813 results about "Energy delivery" patented technology

The invention relates to the technical field of state monitoring, in particular to an energy state monitoring deduction method and system based on digital twinning, and the method comprises the following steps: obtaining a power value and a direction to construct a chain structure map, marking a mutation point to extract a linkage path, screening out an abnormal path, screening an available index, and combining state behaviors to form an evolution trajectory. And comparing the measured data to generate a mapping result. According to the method, through cooperative calculation of the multi-period node power change direction and the response time difference, the energy transfer path relation is defined by utilizing the construction of an inter-node chain transmission structure, and the node coincidence frequency is superposed in the multi-path sudden change behavior time sequence intersection statistics to realize the judgment and elimination of the abnormal path; path availability screening is realized based on response direction consistency of terminal nodes in residual paths, and accuracy improvement of energy flow anomaly identification, continuity guarantee of path deduction results and verification of equipment response states are realized.

The invention relates to the technical field of structural health monitoring, and particularly discloses a library body health monitoring and early warning system based on heterogeneous multi-source data fusion, and the system obtains library wall strain, environment wind load and three-dimensional deformation data in real time through a multi-source data collection module; high-risk, transitional and stable areas are divided by utilizing a space gridding layered mapping module and combining library body structure features, and risk sensitivity is improved through dynamic weight adjustment; the cross-frequency-domain association feature extraction module constructs a space-time-frequency domain feature matrix, fuses strain spectrum, wind load harmonic and deformation curvature data, and verifies feature credibility in combination with an adversarial generative network; the resonance risk dynamic identification module judges a resonance hot spot based on energy transfer path analysis and a modal cloud picture standing wave node line; and the closed-loop early warning module realizes graded early warning and strategy adaptive adjustment through encryption scanning, digital twin model iteration and dynamic threshold optimization.

The invention provides a dynamic cooperative speed regulation control system and method for a machine tool spindle and a feed shaft, and the method comprises the steps: building a spindle energy transmission model and a feed shaft load-motion model, and constructing a strong correlation coupling relation between the two through cutting power; collecting main shaft power, torque and rotating speed and feed shaft cutting force, acceleration and displacement data in real time, and fusing to generate a combined state vector; calculating spindle margin and time correction based on spindle actual power and torque, and identifying working condition abrupt change according to the joint state vector; the feeding speed and the cutting depth are dynamically adjusted with the spindle margin sum as the constraint condition, and a cooperative adjustment strategy is generated; and converting the cooperative adjustment strategy into a feed shaft motion instruction and executing the feed shaft motion instruction. By constructing a real-time coupling closed loop of'spindle power-torque-rotating speed 'and'feed shaft speed-acceleration-position', the spindle is always locked to operate in a maximum power-torque envelope efficient area, the speed of the feed shaft is dynamically adjusted according to the spindle margin, locked rotor is completely eradicated, and no-load is eliminated.

The invention discloses a pump set vibration monitoring method and system based on distributed sensing. The method comprises the steps that vibration collection signals and real-time working condition parameters of distributed sensing nodes are obtained, multi-node clock synchronization correction is executed, and synchronous vibration data frames are formed; time-frequency feature extraction is carried out on the multi-channel vibration data set, abnormal channels are identified through inter-channel consistency analysis, a local fault correlation frequency band is extracted, and a vibration feature vector is constructed; associating the vibration feature vector with a real-time working condition parameter to form a working condition-feature mapping table, identifying a feature mutation rotating speed point for the feature baseline, adaptively dividing a rotating speed interval to generate an adaptive working condition threshold value, and implementing out-of-limit detection to generate an abnormal trigger identifier; determining a traceability analysis window based on the abnormal trigger identifier, and executing multi-measuring-point coherence calculation and energy attenuation gradient analysis to construct an energy transfer link diagram; and finally, vibration source position positioning is performed to form fault source probability distribution, a fault mode label is matched, pump set vibration monitoring is completed, and quantitative positioning of a fault source is realized.

Techniques for capturing carbon dioxide (CO2) from atmospheric air include flowing the atmospheric air along a flow path comprising at least one energy transfer module, transferring energy from the at least one energy transfer module to the atmospheric air to form a CO2-rich gas stream in the flow path, flowing the CO2-rich gas stream along a gas-liquid interface in the flow path, flowing a CO2 capture solution along the gas-liquid interface to absorb CO2 from the CO2-rich gas stream into the CO2 capture solution and to form a CO2-lean gas stream, transferring energy from the CO2-lean gas stream to the at least one energy transfer module to form an exhaust CO2-lean gas stream.

