352results about How to "Strong integration" patented technology

The invention relates to the field of labeling equipment and in particular relates to a full-automatic PCB labeling machine and an implementation method thereof. The full-automatic PCB labeling machine comprises a frame, wherein a runner mechanism used for conveying PCBs is arranged in the frame; a label supply mechanism used for supplying label strips and stripping to-be-attached labels in the label strips is arranged at a position, which is positioned on the runner mechanism, in the frame; a labeling manipulator mechanism used for transferring and attaching the to-be-attached labels to the corresponding positions on the PCB is arranged at a position, which is positioned at the output end of the label supply mechanism, on the runner mechanism; and a labeling induction camera used for identifying position information of the to-be-attached labels of the PCB and label information is arranged on the labeling manipulator mechanism. According to the labeling machine disclosed by the invention, the on-line synchronization between production site information and an internal or external system information network can be realized by virtue of a network communication module in a control cabinet, the labels are attached to the surfaces of the PCBs or components with different angles, the labeling application range is wide, and the universality is high; and moreover, different materials can be adhered, the integration is high, the automation is high, the manual operation is not required, and the labeling sequence, labeling strength and frequency can be changed according to needs.

The invention relates to a wireless oiling and gassing method and system based on RFID and GPS technologies. The method includes: non-contact type IC card payment mode is adopted; electronic label is adopted as a vehicle authentication tool, the vehicle body is added with a source RFID label to identify the vehicle entering gas station, carry out authorized oiling on vehicle matched with an oiling card and realize one vehicle one card oiling; an RFID vehicle-bone intelligent controller is adopted, and travelling mileage of vehicle is recorded by a GPS system; a vehicle RFID sensing antenna is arranged at the reservoir port of vehicle, so as to read oiling data; a central data processing center oiling central controller is set, so as to centrally process all the information and data of oiling and store oiling data into a database; a gas station controller is set, so as to control the card-machine linkage of the entire gas station and oiling machine; an oiling machine controller is set, so as to control linkage of the oiling gun of the oiling machine and oil equipment; oiling vehicles are identified; and oiling is carried out on the oiling vehicles; and oiling is finished.

The invention relates to a microgrid-containing distribution network wiring mode planning and evaluation information system taking economy into account. The system comprises a database module, an input module, an analysis module, a planning and evaluation module and an output module, which are connected in sequence, wherein the input module acquires wiring modes, microgrid data and electrical equipment data from the database module; the analysis module analyzes and figures out the purchase-phase cost data and the run-phase cost data of the wiring modes according to data input by the input module, and sends the purchase-phase cost data and the run-phase cost data to the planning and evaluation module; according to the received data, the planning and evaluation module plans distributed generation in a microgrid first to obtain the annual cost per unit load of the microgrid, and then evaluates the economy of the wiring modes of a distribution network containing the microgrid; the output module outputs planning and evaluation results. Compared with the prior art, the system has the advantages of high efficiency, high conformability, capability of being closely associated with engineering practice, and the like.

The invention discloses a drawing architectural element identification method and system based on machine learning. The drawing architectural element identification method is based on the method of combining a rule and machine learning. Rule matching and mathematical modeling are conducted on vector diagram metainformation obtained from a drawing, the feature distribution law of an architectural element in the drawing is strictly and accurately analyzed through the training process, the data sets of a primitive database, an architectural element rule base and an architectural element feature base are formed, the architectural element identification method in the probability sense is obtained, and the recognition rate of an architectural element and a property parameter of the architectural element are further improved. The drawing architectural element identification system based on machine learning tries to break through the limitation of an existing drawing identification method, provides an efficient drawing analysis and identification tool for a metro design and construction department, and has the three advantages of being high in precision ratio, identification efficiency and intelligent degree.

