1708 results about "Spare part" patented technology

The invention relates to a spare part service life prediction method, device and equipment and a computer readable medium. The method comprises the steps of collecting multi-mode state data of a target spare part; verifying the historical consistency of the multi-modal state data; and under the condition that the historical consistency verification of the multi-modal state data is passed, inputting the multi-modal state data into a target residual life prediction model so as to predict a degradation track of the target spare part based on the multi-modal state data by using the target residual life prediction model, the target residual life prediction model is a neural network model obtained by training by taking a physics degradation mechanism of the spare part as priori knowledge; and determining the predicted remaining life of the target spare part based on the degradation trajectory. According to the method, the evaluation one-sidedness caused by insufficient single data dimension is avoided, the prediction credibility is improved through a data verification and physical mechanism constraint model, and the technical problem of low life prediction accuracy caused by spare part life counterfeiting is effectively solved.

The invention discloses a product full-life-cycle traceability after-sales service system based on multi-source heterogeneous data, and relates to the technical field of product traceability after-sales management. Manufacturing resumes, work orders, spare part warehouse-in and warehouse-out and equipment logs are accessed, mapping of product instances, parts and software primary keys is established, and the product traceability after-sales service system is established. And normalizing the configuration change event into a configuration change event containing double time axes of effective time and warehousing time, and writing the configuration change event carrying differential operation, an evidence packet and an idempotent event identifier into an immutable event library. And constructing a conflict set for the same configuration target, executing uniqueness, causality and compatibility constraint verification, determining an effective event based on evidence packet arbitration, and outputting an arbitration record and confidence. And deriving a configuration version chain according to the effective event and generating a snapshot, performing incremental playback on the late or error correction event and generating an influence propagation list. And when any time point configuration is queried, playback restoration is performed, an evidence chain and confidence are output, an active verification backflow error correction event is triggered if the confidence is insufficient, and the accuracy of quality guarantee judgment and spare part matching is improved.

The invention discloses an optimization method and system for aviation equipment storage and a medium, and the method comprises the steps: collecting multi-dimensional dynamic data, carrying out the fusion cleaning and structural feature extraction, and generating a high-dimensional feature set; outputting a dynamic demand prediction value and uncertainty measurement by using a hybrid intelligent prediction model fusing time sequence prediction and ensemble learning; calculating an optimal inventory control parameter through a stochastic optimization model in combination with the aviation material key grade and the stockout loss cost; and generating an inventory operation instruction according to the optimal inventory control parameter and the real-time inventory state, and outputting a strategy report with confidence evaluation and key influence factor analysis. According to the method, multi-dimensional accurate prediction of the aerial material demand and dynamic optimization of the inventory strategy are realized, the inventory control precision and the resource utilization efficiency are remarkably improved, the stockout risk and the overstocked cost are effectively reduced, and the reliability and the economical efficiency of aviation equipment guarantee are enhanced.

The invention relates to the technical field of mine equipment intelligent operation and maintenance and augmented reality, in particular to a forklift predictive maintenance and repair guidance system based on augmented reality, which comprises a multi-source data acquisition module, a mining area operation analysis module, a predictive maintenance engine, an AR intelligent repair guidance module and a resource dynamic scheduling center, a multi-source sensor is used for collecting equipment state and environment data, and mineral characteristics, path characteristics and load changes are dynamically analyzed in combination with working conditions of a mining area; the predictive maintenance engine constructs a fault prediction model based on a deep belief network, and dynamically corrects a working condition adaptive threshold; the AR module is used for positioning and superposing three-dimensional maintenance guidance through SLAM (Simultaneous Localization and Mapping), and adapting to the skill And the resource scheduling center generates spare part, personnel and alternative equipment scheduling schemes as required. According to the method, the whole process from fault prediction to maintenance execution is intelligentized, the fault early warning accuracy and the maintenance efficiency are improved, and the method is suitable for operation and maintenance management of mining forklifts under complex working conditions.

The invention discloses a novel quick-change mechanism with a flow control function for a tundish. The novel quick-change mechanism comprises a mounting part, a sliding part, a pressing part, a first driving part and a second driving part. And the functions of the stopper rod opening and closing device are integrated on the tundish quick-change nozzle device, so that the investment, the installation site, the maintenance cost, the spare part site and the cost of a set of equipment are saved. The two sets of equipment are combined into a whole, so that the number of operators in a steel mill is reduced, and meanwhile, preparation is made in advance for the subsequent steel mill if intelligent and automatic control over steel-making continuous casting is adopted, and the positive effect is achieved.

