291results about How to "Easy to upgrade and maintain" patented technology

The invention provides a public information intelligent analysis platform based on big data analysis and mining. The public information intelligent analysis platform comprises a big data preprocessing module, an intelligent analysis module and an information presentation module. The big data preprocessing module is used for storing and preprocessing enterprise information via a clouded mode. The intelligent analysis module is used for performing event cause and effect analysis, assessment of the overall situation of the company and future trend prediction and returning analysis results to an upper layer by comprehensively utilizing the preprocessed data according to data analysis tasks transmitted by the upper layer. The information presentation module is used for generating the data analysis tasks to the intelligent business analysis module and receiving the returned results, presenting the analysis results of the intelligent analysis module and providing an operation interface to a user. Intelligent analysis is performed on mass data in enterprise operation by adopting a clustered computing method via flexibly establishing and configuring analysis models so that problems of poor real-time performance, high effectiveness and interactivity of a conventional data processing method are solved, the user is assisted to perceive the enterprise situation in real time and thus enterprise management efficiency and business processing level are enhanced.

The system includes a field working station and a remote service center. The field working station runs the OPC data collection module and the network data releasing module conforming to TCP/IP protocol by using the OPC data collection and network data releasing application program, and is connected to the field control center through OPC interface. The remote service center runs the network terminal module conforming to TCP/IP protocol, the remote OPC server module and the remote control module supporting OPC interface by using network terminal application program and the remote OPC service application program. The network communication terminal module receives the field data released by the network data releasing module, and then releases the received data to the remote OPC service module by which the data is transmitted to the remote monitoring module.

The invention discloses a terminal software online upgrading system and a terminal software online upgrading method based on a cloud computing environment. The method specifically comprises the following steps that a management and maintenance operating platform makes a software upgrading request to a cloud node management strategy server; the cloud node management strategy server selects a plurality of embedded cloud terminals as cloud node servers according to certain strategies; the cloud node management strategy server issues a cloud node server information list to the management and maintenance operating platform; the management and maintenance operating platform uploads a software packet to corresponding cloud node servers; the cloud node management strategy server informs embedded cloud terminals and downloads the cloud node server information list to the embedded cloud terminals; and the embedded cloud terminals download software packet data from the designated cloud node servers and upgrade software. By adopting a cloud computing technique and a cloud computing method, the software upgrading of the embedded terminals on a large scale can be supported without adding special software upgrading servers, the stability is high and the upgrading effect is better if the embedded terminals are more.

The invention relates to the technical field of communication and discloses a board system, aiming at solving the problems that an FPGA (Field Programmable Logic Array) online update mode is inapplicable for the FPGA online update of a separated type system of a motherboard plus multiple communication interface cards in the prior art, and the update mode is high in cost and low in reliability. The system comprises a motherboard and n interface cards, wherein the motherboard comprises a CPU (Center Processing Unit), a CPLD (Complex Programmable Logic Device) unit and n slot positions; each slot position is connected with the CPLD unit; the CPLD unit is connected with the CPU; the n interface cards are connected onto the n slot positions in a plugging and one-to-one correspondence way through n connectors so as to realize signal interconnection with the motherboard; as an integer, n is greater than or equal to 2; the CPLD unit comprises a gating module and a counting module; the interface cards comprise an FPGA unit, a selector switch, a main flash module and a slave flash module; the main flash module and the slave flash module are connected with the FPGA unit through the selector switch. In addition, the invention also discloses an FPGA online update method of the communication interface cards, which is applicable for the separated type system of the motherboard plus the multiple interface cards.

The invention discloses a method for remotely upgrading an optical network unit. An operation management and maintenance protocol data unit is expanded and serves as a carrier for upgrading an interactive message between an optical network unit (ONU) and an optical line terminal (OLT). The method comprises the following steps that: the OLT sends an upgrade request message to the ONU, judges whether the ONU allows upgrade according to a received upgrade response message, and encapsulates an upgrade file in an upgrade message and transmits the upgrade file to the ONU if the upgrade is allowed; after the file is completely transmitted, the OLT sends a transmission completion notification message to the ONU; after receiving the upgrade file transmission completion notification message sent by the OLT, the ONU writes the upgrade file in a spare storage area or the current storage area; and the OLT starts from the storage area, and sets the storage area as a primary storage area if the OLT is successfully started, namely the OLT always starts from the storage area from now on. The invention discloses a system for remotely upgrading the optical network unit. The technical scheme is easy to realize and practical.

