24results about How to "Tightly coupled" patented technology

The application discloses a kind of fresh stewed bird's nest cold chain transport process temperature field monitoring method and system, belong to cold chain monitoring technical field.Through heat inertia pulse test, heat capacity and thermal resistance are obtained, which are respectively taken as node attribute and edge attribute;Optimize sensor distribution based on the principle of random walk entropy minimization;Construct a dynamically updated directed weighted heat propagation path graph;Using sparse deconvolution combined with system impulse response function matrix, separate event excitation and identify abnormal events;Linearize the heat balance inverse problem in the rolling time domain, reconstruct the product temperature sequence and heat flow vector, calculate the equivalent heat damage dose, and generate the solidified causal directed acyclic graph evidence chain.The above scheme integrates heat inertia into the graph model, realizes event and heat response separation, risk quantification and full-process traceability, effectively improves the accuracy and reliability of cold chain temperature monitoring.

The invention discloses a brushless motor with a double-sided stator. The brushless motor is composed of the stator, a main rotor, an auxiliary rotor and a fixed seat. The brushless motor is characterized in that two sides of coils of the stator are arranged equally, each group of coils is linked by a gap in the stator, the full winding directions of equal group wires are the same, adjacent groups of coils of 12 groups of combined coils are opposite in winding, the driving mode is the same as that of the brushless motor, the main rotor is combined with the auxiliary rotor, and two groups of permanent magnets are arranged equally in the same sequence in the circumferential arrangement. Adjacent permanent magnets have opposite magnetic poles. Compared with a traditional brushless motor (inner and outer rotors), the brushless motor has the advantages that the magnetic field distribution is more reasonable, the magnetic field energy can be fully and effectively utilized, the coupling of the magnetic field is tighter and the magnetic field utilization rate is high due to the combination of the double rotors, higher mechanical power can be output under the same input power, and the energy conversion efficiency of the motor is improved.

The invention discloses a ring main unit fault processing method and device, a storage medium and a program product, and belongs to the technical field of power distribution automation. The method comprises the following steps: deploying a current sensor, a voiceprint sensor, a vibration sensor and an arc light sensor in a ring main unit, and synchronously collecting an electrical signal, a sound signal, a vibration signal and an optical signal when a fault occurs; carrying out preprocessing and feature extraction on the collected multi-modal data to obtain multi-dimensional feature parameters such as current amplitude, spectrum features, vibration energy and light intensity features; and calculating fault confidence based on a weighted fusion algorithm, and outputting fault type and position information when the confidence exceeds a judgment threshold. By fusing electrical quantity and non-electrical quantity information, real fault and non-fault disturbance can be distinguished, atypical faults such as high-resistance grounding and arc faults can be accurately identified, the false alarm rate is reduced, the reliability and the intelligent level of a ring main unit protection system are improved, and the method is suitable for intelligent operation and maintenance scenes of an urban power distribution network.

The application discloses a deep roadway dynamic and static load source cooperation integrated strong support method and system, belongs to the underground engineering roadway intelligent support technical field, and the method is as follows: capturing surrounding rock stress and energy events, establishing a correlation model, dividing the roadway space into a global static load bearing area and a dynamic impact key protection area; constructing an ultra-large tonnage prestressed anchor cable / rod, erecting a collapsible heavy U-shaped steel support and spraying a steel fiber concrete to form a composite surface protection structure, and then evaluating the cooperation performance; in the static load bearing structure, active energy absorption units are additionally arranged between main anchor rods / cables, and passive energy dissipation units are filled between the U-shaped steel support and the concrete spraying layer. The system is as follows: a load fine identification module is used for distinguishing two types of loads and dividing areas; a main strong support subsystem is used for implementing active and passive cooperative support; a key area buffer subsystem is used for strengthening the impact key area; and an intelligent monitoring feedback platform is used for dynamically evaluating the performance. The application can significantly improve the overall stability of the deep roadway.

This invention discloses an entity relationship recognition method and apparatus for decision knowledge graphs. The method includes: retrieving a set of decision text information from a decision knowledge text database; preprocessing the set of decision text information to obtain a preprocessed dataset; and performing entity relationship recognition processing on the preprocessed dataset to obtain an entity relationship information set.

