128results about How to "Large use space" patented technology

The invention discloses a high-voltage circuit breaker mechanical state monitoring and fault diagnosis method. The method comprises the following steps of 1) according to the historical fault data statistics result of high-voltage circuit breakers, carrying out an artificial fault simulation experiment on some common high-voltage circuit breakers to obtain fault data; 2) analyzing the fault current data, and extracting the current data characteristic quantity of each mechanism fault to be used as one of state diagnosis classification basis; 3) analyzing a fault vibration signal, adopting wavelet packet decomposition and sample entropy for processing high-frequency and low-frequency components to obtain corresponding wavelet packet relative energy and sample entropy respectively to be usedas vibration signal characteristic quantities; and 4) performing dimensionality reduction on the vibration signal characteristic quantities through principal component analysis to be used as one of state diagnosis classification basis, and carrying out state diagnosis on the circuit breaker by a support vector machine. By adoption of the method, the multi-dimensional information of the fault statecan be effectively utilized, so that the development of multi-parameter multi-dimensional mapping fault diagnosis of the circuit breaker can be promoted.

The invention discloses a thermoplastic elastic self-sealing film and a preparation method thereof. The film is mainly prepared from the following components in part by weight: 100 parts of matrix resin, 100 to 140 parts of wax, 10 to 100 parts of thickening agent and 1 to 30 parts of filler. The preparation method comprises the following steps of: fusing and mixing the components except the matrix resin in a ratio; adding the matrix resin, and performing fusing and mixing; and delivering the obtained melt to a hot melt T-shaped crack die head for coating, rolling and forming the film. The thermoplastic elastic self-sealing film has the advantages of no stickiness on the original surface of the film, easy packaging and transporting, no stickiness to hands, and ideal permeability and resilience; and the preparation process is simple and easy to operate.

It is a detecting ischemia modified albumin (IMA) reagent kit and detection method, and the reagent kit contains different division to remove the background interference material device, which can be centrifugal ultrafiltration IMA detection reagent kit, immunomagnetic beads IMA detection reagent kit, immunochromatography IMA detection reagent kit, immune chromatography membrane IMA detection board reagent kit or immune membrane filtration plate IMA detection reagent kit. After division removal of the background interference material, it can enhance the specific of detection IMA reagent kit and detection method, and using this reagent kit and hospital existing equipments, in about half an hour, it can measure the IMA value to diagnosis myocardial ischemia symptoms. Particularly suitable for bedside rapid detection kit development, ease to use, low cost, it is a very development promising product.

The present invention discloses a strapdown inertial combination measurement control device applicable to all-fibre digital clinometer, it is used for measuring well course of oil well and gas well, in particular it is applicable to conventional measurement with line and measurement while drilling. Said control device adopts strapdown inertial navigation principle, and utilizes main navigation system formed from optical-fibre gyroscope and anti-vibration accelerometer, under the condition of different working environments and measurement accuracy requirements respectively utilizes several external information of logging cable rope length, flux-gate sensor and zero speed and combines kalman filter so as to make system error estimation and correction of main inertial navigation system, and can limit error diffusion of inertial navigation system and form a high-accuracy combination inertial measurement instrument.

The invention discloses a demand side response-based microgrid optimal unit and time-of-use electricity price optimization method, which comprises the following steps: (1) acquiring supply and demandhistorical data of a microgrid, including internal load data of the microgrid, a supply situation of distributed regenerable energy and basic information of all types of energy supply units; (2) analyzing outputs of all energy supply systems by using the historical data so as to analyze a supply and demand situation in the microgrid; (3) setting an optimized target function subjected to distributed optimization; (4) performing optimized solving by using a particle swarm search algorithm and an interior point method. According to the demand side response-based microgrid optimal unit and time-of-use electricity price optimization method disclosed by the invention, the supply situation of the regenerable energy of the microgrid and a demand side response under the excitation of time-of-use electricity price are organically combined, and an optimal unit combination of the microgrid and a time-of-use electricity price strategy are subjected to the distributed optimization through the particle swarm search algorithm and the interior point method, so that the problems of extremely high operation cost of the microgrid and too large lack of internal loads are effectively relieved, and the electricity use demand of a user can be well met.

