307results about How to "Timely maintenance" patented technology

According to the harmonic amplification detection method and system of the electric power system, the frequency response of the impedance of the electric power system containing inter-harmonic frequency components is analyzed by obtaining the topological structure and the load distribution condition of the electric power system, and the impedance frequency characteristic scanning is performed on the electric power system at different frequencies by adopting a harmonic injection method; obtaining an impedance frequency response curve; according to the frequency interval of harmonic amplification, the hazard coefficient of the harmonic is evaluated through the voltage distortion rate and the current distortion rate caused by the harmonic, and the type of harmonic source equipment causing harmonic amplification is determined according to the hazard coefficient. According to the scheme, the harmonic source equipment can be detected, the power system can be conveniently maintained in time, and the stability of the power system can be improved.

The invention provides a power station photovoltaic module defect detection method and device based on unsupervised learning. The method comprises the steps that firstly, a thermal imaging image to be detected and a visible light image in a target area provided with a photovoltaic module are collected; cutting a thermal imaging photovoltaic module image from the thermal imaging image, and cutting a visible light photovoltaic module image from the visible light image; afterwards, a teacher network model and a visible light photovoltaic student network model in the photovoltaic defect detection model are used for processing the visible light photovoltaic module image, and position information of the visible light abnormal photovoltaic module is determined and returned; and the teacher network model and the thermal imaging photovoltaic student network model in the photovoltaic defect detection model are used to process the thermal imaging photovoltaic module image, and the position information of the thermal imaging abnormal photovoltaic module is determined and returned. Wherein the photovoltaic defect detection model is obtained by training in a label-free supervision mode.

The invention discloses an operation and maintenance control system for automatic intelligent equipment, and the system comprises an equipment monitoring and data collection module which is used for carrying out the real-time monitoring, data transmission and data storage of the automatic intelligent equipment; the data analysis and anomaly detection module is used for carrying out data preprocessing, data analysis and anomaly detection on the monitored data; the fault diagnosis and positioning module is used for performing fault diagnosis and fault positioning; the maintenance decision and execution module is used for making a maintenance decision and executing the maintenance decision according to the fault diagnosis and positioning result; and the feedback and optimization module is used for recording the maintenance process and optimizing the operation and maintenance control flow according to the maintenance feedback and the data analysis result. According to the invention, intelligent and comprehensive automatic intelligent equipment operation and maintenance control can be carried out.

The invention provides a multi-modal fusion power transmission line inspection method and device, and relates to the technical field of power transmission line inspection application, and the method comprises the steps: collecting a multi-modal image of a to-be-inspected power transmission line at a current moment; inputting a feature pyramid network embedded into a multi-scale context adaptive joint learning network to obtain a multi-modal image fusion feature, and judging whether an abnormal event exists in the image corresponding to the to-be-inspected power transmission line under the action of the multi-modal image fusion feature; if the position information of the unmanned aerial vehicle exists, establishing an incidence relation function between the position information of the unmanned aerial vehicle at the current moment and the multi-modal image fusion features based on the similarity between the multi-modal features representing the position information of the unmanned aerial vehicle; inputting the corresponding image of the to-be-inspected power transmission line with the abnormal event mark into the incidence relation function, and determining longitude and latitude position information of the abnormal event in the to-be-inspected power transmission line; the technical problem that a power transmission line has potential safety hazards due to poor accuracy of an inspection result is solved.

The invention relates to the technical field of battery heat dissipation devices, and discloses a battery heat dissipation method, a battery heat dissipation device and a battery pack, the battery heat dissipation device comprises a shell, a sealing cover is arranged on the inner wall of the shell, and a water cooling plate is fixedly assembled at the top of the sealing cover. By means of the shell, the sealing cover, the water cooling plate and the fan structure, in the operation process of the device, when the temperature of the body rises rapidly due to rapid rising, air pressure can be increased through the internal temperature, a piston is pushed to move, a second reset spring is compressed, and the space where one body is located is communicated with the space where the other body is located; meanwhile, a water cooling plate is controlled to operate through a controller, energy loss caused by continuous operation of water cooling in the normal operation state of the body is prevented from being increased, a movable plate is pushed to conduct bump detection operation on the body in cooperation with movement of a piston, and then the operation temperature of the body is accurately monitored, and the bump condition of the body is detected; therefore, a user can maintain the device and the body in time.

