685results about How to "Guaranteed operational reliability" patented technology

The invention discloses a lifting-adjustable processing device with a movable processing head. The processing device is used for machining a workpiece (200), and comprises a rack (9), a movable frame (8) and a connecting part (89) which is fixed below the movable frame (8) and is used for connecting the processing head (890), wherein a screw (6) which is driven by a motor (2), is movably mounted on the rack (9), and extends to the left and right penetrates through the movable frame (8) through extension; the movable frame (8) is supported on a rail cross beam (5) which is fixedly connected with the rack (9) and extends to the left and right in a sliding manner; a left screw block group and a right thread block group are arranged in the movable frame (8); and the left thread block group comprises a left group front thread block (32) and a left group back thread block (31).

The invention provides a hybrid type rapid direct current breaker, comprising: a main flow branch, a current transferring branch and an energy consumption branch. All are connected in parallel. The main flow branch comprises a rapid mechanical switch unit and a main branch sub-module unit. The two units are in series connection. The current transferring branch comprises valve module units in successive cascade connection with each valve module unit comprising a plurality of semiconductor modules in series connection. The energy consumption branch comprises energy consumption components in successive cascade connection. According to the invention, the design of the breaker structure is such a design featuring the electrical topology corresponding to modularization. This means that for the application requirement of different voltage grades, the structure can be expanded to do so. As the breaker adopts a single platform supporting structure, all functional units can be integrated onto the platform, therefore, making the equipment highly integrated, small in size, and strongly resistant to earthquakes. Highly reliable and flexible in structure, better electric compatibility can be achieved. With the breaker, it is possible to rapidly cut off the current in fault when the direct current system meets a fault.

The invention provides a self-learning method and a self-learning device of a hybrid electric vehicle and a clutch of the hybrid electric vehicle, which can automatically finish self-learning of a key position of the clutch so as to simplify an adjusting process. The self-learning method comprises the following steps: judging whether a self-learning condition is met or not; if so, controlling the clutch to be separated and combined; recording positions where the clutch is completely separated, is completely combined and starts to slide and wear, and taking the positions as a complete separation point, a complete combination point and a sliding and wearing point. The self-learning device comprises a position sensor which is in signal connection with a controller, wherein the controller is provided with a judging module for judging whether the self-learning condition is met or not, and controlling the separation and combination of the clutch when the self-learning condition is met, so that the self-learning of the complete separation point, the complete combination point and the sliding and wearing point are realized; the position sensor is used for detecting the position of the clutch and transmitting position information to the controller; the controller is provided with a storage module for storing the position information.

The invention discloses a magnesium alloy plate rolling parameter monitoring and fault diagnosing system and method. The system is composed of a work roll monitoring module, a main motor monitoring module, a vibration and noise monitoring module, a rolling pressure monitoring module, a rolling temperature monitoring module, a roll gap interval monitoring module, a piece rolling speed monitoring module, a work roll way revolving speed monitoring module, a data processing module and a rolling mill, technological parameters such as rolling force and the rolling temperature and equipment parameters such as the motor current are monitored at the same time, the operating state of equipment is provided according to the parameters, and temperature prediction and fault diagnosis are conducted. Operating data of the equipment are recorded, a temperature monitoring model and a fault diagnosis model are completed, and an intelligent monitoring and diagnosing system with self-learning capacity is set up. A basis is provided for the design of the magnesium alloy rolling equipment, and the magnesium alloy plate rolling parameter monitoring and fault diagnosing system and method has guiding significance for the design of rolling equipment. The magnesium alloy plate rolling parameter monitoring and fault diagnosing system and method is strong in industrial applicability and has very good application prospects.

