219results about How to "Implementation status" patented technology

The invention relates to the technical field of multi-axis linkage numerical control machining, and discloses a multi-axis linkage numerical control machining state monitoring method and system.The method comprises the steps that vibration, acoustic emission and cutting force signals in the multi-axis linkage numerical control machining process are collected and preprocessed, and first multi-source sensor data are obtained; performing feature extraction and compressed sensing to obtain a low-dimensional feature subset; performing fusion judgment to obtain an abnormal state detection result; training a deep learning model comprising a backbone network and a plurality of branch networks to obtain a state evaluation model; and inputting second multi-source sensor data collected in real time into the state evaluation model for state evaluation to obtain a processing state classification result and a parameter estimation value. According to the method, cooperative state evaluation and prediction simulation of multiple machine tools are realized.

The invention discloses a transmission line three-dimensional reconstruction method and system based on a monocular channel monitoring camera, and the method comprises the steps: obtaining compensation image data through adaptive illumination compensation processing, obtaining direction feature data based on frequency domain feature analysis, constructing a texture enhancement model through a graph theory, generating enhanced image data, and carrying out the reconstruction of a transmission line. Outputting feature aggregation data through time sequence feature aggregation; generating three-dimensional contour data in combination with multi-wire topology analysis and geometric constraint optimization; depth probability modeling and multi-scale consistency processing are adopted to obtain optimized depth data; and outputting system state data, three-dimensional point cloud data and deformation parameter data through physical model construction and space-time constraint fusion. According to the method, high-precision three-dimensional reconstruction of the power transmission conductor is realized, and the method has relatively high environmental adaptability and calculation efficiency.

The invention discloses a complex scene multi-source heterogeneous data acquisition and monitoring diagnosis method and device, and the method comprises the steps: collecting multi-source heterogeneous data of an object to be monitored and diagnosed, and carrying out the data cleaning, data preprocessing, feature extraction and fusion of the multi-source heterogeneous data, so as to obtain a feature data set; and constructing and training a causal decoupling representation learning model based on input and output driving by using the feature data set and the data after data cleaning, so as to extract decoupling representation of a to-be-monitored diagnosis object, deduce a causal relationship between variables, and obtain a to-be-monitored diagnosis object. Wherein the causal decoupling characterization learning model comprises an external source control conversion network and a double-view evolution modeling and causal inference network, and the trained causal decoupling characterization learning model is used as a heterogeneous signal monitoring and diagnosis model and is used for monitoring the state of an object to be monitored and diagnosed and diagnosing the root cause of a fault of the object to be monitored and diagnosed. According to the invention, data acquisition, state monitoring and fault reason diagnosis can be integrally realized, the cost is saved, and the application prospect is wide.

The invention relates to the technical field of industrial equipment fault diagnosis, and provides an industrial equipment real-time fault diagnosis method and system based on a generative model, and the method comprises the following steps: collecting the original operation data of industrial equipment in real time through a plurality of sensors, carrying out the preprocessing of the original operation data, obtaining the real-time operation data, and carrying out the calculation of the real-time operation data; the preprocessing comprises abnormal value detection and standardization; constructing a generative model based on the real-time operation data, generating a normal data sample of the industrial equipment in a normal state through the generative model, and integrating the real-time operation data and the normal data sample to obtain a multi-dimensional data sample; performing feature extraction on the multi-dimensional data sample by using a deep learning model to obtain a fault diagnosis vector; performing fault mode identification on the fault diagnosis vector through a classification model to obtain a fault diagnosis result, and performing state judgment on the fault diagnosis result according to a preset threshold to obtain an industrial equipment state; and the state and the fault diagnosis result of the industrial equipment are displayed in real time through a dynamic monitoring interface. According to the method, the real-time performance and the overall efficiency of fault diagnosis are improved, and the loss caused by equipment faults can be effectively reduced.

The invention discloses an intelligent nursing data task scheduling management system based on cloud computing, and relates to the technical field of nursing scheduling management. The cloud computing platform is in communication connection with a data acquisition module, a data storage module, a data processing and analysis module, a nursing evaluation module, a task scheduling module, a report generation module and a user interaction module, and all the modules are in electric signal connection. According to the intelligent nursing data task scheduling management system based on cloud computing, through calculation of the task scheduling evaluation model and the emergency degree evaluation value, the emergency degree and priority of the nursing tasks are evaluated, priority ranking is carried out on the nursing tasks, intelligent scheduling of the nursing tasks is achieved, it is ensured that the emergency and important tasks are processed preferentially, and the task scheduling efficiency is improved. The nursing efficiency and quality are improved, meanwhile, reasonable allocation can be carried out according to the priority of the tasks and available nursing resources, and resource utilization is further optimized.