The glass fiber reinforced plastic pipeline comprises a water inlet pipe and a smashing mechanism, a connecting sleeve is installed at the lower end of the water inlet pipe in a threaded mode, a water outlet pipe is installed at the right end of the connecting sleeve in a threaded mode, and flange plates are fixedly installed at the tail ends of the water inlet pipe and the water outlet pipe. And the detection mechanism comprises a sealing sleeve, an overflow hole and a humidity sensor, the overflow hole is formed in the inner side face of the sealing sleeve, the humidity sensor is installed in the sealing sleeve, the output end of the motor is connected with a smashing roller, and blades are installed on the surface of the smashing roller. According to the glass fiber reinforced plastic pipeline capable of being smashed and preventing blockage, the smashing mechanism is arranged to smash large impurities mixed in sewage, the glass fiber reinforced plastic pipeline is prevented from being blocked, the detection mechanism is arranged to detect the sealing performance of the glass fiber reinforced plastic pipeline and the connecting sleeve in time, timely overhaul is facilitated, and the filtering mechanism is arranged to filter the impurities and collect and clean the impurities conveniently; and the anti-backflow mechanism can prevent the sewage from flowing back.

The invention discloses a pipeline monitoring and maintenance method based on unmanned aerial vehicles (UAVs), and relates to the technical field of pipeline monitoring. The method comprises the following steps: obtaining structural data of a pipeline to be monitored and surrounding network signal strength data, calculating structural similarity and network similarity between the pipeline to be monitored and each pipeline in a monitored pipeline set, and screening out a target monitoring pipeline set and a corresponding UAV set with similar structures and network conditions; calculating a priority index of each target UAV through the remaining power and image upload quality characteristics; selecting a UAV with the highest priority index to perform a monitoring task, and judging whether the pipeline needs maintenance; in this way, for a pipeline that is firstly introduced with UAVs for pipeline monitoring, a suitable UAV can be selected according to actual conditions to monitor the pipeline to be monitored, so that the monitoring data is relatively comprehensive and has high accuracy, and minute cracks or leakage points in the pipeline can be discovered in time, and the pipeline can be maintained in time, thereby reducing the possibility of risks in the pipeline.

The invention provides a consistency diagnosis method and device for an energy storage battery, and belongs to the field of intelligent diagnosis of an energy storage battery system, and the method comprises the steps: collecting original data of the energy storage battery at a set time interval, and sorting the original data according to a time field; cleaning the original data to obtain cleaned data; extracting all static time segments of the energy storage battery according to current information in the cleaned data, and screening out long static segments; screening the highest voltage and the lowest voltage according to the voltage information in the long standing segment, converting the highest voltage and the lowest voltage into corresponding highest capacity and lowest capacity, calculating a difference value between the highest capacity and the lowest capacity, and when the difference value is greater than a set threshold value, determining that the battery is an abnormal battery; screening out single batteries with outlier capacities from the abnormal batteries, and carrying out abnormity alarm; the capacity-based consistency diagnosis can more accurately evaluate and judge the energy performance of the energy storage unit in the charging and discharging process, and the accuracy of consistency detection is improved.

The utility model relates to the technical field of riveting assembly, and discloses a full-automatic air cylinder riveting assembly machine which comprises an operation table, an air cylinder feeding disc, an air cylinder discharging disc, a gas generator empty material box and a gas generator feeding box are installed on the top of the operation table, and a riveting dust removal assembly, an oiling machine and a rack sealing ring are fixed to the upper portion of the operation table. An empty disc carrying mechanism is fixed above the air cylinder feeding disc, the air cylinder discharging disc, the gas generator empty material box and the gas generator feeding box. According to the full-automatic air cylinder pressing rivet assembling machine, the alloy frame is additionally arranged on the operation table to protect a machine, the two-way push-pull metal panel is clamped to the alloy frame, dust can be blocked when the machine is not used, and the machine can be conveniently overhauled in time when the machine breaks down; therefore, moving during travel is facilitated.