The invention discloses a fault processing method and device for a distributed micro-service system, equipment and a medium, relates to the technical field of communication, and aims to solve the problems of low real-time performance and poor precision of fault processing. Transient fault data is injected into the target micro-service group through a chaos injection unit, real-time abnormal data acquisition is performed through a non-intrusive probe, and a transient snapshot is generated; according to the transient snapshots, single-service micro-explosion segments are obtained, the single-service micro-explosion segments are aggregated based on the cross-service overlapping degree, a transient family is generated, index slopes, resource contention traces, log emergence frequencies and topological slices in the transient family are coded into multi-view time sequence vectors, the multi-view time sequence vectors are written into an index database, and the multi-view time sequence vectors are sent to a meta reinforcement learning training queue; in an isolation environment, according to the meta reinforcement learning training queue, performing meta reinforcement learning model training on the high-frequency abrupt change fault scene, and determining a meta strategy according to an instant reward function; and adjusting a chaos injection unit according to the meta-strategy, and carrying out fault processing operation on the distributed micro-service system.

The present application relates to the technical field of intelligent cockpit energy management and power dispatching control, and discloses a kind of dynamic adjustment method of intelligent cockpit equipment power priority.The power demand, minimum continuous power supply time, category and request state are collected by being numbered to all equipment, and the real needed equipment is screened out according to fixed period, the average power and reference duration are counted, the bidding factor is generated combined with category, relative power and relative duration, the factor is sorted and the assignable power is prefixed and cumulatively distributed, the priority is given and the record table is formed;the recursive delay count is carried out on the equipment with continuous request and not distributed at the end of the period, and the forced threshold is set;the fairness is guaranteed in the next period;the on-off instruction is executed at the same time, and the long-term non-requested equipment is identified and removed;if the conditions are met, it is included again, and the cycle is promoted.

The invention discloses an FPSO mooring system optimization design method, and particularly belongs to the technical field of ocean engineering mooring design. The method comprises the following steps: constructing an initial mooring model; optimization variables are defined, constraint conditions are determined, multiple sets of values of each set of optimization variables are assigned to the initial mooring model, and a multi-objective function is obtained; dynamically analyzing the optimization variables to generate an initial data set; based on the initial data set, establishing a multi-target agent model through an LSTM network; generating a new sample based on the initial data set by adopting an adaptive Latin hypercube sampling method; optimizing by using a genetic algorithm to obtain an optimized solution set; and carrying out real calculation on an optimal solution in the optimal solution set to obtain a simulation result, and judging whether constraint and performance requirements are met or not. According to the method, the problems of high cost and low efficiency of mooring design under complex sea conditions are solved, experience driving of the mooring scheme is changed into intelligent algorithm driving, and reliable technical guarantee is provided for large-scale deployment of the floating platform.

This utility model belongs to the technical field of duct reinforcement structure, and discloses a reinforcing support structure for a smoke-proof and exhaust composite duct. It includes a support beam, with a duct fixedly connected to its lower surface. The lower surface of the support beam has a slot with insertion holes. An installation block is installed within the slot. A reinforcing beam is fixedly connected to the lower surface of the installation block, and an installation beam is fixedly connected to the lower surface of the reinforcing beam. The installation beam has a slot with a connecting beam installed within it, and a second bolt is installed on the installation beam. Through the cooperation of the installation beam, slot, connecting beam, and second bolt, the two reinforcing beams are connected by the connecting beam, improving overall stability and transforming the independent reinforcing beams into a continuous load-bearing system. This increases the equivalent section modulus, significantly improving resistance to bending moment, shear, and torque. The integrated rigidity distribution reduces stress concentration at local weak sections, and the overall frame stiffness transmission path is more uniform.

This invention relates to the field of batteries, and more particularly to a nitrogen-doped carbon / tungsten diselenide nanosphere composite material, its preparation method, and its applications. This invention achieves tight coupling between few-layer WSe2 nanosheets and a nitrogen-doped carbon framework through a process combining complexation-polymerization and subsequent selenization. The resulting material consists of nanosphere particles, providing more electrochemical active sites and shortening the zinc ion diffusion distance. By introducing a nitrogen-doped carbon framework, this invention effectively improves the overall conductivity of the composite material and suppresses the stacking and aggregation of WSe2 nanosheets during charge and discharge, thereby significantly improving rate performance and cycle stability.