The invention relates to the technical field of new energy vehicles, in particular to a driving and braking control method for a front and rear axle dual-motor driving pure electric commercial vehicle. Comprising the following steps: acquiring historical working condition data of the dual-motor pure electric vehicle; establishing a vehicle speed prediction model; setting network parameters of the vehicle speed prediction model, and training the prediction model; adjusting network parameters according to the predicted precision to obtain a vehicle speed prediction model; establishing a dual-motor pure electric vehicle model; establishing an improved DDPG proxy model based on a truncated triple Q network and learning rate scheduling; setting a state, an action and a reward function of the improved DDPG proxy model; training a control energy management model based on the training data set; validating the energy management model using the data set; and the trained model is embedded into a whole vehicle controller, and according to the current vehicle speed, the battery electric quantity SOC and the battery health state SOH, the distribution coefficient of the torque of the front axle and the rear axle of the vehicle is calculated in real time to control the operation of the vehicle.

The invention relates to the technical field of artificial intelligence, and particularly provides a large language model training method, system and device and a storage medium, and the method comprises the steps: collecting task samples based on task difficulty and task diversity demands; obtaining a support set and a query set of the task samples, and performing data enhancement processing on the support set; performing internal loop training on the meta-model by using the support set, and performing external loop training on the meta-model subjected to the internal loop training by using the query set to obtain a meta-gradient; and summarizing the element gradients, and updating the global model based on the element gradient summarized data by using an adaptive optimizer. The adaptive capacity of the large language model to the task type is improved.

The invention discloses an automatic verification device and method for a weighing coal feeder device. The automatic verification device comprises a weight calibration system, a weight verification control system, a sensor calibration system and a weighing coal feeder. According to the invention, the weight of the standard weight most suitable for the current calibration requirement is dynamically calculated and selected through the weight calibration system based on historical data, environmental parameters and the like of the weighing sensor, so that the calibration precision and flexibility are greatly improved, and variable working condition requirements can be met; according to the invention, an automatic weight verification control system is designed, horizontal displacement, lifting adjustment and state switching of the weight are realized, and the calibration process is fully automatic; the output data of the sensor are collected in real time through the sensor calibration system, dynamic correction is carried out in combination with multiple times of weighing error calculation and historical data, drift and error trends of the weighing sensor are analyzed in real time in combination with parameters such as temperature, humidity and vibration, and error correction values are generated, so that the accuracy of weighing data is ensured.

The invention discloses a method and system for monitoring and optimizing the state of a three-dimensional smart park. The method comprises the following steps: step 1, acquiring a park image video; extracting unit areas in the park video image by using the management prediction model, endowing each unit area with a dynamic identifier, and constructing a time sequence of the dynamic identifiers of each unit area according to a time sequence of each frame; judging the real-time state of the unit area in combination with the state variable quantity of the unit area in the current frame sequence; analyzing a state change trend of the unit region by using the management prediction model; according to an analysis result, generating an optimization suggestion, associating the optimization suggestion with the dynamic identifier of the unit region, and generating an optimization data sequence; mapping the dynamic identifiers, the real-time states and the optimization suggestions of the unit areas to the corresponding unit areas in the three-dimensional live-action model; and in combination with dynamically updated unit area state data, highlighting an abnormal area in a three-dimensional model in a dynamic identification manner, synchronously updating remote notification contents, and triggering a corresponding emergency management mechanism.

The invention discloses a uniform stranding device for aluminum alloy stranded cable processing, which comprises two stranding discs, an adjusting assembly, a limiting plate, support frames, a stranding disc and a die sleeve, and is characterized in that a plurality of support frames which are uniformly and annularly distributed and are used for mounting pay-off discs are arranged between the two stranding discs, and the adjusting assembly comprises a first gear, a second gear and an inner gear ring; the multiple second gears are located among the first gear, the second gears and the inner gear ring and are engaged with the first gear and the inner gear ring, the second gears and the supporting frame are fixedly connected and are rotationally connected with the first wire twisting disc, and the limiting plate is provided with a positioning rod used for positioning the first gear and the inner gear ring; according to the uniform stranding device for aluminum alloy stranded cable processing, a second gear in an adjusting assembly is limited through a positioning rod of a limiting plate, the rotating state of a supporting frame on a first stranding disc is adjusted, back-twist stranding processing and non-back-twist stranding processing of the aluminum alloy stranded cable are achieved, and the uniform stranding device is suitable for stranding processing requirements of aluminum alloy wire cores with different cross sections.