The invention discloses a fault prediction method and device and a storage medium, and is applied to the technical field of computers, and the method comprises the steps: collecting ECS information, carrying out the statistics of error correction times completed in a memory particle, tracking an occurrence position, and positioning a potential weak address region where ECC frequently occurs in the particle; analyzing information such as fault types, fault addresses, error reporting time, error reporting memory temperatures, task types, task pressure and occupancy rates by the aid of the information reported by the BMC; through the above information, comprehensive working state information is obtained, the working state information is input into a probabilistic neural network PNN, probability distribution of different fault types occurring in a memory is predicted, the effect of assisting fault prediction and judgment is achieved, and prediction accuracy is improved. In addition, the working state information is input into the PNN, and the predicted probability that the memory bank has an uncorrectable fault can be obtained. Furthermore, the operation and maintenance personnel can set a fault excitation test scheme, and system risks brought by the CXL memory are eliminated.

The invention relates to the technical field of telegraph pole tower state detection, and discloses a telegraph pole tower inclination condition real-time monitoring and positioning device and a corresponding method.The telegraph pole tower inclination condition real-time monitoring and positioning device comprises a monitoring shell and a monitoring and positioning assembly arranged in the monitoring shell, the opening of the monitoring shell is covered with a shell cover, and a mounting groove is formed in the upper side of the outer wall of the monitoring shell; a solar panel is embedded in the mounting groove, an arc-shaped clamping plate is fixedly arranged on the side, away from the solar panel, of the monitoring shell, rotating assemblies are arranged on the two sides of the arc-shaped clamping plate correspondingly, and a first bandage and a second bandage are arranged through the rotating assemblies correspondingly; the sides, away from each other, of the first binding band and the second binding band are provided with a plurality of first inserting grooves and second inserting grooves which are arranged at intervals respectively. According to the real-time monitoring and positioning equipment for the inclination condition of the telegraph pole tower and the corresponding method, the inclination condition of the telegraph pole tower can be continuously and accurately monitored for a long time by arranging a plurality of monitoring modules and stably connecting the monitoring modules with the outer wall of the telegraph pole tower.

The invention provides a fault diagnosis method for a transmission chain of a direct-driven wind generating set. The fault diagnosis method comprises the following steps: acquiring sensing data of a plurality of measurement positions on the transmission chain of the direct-driven wind generating set; performing feature analysis on the acquired sensing data to obtain time domain feature data and frequency domain feature data; and inputting the time domain characteristic data and the frequency domain characteristic data into a pre-constructed fault diagnosis model to obtain a fault diagnosis result representing whether the transmission chain of the direct-driven wind generating set has a fault or not. The problem that accurate fault diagnosis is difficult to carry out on the transmission chain of the unit is solved, and fault diagnosis can be carried out based on more comprehensive data and characteristics by carrying out time domain and frequency domain comprehensive analysis on the data of the multiple measurement positions on the transmission chain, so that the transmission chain abnormity can be accurately identified, maintenance is carried out in time, and the fault diagnosis efficiency is improved. And the safety of the unit is ensured.

The invention relates to the technical field of CCUS, and discloses an offshore sandstone CCUS technology optimization method and system and computer equipment. The offshore sandstone CCUS technology optimization method comprises the steps that an offshore area with a sandstone layer is obtained, an offshore platform is established, and direct air capture equipment is arranged on the offshore platform; a novel amine-containing absorbent is adopted to absorb carbon dioxide in the air which is directly absorbed by the air capturing equipment; the absorption tower adopts a composite material and a coating structure; fluid dynamics simulation software is adopted to calculate air flow and liquid flow in the carbon capture process, simulation data are analyzed, and fluid distribution in the tower and the tower body structure are optimized; conveying the extracted carbon dioxide to a geologic structure under a seabed of a storage place through a pipeline for sealing and storing; and evaluating the potential influence on the marine ecosystem by adopting an ecological model and environment simulation software, and generating an influence report. The carbon dioxide capturing and storing efficiency and safety can be improved, and meanwhile the influence on the environment is minimized.

