139results about How to "Guaranteed response speed" patented technology

The invention discloses an external bias pixel structure of a light receiving stage circuit in a dynamic vision sensor pixel. The external bias pixel structure comprises a photodiode, a logarithmic tube, an amplifier tube, a switch tube and a bias tube, the bias tube, the switch tube and the amplifier tube are sequentially connected in series, a source electrode of the bias tube is connected with a power supply, a drain electrode of the bias tube is connected with a drain electrode of the switch tube, a source electrode of the switch tube is connected with a drain electrode of the amplifier tube, and a source electrode of the amplifier tube is grounded; the grid electrode of the bias tube is in signal connection with Vbias, the grid electrode of the switch tube is in signal connection with Vcpr, the source electrode of the switch tube and the drain electrode of the amplifier tube are connected with the grid electrode of the logarithmic tube, the drain electrode of the logarithmic tube is connected with a power supply, the source electrode of the logarithmic tube is connected with the negative electrode of the photodiode, and the positive electrode of the photodiode is grounded. And a grid electrode of the amplifier tube is also connected between the source electrode of the logarithmic tube and the negative electrode of the photodiode.

The invention provides an intelligent exhibition hall control method and system based on Internet of all things. The method belongs to the technical field of the Internet of Things, and comprises the following steps: constructing an intelligent exhibition hall network architecture based on the Internet of Things, and wirelessly connecting to a central control platform to form a network environment of Internet of all things; acquiring user identity information through an identity recognition device, and constructing a user identity database; and analyzing user preferences through an intelligent algorithm according to the user identity information in combination with user historical behavior data. According to the method, the identity information and the historical behavior data of the user are analyzed through an intelligent algorithm, personalized exhibition recommendation and exhibition routes can be provided for the user, the user can find interested exhibits more quickly, and therefore the visiting experience is improved.

The invention relates to the technical field of automobile exhaust pollution, in particular to a sensor-based automobile exhaust networking analysis system, which comprises a data acquisition module, a data processing and fusion module, an analysis and prediction module, an intelligent decision module, a data storage module and a user interaction module, the data processing and fusion module is used for processing the received pollutant component data, the data storage module is used for storing the pollutant component data, the analysis and prediction module is used for analyzing the pollutant component data in real time and predicting the tail gas emission trend, and the intelligent decision module is used for generating optimized vehicle operation parameters and providing maintenance suggestions. And the user interaction module provides a visual interaction interface and displays the tail gas emission data, the analysis result and the decision suggestion of the vehicle in real time. According to the automobile exhaust monitoring system, the technical problems existing in an existing automobile exhaust monitoring system are effectively solved, and the accuracy and reliability of data are remarkably improved.

The invention relates to the technical field of lithium battery protection boards, in particular to an intelligent charging and discharging management system based on a lithium battery protection board, and solves the problems that in the prior art, although important guarantee is provided for safe use of a lithium battery, some defects still exist, the protection board fails, and the lithium battery protection board is prone to damage in the long-term use process. And potential safety hazards such as over-charging, over-discharging, short circuit and the like of the battery cannot be effectively prevented. An intelligent charging and discharging management system based on a lithium battery protection board comprises system initialization, real-time battery state monitoring, charging management, discharging management, battery cell balance management, fault diagnosis and early warning, data recording and analysis, and system dormancy and awakening. According to the intelligent charging and discharging management system based on the lithium battery protection board, the service efficiency of the battery is improved, the service life of the battery is prolonged, through accurate electric quantity monitoring and intelligent charging and discharging management, the system can avoid the phenomena of over-charging, over-discharging and over-current of the battery, and therefore the service life of the battery is effectively prolonged.

The invention discloses an industrial Internet of Things edge computing unloading method and system based on a distributed deep neural network, and the method comprises the following steps: firstly, introducing a feature matrix of an attention mechanism optimization task, transmitting the optimized task features to a multi-layer deep neural network DNN, and generating an unloading decision set in parallel; allocating resources for each task; after the to-be-unloaded task is preliminarily selected, computing resources of the high-priority task are preferentially guaranteed in the resource allocation stage according to the priority and deadline of the task. For tasks with relatively large calculation amount or relatively high priorities, decision storage is performed by using a cache strategy to optimize unloading and resource allocation processes of subsequent similar tasks, so that efficient and low-delay task unloading in a large-scale and multi-task environment is realized. Meanwhile, a distributed cache updating mechanism is utilized in each unloading time slot, the unloading decision precision is continuously optimized, and the unloading efficiency and the overall stability of the system are improved.

