95results about How to "Easy to install and deploy" patented technology

The invention discloses a method for fast constructing Hadoop cluster based on container cloud technology. The method comprises the following steps: (1) determining selected physical server number according to actual demand, regarding the entire selected physical server as a cluster, and assigning a master node of the cluster, and distributing actual deployment nodes, namely as the slave node; (2) installing a CentOS7 operation system for each physical server in the cluster; (3) installing and starting a container orchestration service Kubernetes and the network service Flannel on each master node of the cluster by use of a yuminstall command; (4) installing MySQL database, a mirror image warehouse service and management portal; (5) logging a management portal interface by use of an administrator account, establishing a user; and logging the management user by use of the established user, creating the cluster environment of the user, and constructing a Hadoop cluster.

The invention discloses an IOT (Internet of things) sensing family cloud platform system which comprises an IOT sensing family cloud platform and a family sensing network which are connected by a network. The family sensing network comprises various family sensing equipment, a plurality of access adapters and a family IOT intelligent terminal which are networked by a wireless transmission module with an intelligent self-networking function; the family IOT intelligent terminal is used for connecting the IOT sensing family cloud platform with the family sensing network as a gateway; and the IOT sensing family cloud platform comprises a platform system infrastructure, an operation management system, a family sensing network cloud space, an operator/service provider cloud space and a system supporting cloud space. The system integrates the family sensing network with the IOT sensing family cloud platform by utilizing a software/hardware integrated assembly technology to form an integrated distributed service system structure and a sensing family system which can be interconnected, is easy to expand, has diversified services and can provide the high-quality services is constructed.

The invention relates to an UAV interference system and method based on electromagnetic interference, used for solving the problem that other normal radio communication is influenced by too high interference power and other related frequency devices are suppressed due to the fact that a suppression interference mode adopted in existing electromagnetic interference is in high power full- band coverage. The interference system comprises a reconnaissance sub-system and an interference sub-system; the reconnaissance sub-system comprises an L-band omnidirectional reconnaissance antenna, an S-band omnidirectional reconnaissance antenna, a C-band omnidirectional reconnaissance antenna, a down-conversion processing module, an intermediate-frequency processing module, a frequency hopping signal analysis module, a frequency hopping signal despreading and demodulation module, a guide interference module and a high-speed acquisition storage card; and the interference sub-system comprises an intermediate-frequency modulator unit, a converter unit, a signal filtering, switching and synthesizing unit, an L-band interference power amplification antenna unit, an S-band interference power amplification antenna unit, a C-band interference power amplification antenna unit and a control unit. The invention further provides an interference method based on the interference system.

The invention discloses a velocity measuring method of a ground motion object by use of an unmanned plane. The method comprises the following steps: an aviation photoelectric surveillance platform carries out object searching in a relatively quite large scope, after the position of a search area is given, a visible light camera is driven to rotate to enable an object to enter a tracking view field, and the view filed is searched by use of a stepping and staring combined mode; after a motion object image of interest is obtained, an image tracker starts working, isolates aerial carrier attitude change and interference of low-frequency vibration, enables the object to be always maintained at the center of the view field of the camera and realizes stable tracking of the object; it is maintained that the aviation photoelectric surveillance platform stably tracks the motion object, and coordinates of the motion object at each time point under a reference coordinate system are solved every equal time period; and calculated coordinate data of multiple objects under the reference coordinate system are substituted into a parameter equation of an object motion locus, unknown parameters in the reference equation are fitted by use of a least square method, the derivative of the reference equation for time t is respectively solved once and twice, and an object speed and an accelerated speed are solved.

