6935results about How to "Safe and stable operation" patented technology

The invention discloses a digital multimedia information transmission platform, which comprises an acquisition system, a manufacturing system, a media resource system, a management system and a release system, wherein the acquisition system consists of control equipment, outside network material receiving server and an foreign signal, studio signal and magnet tape material acquisition and collection subsystem; the manufacturing system consists of a program editing system, a program examination system, a background packing and synthesizing system and a resource manager; the media resource system consists of a media resource cataloging and searching work station, a transcoding server, a database server, a storage management and migration server and a system management working station; the management system consists of a uniform user identification system and a network management system; the release system serving as an external interface module of a multimedia center encrypts finished products in multiple formats and executes related release according to outside service demands; and the platform is an integrated production line of digital media contents and also a digital media resource comprehensive service system platform and can realize overall media resource sharing.

A robot airplane for tour inspection of power line in counterwise driving structure of coxial double propeller uses two engines to control flight stability, GPS and GIS to confirm flight path, computer processor to adjust flight attitute and battery to provide power for motor, transducer and data link system. Its control system consists of navigation system, autonomous planning system, data link system and on line detection system.

The invention discloses a method for processing ethylene tar, which selects an appropriate cutting point to fractionate the ethylene tar into a light fraction and a heavy fraction aiming at the characteristics of high content of arene, colloid and carbon residue in the ethylene tar. The light fraction passes through a hydrogenation protection reaction zone, a hydrofining reaction zone and a hydrocracking reaction zone sequentially to obtain a gasoline fraction and a diesel oil fraction; and the heavy fraction is used as a universal type carbon fiber asphalt stock. The method for processing the ethylene tar makes full use of the total fraction of the ethylene tar and increases the additional value of the ethylene tar. In addition, the method enables the arene after hydrostturation in the ethylene tar to open ring, crack moderately and / or isomerize by selecting two types of hydrocracking catalysts to perform grading loading so as to obtain the diesel oil fraction with condensation point less than -40 DEG C in high yield and obtain a side product high-octane gasoline fraction at the same time.

The invention relates to an enterprise application deployment and management system for multiple tenants. A container-based multi-tenant isolation mechanism is realized; the integration and migration of enterprise legacy systems are supported; rich enterprise-level services are provided; SOA architecture-based enterprise-level application development is supported; perfect self-service ability is provided; high availability of a platform can be provided; dynamic expansion and demand-based scalability can be realized; and pure asynchronous intelligent routing is realized. The objective of the invention is to solve problems in multi-tenant resource isolation, compatibility with existing applications and composite application construction in cloud computing technologies for enterprise applications. The enterprise application deployment and management system for multiple tenants has the advantages of multi-tenant safe isolation, seamless migration of enterprise applications and the scalability of applications.

The invention discloses a testing and verifying system appropriate for an intelligent transformer substation and a verifying method. The system comprises an upper computer and an embedded system lower computer that comprises a collecting plate, a signal plate, a data plate and four sub-plates of a synchronization plate. The signal plate, the data plate and the synchronization plate are supplied with power by an external adapter DC5V. The synchronization plate provides synchronization pulse signals to other sub-plates. Ethernet of the upper computer is connected with the signal plate of the upper computer, the intelligent transformer substation, and a process layer, an interval layer and a station layer network of a digital transformer substation by an RJ45 twisted-pair through an industrial switchboard. The testing and verifying system appropriate for the intelligent transformer substation is convenient to detect and verify the electrical capacity of current intelligent transformer substation and digital transformer substation and improves the debugging speed of the intelligent transformer substation and digital transformer substation greatly so as to provide good technical assurance to construction of the intelligent transformer substation and digital transformer substation and lay a solid foundation for safe and stable operation of the intelligent transformer substation and digital transformer substation.

The present invention discloses parallel mass data transmitting middleware of Internet of things and a working method thereof. The invention includes: a data collection module, for forwarding data collected from different types of sensors to an application interaction module after analysis; the application interaction module, for achieving communication between the parallel mass data transmitting middleware of the Internet of things and an application system of the Internet of things, analyzing a control command of the application system of the Internet of things, transmitting to the data collection module, and further transmitting the analyzed sensor data to a data management module; the data management module, for performing data screening, fusion, conversion on the mass data analyzed by the application interaction module, and finally storing the calculated data into the application system of the Internet of things; and a developing regulation module, for setting out a protocol plug-in regulation, a communication channel plug-in regulation, a service field metadata plug-in regulation, etc. The present invention can meet high concurrency access and management of the large scale sensing apparatus of different application fields, various communication channels and various communication protocols.