The invention relates to a coal machine spare part similarity identification and coding unification system and method and a storage medium. The system comprises a data acquisition module for extracting coal machine spare part data from a plurality of systems; the cleaning and preprocessing module is used for carrying out unified formatting processing on the spare part data; the feature extraction and matching engine is used for performing multi-dimensional feature extraction on the preprocessed data, including text similarity features, semantic features, structural features and attribute features; the similarity calculation and clustering module is used for calculating the comprehensive similarity of spare part data through a deep fusion network according to the multi-dimensional features, and performing automatic clustering according to the similarity; and the master data generation and system docking module is used for generating unified spare part master data for each cluster and synchronizing the spare part master data to a plurality of systems. According to the method, a large model and deep learning are utilized, multi-dimensional features are extracted and fused for multi-source spare part data, spare part similarity matching is carried out, dependence on a spare part coding format is broken through, and the accuracy and robustness of cross-system matching are improved.

The invention provides a property equipment spare part inventory dynamic prediction method based on an RFID technology, and the method comprises the steps: 1, collecting information in real time through an RFID reader-writer, and forming a historical data chain; step 2, cleaning and feature extraction are performed on historical data, and equipment fault rules and spare part consumption modes are mined in combination with time sequence analysis and a machine learning algorithm; 3, judging whether data returned by the RFID in real time is received or not, if so, returning to the step 1, and if not, executing the step 4; and Step 4, dynamically adjusting prediction model parameters according to the equipment operation condition and the spare part remaining quantity, and realizing accurate prediction of the spare part future demand quantity and time by using a dynamic weight optimization algorithm. And in combination with time sequence analysis and a machine learning algorithm, mining an equipment fault rule and a spare part consumption mode, continuously receiving equipment and spare part data returned by the RFID in real time, dynamically adjusting prediction model parameters according to the equipment operation condition and the spare part remaining quantity, and realizing accurate prediction of the spare part future demand quantity and time by using a dynamic weight optimization algorithm.

The present application relates to the technical field of temperature control, in particular to a temperature control method for injection mold of automobile spare parts production, comprising: according to the difference between the temperature value of the cavity and the core and the required temperature value at the current time, respectively completing the first temperature adjustment of the cavity and the core, after the first temperature adjustment of the cavity and the core, obtaining the temperature value of each monitoring point in the cavity and the core at the next time of the current time, and the flow rate of the cooling liquid in the cooling system of the cavity and the core, so as to determine the local temperature difference consistency of the temperature zone of the cavity and the core, and respectively complete the second temperature adjustment of the cavity and the core. The present application can improve the precision of injection mold temperature control, and is beneficial to the high-precision production of high-precision automobile spare parts.

The invention provides a power equipment spare part allocation method and system based on an intelligent agent. The method comprises the following steps: acquiring multi-source operation and maintenance data of fault power equipment; performing natural semantic analysis on the multi-source operation and maintenance data by utilizing a large language model to obtain deployment task description of the fault power equipment; according to the deployment task description of the fault power equipment, screening out a target spare part associated with the deployment task description from pre-acquired spare part inventory information; based on the spare part inventory information of the target spare part, generating an allocation instruction of the target spare part by using a pre-constructed allocation intelligent agent; based on the power equipment operation and maintenance scene in the multi-source heterogeneous environment, the large language model is packaged in the intelligent agent, and the task context and the strategy rule are fused, so that intelligent allocation of power equipment spare parts is facilitated, and the power equipment operation and maintenance efficiency is improved. And the efficiency bottleneck and the adaptability obstacle faced by a traditional allocation mode based on manual rules and static flow driving are broken through.