The invention belongs to the technical field of turn-milling composite five-axis rotary tables, and particularly relates to a turn-milling composite five-axis rotary table which comprises two side plates and rotary shafts rotationally connected to the side walls of the two side plates, the opposite ends of the two rotary shafts are fixedly connected with the same rotary table frame, and a rotary table is rotationally connected into the rotary table frame. The side wall of the side plate located on the right side is fixedly connected with a PLC. When abnormal vibration occurs in the working process of the turning and milling composite five-axis rotary table, the gravity center of the five-axis rotary table can be adjusted firstly, so that the problem of abnormal vibration of the five-axis rotary table caused by deviation of the gravity center of a workpiece is solved, and when it is detected that the abnormal vibration of the five-axis rotary table caused by deviation of the gravity center of the workpiece is not found, the turning and milling composite five-axis rotary table is started. And an operator can be reminded of the abnormal vibration condition in time, so that the operator can know the abnormal vibration condition of the five-axis turntable in time and overhaul the five-axis turntable in time, and the stability of workpiece machining is ensured.

The utility model relates to the technical field of coal mine tunnel protection, and discloses a coal mine tunnel supporting device which comprises a positioning seat, an alarm type supporting mechanism is arranged at the top of the positioning seat and comprises an auxiliary supporting piece, a threaded rod is in threaded connection with the inner wall of the auxiliary supporting piece, and the threaded rod is in threaded connection with the positioning seat. A lifting table is rotationally connected to the top of the threaded rod, a sliding rod is welded to the bottom of the lifting table, and the outer wall of the sliding rod is slidably connected with the inner wall of the auxiliary supporting piece. Through the design of the threaded rod, the top of the rubber block can be attached to the bottom of the arc-shaped top plate by rotating the threaded rod, if the arc-shaped top plate deforms, pressure is applied to the pressure sensor through the rubber block, and after the pressure value monitored by the pressure sensor is larger than a preset value, the audible and visual alarm is immediately controlled to work; and an acousto-optic alarm is given to prompt a user, so that the user is supervised to maintain the arc-shaped top plate in time, and the problem of causing larger accidents is avoided.

The invention relates to a battery thermal runaway early warning protection system based on a BMS system in the field of battery thermal management, when a single cylindrical battery cell in a battery pack abnormally heats, the abnormal single cylindrical battery cell and adjacent cylindrical battery cells around the abnormal single cylindrical battery cell are all powered off, heat transfer among different cylindrical battery cells is reduced, and the battery thermal runaway early warning protection system based on the BMS system is achieved. The abnormal cylindrical battery cell is cooled by injecting a certain amount of coolant; when the temperature continues to rise after the quantitative coolant is injected, the coolant is continuously injected, and the quantitative coolant is injected to the adjacent cylindrical battery cells, so that the cooling effect is improved, the adjacent cylindrical battery cells are further protected, and heat is timely discharged by arranging an exhaust pipe; and when the temperature of the abnormal cylindrical battery core exceeds the thermal failure temperature, all the other cylindrical battery cores are powered off, and a coolant is continuously filled into the protective cylinders of the adjacent cylindrical battery cores at the periphery, so that the adjacent cylindrical battery cores are further protected.

The invention belongs to the technical field of power supply operation supervision, and particularly relates to an industrial UPS operation monitoring system based on artificial intelligence, which comprises a sensor monitoring module, an intelligent analysis output module, an energy efficiency detection optimization module, an industrial production influence analysis module and a user interaction module, the UPS power supply is monitored and intelligently analyzed in real time through the sensor monitoring module and the intelligent analysis output module, potential faults are found and processed in time, the stability and reliability of the UPS power supply are improved, the working mode of the UPS power supply is dynamically adjusted through the energy efficiency detection optimization module, efficient utilization of energy is achieved, energy consumption and cost are reduced, and the energy efficiency of the UPS power supply is improved. And the industrial production influence analysis module comprehensively evaluates the negative influence degree on the industrial production based on the quality conditions of all the UPSs in the industrial production area, and reminds management personnel to take reasonable countermeasures in time when an industrial production high influence signal is generated, so that the safe and stable proceeding of subsequent industrial production is ensured.

