284results about How to "Guarantee high efficiency" patented technology

The invention provides a visual 3D taking and placing method and system based on a cooperative robot. The method comprises the steps that internal and external parameters of a camera of a binocular structured light three-dimensional scanner are calibrated; the hands and eyes of the cooperative robot are calibrated, and a calibration result matrix is obtained; a three-dimensional digital model of to-be-taken-and-placed target objects is collected; the calibrated binocular structured light three-dimensional scanner is adopted to obtain point cloud data of the to-be-taken-and-placed target objects which are stacked in a scattered mode, and the point cloud is segmented to obtain scene point clouds of the multiple to-be-taken-and-placed target objects; the to-be-taken-and-placed target object with the highest grabbing success rate is selected as a grabbing target according to the scene point clouds of the multiple to-be-taken-and-placed target objects; the three-dimensional digital model ofthe grabbing target and scene point pair features are registered, pre-defined taking and placing pose points are registered into a scene, and a registered pose estimation result is obtained and serves as a grabbing pose of the grabbing target; and a preliminary grabbing path track of the cooperative robot is planned. The target object can be accurately recognized, and the grabbing positioning precision is high.

The invention discloses a cloud platform monitoring service system and method based on big data analysis, wherein the system comprises a data acquisition layer, a big data processing layer and a web application layer; the data acquisition layer comprises an acquisition tool and a special acquisition program; the acquisition tool is used for performing data acquisition of a host, a memory and network resources; the special acquisition program is used for acquiring data of the web application layer; the big data processing layer is used for analyzing various data acquired by the data acquisition layer, generating operation and maintenance indexes, and writing the generated operation and maintenance indexes in a database; and the web application layer reads data from the database, and displays or manages the data at the front end. By means of the cloud platform monitoring service system and method based on big data analysis provided by the invention, due to the intelligent big data analysis result, health indexes and intelligent suggestions for a food security electronic traceable cloud service platform can be provided for managers; and thus, decision aids can be provided for the managers.

This invention relates to a variable stroke engine, in addition to its working method, which belongs to vehicle engine technique field. The engine comprises six cylinders, EGR, exhaust-gas turbocharger system, four strokes discharge distributing valve, exhaust duct, bent axle piston and electrical controlling unit. when working, it needs to decide whether the two stroke cylinders join to work with the jar cutting technique according to different power, making the engine switch in different working condition; the six cylinders will bedding-in work through each inlet distribution valve to increase pressure and power output. Said invention can be used in transporting vehicle such as tank armored vehicle, machineshop truck needs to provide large power output and so on.

The invention discloses a particle swarm algorithm-based virtual-machine deployment method under a cloud environment, and belongs to the field of resource scheduling under cloud computing environments. For solving problems of only carrying out optimization of a single objective and lacking consideration of multiple objectives; the invention provides the particle swarm algorithm-based virtual-machine deployment method under a cloud environment. According to the method, deployment mapping between virtual machines and physical machines is established at an IaaS (Infrastructure as a Service) layer. The method of deployment mapping includes: a user-oriented virtual-machine deployment method, which includes receiving an application of a user for a virtual machine, and deploying the same to an objective physical-host on the basis of an improved multi-objective-optimization particle swarm optimization algorithm of congestion degree judgment; and a platform-oriented virtual-machine dynamic-management method, which includes deploying a virtual machine to an objective physical-host, and then judging whether status of the objective physical-host is above or below a normal threshold value, anddetermine a mapping relationship of the objective physical-host and the virtual host on the basis of an improved multi-objective-optimization particle swarm algorithm of sharing degree judgment. The virtual-machine deployment method is used for deploying the virtual machines on the objective physical-hosts.

The invention relates to a distribution method of threshold keys of a mobile Ad hoc network (MANET). The method is characterized in that: a multiple signcryption algorithm, which is based on identity and is suitable for safety requirements of an MANET, is provided; and then the multiple signcryption algorithm is applied to key management of the MANET, and a safe and high-efficient distribution method of the threshold keys of the MANET is provided. According to the invention, a multiple signcryption technology is employed. Therefore, reliability of threshold key management of the MANET is increased; the problem that a node of a service requestor is required to have a plurality of neighboring service nodes with a jogging step in the prior art can be solved; the key distribution that is carried out jointly by service nodes is allowed; and thus the safety and the high efficiency of threshold key distribution of the MANET can be ensured well.