The invention discloses a fan fault analysis and operation and maintenance decision support method based on a new energy monitoring system, belongs to the field of new energy power generation monitoring, and aims at solving the problems that an existing system is low in fault recognition precision, depends on artificial experience and is not fully mined in data value. According to the method, a wind turbine generator SCADA system, meteorological data and operation log multi-source data are integrated, and a five-dimensional fault feature tag set of electrical and mechanical faults is constructed; after module pre-classification, a DBSCAN clustering algorithm is adopted for analysis, and samples with the similarity matching degree smaller than 60% of a new clustering center and an original clustering center serve as newly-added typical cases to update a fault processing knowledge manual; when the matching between the unit parameters and typical faults is greater than or equal to 80%, automatic early warning is carried out and a processing scheme is pushed; carrying out preventive maintenance in combination with a time sequence model, optimizing a spare part inventory according to a weighted model, and pushing a case when the matching between a fault and a historical case is greater than 90%; the method improves the fault diagnosis precision, shortens the processing time, reduces the operation and maintenance cost, and is suitable for various manufacturer models.

The invention discloses a management method and system for improving the receiving rate of spare parts purchased in the engineering period of a nuclear power plant, and relates to the technical field of industrial automation and monitoring, and the method comprises the steps: extracting consumption records after commercial transportation for units of the same supplier in a group, generating a list of spare parts purchased in the engineering period, and removing low-failure-rate parts; high-frequency consumables are retained to improve pertinence. And secondly, for spare parts which are not present, not scheduled and wide in coverage, a framework protocol is established with a manufacturer to lock unit prices and agree on demand supply, so that inventory occupation caused by mass transfer is avoided. And finally, executing a four-consistency principle on the on-site spare parts, namely checking an EOMM manual, and finally confirming a list, spare part real objects and on-site installation real objects. When the model or the code is upgraded, the specification is upgraded and solidified in combination with the commitment function of the manufacturer and the EOMM manual; when differences occur, interchangeability argumentation is carried out through technical analysis and an item replacement process, spare parts which are argumented to be available are put in storage and updated to an equipment spare part BOM and a template work order, and verifiability, traceability and efficient receiving of the spare parts are achieved.

The invention relates to the technical field of air cylinder machining, and discloses a part cutting device for air cylinder machining, the part cutting device for air cylinder machining comprises a machining table, a telescopic air cylinder is installed at the top of the machining table, according to the part cutting device for air cylinder machining, a movable assembly is arranged, a controller starts and controls a motor, and an output shaft of the motor drives a first cam to rotate; a gear on one surface of a cam is meshed with an inner gear ring and synchronously rotates during revolution, a fixed rod on the gear drives a movable rod to act, the movable rod is guided by a sliding block, slides downwards along with the gear in a self-steering mode, drives the sliding block to transversely slide in a reciprocating mode along revolution and moves in a triangular path, and then a cleaning plate is driven to conduct reciprocating sweeping along a conveying belt. The scraping plate at the bottom of the cleaning plate scrapes large chippings, and the internal cleaning block is attached to the conveying belt under the action of the fixing spring, so that part positioning deviation and cut-off deviation caused by the chippings are prevented, machining consistency is guaranteed, the rate of unqualified products is reduced, and the service life of equipment is prolonged.

The invention discloses a new unit equipment risk management and control and spare part demand optimization method and system, and relates to the technical field of intelligent operation and maintenance, and the method comprises the steps: collecting operation condition signals in real time, constructing a digital twin model of each part of unit equipment, and forming a unified discrete state vector; performing feature extraction on the operation condition signal according to a fixed window, and constructing a Bayesian network of a hierarchical causal structure in combination with process attributes; performing posterior reasoning on the Bayesian network through belief propagation to obtain a fault posterior probability of a causal node, and calculating a risk score according to a weight and a consequence cost; and life parameter estimation is carried out, Monte Carlo simulation is used to predict the demand quantity, and the optimal spare part order quantity is calculated in combination with inventory constraints. According to the method, potential risks can be found in time, non-planned shutdown is reduced, inventory redundancy and capital occupation are reduced, and the safety, reliability and economical efficiency of operation of a new unit are improved.

The invention relates to the technical field of charging pile management, in particular to an intelligent management method for charging piles, which comprises the following steps of: acquiring a fault reporting position, a fault type and a fault priority of each charging pile, simultaneously acquiring professional skills, a current position, a working time window and a central spare part library position of a maintenance engineer, and constructing a to-be-scheduled maintenance task list. According to the method, the fault position and the fault priority are mapped to the urban map grid and weighted counting is carried out to form the demand side pressure expression, the relationship between the service radius and the position of an engineer is introduced, the supply side space distribution is formed through superposition, the regional maintenance resource supply and demand situation is dynamically constructed in a quantifiable mode, and the task allocation efficiency is improved. According to the resource supply and demand diagram, an initial task sequence is allocated for an engineer, and sequence adjustment and task exchange are performed, so that a scheduling scheme can be optimized according to actual capability, path accessibility and a time window.