The invention discloses an intelligent operation and maintenance management method and system based on an artificial intelligence data center, and relates to the technical field of data processing, and the operation and maintenance management system comprises a data collection module, a data classification storage module, a data prediction module, a data processing module and a data evaluation module. The data acquisition module is used for acquiring different hardware equipment data and software data in the operation and maintenance management system in real time. The data classification storage module is used for classifying and storing the data in the operation and maintenance management system, and then the importance of different data is determined by utilizing grades; and then the data prediction module analyzes the classified data, so that the operation and maintenance management system can predict different classification data conveniently, after fault data occurs in the operation and maintenance management system, judgment is performed between the fault data and the classification, and the position of the fault data in the operation and maintenance management system is effectively and quickly positioned.

The invention relates to a super-capacitor-based flicker suppression method for a network construction type STATCOM (Static Synchronous Compensator). The method comprises the steps of network construction outer ring control, fundamental current control and harmonic current control, a virtual synchronous machine VSG control algorithm is adopted for network construction outer ring control, the frequency modulation characteristic and the inertia damping characteristic are decoupled, and the suppression of the active power high-frequency fluctuation quantity through a super capacitor serves as an effective means for flicker suppression; load harmonic current control open-loop control and closed-loop control are combined to achieve an optimal control effect, a first-order differential link and a second-order low-pass filter are cascaded to serve as a correction link, open-loop control gain is improved, resonance between a passive filter and a power grid is suppressed, a second-order low-pass filter link is added to reactive power of a PCC (point of common coupling), and the optimal control effect is achieved. The problem of harmonic amplification caused by the fact that the fundamental reactive power compensation speed is too high and conflicts with a harmonic rapid compensation link is avoided; the flicker suppression effect and the harmonic compensation rate are improved, and pollution of an arc load to a power grid is reduced.

The utility model provides an electric gear shifting executing mechanism, which relates to the field of gear shifting executing mechanisms, and adopts the technical scheme that the electric gear shifting executing mechanism comprises a driving motor, the driving motor can drive a shifting fork to linearly move, a shifting fork shaft is arranged at the upper end of the shifting fork, and the shifting fork can drive the shifting fork shaft to move. A plurality of locking holes are formed in the outer circumference of the shifting fork shaft, the locking holes are arranged in the axial direction of the shifting fork shaft, the locking holes correspond to corresponding gears, the positioning assembly comprises a shell, the end of the shifting fork shaft is arranged in the shell in an axial moving mode, a spring pin is arranged in the shell, and the spring pin is arranged in the shell. And the spring pin can extend into the locking hole. The utility model has the advantages of simple structure and higher reliability.

The invention provides an intelligent display control system and method based on SCADA, and relates to the field of software engineering.The intelligent display control method specifically comprises the steps that login information of a current operator is obtained; when the login information belongs to permission operator login, setting initial split-screen display content by adopting a collaborative filtering algorithm based on permission operator historical information; and dynamically adjusting the split-screen display content based on the click operation of the operator. Through the steps, the display content and the screen layout of the multiple screens are adaptively optimized by analyzing and processing the operation habits of operators. The historical operation data is analyzed by adopting a data mining technology, so that the system can identify the display layout with high operation efficiency and dynamically adjust the screen display content according to the real-time monitoring requirement.

The invention provides a redundancy control method and system of a vehicle-mounted ring network heterogeneous system and a storage medium, and belongs to the technical field of vehicle machine systems, the method comprises the following steps: in each ring network, any two adjacent vehicle machine systems regularly carry out detection message interaction, and communication link state judgment of the two corresponding vehicle machine systems is carried out based on a message interaction result; when the state of the communication link is abnormal, triggering a communication redundancy control protocol; in response to the communication redundancy control protocol, judging the position information of the two vehicle machine systems with abnormal communication links in the whole vehicle communication topology, and generating a redundancy control rule for recovering the communication of the two current vehicle machine systems based on the position information; and executing the redundancy control rule, and realizing communication recovery of the two current vehicle-mounted information entertainment systems by adjusting the communication port blocking state of each related vehicle-mounted information entertainment system on the redundancy links of the two current vehicle-mounted information entertainment systems. According to the scheme, the protocol compatibility is realized while the reliability of the vehicle-mounted ring network heterogeneous system is ensured.