The invention discloses a method for constructing a high-performance monitoring platform of Internet of Things equipment. The method comprises the following steps: 1) constructing a load balancing layer; 2) constructing a protocol analysis layer; 3) constructing a message forwarding layer; and 4) constructing a real-time computing center. The method constructs an Internet of Things equipment monitoring platform with a high performance characteristic by combining the layered architecture design with the Nginx, Netty, Kafka and Flink technologies, and the high performance is specifically shown as high concurrency, high availability, high scalability and high expandability.

The invention discloses a method of achieving highway go-through reservation based on an ETC system. The method comprises steps of 1) obtaining basic data including road network historical data and vehicle owner reservation information; 2) carrying out traffic volume forecast using the data and congestion degree conversion; 3) carrying out rate calculation according to a traffic volume forecast result; 4) displaying a congestion degree and a charge result together on a road network using a visual method; and 5) carrying out path selection, reservation and payment according to a result by a vehicle owner. The invention combines highway charging and congestion dispersal, road condition information of a highway can be presented for the vehicle owner and a highway operation and management department on the travel day through a method of reserving payment by the user, and peak load shifting adjustment of highway trips is achieved using economic levers, and thus the highway congestion problem is effectively solved.

The invention provides a wear-resisting anti-flaming poplar solid flooring which is mainly composed of a modified solid flooring billet layer, and a preparation method of the wear-resisting anti-flaming poplar solid flooring; the wear-resisting anti-flaming poplar solid flooring sequentially comprises a balance moisture-proof layer, the modified solid flooring billet layer, a color blending layer, an ultrathin natural veneer decoration layer and a wear-resisting layer from bottom to top. The method comprises the steps of preparing a composite modified impregnation liquid and performing technologies of vacuum pressurization dipping treatment, drying, assembling and pressing and the like on woods. A composite modification processing technique of the invention enables the strength of poplar to be increased, the stability of the poplar to be enhanced, and enables the poplar to have properties of wear resistance, flame retardant, mildew prevention and anticorrosion and the like, so that the utilization value of artificial poplar is improved greatly. The method is simple and easy; and the wear-resisting anti-flaming poplar solid flooring processed by the method has the advantages of scratch resistance, wear resistance, flame retardant, mildew prevention, anticorrosion, easiness in maintenance, natural textures, comfort, environmental protection and high cost performance.

The invention discloses an individualized pelvic floor rehabilitation training method. The individualized pelvic floor rehabilitation training method allocates a pelvic floor pressure acquisition device and pelvic floor rehabilitation training software firstly, performs pelvic floor muscle force test secondly, and finally makes an individualized training scheme according to the test result so as to perform individualized pelvic floor rehabilitation training. The method includes the steps: 1) editing personal information; 2) transmitting and controlling data; 3) testing the pressure of a pelvicfloor; 4) recording and analyzing the pelvic floor muscle force level in each circulation test in all the test circulation at this time; and 5) performing pelvic floor rehabilitation training according to the training scheme acquired and recommended from the step 4. The method for setting the training scheme individually according to different muscle forces of different persons or the same personat different stages is implemented, and user training is targeted. The method uses an international perineum muscle force evaluation standard to evaluate the muscle force of the user, can achieve individual setting of the training scheme, can automatically complete test and evaluation of the muscle force by software, and is fast and accurate.

The invention discloses a Bluetooth connection method. The Bluetooth connection method comprises the steps of obtaining a target physical address of terminal equipment needing to be connected; addingthe target physical address to the pairing broadcast, and broadcasting the pairing broadcast, so as to enable the terminal device to send a Bluetooth pairing connection request to the Bluetooth remotecontroller after receiving the pairing broadcast and determining that the target physical address is the physical address of the terminal equipment; when a Bluetooth pairing connection request is received, checking whether a connection physical address in the Bluetooth pairing connection request is a target physical address or not; and if the connection physical address is the target physical address, establishing Bluetooth connection with the terminal equipment. According to the method, the Bluetooth remote controller adds the target physical address of the terminal device needing to be connected to the pairing broadcast, it can be ensured that the terminal device can uniquely determine the Bluetooth remote controller needing to be connected, and the problems that connection between theBluetooth remote controller and the terminal device is difficult and wrong are effectively solved. The invention further provides a Bluetooth remote controller, terminal equipment and a storage medium, which have the above beneficial effects.