The invention relates to a spare part plan determination method and device, computer equipment, a medium and a program product, and the method comprises the steps: predicting the first spare part demand of a spare part in N time periods based on the expected delivery amount and order demand of the spare part in the N time periods after the current time period in the current time period; based on the first spare part demand quantity in the N time periods and the second spare part demand quantity in each time period which is not executed in the issued spare part plan, determining a target time period in which the spare part demand quantity needs to be adjusted; wherein the number of the unexecuted time periods in the issued spare part plan is M, N and M are positive integers, and N is greater than M; and adjusting and re-issuing the second spare part demand quantity of the spare part in the target time period, and issuing the first spare part demand quantity of the spare part in the N time periods and in the time period which is not overlapped with each time period which is not executed. By adopting the method, the making accuracy of the spare part plan can be improved.

The invention provides a multi-element material integrated compression molding component manufacturing method and a product. The product is composed of a plurality of embedded reinforcing skeleton spare parts, an integrated carbon fiber first side plate and an integrated or split type second side plate. Wherein the embedded reinforcing skeleton spare parts are manufactured by adopting a hot gas bulging forming process; the embedded reinforcing skeleton spare parts are connected and assembled through welding to form a reinforcing inner skeleton sub-assembly; the integrated carbon fiber first side plate is matched with the reinforced inner framework sub-assembly in shape, and the integrated carbon fiber first side plate and the reinforced inner framework sub-assembly are combined to form a composite forming sub-assembly through a mold pressing process; and the second side plate and the composite molding sub-assembly are combined to form a product assembly structure.

The invention belongs to the technical field of data processing, and particularly discloses an equipment operation and maintenance-oriented spare part demand prediction and scheduling optimization big data method, which comprises the following steps of: obtaining equipment operation and maintenance data from multi-source data, and performing preprocessing operation on the equipment operation and maintenance data; predicting a time sequence corresponding to the preprocessed equipment operation and maintenance data based on the constructed deep learning model to obtain prediction demands for spare parts in each time period in the future; constructing a single-target optimization task according to the prediction demand, analyzing the single-target optimization task based on a target algorithm, and determining an optimal spare part distribution scheme to realize scheduling optimization; and receiving actual data in the execution process of the spare part allocation scheme, and feeding back the actual data to the process of demand prediction and scheduling optimization to realize dynamic iterative update of a prediction model and an optimization strategy. According to the invention, the accuracy and scheduling efficiency of spare part demand prediction can be improved.

The invention relates to an emergency material distribution and treatment method and device, equipment and a medium, and the method comprises the steps: obtaining the spare part types of N emergency repair points, and obtaining the non-standard demand frequency of the N emergency repair points based on the spare part types; scene constraints are obtained, and feature vectors of each emergency repair point are constructed according to the non-standard demand frequency and the scene constraints; similarity clustering is carried out based on the feature vectors, and a space-similar point set is determined; calculating a comprehensive score of the target emergency repair point according to the space-similar point set, and determining a material distribution method according to the comprehensive score; and determining an evaluation period of each emergency repair point according to a material distribution method, and determining an inventory management method according to the evaluation period. The method has the effect of improving the material distribution and treatment accuracy.

The application discloses an industry data management method based on big data, and belongs to the technical field of industry data management, and specifically comprises the following steps: constructing an after-sales data warehouse based on historical after-sales maintenance records; extracting the correlation relationship of spare parts and restoring the level of finished parts from the after-sales data warehouse to construct a coupling correlation topology; screening abnormal samples deviating from the expected failure mode, extracting corresponding supplier production process parameters and batch information, and forming a process parameter set; deconstructing the coupling correlation topology and combining the process parameter set to establish an attribution mapping parameter set; constructing a causal inference model between the attribution mapping parameter set and the failure mode to obtain the attribution weight of each supplier batch to the failure mode; and marking the supplier batch with an attribution weight exceeding a preset threshold as a target traceability batch and outputting the same. The application realizes accurate attribution from after-sales failure data to a supplier batch, and provides a quantitative basis for supply chain quality control.