The invention discloses a CAN (Controller Area Network) bus test experiment system, which relates to the technical field of data processing and comprises a data acquisition and processing module for acquiring data frames from a CAN bus, adding timestamps and executing tasks such as data analysis, synchronization, filtering and caching; the control and display module is used for generating and sending a control instruction according to the vehicle state data and obtaining and updating the state information of the vehicle; the experimental report generation unit is used for sorting experimental data such as bit error rate, time sequence analysis and waveform detection into an experimental report; a plurality of test functions and experiment modules are integrated, and comprehensive support is provided for teaching and research of the CAN bus.

The invention relates to the technical field of non-electrical variable adjusting systems, and discloses a linear guide rail grinding precision adjusting system and method, and the linear guide rail grinding precision adjusting system comprises a linear guide rail grinding parameter acquisition module, a linear guide rail grinding result analysis module and a linear guide rail grinding adjusting module. A size measuring device is used for dynamically collecting single-time grinding actual size parameters of the outer surface of the linear guide rail in real time, single-time grinding state analysis parameters of the outer surface of the linear guide rail are accurately evaluated, and standard collection of the actual size and the actual state of grinding of the linear guide rail is achieved. According to the method, linear guide rail outer surface grinding single-time machining error size parameters are scientifically measured, linear guide rail outer surface grinding single-time machining grinding feed amount adjusting parameters are dynamically constructed, linear guide rail grinding size errors and adjusting size parameters are intelligently and efficiently generated, and the linear guide rail grinding precision and quality are improved.

The invention discloses a wood structure building information classification coding and data automatic identification mapping system and method, and the method comprises the steps: 1, creating a traditional wood structure building component-level model, and building a traditional wood structure building database; 2, performing overall view projection on the traditional wood structure building component-level model, matching the model with a traditional wood structure building database, and outputting a regulation code so as to screen corresponding data; 3, picking up the split components, performing isolated view projection, performing feature fuzzy matching with the simplified data pool, screening and defining the components, and outputting identification codes; 4, the traditional wood structure building is subjected to space division and tagging, and positioning codes of the components are generated; 5, the code segments are called according to purposes to be combined, and component codes are formed; and 6, integrating component parameters to carry out attribute addition and mapping, and endowing construction codes. The invention relates to the technical field of historic building information management, and can solve the technical problems in traditional wooden structure building information management in the prior art.

The invention discloses a matter change management system, which comprises a change acceptance subsystem and a change management subsystem; the change acceptance subsystem comprises a time sequence task processing module and a to-do work order management module; the change management subsystem comprises a work order monitoring module, a work order allocation management module and a time sequence task management module; the acceptor confirms the start of work order processing, the confirmation of work order processing completion and the work order transfer through the to-do work order management module; the manager sets the time sequence tasks of each acceptor through the time sequence task management module; all the matter change work orders being processed, the timed matter change work orders and the completion degree of the matter change work orders are monitored through the work order monitoring module, and the duration of the matter change of each acceptor is counted and the work order is transferred through the work order allocation management module. By implementing the invention, the digital management of existing matter changes can be realized, and the management efficiency of matter changes can be improved.

The invention relates to the technical field of experimental teaching, and discloses an industrial Internet of Things teaching practical training platform, which comprises an application layer and an industrial controller, the industrial controller is connected with an industrial monitoring screen, a ZIGBEE module, a multi-channel IO expander and an NB-IOT module, and the ZIGBEE module is connected with the multi-channel IO expander and is connected with an execution original group and a sensor group. A system layer creates an interface driver according to an interface type, and creates a virtual device driver for a device physically connected to a corresponding interface according to a device ID provided when an application layer performance function is called; the mode provides great flexibility and convenience for the teaching platform to expand the interface and the equipment needing to be connected on the interface according to actual needs.

