87results about How to "Realize self-diagnosis" patented technology

The invention relates to crack self-repairing concrete using aerobic basophilic microorganisms and a preparation method thereof. The concrete contains expanded perlite loading an aerobic basophilic microorganism repair agent, cement, pebbles, sand, silica fume, water, calcium lactate and water reducer. The crack self-repairing concrete has the crack self-repairing function and has heat-preservation and heat-insulation functions, the aerobic basophilic microorganisms serve as a crack repairing agent, calcium lactate serves as nutritional matter for microorganism metabolism, and expanded perlite serves as a carrier of the crack repairing agent. When concrete cracks, water and air enters the cracks so that resting microorganisms can restore the metabolism function, calcium lactate is converted into calcium carbonate precipitate, and accordingly the aims of automatically diagnosing and repairing the concrete cracks, preventing expansion of the cracks and improving concrete impermeability are achieved. The microorganism crack self-repairing concrete serves as a concrete material integrating the functions of crack self-diagnosis and self-repairing, lightweight, heat preservation and heat insulation, and has large research value and application potential.

The invention discloses a control method of an intelligent fault diagnosis system of a pneumatic regulating valve, comprising the steps of establishing an off-line fault diagnosis model and an on-linefault diagnosis; By establishing off-line fault diagnosis model and on-line fault diagnosis steps, not only the fault self-diagnosis of pneumatic regulating valve is realized, but also the accuracy of fault diagnosis is improved, especially the missed diagnosis rate is reduced, and the fault operation of valve is avoided. But also has good generality, and can complete fault diagnosis without complicated expert experience and knowledge reserve; Common operators can grasp, improve the pneumatic valve fault diagnosis automation and intelligence.

The invention relates to an electronic throttle controller of an electronically controlled engine. The electronic throttle controller is characterized by comprising a fault diagnosis module, an engine condition identification module and a servo control module, wherein the fault diagnosis module can be used for counting according to output voltages of two throttle position sensors, output voltages of two pedal position sensors, working voltages of the sensors, a working current of a throttle motor, a called count value of the engine condition identification module and a called count value of the servo control module, which are collected, so as to carry out sensor diagnosis, actuator diagnosis and algorithmic dispatching abnormity diagnosis; the engine condition identification module is used for identifying and calculating the current operation condition of the engine according to the opening, the water temperature and the rotating speed of engine pedals, air conditioner on-off information and power-on information, which are collected by the sensors; the servo control module is used for analyzing and calculating the opening of a destination throttle according to fault codes in the fault diagnosis module and the engine operation condition in the engine condition identification module as well as the opening, the water temperature, the rotating speed and the air conditioner on-off information, which are collected by the sensors, and finally the servo control module calculates and obtains a PWM control signal to output.

The invention discloses a self-diagnosis and self-recovery sub-system and method of a network management system. The self-diagnosis and self-recovery sub-system comprises a self-detection guide module and a real-time monitor module. The self-detection guide module is used for scanning and detecting the current network management system, repairing the detected error in the network management system, and guiding into the network management system when the scanning and detecting operation finishes; and the real-time monitor module is used for real-time monitoring each operation state of the current network management system and immediately recovering the normal operation state of the network management system when an abnormity occurs. The method includes (a) scanning and detecting the current network management system and automatically repairing error if an error is detected; (b) entering the main program of the network management system when self-detection finishes; and (c) real-time monitoring each operation state of the network management system, and immediately recovering the normal operation state of the network management system if an abnormity occurs. The invention achieves the self-diagnosis and self-recovery function of the network management system and can automatically repair the abnormity if the software of the network management system is abnormal, thereby enhancing the reliability and robustness of the system.