The invention discloses a human body behavior identification method based on point cloud data, which comprises the following steps: 1) acquiring basic data including depth map data and camera parameters; 2) preprocessing the data, including smoothing the depth map, converting the depth map to a point cloud, and normalizing the point cloud data; and 3) inputting the processed data into the networkfor behavior recognition, and providing deep learning human body behavior recognition based on the point cloud data, so that the point cloud data obtained from the depth map can be directly utilized for human body behavior recognition, and a good result is obtained.

The invention discloses a multi-thread uploading optimization method based on memory allocation. The method comprises the steps of 1) acquiring basic data of a current operation user; 2) preprocessingan uploading request by utilizing obtained information; 3) judging whether slicing and multi-thread uploading are needed or not according to the size of an uploaded file; 4) storing a temporary fileof the uploaded file in a designated cache position according to a current idle memory condition of a server; 5) recording metadata information of the uploaded file in a database; and 6) writing the temporary file in a cache into a disk position in which the file finally needs to be stored. Starting from two aspects of service logic and server memory management, a client and the server cooperate,so that relatively high uploading success rate is achieved when network conditions are relatively poor; and meanwhile, a breakpoint resume function is supported, so that the uploading speed of the client and the bandwidth utilization rate of the server are improved.

the invention disclose a food preserve and pack method including the following steps: 1) deliver the conjoined package box with the food inside to the packing, sealing and cutting area; 2) the sealing and cutting device (2) presses on the film coating so that the film and the support device will surround the foods and forms a seal cavity; (3) the air pumper evacuates; then pumper aerates into the cavity with protective gases. 4) the sealing and cutting device (2) pressure heat seals the cavity after the aerating; 5)the fluctuating pressure device(1) cuts the package box from the film coating; 6) the deliver mechanism delivers out the sealed package box. Above process including deliver in, locate, film coating press, evacuate, aerate, heat seal, cutand deliver out all finish continuously on a single machine. Each process is controlled by control logic made up of relays or PLC. The invention not only saves the package material, lowers the cost, enhance the efficiency but greatly varies the package patterns, and the preservation is effective and environmental,

Provided is a linear voice coil motor which comprises a motor housing, a magnet, a yoke, a coil frame, a coil, a leaf spring, and a compression spring. The leaf spring comprises an inner reed loop, an outer reed loop, and a reed filament connected with the inner reed loop and the outer reed loop. The outer reed loop is coupled to the yoke. The inner reed loop is coupled to the coil frame. The coil frame and the yoke are in radial connection through the leaf spring. The compression spring is disposed under the coil frame and forms elastic support on the coil frame in the axial direction. The coil is fixed to the coil frame and may motion relative to the magnet and the yoke in the axial direction when alive. The linear voice coil motor has advantages of large radial stiffness, resistance to axial impact, high motion precision, simple structure, low dynamic load, and steady operation, and can be widely used in industrial automation fields and high precision control occasions.

A deposition apparatus is provided that includes a plurality of line-type evaporation sources provided to be arranged in a predetermined direction; and a movement and support device which supports the plurality of line-type evaporation sources so as to be individually movable in the arrangement direction and / or longitudinal direction of the evaporation sources.

The invention discloses a direct current transmission line protection method based on mathematical morphological gradient and mathematical morphological entropy, which comprises the following steps: 1) acquiring a direct current line voltage signal and carrying out line-mode conversion on the voltage signal; 2) constructing an improved morphological filter, filtering out noise singular points in aline mode voltage signal, performing multi-scale morphological gradient processing, and constructing a fault starting criterion according to the processing result; 3) carrying out multi-scale mathematical morphological gradient processing on the fault signals, constructing mathematical morphological entropy, a fault criterion of an inner region and an outer region and a fault criterion of an anode and a cathode by utilizing mathematical morphological gradient processing results under different scales. The direct current transmission line protection method based on mathematical morphological gradient and mathematical morphological entropy can quickly filter out the noise singular points in the signal, and quickly and accurately achieve fault identification through multi-scale mathematicalmorphological gradient and morphological entropy.

