99results about How to "Reduce downtime loss" patented technology

The invention discloses a recheck platform which is used for rechecking defects in quality inspection of prints and comprises a rack, a working table, an unwinding wheel, a winding wheel, a position detection device, a power device and a microcontroller, wherein, the unwinding wheel and the winding wheel are arranged on the rack; the unwinding wheel transmits the prints to the winding wheel to rewind the prints; the winding wheel is connected with a power device; the position detection device detects the position to which the prints are transmitted and is connected with the microcontroller; the microcontroller stores the position information of defects of the prints and compares with the information of the position when the prints are transmitted to control the power device. The recheck platform can lighten the burden of visual sense detection device, thus the visual sense detection device is only responsible for detection, reconstructs the detection process, separates the process links such as time consuming stopping rejection and label supplementing and the like from the detection process, lowers cost and improves the efficiency of quality detection. The invention also relates to a system adopting the platform to detect the quality of prints.

The invention relates to a self-adaptive anomaly detection method for a rolling bearing of a wind generator set under variable working conditions. The self-adaptive anomaly detection method comprises the steps that firstly, when the wind generator set runs normally, vibration data of the rolling bearing at different rotating speeds and different powers are collected; secondly, sensitive vibration characteristic parameters of the rolling bearing are selected; thirdly, a health model of the rolling bearing based on a Shepard curved surface is established; fourthly, the degree of deviation of the abnormal state of the rolling bearing is calculated, and self-adaptive anomaly detection of the rolling bearing is realized. According to the self-adaptive anomaly detection method, the influences of active power and rotating speed on the vibration characteristic of the rolling bearing are taken into comprehensive consideration, the evolution process of the running state of the rolling bearing of the wind generator set over time can be traced in real time, and self-adaptive detection of the abnormal state of the rolling bearing under different working conditions of the wind generator set is realized. The self-adaptive anomaly detection method can be widely applied to the field of abnormal state detection of the wind generator set.

The invention provides a fan gear box fault diagnosis model establishing method used for establishing a fan gear box fault diagnosis model. The method comprises a step of obtaining a vibration signal of a fan gear box and then carrying out smoothing and denoising processing on the vibration signal, a step of decomposing the processed vibration signal and extracting the characteristic vector of the vibration signal, a step of dividing the characteristic vector of the vibration signal into a training data set and a testing data set, and a step of using a Drosophila algorithm to optimize a parameter of a radial basis function (RBF) neural network model, inputting the characteristic vector of the vibration signal in the training data set to obtain the optimal value of the parameter, generating the fan gear box fault diagnosis model based on a radial basis function neural network and carrying out test. In the scheme, the optimization algorithm is introduced for the characteristic of the RBF neural network, through introducing the artificial intelligence analysis technology, the extracted characteristic value is processed further, thus the efficiency of fault diagnosis is improved, and stop losses caused by faults are reduced.

The invention discloses an engineering machine intelligent fault diagnosis system and method and an engineering machine. The engineering machine intelligent fault diagnosis system comprises a vehicle-mounted main controller and a fault diagnosis device, wherein the vehicle-mounted main controller is used for collecting and outputting work state parameters of the engineering machine, and the fault diagnosis device is used for receiving the work state parameters and carrying out fault diagnosis on the engineering machine according to the work state parameters. By means of the technical scheme, the vehicle-mounted main controller inside a cab in the engineering machine can be directly used for collecting the work state parameters for the fault diagnosis, a single-chip microcomputer or other control devices are not required to be additionally arranged for collection, the cost is low, the development period is short, the fault diagnosis can be effectively carried out on the engineering machine, the maintenance level is improved, and the machine-stop losses are reduced.