The invention discloses a business opportunity mining method based on an enterprise portrait, and the method comprises the steps: obtaining structured, semi-structured and unstructured mass data through Internet data and enterprise basic data, carrying out the preprocessing of the data, and forming an enterprise service data center on the basis of the data; dynamically matching deduplication and user basic information through a system to form a unique ID of the whole network of the user; integrating and cleaning the data of each dimension of the enterprise, and binding the data with the uniqueID of the enterprise to form a portrait system; carrying out model training through multi-dimensional enterprise portraits and enterprise historical order data, and improving the user conversion rateand the repurchase rate; enabling different portraits to correspond to different recommendation rules, pushing proper products to enterprises in time, and pushing business opportunities to matched business personnel through an intelligent matching algorithm; obtaining sales feedback data in time through buried points, and building a business opportunity mining evaluation model; and performing secondary optimization on the business opportunity mining model in combination with results of machine learning and business personnel feedback information.

The invention relates to a method and a system for parsing dependency of noun phrases. The method includes the steps: 1 training a weight vector and an SVM (support vector machine) classifier based on a language material database to obtain a stable weight vector and a stable SVM classifier; 2 receiving and preprocessing the phrases to be analyzed to obtain at least two terms in specified formats; 3 analyzing all the terms to obtain a dependency parsing tree. The method can be decomposed into two steps: firstly, recognizing complicated noun phrases in a sentence and parsing dependency by the method; secondly, replacing the complicated noun phrases in the original sentence by an obtained substructure to reduce complexity of the sentence. As an algorithm is an improved simple side priority algorithm, high efficiency of the algorithm is kept. As the noun phrases are short and not obvious enough in characteristic, the SVM classifier is used for determining a dependency direction, and effectiveness of the algorithm is ensured.

The invention relates to message switching equipment for networked settlement of social security and medical insurance. The message switching equipment comprises a plurality of groups of data switching modules which are connected with one another, wherein each data switching module comprises an input unit, an authentication unit, a processing unit, an underlying communication unit, a network segment configuration unit, a journal unit and an output unit, and is connected with a data transmission network or an application server for data transmission and data switching. The message switching equipment adopts a four-layer structure, namely, asocial security and medical insurance networked settlement interface, a data switching layer configuration management device, a central data switching and processing unit and a message switching operation system. The invention aims to achieve real-time networking and unified settlement of a larger administrative region, utilizes the centralized data switching application mode to achieve regional social security and medical insurance networked settlement service, provides a reliable data switching mechanism for social security and medical insurance networked settlement, ensures high efficiency of the networked settlement and data switching, and has a favorable interface expansibility.

The invention discloses a method for reliably improving time synchronization precision based on an IEEE1588 protocol. The method comprises a master clock sends an IEEE1588 synchronization message every two seconds, and a slave clock, based on the content of the protocol, carries out synchronization; within the two second interval, the master clock sends a precision synchronization message every 100 milliseconds, wherein the message only comprises starting synchronization identification so as to reduce network overhead; the slave clock regards the time difference of the arrival of the two precision synchronization messages being 100 milliseconds; a slave clock device is provided with a storage device and a counter, wherein the storage device saves a value N, and the value is the accumulation times of the counter in the 100 milliseconds under the theoretical work frequency; when the next precision synchronization message arrives, the slave clock compares the N and the true value of the counter, and the time of the slave clock is adjusted based on the difference value of between; and thus the problem of generation of master clock and slave clock drift due to no synchronization measure within 2 seconds is solved, and the time synchronization precision is further improved.

A first purpose of the present invention is to provide a fuzzy comprehensive evaluation method for safety risks of chemical hazards in a food. The method comprises the following steps: S1, detecting the content of each chemical hazardous substance in the food, determining the evaluation value of each chemical hazardous substance, and constructing an evaluation factor set; S2, establishing a comment set of fuzzy comprehensive evaluation: evaluating the food safety risk by taking the national limit standard MRL of food safety as an evaluation standard and adopting a zero/micro, low, medium, highand ultrahigh five-level scaling method; S3, taking the evaluation value of each chemical hazardous substance in step S1 as a calculation basis, and determining the weight of the multi-level risk factor by adopting an entropy algorithm, wherein the original detection data normalization method in the step S1 is revised by adopting a fixed coefficient method; and S4, calculating the safety risk comprehensive evaluation index FSI of the chemical hazard substances at all levels in the food by adopting a fuzzy comprehensive evaluation technology. The calculation method is objective and unified, and participation of subjective factors is effectively avoided.