The I-type linear motor comprises a stator and a rotor, the rotor comprises a coil holder and an I-type coil assembly, the I-type coil assembly comprises a left coil, a right coil and a cooling system arranged between the left coil and the right coil, the cooling system comprises a plurality of heat dissipation pipes, a water inlet pipeline and a water outlet pipeline are arranged in the coil holder, and the water inlet pipeline is communicated with the water outlet pipeline. And two ends of the radiating pipe are respectively communicated with a water inlet pipeline and a water outlet pipeline. According to the invention, heat dissipation is uniform and fast, the stability of motor operation can be effectively improved, and the stability of positioning precision and response speed during equipment operation is further ensured.

The invention relates to the field of sensor data processing, and discloses a marine temperature sensor dynamic compensation method, which comprises the following steps of: manufacturing brine layers with different temperature gradients, acquiring step response curves of a sensor under different movement speeds and temperature gradients, calculating corresponding time constants, and establishing a data set; constructing a relation model among the time constant, the movement speed and the temperature gradient, and performing parameter optimization on the relation model by using a particle swarm optimization algorithm and a data set to obtain an optimal relation model; the temperature gradient of the actual environment is calculated according to the temperature value and the movement speed measured by the ocean temperature sensor in real time; and calculating a time constant of the ocean temperature sensor by using the optimal relation model, and adjusting parameters of a filter to realize dynamic compensation. The time constant of the sensor can be adjusted in real time by using the relation model among the time constant, the movement speed and the temperature gradient, and the response speed and the measurement precision of the sensor under different environmental conditions are ensured.

The hydraulic valve linear driving pilot module comprises a stepping motor, a two-stage reduction gear and a main control circuit board, the hydraulic valve linear driving pilot module capable of directly driving a valve element to move is formed, high-precision closed-loop control over the valve element can be achieved due to the fact that the hydraulic valve linear driving pilot module does not have the hysteresis characteristic, and due to the fact that a pilot oil way is not needed, the hydraulic valve linear driving pilot module can be used for directly driving the valve element to move. And the anti-pollution capability is greatly enhanced. According to the hydraulic valve linear driving pilot module and the control method, the hydraulic valve linear driving pilot module can replace a traditional hydraulic control pilot module, and digital and intelligent development of engineering machinery and agricultural machinery is facilitated.

The utility model relates to the technical field of reactors, in particular to a constant temperature control device based on an amination reactor. Comprising an amination reactor and a jacket wrapping the outer wall of the amination reactor, heat exchange pipes are spirally distributed in the jacket, the top of the jacket is connected with a heater through an oil outlet pipeline, the bottom of the jacket is connected with an outlet of the heater through a circulating pipeline, and a circulating oil pump is arranged on the oil outlet pipeline. The inlet end of the heat exchange pipe is connected with a cooler through a water inlet pipeline; according to the amination reactor, hot oil heated to a certain temperature is circularly conveyed into the jacket by starting the circulating oil pump, so that the temperature in the amination reactor is ensured to be constant; the heat exchange pipe, the cooler, the water inlet pipeline, the water outlet pipeline and other structures are matched for use, so that the heat of released heat can be quickly taken away, the reaction speed is ensured, the product quality is stabilized, and the cooling speed can be increased after the reaction is completed through the matching use with the oil storage tank, the oil discharge pipeline and the like.

The invention discloses a data management method and device based on a zero-reserved-space solid state disk and a readable medium, and the method comprises the steps: obtaining to-be-written data of a current period, the data size of garbage collection and the free space capacity of a remaining TLC type, programming the to-be-written data to the flash memory block of the SLC type corresponding to the heat type in a pseudo programming manner according to the predicted heat of the to-be-written data, and updating the heat management linked list to obtain an updated heat management linked list; if a threshold value judgment condition is met, selecting an optimal SLC flash memory block from the updated heat management linked list as a reprogramming target, programming the optimal SLC flash memory block into a TLC type flash memory unit in a reprogramming manner, and reprogramming the reprogramming target to obtain an additional space as a reserved space; and if the threshold judgment condition is not met, taking the flash memory unit of the TLC type as a reserved space. According to the invention, a large reserved space can be reserved while a storage space is ensured, and stable and high-speed read-write performance is provided.

