35results about How to "Logic compact" patented technology

The invention discloses a transformer vacuum oil injection system. The transformer vacuum oil injection system comprises a vacuumizing part, a transformer and an oil injection part which are connectedin sequence, the vacuumizing part communicates with the upper end of the transformer, and the oil injection part communicates with the lower end of the transformer; the oil injection part comprises avacuum oil injection pipe, an oil filter, a first oil tank, a second oil tank, an oil supplementing hanging tank, a first oil way, a second oil way, a third oil way, a fourth oil way and a fifth oilway. The first oil tank and the second oil tank both communicate with the oil filter, the second oil tank and the vacuum oil injection pipe communicate with the first oil tank, the oil supplementing hanging tank is connected with the oil filter and the first oil tank through communication pipelines, a transformer oil filling port is formed in the oil outlet of the oil supplementing hanging tank, and a vacuum oil filling port is formed in the vacuum oil injection pipe; all the modules are matched with one another, logic is tight, oil injection of the transformer under different using environments and requirements can be well met, integration of oil filtering, oil injection, vacuum oil injection and oil supplementing is achieved, and the vacuum oil injection effect is good.

The invention provides a selecting system. The selecting system comprises a database module and further comprises a measuring area range determining module, a site investigation module, a data processing module and a correction prompting module which are connected with each other in sequence. A method for selecting a taking-off and landing point for a fixed-wing unmanned aerial vehicle in an urbanarea comprises the steps of setting a height difference L of an unmanned aerial vehicle taking-off and landing point, pre-selecting a taking-off and landing area and selecting the taking-off and landing area in an optimized manner, determining the taking-off and landing point and implementing correction. According to the selecting system, real-time performance and high efficiency are realized, the accuracy is high, and the control degree is good; the optimized selection of the taking-off and landing point in the urban environment is rapidly realized according to a selection principle so thatthe aerial survey accuracy of the fixed-wing unmanned aerial vehicle is greatly improved; as the precondition that the unmanned aerial vehicle flies forwards for 10-20 m more during landing when the height difference of the taking-off and landing point is increased by 1 m every time is taken into consideration, and the correction step of preventing the unmanned aerial vehicle from being biased from a preset landing point is set, the taking-off and landing error is greatly reduced, the safety taking-off and landing of the unmanned aerial vehicle are guaranteed, the aerial survey cost of the unmanned aerial vehicle is greatly reduced, the workload is reduced, and the selecting system is more suitable for being popularized.

The invention relates to a multi-layer neural network model application platform, and the platform comprises a duration setting mechanism which is disposed at a media supervision end, and is used forinputting the time duration of a to-be-inputted television drama under the control of a worker; data input equipment which is connected with the duration setting mechanism and is used for inputting the television drama of the to-be-identified type; and type acquisition equipment which is used for uniformly selecting a fixed number of frame pictures with main resolution output by the resolution processing mechanism according to a time sequence to serve as input data of the multilayer neural network model, and calling and operating the multilayer neural network model to obtain the television drama type. The multi-layer neural network model application platform is compact in logic and convenient to control. As the artificial intelligence mode is adopted to automatically identify the type of each input television drama, the television drama identification speed and efficiency are improved.

The invention belongs to the field of rare earth metal preparation, and specifically relates to a short-flow method for preparing low-oxygen high-purity rare earth metal. Using high-purity rare earth oxides as raw materials for electrolysis in a fluoride molten salt system, the cathode precipitates rare earth metals, and collects them in the crucible, and then uses the casting device of the present invention to regularly take out the rare earth metals from the crucible, and the casting tank is filled with rare earths Lift the casting tank with the molten metal, quickly close the liquid injection pipe and the pumping / inflating pipe of the casting tank, then remove the casting tank, and cast the low-oxygen high-purity rare earth metals produced in the casting tank. The invention has simple operation, low oxygen content and high purity of the prepared rare earth metal, short process flow and low cost, and can fundamentally solve the difficult problem of low-oxygen and high-purity rare earth metal preparation.