The invention discloses an accelerator pedal signal self diagnostic method which comprises the steps that S101, under the condition of zero opening degree of the accelerator pedal opening degree, when an accelerator pedal signal belongs to a first threshold range, the signal is judged as normal, and when the accelerator pedal signal does not belong to the first threshold range, the signal is judged as fault; or S102, under the condition of intermediate opening degree of the accelerator pedal opening degree, when the accelerator pedal signal corresponding to the engine speed belongs to a second threshold range, the signal is judged as normal, and when the accelerator pedal signal corresponding to the engine speed does not belong to the second threshold range, the signal is judged as fault; or S103, under the condition of total opening degree of the accelerator pedal opening degree, when the accelerator pedal signal belongs to a third threshold range, the signal is judged as normal, and when the accelerator pedal signal does not belong to the third threshold range, the signal is judged as fault. By means of the above execution mode, when working condition diagnosis is entered, the current accelerator pedal signal value is read and compared with a preset right value, so that detection and diagnosis of a wrong accelerator pedal signal are achieved.

The invention discloses a multichannel sulfur hexafluoride insulating electric equipment online monitoring device and method. Through setting a common SF6 purity detection room, a common gas return channel and three independent SO2 detection rooms, the online detection of SF6 insulating electric equipment decomposition products is realized, the detection correctness is ensured, the gas mixing among different equipment is avoided, the reliability of the system is improved, the cost is reduced and the reusability of the system; a recycle gas circuit design manner is adopted, the detected sample gas is sent back to the SF6 insulating electric equipment so that the gas loss and the pollution to the air are decreased. Moreover, through a pressure sensor in a sampling and detection gas circuit, the self-diagnosis of the state of an electromagnetic valve in the sampling and detection gas circuit can be realized according to the change of pressure value, so that the reliability of the multichannel sulfur hexafluoride insulating electric equipment online monitoring device is improved.

The invention provides a control method and device of a vehicle fuel system. The control method of the vehicle fuel system comprises any one or combination of multiple steps in the following three steps that before an engine is started, pre-detection operation is carried out; when the engine is started, start self-detection operation is carried out on the fuel system; and after a vehicle is started, running self-detection operation is carried out on the fuel system. According to the control method and device of the vehicle fuel system, at any one or multiple moments before the engine is started, when the engine is started and after the vehicle is started, the work state of the vehicle fuel system is monitored in real time, self diagnosis of the vehicle fuel system can be achieved, failuresof the vehicle fuel system can be found in time, and safety and reliability of the vehicle can be effectively guaranteed.

The invention relates to a multi-parameter joint diagnosis method for typical faults of an asynchronous motor. The method comprises the following steps of firstly, acquiring temperature, current waveform data, vibration speed data and current data of the asynchronous motor under a load during normal operation at intervals after a system is started and operates stably, acquiringdata of a time axisenvelope line according to the data to serve as judgment parameters for normal operation of the asynchronous motor, takingthe ratio of two groups of amplitude average values before and after online monitoring operation as a fault judgment parameter of the vibration signal,wherein the ratio of the maximum value of the current amplitude envelope data to the rated current value input by the motor isused as a judgment parameter of the current time domain fault, and the maximum value of the frequency band variation of the current data spectrum result and the current amplitude average value is weighted and averaged to be used as a fault diagnosis parameter under the motor current spectrum,and finally, continuously acquiring temperature, current waveform data, vibration speed data and current data of the asynchronous motor during operation, and realizing comprehensive evaluation of operation parameters, operation states and service life conditions.

The invention provides a method for measuring equivalent inductance of a coupling capacitance loop under lightning over-voltage and system thereof, wherein the method comprises the following steps of: obtaining an equivalent capacitance value and an equivalent resistance value of the coupling capacitance loop on a to-be-measured transmission line; obtaining a sampling value of response current onthe coupling capacitance loop, when an amplitude of the sampling value exceeds the predetermined value, calculating an oscillation period of the response current; and calculating the equivalent inductance of the coupling capacitance loop according to the equivalent capacitance value, equivalent resistance value and the oscillation period of the response current. The method and system for measuring equivalent inductance of the coupling capacitance loop under the lightning over-voltage provided by the invention can self-diagnose coupling capacitance stray parameters of a transforming plant withthe voltage level more than 110kV under the lightning over-voltage. The response current of the coupling capacitance loop is measured by mounting a Rogowski coil current measuring device; as the Rogowski coil current measuring device does not have direct electrical connection with the current loop of the measured transmission line, the Rogowski coil current measuring device is favorable to safe and reliable operation of the transforming plant.

