42 results about "Arrival process" patented technology

The invention discloses a closed origin and arrival construction method of a shield machine, comprising the following steps: (1) using a tight continuous wall enclosure structure as a plain concrete continuous wall; (2) opening slanting periphery observation holes on a cavity door to observe the stable and leak conditions of soil bodies; (3) chiseling concrete and steel bars on the cavity door sectionally, and using plain concrete to replace the original continuous wall synchronously; (4) installing a receiving device of the shield machine, and applying pre-applied force; (5) filling materials in a steel sleeve barrel of the receiving device to a request height; (6) testing the pressure resistance of the steel sleeve barrel; (7) carrying out the digging construction of the shield machine until a shield tail of the shield machine enters or separates the cavity door; and (8) decompressing and disassembling the steel sleeve barrel of the receiving device. The closed origin and arrival construction method of the shield machine is safe, economical, efficient and simple, changes uncontrollable factors into controllable factors in a shield origin and arrival process, greatly reduces risks in a construction process, better controls land subsidence and provides the effectively ensured closed origin and arrival construction method of the shield machine.

The present invention broadly contemplates addressing QoS concerns in overlay design to account for the last mile problem. In accordance with the present invention, a simple queuing network model for bandwidth usage in the last-mile bottlenecks is used to capture the effects of the asymmetry, the contention for bandwidth on the outgoing link, and to provide characterization of network throughput and latency. Using this characterization computationally inexpensive heuristics are preferably used for organizing end-systems into a multicast overlay which meets specified latency and packet loss bounds, given a specific packet arrival process.

The invention provides a method and an apparatus used for realizing commodity state change prompting. The method comprises the following steps: a template used for collecting commodities on a website is installed on a client side; when a user accesses a commodity page, information in the commodity page is detected according to the template; when the information in the commodity page is matched with information in the template, a collection prompting symbol is displayed in the commodity page; when a trigger signal of the collection prompting symbol is received, all the information corresponding to the commodities is extracted from the commodity page according to the template; when the collection is finally carried out, in the information corresponding to the commodities, if the stock is available, a price monitor process begins; and when the collection is finally carried out, in the information corresponding to the commodities, if the stock is unavailable, a commodity arrival process begins, and after the commodities arrive, the price monitor process begins. According to the method and the apparatus used for realizing the commodity state change prompting, more flexible and intelligent shopping information are provided for users, and shopping selection by users with a better cost performance is provided with convenience.

A system and method for modeling supervisory control of heterogeneous unmanned vehicles through discrete event simulation is provided. Generally, the system contains a memory and a processor configured by the memory to perform the steps of: simulating events in the system; simulating arrival processes for the events in the system; simulating how long a human operator takes to respond to the simulated events in the system, where the time that the human operator takes to respond to a simulated event is referred to as a service time; and prioritizing the events to be handled by the human operator, wherein the system models human operator involvement in the unmanned vehicle system.

The invention relates to a high-frequency angular vibration rotary table sliding-mode control method based on iterative learning and belongs to the technical field of measurement and control. The method comprises the steps of conducting mathematical modeling on a permanent magnet synchronous motor, designing a sliding-mode variable structure control law and an iterative learning control law, and conducting sliding-mode control based on the iterative learning control law. Due to the fact that the sliding-mode control arrival process is replaced with the iterative learning control law learning process, the frequency response bandwidth of an angular vibration rotary table is increased, high-frequency inertial navigation device testing precision is improved, high-band periodic signal tracking precision of the angular vibration rotary table is improved, the influence of periodic disturbance and stochastic disturbance on a system is effectively restrained, the responding speed of the system is high, the tracking error is small, and robustness is higher.

The invention relates to a dynamic emergency evacuation method for failure of urban rail transit lines, which relates to the technical field of rail transit control. The problem of secondary propagation of stranded passenger flow in network caused by limited evacuation capacity of single station is solved. The method comprises: attribute set and running state set of each station in the network being established; analyzing station passenger flow state ; SAS software being used to predict the passenger flow and simulate the arrival process of the passenger flow; determining evacuation starting point and evacuation end point; constructing the emergency rail transit cooperative evacuation network; constructing the dynamic path selection model in the range of destination; determining the best evacuation path; determining the number of emergency buses required and the interval between the buses; determining the distribution of passenger flow to be evacuated to the evacuation subway station;according to the parameters of rail transit train, determining the train transport capacity, combined with the passenger flow of subway station, to allocate the resources of train transport capacity,to formulate the train operation plan in emergency state. The invention increases the passenger flow evacuation capacity of a single node to improve the efficiency of network evacuation.