The invention discloses a dual-optical-frequency-comb linear spectral encoding imaging method. According to the method, two optical frequency combs with locked repetition frequencies are used, and thetwo optical frequency combs output signal light and local oscillator light respectively. The signal light is divided into detection light and reference light. The detection light passes a spectral encoder to be focused on the surface of a sample to be measured, the sample to be measured is encoded, and then the sample to be measured and the local oscillator light are subjected to dual-optical-frequency-comb heterodyne interference. The reference light directly interferes with the local oscillator light. Two interference pulse signals are generated and are converted into digital signals by signal acquisition. Optical reference compensation detection jitter is used, and a sample absolute distance with high precision and high stability, a linear reflectivity and phase information are obtained. The sample is moved linearly, continuous measurement is performed, and a 3D topographic image and a 2D reflectance image with high precision are achieved. The dual-optical-frequency-comb linear spectral encoding imaging has the advantages of simple structure, high measurement speed, high precision, a large amount of information and high expansion.

The invention provides a multi-sensor intelligent monitoring system based on the Internet of things, which comprises a monitoring client, a server and a plurality of sensor monitoring modules, and is characterized in that the sensor monitoring modules and the monitoring client are connected with the server; the monitoring client comprises a mobile equipment monitoring client and a PC monitoring client, and the mobile equipment monitoring client is used for performing real-time data monitoring; and the PC monitoring client comprises a system login module, a real-time data monitoring module and a data analysis module. The multi-sensor intelligent monitoring system further comprises a gateway module, and the sensor monitoring modules are connected with the server through the gateway module. According to the invention, real-time monitoring is performed on target equipment by means of various sensor modules, data is transmitted to the server, and real-time conditions of a monitoring target can be seen by a user visually on an interface of the monitoring client after the data is analyzed and processed, and the multi-sensor intelligent monitoring system is convenient, efficient, more intelligent and low in cost.

Disclosed is a parcel sorting machine control system based on cloud computing. Modules in the system are distributed at a sorting machine site, a cloud platform and a management and monitoring center correspondingly. The cloud platform comprises a database module, a parcel supply software module server, a single-machine monitoring module server, a decoding module, a communication module, a sorting machine centralized monitoring module server, a sorting machine management module server and a cloud platform management module server. The management and monitoring center comprises a sorting machine centralized monitoring module client, a sorting machine management module client and a cloud platform management module client. The sorting machine site comprises a parcel supply software module client, a sorting machine management module client, a single-machine monitoring module client, a parcel supply control module, a main loop control module, a barcode reading module, a bin control module and a pallet control module.

The invention relates to the technical field of Internet, and in particular discloses a detecting and filtering method of a spam mail based on a counterfeit sender. The method comprises the following steps: starting a mail monitoring system; receiving a mail; extracting a mail header; initializing a sender email domain set S_DN; analyzing a sender email domain MD from a From field; analyzing a sender email domain DN from a Received field; and judging the spam mail, namely if the MD belongs to the S_DN, judging the mail as the spam mail; and if the MD does not belong to the S_DN, judging the mail as a normal mail. As the method is used, the spam mail based on the counterfeit sender is effectively detected and filtered, so that the normal mail is prevented from being filtered wrongly. Thus, a technical support for network management, network security monitoring and on-line network evidence obtainment is provided.

The invention relates to a method and system for installation and deployment of integrated software based on provinces, cities and counties. The method comprises the following steps of: S1, obtaining a software deployment task, wherein the software deployment task comprises a list of computers to be deployed, and the list of computers to be deployed comprises unique code information of the computers to be deployed and information of software to be installed in the computers to be deployed; S2, generating configuration files and software installation packages for the computers to be deployed according to the software deployment task; and S3, providing the configuration files and the software installation packages for the corresponding computers to be deployed through a network, wherein tasks of installation of the corresponding computers to be deployed are shown in the configuration files. By adopting the method, software deployment can be conveniently performed for batches of computers, and the working efficiency can be increased.