The invention discloses a support vector regression machine fusion-based expressway road section mean velocity estimation method. The method includes the following steps that: 1) an expressway to be researched is selected, and basic data are obtained; 2) a road section mean velocity is obtained through using a trajectory method-based correction algorithm and according to fee charging data; 3) passenger service vehicles and hazardous article transport vehicles of which the single operating mileage exceeds 800 kilometers are adopted as floating vehicles, a road section mean velocity is obtained through using a speed-time integral model and a weighted average method; and 4) a support vector regression machine fusion algorithm is adopted to fuse the two road section mean velocities, so that a support vector regression machine fusion-based expressway road section mean velocity can be obtained. According to the support vector regression machine fusion-based expressway road section mean velocity estimation method of the invention, expressway road section fee charging data and Beidou satellite positioning system data about the passenger service vehicles and hazardous article transport vehicles of which the single operating mileage exceeds 800 kilometers are combined, the fused road section mean velocity is obtained through the support vector regression machine method, and therefore, the accuracy of velocity estimation is improved, the daily monitoring and emergency disposal of expressway managers can be benefitted, and the operational efficiency of expressways can be effectively improved.

The invention discloses a noise-like data low-frequency oscillation identification method based on a double-covariance random subspace. The noise-like data low-frequency oscillation identification method comprises the steps: 1), processing a noise-like signal of a power system through the double-covariance random subspace, obtaining poles of two groups of features, and defining the poles as a verification group H1 and a reference group H2; 2) screening same-order poles of the two groups of poles to obtain physical poles, and forming a stable graph; and 3) performing system clustering on physical poles obtained through screening so as to obtain the final real modal parameters. According to the noise-like data low-frequency oscillation identification method, the defects that an existing recognition method is insufficient in data size and cannot automatically determine orders are overcome, and efficient and accurate beforehand low-frequency oscillation parameter recognition is achieved through the double-covariance random subspace and the system clustering method.

The invention provides an underground reverse storey-adding construction method for an overpass column pier foundation. Active underpinning is carried out on an overpass twice; settlement deformationof the overpass caused by underpinning load on the overpass is continuously compensated in the construction process; during the first active underpinning, the deformed settlement of the overpass generated in the underground space development construction is eliminated by using a temporary underpinning structure and a hydraulic jack; and during the second active underpinning, the deformed settlement of a reconstructed overpass column in permanent use is eliminated by using a hydraulic steel pipe support; therefore, the safety and stability of the overpass in the normal operation are guaranteed;and by using a newly-developed underground space structure as the foundation of a temporary underpinning system, a lot of underpinning pile foundations are saved. In addition, by using a newly-developed basement top slab as the permanent foundation of the overpass column, the underground reverse storey-adding construction method for the overpass column pier foundation has the advantages that thepile foundations and bearing platforms of the overpass column are reduced, the column distance in the axis net of the underground space can be made larger and the use space is made wider.

The invention discloses an island detection and stability control method of a four-terminal DC distribution network, which comprises the following steps: 1) an island detection main criterion based ona switch state combination; 2) flow-free base Assistant Criterion of Compound Pressure Difference for Island Detection; 3) islanding stability control based on DC transformer and energy storage. Theinvention combines the main criterion based on the combination of switching states and the main criterion based on no-current. Combined with the auxiliary criterion of differential voltage compound, the islanding of four-terminal HVDC distribution network is detected and the islanding detector is designed. When the islanding detector detects the islanding, it switches the control mode of DC transformer and energy storage of T3 to realize the stable control of the islanding, so as to maintain the stable operation of the whole islanding power network.

The invention discloses an examinee information checking method based on face recognition, and the method comprises the steps: 1) obtaining the basic data, and obtaining the examinee information datawhich comprises an admission certificate number, an identity card number, a photo, and the like; 2) acquiring examinee facial features, and generating an examinee information database; 3) scanning thetwo-dimensional code of the admission certificate, and checking admission certificate information; 4) scanning the identity card and checking the identity card information; And 5) scanning the examinee face, obtaining examinee face features, and checking whether the examinee is the person. The artificial intelligence is innovatively applied to examinee information checking, the checking process is simple and efficient, the checking result is scientific and accurate, a large amount of manpower and material resources are liberated, meanwhile, the situation that an invigilator subjectively judges mistakes, and consequently examination replacement behaviors are generated is avoided, and the examination fairness principle is guaranteed.