The invention provides a modularized box type charging and battery swapping station used for replacing a battery of an electric car. The charging and battery swapping station comprises a central monitoring room 1, a battery swapping robot 2 and a charging and battery swapping box 3, wherein the central monitoring room 1 is used for monitoring the charging and battery swapping station, the battery swapping robot 2 is located between the charging and battery swapping circuit 3 and the electric cars provided with batteries to be replaced, and the battery between the electric cars provided with batteries to be replaced can be replaced; and a battery storage rack 301, a battery charger cabinet 302, a monitoring cabinet 303, a distribution cabinet 304, a temperature control system 305 and an access path 306 are arranged in the charging and battery swapping box 3. The modularized box type charging and battery swapping station, provided by the invention, has the advantages of strong adaptability, flexible configuration and expansibility, small floor space, high working efficiency, short construction period, benefit for large-scale popularization and construction, high automation degree, smaller device maintenance amount, simple structure and low fault rate.

An initiator assembly capable of guaranteeing the assured operation of a gas generator by assuring the structure of connection between a metal collar and an electric initiator to prevent the entry of moisture into the gas generator, comprising the electric initiator and the metal collar surrounding at least a part of the electric initiator formed integrally with each other with resin, wherein at least either of an annular projected part and a tubular projected part provided in a direction that surrounds the electric initiator is formed on the metal collar, and the projected part is covered with the resin.

The invention discloses an abrasive belt polishing finisher in the field of mechanical technology, which addresses inconvenient operation of the existing polishing finishers. The abrasive belt polishing finisher includes a motor and a connection support. The central section of the connection support is fixedly connected with the output shaft of the motor. Several self-rotable connection support finishing wheels are provided around the connection support. The curve surface of the rim of each of the support finishing wheels has a different curvature. Each connection support finishing wheel is distributed on the same circle centered on the output shaft of the motor. The connection support is driven by the motor into rotation to press and position one of the connection support finishing wheels against the back of the abrasive belt in the polishing finisher. The abrasive belt polishing finisher could satisfy continuous polishing treatment for different curved surfaces.

The invention discloses a system and method for evaluating reliability of a machine tool. The system comprises a terminal information processing module, a data acquisition module, a vibration monitoring module, a microscopic optical module and an image processing module. Based on the self-learning and self-adaptive functions of an artificial neural network, historical data are used as a fitting sample to monitor performance parameter indexes affecting the reliability of the tool during the machining process in real time, such as vibration signals, current signals, sound wave signals, the wearing capacity and the processing roughness. By monitoring the running state of the tool in real time, feeding back real-time reliability information of the tool, and estimating the residual service lifeof the tool, a processing enterprise can make preventive measures in advance, the loss is reduced, and the overall processing efficiency is improved.

A power supply apparatus with stable power supply and a moving roller is disclosed. The power supply apparatus comprises a main body (9) and a plug (6) which is inserted into a jack of the main body (9). A locking and unlocking motor (91) is arranged in the main body (9). A rotor of the locking and unlocking motor (91) is connected with a screw (95) in a power connection mode. The screw (95) forms screw-thread fit with a screw hole of a movable component (8) in the main body (9). A stator of the locking and unlocking motor (91) is fixedly connected to a power supply guide rod (74) which forms sliding fit with and slidingly passes through a slide hole arranged in the movable component (8). The power supply guide rod (74) is used for jointing a power supply hole (61) in the plug (6) which is inserted into the jack of the main body (9) so as to carry out power supply.

The invention relates to a preparation and evaluation method of transformer characteristic gas standard oil samples. By preparation of standard gases with different concentrations, preparation of a blank oil sample, thorough mixing of the standard gases with the blank oil sample and other steps, the preparation method realizes preparation of the transformer characteristic gas standard oil samples. The evaluation method utilizes the standard oil samples with different concentrations prepared by the method, and evaluates the gas chromatography performance including the minimum detection concentration, data repeatability and accuracy, and evaluates a gas chromatograph, thus realizing comprehensive evaluation of the transformer characteristic gas standard oil samples. The method provided by the invention can prepare standard oil samples with set characteristic gas concentrations at one time, and also can improve the quality of the gas chromatograph so as to ensure the device operation reliability and data accuracy.