The invention discloses a system time synchronization device and method in a packet transport network, relating to packet transport networks in optical communication. The device comprises a CPU (central processing unit), a time synchronization module, an FPGA (field-programmable gate array), a 1PPS+TOD (1pulse per second+time of day) time interface, an entry time stamp module, an exit time stamp module, a first PTP (precision time protocol) port and a second PTP port, wherein the FPGA is connected with the CPU through the time synchronization module; the first PTP port is connected with the CPU through the entry time stamp module; the second PTP port is connected with the CPU through the exit time stamp module; and the FPGA is also respectively connected with the CPU and the 1PPS+TOD time interface. The device and the method have the following advantages: through combination of software and hardware, nanosecond precision system time synchronization between master and slave stations in the packet transport network can be effectively and quickly implemented, and high precision timing of the whole network can be implemented.

The invention discloses a system and method based on GIS distribution network graphic display. The system comprises a user data information recorder, a data operational unit, an information matching module, a data analyzer and a display module. The user data information recorder, the data operational unit, the information matching module, the data analyzer and the display module are sequentially connected. The method includes the steps of data information input, data operation, building of a new data storage, matching of corresponding data information, data analysis, generation of data information streams and display of the data information streams on the corresponding GIS graphs. By the adoption of the system and method, data size analysis efficiency is remarkably improved, complex chart data are converted into graphic display information easy to understand, and a distribution network is planned through a GIS through virtual image display.

The invention relates to the technical field of mechanical arm control, and discloses a zero-gravity control method free from moment sensing. The zero-gravity control method comprises the following steps of step 1, obtaining absolute position parameter pulse values of each knuckle of a mechanical arm through an absolute value encoder, and converting the motor pulse capacity to pulse capacity of anorigin of a cartesian coordinate system; step 2, according to the definition of instantaneous velocity and instantaneous acceleration, calculating loop iteration to calculate the instantaneous velocity value and the instantaneous acceleration value; and step 3, performing programming with a software Matlab to determine the algebraic relation expression between the gravity moment of each knuckle arm and the position parameter of each knuckle of the mechanical arm. Through the adoption of the zero-gravity control method disclosed by the invention, for zero force dragging, a moment sensor is notadopted, so that the cost is low and the operability is high, the zero-gravity control method is easy for application and popularization of industrial automation; and besides, the method is mainly realized with the assistance of recognition of the parameters and a software algorithm, so that time and labor are saved, the programming showing and teaching efficiency is high, and later stage maintaining and upgrading are convenient and swift; and the programming efficiency and quality are improved through dragging slowing and teaching planning points, and a foundation is laid for the yield of products.

The invention discloses a multi-angle garbage classification cloud platform based on deep learning, and the platform comprises the steps: obtaining a garbage image through a front-end image collectionmodule, and judging whether the garbage image can meet the classification requirement or not; transmitting the garbage image to a garbage classification cloud platform through a wireless high-speed transmission module; enabling the garbage classification cloud platform to identify the garbage image, using a garbage classification module based on a deep learning model for giving a classification result, and storing each identification result in a cloud platform database module; and meanwhile, transmitting a classification result to the front-end image acquisition and transmission module, enabling the control module to classify the garbage according to the received classification command, and after garbage classification is completed, the front end transmits a confirmation instruction to the cloud platform to end the classification process. According to the method, a mode of combining the garbage classification module and the database module is adopted, a distributed system is used, upgrading and updating of the deep learning model are facilitated, and the recognition accuracy is improved by combining a multi-angle recognition and judgment technology.

The invention discloses a method and a system of remote monitoring management. The method comprises that a cloud platform service subsystem generates a collecting application according to a monitoring request sent by a colleting terminal, the collecting application is sent to the collecting terminal, the collecting terminal operates the collecting application to drive the build-in collecting function to obtain the current audio and the current video, and the audio and the video are fed back to the cloud platform service subsystem in real time. The cloud platform service subsystem obtains images of moving objects from the audio and the video and determines whether a warning operation is executed or not according to the images of moving objects. When the warning operation is determined, a warning message and the images of moving objects are sent to a monitor terminal associated with the collecting terminal; and a warning confirmation message is fed back to the cloud platform service subsystem by the monitor terminal according to an operational order input by a user. According to the method and the system, remote monitoring is achieved without mounting special hardware and software on the collecting terminal and the monitor terminal. Compared with the current remote monitoring technology, generality is strong, cost is low, and maintaining and upgrading are convenient.

An encephaloelectric signal amplifier for the portable event associated electrocortical potential instrument is composed of cerebral electrodes, encephaloelectric signal preamplifier, main frequency trap circuit, band-pass filtering amplifier, 16 embedded A/D converters, polarity switch and synchronous controller MCU. It can precisely acquire the bioelectric signals of human nerve, filter and amplify them, and record them at real time.