The invention relates to a method for analyzing reliability of component software considering a failure recovery process based on an HISQM (Hybrid Infinite Server Queue Module), which relates to a method for analyzing the reliability of software and overcomes the defect that in a traditional module and method based on an architecture, only a failure detection process is considered, while the failure recovery process is ignored. Based on a queuing theory, the HISQM is used for modeling the failure recovery process in a component software integration test. The component software integration test process comprises the failure detection process and the failure recovery process. A debugging strategy of the integration test combines the two random processes. The HISQM is formed by a plurality of independent ISQ (Infinite Server Queue) systems, and each ISQ system is used for describing a recovery behavior of component failure distributed to the system according to the debugging strategy. An arrival process and a leaving process of the HISQM are analyzed to be respectively corresponding to the failure detection process and the failure recovery process in the component software integration test. An NHPP (Non-Homogeneous Poisson Process) software reliability growth module is used for modeling the failure detection process of the component software.

The invention provides a skyrail noise processing method and device, an apparatus and a storage medium. The noise processing method comprises: acquiring a noise signal of a skyrail and a place where the skyrail operates, and analyzing the noise signal to obtain the frequency of the noise signal; when it is detected that the skyrail is in an inter-station operation process and the noise signal includes a high-frequency noise signal having a frequency greater than a first preset frequency, generating and outputting a sub-harmonic sound signal according to the frequency of the high-frequency noise signal; and when it is detected that the skyrail is in an arrival process or a departure process, outputting a corresponding masking sound signal. The method uses different noise elimination modes according to the different locations of the skyrail, thereby creating a good sound environment and further improving passenger comfort.

The invention discloses a vehicle-mounted self-organization network performance analysis method based on millimeter waves. The method comprises steps of establishing a vehicle-mounted self-organization network based on millimeter waves, wherein vehicle nodes in the vehicle-mounted self-organization network based on millimeter waves are distributed in a unidirectional straight road, the arrival process meets the Homogeneous poisson process, the communication link is divided into a sighting distance link and a non-sighting distance link, and the channel fading meets the index distribution, and establishing an analysis model of a millimeter wave vehicle-networking self-organization network; according to the millimeter wave vehicle-networking self-organization network, calculating the networkcoverage probability, the transmission capacity, the region frequency spectrum frequency and the reachable speed coverage probability. Compared with the prior art, by comprehensively considering the effects of vehicle node space distribution, shade effects, channel shading and same-frequency interference effect factors in a wireless communication process, and fully using characteristics of narrowwave beams of millimeter waves and high directivity, the power of signals is improved and same frequency interference is inhibited; and an actual communication scene of the vehicle-networking self-organization network can be well reflected.

The invention relates to the technical field of communications, and in particular relates to a multiuser cooperative spectrum sensing method based on double-threshold. The multiuser cooperative spectrum sensing method based on the double-threshold comprises the following steps: a secondary user constructs a statistics judgement quantity according to a received data sample and a parameter of a primary user signal random arrival process; the secondary user constructing corresponding double thresholds according to different false alarm probabilities; the sizes of the statistics judgement quantity and the low threshold are judged, and different judgement results are sent to a fusion center; the fusion center fuses a first judgement result, a second judgement result and a third judgement result through an OR principle so as to obtain a final judgement result. By use of the double-threshold method disclosed by the invention, not only can be the problem of the primary user signal random arrival recognition solved, but also is data quantity saved in comparison with the soft judgement cooperation; the result is high in accuracy in comparison with the hard judgement cooperation, and the performance is greatly improved in the premise of guaranteeing the accuracy.