The invention discloses a platform lifting type safety protection device which comprises a fixed side box mechanism assembly and a protection rope system. The fixed side box mechanism assembly comprises a fixed side box frame, a lead screw nut transmission mechanism and a belt transmission mechanism. The lead screw nut transmission mechanism comprises a roller guide rail sliding block assembly, a transmission lead screw and a cavity profile guide rail. The belt transmission mechanism comprises a belt wheel system and a folding connecting rod telescopic system; the upper end of the annular synchronous belt is fixed by the fixed belt clamp, the lower end of the annular synchronous belt drives the movable belt clamp to move upwards, and then the folding connecting rod telescopic frame is driven to contract. A double-section linkage sliding rail structure is adopted, and a motor drives a lead screw nut pair to drive a sectional material guide rail to do lifting motion; the section bar guide rail drives the synchronous belt to rotate, so that the four connecting rods are in synchronous linkage, the single-power double-linkage function is achieved, the double-section telescopic guide rail structure is adopted, the structure is stable and reliable, the total height of equipment is low, and sight shielding of passengers is effectively reduced.

The invention discloses a double-stroke lifting type safety protection device for a platform. The double-stroke lifting type safety protection device comprises a fixed side box mechanism assembly and a protection rope system. The fixed side box mechanism assembly comprises a fixed side box frame, a lead screw nut transmission mechanism and a belt transmission mechanism. The lead screw nut transmission mechanism comprises a roller guide rail sliding block assembly, a transmission lead screw and a cavity profile guide rail. The belt transmission mechanism comprises a belt wheel system and a sliding block lifting transmission system. The upper end of the annular synchronous belt is fixed by the fixed belt clamp, and the lower end of the annular synchronous belt drives the movable belt clamp to move upwards and the lifting sliding block to move upwards, so that a double-stroke mechanism system is formed. A double-section linkage sliding rail structure is adopted, and a motor drives a lead screw nut pair to drive a sectional material guide rail to do lifting motion; the sectional material guide rail drives the synchronous belt to rotate, so that the lifting sliding blocks are in synchronous linkage, the single-power double-linkage function is achieved, the double-section telescopic guide rail structure is stable and reliable in structure, the total height of equipment is low, and sight shielding of passengers is effectively reduced.

The present invention provides a fuel monitoring system and a monitoring method, which relate to the technical field of fuel monitoring, and include a data acquisition module: used to use a target sensor to collect first characteristic data of a target fuel in real time; a data processing module: used to preprocess the first characteristic data to obtain target characteristic data; a monitoring module: used to realize abnormal state detection and prediction of the target fuel based on the analysis of the target characteristic data, and generate a corresponding fuel monitoring report; an alarm module: used to realize state alarm and early warning functions of the target fuel based on the fuel monitoring report. By using different sensors to collect the characteristic data of the target fuel in real time and analyze it, abnormal state detection and prediction of the target fuel are realized, and the state alarm and early warning functions of the target fuel are realized through the generated fuel monitoring report, which can realize effective supervision of fuel quality and ensure fuel production safety and high efficiency.

The invention discloses a reconfigurable quantum heuristic metasurface. The metasurface is formed by regularly arranging discrete circular units in a two-dimensional space according to a set period, and each element atom is composed of three layers of metal microstructures, a substrate for supporting and connecting the microstructures, and a square metal backboard. The distances between the centers of any adjacent element atoms along the x-axis and the y-axis are the same, a minimum gap is kept, and each element atom is allowed to rotate freely. By adjusting the rotation angles of the three layers of metal microstructures, the unit can convert circularly polarized incident waves into any polarized reflected waves, so that accurate regulation and control of electromagnetic waves are realized. The reconfigurable quantum heuristic metasurface provided by the invention can simulate the characteristics of quantum bits through a specific regulation and control strategy, shows unique superposition and inseparability, and provides excellent information processing capability. In addition, the metasurface has high flexibility and reconfigurability, and can be dynamically adjusted as required to adapt to different application requirements.

The utility model discloses a tobacco storage cabinet material stirring roller operation state monitoring device which is characterized in that a first material stirring roller shaft is arranged at the upper end of a right side protection plate through a first bearing and a first bearing seat; the second material stirring roller shaft is mounted at the middle end of the right side protection plate through a second bearing and a second bearing seat; a third material stirring roller shaft is mounted at the lower end of the right side protection plate through a third bearing and a third bearing seat; the first induction sheet is fixed on the first material stirring roller shaft; the second induction sheet is fixed on the second material stirring roller shaft; the third induction sheet is fixed on the third material stirring roller shaft; the first proximity switch is installed at the upper end of the right side protection plate and located on the left side of the first induction piece. The second proximity switch is installed at the middle end of the right side protection plate and located on the left side of the second induction piece. The third proximity switch is installed at the lower end of the right protection plate and on the left side of the third induction piece. The state monitoring and fault alarm functions of mechanical components are realized, the accuracy of equipment fault state judgment is improved, and the intelligent level of equipment is improved.