The invention relates to the technical field of anti-fatigue of steel parts, and discloses an anti-fatigue system and method for a high-hardness steel part based on ultrasonic-shot blasting composite strengthening. The method comprises the steps that the macroscopic geometrical morphology, the microstructure and the dynamic stress-strain data of a target steel part are collected through a multi-mode sensing system, and a multi-physics field digital twinborn model is constructed through fusion; on the basis of fatigue damage feature distribution in the model, sorting by using an enhanced decision tree model, and triggering parameter configuration by using a priority over-critical value; synchronously calculating ultrasonic field regulation and control parameters and shot blasting trajectory planning parameters through an adaptive neural network algorithm; the parameters are injected into a digital twin model to simulate material response and energy transfer, data such as a microdefect closed state are output, and a parameter correction signal is generated through multi-dimensional consistency inspection. According to the method, precise control over composite strengthening is achieved, and the anti-fatigue performance of the high-hardness steel part is effectively improved.

The invention discloses a GPU accelerated multi-particle coupling Monte Carlo calculation method and device. The method comprises the following steps: asynchronously migrating geometric material parameters subjected to CPU serial processing and a basic database to a pre-allocated memory space in a GPU; operation parameters of the GPU are determined, and Monte Carlo simulation of the multi-particle coupling transportation process is realized in the GPU based on the operation parameters and the neutron nuclear reaction database; on the basis of an atom addition function of a CUDA parallel computing architecture, energy transfer data, obtained through Monte Carlo simulation, of particles and voxel grids in a multi-thread environment is efficiently summarized, energy deposition of the particles is determined, and a high-resolution three-dimensional energy deposition spatial distribution data set is generated. According to the method, high precision can be maintained, and meanwhile, the parallel computing capability of the GPU is fully utilized to realize multi-particle coupling transportation synchronous simulation, so that the computing efficiency of a complex radiation field is improved, and the dual requirements of different fields on high precision and real-time performance are met.

A multimodality or hybrid ablation system includes an ablation apparatus for creating a lesion in target tissue. The ablation apparatus has an ablation shaft including a handle, a first portion, an ablation portion, distal tip, at least one ablation energy delivery lumen, at least one ablation energy return lumen, and a stylet lumen that extends substantially along a length of the ablation shaft from the handle to at least the ablation portion. The ablation apparatus also includes a stylet that is capable of being inserted into the stylet lumen where the stylet is made of a shape-memory material. A plurality of electrodes are arranged on the ablation portion for measuring or verifying tissue contact with the tissue and applying a pulsed electric field. Optionally, the pulsed electric field may be applied after, contemporaneously, or for only a portion that the cryo-modality is applied to the target tissue.

The invention relates to a method for packaging perovskite quantum dots by photon sintering. The preparation method comprises the following steps: firstly, preparing turbid liquid of mesoporous silica nanoparticles; coating the surface of a substrate with the obtained turbid liquid, and drying to form a layer of uniform mesoporous silica nanoparticle array on the surface of the substrate; immersing the obtained substrate into a perovskite precursor solution, and carrying out ultrasonic treatment and crystallization to obtain a quantum dot crystallized substrate; and carrying out photon sintering packaging to obtain the perovskite quantum dots. According to the invention, mesoporous silica nanoparticles are used as a packaging material, a porous structure is used for confinement growth, quantum dots are uniformly dispersed in a submicron scale, accurate size control is realized, and quantum dot agglomeration is avoided. A photon sintering process is used, and packaging of quantum dots is realized through rapid energy transfer. According to the process, sintering can be completed at the millisecond level, surface traps and oxidation reactions possibly introduced in the traditional thermal annealing process are reduced, and the optical performance and stability of the quantum dots are further improved.