The invention discloses a construction method for sliding and replacing a whole body of a jacking and revolving bearing of a revolved body of a stacker-reclaimer, and belongs to the technical field of replacing components of the stacker-reclaimer in iron-smelting raw material yards. The construction method comprises the following steps: before machine halt construction, firstly manufacturing jack supporting beams, safe piles and a stirrup, mounting the jack supporting beams, and mounting the stirrup; selecting hydraulic jacks, and erecting the selected hydraulic jacks; sealing the whole body of the revolved body of the stacker-reclaimer, manufacturing a sliding device of the revolving bearing, mounting the manufactured sliding device, and dismounting and removing components which have influence on the horizontal sliding of the revolving bearing; sliding the whole body of the jacking and revolving bearing of the revolved body, replacing the slid whole body of the jacking and revolving bearing of the revolved body, and mounting the components which have influence on the horizontal sliding of the revolving bearing. The construction method has the advantages that the problems that a large-scale vehicle type crane needs to be used during replacing the revolving bearing of the stacker-reclaimer in the iron-smelting raw material yards, the construction time is long, the occupied site is large, the construction cost is high and influence on the production is great; the method is simple and easy to operate, and the construction cost is reduced; the construction site is reduced, the whole construction time of jacking and sliding is shortened, and influence on the production is reduced; double safety facilities of the sealed whole body and the safe piles are adopted, so that the safety guarantee is supplied.

The invention relates to a method for detecting output abnormity of a mixed-flow hydroelectric generating set. The method includes the steps that firstly, output data of the hydroelectric generating set are collected when output of the hydroelectric generating set is normal and the upper level and the lower level of a hydroelectric station are different and guide vane openings of a water turbine are different, and the output data serve as standard samples; secondly, based on the Shepard curved surface interpolation method, a standard hydroelectric generating set output model P = f(Hupper, Hlower and D) is established according to the standard samples; thirdly, real-time online data, obtained by detecting the set state in real time, of the guide vane openings, the upper level and the lower level are substituted into the standard hydroelectric generating set output model, the standard set output value p(i) in the current working condition is calculated, the current set output deviation Od(i) is obtained, and an alarm is given when the absolute value of the output deviation Od(i) is larger than a preset output deviation threshold. Standard set output values under different working conditions are established through historical sample data, online state evaluation can be effectively, truly and reliably conducted, and early warning of set output abnormity is achieved. The method can be widely applied to the field of detection of the operating state of the hydroelectric generating set.

The invention provides a carrier backflow device. The carrier backflow device comprises a first carrier sensing part, a transferring platform position sensor and a second carrier sensing part; the first carrier sensing part is used for detecting whether a carrier exists on a transferring platform or not, the transferring platform position sensor is used for detecting whether a transferring track is located at the position where the transferring track is butted joint with a testing track or not, and the second carrier sensing part is used for detecting whether the carrier exists on the transferring platform or not when the transferring track is moved to the place where the transferring track is butted joint with a backflow track; when the first carrier sensing part does not sense the carrier and the transferring platform position sensor senses the transferring track, the carrier is conveyed from a testing platform to the transferring platform; and when the first carrier sensing part does not sense the carrier and after the second carrier sensing part senses the carrier and when the second carrier sensing part does not sense the carrier within the preset delay time, the transferringplatform is conveyed to the position where the transferring platform is butted joint with the testing track. According to the carrier backflow device, collision between the transferring track and a board or falling of the board can be effectively avoided, the situation that the carrier is clamped, damaged and scraped is avoided, and the loss of stopping line is reduced.

The invention discloses a pulseless rotor pump (Q type). The pulseless rotor pump comprises a rotating shaft and a bearing connected with the rotating shaft, and is characterized in that the rotating shaft and the bearing are arranged in parallel, at least one spiral rotor is arranged on the rotating shaft, and the spiral rotors are uniformly distributed on the rotating shaft. The pulseless rotor pump disclosed by the invention can be quickly repaired on the site, and wearing parts at the part of a pump chamber, including the rotors, a wear-resistant plate and machinery can be sealed by axially moving an end cover easily, so as to realize replacement on the site under the situation of not detaching pump inlet and outlet pipe fittings and a pump body.

The invention discloses a return-to-zero system and a return-to-zero method for an electric discharge machining machine tool. The system comprises an industrial personal computer, a motor driver, a motion control card, a motion module, a rotary coder, a photo-electronic switch and a motor, wherein the industrial personal computer is used for controlling the motion control card; the motion control card is connected with the motor driver, the rotary coder and the photo-electric switch respectively; the motor driver is used for controlling a shaft to move by virtue of the motor and driving the motion module; the rotary coder is used for feeding back the motion information of the shaft to the motion control card in real time; and the photo-electric switch is used for receiving signals and feeding back the signals to the motion control card. By adopting the method, high consistency of a zero position is realized; the consistency of a coordinate system of the machine tool which is repeatedly powered and powered off is guaranteed; the repeat accuracy is guaranteed; collision caused by machining or program running is prevented; damages and scrapping of work pieces and precision reduction of the machine tool are prevented, so losses caused by shutdown of the machine tool are reduced, the machine debugging cost is lowered, the cost for replacing shaft accessories and dismounting the shaft is lowered, the work efficiency is improved, the maintenance cost is lowered, and durable machining precision of the machine tool is guaranteed.