The invention relates to an anti-mistaken-touch early warning device for transformer substation hoisting operation. The anti-mistaken-touch early warning device comprises a plurality of laser curtain wall protection modules, a suspension arm moving distance monitoring module, a base station positioning module, a main control module and an alarm module. The laser curtain wall protection module, the suspension arm moving distance monitoring module, the base station positioning module, the main control module and the alarm module communicate with one another through an ad hoc network. The laser curtain wall protection module is used for constructing a virtual fence; the suspension arm moving distance monitoring module is used for accurately monitoring the movement and height of the suspension arm; the system has the advantages of portable structure, convenience in on-site flexible deployment, real-time monitoring and active early warning.

The invention discloses a lithium ion battery service state monitoring system based on artificial intelligence, and belongs to the technical field of lithium ion batteries, and the lithium ion battery service state monitoring system based on artificial intelligence comprises an acquisition module, a processing module, an equalization module and a monitoring module, communication connection is established among the acquisition module, the processing module, the equalization module and the monitoring module, and the acquisition module is used for acquiring voltage data of each single battery to obtain a single battery voltage data set; the processing module is used for carrying out missing data compensation on the voltage data of each single battery through an established compensation unit according to the single battery voltage data set; and the equalization module comprises an analysis unit and a control unit, and the analysis unit is used for carrying out analysis according to the voltage data of each single battery and a set equalization threshold value. According to the invention, through the arrangement of the equalization module, problems are prevented from easily occurring in the process of monitoring the service state of the lithium ion battery.

The invention discloses a storage traceability method for teak cut raw materials, and belongs to the technical field of wood storage, and the method comprises the following steps: S11, generating a two-dimensional code: cutting teak logs to form teak raw materials; s12, warehousing operation is carried out, wherein the generated two-dimensional codes are printed and pasted to goods shelf bins, and the cut teak raw materials are stored to the corresponding goods shelf bins; s13, inventory management: carrying out inventory management on the raw material information recorded by the two-dimensional code through a warehouse management system; s21, warehouse-out application is carried out; s22, warehouse-out auditing: marking the goods shelf positions where the candidate raw materials are located, and forming a warehouse-out application form; s23, warehouse-out operation: according to the warehouse-out application form, taking out the candidate raw materials on the corresponding goods shelf positions, and carrying out matching operation; and S24, updating inventory data. The unique two-dimensional code is generated for each batch or each piece of cut teak raw material, and detailed raw material information is recorded, so that the transparency and traceability of storage information are greatly improved.

The utility model discloses a sensing type emulsion driving system which comprises a box body arranged in a mine, a driving mechanism used for forming an emulsion driving structure, a lubricating mechanism used for forming a lubricating oil distribution structure and a monitoring mechanism used for forming a combined monitoring structure, the driving mechanism is arranged on one side of the interior of the box body, the lubricating mechanism is assembled on one side, far away from the driving mechanism, of the interior of the box body, and the monitoring mechanism is arranged on the driving mechanism and the lubricating mechanism. The lubricating system is guaranteed to run stably, the use safety of the lubricating system is guaranteed, automatic lubrication on multiple devices at fixed time, fixed point and fixed quantity is achieved, a monitoring mechanism is arranged, and a pressure sensor, a weighing sensor, a grease sensor and a proximity switch are matched to detect the residual amount of lubricating grease and the working state of the lubricating system in real time, so that the working efficiency is improved. And potential safety hazards are reduced.

A kind of department operational performance data real-time display and target dynamic benchmarking method and device belong to hospital management information technology field, to solve department operational performance data display lag, target adjustment after benchmarking state update not timely and early warning index detailed positioning efficiency low problem, the present application is by periodically obtaining department operational raw data, generates department operational index data, multi-benchmarking result, dashboard display data and early warning judgment result, and after receiving adjusted target value, corresponding benchmarking, early warning and display data are regenerated, can improve the continuity of department operational index display, target dynamic benchmarking and detailed data query, it is suitable for hospital department operational performance data display, target benchmarking, index early warning and detailed query etc. field.