The invention discloses a furnace flue gas waste heat graded cycle power generation method and system, which combines multi-stage purification and temperature division utilization, and comprises the following steps: firstly, carrying out component analysis and desulfurization purification treatment on furnace flue gas, establishing a layered purification chain, and identifying an acid dew point area; a safe flue gas purification area is formed through material adaptability evaluation and corrosion control measures; then carrying out temperature gradient analysis and temperature field reconstruction on the purified flue gas, establishing a heat grade distribution mechanism and forming a gradient heat energy flow to realize complementary utilization of heat sources at different temperature sections; a water vapor main cycle and organic working medium auxiliary cycle cascade power generation system is constructed, and the magnetic suspension bearing technology is integrated to improve the auxiliary cycle power generation efficiency; establishing a heat balance parameter and optimizing a circulation network through heat matching degree monitoring and mismatch detection; and finally, an energy transfer matrix is constructed, distributed power generation configuration is formed through generator coupling analysis and rotating speed coordination control, stable electric energy output is completed, and efficient utilization of waste heat is achieved.

The invention discloses a real-time measurement method and system for martial arts striking mechanical characteristics, and belongs to the technical field of sports biomechanical measurement, and the method comprises a multi-sensor signal acquisition step, a mechanical characteristic extraction step, a biomechanical analysis step, a technical style evaluation step and a result output and feedback step. According to the system, an intelligent target and wearable sensor cooperative measurement framework is adopted, a piezoelectric force sensor array is arranged in the intelligent target to collect a three-dimensional impact force time history curve, and a wearable inertial measurement unit collects kinematics parameters; performing reverse dynamic analysis based on a rigid dynamic chain model, and calculating joint torque contribution and energy transfer efficiency; technical style identification is realized through matching with a mechanical characteristic fingerprint database; and outputting a striking mechanical parameter report and personalized training suggestions. The technical problem that the striking effect in traditional martial art training is difficult to quantitatively evaluate is solved.

Aspects of the present disclosure are directed to, for example, a method for determining a temperature distribution across an ablation catheter tip. The method including contacting tissue with a distal tip of an ablation catheter, receiving temperature data from a plurality of thermocouples distributed about the distal tip of the ablation catheter, and based on the received temperature data, determine a temperature distribution across the distal tip of the ablation catheter. Also disclosed is a method of controlling the temperature of an ablation catheter tip while creating a desired lesion using various energy sources and energy delivery methodologies.

A rail connector assembly for connecting a mobile machine to an electrically-conducting rail system includes a boom assembly, a trailing arm assembly and a contactor assembly. The boom assembly includes a main boom and a boom tip. A first end of the main boom is configured to be coupled to the mobile machine, and a second end of the main boom opposite to the first end is pivotably coupled to the boom tip. The boom tip includes an angled portion that extends at a non-zero angle from a longitudinal axis of the main boom. The trailing arm assembly is pivotably coupled to an end of the boom tip. The contactor assembly is pivotably coupled to an end of the trailing arm assembly.

The invention discloses an ultrasonic welding quality online detection system and method, and belongs to the technical field of laser non-contact measurement. According to the invention, the laser vibration measurement probe is rigidly coupled to the welding head to construct a follow-up-common-optical-path measurement unit, so that synchronous acquisition of vibration signals with zero mass loading is realized; further extracting an attenuation section after welding is finished from the signal, and inverting an equivalent modal damping ratio representing an interface energy dissipation state based on an exponential attenuation model; meanwhile, multi-dimensional physical indexes such as an energy transfer efficiency index Itrans and an input stability index Iin are calculated, and in combination with an energy absorption state index, collaborative fusion is carried out through a weighted fusion formula to obtain a comprehensive quality score; and finally, realizing quality attenuation early warning based on time sequence trend analysis of a scoring sequence. On-line sensing of the deep dynamic state in the welding process is achieved, the early defect recognition sensitivity and the system anti-interference capacity are remarkably improved, and the predictive maintenance capacity of quality degradation is achieved.

According to the method, a universe control equation set comprising a control equation, a free surface, upper and lower layer fluid interface continuity, structure-fluid interface continuity and fluid interface and seabed constraint conditions is constructed, and a vertical-horizontal decoupling modal analysis technology is combined, so that a multi-body radiation coupling model of the bottom-supported cylindrical array with relative motion between columns is provided; an intrinsic mode expansion technology is adopted to synchronously represent a joint radiation mechanism of a surface gravity wave and an internal wave, potential function space transformation and mode matching under a multi-column coordinate system are realized through a Graf addition theorem, and a radiation matrix coupling model considering a bottom-supported boundary constraint is constructed. According to the method, the wave-column coupling effect of the density layered interface can be accurately analyzed, a multi-column interference energy transfer path is quantified, and the modal truncation error is remarkably reduced.