The invention discloses a planning big data management and control system of a smart power distribution network and a method. The system comprises that a data layer constructs a global power network planning model; a basic data dictionary containing power network devices, graph standards and power network operation information is built; an application layer carries out statistic analysis and real time load actual measurement analysis to the power network devices and power network operation states in a set region; automatic filling of power network load data graphs, intelligent operation of planning data, intelligent verification of the planning data and intelligent statistics and summary of the planning data are realized; a service layer selects planning power network schemes; a display layer carries out centralized display, share and information issue to the planning and design achievement. According to the system and the method of the invention, through taking multi-source massive data such as basic geographic information, power network space and attribute thematic information and power network operation real time information as cores, planning and design data resources in the system are effectively integrated, a power network planning and design integrated information platform is built, and power network planning and design information-based foundation is tamped.

The invention relates to a multi-agent optimized coordination control method of an electric network in the technical field of electric networks, which comprises the following steps of: collecting local electric information, transmitting the local electric information to a central agent of a microgrid and issuing a control command by a local electric network to the central agent of the microgrid simultaneously; computing by a grid technology; issuing a new control command by the central agent of the microgrid and transmitting the information to a regulation agent of the local electric network by a network line simultaneously; receiving a dispatching instruction of the central agent of the microgrid by the agent of each element and carrying out logical judgment on a result executing these dispatching commands according to the collected local electric information; and meanwhile, optimizing the electric network within a control range by the regulation agent of the local electric network and controlling a computer to carry out parallel computation by the grid technology. The invention is suitable for carrying out optimal dispatching on a distributed energy resource of an intelligent electric network, can control each power supply by an optimization scheme, also enhances the operational processing time greatly and ensures that the intelligent electric network runs safely, stably and economically.

The present invention discloses a maintenance system of a piece of power equipment based on risk assessment, comprising: that a data acquisition unit monitors original data of the power equipment and the acquired original data is saved to a database server; a data processing unit processes the acquired original data to generate a processing result; an application service unit allows a user to access the original data and interactively operates the processing result; and the user determines whether the power equipment needs to be maintained based on the processing result and the original data. Using the system in the invention, blindness of the equipment maintenance can be dramatically reduced and insufficient or over maintenance can be avoided, and then a principle that what needs to be maintained should be maintained and what should be maintained needs good maintenance of the equipment can be realized, while a lot of maintenance cost can be saved, safe and stable operation of the equipment is guaranteed and a managing level of the equipment is greatly enhanced.

The invention relates to a mobile robot real-time layered path planning method based on a grid map. The method, which is used in a grid map, comprises the following steps: carrying out binary classification according to external environment information, and establishing a grid map; planning an outer path according to a speed-based artificial potential field method; and when the path is about to fall into local minimum and oscillation, planning an inner path according to an A star algorithm. The problem that the traditional artificial potential field method may fall into local minimum and planned path oscillation and the problem that the A star algorithm is not applicable to real-time path planning are solved. Real-time, safe and stable operation of mobile robots is ensured.

A CHP optimal dispatching model is a mixed integer programming model and is used for a district heating system (DHS) comprising a heat source, a heating network and a heat load, and the heating network comprises a heat transmission network and a heat distribution network. A plurality of heating areas is divided, and one day is divided into a plurality of time periods; the heat transmission loss of the heat distribution network is omitted, and a heat transmission network model taking transmission time delay of the heating network into consideration is established according to the heat transmission network; a terminal heat consumer model capable of reflecting indoor temperature is established; and a combined optimal dispatching model comprising conventional generators, wind power units, CHP units, electric boilers and heat storage tanks is established.

The invention discloses a small portable automatic gravity center control vehicle, and relates to a small highly intelligentized portable automatic gravity center control vehicle. The whole vehicle has the characteristics of small volume and light weight; and due to a folded structure, a handle can be folded into a lifting handle, the vehicle can be carried by people and parking space and the possibility that the vehicle is stolen are reduced. The running of the vehicle is controlled by detecting the gravity center shift state of a driver and the vehicle; and the vehicle is flexible to run even in a narrow space. The vehicle has a ladder chassis structure, so driving is more comfortable and safer; and the vehicle is safe, stable and comfortable to run by adopting an intelligent control mode and environmental perception technology.

