1406 results about "Vibrational energy" patented technology

A concrete mortar mixing and stirring system belongs to the technical field of concrete production equipment. Aiming at the problems that an existing stirring system is difficult to accurately judge the mixing uniformity of concrete mortar and the quality is easily influenced due to excessive stirring or insufficient stirring, the system comprises a stirring tank, a vibration signal acquisition unit, a torque monitoring unit and a control unit, stirring blades in a stirring tank are driven by a motor, a vibration signal acquisition unit captures a tank body vibration signal, a torque monitoring unit detects the torque change of the motor, and a control unit decomposes the tank body vibration signal into a frequency domain signal and extracts a preset aggregate collision vibration frequency band energy value to generate a vibration energy sequence; and analyzing the torque change fluctuation intensity to generate a torque variation coefficient sequence, calculating a correlation coefficient sequence of the two, generating an adaptive shutdown threshold by a sliding time window, and cutting off a motor power supply when the correlation coefficient sequence is continuously lower than the threshold for a preset number of times. The device is mainly used for automatic stirring control of concrete mortar, and precise starting and stopping of the stirring process are achieved.

The invention relates to the technical field of damping and shock absorption, in particular to a damping-adjustable composite shock absorption system for textile printing and dyeing equipment, which comprises a bottom plate and a top plate, a first shock absorption unit and a movable plate are mounted between the bottom plate and the top plate, and a first buffer spring is fixedly connected between the top plate and the movable plate; a second damping unit is installed between the movable plate and the bottom plate. During damping, vibration is buffered through telescopic deformation of a first buffer spring and a second buffer spring, oil liquid is pushed to flow in backflow oil pipes through vertical movement of a first piston rod, vibration energy is consumed through friction force between the oil liquid and the backflow oil pipes, and vibration of a machine body is restrained; the different backflow oil pipes are switched to be communicated with the oil storage cavity through the switching mechanism, the longer the backflow oil pipes are, the larger the on-way resistance when oil passes through the backflow oil pipes is, the higher the damping force is, and the damping device can be conveniently installed on textile printing and dyeing equipment with different vibration intensities for damping.

The invention belongs to the technical field of vibration analysis and testing of bearings, and particularly relates to a cam driven bearing wear degree monitoring method and system, and the method comprises the steps: carrying out the equal-angle resampling processing of a vibration signal through a rotating speed signal, decomposing an obtained angular domain vibration signal into a plurality of mode components through a variational mode decomposition algorithm, and carrying out the measurement of the vibration signal; according to the kurtosis value of each modal component and the correlation coefficient of each modal component and the original vibration signal, evaluating the impact saliency weight of each modal component, and performing weighted summation on the energy of each modal component to obtain comprehensive impact energy; calculating to obtain a speed decoupling wear index without the influence of the rotating speed by utilizing the comprehensive impact energy and the vibration energy calculated by the physical mapping model; and the speed decoupling wear index is compared with a preset self-adaptive alarm threshold value, and the wear state of the cam driven bearing is judged according to a comparison result. According to the invention, the problems of false alarm and missing alarm under the variable-speed working condition are solved.

The invention relates to the technical field of motor fault diagnosis, and discloses a multi-degree-of-freedom resonant excitation motor dynamic vibration test system and a test method, the system injects a specific harmonic current into a motor through closed-loop control and calculation and a high-bandwidth harmonic injection driver, so that the actual vibration of the tested motor tracks a preset target vibration profile in real time. In the testing process, the cross-spectral density of multi-point vibration signals is analyzed, and a transmission path and a collection area of vibration energy in a motor structure are calculated; and meanwhile, the electromagnetic impedance and the mechanical impedance of the motor are identified and decoupled on line by superposing a broadband disturbance signal in the driving current. In combination with energy flow analysis and an impedance decoupling result, the method can accurately position a vibration abnormal position, clearly causes whether a fault source is from mechanical structure characteristic change or electromagnetic part performance change from a physical level, and realizes deep and accurate diagnosis of the dynamic characteristics of the motor.