The invention discloses a tooth profile grinding three-dimensional heat distribution reconstruction and structure evaluation method and system, and the method comprises the steps: building a three-dimensional tooth surface discrete grid through combining a grinding wheel motion track, a tooth surface geometric morphology and a grinding wheel macrostructure, and generating a contact unit set with a time label through track mapping and path continuity; grinding energy input and grinding wheel abrasive particle distribution difference are combined, a weighted energy diagram is constructed, a directed energy transfer path is formed under a grid adjacency relation, an energy flow mode is obtained through iterative diffusion, a time sequence convolution and offset extraction mechanism is introduced, a thermal migration disturbance condition reflecting local thermal diffusion abnormity is generated, the thermal migration disturbance condition is coupled with a three-dimensional grid, and a three-dimensional model is obtained. And driving an unsteady state heat conduction solver to obtain a tooth surface heat distribution field, extracting a tooth surface potential sensitive area set by using a structure evaluation operator, and realizing comprehensive evaluation of heat-force response and structure risks.

The invention relates to the technical field of automobile safety, in particular to a battery pack protection structure for a vehicle and the vehicle. The invention provides a battery pack protection structure for a vehicle. The battery pack protection structure comprises a protection body; wherein the protection body is configured to be installed between a front auxiliary frame and a battery pack of the vehicle; moreover, the protection body comprises a plurality of independent cavities which are sequentially arranged in the height direction of the vehicle, and each independent cavity extends in the width direction of the vehicle. The protection body adopts the design of a plurality of independent cavities which are sequentially arranged in the height direction of the vehicle and extend in the width direction of the vehicle, so that when the protection body is subjected to backward impact from the front auxiliary frame or scraping impact from the bottom, through the synergistic effect of the plurality of independent cavities, the protection body can be prevented from being damaged. And more efficient and controllable energy absorption and transmission are realized, so that an impact force peak value is more smoothly attenuated, and collision energy is more effectively prevented from being transmitted to a battery pack.

The invention belongs to the technical field of switching power supplies, and provides a multi-output flyback converter with a low cross regulation rate, which comprises a primary side loop comprising a switching tube and a primary side winding of a transformer, and the switching tube is used for controlling the energy transfer of the transformer; the secondary loop comprises a main output loop, a first secondary output loop and a second secondary output loop, the main output loop comprises a secondary winding of the transformer, and the secondary winding of the first secondary output loop is led out from the secondary winding of the main output loop through a tap; a secondary winding of the second secondary output loop is connected with an inductor; two ends of the inductor are connected with an energy absorption loop in parallel; and the feedback control loop is used for acquiring the sampling voltage of the main output loop, comparing the sampling voltage with the reference voltage, and controlling the output voltage of multi-path output by controlling the duty ratio of a switching tube. According to the flyback converter, the low cross adjustment rate of multi-path output of the flyback converter is realized, and mutual interference among the multi-path output is avoided.

The invention relates to a temperature control method of cooking equipment, on one hand, non-contact, non-intrusive, global and high-resolution perception of a temperature field of a target area in a cavity of the cooking equipment is realized by collecting multi-source temperature data and reconstructing temperature distribution of a reference temperature measurement plane parallel to a heating array; the problem of inaccuracy caused by dependence on finite point temperature measurement or simple coefficient estimation is solved; on the other hand, temperature deviation is calculated by coupling reconstructed temperature distribution and side wall temperature data, power is decided in combination with heat transfer characteristics in the normal direction of the heating array, accurate modeling and dynamic compensation of the heat transfer process in the three-dimensional space are achieved, and therefore the inherent temperature difference between the center and the edge of the cavity can be eliminated in a targeted mode; energy transfer loss caused by thermal resistance can be compensated; finally, through the step of independently controlling each heating unit according to the target power, a highly uniform and stable temperature field can be formed and maintained in the whole cooking process.