The invention discloses a chronic disease intelligent traditional Chinese medicine diagnosis and medicine recommendation system based on a deep neural network. The system comprises a traditional Chinese medicine disease reading module which is used for reading and obtaining the symptom information of a patient sample. According to the invention, by constructing a database module for storing symptom information of a patient sample and obtained medicine information; a traditional Chinese medicine symptom reading module is used for reading symptom information of a patient sample, predicting inputinformation through a deep neural network model and obtaining a classification result of related drugs to form prediction information; further, the intelligent traditional Chinese medicine diagnosisand drug recommendation of chronic diseases are achieved, doctors are assisted in diagnosis and treatment, especially the doctors are assisted in providing the optimal treatment method for patients, and the expense cost is saved. Therefore, disease diagnosis accuracy can be improved, the death rate is reduced, and the hospital pressure is relieved; self-diagnosis and treatment of patients with chronic diseases can be achieved to a certain extent, national medical resources are saved, and the national health level is improved.

The invention discloses an intelligent high-voltage DC contactor, which comprises a shell, and is characterized in that the shell is internally provided with a main contact, an electromagnetic driving unit, an execution mechanism and an adhesion detection control unit, the adhesion detection control unit comprises an MCU module, a contactor energy-saving control module, a triode switching circuit, a photoelectric coupler, a relay, a remote communication module and a voltage stabilization module used for providing a stabilized power supply, the MCU module judges whether the main contact is adhered or not according to high/low level fed back by the photoelectric coupler, an alarm signal is sent to the remote communication module if the main contact is adhered, and the remote communication module sends the alarm signal to an upper computer; and if the main contact is not adhered, the electromagnetic driving unit is enabled normally through the contactor energy-saving control module, and then the execution mechanism drives the main contact to close or open. The intelligent high-voltage DC contactor realizes self diagnosis of a DC high-voltage product, the failure rate is effectively reduced, and the system security is ensured.

The invention discloses an oil pumping machine which comprises a fixedly arranged driving host of a permanent magnet synchronous speed reducer, a pylon fixed on a foundation and a first oil pumping rod driven by the driving host, wherein a steel wire cable drum which is driven by an output shaft of the driving host and wound with two steel wire cables is arranged on the driving host; one end of one steel wire cable is fixed on the drum, while the other end is fixed and articulated to a guide wheel on the pylon through a wheel shaft and then connected with the first oil pumping rod; one end of the other steel wire cable is fixed on the drum, while the other end passes through the guide wheel and then is connected with a counterweight or directly connected with the counterweight without passing through the guide wheel; and the wheel shaft of the guide wheel and the axis of the steel cable drum are horizontally arranged in parallel. The invention has reduced energy consumption, simple structure and convenient maintenance, can conveniently adjust the stroke and the jig frequency of an oil well, has the functions of diagnosing and detecting the working state of the oil well at any time and can further realize digital control and remote network control. The oil pumping machine is used as a petroleum exploitation machine.

The invention discloses a method for diagnosing faults of a pneumatic regulating valve based on particle swarm optimization. By means of a step of adopting an adaptive mutated particle swarm algorithmto optimize a diagnosis expert system offline and a step of diagnosing the faults online, the fault diagnosis accuracy is improved on the basis that the fault self-diagnosis of the pneumatic regulating valve is achieved, the missed diagnosis rate of the faults is reduced particularly, and valve fault operation is avoided; the versatility is good; the general operator can master, so that the automation degree and the intelligent degree of diagnosing the faults of the pneumatic regulating valve are improved.