The invention relates to a distributed photovoltaic power generation maximum consumption capability calculation system based on an active power distribution network. The system comprises an input module, an initialization module, a load flow calculation module, a particle swarm operation module and an output module; the input module is used to obtain a distribution network parameter, a photovoltaic power generation system parameter, a photovoltaic time sequence characteristic parameter, a load time sequence characteristic parameter, the number of various typical days in a year and an adaptive chaotic particle swarm algorithm parameter; the initialization module initializes a population by utilizing a chaotic algorithm, and each particle in the population represents a distributed photovoltaic access scheme; the load flow calculation module performs a load flow calculation considering active management and obtains adaptive values of the particles in a time section t; the particle swarm operation module performs a loop computation through adoption of an adaptive chaotic particle swarm algorithm and obtains a particle having an optimal total adaptive value; and the output module outputs an optimal distributed photovoltaic access scheme and the maximum year consumption amount under the distributed photovoltaic access scheme. Compared with the prior art, the system has the advantages of high calculation efficiency, high integration and the like, and is closely combined with the actual.

The invention discloses a flue gas composite phase change dust removal and desulfurization device. The device comprises a desulfurizing tower (10). The lower portion of the side wall of the desulfurizing tower (10) is connected with an inlet flue (11). The upper portion of the side wall of the desulfurizing tower (10) is connected with an outlet flue (12). A vortex phase changer (13) is arranged on the inlet flue (11) of the desulfurizing tower (10) and comprises a plurality of sets of atomization nozzles (18). The atomization nozzles (18) are symmetrically arranged on the side wall of the inlet flue (11). Openings of the atomization nozzles (18) face the interior of the inlet flue (11) and are eccentrically arranged relative to the inlet flue (11). Spraying water sprayed by the atomization nozzles (18) in the vortex phase changer (13) can enable flue gas in the inlet flue (11) to generate rotational flow. The invention further discloses a flue gas composite phase change dust removal and desulfurization technology. The composite phase change condensation principle is utilized for enabling supersaturated water vapor to be condensed on the surfaces of fine particles, and the fine particle collection efficiency of the desulfurizing tower is improved.

The invention provides a gradient composite material steel rail turnout coating prepared by laser cladding. The composite material is characterized in that a transition layer adopts a Fe-based alloy material, wherein the Fe-based alloy material comprises the following components of, in percentage by weight, 13wt%-17wt% of Cr, 3wt%-6wt% of Ni, 1wt%-1.5wt% of Si, 0.5wt%-1wt% of Mn, 0.3wt%-1.2wt% ofNb, 1wt%-1.5wt% of B, 0.05wt%-0.7wt% of C, 0.5wt%-1.2wt% of V, and the balance Fe; a strengthening layer is arranged above the transition layer, and the strengthening layer adopts a Fe-based metal nano-phase composite material. The preparation method comprises the following steps of preparing the Fe-based metal powder and the Fe-based metal nano-phase composite material coating; preheating a steelrail by using laser scanning heating so as to reduce the temperature gradient; preparing the gradient composite material coating on the surface of the steel rail by utilizing a laser cladding technology, and performing laser scanning heat treatment; and reducing the cooling rate after laser cladding, so that the martensite of the heat affected zone is prevented from being generated, and the cracking property of the coating is reduced. The prepared steel rail frog has the advantages that the hardness curve is smooth, the overall toughness and bearing performance are good, the strength and hardness is higher than a common heavy-load railway frog, the service life is longer, and manufacturing integration is relatively strong.

A metal annular gasket comprising an annular metal base plate; a compound layer integrally laminated on both surfaces of the annular metal base plate, the compound layer being made of synthetic resin or a rubber material mixed with a fiber material; and an annular seal layer having a circumferential covering portion which covers the inner circumferential edge of the annular metal plate and the inner circumferential edge of both compound layers, the compound layer being made of synthetic resin or a rubber material. The annular seal layer is formed such that the surface of the annular seal layer is so connected to the surfaces of the compound layer as to provide smooth transition in its thickness direction.

The invention relates to a comprehensive optimization system for a scheme of access of distributed power supplies and a microgrid to a power distribution system. The comprehensive optimization system includes: a database module used for storing various index models, each index model including at least one index; an input module used for calculating index data in a certain access scheme according to the index models in the database module; an analysis module used for reducing indexes according to relations between the index data and calculating a fuzzy membership degree value of each index after reduction; a comprehensive assessment module used for utilizing a combination weighting method to obtain a weighted value of each index, and calculating a comprehensive assessment score of the certain access scheme according to the fuzzy membership degree value and weighted value of each index; and an optimized output module used for obtaining an optimal access scheme according to the comprehensive assessment scores of a plurality of access schemes. Compared with the prior art, the comprehensive optimization system provided by the invention has the advantages of being high in efficiency and integration, being tightly combined with engineering practice, etc.