The invention discloses a method for improving penetration rate and stability of STUN-P2P through universal plug-n-play (UPnP). Port mapping request is sent to network address translation (NAT) through an UPnP port mapping client-side. If the port mapping request succeeds, port mapping successively established by the UPnP on the NAT is fed back to nodes. Established port mapping is transmitted to a STUN client-side to as to establish heartbeat message connection with an STUN server. If feedback data cannot be obtained, the STUN client-side is started to be connected with the STUN server to obtain ports. The nodes acquire external ports of the NAT from the position of the STUN client-side. The nodes are exchanged with peer nodes about external addresses and ports established on the NAT through an XML-based messaging and presence protocol (XMPP) or a session initiation protocol (SIP). The method for improving the penetration rate and the stability of the STUN-P2P through the UPnP has high efficiency of the UPnP and the penetrability of the STUN, enables connection success rate of the P2P to be improved and to be fast and stable, improves the stability of connection between network devices and users, thereby improving zero configuration of the nodes or using practical applicability of plug and play devices.

The invention discloses a concurrent transmission method of a uniform interface test of a power consumption information collection system. The method comprises the following steps: using a sum of a to-be-sent data transmission request amount and a transmission data size in a last period as a to-be-transmitted data request amount in the current period; calculating a load estimation value according to the to-be-transmitted data request amount and the maximum transmission amount of a transmission path; separately calculating an available bandwidth and a congestion degree according to the feedback information of the data request of the transmission data size in the current period; adjusting the to-be-sent data transmission request amount in the next period adaptively and dynamically according to the available bandwidth, the congestion degree and the load estimation value depending on an adjustment strategy; and performing optimization and adjustment on the segmentation threshold of a load factor based on a dynamic plan. The concurrent transmission method has the beneficial effects that the dynamic adjustment of key segmentation threshold of the data transmission request amount based on the optimum control algorithm, and the high efficiency of concurrent processing of test data is ensured.

The invention provides a dual-network redundancy link system and a communication node, which relate to the field of communication control. The system comprises a master station and a slave station, wherein the master station comprises a first control device and a second control device in communication connection; the first control device and the slave station are connected to form a first ring network topology structure; the second control device and the slave station are connected to form a second ring network topology structure; the slave station comprises at least one communication node, and two communication links exist between the communication node and the master station or other communication nodes; the communication node comprises two communication units, the communication unit comprises a communication chip and a control chip which are electrically connected, and the communication chip is used for communication connection with other communication nodes or the first control device or the second control device through one of the two communication links according to a selection control command of the control chip. Thus, the system at most allows three communication links to fail, thereby greatly improving the reliability of the system and meeting link redundancy and controller redundancy.

Embodiments of the invention provide a method for automatically generating crew schedules. The method comprises the following steps of: obtaining train number running moment data; determining a shifting room and a train depot dispatching position; traversing the train number running moment data to obtain all the pieces of train number running moment data corresponding to the determined shifting room and train depot dispatching position, and generating train number arrangement sequence data; carrying out automatic scheduling according to the train number arrangement sequence data and a preset shifting rule so as to generate shifting sequence data; obtaining an identifier of a steward, and generating a crew schedule according to the identifier and the shifting sequence data so that the steward can execute a crew task according to the crew schedule. According to the method provided by the invention, crew schedules are automatically generated, so that the schedules are fairer and more reasonable, powerful guarantee is provided for the effectiveness and safety of crew management, and the integral level of rail traffic crew management is improved.

The invention discloses a switch redundancy system for a data storage platform. The switch redundancy system for the data storage platform comprises a gateway, multiple switches, a storage and multiple servers; the gateway is used for connecting an intranet to an extranet; all the switches are connected to the gateway, and used for transmitting data between the intranet and the extranet in a mutual backup manner; the storage is used for storing data; and all the servers are connected to the storage, and used for accessing data from the storage in a mutual backup manner, wherein at least two independent physical connections are established between each switch and each server. By means of the switch redundancy system for the data storage platform disclosed by the invention, a high-redundancynetwork capable of improving the user experience can be constructed; and the robustness, the high efficiency and the reliability of the network can be ensured.

The invention provides a waste heat recovery system of a water injection screw air compressor. The waste heat recovery system comprises a heat exchanger, an oil temperature control system, a constant temperature water supply system, an oil cooler which is connected with the oil temperature control system and a cooling water control system which is connected with the oil cooler, wherein the oil temperature control system and the constant temperature water supply system are connected with the heat exchanger; the oil temperature control system comprises an oil temperature sensor, a three-way control valve and an oil temperature control device which is connected with the oil temperature sensor and the three-way control valve. Compared with the prior art, the waste heat recovery system of the water injection screw air compressor can monitor the temperature of lubricating oil and circulating water by a sensor technology in real time, and can also control and adjust strictly. The damage to a compressor machine which is caused by too high oil temperature is avoided, the electricity consumption of a water pump is reduced, high efficiency and stability for the operation of the equipment are ensured, and the purpose of energy saving is achieved.