The invention discloses a small-scale high-resolution atmospheric pollution source tracking identification method and system, and the method comprises the steps: transmitting the obtained environment data of a to-be-detected position to an improved random reverse time Lagrange transport model, and carrying out the processing of the data, so as to obtain a small-scale high-resolution atmospheric pollution source result of the to-be-detected position, and carrying out the tracking identification of the small-scale high-resolution atmospheric pollution source. According to the improved random inverse-time Lagrange transport model, a calculation formula of height variation is obtained by using a new vertical interpolation calculation method on the basis of a Lagrange atmospheric pollution diffusion model, and a relationship between the random inverse-time Lagrange transport model and WRF is established; small-scale high-resolution atmosphere pollution source tracking identification is realized through a diffusion method of a random reverse-time Lagrange transport model, and the model is a backward time simulation model based on the random-time reverse-time Lagrange transport model, so that the efficiency is improved compared with forward time simulation.

The application discloses an adaptive path planning and pollution plume tracking method for underway monitoring, and comprises the following steps: a space model of a monitoring area is established by acquiring pose information, motion constraints and a sensor sampling period of a mobile measurement platform; pollution concentration and position information are collected in real time during platform travel to form observation data; a level set evolution method is used to construct and update a boundary representation of a pollution plume based on the observation data to depict the spatial variation of the plume; in combination with the boundary variation information, a rolling time domain optimization algorithm is used to generate a measurement path in a rolling update time range to guide adaptive adjustment of a travel route of the platform; the underway monitoring is completed by executing the path, and boundary tracking results of the pollution plume and corresponding spatial position determination results of pollution sources are output. The application is suitable for mobile monitoring and positioning tasks in complex environments.

The invention discloses a device and a method for detecting interface debonding of a hydraulic concrete structure repaired by FRP, and relates to the field of intelligent operation and maintenance of hydraulic engineering, the device comprises a probe and a host, the probe integrates acoustic detection and piezoelectric ceramic implantation functions, and can strike over the FRP surface and rapidly and preliminarily screen a debonding area through sound signal abnormity, and the probe is used for detecting the interface debonding of the hydraulic concrete structure repaired by the FRP. Precisely implanting a piezoelectric ceramic sensor and a matched curing agent into the debonding part by using the same probe to form a long-term monitoring point; by means of the method, the integrated operation process of rapid initial detection, fixed-point implantation and key detection is achieved. According to the invention, reliable implantation and stable signal acquisition of piezoelectric ceramics are realized, the problem of disjunction between detection of a traditional method and long-term monitoring and later detection is solved, and the device has the advantages of high integration level, capability of long-term fixed-point tracking and high applicability.

The utility model provides an in-memory computing array, an in-memory computing macro circuit and in-memory computing equipment, and the in-memory computing array comprises a memory unit group which can store data for computing; a calculation unit for performing a calculation operation; a latch capable of storing data read from the memory cell group; the global bit line switch is connected between a global bit line and the memory unit group, the global bit line can realize data interaction between the in-memory computing array and the outside, and the global bit line switch is configured to be switched off in response to a computing operation instruction, and the global bit line switch is configured to be switched off in response to the computing operation instruction. And reading data from the memory unit group to the latch for executing calculation operation, and closing the latch after the latch finishes data latching, so that the memory unit group reads / writes data through the global bit line, and the calculation operation and the read-write operation are parallel.

This invention discloses a charger PCBA fault detection method based on multimodal feature fusion, belonging to the field of electronic circuit fault detection technology. The method includes: applying a dynamic load to the charger PCBA under test, and simultaneously acquiring voltage ripple signals, electromagnetic radiation signals, and thermal distribution signals; performing time-frequency domain decomposition on the voltage ripple signal to obtain a ripple energy spectrum sequence, performing spectral broadening analysis on the electromagnetic radiation signal to obtain a radiation feature vector, and performing gradient calculation on the thermal distribution signal to obtain a thermal diffusion trajectory; inputting the above three modal data into a cross-feature mapping layer, generating a first interactive feature map through point-by-point multiplication and integration, and generating a second interactive feature map through bidirectional convolution; after concatenation, outputting a multimodal fusion feature tensor through a gated recurrent fusion unit, and then outputting the fault type and fault location of the charger PCBA by a fault discrimination network.

