36results about How to "Quickly adapt to change" patented technology

The invention is intended to provide an adaptive rate adjustment method of an LPWAN internet of things based on a network condition. The adaptive rate adjustment method comprises the steps of receiving uplink frames sent by a terminal; sampling SNR and RSSI values of latest N frames; making a statistics of a packet loss rate according to continuity of frame serial numbers; making a statistics of loads erl of SF (Spread Factor) sub-channels according to occupied channels and used SFs of the terminal; weighting to calculate an expected DR (Data Rate) <mote> of the terminal; when the packet lossrate of the terminal exceeds a packet loss threshold value in an ADR (Adaptive Data Rate) strategy, performing packet loss rate adjustment; when the packet loss rate of the terminal does not exceed the packet loss threshold value in the ADR strategy, performing normal rate adjustment; sending an ADR command to the terminal, and enabling the terminal to adjust a data transmission rate according toan own strategy after receiving the ADR command and make a response; and if a LoRaWAN server does not receive the response, considering that the sending is failed, and repeating to send till the response is received. The adaptive rate adjustment method has the following beneficial effects: the adaptive adjustment can be performed on the data rate of the terminal according to an own network condition including conditions such as a signal quality index, a channel load and the packet loss rate.

The invention provides a multi-frequency flooding power line carrier communication method. The method comprises the following steps that a power line carrier communication system is initialized, a main station cognizes the work frequency of slave stations, and the main station is communicated with the slave stations through multiple frequencies of data. According to the method achieved based on the frequency cognition and flooding technology, different frequencies are selected according to conditions of different slave conditions / chains, the method adapts to the characteristics of a power line carrier network channel, the access probability of the slave stations is increased, and the network coverage range is improved.

The invention discloses a high circumference cutting machine line cuttable statistical method based on structured modeling. The method comprises the steps of acquiring a high circumference cutting machine line strategy included in an existing stability control device in a target area; analyzing the high circumference cutting machine line strategy, and obtaining basic elements required for modeling; according to the method of the structured modeling, based on the basic elements, establishing a high circumference machine line model covering a target area power grid; acquiring a cutting machine configuration scheme issued by a target area power grid regulation mechanism, according to the cutting machine configuration scheme and the high circumference cutting machine line model, counting the cuttable total amount of the high circumference cycles, and completing the counting of the cuttable amount of the high circumference cutting machine line. The cuttable total amount can be counted according to rounds and regions, the monitoring practical level of the stability control device is improved, and the ability of the power grid to resist risks is greatly improved.

The invention relates to the technical field of ecological management, and provides a reservoir tail hydro-fluctuation belt wetland restoration method based on forest habitat. The method comprises the following steps of S1, selecting saplings: selecting a flooding-resistant large arbor with the height that the tree top can exceed the highest water level by 20-80cm after the tree top is submerged in the highest water level after planting, the large arbor comprises one or more of pond fir, Chinese tipping, taxodium zhongshanha and taxodium falcatum; and S2, planting, wherein planning small-sized trees resistant to water logging along a riparian zone of a reservoir tail hydro-fluctuation belt, and planning the large arbors below small arbors at a certain distance. According to the method, the spatial heterogeneity of the reservoir tail hydro-fluctuation belt is improved, and the original vegetation condition can be quickly and completely recovered after the reservoir tail hydro-fluctuation belt goes through a long-time highest water level environment.

The invention discloses an assistant of a tire mounting / demounting machine. A main arm of the assistant is hinged to a sliding body with a V-shaped guide structure; driven by an actuator, the sliding body longitudinally slides along a square guide rail; the sliding body mainly consists of a front half body, anti-friction sheets and a rear half body; two lateral sides of the sliding body are balanced in stress and good in guiding performance, so that the problem that in the prior art, lateral sides are bad in guiding performance is solved. A main-arm locking mechanism with an external unlocking air cylinder is arranged on the main arm, and the external inching unlocking air cylinder is arranged on the main arm; the unlocking air cylinder is large in cylinder diameter and quick to unlock, the assembling ability is improved, and the unlocking air cylinder is convenient to maintain and long in service life. Quick-changing tire pressing sleeves are respectively arranged under two branch arms hinged to the main arm, so that the assistant can be quickly adapted to the change of tire types during maintenance.

