50results about How to "Avoid unexpected accidents" patented technology

The invention discloses a tunnel construction informatization dynamic monitoring system and a monitoring method thereof. The system comprises an industrial personal computer, a PLC (programmable logic controller) wireless controller, a high-configuration digital camera, a deformation monitoring sensitization part, digital display acquisition equipment, wireless transmission equipment and a dynamic design feedback device. The method includes: 1), controlling commands to be transmitted to the PLC wireless controller by a computer control main station and controlling the digital camera and the digital display acquisition equipment; 2), acquiring internal force monitoring data by the aid of the digital display acquisition equipment; and acquiring a deformation monitoring image via the deformation monitoring sensitization part by the digital camera; 3), transmitting a monitored value to the computer control main station by the aid of the wireless transmission equipment; 4), analyzing results by the computer control main station via a real-time analysis module; and 5), transmitting the analyzed results to the dynamic design feedback device, analyzing relative difference of the really monitored value and a standard value, and early warming in real time by an early warning module. The tunnel construction informatization dynamic monitoring system is scientific, safe and practical, the method is convenient, instant, fast and effective, and safety problems in construction monitoring of tunnels are avoided.

The invention discloses a method and system for diagnosing bearing faults of a large-size wind turbine bearing. The method comprises the following steps of: firstly, measuring a vibration signal of a wind turbine main shaft bearing; secondly, automatically extracting a resonance frequency band of the bearing faults by adopting a self-adaptive spectrum kurtosis technology and obtaining a fault feature frequency by adopting a narrow-band filtering and envelope demodulation technology; and finally, comparing the fault feature frequency with a theoretical calculating value, positioning and recognizing to obtain a bearing fault type. The method and system disclosed by the invention are suitable for actual operation conditions of an actual wind turbine; and according to the method and system, the influence from non-stable work conditions and work condition noises of the wind turbine is overcome, the resonance frequency band caused by the bearing faults can be automatically recognized without manual operation and bearing fault types can be recognized automatically and quickly.

The invention discloses a time-frequency diagram processing method and system for mechanical equipment monitoring vibration signals. The time-frequency diagram processing method comprises the steps that firstly, linear or bilinear time-frequency transformation is carried out on collected mechanical equipment monitoring vibration signals to obtain a time-frequency diagram TFRs, and average threshold processing is carried out on the time-frequency diagram TFRs to obtain a sparse time-frequency diagram STFRs; secondly, time-frequency compression sampling is carried out on the STFRs in a random sampling mode to obtain a matrix M<STFR > with dimensionality being k times the dimensionality of an original matrix; thirdly, the parallel class FISTA proximal decomposition method is used for reconstructing an STFRs* through iterative computation. The time-frequency diagram processing system comprises a monitoring front-end machine and a server connected with the monitoring front-end machine. The monitoring front-end machine comprises an A/D data collection module, a time-frequency transformation module, an average thresholding module and a time-frequency compression sampling module and is connected with a vibration sensor. The server comprises an on-line data storage module and a reconstruction algorithm module. According to the time-frequency diagram processing method and system, the dimensionality of the reconstructed time-frequency diagram is greatly reduced, data storage and transmission are facilitated, and time-frequency analysis technology can be widely applied for mechanical equipment fault real-time quantitative analysis and diagnosis.

The invention discloses a composite fault diagnosis method and system of a gear case. The composite fault diagnosis method comprises firstly measuring and storing vibration signals of the gear case; then adopting 1/4 sampling translation dual tree complex wavelet transform for resolving; and finally extracting a plurality of fault characteristics by adopting an energy operator demodulation method in a plurality of sub-band signals obtained by resolving, and further identifying a composite fault mode. The composite fault diagnosis method is fused with a complementary characteristic using dual tree complex wavelets and energy operator demodulation, and the obtained gear case is high in recognition capability of composite fault characteristic extraction. By means of speed capability of parallel realization of the dual tree complex wavelet transform and the energy operator demodulation method, partial polling and on-line monitoring of the gear case in a working condition can be completely applied, sudden accidents can be avoided, and the composite fault diagnosis method and system can be applicable to gear case portions in different models.