The invention discloses a container scaling strategy generation method and device, equipment and a medium, and belongs to the technical field of cloud platforms, and the method comprises the steps: obtaining monitoring index data; performing data cleaning and conversion merging on the monitoring index data; performing trend analysis on the cleaned, converted and merged monitoring index data through time sequence analysis and periodic mode detection; creating a prediction model according to the monitoring index data trend analysis result; training and evaluating the prediction model according to the monitoring index data type; sending the latest collected monitoring index data to the prediction model, and generating load prediction; setting a resource limit threshold value and a scaling strategy triggering condition according to the load prediction result; and generating a container scaling strategy according to the resource limit threshold and the scaling strategy triggering condition. The flexibility and stability of the cloud platform can be remarkably improved, and the operation and maintenance cost is reduced, so that the market competitiveness of container cloud products is greatly improved.

The invention relates to the technical field of temperature control, and discloses a BMS temperature control method and system, and the method comprises the steps: carrying out the multi-dimensional coupling of battery data, and obtaining a micro-region thermal state; predicting heat accumulation and generating a heat dissipation instruction based on load abrupt change superposition feedforward compensation; calculating heat distribution deviation evaluation stability according to the feedback signal; defining a lead compensation range by using a heat evolution model to generate parameter configuration; system response characteristics are obtained through calibration of the frequency spectrum and the state transition matrix; and fusing the temperature gradient distribution to generate a final advanced adjustment instruction. According to the method, accurate prediction and full-link advanced active intervention of micro-region thermal unbalance can be achieved, the problem of heat accumulation caused by load dramatic change is effectively solved through multi-dimensional feature coupling and a dynamic closed-loop calibration mechanism, and the system response speed and the temperature field balance are remarkably improved.

A latch-type quick-release expansion device includes a guide rod, a cam handle, a stopper and an expansion assembly. The guide rod is in the shape of a long axis. The cam handle is rotatably connected to one end of the guide rod. The stopper is sleeved on the guide rod and is adjacent to the cam handle. The expansion assembly is sleeved on the guide rod, one end of which abuts against the stopper and the other end is limited by the guide rod. The expansion assembly can be squeezed to expand outward and contract inward to hold the guide rod. The latch-type quick-release expansion device of the present invention transmits force to the expansion assembly through the stopper by rotating the cam handle, so that the outer cone sleeve elastically deforms and expands to form an interference fit with the mounting hole, and the inner cone sleeve elastically deforms and shrinks to hold the guide rod, thereby forming a rigid connection between the device and the connector to ensure strength. The latch-type quick-release expansion device of the present invention can complete locking and unlocking operations on one side. No tools are required for disassembly and the operating force is within the human power range. The operation is very simple and the response speed can be guaranteed.

The present application relates to the technical field of unmanned aerial vehicle software architecture, and particularly relates to an open unmanned vehicle navigation control software architecture implementation method, which comprises a functional node group, a node manager, a message transmission manager, a parameter server and a control algorithm library. The functional node group is a cluster of several independent functional nodes, the architecture unifies the external interface function form of each node and is uniformly managed by the node manager; the message manager is a low-overhead high-real-time message transmission mode used for message interaction between nodes; the software architecture is built-in with a parameter server capable of realizing parameter registration, storage and reading functions; meanwhile, some commonly used control algorithm libraries are configured for use by each node. The unmanned vehicle navigation control software architecture has the characteristics of low hardware overhead, high real-time performance, good scalability, supports multi-person collaborative development and can effectively reduce the software development threshold and cycle.

The invention provides a user interface anomaly detection and recovery method and system, equipment and a storage medium, and the anomaly detection method comprises the steps: building a virtual screen matched with an actual screen in the equipment, and building a plurality of first to-be-displayed interfaces associated with a current display interface in the actual screen in the virtual screen in advance; the plurality of first to-be-displayed interfaces are arranged by taking the same set position as a reference, responding to a user interface switching instruction, and determining whether the switched current display interface in the actual screen is abnormal or not based on the current display interface, the plurality of first to-be-displayed interfaces and the virtual screen. The method has the advantages of being accurate in anomaly detection, high in compatibility, good in expandability and the like while the efficient performance is guaranteed, real-time monitoring and recovery of the user interface can be achieved by introducing the virtual screen concept and simple coordinate judgment, and the quality of the user interface and the user experience are improved.