The invention relates to a self-optimization method for a concentrated clustering type self-organization network (SON), belonging to the field of digital communication. The method comprises the following steps of: gathering cells with stronger relativity into a cluster, arranging SON entities in the cluster and a network management center, coarsely adjusting each cluster firstly, determining whether the parameter such as antenna tilt, antenna azimuth or downlink transmission power of each cell in the cluster needs to be adjusted, and if the parameter needs to be adjusted, outputting a parameter adjusting instruction; adjusting relevant parameters of the corresponding base station in the cluster; after coarse adjustment, computing the capacity and coverage indexes in the cluster by the SON entity in each cluster according to the adjusted parameters; and inputting the capacity and coverage index parameters in each cluster into a SON control ring of the network management center by the network management center, then evaluating the integral capacity and coverage indexes of each cluster, and determining whether to finely adjust the relevant parameters of all base stations in the corresponding clusters. In the invention, coarse adjustment and fine adjustment are carried out sequentially, thereby better achieving global optimization.

The invention discloses a resource sensitive property optimizing method towards an application server and a system thereof and pertains to the computer software technical field. The optimizing method comprises the steps: an application server physical resource management frame and a logical resource management frame are set up firstly, and the association relationship between the two resource management frames and the conditions for resources to keep a stable state are set; and then the states of the physical resources and the logical resources are monitored periodically and resource redistribution process is generated and executed according to the monitoring results and the conditions for the resources to keep a stable state till the resources meet the conditions. The system comprises a global explorer, a local explorer and a physical explorer. Compared with the optimizing method with property measurement as objective, the optimizing method regards resource state as objective and hasadvantages of stable resource state, effectively avoiding the bumping problem during the property optimizing process and improving the property stability of the application server as well as rapidly accommodating to the change of resource environment and improving the sustainability of the resource redistribution.

The present invention relates to an echo cancellation system and method thereof, the system includes a main filter module, a secondary filter module, a state module and an update module, wherein the main filter module includes a main filter and a main subtractor, and the main filter configured to filter the far-end signal x(n) based on a main filter filter parameter, the main subtractor subtracts the echo estimation signal output by the main filter and the near-end signal d(n) to obtain the main subtractor error signal e 1 (n); the secondary filter module is configured to provide a secondary filter echo path parameter h by performing adaptive filtering on the far-end signal x(n). 2 The state module receives the far-end signal x(n) and the near-end signal d(n), configured to determine the state of the far-end signal x(n) input to the main filter module; the update module is configured to at least Main filter filtering parameters are updated based in part on the state of the remote signal x(n) input to the main filtering module. The invention can effectively eliminate the echo, and improves the response speed of the echo elimination.

The invention is intended to provide an adaptive rate adjustment method of an LPWAN internet of things based on a network condition. The adaptive rate adjustment method comprises the steps of receiving uplink frames sent by a terminal; sampling SNR and RSSI values of latest N frames; making a statistics of a packet loss rate according to continuity of frame serial numbers; making a statistics of loads erl of SF (Spread Factor) sub-channels according to occupied channels and used SFs of the terminal; weighting to calculate an expected DR (Data Rate) <mote> of the terminal; when the packet lossrate of the terminal exceeds a packet loss threshold value in an ADR (Adaptive Data Rate) strategy, performing packet loss rate adjustment; when the packet loss rate of the terminal does not exceed the packet loss threshold value in the ADR strategy, performing normal rate adjustment; sending an ADR command to the terminal, and enabling the terminal to adjust a data transmission rate according toan own strategy after receiving the ADR command and make a response; and if a LoRaWAN server does not receive the response, considering that the sending is failed, and repeating to send till the response is received. The adaptive rate adjustment method has the following beneficial effects: the adaptive adjustment can be performed on the data rate of the terminal according to an own network condition including conditions such as a signal quality index, a channel load and the packet loss rate.

The invention relates to the technical field of underground passage construction, in particular to a rapid mechanized construction method of a prefabricated assembly type underground corridor. The rapid mechanized construction method comprises steps as follows: a pipe segment assembling device is assembled in a foundation pit, and prefabricated corridor pipe segments are hoisted to the pipe segment assembling device; a first ring pipe segment is pushed to a corridor starting end in the foundation pit, the ground in front of the foundation pit is excavated, and a corridor mounting groove is formed and supported; the pipe segment assembling device is driven by reaction generated through pushing of the pipe segment to move forward to a mounting location of a second ring pipe segment, the second ring pipe segment is pushed to be connected with the first ring pipe segment, the two ring pipe segments are assembled; residue soil formed by excavation of the corridor mounting groove is conveyed to the position above the first ring pipe segment and used for landfilling the first ring pipe segment, and the process is performed alternately sequentially until all the pipe segments are assembled and landfilling is completed. The method has the advantages of small risk, high construction speed, smaller influence on traffic, safe and reliable construction process and low comprehensive construction cost.