A high-precision-digital-quantity-output electronic current transformer comprises a high-voltage-side sensing unit, a lower-voltage-side acquiring and transmitting unit and a high-voltage shell, and the high-voltage-side sensing unit comprises two hollow coil sensors which are positioned in a grounded screening case and connected with the lower-voltage-side acquiring and transmitting unit in a base via a shielding cable. The high-precision-digital-quantity-output electronic current transformer has the advantages that the two hollow coil sensors are adopted to measure current in a wire once by the high-voltage-side sensing unit, and synthesized output of two coils is adopted as final output of the transformer, so that common-mode interference is decreased beneficially, and accuracy in measurement of the transformer is increased; difference between outputs of the two hollow coil sensors is adopted to judge running status of the transformer, so that self-diagnosis on accuracy of the transformer is achieved, and the level of intelligentization is improved.

The invention discloses a 10kV medium-voltage direct-hanging type energy storage power station system, and belongs to the field of energy storage power station design. The system comprises a 10KV energy storage power station preceding stage and a DC/DC bidirectional energy storage converter, wherein the input end of the 10kV energy storage power station preceding stage is directly connected with a10kV power grid, the DC/DC bidirectional energy storage converter is connected with the output end of the energy storage power station preceding stage, and the 10KV energy storage power station preceding stage and the DC/DC bidirectional energy storage converter are subjected to two-stage conversion. According to the invention, the 10kV medium-voltage direct-hanging type energy storage power station system adopts a power electronic technology, the alternating current of a 10kV power grid is directly converted into 750 V direct current through a 10KV energy storage power station preceding stage, and then the 750 V direct current is converted into a voltage needed by an ultra-large battery pack through a DC/DC bidirectional energy storage converter; the 10kV medium-voltage direct-hanging type energy storage power station system has the advantages of low harmonic content, high and low voltage fault isolation, easy maintenance, bidirectional energy transmission and the like; a 750V directcurrent interface is provided, so that new energy and energy storage equipment can be directly accessed, an inverter stage is omitted, the efficiency is improved, and the cost is reduced; and the system is provided with various communication interfaces, so that an energy routing distribution function can be realized, and flexible power transformation and distribution and new energy flexible access are realized.

The invention is suitable for the technical field of GIS mechanical defect diagnosis, and provides a GIS equipment defect diagnosis device and method based on FFT, VMD and LS-SVM, and the GIS equipment defect diagnosis device comprises a vibration collection module which is used for collecting a vibration signal on a GIS equipment housing; a fingerprint database obtained by simulating typical abnormal sound vibration defects on the basis of a GIS equipment real-model platform; a feature extraction module used for extracting waveform features of the vibration signals by adopting an FFT algorithm and a VMD algorithm; a fault diagnosis module used for diagnosing the waveform characteristics by adopting an LS-SVM algorithm; and a PC upper computer which adopts a LabVIEW programming interface to realize man-machine interaction. The device has the advantages of integration, portability, high detection precision and the like, the abnormal sound vibration defects of the GIS equipment in operation can be self-diagnosed, potential mechanical defects of the GIS equipment can be found in time, and the system and the method have important significance on the maintenance of safe operation of the GIS equipment.

The invention provides a multi-channel strain signal synchronous collection system and method, and belongs to the field of electronic technology measurement; the system comprises a voltage reference proportion transformation circuit, a program control setting module, a driving circuit, a Wheatstone strain bridge, an amplifying circuit, an anti-aliasing filter circuit, an A/D synchronous collectioncircuit, an isolation module and a microprocessor system; the voltage of the voltage reference proportion transformation circuit is provided for the driving circuit by the program control setting module, the driving circuit drives the Wheatstone strain bridge to amplify and filter a strain signal through the amplifying circuit and the anti-aliasing filter circuit, an analog signal is converted into a digital signal through the A/D synchronous collection circuit and digital isolation, and finally the digital signal is transmitted to the microprocessor system through an SPI interface for processing; and the multi-channel strain signal driving circuit and A/D analog-to-digital synchronous conversion architecture proposed by the invention neither requires the electrical isolation between channels nor a plurality of analog-to-digital conversion chips, and requires no expanded conversion data storage and transmission circuitry, thereby reducing the size and reducing the cost.