The utility model provides a roof type air conditioner and an air conditioning system. The roof type air conditioner comprises a shell; a baffle; the baffle is arranged in the first state or the second state, the quick release structure is arranged on the shell, and when the baffle is in the first state or the second state, the baffle can be fixed to the shell through the quick release structure. According to the roof type air conditioner and the air conditioning system, the bottom face air outlet or the side face air outlet is sealed through the same baffle according to needs, so that the air outlet direction of the roof type air conditioner is adjusted, and the baffle is fixed through the quick release structure; the problem that in the prior art, screws need to be used for fixing the baffle, and consequently parts are prone to being lost is solved, the installation efficiency and reliability of the roof type air conditioner are improved, and the use experience is improved.

The application discloses a feeding device and a bias-cut meat slicer, which comprises a feeding mounting plate, a bearing mechanism slidably matched with the feeding mounting plate, a feeding driving structure for driving the bearing mechanism to move linearly back and forth along the length direction of the feeding mounting plate, a transmission mechanism transmissionally connected between the feeding driving structure and the bearing mechanism, a first force applying component arranged at one end of the feeding mounting plate, the first force applying component being used for applying an acting force to the transmission mechanism in the direction opposite to the forward movement direction of the bearing mechanism, so that the transmission mechanism drives the bearing mechanism to overturn downward to an open state, and a second force applying component arranged at the other end of the feeding mounting plate, the second force applying component being used for applying an acting force to the transmission mechanism in the direction opposite to the return movement direction of the bearing mechanism, so that the transmission mechanism drives the bearing mechanism to overturn upward to a closed state. The application has the characteristics of flexible switching of overturning action, stable operation, less damage of spare parts and longer service life.

The application discloses a bogie maintenance line for initial and later operations by a truss robot, characterized in that the maintenance area comprises a bogie intake line, a frame maintenance line, a bogie discharge line, a good wheelset intake station, an aerial longitudinal track and the truss robot; the bogie intake line comprises a disassembly station; the bogie discharge line comprises a wheel dropping station; the frame maintenance line comprises a final station; the truss robot comprises a gripper, a large trolley, a small trolley and a lifting device; the truss robot can separate the frame and the wheelset by grabbing the frame at the disassembly station, and place the frame with spare parts at an initial station; the truss robot can grab the wheelset at the good wheelset intake station and place it at the wheel dropping station, and then place the frame at the final station on the wheelset at the wheel dropping station; when the gripper is at the highest position, the highest position of the grabbed frame or wheelset is higher than the lowest position of the truss robot; and the main advantages are low labor intensity and high operation efficiency.

The utility model relates to the technical field of transplanting machines, and discloses a transplanting machine part quick dismounting structure which comprises a frame, a driving mechanism is arranged in the frame, a mounting seat is fixedly connected to the outside of the driving mechanism, a mounting mechanism is arranged outside the mounting seat, the mounting mechanism comprises a first fixing block, and a second fixing block is arranged on the first fixing block. A first round rod is fixedly connected to the interior of the first fixing block, two sliding plates are slidably connected to the exterior of the first round rod, an annular clamping block is fixedly connected to the tops of the two sliding plates, a funnel is slidably connected to the interior of the mounting base, and the exterior of the first round rod is sleeved with an elastic assembly. When the funnel is installed, the sliding plate is pulled open to stretch the clamping spring, the clamping spring is loosened after the funnel is placed in, the spring shrinks to enable the clamping block to fix the funnel, the sliding plate is pulled to loosen the clamping block when the funnel is detached, the effect of rapidly installing and detaching the funnel is achieved, operation is easy and convenient, and the installing and detaching efficiency of parts of the transplanter can be effectively improved.

The present application relates to the technical fields of RTO oxidation furnace, and discloses a heat exchange type RTO oxidation furnace and a use method thereof, which comprises an RTO oxidation furnace body, a gas guide pipe, a valve mechanism and a steering mechanism, the RTO oxidation furnace body is connected with the gas guide pipe, and the valve mechanism comprises a supporting plate, a first transmission rod, a valve core and a linkage unit. The whole linkage of the valve mechanism is driven by the gas flow kinetic energy of the gas guide pipe, so that the valve core realizes high-frequency opening and closing, the traditional motor driving mode is completely abandoned, the motor wear, jam and power consumption problems are fundamentally eliminated, external power input is not needed, energy consumption is greatly reduced, there are no vulnerable parts such as motors and bearings, the failure rate is also greatly reduced, the frequency of shutdown maintenance and the cost of spare parts replacement are reduced, and through the setting of the steering mechanism, the narrow surface of the counterweight disc in the linkage unit is parallel to the gas flow when swinging to the farthest end, the resistance area is reduced, and stable reciprocating motion is realized in combination with gravity backswing.