The application discloses a kind of kiln flue gas waste heat grading circulation power generation method and system, adopt multi-stage purification and temperature utilization combination, first, kiln flue gas is carried out component analysis and desulfurization purification treatment, establish layered purification chain and identify acid dew point area, form safe purification flue gas area by material adaptability evaluation and corrosion control measure;Then, temperature gradient analysis and temperature field reconstruction are carried out to purified flue gas, establish heat grade distribution mechanism and form cascade thermal energy flow, realize the complementary use of different temperature section heat source;Further, build the cascade power generation system of water vapor main cycle and organic working medium auxiliary cycle, integrate magnetic suspension bearing technology to improve auxiliary cycle power generation efficiency;Through heat matching degree monitoring and mismatch detection, establish heat balance parameter and optimize circulation network;Finally, build energy transfer matrix, through generator coupling analysis and speed coordination control, form distributed power generation configuration and complete stable electric energy output, realize the efficient use of waste heat.

An AI-based platform for enabling intelligent orchestration and management of power and energy is provided herein. The AI-based platform includes a digital twin system including a plurality of digital twins of energy operating assets, the plurality of digital twins of energy operating assets including at least one energy generation digital twin, energy storage digital twin, energy delivery digital twin, and / or energy consumption digital twin, and a set of energy simulation systems configured to generate a simulation of energy-related behavior of at least one of the plurality of digital twins of energy operating assets, and a machine-learning system configured to generate a predicted state of at least one of the energy operating assets. The simulation of energy-related behavior is based on historical patterns, current states, and the predicted state of at least one of the energy operating assets.

The invention discloses a double-cantilever-beam piezoelectric vibration energy collector based on an annular steady state, which comprises a piezoelectric transducer, an elastic cantilever beam, a magnet and a base, after the piezoelectric transducer is mounted on the elastic cantilever beam to form a double-layer composite cantilever beam, the magnet is mounted at the free end of the double-layer composite cantilever beam, nonlinear coupling is carried out through repulsive magnetic force, and the piezoelectric transducer is connected with the base. The two-dimensional annular potential well structure with the adjustable potential well is formed, and the energy collector can easily trigger large-amplitude inter-well movement through the potential well structure. Through the nonlinear coupling induced internal resonance effect, inter-well energy transfer and two-dimensional potential well modulation are realized, and vibration energy can be efficiently captured in a broadband without a large amount of energy input or a complex structure. According to the design, the collection efficiency of low-frequency, low-intensity and multi-direction environment vibration energy in a wide working bandwidth is good.

The invention provides a multi-factor influence static contact ablation loss and degradation evaluation method, which comprises the following steps: acquiring environmental condition parameters according to arc energy transfer distribution, fusing the environmental condition parameters into a simulation process, and determining a material loss initial rate; if the initial material loss rate exceeds a preset threshold value, analyzing the influence of arcing time on energy transfer through a neural network model, and judging an evaporation splashing proportion; carrying out data fusion on a material melting mechanism by adopting the evaporation splashing proportion to obtain an ablation depth quantized value; obtaining a nonlinear feature adjustment coefficient under the influence of multiple factors through the ablation depth quantized value, and determining a contact fault risk level; according to the contact fault risk level, iteratively optimizing the environmental condition variable by adopting finite element simulation to obtain a material loss accumulation curve; and if the material loss accumulation curve displays an acceleration trend, predicting the residual arcing time bearing capacity through a neural network, and judging the end point of life.

Examples of apparatus, methods, and compositions for endodontic treatments are described. The apparatus can include a fluid platform configured to substantially retain fluid in a tooth chamber during treatment. The fluid platform can help maintain fluid circulation in the tooth chamber as fluid flows into and out of the tooth chamber. The apparatus can also include a pressure wave generator configured to generate acoustic waves that can be used for cleaning root canals and tooth surfaces in the tooth chamber. Examples of pressure wave generators include a liquid jet, an electromagnetic energy delivery device, and an ultrasonic device. The fluid can include antiseptic or antibacterial solutions to assist in tooth cleaning. The fluid may be degassed to have a reduced dissolved gas content (compared to non-degassed fluids used in endodontic treatments), which may improve the effectiveness of the pressure wave generation or the cleaning.

In one aspect, a boom assembly for a mobile machine includes a front end and a rear end, and further includes an extendable and retractable boom. The boom includes a first end, a second end, a top wall extending from the first end to the second end, and a bottom wall extending from the first end and the second end, the bottom wall being opposed to the top wall, and a central wall. The central wall connects the top wall and the bottom wall so as to form a front compartment on one side of the central wall, and a rear compartment on a second side of the central wall, when the boom is in an extended position. A component of an actuator system is connected to the central wall and located within the rear compartment.