The invention relates to the technical field of supply chain monitoring, and particularly discloses an automatic sensor detection method and system based on a supply chain, and the method comprises the steps: generating a hierarchical pressure gradient field and an event node distribution diagram through obtaining the transportation vibration energy; if a creep coefficient resetting algorithm is triggered, mapping the event node graph into a weighted directed graph, extracting a key conduction path, and positioning an unpacking release type drift node; and introducing an unpacking stress correction term expansion cross-correlation entropy model, and determining a priority compensation strategy in combination with a time window information entropy to realize dynamic correction of sensor drift. The system comprises a hierarchy analysis module, a topology construction module, a lag positioning module and a drift compensation module. Through cross-scale modeling of vibration energy, material creep and drift compensation, the problem of sensor reading lag caused by stress accumulation in a supply chain can be reduced, and the packaging optimization decision efficiency is improved.

The invention discloses a tuned mass vibration damper with controllable damping, and relates to the field of vibration control of offshore wind power generation equipment structures. The mass damping unit is arranged in a suspended mode, the clamping ring is coaxially arranged, the electromagnetic damping units are evenly distributed in the circumferential direction of the clamping ring, and the electromagnetic damping units are connected with the mass damping unit through winding ropes which are arranged in a radial mode to form a multidirectional synergistic composite damping system; the mass damping unit generates reverse inertia force in vibration to restrain movement of the tower and drives the electromagnetic damping unit to act at the same time, the generator is driven to generate electromagnetic damping through the one-way bearing and the speed increaser, and lossless reset is achieved through the torsion ring. The device is integrated with an energy recovery unit, vibration energy is converted into electric energy to be stored, real-time regulation and control of damping force, omni-directional vibration response and energy feedback are achieved, and the vibration reduction efficiency and the energy utilization rate are remarkably improved.

The invention belongs to the technical field of rolling bearing manufacturing, and discloses a preparation method of a high-precision robot turntable bearing, which comprises the following steps: applying a static load simulating a preset working load to a bearing ring workpiece subjected to heat treatment, and executing a set of closed-loop acoustic vibration treatment on the workpiece in a state of keeping the static load, the processing can dynamically track the resonant frequency of the workpiece to update excitation, can monitor acoustic response characteristic parameters of the workpiece in real time, and automatically terminates when the time change rate of the parameters meets a stable condition. According to the method, the specific directivity is provided for the stress release process driven by acoustic vibration energy, so that an original disordered residual stress field in a workpiece forms an optimized form capable of actively adapting to future working loads, and the problem that the static geometric precision and the dynamic service precision of a bearing are inconsistent in a traditional process is solved.

The invention discloses a multi-source information fusion fault diagnosis method based on an improved DS evidence theory, and relates to the technical field of industrial equipment state monitoring and intelligent fault diagnosis, and the method comprises the steps: extracting multi-scale vibration energy and impact characteristics, a thermal load change rate and oil physical and chemical characteristics through synchronously collecting vibration, temperature and lubricating oil multi-source operation information; and constructing a unified feature vector and inputting the unified feature vector into the deep belief network to realize initial probability distribution of normal, early warning and fault working conditions. The cross-modal evidence conflict is evaluated and corrected by constructing a feature coupling index, a conflict degree and a confidence entropy index, and the interference of inconsistent evidences on a diagnosis result is inhibited; and further introducing a time sequence evidence library and improving a DS recursive fusion mechanism, depicting time evolution of an equipment operation state, and constructing a health trend index to realize evolutionary fault early warning. And finally, the model is updated in combination with diagnosis result feedback, self-learning optimization and closed-loop fusion of fault diagnosis are realized, and the diagnosis accuracy and stability are improved.