The invention discloses an emergency linkage disposal process model mining method for emergencies. The method comprises the following steps: 1) obtaining basic data including event log records of an emergency linkage disposal process; 2) mining an emergency linkage disposal process model of each organization by utilizing the event log records; 3) mining a cooperation mode between any two organizations by utilizing the mined emergency linkage disposal process models of different organizations; and 4) integrating the excavated emergency linkage disposal process models of different organizationsand the cooperation mode between the organizations to obtain a global emergency linkage disposal process model. According to the invention, a traditional process mining technology and a cross-organization collaborative process mining technology are combined, the limitation that a traditional process mining technology only mines event log records of a single organization is broken through, the technology is applied to model construction of the emergency linkage disposal process of emergencies, and the critical decision-making efficiency and effect when the emergencies happen are effectively improved.

The invention discloses a mining system for a marginal oil field with marine heavy oil and a method. The system comprises an oil / gas processing and storage subsystem, an underwater production subsystem and a mobile steam preparation and injection subsystem, wherein the mobile steam preparation and injection subsystem comprises a carrying module, an oil storage tank, a water storage tank, a steam preparation module and a steam injection module, and the carrying module adopts a self-propelled ship with a host or a host-free towed floating structure. The method comprises steam preparation, steam injection, oil / gas production and oil / gas processing and storage and transport. Since the mobile steam preparation and injection subsystem adopts the self-propelled ship or the non-self-propelled marine floating structure, a sufficient deck area is provided to carry the steam preparation module and the steam injection module; and oil and freshwater can be stored in a large compartment, a mobile real-time marine heat source is formed, steam and hot water can be prepared, and the problems of heat losses of the steam or the hot water in transportation can be solved due to the mobility.

The invention discloses a Petri network-based chemical leakage event emergency disposal process performance analysis method. The method comprises the steps of 1) analyzing emergency tasks involved ina chemical leakage event emergency disposal process and associated time information and resource information; 2) performing formalized modeling on the whole emergency disposal process of the chemicalleakage event based on a Petri network; 3) under the condition of not considering resource factors, analyzing the time performance based on a Petri net model of a chemical leakage event emergency disposal process; 4) under the condition of considering resource factors, proposing a detection algorithm of potential resource conflicts; and 5) proposing a conflict resolution strategy based on the taskpriority, and analyzing the time performance of the emergency disposal process of the chemical leakage event after the strategy is applied. According to the invention, a conflict detection method anda strategy for eliminating resource conflicts are provided and applied to model construction of the emergency disposal process of the chemical leakage events, and actual application of time performance analysis of the emergency disposal process of the chemical leakage events is promoted.

The invention discloses an island detection and smooth switching control method for a two-end flexible direct-current power transmission network. The method comprises the following steps of 1) applying an island detection main criterion based on switch state combination; 2) applying an island detection auxiliary criterion of voltage difference out-of-limit based on the voltage break variable start; and 3) operating an island smooth switching control method based on a given current working condition voltage. According to the method, the main criterion based on switch state combination and the island detection auxiliary criterion of voltage difference out-of-limit based on the voltage break variable start are combined to carry out island detection on the two-end flexible direct-current powertransmission network, an island detector is designed, and when the island detector detects an island, the island smooth switching control method of which a reference value is changed from the currentworking condition voltage to a rated value according to a preset slope is designed, so that the island smooth switching control of the two-end flexible direct-current power transmission network is realized.

The invention belongs to the field of packaging materials, and discloses a packaging material for an electronic product and a preparation method of the packaging material. The preparation method comprises the following steps that 1, polyvinyl chloride, polyethylene glycol terephthalate, Polyethylene glycol 200 diacrylate, fluorinated ethylene-propylene, octenyl succinic acid modified starch, styrene-butadiene rubber, polyarylether, poly(vinyl alcohol)phthalate and polyethylene glycol succinate are taken by weight and are stirred; 2, the material stirred in the step 1 is extruded through a double-screw extruder, and pelleting is carried out after extruding; 3, the pelleted material is rolled and molded, and after cooling, the material is prepared into the packaging material for the electronic product. The prepared packaging material has very good tearing strength and elongation at break, and has very good prospects when used for sealing, dust prevention and dampness prevention of the electronic product.