The invention relates to a network packet loss rate boundary characterization method under a multiple-data stream fusion mechanism. The method is characterized by comprising the steps of designing an arrival model, a service model and a corresponding boundary function on the basis of the distribution characteristics of flow backlog, modeling a coding node based on a fusion service mechanism, deriving the boundary function and the arrival curve of the node in a phased manner, and establishing the corresponding relationship between the system packet loss rate boundary performance on one hand and the system cache capacity, the data flow arriving the node, the service ability and the quality of service demand on the other hand based on the algebra theory under both conditions of full-fusion opportunity and no-fusion opportunity, thus getting the packet loss rate boundary performance under multiple-data stream fusion service. According to the invention, the arrival process and the service process are modeled based on a cumulative flow center arrival curve and a strict random service curve for the first time, and the behaviors and characteristics to which the two different random processes pay close attention are embodied. The method is more practical, and meets the needs of operating units for network configuration.

The invention discloses a method for estimating arrival rate of vehicle at signal intersection. The method comprises the steps of (1) calculating the degree of association between the upstream and downstream signal intersections, wherein the upstream and downstream signal intersections include an independent signal intersection and an associated signal intersection, (2) analyzing the arrival process of a vehicle at the independent signal intersection and the associated signal intersection separately to obtain the arrival laws of the vehicle, (3) analyzing the discrete situation of a fleet at the associated signal intersection, and (4) establishing an independent signal intersection vehicle arrival rate estimation model and an association signal intersection vehicle arrival rate estimationmodel separately according to the arrival laws of the vehicle at the independent signal intersection and the associated signal intersection to calculate the vehicle arrival rate.

The invention relates to a virtual mapping method based on a simulated annealing algorithm under a super-intensive environment. The method comprises the following steps: firstly, initializing a super-intensive network system, and establishing a micro-base station set B and a location set Ab; secondly, establishing a service arrival model through service arrival process and service duration, constructing a channel distribution matrix according to the service arrival model, and computing a signal-to-interference ratio of each user through the channel distribution matrix and an interference model, and then acquiring the network throughput capacity of each user; and virtualizing wireless resources of a macro base station and micro base stations to form a wireless spectrum pool; and finally, distributing spectrum slices to various micro base stations according to a user request, thereby serving for the user. The virtual mapping method disclosed by the invention has the advantage that the spectrum resource is virtualized, the maximum network throughput capacity is satisfied through the optimization algorithm, and the dynamic optimal wireless frequency resource configuration is realized.

The present invention discloses a residual life prediction method of rotation machinery under an influence of a health management behavior. The method concretely comprises the following content: health management behavior arrival process mathematical description and random degeneration modeling under the influence of the health management behavior; solution of the first arrival time probability distribution of the random process and the predicted residual life distribution; model unknown parameter estimation and residual life prediction result updating; according to the health management behavior influence, description of the random degeneration process of the rotation machinery through the following random process as shown in the description, wherein a parameter as shown in the description is a composite Poisson process, and description of the frequency of the external health management behavior arrival. The residual life prediction method of rotation machinery under the influence ofthe health management behavior comprehensively utilizes the performance monitoring data and operation information in the device operation process, quantificationally discloses the influence of the health management behavior on the residual life prediction result through the performance degeneration modeling of the device under the influence of the health management behavior and the residual life prediction method, and has the innovation of the research problem level.

A method and system for selecting an optimal DRX configuration for a User Equipment (UE) in a communication network is provided. An expression for expected maximum delay experienced by a packet arriving during the off-duration is derived for any packet arrival process (either known arrival process or unknown arrival process). Further, the method for computing the active duration in any DRX cycle with the expected delay to be less than a given threshold by considering all the timers in the communication network is provided. The DRX cycle configuration with minimum active duration is selected as optimal DRX configuration by the UE and UE informs the optimal DRX configuration to the network.

The invention relates to the technical field of discrete machining MES warehouse management systems. The invention further discloses a discrete machining MES product warehouse management system. The machining MES product warehouse management system comprises a purchasing and arrival process, a production completion process, a dispatching completion process and a delivery application process, inspection is carried out after purchasing and arrival and before raw material warehousing, and after raw material inspection is qualified, raw materials are warehoused, the raw materials are inspected tobe unqualified, and a raw material disqualification processing process is carried out. According to the discrete machining MES product warehouse management system, a purchasing and arrival process, aproduction completion process, a dispatching completion process and a delivery application process are subjected to respective process design, the warehouse management is effectively optimized, detailed processes are made for product production, material purchasing and application, the system is different from a traditional warehouse management process, statistical data of warehouse articles can be known more clearly, and the warehouse management efficiency and the article management standardization degree are improved.