The invention discloses a knowledge index and text generation control method and system for retrieval enhancement generation. The method relates to the technical field of retrieval enhancement generation and comprises the following steps of knowledge index accuracy evaluation, index accuracy intelligent regulation and control, text generation timeliness evaluation and generation timeliness intelligent regulation and control. According to the method, the knowledge index accuracy is evaluated based on the index accurate parameters, and if the knowledge index does not reach the standard, the semantic relevance and the result effectiveness are regulated and optimized in a self-adaptive mode through the window width and the effective proportion. And then, evaluating the text generation timeliness based on generation timeliness parameters, if the text generation timeliness does not reach the standard, dynamically managing dialogue memory and load by updating a rate threshold value and performing adaptive regulation and control of a response period, preferentially guaranteeing the response speed and continuity, and finally performing a text generation verification link. The control timeliness of the knowledge index generated by retrieval enhancement and the text generation is improved, and the problem that the control timeliness of the knowledge index generated by retrieval enhancement and the text generation is low in the prior art is solved.

The application provides a chip burning method, a computer device and a computer readable storage medium. The chip burning method comprises the following steps: generating a plurality of different temporary keys; combining the plurality of temporary keys into a key sequence and storing the key sequence in a temporary key file; receiving an encrypted burning file from a second terminal; matching the temporary keys in the key sequence of the encrypted burning file with the temporary keys stored in a local key database one by one; when the temporary keys are successfully matched with the temporary keys in the local key database, downloading a decrypted program file to a burner, the program file is used for burning to a target chip, and then deleting the matched temporary key from the local key database. By generating a plurality of different temporary keys and storing the temporary keys in the local database, the number of burners that can be used at the same time is controlled by matching the temporary keys one by one and deleting the used keys immediately after successful matching, and the total burning quantity can be accurately controlled.

The embodiment of the invention provides a gas turbine high-load and low-load switching control system and method and a storage medium, and solves the problem that the high-load and low-load switching response speed is low due to the fact that an existing method cannot accurately predict the load of a thermal generator set in combination with the historical load of the thermal generator set. The method comprises the steps of obtaining working parameters of the gas turbine, executing a load prediction model, outputting a load prediction curve of the gas turbine, adjusting the load prediction curve by optimizing the working parameters of the gas turbine, obtaining an adjusted prediction curve, and generating a high load and low load switching strategy. According to the method, the load prediction model is constructed by combining the multi-implicit strata feedforward neural network and the LSTM model, the load prediction model can effectively utilize the gas turbine working parameter placement time sequence characteristic to carry out accurate load prediction, the load prediction model is high in convergence speed and good in robustness, the high load and low load switching response speed is increased, and the load prediction efficiency is improved. And the efficiency of the thermal generator set is ensured.

The invention relates to a control method and device of a permanent magnet synchronous motor, electronic equipment and a storage medium, and the method comprises the steps: determining a counter electromotive force expression of the permanent magnet synchronous motor, and carrying out the decoupling of the counter electromotive force expression, and obtaining a mathematical model of the permanent magnet synchronous motor; determining a target reference voltage by using a preset deadbeat model according to the mathematical model, determining a voltage vector set of each sub-plane of the permanent magnet synchronous motor according to the mathematical model, and dividing a target sector according to the voltage vector set of each sub-plane; and according to the target reference voltage, determining a plurality of target voltage vectors of each target sector and the action time of each target voltage vector in one switching period, so as to control the permanent magnet synchronous motor according to the plurality of target voltage vectors of each target sector and the action time corresponding to each target voltage vector. Therefore, the problems of tedious control and complex parameter setting of the permanent magnet synchronous motor are solved, and the control effect is improved while the response speed of the system is ensured.

The utility model discloses an AC-AC chopping electronic transformer, which comprises a bus power supply unit, a chopping unit, a protection output unit, a current sampling unit, a voltage sampling unit, a control unit and a frequency zero crossing point sampling unit, the bus power supply unit is connected with the chopping unit; the chopping unit is connected with the protection output unit; the current sampling unit and the voltage sampling unit are respectively connected with the protection output unit; the current sampling unit and the voltage sampling unit are respectively connected with the control unit; the bus power supply unit is connected with the frequency zero crossing point sampling unit; the frequency zero crossing point sampling unit is connected with the control unit. By means of the transformer, the control precision can be improved, dynamic real-time monitoring is achieved, and the overload protection capacity is enhanced.