The invention relates to the technical field of hoisting load unmanned aerial vehicles, in particular to a hoisting load unmanned aerial vehicle load distribution algorithm, which comprises the following steps: acquiring attitude data, load position coordinates and quality of an unmanned aerial vehicle body in real time, and detecting environment wind field distribution; constructing a dynamic graph structure including the unmanned aerial vehicle attitude data, the load position coordinates and quality and the environmental wind field nodes; calculating a current total gravity center deviation, a physical residual error and a compensation weight matrix of each execution mechanism; generating a compensation instruction by using a space-time fusion prediction network, inputting historical wind field data and a current node state, and predicting a load offset in a future time window through a space-time fusion neural network; calculating a target displacement of a balancing weight and a flexible tentacle joint angle sequence; the balancing weight is controlled to move to the target displacement along the linear guide rail, and the flexible tentacle joint is driven to reach the target angle; incremental compensation is carried out based on the adjusted total gravity center position; vibration energy at a main resonant frequency is suppressed.

The invention relates to a cylindrical shell structure vibration measuring point optimizing and monitoring method, device, equipment and medium, and relates to the technical field of cylindrical shell structure monitoring. The method comprises the steps that a simulation model of a cylindrical shell structure is established, and a plurality of response points are arranged on the surface of a shell; then constructing a modal shape matrix; calculating a contribution matrix based on the modal shape matrix, and calculating an acceleration response matrix; the vibration amplitude of each response point under the fault correlation frequency is extracted, and a fault acceleration response matrix is obtained through normalization processing; constructing a comprehensive vibration energy index based on the acceleration response matrix and the fault acceleration response matrix; carrying out weighted fusion on the contribution matrix and the comprehensive vibration energy index, and constructing a multi-target game model; solving based on a modal observability index and a vibration characterization capability index to obtain an optimal weight; and determining an optimal sensor arrangement scheme of the cylindrical shell structure based on the optimal weight. According to the invention, multiple monitoring targets can be met cooperatively.

The invention belongs to the field of computer vision, relates to a rockfall monitoring method and system based on visual identification, and aims to solve the technical problems that an existing scheme is difficult to achieve good balance among reliability, accuracy and economy and is poor in application effect. The method comprises the following steps: acquiring video stream data and vibration waveform data of a target area; monitoring according to the vibration waveform data, and when the vibration energy exceeds a preset first threshold value, generating a primary vibration event trigger and extracting video data slices from the video stream data; inputting the video data slices into a target detection network to identify candidate moving targets in the video frames and extract kinematic features; performing spectral analysis on the vibration waveform data to determine a comprehensive confidence coefficient; and counting the number of candidate targets of which the comprehensive confidence exceeds a threshold value in a specific time window, and determining a current rockfall risk level. Based on the method, video detection and vibration detection are combined, and the actual application effect is better.

The invention belongs to the technical field of prefabricated part pouring, and particularly relates to a vibration platform for prefabricated part pouring. Comprising a conveying roller way, a material box, a vibration platform and a plurality of adjusting devices, the vibration platform is connected with a rack of the conveying roller way through an air spring, a rectangular through hole is formed in the top end of the vibration platform, the adjusting devices are arranged in the rectangular through hole and comprise hydraulic cylinders and U-shaped adjusting plates, and the hydraulic cylinders drive the U-shaped adjusting plates to adjust the height of the material box. Through cooperative control of the adjusting device driven by the hydraulic cylinder and the displacement sensor, automatic adjustment of the levelness of the material box is achieved. According to the structure, no matter what working condition is, the bottom face of the material box can be completely attached to the vibration transmission face of the vibration platform, and uniform and efficient vibration energy transmission is achieved. According to the vibration platform, the technical problems that an existing vibration platform inclines due to the nonlinear characteristic of a supporting device, and contact of the workbins is uneven are solved, it is guaranteed that pouring materials are even and dense, and the finished product quality of prefabricated parts is effectively improved.