The invention discloses a commodity sequence recommendation method based on deep learning, and the method comprises the following steps: 1, obtaining a public commodity sequence purchased by a user, carrying out the preprocessing of the commodity sequence, and obtaining commodity names and the metadata of commodities; 2, taking the commodity names and metadata as input and transmitting the commodity names and the metadata to a designed sequence recommendation model, and obtaining a pre-training model, wherein the pre-training model is divided into an input layer, a coding layer, a multi-layerperceptron layer and a mapping layer; 3, selecting proper output on an output layer of the pre-training model as representation of a current sequence, performing further calculation to obtain a recommendation commodity list. According to the method, the two-way influence of daily shopping commodities is considered, an encoder-decoder structure is adopted, two-way modeling can be carried out on a commodity sequence, encoding information acquisition is superior to that of a one-way model, and final recommendation content can be optimized.

A short message center system and an implementation method thereof are disclosed in the present invention, to implement the short message center system with multi-network multi-plane structure. The short message center system includes a virtual short message office and at least two short message offices. Wherein the short message office includes a signaling processing module, a service processing module and SMPP AGENT module, the virtual short message office includes a forwarding module and a returning module, the forwarding module is used to, when the module of short message office is faulted, forward a message to be processed by the faulted module to a corresponding module in another short message office to be processed, the returning module is used to return a processing result to the short message office with faulted module.

The invention discloses a visible light and infrared thermal imaging binocular intelligent all-in-one machine and a processing method thereof. The all-in-one machine comprises an infrared optical system, an infrared detector, a processing module, a visible optical system, a visible light sensor and a data acquisition unit, wherein the processing module comprises an ARM main processor, a DSP (Digital Signal Processor), a video coder and a network output unit; the infrared detector acquires infrared video data through the infrared optical system; the visible light sensor acquires visible light video data through the visible optical system; and the two paths of video data are synchronously acquired through the data acquisition unit and are transferred to the ARM main processor to enable the ARM main processor to transfer the video data to the DSP for intelligent operation in a memory share way, the result of the intelligent operation is returned to the ARM main processor and is sent together with the two paths of video data to the video coder for coding, and after coding, the ARM main processor is responsible for correspondingly outputting the video data through the network output unit. The invention also discloses the processing method of the all-in-one machine.

The invention relates to a novel polarization tracker, belonging to the technical field of polarization tracking. The novel polarization tracker is mainly composed of four parts including an orthogonal mode coupler, a general signal input or output interface, a rotary rotor and a motor. The motor of the novel polarization tracker drives the rotary rotor to rotate in 360 DEG; and polarization matching is realized till a maximal signal pointing direction is tracked in a polarizing manner. The novel polarization tracker disclosed by the invention has the outstanding advantages that: signals are accurately tracked in the polarizing manner; the novel polarization tracker can be used as a receiving polarization tracker used for synthesizing two signals from two parallel ports and receiving required signals in the polarizing direction through rotation of the rotary rotor; and furthermore, the novel polarization tracker can be used as a transmitting polarization tracker used for receiving a satellite polarization signal through polarization tracking and transmitting by dividing the satellite polarization signal into two signals through the orthogonal mode coupler in the polarization tracker. According to the invention, the disadvantage of non-parallel output of two output arms of the existing polarization tracker can be solved; and furthermore, the novel polarization tracker disclosed by the invention is simple in structure, convenient to cascade and easier to process.