The utility model discloses an inner clamping disc brake device which comprises a shaft sleeve, a rotating shaft, a second brake disc and a disc brake disc, the shaft sleeve is fixedly connected with a wheel body of a take-up and pay-off wheel and rotates along with the wheel body, and a first brake disc is fixedly installed or integrally formed on the end face of one side of the shaft sleeve; the rotating shaft is rotationally installed in the shaft sleeve through a bearing, the two ends of the rotating shaft extend out of the shaft sleeve, one end of the rotating shaft is provided with an anti-reversing mechanism, and the other end of the rotating shaft is provided with a force application mechanism. The second brake disc rotationally sleeves the rotating shaft, a limiting reset mechanism is arranged between the first brake disc and the second brake disc, and under the action of the limiting reset mechanism, the first brake disc and the second brake disc synchronously rotate and get close to and get away from each other in the axial direction; the disc brake disc is sleeved on the rotating shaft and rotates along with the rotating shaft. According to the utility model, double-sided friction is realized, the number of spare and accessory parts is reduced, the processing and assembling cost is reduced, and the size miniaturization of the shaft sleeve is facilitated.

The utility model provides a kind of assembled rod-shaped door lock and manhole door, including main rod, link rod, lock tongue and handle.The link rod has two, respectively assembled in the both ends of the main rod.Adjustment mounting structure is equipped between the link rod and main rod, with higher flexibility.The lock tongue is installed in the end of link rod away from main rod.One end of the handle is installed in the middle of main rod, and with the main rod as pivot, so that user can rotate main rod and link rod by turning the handle, and then drive the lock tongue to enter / exit lock hole.The door lock rod provided by the utility model adopts assembly structure, not only need not welding when assembling, but also can replace spare parts through detachable structure when maintaining, simple maintenance, and will not cause waste due to overall replacement, in addition, the rod-shaped door lock provided by the utility model can adjust length or replace link rod of different length, can be applied to multiple specifications of manhole door, with high flexibility.

The utility model relates to the technical field of check valves, in particular to a fire-fighting check valve structure which comprises a valve body, a baffle is mounted in the valve body, a limiting rod is fixedly connected in the center of the baffle, a spring and a locking mechanism are mounted on the outer side of the limiting rod, and the locking mechanism is fixedly connected with the baffle. A locking mechanism is installed on the outer side of the valve body and can lock the position of the limiting rod, the position of the blocking plate is fixed by locking the position of the limiting rod, a fixed space is formed by the blocking plate and an opening in the check valve, and the limiting mechanism is installed on the outer side of the valve body. The limiting mechanism can extrude the baffle plate, so that the distance between the baffle plate and the opening of the check valve is increased more conveniently, repeated opening and closing under the impact of water flow are avoided, and a circulation space is stably provided; according to the check valve, the abrasion consumption of parts in the check valve is reduced, and the service life is prolonged.

1. Name of the designed product: automobile wheel hub adjusting washer (Honda series). 2. Use of the designed product: the designed product is used for automobile wheel hub tire spare parts. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view.

The utility model relates to the technical field of lighting devices, and discloses a turnover type lighting device which comprises a cleaning box, a turnover lighting device body rotating around the length direction of the cleaning box is arranged on the cleaning box, the turnover lighting device body comprises a U-shaped rotating frame, and the rotating frame comprises a transverse rod and connecting rods located at the two ends of the transverse rod. Light bars are arranged on the inner side faces, facing the connecting rods, of the transverse rods, and the free ends of the connecting rods are rotationally connected with the buckling corners of the outer side faces of the cleaning box end plates; the turnover lighting device is arranged outside the cleaning box, on one hand, damage to the light bar caused by water scouring in the cleaning process can be prevented, the situation that personal safety and equipment safety are threatened by negative effects such as short circuit is avoided, corrosion of chemical cleaning agents can be eradicated, and the service life is prolonged; and on the other hand, the external structure is convenient to maintain and does not conflict with the internal cleaning process, that is, integral maintenance of the lighting device or replacement of parts can be achieved in the cleaning process.