The present invention discloses a camera heating and defogger device, and relates to the technical field of camera equipment. The present invention comprises a shell and a mounting frame, wherein the mounting frame is limited and hinged at the bottom of the shell, the front side of the shell is limited and fixedly connected with a sealing ring 1, the outer side of the sealing ring 1 inside the front side of the shell is slidably connected with a push rod, a spring is fixedly connected between the rear end of the push rod and the inner wall of the shell, and there are four groups of push rods and springs, which are evenly distributed up and down and left and right inside the front side of the shell, and an electric shock clip is fixedly installed above the sealing ring 1 on the front side of the shell. The present invention can quickly heat and defog the light-transmitting glass under sealed conditions to ensure the normal use of the camera, and stop heating after the sealing is damaged, avoiding the situation that water vapor enters and then heats up, which will aggravate the damage of internal components, and water vapor will accumulate water marks on the inside of the light-transmitting glass, which cannot be effectively cleaned, and is convenient for manufacturing and operation in a vacuum environment.

The invention discloses a photovoltaic module real-time health state monitoring system, which relates to the technical field of health monitoring and comprises a photovoltaic module information acquisition module, a battery piece hot spot analysis module, a battery piece history analysis module, a bypass diode analysis module, a photovoltaic module maintenance processing module and a local database, according to related data of the photovoltaic module, the battery piece area with the hot spot problem in the photovoltaic module is screened, the bypass diode, needing to be maintained, of the photovoltaic module is detected, the battery piece area with the hot spot problem of the photovoltaic module is maintained in time, the output efficiency of the photovoltaic module is guaranteed, and meanwhile the maintenance efficiency of the photovoltaic module is improved. The occurrence rate of irreversible damage to a fault cell area of the photovoltaic module is also reduced, and the bypass diode is timely overhauled, so that the service life of the photovoltaic module is prolonged.

The invention relates to the technical field of electrical equipment state evaluation, and particularly discloses a thermal power plant electrical equipment state evaluation method and system, and the method comprises the steps: obtaining the vibration signals of electrical equipment, and carrying out the clustering and partitioning of the electrical equipment according to the vibration signals of the electrical equipment; acquiring historical fault data of the electrical equipment, and mining a strong association rule of the historical fault data based on an association rule algorithm; obtaining the current operation data of the electrical equipment, and determining the operation state parameters of the current electrical equipment according to the current operation data of the electrical equipment and the clustering subarea in which the electrical equipment is located in combination with the strong association rule of the historical fault data; and acquiring the environment temperature when the electrical equipment runs, correcting the running state parameters according to the environment temperature, and determining the evaluation grade of the electrical equipment according to the corrected running state parameters. According to the method, the operation state parameters are calculated after the electrical equipment is clustered, state evaluation is carried out on the electrical equipment in the thermal power plant, and the fault risk of the electrical equipment is accurately evaluated.

The utility model discloses a control system suitable for a siphon filter tank, and belongs to the technical field of siphon filter tanks. The siphon filter is arranged in a siphon filter body, the siphon filter body comprises filter cells, a filter material layer, a U-shaped sewage discharge siphon, a U-shaped water inlet siphon, a clean water channel and a drainage channel, the U-shaped sewage discharge siphon is connected with a sewage discharge siphon valve, and the U-shaped water inlet siphon is connected with a water inlet siphon valve; one end of the U-shaped blow-off siphon is communicated with the filter grid, and the other end is communicated with the drainage channel; the control system comprises a PLC (Programmable Logic Controller), a liquid level meter arranged at the upper part of the filter lattice, a vacuum pump connected with the U-shaped sewage draining siphon and a turbidity meter arranged at a liquid outlet of the filter material layer; the sewage draining siphon valve, the water inlet siphon valve, the liquid level meter, the vacuum pump and the turbidity meter are all connected with the PLC; liquid level control and backwashing control are realized in the operation process of the siphon filter tank, and automatic operation of the siphon filter tank is realized; meanwhile, the manual supervision load is reduced, the automation degree is improved, and the actual requirement is met.