The invention discloses a model-driven-based intelligent diagnosis method for a secondary equipment state for a transformer substation. On the basis of a primary equipment topology, calculating an operation state of primary equipment; on the basis of an IEC61850 model configuration file, establishing a secondary equipment topology of a transformer substation and analyzing the operating state of the secondary equipment by combing listing information of the secondary equipment; establish an intelligent diagnosis service logic model library through standardized modeling according to an exit ruleof the soft board of the secondary equipment of the transformer substation and carrying out description by using an XML-based logic description language; and acquiring a service logic model by loadingthe intelligent diagnosis model library, completing mapping between a service logic model and a substation monitoring system database, generating an intelligent diagnostic model instance, and then completing the diagnosis of the secondary equipment state based on relevant real-time data of the substation monitoring system database. Therefore, the standardization of the state diagnosis function ofthe secondary equipment of the transformer substation is promoted.

The invention provides a method and a device for establishing and analyzing a WAP web page, wherein the method comprises the following: step A, a design server DES establishes the corresponding template in advance according to different types of web sites and classifies content elements to be displayed in the established web site; step B, the design server DES organizes the content elements to be displayed on the established template and generates a web page as well as notifies an engine analyzing server EP to analyze the web page; and step C, the engine analyzing server EP receives the request for analyzing the web page and searches the data corresponding to the content elements to be displayed in the database and organizes the data to the current web page, and then generates the static web page and stores the static web page. The method and the device can flexibly design according to the needs of users and bring convenience to the upgrading maintenance.

The invention discloses an automatic clock frequency measurement and calibration system and method. The system comprises a power supply system, an instruction control module, a data storage model, a self-adaptive voltage control and burning power supply control module, a communication interface module, a clock frequency measurement module, a chip clock frequency calibration module, a clock frequency algorithm processing module, a smart instrument control module and a clock calibration module. The invention achieves measurement and calibration of clock frequencies of integrated or professional chips at low cost, the frequency calibration accuracy is ensured, demands of high-precision clock frequency calibration are stratified, usage requirements of clients are met with low investment and high benefits, the chip design cost is saved and the development efficiency is improved.

The invention discloses an OpenVPX framework-based high-speed backboard. The backboard comprises a bus interface circuit and a support module realized by adopting an SOC hardware circuit, wherein thebus interface circuit comprises an exchange board slot position, three signal processing board slot positions, a collection board slot position, an interface conversion board slot position and a powerboard slot position. Through the support module, configuration management of load board cards carried by the slot positions is realized, which comprises the processes of receiving a synchronous signal and a reset signal provided by the exchange board slot position, transmitting the signals to other slot positions, and setting a state of an I/O pin during initialization to configure function states of the slot positions; and the OpenVPX framework-based high-speed backboard provided by the invention solves the problems of complex design and poor flexibility and expansibility of an existing 3U VPX bus communication circuit.

The invention discloses a distributed exposure dose control system, which comprises a laser unit, a variable attenuator, a light path transmission unit, a light path guide unit and an energy sensor, wherein the laser unit generates a laser pulse, and then the energy sensor measures actually received laser pulse after the laser pulse passes through the variable attenuator, the light path transmission unit and the light path guide unit. The distributed exposure dose control system is characterized in that the laser unit, the variable attenuator, the light path transmission unit, the light path guide unit, and the energy sensor respectively adopt independent correction modules to obtain compensation factors of different units, obtain a pulse energy value after carrying out feed-forward compensation on the actually received laser pulse and related parameter according to calibrating factors of the different units, and carry out feedback compensation to obtain the optimal exposure dose after the pulse energy value is output by a uniform compensation control unit.

The invention provides a method of intensively analyzing the remote device data stream; the intensive analysis is realized by a front-end server; the front-end server comprises a data processing module, an apparatus interface module and a communication module, and is provided with a soft transmission module for collecting the data link transmission to the connected front-end automated equipment, a soft decoding module for intensively analyzing the connected front-end automated equipment; the original data stream sent by the front-end automated equipment is received by the communication module of the front-end server, and the data stream is decoded by the soft decoding module to form a group of data objects with the standard formats to describe the state and attribute of the automated equipment connected by the front end.

The invention discloses a method for enhancing quality of service (QoS) and virtual local area network (VLAN) processing capability in a passive optical network (PON) system, wherein the uplink data-flow classification of a switching chip can be carried out on the basis of a logic link identifier (LLID) by adding a mark in the PON system, the function of an access control list (ACL) of the waste switching chip in an original design can be sufficiently applied through rational planning, and the method not only can be used for the expansion and the complementation of the flow classifying function of a PON chip, but also can be used for dividing a processing range with the PON chip, thereby under the condition of no increase of the cost of any hardware, the QoS and VLAN processing capabilityof the PON system is greatly expanded and enhanced, and the performance-price ratio of equipment is improved.