A fluidized bed gasification system for high-moisture lignite is disclosed. The outlet of the drying and pulverizing unit is connected to the inlet of the fluidized bed gasification unit. The outlet of the fluidized bed gasification unit is connected to the inlet of the sensible heat recovery unit. The outlet of the sensible heat recovery unit is connected to the inlet of the gas-solid separation unit. Part of the superheated steam discharged from the steam outlet of the sensible heat recovery unit goes downstream, and part of it enters the fluidized bed gasification unit together with oxygen. The outlet of the gas-solid separation unit is connected to the synthesis system. One outlet of the synthesis system discharges synthesis gas, and the other outlet discharges methane. The methane and air enter the hot air device for combustion to produce high-temperature flue gas, which enters the drying and pulverizing unit. The drying heat source of this invention comes from the combustion of methane produced by the system itself, and the steam required for gasification comes from the sensible heat recovery of the system's own synthesis gas. The material and energy coupling between each unit is close. This design reduces the dependence on external utilities and makes the device structure more compact.

The invention relates to the technical field of PVC material preparation, in particular to a slush molding PVC skin preparation process based on a modified PVC material, which comprises the following steps: heating a slush molding mold, conveying a material box containing PVC slush molding powder to the lower part of the slush molding mold, and connecting and coupling the material box and the slush molding mold; turning over the coupled material box and slush molding mold for a plurality of times, separating the material box from the slush molding mold after the redundant PVC slush molding powder falls into the material box, cooling the slush molding mold, and demolding to output a finished product slush molding skin; determining the interval duration between the heating moment and the cooling moment based on the average roughness of the sampling area in the finished product slush molding skin; the first overturning speed of the slush molding mold is determined based on the proportion of the number of defective products in the slush molding skin of the finished product; and the second overturning speed is determined based on the maximum thickness difference quantity of the finished product slush molding skin. According to the invention, the preparation accuracy of the PVC material is improved.

This invention discloses a method and system for intelligent game testing and verification of wireless communication signals. The method includes: determining the configuration information of the communicating system and the interfering system; configuring the communicating system and the interfering system according to the determined configuration information, and starting game testing after configuration; statistically analyzing the game test results to obtain statistical results for the communicating system and the interfering system; calculating indicators based on the statistical results for the communicating system and the interfering system to obtain indicators for the communicating system and the interfering system; performing a weighted comprehensive evaluation calculation based on the indicators for the communicating system and the interfering system to obtain a comprehensive evaluation result; and measuring the intelligent game capability of the tested communication system based on the comprehensive evaluation result. This invention solves the problem of weak coupling between intelligent game testing and evaluation of wireless communication signals and application scenarios, as well as the problems of poor adaptability of existing intelligent game testing and evaluation methods for wireless communication signals and incomplete indicator systems.

The application discloses a reconfigurable target detection coprocessor and method based on RISC-V, relates to the technical field of embedded artificial intelligence and computer architecture, and is connected with a RISC-V main processor and a system on chip (SoC) memory, wherein the reconfigurable target detection coprocessor based on RISC-V, the RISC-V main processor and the SoC memory are integrated in a system on chip (SoC) chip; the application generates hardware configuration information through the RISC-V main processor, combines a dynamically reconfigured programmable data exchange network, realizes software definition of a hardware data path, enables a single hardware platform to efficiently accelerate support for multiple target detection algorithms with different structures, and improves flexibility and versatility of multi-target detection; and the data path dynamically reconfigured by the control unit ensures close coupling between basic computing units, eliminates idle resources caused by data flow mismatch in a fixed architecture, and significantly improves utilization of the basic computing units.