The invention provides a processing method for reducing and recycling organic waste water. The method comprises steps: (1) pre-treating waste water to obtain pre-treated out-water; (2) treating the out-water obtained from the step (1) through solid-liquid separation; (3) nano-filtering the out-water obtained from step (2); (4) treating nano-filtered concentrated water obtained from the step (3) to obtain out-water subjected concentrated water nano-filtering, returning to the step (3) for mixing the out-water subjected to concentrated water nano-filtering with the out-water subjected to solid-liquid separation, and performing nano-filtering; (5) performing first reverse osmosis treatment on out-water obtained from the step (3) through nano-filtering; (6) performing second reverse osmosis treatment on concentrated water obtained from the step (5) through first reverse osmosis treatment; and (7) evaporating and crystallizing a concentrated liquid obtained from the step (6) through second reverse osmosis treatment in order to obtain crystallized salt and evaporated concentrated water. The invention further provides a processing system of the method. Through the method and system, waste water is truly reduced and recycled.

The invention provides a wind power optimizing scheduling method based on power forecast, which is applied to a power scheduling operation schedule solution containing wind power. In the method, the power forecast curve of a wind power station are utilized; the peak regulation capacity and the safe and stable limit of a system are calculated, so that scheduling of total output of the wind power within the scheduling range is divided into restricted time interval scheduling and non-restricted time interval scheduling; for the non-restricted time interval scheduling, the error scope of the forecast power generation is considered based on a forecast power generation curve; and for the restricted time interval scheduling, wind power forecast errors are considered based on the restriction of the aggregate limit of the wind power stations and the forecast power generation output of each wind power station, thus optimizing power generation power limit value allocation of each wind power station, so that the system can maximally digest the wind power under the condition of meeting the requirement of safe and stable operation. A wind power scheduling curve is executed by the power generation of the wind power station so as to strength safety and stability of the power grid operation, intensify the digestion capacity of the wind power and maximally utilize the wind power.

The invention discloses an intelligent sales terminal with an online shopping function, a sales system and a method. Disclosed by the invention is an intelligent safe sales terminal, a sales system and an implementation method which are based on network technologies, not only can carry out shopping on a local sales terminal, but also can order goods through the network. The intelligent sales terminal comprises a microprocessor, a man-machine interface module, a storage device, a network communication interface and a local communication interface, wherein the man-machine interface module, the storage device, the network communication interface and the local communication interface are connected with the microprocessor; and the man-machine interface module comprises a display screen and a device used for data input. The sales system comprises the intelligent sales terminal and a remote shopping website. The sales system also can comprise an automatic replenishment system and a remote server. The intelligent sales terminal with the online shopping function, the sales system and the method are easy to implement and can provide great convenience for shopping of customers.

The invention discloses a high-precision load control method based on mirror image droop and virtual inertia control. Controllable loads and energy accumulation in a micro-grid are integrally controlled, load control precision is increased, purposes of the controllable loads are expanded, micro-grid dependence on energy accumulation power and capacity is relieved, energy accumulation configuration is lowered, a 'negative power source' participates in peer-to-peer control of a distributed power source during micro-grid operation, and 'general energy accumulation' participates in micro-grid emergency control under fault conditions such as island converting to grid-connection. By the method, stable micro-grid frequency is achieved, tie line power fluctuation is restrained, and accordingly safe and stable operation capability of the micro-grid is increased.

A manually operable standing wheelchair includes an actuator for moving an occupant from a sitting position to a standing position. The manually operable standing wheelchair has a lifting mechanism, including, for example, a ratchet, cable, pulley, and telescopic tubes, which the occupant may manually operate to shift from the sitting position to the standing position. There is also a drive system to enable the occupant to manually move himself or herself in and the wheelchair from the sitting position to the standing position, or in any position in between. For example, the drive system may include adjustable lever drive arms with friction pads adapted for allowing the occupant to move in any position. In an embodiment, the wheelchair is equipped with a set of spring loaded anti-tip wheels that automatically deploy when the manual wheelchair begins to lift from the sitting position to the standing position.

The invention discloses a high-voltage transmission line / tower remote video on-line monitoring system which comprises a multifunctional monitoring base station, a wireless communication network and a remote monitoring center; the multifunctional monitoring base station is connected with the remote monitoring center through the wireless communication network and is arranged on the tower of the high voltage transmission line; the wireless communication network supports the video communication; the multifunctional monitoring base station is used for acquiring the spot scene information, and sending the spot scene information to the remote monitoring center through the wireless communication network; and the spot scene information comprises the video / image, audio frequency, spot monitoring data as well as early warning / warning message of the high-voltage transmission line / tower. In the invention the high-voltage transmission line / tower spot scene is transmitted to the remote monitoring center through the wireless communication network synchronization, thus the monitoring center operator can grasp the running state of the high-voltage transmission line / tower timely and accurately, and the comprehensive monitoring of the high-voltage transmission line / tower is realized.