The invention relates to a device for displaying the running state of equipment. The device comprises a field data acquisition hardware system, a microprocessor and an LED display screen, wherein the field data acquisition hardware system sends state information of the equipment to the LED display screen through the microprocessor; square LED plane combined color lump lamps are distributed on the LED display screen in a matrix form; the single LED plane combined color lump lamp is divided into three color lump areas, each color lump area can display different colors, and the three color lump areas can sparkle with different frequencies; and the combined color lump lamps can perform dynamic variation according to the state of the equipment, so that one display device can display multiple kinds of state information of multiple equipment, the information transfer efficiency is improved, and remote and all workshop-level overall state monitoring is realized.

The invention relates to a dual-motor elevator traction system, which comprises two traction machines which are arranged on the top and the bottom of a well, an upper traction wheel, a lower traction wheel, a hoist rope, a car, a counterpoise, a guide wheel A, a diversion sheave A, a diversion sheave B, a car rope hitch plate and a detection control system for detecting the operation of the elevator, wherein the two traction machines are connected with the counterpoise by the hoist rope and the guide wheel A; the other end of the counterpoise is connected with the lower traction wheel; the counterpoise is arranged on the rear side of the car; one end above the car is fixed on the car hitch plate, and connected with the upper traction wheel by the diversion sheave A and the diversion sheave B, and the lower end of the car is connected with the lower traction wheel to integrally form a ring-shaped structure. The dual-motor elevator traction structure disclosed by the invention improves the reliability of elevator operation.

The invention discloses a collision-preventing protection system and a collision-preventing protection method for an electric spark machine tool. The collision-preventing protection system for the electric spark machine tool comprises a motor driver, a motion control card, a pulse power supply, a voltage meter and an industrial personal computer, wherein the industrial personal computer controls the motion control card; the motion control card is connected with the motor driver the pulse power supply respectively; the motor driver controls a main shaft to move up and down through a motor; the pulse power supply is connected with the positive electrode of an electrode wire and the negative electrode of a workpiece respectively; and the pulse power supply is connected with the external voltage meter and is used for observing the voltage condition. The collision-preventing protection system for the electric spark machine tool is a real-time monitoring system, saves shaft accessory exchange cost, shaft assembling and disassembling cost and maintenance cost, and guarantees the durable processing precision of a machine tool.

he invention relates to a feature recognition method for a umbilical cable leakage fault, characterized by comprising the following steps of: 1) acquiring the state feature signal of an offshore platform underwater production system according to the hydraulic pressure of a umbilical cable and the state feature signal of a chemical agent pipeline monitored by a sensor during the operation of the umbilical cable; 2) according to the state feature signal of the offshore platform underwater production system, obtaining the operating state features of the umbilical cable; 3) based on a umbilical cable leakage simulation model, constructing a umbilical cable leakage fault sample feature database and using the same as a training sample; 4) studying and training the training sample to construct a data model of the training sample; 5) diagnosing the operating state features of the umbilical cable according to the data model of the training sample to obtain a diagnostic network describing a mapping relationship between feature variables and the leakage fault so as to realize the feature recognition of the umbilical cable leakage fault. The feature recognition method can be widely applied in the field of umbilical cable leakage fault diagnosis.

