LTE (long-term evolution) system. The method comprises the steps of reorganizing the data of the RLC layer and transferring the data of the PDCP layer, wherein the step for reorganizing the data of the RLC layer comprises the following steps: after receiving the message indicating that the RRC connection is released, an RLC entity carries out the analysis of integrity on the header of RLC PDU (packet data unit) data before the resources of the RLC layer are released, and the RLC entity delivers the reorganized integral RLC PDU as an RLC SDU (service data unit) to the PDCP layer; and the step for transferring the data of the PDCP layer comprises the following steps: after receiving the data delivered by the RLC entity, a PDCP entity delivers the received RLC SDU as an PDCP PDU to an upper layer before the resources of the PDCP layer are released. By using the method, the invention can make full use of the integral cache data in the receiving window of the RLC layer, reduce the frame loss rate of data in the receiving direction and improve the reliability of the data transfer.

The invention relates to a floating car based urban road AADT (annual average daily traffic) estimation method. The method includes the following steps: utilizing floating car GPS (global positioning system) data for calculating section individual car sample velocity; extracting section average travel velocity; calculating hour traffic; estimating daily average traffic; estimating AADT. Compared with the prior art, the method has the advantage that the problems of poor accuracy and low efficiency of a conventional AADT estimation method are solved. Section average velocity is acquired by the aid of the floating car technology, and intelligent accurate estimation of the road AADT is realized through a series of model calculation.

The invention discloses a hybrid communication method for a communication gateway machine of a transformer substation and a main dispatching station system. The hybrid communication method comprises the following steps that: a clipping rule of each main dispatching station is pre-configured on the communication gateway machine of the transformer substation; when a target main dispatching station needs to communicate with a monitoring system of the transformer substation, the communication gateway machine of the transformer substation reads the clipping rule and clips and combines original data of the transformer substation so as to obtain data required by the target main dispatching station; a communication mode is selected according to real-time requirements of a system application of the target main dispatching station; and the data required by the target main dispatching station obtained by combination is sent to the target main dispatching station from the communication gateway machine of the transformer substation. According to the invention, information clipping and combining can be automatically completed; errors possibly due to artificial configuration can be eliminated; communication mode selection by users can be shielded through seamless switching having configurable contents; furthermore, user data transmission requirements having different real-time performances can be satisfied at the bottom layer; communication modes and contents are flexible; hardware is unnecessary to increase; and the hybrid communication method is good in compatibility and wide in application range.

The invention discloses a tail end space energy consumption prediction method based on building total energy consumption, a medium and equipment, and the method comprises the steps of sequentially transmitting preprocessed sample data of N tail end spaces at a moment t and first tau time steps into a tail end space energy consumption prediction model in each step of model training; enabling the model to obtain N tail end space energy consumption prediction values at the t moment through N times of forward calculation, adding the N tail end space energy consumption prediction values to the actual total energy consumption of the building to calculate a loss function, and adjusting parameters of the tail end space energy consumption prediction model through back propagation of a gradient descent method; repeating the training process on the sample data at all moments until the model converges to the prediction precision, and completing the training of the end space energy consumption prediction model; and predicting the energy consumption generated by the tail end space by using the obtained tail end space energy consumption prediction model through the controller parameters of the tail end devices, the temperature and humidity sensors, the Internet weather information, the people flow density, the power of the electric appliances and the lighting devices and the house structure parameters in the operation process of the building heating and ventilation system. According to the invention, the training of the tail end space energy consumption prediction model is realized underthe condition that the tail end space energy consumption historical data is missing.

The invention relates to the technical field of measurement, in particular to an agricultural land flatness measurement instrument and method. The agricultural land flatness measurement instrument comprises a supporting frame part, a single-chip microcomputer (1), an ultrasound transceiver (3), a temperature sensor and a digital display tube. According to the supporting frame part, a guide rail supporting leg (11) is connected with a guide rail supporting cross beam (6), and the connecting position is wrapped with a fastening piece (10) and fixed through a handle (5); the guide rail supporting cross beam (6) is matched with a guide rail (8) through a hole; a sliding block (9) is arranged on the guide rail (8) in a sliding mode; the single-chip microcomputer (1) is installed on a single-chip microcomputer main board (7) arranged above the sliding block (9), and the single-chip microcomputer main board (7) is provided with the temperature sensor and the digital display tube; the ultrasound transceiver (3) is arranged below the sliding block (9). The agricultural land flatness measurement instrument can work in a relatively bad environment while not affecting the accuracy of measurement, can carry out multi-point measurement at a time, and is high in efficiency, reliable in data, small in size, easy to assemble and portable.