The invention relates to the technical field of power equipment, and particularly discloses a dynamic risk assessment system and method for power equipment, and the method comprises the steps: respectively extracting a vibration energy distribution characteristic value and a current harmonic distortion characteristic value through collecting a vibration frequency signal and a differential current signal of a power distribution system of the power equipment in real time; the method is used for evaluating the mechanical loosening risk and the current abnormal risk, constructing a multi-dimensional fault feature vector through the two types of feature values, inputting the multi-dimensional fault feature vector into a dynamic probability graph model based on a Bayesian network for fusion analysis, outputting the equipment fault probability, generating an early warning level and a control strategy according to a preset threshold value, and achieving closed-loop diagnosis and active protection. The method can effectively identify the early fault hidden danger of the power equipment, improves the diagnosis accuracy and the system safety, and is suitable for power fire monitoring and intelligent operation and maintenance scenes under complex working conditions.

The invention relates to the technical field of bridge monitoring, and discloses a bridge structure health monitoring sensing device, comprising: a distributed optical fiber sensing module, in which a sensing optical fiber is configured to be continuously laid along the surface or the interior of a to-be-monitored area of a bridge structural member to form a measurement section covering the monitoring area; the point type sensing module is mounted at the key section position of the structure; the multi-parameter fusion processing unit is in signal connection with the distributed optical fiber sensing module and the point type sensing module; packaging the assembly; the self-energy-supply management module is used for collecting vibration energy and photovoltaic energy in a bridge environment; and a wireless communication module. Through cooperative work of the distributed optical fiber sensing module and the point type sensing module, continuous spatial resolution monitoring of a bridge structure is achieved through distributed optical fibers, a complex structure of a large-span bridge is covered, damage such as fatigue cracks at a local rigidity sudden change position is accurately captured, and the insufficient coverage and omission risk of traditional point type monitoring are avoided.

The invention discloses a combined type seafloor data center breakwater system which comprises a honeycomb protection layer, an energy dissipation middle cavity layer, a supporting wall layer and a flow guide adjusting mechanism, and the honeycomb protection layer, the energy dissipation middle cavity layer, the supporting wall layer and the combined type seafloor data center are sequentially arranged in the water flow and wave direction. The flow guide adjusting mechanism is installed on the supporting wall layer, the honeycomb protection layer and the energy dissipation middle cavity layer, the supporting wall layer and the honeycomb protection layer communicate with each other, the flow guide adjusting mechanism is used for adjusting the overflowing area of water flow flowing to the combined type seabed data center, and therefore the flow speed of the water flow is adjusted, and the honeycomb protection layer and the energy dissipation middle cavity layer are used for weakening vibration energy in waves. And the flow velocity influence of water flow is reduced. Wave dissipation and heat dissipation of the combined type seabed data center are well achieved, and the wave dissipation efficiency can be adjusted according to the sea condition.

The invention relates to the technical field of power transmission line self-energy-taking, and discloses a power transmission line self-energy-taking device and a state detection system, and the device comprises a housing structure, a motion structure, an electromagnetic power generation structure, and a friction power generation structure. Wherein the moving structure is composed of a permanent magnet, a spring and a fixing groove, the vertical shell and the fixing groove are connected through the spring, and a spring mass vibration system is constructed; the electromagnetic power generation structure generates power through relative movement of a permanent magnet and a coil. The friction power generation structure generates power through sliding separation of sliding electrodes on the side faces of the fixing grooves and electrodes in the side shells. The invention further discloses a state detection system, vibration energy is collected through the device and stored in an energy storage battery through an energy management circuit to supply power to a sensor detection circuit, and data are sent to an upper computer through a wireless transmission module. The power transmission line state real-time detection without external energy supply can be realized, and the problem of power supply of monitoring equipment in remote areas is solved.