The invention provides a photo plasma control system based on an electric light source. The photo plasma controls system based on the electric light source comprises a main control module, a logic calling module, a photo plasma concentration module and a display alarm module, wherein the photo plasma concentration module comprises a photo plasma generation module, a photo plasma concentration control module, a photo plasma concentration detection module and a data processing module. The control system is intellectualized on the whole, strict in logic, perfect in monitoring and high in workingefficiency and is capable of intelligently controlling the concentration of photo plasmas. The invention also provides a control method of the photo plasma control system based on the electric light source. The control method has the beneficial effects that the control method is simple and efficient; the variation of photo plasma concentration is intelligently controlled by using a specialized computerized algorithm and a mathematical relationship; the problem that as the concentration of the photo plasmas decreases with the passage of time in natural environments, the using requirements cannot be satisfied, and the using effect is seriously affected, is avoided; and the control method has strong practicability and is worthy of popularization.

The invention relates to an intelligent warehouse fire alarm system through multi-point push and an alarm method thereof. The alarm system includes a main controller, and also comprises an informationacquisition module, an information processing module, a transmission module and a voice module, wherein the information acquisition module, the information processing module, the transmission moduleand the voice module are connected with the main controller, the information acquisition module, the transmission module and the voice module are connected with the information processing module, andthe voice module is connected with the transmission module. The system is simple and efficient. All the modules are cooperated with each other, and the logic is strict. Through multi-point push, the system is timely and effective, is high in sensitivity, is high in control ability, and can improve the fire response ability of a warehouse. Meanwhile, relevant people can be notified in a timely, efficient and accurate manner and make a response in the shortest time, thereby reducing losses caused by the fire to the minimum and greatly guaranteeing life and property safety of people. The system is more practical and is more suitable for popularization.

The present invention relates to the field of traffic monitoring video detection, in particular to a method, device and storage medium for detecting abnormality of a target based on traffic monitoring video, detecting a missing moving target and determining a candidate target ID; extracting a preset in the last image frame where the candidate target ID appears The moving target ID within the area is the suspected target ID, and the suspected collision event is determined by the distance between the suspected target ID and the equivalent line segment of the candidate target ID; the suspected collision event is determined according to the speed parameters corresponding to the suspected collision ID and the candidate target ID in the suspected collision event Whether the collision event is a traffic accident event; the embodiment of the present invention combines traffic accident science and computer vision technology to establish a rule model based on prior knowledge, which can accurately and quickly identify traffic accidents, and is applicable to all types of traffic participants and different The traffic flow state; and the embodiment of the present invention has compact logic and small amount of computation, and can meet the requirements of real-time operation.

The invention relates to the technical field of integrated circuit computer-aided design, in particular to a construction method for a multi-layer-chip efficient X-structure obstacle-avoiding router. The method comprises the following steps: step S1, according to a group of given pin coordinate positions, generating a 3D-OFMST (3D Obstacle-free Minimal Spanning Tree) connected with all pins based on a fast multi-fragmentation minimal spanning tree (MST); step S2, calculating XRPs (X Routing Paths) of all edges in the 3D-OFMST, and saving the calculated information to two records to generate two lookup tables; step S3, based on the lookup tables, transforming each edge of the 3D-OFMST to an XRP to generate an ML-XST (Multi-layer X-architecture Steiner Tree), and transforming the ML-XSTs to an ML-OAXST (Multi-layer Obstacle-avoiding X-architecture Steiner Tree); step S4, further optimizing the ML-OAXST from global and local perspectives so as to generate a final ML-OAXSMT.

The invention discloses a method for judging the groove debris flow occurring possibility at present and the groove debris flow occurring possibility in future. The method for judging the groove debris flow occurring possibility at present includes the steps of S1, selecting a groove, and using the formula (please refer to the specifications for the detailed formula) to calculate the hs, S2, using the formula to calculate the h0, and S3, comparing to judge whether the h0 is larger than or equal to the hs or not, issuing a debris flow alarm starting information if the h0 is larger than or equal to the hs, and being free of issuing the debris flow alarm starting information if the h0 is smaller than the hs. The method for judging the groove debris flow occurring possibility in future includes the steps of S1, selecting the groove, and using the formula to calculate the Q0', S2, using the formula to calculate the Q0, S3, using the formula to calculate the Cq, and using the formula to calculate the n, S4, using the forecast precipitation information issued by the meteorological department, and respectively obtaining P1, P2, P3...Pi, S5, using the formula to calculate the Qi, S6, solving S7, comparing to judge whether the Pi is larger than or equal to the P0 or not, and using the iteration method to determine the hi, and S8, comparing to judge whether the hi is larger than or equal to the hs or not, issuing the debris flow forecast starting information if the hi is larger than or equal to the hs, and being free of issuing the debris flow forecast starting information if the hi is smaller than the hs. The method is concise in technological process and accurate in judged conclusion.