The invention relates to the technical field of optical communication equipment, in particular to a bidirectional transmission optical module capable of remotely adjusting the wavelength. The bidirectional transmission optical module comprises a plurality pairs of bidirectional optical communication units, a pair of wave combiners and separators and an optical fiber; each pair of bidirectional optical communication units are correspondingly partitioned to be a terminal module and a local side module according to the fact of being deployed at an AAU end or a DU end respectively, and the pair ofwave combiners and separators are coupled to the two ends of the optical fiber respectively, wherein the terminal module is connected with the active antenna unit (AAU) and the first wave combiner and separator, and the local side module is connected with the distributive unit (DU) and the second wave combiner and separator; and each bidirectional optical communication unit comprises a receivingmodule, a transmitting module and a wavelength control module, wherein the wavelength control module controls the transmitting module to transmit signal light with the corresponding wavelength according to an instruction received by the receiving module. The bidirectional transmission optical module has the substantial advantages that by means of the wavelength control modules, remote wavelength adjusting is achieved, and the system networking flexibility is improved; and by using single-fiber bidirectional transmission, the terminal modules and the local side modules have no physical difference, and installation and deployment are convenient.

The invention discloses a real-time automatic monitoring device for tunnel deformation. The real-time automatic monitoring device comprises at least one laser scanning mirror group, a plurality of composite target assemblies and an upper computer, wherein the laser scanning mirror group is composed of a laser emitter, a reflector group, a main embedded system and a shell. The laser emitter, the reflector group and the main embedded system are packaged in the shell, the reflector group can conduct X-direction scanning and Y-direction scanning on laser beams emitted by the laser emitter in a view field, and the laser beams can be kept at a fixed space angle to be emitted out according to an instruction of the main embedded system. The real-time automatic monitoring device overcomes the defects of complex operation, poor real-time performance, low efficiency, high site requirement, low repeated precision and the like in existing tunnel deformation measurement, is simple and convenient toinstall and deploy, high in measurement speed, high in precision, good in repeatability and large in measurement deformation displacement range, and can monitor multi-section deformation of a tunnel in real time.

The invention discloses a teaching system and method of a mechanical arm. The teaching system comprises a visual motion capture module, a computer workstation, the mechanical arm and a teaching device, wherein the visual motion capture module can acquire a mark point in a scene or a space position of a rigid body in real time; control software comprises a data processing module, a mechanical arm control module, a mechanical arm calibration module and a visualization module; the teaching device comprises a control switch, a wireless communication module and a teaching mark point; and a user teaches the mechanical hand through the reaching device, and the tail end of the mechanical arm completes corresponding motion along a motion path of the teaching device. According to the teaching systemand the teaching method, mounting of the system is convenient, the teaching method and process are simple and quick, teaching efficiency and precision are greatly improved, and the teaching system has wide application prospects.

The invention discloses a hospital logistics operation management ecological platform, and relates to the technical field of hospital logistics data management. The system comprises a user side and a server side, wherein the server side comprises a data management unit, a data analysis unit, an application center, a service provider management unit, an ecological service access management unit and an ecological technology access management unit; the user side displays different interfaces according to different user types, and the user types comprise decision makers, supervisors and business users. The system is an open platform, can realize standard and rapid access and plug-and-play of a third-party service, and meets the rapid online requirements of a hospital party on diversified, customized and specialized logistics application service subsystems; the business operation and maintenance service management unit can realize unified management and unified display of multiple independent systems and data interaction among the multiple systems, and can effectively solve the problems of difficulty in hospital logistics management, business splitting, information isolation and high cost of independent deployment of the multiple systems in the prior art.

The present invention provides a track circuit in-station insulation damaging online detection method and device. The method comprises the steps of: detecting an electrical parameter value of signalsof a track circuit itself; comparing the electrical parameter value with a reference value, and determining starting of an insulation damaging mechanism; and determining whether insulation damaging isgenerated in a section or not according to the electrical abnormal condition of the track circuit signals in the section. According to the technical scheme, the online detection can be achieved, installation and deployment are simpler, and the detection processing is much safer and more reliable.