The invention relates to the technical field of archive digital management, in particular to an archive digital processing method, which comprises the following steps of: 1, dividing responsibility attribution sources of digital archives; 2, analyzing historical maintenance information in each responsibility attribution source, and determining the retrieval frequency of a target file; step 3, analyzing the target file in the responsibility attribution source according to the retrieval frequency to obtain a tail end normal point and an abnormal initial point, determining an abnormal burst point based on the tail end normal point and the abnormal initial point, namely the accurate time when the digital file has a fault, and then determining an inertia fault time period of the responsibility attribution source according to the abnormal burst point; and 4, performing operation maintenance on the digital archive according to the inertia fault time period and the real-time time, thereby improving the accuracy of fault prediction, and facilitating timely maintenance on the digital archive.

The invention relates to the technical field of curtain wall safety management, in particular to a smart curtain wall management device based on SAAS multiple tenants and a management system thereof.The smart curtain wall management device comprises a management main body used for collecting and sending data, a guiding device used for guiding a recording device, a limiting device used for supporting the recording main body and a clamping main body used for installing the recording main body; the front side of the management main body is fixedly connected with an operation screen, the rear side of the management main body is fixedly connected with a control main body, and the management main body, the operation screen, a placement groove, a guide device, a limiting device, a recording device, a clamping main body, the control main body, a mounting plate, an antenna main body and a plug are arranged; when the curtain wall is damaged, the damaged curtain wall can be registered through the operation screen, or the damaged curtain wall is shot through the recording device, and then the shot image is sent to a current management server through the management main body and the control main body via the Internet to be registered, so that the curtain wall can be conveniently and timely maintained.

The invention, which relates to the technical field of the motor, discloses a small-space modularized motor deceleration assembly comprising a cavity shell, an insertion shell, two deceleration shells, a driving shell and a transverse offset sensing mechanism. Wherein the transverse deviation sensing mechanism comprises a concave block, a supporting column, a sensing sleeve strip, a friction roller, a supporting shaft, a shaft sleeve and a reinforcing block, the other side of the sensing sleeve strip is connected with a connecting roller in a rolling mode, and the inner wall of the connecting roller is fixedly connected with a linkage shaft; a longitudinal offset sensing mechanism is arranged on one side of the reinforcing block; a speed reduction deviation sensing assembly is arranged in the speed reduction shell. According to the invention, through the transverse offset sensing mechanism, maintenance can be carried out in time and normal use can be rapidly recovered, so that self-inspection maintenance of the modular motor speed reduction assembly is more timely, and the problems that use loosening of the modular motor speed reduction assembly is difficult to know in time and maintenance timeliness of the modular motor speed reduction assembly is poor are solved.

The invention relates to an air conditioner control method and device based on health degree evaluation, an air conditioner and a medium. The method comprises the following steps: performing correlation analysis on each device of each water loop in a system to obtain a system layer weight coefficient and a device layer weight coefficient of each device; performing equipment health degree evaluation according to the performance index parameter, the operation state parameter and the equipment layer weight coefficient of each equipment in each water loop to obtain an equipment health degree evaluation value of each equipment; performing health degree evaluation on each water loop based on the equipment health degree evaluation value of each equipment in each water loop and the system layer weight coefficient to obtain a water loop health degree evaluation value of each water loop; and updating the operation time sequence of each water loop based on the water loop health degree evaluation value of each water loop. According to the method, the air conditioner operation system is subjected to accurate dynamic evaluation of the health degree, equipment maintenance and real-time updating of the air conditioner system operation strategy can be guided in time, and the health degree evaluation accuracy and the operation control timeliness of the air conditioner system are improved.

The invention discloses an elevator fault classification method and system, and relates to the field of fault data classification. Elevator faults are classified from the single aspect of electrical faults, mechanical faults and operation faults; the method comprises the following steps: collecting state parameter data of multiple groups of historical mechanical components and electrical components of a tested elevator, clustering the state parameter data, and endowing each type obtained by clustering with a grade; a basis is provided for subsequent determination of the fault levels corresponding to the state parameter data of the mechanical assembly and the electrical assembly of the to-be-classified elevator, and then the fault category of the to-be-classified elevator is judged; the state parameter data and the operation parameter data of the mechanical components and the electrical components of the to-be-classified elevator in the future are predicted, then whether the to-be-classified elevator breaks down or not at the future moment is obtained, and then measures can be taken in time for maintenance.