The invention belongs to the field of rare earth alloy preparation, in particular to a method for preparing a low-oxygen high-purity rare earth alloy. Electrolysis is carried out in a molten salt system with high-purity rare earth oxides or chlorides as raw materials. The anode is graphite, and the cathode is a consumable rod of alloying elements. During the electrolysis process, the cathode is self-consumed and interdiffused with the precipitated rare earth metal to form a rare earth alloy, which is collected at the bottom of the electrolytic tank, and then the casting device of the present invention is used to regularly take out the rare earth alloy from the crucible, and the casting tank is filled with the rare earth alloy melt. Lift the casting tank, quickly close the liquid injection pipe and the pumping / inflating pipe at both ends of the casting tank, and then remove the casting tank, and the low-oxygen high-purity rare earth alloy is produced in the casting tank. The invention has the advantages of simple operation, low oxygen content and high purity of the prepared rare earth alloy, short process flow, high yield and low cost, and can fundamentally solve the difficult problem of preparing low-oxygen high-purity rare earth alloy.

The invention relates to a thin-wall hollow fiber number selection system and a corresponding terminal. The terminal comprises a plurality of fiber dialysis devices, wherein each fiber dialysis device comprises a shell and a preset number of thin-wall hollow fibers, the preset number of thin-wall hollow fibers are embedded in the corresponding shell, and the numbers of the thin-wall hollow fibers of various fiber dialysis devices are different; and a type selection device which is connected with a body type identification device and is used for selecting the corresponding type of fiber dialysis device based on a received human body entity volume. The thin-wall hollow fiber number selection system and the corresponding terminal are compact in logic and have a certain self-adaptive level. The dialysis device with the corresponding number of thin-wall hollow fibers is selected to execute dialysis operation on the basis of a volume estimation result of a human body to be dialyzed, so that different types of suitable dialyzers can be selected for human bodies with different body types.

An ozone control system based on an electric light source comprises a master control module, a logic calling module, an ozone concentration module and a display alarming module. The ozone concentration module comprises an ozone generating module, an ozone concentration control module, an ozone concentration detection module and a data processing module. The control system is intelligent overall, high in logicality, complete in monitoring and high in working efficiency, and the ozone concentration can be controlled intelligently. The invention further provides a control method of the ozone control system based on the electric light source. The method is simple and efficient, a special computerized algorithm and a mathematical relationship are used for intelligently controlling ozone concentration changes, the problem that the concentration of ozone is lowered in the natural environment with time, consequently the application demands cannot be met, and the application effect is severelyinfluenced are avoided, the practicability is higher, and the ozone control system and the control method are worthier of popularization.

The invention relates to a big data enhanced signal analysis system, and the system comprises a rear camera which is disposed behind a goal of an ice hockey field, and is used for carrying out the image capturing of a scene in front of the goal; the big data processing mechanism is used for performing salt and pepper noise filtering and edge sharpening processing on the ultra-high-definition picture to obtain a two-stage enhanced picture; and the line-crossing processing equipment is used for determining whether the ice hockey body successfully crosses the line or not based on each imaging depth of field corresponding to each pixel point in the sphere identification area and each imaging depth of field corresponding to each pixel point in the boundary line identification area. The invention also relates to a big data enhanced signal analysis method. The big data enhanced signal analysis system and method are reliable in judgment and compact in logic. On the basis of providing an image optimization mechanism for big data processing, a two-stage analysis mechanism is adopted to effectively judge whether the whole ice hockey body crosses the boundary or not, so that the intelligent level of ice hockey site management is improved.

Provided is a control system and method based on assisted braking of a new energy resource vehicle. The control system comprise a main control module, a digital signal processing module, a positive-negative power supply module, an A / D acquisition module, a CAN communication module, a signal driving module, a driving module, a drive protection circuit, an electrifying and pre-charging circuit and fault protection circuit, wherein the modules cooperate with each other, the circuit work normally, the logic is close, the response speed is high, and the control precision is high. The control methodadopts a main control program, an auxiliary control program, a normal working mode and a fault processing mode, wherein primary fault diagnosis and temperature fault diagnosis are included in the fault processing mode, the shortcoming of insufficient braking under specific conditions is overcome on the premise that braking of the original vehicle is not affected, normal and efficient work of thecircuits is ensured, the braking efficiency is improved, an application condition range is widened, a battery can be effectively protected, the service life of the battery is prolonged, abrasion of amain brake of the vehicle is reduced, and safe, reliable and quick braking of the vehicle is achieved.

