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.

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 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.

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.

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 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 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.