The utility model relates to the technical field of wind power generation, in particular to a wind driven generator gearbox temperature control valve monitoring device which comprises a filter and a base, the bottom of the filter is fixedly connected with the base, and a temperature control valve is installed in the base. The front side of the base is fixedly connected with a monitoring device; the monitoring device comprises a fixing frame and a motor, a sealing plate is slidably connected to the interior of the fixing frame, guide sliding grooves are formed in the two sides of the face, facing the base, of the sealing plate, and the sealing plate is slidably connected with the guide plate through the guide sliding grooves; the motor is started to drive the threaded shaft to rotate, the threaded shaft drives the threaded sleeve to move, the threaded sleeve drives the sealing plate on the upper portion to slide out of the interior of the fixing frame, the sealing plate is tightly attached to the front side of the base, once the oil leakage phenomenon occurs, oil flows into the oil storage tank on the lower portion through the flow guide sliding groove, and the oil sensor monitors that oil exists; the alarm gives an alarm, which is helpful for workers to maintain in time.

The utility model discloses a defect detection device based on machine vision, which relates to the technical field of pipeline detection, and comprises a bottom plate, driving wheels are mounted on the periphery of the outer wall of the bottom of the bottom plate, the driving wheels are universal wheels, a driving part is mounted on the outer wall of the bottom of the bottom plate, the driving part is connected with the driving wheels through wires, and the driving wheels are connected with the bottom of the bottom plate. A supporting block is welded to one end of the outer wall of the top of the bottom plate, and a control assembly is rotationally mounted at the top of the supporting block. According to the pipeline damage detection device, the light range finder emits light and moves along with the device, when the pipeline is damaged, the length of the light corresponding to the position is different from other lengths, at the moment, the prompting lamp corresponding to the light range finder flickers to give out a prompt to remind detection personnel that the position is damaged or has defects, and compared with naked-eye observation of the detection personnel, the detection efficiency is greatly improved. Light detection can detect tiny defects of the pipeline, so that the pipeline is maintained in time, the defect part can be accurately positioned, and detection omission is prevented.

The utility model provides an injection molding machine convenient to overhaul, and relates to the technical field of injection molding machine maintenance, the injection molding machine convenient to overhaul comprises a case, the top end of the case is provided with an injection molding assembly, the outer side of the case is fixedly connected with a mounting block, the top end of the mounting block is provided with an overhaul box, and the top end of the overhaul box is fixedly connected with a mounting mechanism; and one side of the case is movably connected with an access door through a rotating shaft. Through the arrangement of the buckle mechanism, when the injection molding machine needs to be overhauled, a trapezoidal block is moved leftwards and drives a roller to slide on the surface of the trapezoidal block, so that the roller drives a moving strip to lift on the case, and meanwhile, the moving strip drives a jacking block to lift; and at the moment, a spring I and a spring II are compressed, so that the clamping block is not tightly attached to the access door, the access door is opened, and a worker can conveniently open the access door and maintain the injection molding machine in time.

The invention relates to the field of sensing control systems, in particular to a sensing system based on an on-duty mode and a use method thereof, and the system comprises at least two sensing units, a multifunctional circuit board, an embedded control module, a parameter monitoring module and an automatic switching module; when the sensing unit reaches a preset switching condition, the automatic switching module automatically switches the current sensing unit to another sensing unit to work so as to realize on-duty operation; the switching condition comprises that the working time of the current sensing unit reaches an effective working time threshold value or the running parameter of the current sensing unit drifts and exceeds a preset range. Through cooperative work of the preheating and self-checking module, the pause switching mechanism and the on-duty relay function, the system can flexibly adapt to different environments and detection requirements. The preheating ensures that the sensing unit is started in the optimal state, the pause mechanism reduces switching interference, the on-duty function improves the detection reliability, and the stability and the multi-scene applicability of the system are enhanced.