The invention provides a method for optimizing the resource leasing of a 5G wireless information center network, which can maximize the energy efficiency. The method includes: initializing the parameters of a wireless access point and a mobile terminal, where the wireless access point is provided with a cached storage resource; based on r(j, k) and the initialized parameters, determining the value of j when the APj value of the judgment formula H(j,k) of the MCk is the largest; according to the obtained value j, assigning the MCk to the corresponding APj; and at the same time, according to the obtained value j, updating the mobile terminal correlation matrix x(j, k) and the wireless access point usage matrix yj; determining the Lagrange operators lambda j (I + 1) and vk (i + 1); optimizing the mobile terminal correlation matrix x(j, k) according to the obtained Lagrange operators j (I + 1) and vk (i + 1), wherein i represents the ith iteration; determining optimal step size u (i + 1) for the optimal power allocation and according to the optimal step size u (i + 1), optimizing the optimal allocation pair p(j, k) until the preset convergence condition is satisfied. The present invention relates to the field of mobile communications.

Disclosed are a data transmission method and a base station, the data transmission method comprising: enabling a base station to recieve a first data request of a first mobile terminal, the first datarequest comprising a target data identifier; in response to the first data request, determining whether the target data identifier is in a data transmission record of the base station; if the targetdata identifier is in the data transmission record of the base station, determining a second mobile terminal from the data transmission record according to the target data identifier; acquiring data corresponding to the target data identifier from a second mobile terminal; and sending the acquired data to the first mobile terminal. According to the method, the first mobile terminal does not request data from the network server any more; according to the invention, the pressure of the network server is reduced, the network server does not need to send the same data to different terminal devices, and the channel resource waste between the network server and the base station is reduced, so that the network server can also meet the user data demand at the traffic peak.

The invention discloses a data processing method and system for state estimation based on an improved algorithm. The method comprises the following steps: obtaining multi-source data by utilizing equipment parameters and measurement data; carrying out bad data processing on the multi-source data, and finding and eliminating DAS bad data by utilizing a compatibility analysis strategy; repairing andchecking the bad data required by economic operation analysis and calculation of each distribution network; according to distribution network application analysis requirements, storing the repaired bad data into a corresponding topic database in a classified and compressed manner for observability analysis processing to obtain an observability analysis result; performing virtual measurement on the observability analysis result by utilizing state estimation based on an improved algorithm. The observability and measurement redundancy of virtual measurement of the power distribution network areimproved, the problem of data information loss of the power distribution network is solved, and data requirements and rapid acquisition of advanced application analysis of different power distributionnetworks are met; and a high-precision, complete and reliable power distribution system state is estimated by utilizing power distribution network measurement information.

In order to relieve network pressure caused by sudden increase of local flow in an emergency communication scene, the embodiment of the invention provides a data distribution method and device in an edge cache. The method guarantees high-spectral-efficiency low-delay data distribution during multi-service concurrence, and comprises the following steps: dividing terminal users into a plurality of NOMA groups according to a data distribution mode, namely direct transmission or relay, stored by an edge node, and each NOMA group comprises a direct transmission user and a relay user; the pluralityof NOMA groups are divided into two types according to different channel conditions from the direct transmission users and the relay users to the edge nodes, the channel conditions of the direct transmission users of the first type being good, otherwise, the channel conditions of the direct transmission users of the second type being good; the successful distribution probability of the NOMA groupof the first category and the NOMA group of the second category is determined; and the sending power and spectrum resource allocation of the edge nodes are optimized by taking the maximization of thesuccessful distribution probability of the whole network as a target. According to the invention, the requirements of multiple users for data can be met efficiently, and the probability of successfuldata distribution is improved.

The invention discloses a block chain system comprising a main chain and a side chain, which relates to the technical field of the block chain, comprising a block chain main chain and a block chain side chain, wherein the block chain main chain comprises N block chain nodes; the block chain side chain comprises M block chain nodes; wherein, the M block chain nodes of the block chain side chain area subset of the N block chain nodes of the block chain main chain; in other words, there are M common nodes between the block chain main chain and the block chain side chain, which can be used to process the data stored in the block chain main chain and the block chain side chain, and provide the processing results. On the block chain system, the M block chain nodes shared by the block chain mainchain and the block chain side chain store the complete data on the block chain main chain and the block chain side chain. The data can be further processed on the M nodes, and the processing resultscan be provided to meet the diverse requirements of different industries for the data.

The invention provides a hand-held supervisory system based on Internet of Things and the gas identification technology for a nitrogen fertilizer in soil. The hand-held supervisory system comprises asoil analyzer and a server, wherein the soil analyzer comprises a power module for powering up the soil analyzer, a sensor for acquiring a gas signal of the soil surface layer by use of a gas sensor array, a central processing unit for receiving the signal of the sensor, judging gas concentrations and gas types and figuring out fertilizer contents according to the gas concentrations and fertilizertypes according to the gas types, and a data transmitting module for receiving and sending the signal analyzed and processed by the central processing unit; the server is used for receiving the signal sent by the data transmitting module, storing and analyzing the signal to obtain an appropriate fertilizing amount and a fertilizing matching scheme and sending the scheme to a client. According tothe hand-held supervisory system, the multi-component gas analysis method is adopted, so that the ingredient contents of the nitrogen fertilizer in soil can be analyzed and figured out in real time; therefore, the hand-held supervisory system has very strong timeliness, and further has the advantages that the price is low, the operation is simple and the effect is intuitive.