The invention discloses a cascading-type pulse tube refrigerator capable of recycling sound power. The cascading-type pulse tube refrigerator comprises a master grade pulse tube refrigerator unit, a conveying tube, an auxiliary grade pulse tube refrigerator unit and a heat bridge, wherein the master grade pulse tube refrigerator unit, the conveying tube, the auxiliary grade pulse tube refrigerator unit and the heat bridge are sequentially connected. An auxiliary grade rear cooler of the auxiliary grade pulse tube refrigerator unit and a master grade hot end heat exchanger of the master grade pulse tube refrigerator unit are connected through the conveying tube so as to recycle the sound power. According to the cascading-type pulse tube refrigerator capable of recycling the sound power, an auxiliary grade cold end heat exchanger of the auxiliary grade pulse tube refrigerator unit is connected with a master grade heat regenerator of the master grade pulse tube refrigerator unit through the heat bridge, and the extra refrigerating capacity obtained by the recycled sound power is used for precooling a certain portion of the master grade heat regenerator so as to reduce the temperature of a working medium of the master grade pulse tube refrigerator unit; compared with a traditional pulse tube refrigerator, efficiency of the cascading-type pulse tube refrigerator can be remarkably improved; the cascading-type pulse tube refrigerator has good application prospects on the occasion where the large refrigerating capacity, the high efficiency and the long service life are required.

The invention discloses an embedded convolutional neural network acceleration method based on ARM, which overcomes the shortage of hardware resources of embedded equipment and the problem of high computational complexity of the convolutional neural network. The time-consuming convolution of 1*1 and 3*3 depth separable convolution are commonly used in lightweight convolution neural networks, and are optimized by using ARM NEON technique. In particular, the 1*1 convolution is first rearranged, then ARM NEON vector optimization is used to optimize the 3*3 depth separable convolution, which speedsup the computation of convolution neural network and makes full use of the hardware computation resources of embedded equipment, so that the convolution neural network deployed in the embedded terminal runs faster and more practical.

The invention discloses a business process event log sampling method and a business process event log sampling system. The method comprises the following steps: obtaining the number of activities and the number of direct following activities of an event log, respectively calculating an activity representative value and a direct following activity representative value of the event log, and an average activity representative value and an average direct following activity representative value of each track in the event log, and sorting according to the track representative values, and finally, generating a sampling log by adopting a specific sampling rate. The invention provides a new method and system for solving the problems that an existing process discovery method cannot correctly process information in large-scale event logs and can cause low efficiency of a discovery process model, representative sample logs can be effectively obtained through sampling, and the time complexity of large-scale event log process discovery is greatly reduced.

The invention discloses an online optimization method for the secondary side water outlet temperature of a central air-conditioning chilled water heat exchanger. The online optimization method comprises the steps of (1) acquiring the temperature data and cooling load data measured in a central air-conditioning chilled water distribution system at the current moment online; (2) setting the search range and the search step size of the secondary side water outlet temperature set value of the heat exchanger and generating all possible alternative temperature set values at the next moment; (3) establishing a prediction model, calculating the operation energy consumption of a primary side water pump of the heat exchanger and the operation energy consumption of a secondary side water pump of theheat exchanger respectively and adding the operation energy consumption of the primary side water pump of the heat exchanger and the operation energy consumption of the secondary side water pump of the heat exchanger together to obtain the total energy consumption of the water pumps; and (4) determining the optimal secondary side temperature set value of the heat exchanger at the next moment, andminimizing the total energy consumption of the primary side water pump and the secondary side water pump of the heat exchanger. By establishing the prediction model, online optimizing the set value of the secondary side chilled water outlet temperature of the heat exchanger under the current cooling load working condition and minimizing the operation energy consumption of the chilled water pumpson the two sides of the heat exchanger, energy-saving operation of a central air-conditioning system is realized.