The invention relates to the technical field of central air conditioner control, and discloses a central air conditioner energy-saving disinfection and killing control method and system based on Internet of Things monitoring, and the method comprises the steps that temperature and humidity time sequence data monitored by the Internet of Things of a central air conditioner and a current and voltage parameter matrix of a high-voltage electrostatic disinfection and killing module are obtained; performing multi-modal feature fusion calculation to generate a multi-dimensional state matrix; establishing an energy consumption-disinfection associated nodal topology network, simulating an energy transfer path and outputting a synergistic effect probability value set; performing space-time correlation mapping operation to generate a sterilization-energy consumption coupling prediction curve; calculating an energy-saving efficiency factor and generating a standardized coupling coefficient thermodynamic diagram; and extracting the operation quantitative index, dynamically comparing the operation quantitative index with a preset threshold value, and generating a regulation and control scheme when the index breaks through the threshold value. According to the method, collaborative optimization control over energy conservation and disinfection of the central air conditioning system is achieved, the energy utilization efficiency is improved, the disinfection effect is guaranteed, and high adaptability and expandability are achieved.

A demand and supply planning method generates a supply-demand plan including information that specifies operation of an energy generation unit for each unit time in a microgrid having energy generation units being connected to an external energy supply system and generating energy while consuming fuel, an energy storage unit, and a load unit; by calculating an optimization problem related to an objective function including terms related to energy transfer from the external energy supply system in the microgrid and terms related to fuel consumption in the microgrid by using a constraint condition related to a relationship between information related to an operating duration time in each of the one or more energy generation units at a start time for generating the supply-demand plan and a minimum operation time constraint of the energy generation unit; and outputting the supply-demand plan based on a calculation result of the optimization problem.

An AI-based platform for enabling intelligent orchestration and management of power and energy is provided herein. The AI-based platform includes a set of adaptive, autonomous data handling systems, wherein each of the adaptive, autonomous data handling systems is configured to collect data relating to energy generation, energy storage, energy delivery, and / or energy consumption, wherein the data is collected from a set of edge devices that are in operational control of a set of distributed energy resources; and a set of intelligent agents configured to, by robotic process automation, autonomously adjust, based on the collected data, a set of operational parameters for such operational control.

The invention provides a traditional opera action analysis method and device fusing an energy field, equipment and a storage medium. Relates to the field of Chinese opera action analysis and digital protection. According to the method, a time-joint-energy field three-dimensional analysis model is constructed based on three-dimensional attitude, mechanical dynamic and thermal gradient data acquired by multi-modal motion capture. The method focuses on feature extraction and energy analysis at the same time, in the aspect of feature extraction, an adaptive derivative operator is adopted to accurately capture subtle motion changes, and curvature extreme value detection is applied to accurately position motion trajectory inflection points. In an energy analysis level, a diffusion tensor and source item intensity are calculated based on an energy transfer partial differential model. In addition, the energy transfer path and the key force application point in the throwing and recycling actions of the water sleeve are mainly analyzed, and the instantaneous action characteristics of the water sleeve are accurately captured. Finally, a visual analysis report is generated, accurate data support is provided for teaching, digital inheritance and virtual performance, and scientific evaluation and quantitative analysis of opera actions are achieved.

The invention provides a coupling stiffness disturbance type MEMS modal localization accelerometer, which is characterized in that a core sensing unit adopts a double-tuning-fork resonator parallel arrangement configuration, and an offset weak coupling resonance system is designed and constructed through the difference of equivalent support stiffness parameters. The outer tuning fork resonator is directly connected with the sensitive mass block, the inner tuning fork resonator realizes full-constraint fixation through a base anchor point, and the outer tuning fork resonator and the inner tuning fork resonator form a double-tuning-fork electrostatic weak coupling resonant structure through an electrostatic coupling parallel plate, so that energy transfer between resonant units is realized. The mechanism of the accelerometer is different from that of a traditional rigidity or quality disturbance mode localization sensor, when the accelerometer is subjected to the action of external acceleration, the inertial micro displacement of the accelerometer is converted into coupling rigidity change of the weak coupling resonance system, the resonance unit amplitude ratio of the weak coupling resonance system is detected through an external circuit, and the detection accuracy is improved. Therefore, the detection of coupling rigidity disturbance is realized, and finally the high-sensitivity detection of the measured acceleration is realized.