The invention discloses a power cable state on-line monitoring platform, which acts on a multi-phase power cable, and the multi-phase power cable comprises a cable A phase, a cable B phase and a cable C phase. The power cable state online monitoring platform comprises a magnetic induction sensor module, a data processing unit, a serial output port, a LoRa module, a relay server and a receiving terminal. The invention further discloses a power cable fault data identification method, and according to the method, the fault type and the fault position of the multiphase power cable are judged according to the data collected by the power cable state on-line monitoring platform in combination with the data of the multiphase power cable in normal use and the preset degree coefficient. Compared with the prior art, the online monitoring platform provided by the invention is installed in a power cable line section, and by adopting the method provided by the invention, on the premise that an outer insulating layer of the cable is not damaged, rapid identification and positioning of faults can be realized, the state of the power cable can be fed back in real time, and the measurement precision is high.

The invention discloses an underground equipment train self-moving controller system based on a wireless technology. The underground equipment train self-moving controller system comprises an electro-hydraulic control device, a wireless signal acquisition device, a driving device, a wireless remote control system and a sound-light alarm device. The system monitors clamping, braking and pushing states of a train in real time through a wireless pressure sensor and a distance measuring sensor, and intelligent self-moving operation of the train and a track is achieved in combination with a logical algorithm. And the controller adopts Ethernet communication and can be externally connected with a mining camera, so that video signal transmission and real-time equipment monitoring are realized. The design of the wireless sensor greatly reduces the installation difficulty, improves the installation flexibility, and reduces the cable dependence and the system power consumption. The warning lamp is integrated with a wireless communication module, does not need to be additionally provided with a wireless receiving module, and has the functions of sound-light alarm and remote control. The whole self-moving process achieves full-automatic operation through logic control and real-time data feedback, manual intervention is not needed, the device adapts to the complex underground environment, and the operation efficiency and safety are remarkably improved.

The present invention relates to the field of communication dispatching technology, and specifically to a fusion dispatching system and method for docking wireless communication and positioning of a mine-used private network, comprising a multimedia module and a dispatching module; the multimedia module comprises a private network communication module X1, a matching management module X2 and a switching coding module X3; the dispatching module comprises a dispatching switching module Y1, a VOIP communication module Y2 and a dispatching management module Y4; the dispatching management module Y4 is used to store the primary registration information of VOIP users; the matching management module X2 is used to store the secondary registration information of VOIP users; the matching management module X2 is also used to store the primary registration information of private network users; the primary registration information of private network users is the information of the registration authentication completed by the private network users in the multimedia module. The present invention can perform unified dispatching and status monitoring of private network users and VoIP users on the same dispatching console. The present invention can perform unified dispatching and status monitoring of private network users and VoIP users on the same dispatching console.

The invention relates to the technical field of image processing, and discloses an image processing method and system for CCD image localization, and the method comprises the steps: collecting a plurality of charging tray images from a fixed angle through a CCD camera, and constructing a center-of-gravity position sequence of a to-be-processed workpiece image of each charging tray; constructing a center-of-gravity offset sequence of the to-be-processed workpiece image of each tray; judging whether the placement of the charging trays is standard or not according to the gravity center point offset sequence, generating an initial offset evaluation value of each charging tray according to the offset in the gravity center point offset sequence, and adjusting the initial offset evaluation value according to the average offset to obtain a final offset evaluation value; determining an offset evaluation identification level according to the offset evaluation final value level; and storing and displaying the center-of-gravity position sequence, the center-of-gravity offset sequence, the offset evaluation final value and the offset evaluation identification level on CNC loading and unloading equipment. According to the invention, the monitoring process is simplified while the positioning precision is improved, and efficient and reliable automatic production can be realized.

The invention discloses an indication unit and a button switch, and aims to overcome the defects of a traditional button switch in the aspects of light-emitting part replacement, hot plug management, structural design, sealing performance, reset effect and the like. By arranging the pluggable connecting piece, the light-emitting piece can be quickly replaced; and meanwhile, a transient suppression piece and a hot plug management chip are introduced, so that the protection capability of the circuit and the stability of the system are enhanced. The optimized structural design enables the button switch to be more concise and reasonable and to be convenient to assemble and maintain. In addition, the sealing element and the elastic element are added to improve the sealing performance and the reset effect of the button switch, and the button switch is suitable for severe environments. The limiting groove and the protruding structure on the keycap enhance the sensitivity and stability of the switch, and the user experience is improved. According to the invention, significant progress is made in multiple aspects, and a more efficient and reliable solution is provided for the application of the button switch.