The invention discloses a cross-border purchase-sale-stock system. The system comprises a warehouse logistics management unit, a financial management unit and a sales management unit. The warehouse logistics management unit comprises a dispatching management module, all parcel modules, a checking function module, a manual warehouse in-out management module and a purchase-sale-stock inventory querymodule, the financial management unit comprises an inventory detail account list module, a purchase-sale-stock-gateway account management module, a purchase-sale-stock data verification and report checking function module and an FBA return management module, and the sales management unit comprises a Removal Order module. According to the present invention, a set of mature purchase-sale-stock historical data restoration scheme is formed, the financial cost accounting and the external auditing are continuously supported, and the data requirements of clients for tax account and auditing are met;whether the invoicing data is accurate or not can be accurately verified; the abnormal data can be timely monitored and corrected; and the data analysis of inventory turnover, warehouse age and inventory can be provided according to the purchase-sale-stock data.

An embodiment of the invention provides a memory access method, device and system and relates to the field of computer system structures. By the memory access method, device and system, the problem of distribution of memory resources in a cluster system is solved and internal communication efficiency of clusters is improved. The memory access method includes steps of judging whether an access address of a memory access command is an offsite memory address or not by receiving the memory access command; if the access address of the memory access command is the offsite memory address, looking up corresponding parameter information of the access address in an external address mapping table according to the external address mapping table and acquiring identification of an offsite node where the access address is located; generating memory request messages according to the parameter information and transmitting the memory request messages to the offsite node so as to notify the offsite node to access an offsite memory according to the memory request messages to obtain request data, completing memory access and generating response messages; receiving and analyzing the response messages to obtain request data by a communication module. The memory access method, device and system in the embodiment are applied to the memory access technology of compute cluster systems.

The invention provides a vehicle-mounted computing information analyzing and processing method, device and equipment, and a storage medium, which are applied to a server, all services and all serviceflows are predefined in the server, and each service flow is correspondingly configured with at least one service. The method comprises the following steps of: receiving vehicle-mounted calculation information of any target vehicle-mounted terminal; determining a plurality of target services corresponding to the target vehicle-mounted terminal; performing data analysis on the vehicle-mounted computing information of the target vehicle-mounted terminal according to a preset data analysis logic of each target service to obtain target information corresponding to each target service; and integrating the target information corresponding to all target services in the target service flow to obtain integrated data of the target vehicle-mounted terminal.

The invention provides an intelligent query system and method based on an iron and steel industry data platform, which can greatly save data search time of a user, reduce data use cost, enable the user to directly express requirements, meet data requirements of different types of users, and improve data use efficiency and experience of the user. The data content is stored in a background management warehouse, the data can be obtained in real time through voice search and a semantic processing engine and can be visually presented in various styles of characters or a combination chart, and the flexibility and the applicability in content presentation are higher; the newly-added data content does not need to be redesigned, laid out and developed on the page, development efficiency is greatlyimproved, and development cost is saved.

The invention provides a data processing method and device, electronic equipment and a storage medium, and belongs to the technical field of computers. The data processing method comprises the following steps of: acquiring real-time production data and a general data table of a data producer; performing comparison processing on the production data and the general data table, and determining target fields, different from original fields in the general data table, in the production data; taking target field values corresponding to the target fields as first data, and taking original field values corresponding to the original fields as second data; and assembling the first data and the second data to obtain target data, and sending the target data to a data consumer. According to the data processing method and device, the electronic equipment and the storage medium of the technical scheme, the target fields corresponding to the production data can be obtained through screening of the general data table, the field values of the target fields and the original field value corresponding to the original fields are assembled to generate the target data, and the generation rate of the target data and the management efficiency of the production data are improved.

The invention provides a method for predicting speed limit information; the method comprises the steps: obtaining a plurality of traffic tracks in a first preset time period, wherein each traffic track comprises a plurality of track points, and each track point is provided with position information and speed information; then, for each traffic trajectory, determining the deceleration behavior data for the traffic trajectory based on position information and speed information for a plurality of trajectory points of the traffic trajectory; based on the respective speed reduction behavior data of the plurality of traffic tracks, determining a candidate position area, and determining features of the candidate position area; and inputting the features of the candidate position area into a target classification model, and predicting the speed limit information of the candidate position area through the target classification model. The invention further provides a speed limit information prediction device, computer equipment and a medium.