A task joint execution method based on genetic algorithm, the execution system used in the execution method includes a user module, a service mode selection module and a genetic algorithm optimization module, the execution method includes the following steps: the working process of the user module; service mode selection The working process of the module; the working process of the genetic algorithm optimization module; at first, the present invention proposes a new time series matching method to obtain the user request history records consistent with the user request and with the smallest time interval, so as to provide a basis for the future service model. Selection provides guidance; secondly, the present invention proposes a mapping-level service mode and a cloud-level service mode to realize seamless switching of services and ensure service reliability; finally, a genetic algorithm is used to find the optimal task joint execution strategy. The invention can effectively realize the goals of low energy consumption and high reliability, avoids the inherent defect of mobile terminal resource limitation, and provides users with lower energy consumption, continuous, high-quality and reliable services.

The invention discloses a method for dividing complex process modules oriented to mass customization, and proposes a method for dividing models at the process level by means of the characteristic relationship between processes corresponding to workpieces, by constructing a fuzzy correlation matrix between process modules , use the fuzzy clustering analysis method to convert and solve it, obtain the transitive closure matrix, form a module cluster diagram according to different partition threshold sequences, and obtain different module division schemes by selecting different λ values, with tight logic, precise control, and Efficient, in order to achieve fast and efficient production of personalized finished products that adapt to market and technological changes and high-level requirements for perfect craftsmanship.

The selection system used in the present invention includes a database module, and also includes a sequentially connected measurement area range determination module, a field survey module, a data processing module, and a correction reminder module; The steps of the height difference L of the take-off and landing point of the UAV, the pre-selection step of the take-off and landing area, the optimization step of the take-off and landing area, the steps of determining the take-off and landing point and implementing the correction step; Quickly realize the optimization of take-off and landing points in the urban environment, greatly improving the aerial survey accuracy of fixed-wing UAVs, taking into account the premise that when the height difference of take-off and landing points increases by 1m, the UAV will fly forward 10-20m more when landing Conditions, set the correction steps to prevent the drone from deviating from the scheduled landing point, greatly reduce the take-off and landing error, ensure the safe take-off and landing of the drone, greatly reduce the aerial survey cost of the drone, and reduce the workload , which is more suitable for promotion.

The invention provides a photo plasma control system based on an electric light source. The photo plasma controls system based on the electric light source comprises a main control module, a logic calling module, a photo plasma concentration module and a display alarm module, wherein the photo plasma concentration module comprises a photo plasma generation module, a photo plasma concentration control module, a photo plasma concentration detection module and a data processing module. The control system is intellectualized on the whole, strict in logic, perfect in monitoring and high in workingefficiency and is capable of intelligently controlling the concentration of photo plasmas. The invention also provides a control method of the photo plasma control system based on the electric light source. The control method has the beneficial effects that the control method is simple and efficient; the variation of photo plasma concentration is intelligently controlled by using a specialized computerized algorithm and a mathematical relationship; the problem that as the concentration of the photo plasmas decreases with the passage of time in natural environments, the using requirements cannot be satisfied, and the using effect is seriously affected, is avoided; and the control method has strong practicability and is worthy of popularization.

A method for verifying data integrity in a cloud environment based on fully homomorphic encryption, including the steps of initializing parameters, initializing secret keys, generating homomorphic tags, storing files and tags, users initiating verification challenges, generating integrity evidence, and verifying integrity evidence ; Adopt fully homomorphic encryption algorithm and mixed data dynamic data operation algorithm to perform data encryption, security verification and performance optimization respectively, so as to achieve the purpose of verifying the security of data stored on the cloud platform. The verification method first uses the method of fully homomorphic encryption to generate homomorphic tags; secondly, uses the homomorphic tags to verify the integrity of data remotely; thirdly, uses the analysis method of dynamic operation of mixed data to perform dynamic operations on encrypted data; Finally, safety analysis is carried out. Not only can it efficiently support users' multi-granularity dynamic operations, but it can also reduce the communication overhead of users performing dynamic operations and auditors performing remote data integrity verification processes.