The embodiment of the invention relates to a high-frequency induction wind tunnel flow field non-equilibrium diagnosis system. The system comprises a test device, a first diagnosis unit and a second diagnosis unit. A collimator of the first diagnosis unit emits a laser signal, and the laser signal passes through a flow field of the test device and then is transmitted by the test device, and the transmitted laser signal is received by a receiver of the first diagnosis unit so as to obtain a translational temperature in the flow field. The second diagnosis unit collects radiation luminescence inthe flow field to obtain an electronic temperature in the flow field in the test device. The system also comprises a signal trigger unit for controlling the first diagnosis unit and the second diagnosis unit. Therefore, synchronous measurement of the electronic temperature and the translational temperature in a high-frequency induction plasma heater and the high-temperature flow field after passing through a spray pipe can be realized, and quantitative evaluation of a non-equilibrium characteristic of a high-frequency induction plasma heating wind tunnel flow field can be further realized.

This invention provides a door lock device for the vehicle, which ensures the reliability of the action, reduces the numbers of the parts, and simples the assembly operation. One end of the metal hold part has a hold section holding the external cable, the other end of which has a bended section. There arranged a protruding section between the two ends of the hold part, which acts as a pivot whenan installation of resin case is going on. The case comprises: a locking hole locked with the protruding section; a locking groove, which rotates hold part toward one direction (clockwise : as shown in figure 4) pivoted the locking position where the protruding section is locked with the locking holes. Said locking groove is locked with the bended section, the location relationship among the holdsection, the bended section and the protruding section of the hold part is as followed: when the hold part operates the vehicle door handle unit and induces reverse force from the external cable, said reverse force acts on the direction that the bended section locks with the locking groove.

Embodiments of the invention provide a supplier financial risk prediction method and device. The method comprises the steps of obtaining financial risk index data of a target supplier; inputting the financial risk index data into a preset convolutional neural network model, and taking the output of the convolutional neural network model as a financial risk prediction result corresponding to the target supplier; and outputting a financial risk prediction result corresponding to the target supplier. According to the invention, the supplier financial risk can be predicted through the deep learning convolutional neural network with the self-learning capability, and the accuracy of supplier financial risk prediction can be effectively improved, so that the potential risk of the supplier can beeffectively avoided, and the operation reliability of the enterprise can be ensured.

The invention provides a method for determining the peaking demand of a large-scale wind power integration system. The method comprises the following steps: generating a year-round wind power output time sequence; generating a year-round load time sequence; and building a conventional generator set status transfer sequence considering planned generator shutdown, determining the peaking demand of a large-scale wind power integration system, drawing a peaking demand curve, and doing statistics of peaking demand indexes. The method presented by the invention is simple, practical and highly operable. The problem that there is a need for generator set combination in the traditional method of status transfer sampling only considering forced generator shutdown is avoided. An accurate and effective analysis method and evaluation indexes are provided for solving the problem that the peaking capacity of a large-scale wind power integration system is inadequate. The peaking demand of a wind power integration system can be reflected directly. The operation stability and reliability of a large-scale wind power integration system are guaranteed.

The invention relates to an OPGW icing thickness measuring method and a measuring device thereof. The method comprises the following steps: (1) monitoring icing condition of OPGW ground lines in a real-time manner; (2) when the thickness of the ice on the OPGW ground lines is beyond the alert thickness, de-icing alert information is sent out; (3) establishing a de-icing circuit according to the de-icing alert information; (4) carrying out de-icing operation according to the de-icing circuit; (5) monitoring and collecting de-icing temperature and progress of the OPGW ground lines; and (6) when the icing fall-off degree of the OPGW ground lines meets the requirements, de-icing operation is stopped. The technical proposal of the method and the device provided by the invention enables icing continuous measurement of the OPGW.