An ultrasonic spindle, comprising a spindle body (100), a spindle core (200), an ultrasonic wave generation assembly (300), a mounting assembly (400) and a wireless sensing module (500), wherein the spindle body (100) is provided with a gas intake hole (120), the ultrasonic wave generation assembly (300) comprises a transducer (310), a first cooling channel (301) is defined between the mounting assembly (400) and the outer wall of the transducer (310), and the gas intake hole (120) is used for introducing a cooling gas. The cooling gas can enter the first cooling channel to cool the transducer. The ultrasonic spindle has a simple overall structure, and can prevent vibration energy transmission instability caused by an excessive temperature rise of the transducer, which affects the efficiency of electric energy transmission, thereby ensuring the working reliability of the spindle, and improving the working efficiency of the ultrasonic spindle.

The invention discloses vehicle-mounted detection equipment and a vehicle. The vehicle-mounted equipment comprises a bearing part, a damping object mounting part, a damping object, an equipment bottom damping part and an equipment back damping part. The bottom of the bearing part is connected with an equipment bottom damping part, and the top of the bearing part is connected with the equipment back damping part so that transverse and longitudinal damping can be achieved. The damping object installation part is installed on the bearing part as an independent part or is integrally formed with the bearing part. An object bottom damping piece is arranged between the bottom of the damping object and the damping object installation piece so as to achieve longitudinal damping. The equipment back damping part, the equipment bottom damping part and the object bottom damping part form a multi-stage damping structure, so that a damping object and a vehicle chassis form a flexible connection system, vibration energy is gradually attenuated in the multi-stage damping structure, resonance and impact caused by single-layer rigid supporting are avoided, and the influence of vibration impact on the damping object is effectively isolated.

The invention provides an aluminum substrate drilling tool wear prediction method based on reinforcement learning, and the method comprises the steps: collecting working condition parameters, such as main shaft rotation speed, feeding speed, cutting depth, material type and historical vibration energy, through the deployment of an industrial sensor network, and achieving data standardization through feature extraction and normalization processing; a dynamic cognitive map with process meaning is constructed by adopting semantic analysis and a map generation strategy, key semantic nodes are identified by utilizing a map attention network, reinforcement learning is driven through a structured reward function, and self-adaptive optimization of a wear prediction strategy is realized; according to the method, abnormal detection and working condition abrupt change increment updating are supported, map consistency optimization is achieved by fusing expert experience, the tool wear prediction precision and the environment adaptability can be improved, and the intelligent sensing and dynamic response capacity to the complex manufacturing process can be enhanced.

The invention provides a self-adaptive control method and system for a reciprocating cutting tool. The method comprises the steps that a working current signal of a driving motor, a reciprocating motion frequency signal of a saw blade and a three-axis vibration signal of the saw blade are collected in real time; calculating an average value component and a fluctuation peak value component of the working current signal, and calculating a vibration energy component of the three-axis vibration signal in the cutting direction; fusing the average value component, the fluctuation peak component and the vibration energy component in the cutting direction to generate a comprehensive load index of the current cutting period; jointly inputting the comprehensive load index, the frequency deviation and the change rate of the comprehensive load index into an adaptive strategy mapping model; a load control instruction is output, and the load control instruction comprises a feeding speed adjusting quantity, a motor power adjusting quantity and a torque curve adjusting parameter; and the feeding speed of the reciprocating cutting tool, the output power of the driving motor and the waveform characteristics of the instantaneous torque output curve of the driving motor in the single round-trip period are cooperatively adjusted according to the instruction.

The invention relates to the technical field of industrial automation control, in particular to a boiler combustion stability intelligent control method based on a self-adaptive neural network, and the method comprises the steps: collecting multi-source heterogeneous data of a boiler system, the multi-source heterogeneous data comprises a high-frequency vibration data flow and a low-frequency process data flow, carrying out space-time alignment preprocessing on the multi-source heterogeneous data; and calculating a self-adaptive penalty factor based on the current load characteristics and the vibration energy, and performing variational mode decomposition on the high-frequency vibration data stream by using the self-adaptive penalty factor to obtain a combustion characteristic component. According to the method, the gain of the neural network controller is dynamically adjusted through the comprehensive stability risk index, smooth switching of a control strategy between steady-state fine adjustment and fault strong control is achieved, and therefore the fast inhibition capacity for combustion instability is remarkably improved while the steady-state precision of a combustion system is guaranteed.