The invention discloses an automatic expert comprehensive fault diagnosis system and a diagnosis method for wind turbines, which include: a data acquisition module that collects relevant data of a main control unit and a vibration signal acquisition unit and transmits it to a fault diagnosis module; a fault diagnosis module that comprehensively uses The neural network knowledge and expert system module use forward reasoning and compare the parameter fluctuation values ​​obtained in real time with the data in the fault sample knowledge base to generate fault information in real time; the fault diagnosis module passes the diagnosed fault information through the human-machine interface module for output. This invention uses the main control unit to read parameters such as instantaneous power, rotation speed, propeller angle, cabin temperature, wind speed, oil temperature, yaw status and other parameters of the wind turbine to improve the accuracy of fault diagnosis, and uses a neural network expert system based on wavelet packet analysis Carry out automatic analysis and give operation and maintenance suggestions through the expert diagnosis system.

The invention relates to a method for monitoring the running state of an industrial glue spread robot based on a digital twin technology. Compared with the prior art, the method has the effect of resolving the defect that the running state is hard to predict for the industrial glue spread robot. The method comprises the following steps of obtaining the running state data, collected by a sensor, ofthe industrial glue spread robot; preprocessing the running state data of the industrial glue spread robot; establishing a driving model of digital twin equipment; evaluating the running state of theequipment preliminarily; correcting the driving model of the digital twin equipment; and monitoring the running state of the industrial glue spread robot. According to the method, by using the equipment running model driven by digital twin, the real-time evaluation of the running state of the industrial glue spread robot is achieved, so that more accurate operation suggestions and maintenance suggestions are obtained; and the effective management of the life cycle of equipment operation is achieved.

A power system fault diagnostic method belongs to the power system dispatch and fault analysis domain, comprising: step 1 of downloading the fault data base of the power system to process to form a rule base; step 2 of collecting the voltage of the power system, current, the on off state signal of the breaker and the action signal of the relaying protection using the collecting device; step 3 of performing on-line fault diagnosis; step 4 of uploading the fault information to the host computer of the device and on-line adding the fault. The prior data collecting device, the mature technique and the outlying theoretical knowledge are combined together. The modified general rough intensivism contracted calculation can solve the problem that it is incapable for diagnosing or accurately diagnosing due to information deletion when the large scale chain fault generates. Especially the method can solves the fault diagnosis under 'avalanche data' which can not be solved by conventional method and ensure the system safely and stably run under each condition.

The invention discloses an environmental-protective composite inhibiting antisludging agent, which comprises the following parts: inhibiting component, antisludging component and deionized water, wherein the inhibiting component is composed of one or more materials in the molybdate, tungstate, borate, organic substituted carboxylic acid or organic heterocyclic compound; the inhibiting component contains one or more materials in the natural macromolecular compound, epoxy succinic acid or acroleic acid ternary copolymer.

The invention discloses a charging device for a new-energy vehicle. The charging device includes a column and a sliding cavity which is arranged in the column, the upper portion of the left side of the column is provided with an insertion cavity, a power supply part for being in matched connection with a charging part of the new-energy vehicle is arranged in the sliding cavity in an up and down sliding mode, the power supply part includes a downward sliding part and an upward sliding part which is fixedly connected with the downward sliding part, the left side of the upward sliding part is provided with a first power supply hole, the right side of the upward sliding part is provided with a power supply column, and a locking part for locking the charging part is further arranged in the upward sliding part. The charging device for the new-energy vehicle is simple in overall structure, safe and stable in running, relatively low in cost, convenient to mount and maintain and easy to operate, the continuity of electric vehicle charging can be achieved, charging is prevented from being broken midway, and the charging device is suitable for popularization and usage.

The invention discloses a control method of a battery energy storage system for peak clipping and valley filling in a distribution network. The control method comprises the following steps: obtaining a daily load curve on a predicted day according to a load predicating method, and computing the peak value and valley value of the daily load curve; setting a synthesis output valley value after participation of the energy storage system, and setting an initial value of synthesis output peak value; comparing predicated daily load data with the synthesis output valley value and the initial value of synthesis output peak value which have been set, and judging as follows: if the load data is smaller than the synthesis output valley value, charging the energy storage system to complete valley filling; and if the load data is larger than the initial value of synthesis output peak value, discharging the energy storage system to complete peak clipping, so that the synthesis output after energy storage adjustment reaches to the initial value of synthesis output peak value. At the peak and valley moments according to the load curve, the energy storage system is set to be charged once and discharged twice within one day, the requirement of peak clipping and valley filling can be achieved, and charging and discharging balance every day can be kept, so that the service life of the battery is prolonged to the maximum. Moreover, the control method also can ensure safe and stable operation of the energy storage system.