The invention relates to a vehicular diagnosis system for a hybrid power vehicle, which comprises an OBD controller, its I/O terminal being connected with I/O terminals of a peripheral controller and a diagnostic apparatus. The invention also discloses a diagnosis method for a vehicular diagnosis system of a hybrid power vehicle. The OBD controller is connected with the peripheral controller to unifiedly receive fault monitoring signal emitted from the peripheral controller, unifiedly perform adjustment and confirmation to the fault, store the fault information, and display the fault through a fault indication lamp; the diagnostic apparatus obtains the fault information stored in the OBD controller through a CAN bus and processes the fault. The invention is capable of receiving, adjusting, confirming and processing the fault, which has strong integration, simple structure, and convenient use.

The invention discloses a dynamic deployment system for vehicular cloud (VC) resources. The dynamic deployment system comprises a resource integration module, a resource management module and a resource maintenance module; the resource integration module is used for completing discovery, classification and encapsulation of the VC resources; the resource management module is used for performing unified dispatching of resource pools, such that information sharing and service collaboration are realized; the resource integration module and the resource management module are formed by a four-stage node mechanism; the four-stage node mechanism includes a VC resource management centre, a road side unit, an agent node and a user from the high stage to the low stage sequentially; the expansibility and the robustness of the system are improved through the four-stage node mechanism; simultaneously, the complexity and the dependency of the whole system are reduced; and influence to other nodes due to downtime of a single node can be avoided.

The invention discloses a misoperation-preventing interlocking apparatus. A grounding switch is connected with a grounding switch rotary shaft through a grounding switch connecting lever; a main bent plate is arranged in the cabinet body; the main bent plate moves up and down to drive an interlocking rotary shaft to rotate; the main bent plate is provided with a grounding switch rotary shaft baffle; when the main bent plate is positioned at the upper position, the front end part of the grounding switch rotary shaft is blocked by the grounding switch rotary shaft baffle; when the main bent plate is positioned at the lower position, the front end part of the grounding switch rotary shaft is exposed; the interlocking rotary shaft is equipped with an interlocking baffle and an interlocking propping plate which rotate along with the interlocking rotary shaft; and a handcart of a circuit breaker is provided with a handcart interlocking bent plate and a handcart limiting tongue-shaped plate. The misoperation-preventing interlocking apparatus provided by the invention is high in integration function, less in parts, compact in structure, and small in occupied space; the interlocking schemes are well arranged and closely linked, so that the interlocking reliability is high; and in addition, the ''five preventions'' interlocking requirement of the switch equipment is fully satisfied, so that the interlocking apparatus is high in safety in use.

The invention relates to equipment for analyzing physical properties of various particles, in particular to a multidimensional optical information sensor for analyzing physical properties of particles. The sensor comprises a laser source, a first focusing lens group, a diaphragm, a double-bellmouth flow pipe, an optical trap, a two-dimensional composite focusing system consisting of a hollow ellipsoidal reflecting surface and a second focusing lens group along the vertical direction of incident light, a diaphragm, a photoelectric detector, a two-dimensional spectral focusing system consisting of a lens and a planar mirror along the forward direction of incident light, a diaphragm and a photoelectric detector. The sensor can integrally acquire the particle light scattering universal transient optical information and convert to electrical signal, and has the characteristics of comprehensive and rich optical information and low light noise, the optical information acquisition system is compact in structure, and the application of optical lenses is flexible, thereby realizing integrated collection of four-dimensional optical information and completely reflecting the physical properties of various particles.

The invention discloses a DSP-based emergency lane monitoring system and a realizing method thereof. The DSP-based emergency lane monitoring system comprises a high-resolution camera, a DSP embedded experiment box and information processing equipment, wherein the high-resolution camera, the DSP embedded experiment box and the information processing equipment are successively connected in a data transmission manner. The high-resolution camera is mounted at a position where an image in the emergency lane and identification lines can be simultaneously acquired. Furthermore the single picture of the acquired video image frame has basic conditions for identifying a license plate. Lane identification line edge detection is performed on an input monitoring video flow, and then image dividing is performed. Vehicle determining is performed on an emergency lane area which is reserved after dividing. If no vehicle exists, image transmission of a next frame is performed. If a vehicle exists, license plate identification is performed. The DSP-based emergency lane monitoring system realizes processing of an acquired video image and directly identifies a fact whether the vehicle in the emergency lane breaks a role without snapshot, thereby saving snapshot time and improving real-time performance of a road monitoring system.