The invention belongs to the technical field of video image processing, in particular to a method for identifying abnormal behavior of people based on space transformation. The method steps are: background modeling, used to obtain a stable background that can adapt to the environment; foreground extraction, used to extract foreground information; using the background frame obtained by background modeling as the background, using the current frame and its For comparison, according to the setting of the threshold, the corresponding foreground binarized image is obtained; 3D space calibration is used to convert the 2D plane into a 3D height space; foreground behavior recognition is used to distinguish the abnormal behavior of the foreground information. The invention has high anti-interference and recognition accuracy; meanwhile, compared with other recognition algorithms realizing the same function, it has less computation and faster running time. The invention can greatly reduce the cost.

The invention relates to a comprehensive monitoring system meeting the high-performance service requirements of GIS in the cloud. Including: infrastructure cloud platform module, including various cloud platforms operated by the monitoring system, providing monitoring objects for the monitoring system; cloud GIS service underlying module, running on the infrastructure cloud platform module, used to execute agents for GIS cloud services The monitoring adopts the minimum reduced instruction set mode, relying on the support of different network protocols, can successfully obtain the relevant data of different cloud platforms being monitored; the cloud GIS service operation and maintenance center module runs on the cloud GIS service underlying module, and uses To directly provide users with the operation and maintenance and authorization management of infrastructure and GIS cloud services. Therefore, the monitoring system does not depend on a specific infrastructure cloud platform or any specific equipment, and has multiple cross-platform features, which can meet the ever-expanding industry application requirements after GIS cloudification.

The invention relates to the technical field of unauthorized verification, and provides an unauthorized verification method and device, equipment and a storage medium, and the unauthorized verification method comprises the steps: receiving a user request sent by terminal equipment, and determining a target service interface corresponding to the user request; under the condition that a section layer is configured for the target service interface in advance, obtaining a target unauthorized verification protocol configured for the target service interface through the section layer, and the target unauthorized verification protocol comprising at least one unauthorized verification parameter; and through the section layer, according to the at least one unauthorized verification parameter, carrying out unauthorized verification on the user request. By implementing the application, decoupling with a business layer can be realized, and pollution of service codes is avoided.

The invention discloses a voice jitter buffer adjustment method and device, wherein the method includes: acquiring the network jitter delay and buffer delay of the voice data to be played; performing stall detection on the voice data, and determining the voice no-reference score ;According to the buffer delay and voice no reference score, correct the current network jitter delay to obtain the target buffer delay; combined with the target buffer delay, current buffer delay and voice no reference score, according to the preset strategy The size of the jitter buffer is adjusted. The embodiments of the present invention can appropriately reduce network jitter delay while ensuring voice quality, enable Internet voice calls to quickly adapt to network changes, and improve the quality of voice calls for users on the mobile Internet.

The invention relates to an office data checking preparation method, which is applicable to the telecommunications industry and has the following steps: (1) formatting the standard data: formats the standard data with changing format and standardizes the data into a standard data template, according to the settable corresponding relation between the standard data and the standard data template; (2) analyzing the present network data: adopts a regular expression to format the present network data with various formats and standardize the data into the corresponding present network data template; (3) checking the data: compares the difference between the data in the standard data template and the data in the present network data template through configurable comparison rules, and lists the checking results; (4) preparing the data: makes a template and generates the corresponding script according to the checking results and the preparation rules. The method of the invention has the advantages that the method can rapidly adapt to the changes of standard data and achieve the data checking of the exchangers of various manufacturers; besides, the method has high expansibility and makes fast response to the checking of business changes and the newly increased checking preparation business.

The invention discloses an uplink adaptive multiple rate (AMR) regulation and control method and an AMR regulation and control system. The method comprises the following steps of: acquiring a proper AMR code rate list according to a transmission format set of network configuration in the process of establishing the current services; acquiring the current transmitting power of the terminal and the currently used AMR code rate; regulating and controlling that the currently used AMR code rate is reduced by a level in the AMR code rate list when the transmitting power reaches the maximum transmitting power; and regulating and controlling that the currently used AMR code rate is raised by a level in the AMR code rate list when the transmitting power does not reach the maximum transmitting power and the currently used AMR code rate is positioned at a lower level in the AMR code rate list. The uplink service quality is predicted by utilizing the capacity of the transmitting power of the terminal, so that the control time delay is reduced, and whether the uplink transmitting power is limited is predicted by utilizing the transmission power control (TPC) distributed by the statistical network; and therefore, the AMR code rate is regulated and controlled, the aim of timely improving the quality of speech is fulfilled.