The invention discloses a machine tool cutter vibration monitoring and analyzing method based on artificial intelligence and big data. According to the method, on the premise of big data, artificial intelligence methods such as machine learning and deep learning are combined to perform feature extraction, feature transformation and feature learning on vibration signals generated by key devices soas to monitor and analyze the key devices. The beneficial effects of the invention are that the vibration analysis is simple in feature extraction, is convenient to install and deploy, and does not damage the structure of a measured object body.

The invention discloses a vehicle type recognition method, and the method comprises the following steps that S01, a vehicle enters into a photographing range of a camera, and the camera captures M frames of vehicle images, and transmits the M frames of vehicle images to a synthesis unit; S02, the synthesis unit splices the shot M frames of vehicle images into a complete vehicle side view, and transmits the vehicle side view to a feature extraction unit; S03, the feature extraction unit outputs vehicle types, axle information and vehicle length information and transmits the vehicle types, the axle information and the vehicle length information to a vehicle type establishing unit; S04, the vehicle model establishing unit outputs vehicle model information according to the vehicle type, the axle information and the vehicle length information. According to the invention, vehicle feature points can be accurately captured, vehicle side images can be rapidly restored, and vehicle model identification can be accurately carried out.

The invention provides a data query method and device, equipment and a storage medium. The method comprises the steps of obtaining a query configuration file of a tree data structure customized by a user through a visual query configuration interface; analyzing and converting the query configuration file of the tree data structure to obtain a corresponding database query statement; and executing the database query statement to obtain the target data from the data source. According to the invention, the user customizes the query configuration file of the tree-shaped data structure through the visual query configuration interface, dynamic data query and filtering are achieved, the invention is simple and convenient, the professional requirement for the user is not high, and the application range is wide.

The invention discloses a high-rise building SHM system based on the LORA + BIM technology, and belongs to the technical field of intelligent buildings. The system comprises a LoRa data acquisition and transmission subsystem, a data processing subsystem and a BIM visual evaluation analysis subsystem; the LoRa data acquisition and transmission subsystem comprises a plurality of sensors, a plurality of LoRa terminals and a LoRa gateway; LoRa terminal nodes send acquired signals to the LoRa gateway through a LoRaWAN network, the LoRa gateway sends the data to a network server through a wireless 4G network, the sensors are connected with the LoRa terminals through serial ports, and the plurality of LoRa terminals correspond to one LoRa gateway to form a star-shaped networking mode. According to the invention, wireless data acquisition, data management and monitoring information visualization analysis are integrated to realize high-rise building SHM monitoring, and a certain significance is provided for expanding the application of the LoRa technology in the SHM field. BIM secondary development modeling is combined with structural model analysis, an information database storage and visualization method is researched, and a thought is provided for high-rise building monitoring information management.

The invention relates to a processing method and a processing system based on application software data information of virtualization technology. The method includes that a preinstallation process of application software is monitored on a virtual machine management layer real-time customer virtual machine, whole calculation and data processing are conducted to files produced by the preinstallation process to obtain characteristic information of the application software, the characteristic information of the application software is input into a data information memory pool, and the characteristic information of the application software is obtained from the data information memory pool to provide network service for computational nodes in the cloud computing environment. The processing method and the processing system can conduct uniform collection, storing and the network service for the data information of the application software, and can effectively resolve the problem of safe use of the application software in the cloud computing environment.

The invention discloses an on-chip system based wireless temperature and humidity monitoring node and a monitoring method thereof. The wireless temperature and humidity monitoring node comprises a single chip CC430, a digital temperature and humidity sensor SHT11, a polymer lithium battery, an antenna, a 32.768KHZ low-frequency crystal oscillator, a 26MHZ high-frequency crystal oscillator and a JTAG (Joint Test Action Group) debugging port. The wireless temperature and humidity monitoring node and the monitoring method thereof are easy to install and deploy the environment as well as to maintain or refit, and can switch between dormancy and work, thereby greatly reducing power consumption and effectively avoiding mutual interference between a plurality of nodes.