The invention provides a vertical liquid damper which comprises a closed container, buffer liquid, a horizontal partition part and a horizontal energy dissipation part, a base connected with an external structure to be subjected to vibration reduction is arranged at the bottom of the closed container, and the interior of the closed container is divided into at least two independent closed cavities by the horizontal partition part; each closed cavity is filled with the buffer liquid flowing in a collision mode, the horizontal energy dissipation pieces are arranged in the closed cavities, each horizontal energy dissipation piece comprises a middle hollow channel and a peripheral baffle, and the peripheral baffle is provided with a pore structure for the buffer liquid to pass through in the vertical movement process. The device has the advantages of effective dissipation of vertical vibration energy, simple structure and the like.

The invention provides a die cutting equipment error optimization method and system based on group collaboration, and relates to the technical field of die cutting machines, and the method comprises the steps: carrying out the spectrum analysis of a frequency characteristic curve of each piece of die cutting equipment, so as to divide an initial interference group; establishing a virtual spring damping network in the initial interference group, regarding each die cutting device in the initial interference group as a mass point, and determining a spring stiffness coefficient and a damping coefficient according to an actual distance between adjacent mass points; determining vibration mode characteristics of each die cutting device according to the spring stiffness coefficient and the damping coefficient, and converting a control signal generated according to the vibration mode characteristics into a parameter adjusting variable by using a preset control algorithm; and determining a vibration coupling relationship according to the collected vibration energy data of the initial interference group after the initial processing parameters are adjusted according to the parameter adjusting quantity, and determining an optimal production takt and a parameter compensation value according to the vibration coupling relationship. The technical problem that in the prior art, due to vibration coupling of a die cutting equipment group, the machining error cooperative control difficulty is large is solved.

The invention provides an automatic screening control method for a crusher vibrating screen, which comprises the following steps: collecting the stacking height of screen underflow below a screen mesh of the crusher vibrating screen in real time, and correspondingly forming a synchronous monitoring record by the stacking height, the airflow velocity and the airflow direction according to timestamps in combination with the airflow velocity and the airflow direction of an under-screen space; according to the synchronous monitoring record, extracting a space extrusion symptom of an under-screen space by identifying a critical characteristic that an airflow channel is narrowed when the stacking height is close to the bottom of the screen, and extracting an airflow reverse disturbance attribute by monitoring an airflow flowing direction; in the screening process, the current operation frequency and amplitude of a vibration motor are continuously obtained, and when the risk of reentrainment of dust is recognized, the attenuation amplitude when the frequency and the amplitude reach the screen surface is evaluated according to the blocking degree of the stacking height to the vibration energy transmitted to the surface of the screen.

The invention discloses a multi-stage spring multi-directional vibration reduction base for a wafer chamfering machine in the field of semiconductor processing, and the base comprises a supporting housing which is a cylindrical housing with a closed bottom, and the top of the supporting housing is closed through a bearing platform; the main vibration reduction assembly and the supporting shell are concentrically and fixedly arranged on the bottom face of the supporting shell; the auxiliary vibration reduction assembly is annularly arranged on the periphery of the main vibration reduction assembly and is also fixedly arranged on the bottom surface of the supporting shell; the upper vibration reduction assembly is fixedly arranged at the tops of the main vibration reduction assembly and the auxiliary vibration reduction assembly and is connected with the bearing table in a clamping manner; the radial vibration reduction assembly is fixedly clamped on the bottom surface of the bearing table and is arranged in the side wall of the supporting shell in a sliding manner; the wafer chamfering vibration reduction device has the beneficial effects that the main vibration reduction assembly, the auxiliary vibration reduction assembly, the upper vibration reduction assembly and the radial vibration reduction assembly are arranged, the multiple vibration reduction assemblies cooperate to dissipate vibration energy, the rigidity of all the vibration reduction assemblies can be set, the wafer chamfering vibration reduction device can be matched with various chamfering machines, and the wafer chamfering quality can be effectively improved.