A human body pulse acquisition and restoration system comprises an acquisition terminal, an Ethernet, a cloud data storage, calculation and analysis library and a restoration terminal. Data acquired by the acquisition terminal are transmitted to the cloud data storage, calculation and analysis library and the restoration terminal through the Ethernet. A pulse acquisition device is placed at a corresponding position of a human body according to a traditional Chinese medicine pulse taking mode and acquires human body pulse, the acquired data are transmitted to the cloud data storage, calculationand analysis unit through the Ethernet to be analyzed and filtered and transmitted to the restoration terminal to be restored, big data calculation analysis is implemented through a cloud calculationunit and a data analysis unit, a data analysis model and an existing model are compared and analyzed to help a doctor to diagnose diseases, a human body pulse pathology big data model is built, determined cases are analyzed and learned by a machine learning system, traditional Chinese medicine theories and modern frontier big data analysis are combined, and the diagnosis efficiency of traditionalChinese medicines can be improved, and an intelligent diagnosis function for the human body pulse is finally achieved.

A self-diagnosis operation optimization method based on power plant production real-time performance indicator assessment realizes performance indicator self-diagnosis and optimization operation guidance functions through real-time calculation and score assessment mechanisms of performance indicators. Data analysis and mining are performed from operation round values and time dimensions by utilizing a real-time big data platform and a performance score assessment mechanism of a plant-level monitoring information system, an operation decision case library and a diagnosis analysis demand libraryare established, and classified storage is performed on assessment results from business demands; associating the performance score and the performance index to specific equipment, operation parameters, operation actions and inventory operators; through comparative analysis, the abnormal condition of the assessment result is mined, and a specific performance diagnosis report and operation guidance suggestions can be provided. According to the method, the defect that a field production performance assessment system only stays in assessment and lacks diagnostic analysis and operation optimization guidance suggestions can be effectively overcome; according to the invention, data decision support is provided for refined management of power plant production operation.

The invention relates to a self-diagnosis carbon monoxide sensor for a coal mine and a self-diagnosis method. In the self-diagnosis carbon monoxide sensor, an intrinsically safe power supply in an intrinsically safe housing is electrically connected with a battery conversion module and then electrically connected with a central processor; the intrinsically safe power supply is further electrically connected with a power supply conversion module, a carbon monoxide detection circuit and the central processor in sequence; the power supply conversion module is further electrically connected with an output port multiplexing circuit; the battery conversion module is electrically connected with the power supply conversion module; and the central processor is further connected with an infrared remote controller in an infrared manner and electrically connected with a display module respectively. The self-diagnosis carbon monoxide sensor is characterized in that the central processor is electrically connected with the output port multiplexing circuit which is used for controlling an RS485 communication module, a frequency output end and a current output end. The invention provides a self-diagnosis method of the self-diagnosis carbon monoxide sensor for the coal mine simultaneously. Via the self-diagnosis carbon monoxide sensor and the self-diagnosis method disclosed by the invention, the integration of output multi-standard communication modes is realized; simultaneously, infrared remote control, self-diagnosis for the open-circuit states, the short-circuit states and the communication signal fault states of current-type, frequency-type and RS485 bus-type output circuits, and self-diagnosis and information transmission for the carbon monoxide component are realized.

A full-flow intelligent diagnosis and optimized operation system for an industrial furnace is characterized by comprising a full-flow intelligent detection module, a full-flow digital twinning module,an intelligent diagnosis and analysis module, an intelligent decision control module and an intelligent control execution module. In the full-flow intelligent sensing, full-flow digital twinning, intelligent analysis and diagnosis, intelligent decision making and smart decision making, full-flow intelligent sensing and feedback overall circulation closed-loop process, on one hand, continuous self-analysis and self-diagnosis are carried out on continuously increased and accumulated data, and on the other hand, continuous self-learning and self-optimization are carried out by means of digital twinning and intelligent analysis and diagnosis, and a production operation GPS navigation system is established to realize self-tracking, self-optimization and self-rectification optimization of the full-flow production process. Therefore, the intelligent system functions of self-analysis, self-learning, self-diagnosis, self-recovery, self-management and self-optimization are integrally realized.