The invention provides a coal sample temperature change resistivity testing device and a using method thereof, and relates to the technical field of petrophysics and experimental geophysics. The device comprises an insulation and heat preservation device used for providing an insulation environment and a heat preservation environment; the shaft type sample bin is arranged in the insulation heat preservation device and is used for containing a test coal sample column; the transmission mechanism is used for driving the shaft type sample bin to rotate; the resistivity tester is electrically coupled with the test coal sample column to measure the resistivity of the test coal sample column in real time; the temperature rising device is arranged in the insulation and heat preservation device and is thermally coupled with the test coal sample column to realize heating; the thermodetector is arranged in the insulation heat preservation device and is thermally coupled with the test coal sample column to measure the temperature in real time; and the chassis is used for fixing and supporting the resistivity tester, the heating device and the thermodetector. According to the method, the resistivity of the prepared standard coal sample can be accurately and continuously measured in a controllable temperature field, and key data is provided for researching the rule that the coal electrical property changes along with the temperature.

The invention provides a feeding mechanism which comprises a first conveying platform, at least part of the first conveying platform is movably arranged, and the first conveying platform is used for conveying trays; the second transmission platform and the first transmission platform are arranged in parallel; at least part of the first transferring assembly is movably arranged so that the material disc can be transferred to the second conveying platform from the first conveying platform, and a plurality of feeding areas are arranged on the second conveying platform; the feeding assembly is movably arranged along a preset track so that materials can be placed on the trays in the feeding area. The third conveying platform is arranged on the side, away from the first conveying platform, of the second conveying platform, and the third conveying platform is movably arranged; and at least part of the second transferring assembly is movably arranged, so that the trays in the feeding area are transferred to the third conveying platform to be conveyed. The feeding mechanism solves the problem that in the prior art, the working efficiency of a feeding mechanism is low.

The application discloses a variable fixed-wing aircraft for an air-land hybrid robot and belongs to the technical field of air-land hybrid robots. The variable fixed-wing aircraft comprises an air-land hybrid robot intermediate body, a pair of front engine control devices and a variable back wing device. The front engine control device comprises a two-degree-of-freedom control mechanism and a front aero-engine. The variable back wing device comprises a foldable wing, a wing control lever and a rear aero-engine. The foldable wing comprises a main wing, a left aileron and a right aileron. The rear aero-engine is installed in the middle of the main wing. The front end of the wing control lever is connected with the air-land hybrid robot intermediate body through an X-axis rotary control lever front end servo motor. The rear end of the wing control lever is connected with the main wing through an X-axis rotary control lever rear end servo motor. The aircraft can be assembled and coupled with a humanoid robot body to form an air-land hybrid robot, and has the characteristics of high flight efficiency, low energy consumption and wide application scenarios.

The present invention discloses a floating control method for a cross-medium water-air dual-purpose aircraft, which obtains the operation intention of an external host computer or an operator, and detects the medium environment parameters of the aircraft fuselage and the current motion state parameters of the aircraft; by sucking water from the environment or discharging water from the aircraft fuselage, the force condition of the aircraft in the water environment is changed, thereby realizing its floating control in the water environment. The present invention also discloses a floating control system for a cross-medium water-air dual-purpose aircraft, which includes: a detection module, a main control module and an actuator. In the system provided by the present invention, each device is tightly coupled and the system architecture is clear. The control method provided by the present invention is easy to control, and the aircraft can conveniently and efficiently control its own force condition when in a water environment, and can be conveniently implemented in a water environment and in the process of switching between a water environment and an air environment.

This utility model discloses a mine-use omnidirectional borehole stress monitoring sensor, including a pressure gauge, a hydraulic control valve block, a flexible pressure probe, and a capillary pressure guide tube. One end of the flexible pressure probe is connected to the hydraulic control valve block via the capillary pressure guide tube. A hand pump interface is fixedly installed on one side of the hydraulic control valve block, which is used to connect an external hand pump and pump hydraulic oil into the flexible pressure probe through the capillary pressure guide tube. The flexible pressure probe can sense pressure changes in any direction around the borehole, eliminating measurement blind spots and more realistically and comprehensively reflecting the three-dimensional stress state of deep rock masses. Its simple structure reduces the number of parts, lowers manufacturing complexity and failure rate, improves the overall sealing performance and long-term operational reliability of the system, avoids the problem of inconsistent coupling of multiple hydraulic cylinders, and improves measurement accuracy.