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 discloses a method for analyzing the internal dynamic response of a rock-filled foundation with an ultra-large particle size in the rolling process of a road roller. The method comprises the following steps: step 1, evaluating the uniformity of a time sampling interval; step 2, filtering the collected vibration signals under the two working modes of weak vibration and strong vibration of the road roller respectively; step 3, outputting the filtered time domain signal data according to an Excel file format; 4, calculating a time interval standard deviation of the data, and evaluating the uniformity of a time sampling interval; 5, signal preprocessing is carried out; 6, arranging the data and storing the data to a specified path; and 7, analyzing the influence of the filling thickness and the number of rolling times on the vibration energy in the foundation and the change rule. The method has the advantages that spatial distribution and change rules of vibration acceleration, vibration amplitude and vibration energy in the high-fill roadbed can be truly reflected, and the method can be effectively used for prediction and analysis of dynamic response change rules in high-fill roadbed filling.

The invention provides a cutter adaptive control method based on artificial intelligence and an intelligent agent control system, and relates to the technical field of intelligent control processing. The method comprises the following steps: calculating a cutter vibration energy growth rate; calculating the edge weight of each connecting edge directly connected with the cutter; calculating a vibration influence degree and a vibration flow direction factor of each connecting edge in combination with the edge weight; according to the vibration influence degree, the vibration flow direction factor and the tool vibration energy growth rate, the tool abrasion condition is judged; and adjusting according to the wear condition of the cutter. By implementing the scheme, the limitation of traditional single-point monitoring is broken through, the working condition characteristics of the cutter can be accurately captured, and targeted maintenance is facilitated.

The invention provides a vacuum circuit breaker running-in test bench, and relates to the technical field of circuit breaker running-in. The adjusting assembly is used for adjusting force and displacement generated by vibration of the circuit breaker in the running-in process; when the circuit breaker vibrates left and right, the push rod provides a reverse buffering force according to a force generated by the left and right vibration of the circuit breaker, so that the circuit breaker is kept in a stable state; the buffer assembly is used for buffering vibration of the circuit breaker in the running-in process; when the circuit breaker vibrates up and down, the buffer is used for preliminarily buffering force generated by the up and down vibration in the running-in test of the circuit breaker; the rotating frame is used for adjusting the angle of the adjusting assembly to adapt to circuit breakers with different mounting angles; the device is graded layer by layer, so that the vibration energy of the circuit breaker is consumed layer by layer in the running-in process, the structural integrity and the performance stability of the circuit breaker are kept in a continuous vibration environment, and the scientificity of a test and the durability of equipment are remarkably improved.

The invention belongs to the technical field of precision equipment vibration reduction supporting structures, and particularly relates to a precision equipment vibration reduction supporting structure based on an elastic metamaterial, which comprises a precision equipment bottom plate, the precision equipment bottom plate is fixedly welded at the bottom of precision equipment, and the precision equipment bottom plate is fixedly mounted on the mounting ground through fastening bolts. And a damping mechanism is arranged between the precise equipment bottom plate and the fastening bolt. The interiors of the lower vibration reduction columns, the middle vibration reduction columns and the adjusting vibration reduction columns are divided into a plurality of cell structures through the regular hexagonal hole channels distributed in the lower vibration reduction columns, the middle vibration reduction columns and the adjusting vibration reduction columns in a honeycomb array mode, and the cell structures deform to absorb vibration energy and have the reflection and refraction effects on vibration; and finally, wide-frequency-domain and high-efficiency vibration suppression is achieved, stable operation of precision equipment is ensured, the vibration reduction effect is extremely good, and the problems that a traditional rubber vibration reduction pad is narrow in vibration reduction frequency band, and a spring vibration reducer is prone to resonance are solved.