The invention discloses an outbound call real-time interruption processing method and device, computer equipment and a storage medium. The method comprises the following steps: when a preset verbal skill is played, monitoring and converting an audio stream into a text stream in real time through VAD and ASR services; inputting the processed data into a streaming interruption model for node configuration analysis; judging whether interruption is supported or not; if yes, when the confidence coefficient of the streaming interruption model exceeds a threshold value, stopping playing the preset verbal skill and switching to a waiting / recognition mode until the VAD confirms that the speaking of the user is finished; if not, monitoring the audio stream without interrupting the playing until the VAD confirms that the speaking of the user is ended; obtaining the whole dialogue content of the round; inputting the data into a whole-section hanging-up model and a high-risk model for posterior judgment; and performing corresponding processing, and temporarily storing the whole dialogue content of the round. By means of the method, high-precision intention recognition can be guaranteed, meanwhile, low-delay response speed can be provided, and unnecessary false triggering conditions are effectively reduced.

The invention relates to the technical field of electric energy distribution, and discloses an electric energy distribution method, device and equipment based on energy storage equipment, which are used for improving the electric energy distribution accuracy of the energy storage equipment and improving the stability of household electricity utilization. The method comprises the following steps: performing energy management initialization on hybrid energy storage equipment to obtain an initial electric energy distribution strategy combination; performing electric signal data feature analysis on the hybrid energy storage equipment to obtain a first electric signal feature set and a second electric signal feature set; historical energy consumption data and environment variables are obtained, energy demand prediction is carried out, and target energy demand prediction data are obtained; and inputting the first electric signal feature set, the second electric signal feature set and the target energy demand prediction data into a Markov decision model to carry out charging and discharging priority distribution and electric energy distribution strategy adjustment, and generating a target electric energy distribution strategy combination.

The invention relates to the technical field of intelligent access control, and relates to an intelligent community access control security management method and system, the method comprises area supervision and resident security: area supervision comprises: collecting community environment data and event rating; inputting the community environment data and the event rating into a pre-constructed security level prediction model, and outputting a security level; the resident security protection comprises the following steps: collecting historical access data and daily behavior characteristics of residents; training a matching quantity prediction model by using the historical access data and the daily behavior characteristics; collecting a current access position and a current time point; inputting the current access position and the current time point into a matching quantity prediction model, and outputting a feature matching quantity and N; activating a face card reader according to the numerical value N; and adjusting the feature matching quantity of the face card reader according to the feature matching quantity output by the matching quantity prediction model. According to the invention, the identity of a resident can be quickly verified when the resident approaches the entrance guard, so that the smoothness and convenience of passing are greatly improved.

The invention discloses a resource dynamic loading method and device, computer equipment and a storage medium, relates to the technical field of computers, and can solve the technical problem of waste of a broadband and a memory caused by excessive preloading of unnecessary resources at present. Comprising the steps that a resource interest score prediction model is obtained, and the resource interest score prediction model is obtained based on historical browsing behavior data and historical resource interest score training corresponding to a next historical browsing behavior; predicting current browsing behavior data by using the resource interest score prediction model to obtain resource interest scores of resources corresponding to different next browsing behaviors; and carrying out preloading and lazy loading on different resources according to the resource interest scores.

The invention relates to the technical field of conveying belt auxiliary equipment, and discloses a correction device for controlling belt conveying of a coal conveying system, the correction device comprises an air cylinder, a mounting plate and a top plate, the air cylinder is mounted at the top end of the mounting plate, the top plate is mounted at the top end of the mounting plate, and the mounting plate is mounted on the outer side of a rack through bolts; when the conveying belt deviates, an air cylinder in the equipment is activated and executes an action, and the action not only can realize automatic correction of the conveying belt and ensure that the conveying belt returns to a normal operation state, but also can effectively clean a signal transmitter to prevent the problem that the sensitivity of a sensor is reduced due to coal ash accumulation; vibration force is generated by movement of the air cylinder, and dust attached to the cleaning cotton can be effectively vibrated off through the vibration force. The process ensures that the cleaning cotton can continuously and efficiently clean the signal transmitter, the cleanliness of the surface of the signal transmitter is maintained, and therefore the reliability and the response speed of an equipment monitoring system are guaranteed.