The invention provides in-vitro diagnosis equipment and a stirring paddle anti-collision device of the in-vitro diagnosis equipment. The equipment comprises the stirring paddle anti-collision device, a driving device and a control system, wherein the driving device and the control system are electrically connected with the stirring paddle anti-collision device. The stirring paddle anti-collision device comprises a motor, a stirring paddle, a motor mounting assembly and an anti-collision sensing assembly, wherein the motor is arranged on the motor mounting assembly in a sliding mode, the anti-collision sensing assembly is assembled on the motor mounting assembly, the motor is provided with a first end face abutting against the mounting assembly and a second end face abutting against the anti-collision sensing assembly, and a clamping part for connecting a motor shaft and the stirring paddle is arranged between the motor shaft and the stirring paddle. When the stirring paddle anti-collision device is prevented from descending, rotating and swinging along with the driving device, the stirring paddle pushes the motor to rebound along the mounting assembly and trigger the anti-collision sensing assembly to output a signal to the control system, the equipment stops moving or reversely moves back to a safe position according to program setting, the stirring paddle is prevented from being damaged, and then the shutdown loss and the instrument maintenance cost are reduced.

The invention discloses a fault moment prediction method for vibration monitoring of a reactor shaft seal pump. The fault moment prediction method for vibration monitoring of the reactor shaft seal pump is characterized by comprising the following steps of: 1, obtaining monitoring data of the reactor shaft seal pump, wherein the monitoring data are vibration acceleration a (t), vibration velocity v (t) and vibration displacement s (t), and t is less than or equal to Tnow and greater than or equal to TInit; 2, determining a first-level acceleration weight coefficient Qa, a first-level speed weight coefficient Qv and a first-level displacement weight coefficient Qd; 3, carrying out fusion processing to obtain fused vibration A (t); 4, carrying out mathematical fitting processing on the vibration intensity V (t) to obtain a fitting curve; 5, screening out an effective curve segment used for predicting a fault moment from the fitting curve; 6, performing high-order nonlinear function fitting processing on the effective curve segment to obtain a corresponding prediction curve; and 7, calculating an intersection point of the prediction curve and a vibration intensity threshold line, and marking a moment corresponding to the intersection point as a prediction fault moment.

The invention discloses a large-scale heat-resistant steel heating furnace door manual gas welding repair device. A furnace door is of a cuboid hollow structure and comprises a furnace door front panel and a furnace door rear panel. A plurality of fixed rods are uniformly arranged inside the furnace door front panel and the furnace door rear panel. The large-scale heat-resistant steel heating furnace door manual gas welding repair device further comprises a rectangular fixed bottom steel plate, a pressure test water inlet pipe and a pressure test water outlet pipe. A plurality of sets of vertical H-steel supporting frames are arranged on the fixed bottom steel plate in bilateral symmetry. A transverse H-steel supporting frame with the height less than the vertical H-steel supporting framesis arranged between each set of the vertical H-steel supporting frames. The pressure test water inlet pipe and the pressure test water outlet pipe are arranged on the two sides of the interior of thefurnace door correspondingly. The pipe heads of one ends of the pressure test water inlet pipe and the pressure test water outlet pipe face upwards. The large-scale heat-resistant steel heating furnace door manual gas welding repair device is safe and easy to operate, stable in welding quality, low in investment cost and high in working efficiency, meets the actual demands on site, greatly reduces the maintenance cost, reduces shutdown loss during the process of heating an annular furnace and provides a guarantee for reasonable assembly production of various specifications of wheels and ringparts and heating steel ingots.

The invention relates to a medicinal liquid delivery system for a wet towel dispenser. The system comprises a medicinal liquid proportioning device, at least two wet towel dispenser medicinal liquid storage devices and a PLC, wherein the wet towel dispenser medicinal liquid storage devices are connected with the medicinal liquid proportioning device; the PLC is connected with the medicinal liquid proportioning device and the wet towel dispenser medicinal liquid storage devices respectively; each wet towel dispenser medicinal liquid storage device comprises a medicinal liquid barrel, a stirring component, an automatic water inlet valve, a liquid level meter and an audible and visual alarm; each medicinal liquid barrel is connected with the medicinal liquid proportioning device by virtue of the respective automatic water inlet valve; the stirring components, the liquid level meters and the audible and visual alarms are arranged on the medicinal liquid barrels, and are respectively connected with the PLC; the liquid level liquid is used for collecting the liquid level state of medicinal liquid in real time; the PLC is used for opening/closing the automatic water inlet valves according to the liquid level state, and controlling the audible and visual alarms according to the liquid level state. Compared with the prior art, the medicinal liquid delivery system has the advantages of improving the production efficiency, reducing labor intensity, reducing medicinal liquid waste and the like.