The invention discloses a home all-around remote control system which can provide reliable remote control function, and also can give an alarm in time when an exception occurs. The home all-around remote control system provided by the invention comprises intelligent home devices, an environment parameter sensor, a video acquisition device, an inductor, a control platform and a remote control terminal, wherein the intelligent home devices are in data connection with the control platform, at least two intelligent home devices are provided; the environment parameter sensor, the video acquisition device and the inductor are connected with the control platform, and the control platform is connected with the remote control terminal through a network.

The invention discloses a grounding fault arc extinguishing method and a device based on a controllable voltage source. The method comprises the following steps: continuously measuring three-phase voltage, zero-sequence current and zero-sequence voltage; When the fault is detected, the fault phase is judged according to the three-phase voltage. The voltage, line-to-ground capacitance, leakage resistance, fault grounding resistance, arc suppression coil inductance, resistance and internal resistance of controllable voltage source in normal operation of fault phase are obtained, and the output voltage of controllable voltage source is calculated. The output voltage of the controllable voltage source is output by SPWM or SVPWM modulation algorithm. By connecting the voltage source, the present application is easier to control and can effectively compensate the fault current and extinguish the arc at the fault point without considering the problem that the inductance parameter of the arc suppression coil and the capacitance of the line to ground are close to the power frequency resonance. The invention calculates the phase and amplitude of the output voltage, realizes the current extinction at the fault point by controlling the amplitude and phase of the controllable voltage source, and ensures the safe and stable operation of the power network and the failure point not to cause fire and other accidents.

The present invention relates to a method for achieve automatic driving curve generation between stations during operation by an automatic train driving system. The method comprises that: the system real timely acquires operation information of an automatic train monitoring system, train parameter information and track information of a track database; the driving curve information at each operation stage between the stations is real timely and adaptively calculated; the key point information at each operation stage between the stations is extracted and recorded according to the driving curve information; the best automatic driving curve of the train between the stations during the operation is real timely generated. With adopting the method for achieve the automatic driving curve generation between the stations during the operation by the automatic train driving system, a plurality of disadvantages of the train in the automatic driving process are effectively overcome; the advantages of higher comfort, good energy saving effect, high parking precision, easy adjustment, stable and reliable work performance, and wide application range are provided; the purposes of punctual operation, energy saving operation, high comfort operation, safe and smooth operation of the train are achieved, and the operation requirements of the CBTC system are completely met.

The invention provides a method for checking relay protection setting, which can be utilized to realize the real-time monitoring and exact reflection of power grid characters, ensure the correct calculation result of the relay protection setting and the safe and stable running of a whole power grid, and reflect the actual load currents to the check process of the protection setting. In the method, real-time data of an EMS (energy management system), an overhaul information system and a failure information system are acquired, and a real-time running mode is utilized to calculate a current value and branch coefficients at a protection switch in each analog failure state, thus the flexibility and selectivity of the protection is checked in real time.

The invention is a fluid bed gasification and combustion processing method for urban garbage. The hearth of a fluid bed garbage furnace (4) is composed of two parts of a low temperature gasification area and a high temperature combustion area, additives (f) such as limestone, kaolin, etc. are added to the garbage furnace (4); acid gases such as chlorine, sulfur, nitrogen, etc. are removed in the furnace; and the generation of dioxin is controlled in the furnace. A water cooling spiral slag cooler (5) and a vibration sieve (6) can be utilized to efficiently reduce heat loss of slag and recycle bed materials. The whole system requires no addition of auxiliary fuel, and has the characteristics of safe reliability, no odor emission, low investment and operating cost, less secondary pollutant discharge, high power generation efficiency, etc.

The invention discloses a short-term wind power prediction method based on integrated empirical mode decomposition and a deep belief network. The short-term wind power prediction method comprises the steps of: decomposing an original wind power sequence into a series of intrinsic mode functions with different features by adopting integrated empirical mode decomposition, calculating sample entropy of the original wind power sequence and the intrinsic mode functions, combining the intrinsic mode functions with similar sample entropy values into a new sequence, and forming a random component, a detail component and a trend component; selecting an input variable set by adopting a partial autocorrelation function; constructing a training sample set according to the input variable set of each component; and establishing a deep belief network short-term wind power prediction model for each component, and superposing prediction results of the components, so as to obtain a final short-term wind power predicted value. The short-term wind power prediction method provided by the invention effectively improves the short-term wind power prediction precision, and can effectively solve the wind power prediction problem of the electric power system, so as to provide more reliable guarantee for large-scale wind power integration.