The invention provides an urban tunnel construction monitoring method including a half-covered excavation and sequential construction method and a monitoring system, and belongs to the field of engineering monitoring. The method comprises a tunnel construction method including the half-covered excavation and sequential construction method, a manual monitoring method and an automatic monitoring method. The half-covered excavation and sequential construction method comprises steps of constructing one half of a road during the deep foundation pit construction; after excavating the road for a certain depth, enclosing the top; carrying out the rest engineering under an enclosed top cover; carrying out open-air excavation and construction o the other half of opened part; and after the road is excavated to a standard height, constructing a main body structure and carrying out water-proof operation from the bottom to the top from the lowest layer structure until carrying out backfilling and restoring tube circuits to the basic surface. The manual monitoring method comprises steps of presetting a test piece and a test point in a fixed position; and using an instrument to carry out manual measurement to acquire related data. The automatic monitoring method comprises the step of achieving construction monitoring on deformation and force bearing of a tunnel support system through the data automatic acquisition technology, the network wireless communication technology and the database application technology so that a data guidance dynamic construction scheme can be dynamically fed back and monitored at any time.

The invention provides a big data sensitive characteristic optimization selecting based equipment failure early warning method and system. The method includes the following steps: collecting vibrationdata of equipment under a normal working condition, and performing time and frequency domain index feature extraction on the vibration data to form vibration-like feature vectors; applying a compensation distance assessment technique to perform optimization selecting on the vibration-like feature vectors, and commonly forming a sensitive vector set by the optimally selected vibration-like featurevectors and the process data of the equipment under the normal working condition to be a training sample which supports a vector data description model so that a SVDD hypersphere model of the equipment under the normal working condition can be formed through training; and processing testing vibration data by adopting the above same steps, and forming a testing sensitive vector set with the obtained optimized selection feature vectors and the process data under a testing working condition to input to the SVDD hypersphere model under the normal working condition, and performing early warning analysis on output results when the equipment is abnormal or is about to be abnormal. Thus, the intelligent maintenance of the equipment can be realized.

The invention discloses an intelligent ship engine room monitoring alarm system based on a model. The system comprises a control system, a power system and a load system. A main propulsion system of aship shows a work state of the control system according to a change rule of parameters of a rotation speed fluctuation ratio, a rotation direction and a rotation speed. A thermal work process parameter of a host is used to represent a work state of the power system. A memory, one or more processors, and one or more programs are included. One or more programs are stored in the memory and are configured to be a process that one or more processors execute so as to complete fault type determination and an engine room system is integrally assessed. In the invention, through combining analysis of aconventional thermal parameter, mechanical states of motion parts are inspected and monitored according to a vibration signal so as to avoid a major sudden accident and realize integration assessmentof an engine room environment, marine engineer quality and a ship management level.

The present invention discloses a fault diagnosis method for a reducer based on VMD (empirical mode decomposition) and PCT (polynomial frequency-modulated wavelet transform). The method comprises: selecting the modal component with most obvious features obtained by using the VMD algorithm as input of PCT to obtain a gear time-frequency diagram and a bearing time-frequency diagram respectively; according to the fault frequency and the cycle period on the gear time-frequency diagram, determining the position of a faulty gear for positioning a gear fault source; based on the number of obviously periodic time-frequency bands, giving out a determination result of the severity of the gear fault; and determining the type of the bearing fault according to the cycle period on the bearing time-frequency diagram. According to the method provided by the present invention, through the combination of gear diagnosis and bearing diagnosis, the diagnostic efficiency and the recognition accuracy are improved, and the complete diagnosis of the reducer is realized.

The invention relates to a health diagnosis method for a diesel generating set; and the method comprises the steps: combining a set health scoring system with a set fault recognition model, carrying the set health scoring system and the set fault recognition model on an intelligent IO controller to obtain a set of complete set health diagnosis system, and obtaining a current state operation healthindex of the set through employing set parameters as input; a parameters change is reflected by a health score in real time when the parameters change, and early warning is carried out in advance when a certain parameter is seriously deteriorated, so that fault prediction and fault diagnosis are realized. In the early stage of a fault or even when the state of the set is slightly abnormal, judgment and warning can be conducted in time, the operation health state of the set is mastered in real time and prevented in advance, sudden accidents are prevented, and the stability of the set and the system safety are improved. And a set of universal fault prediction algorithm solution is established and is gradually developed to provide a whole set of intelligent function development solution forfault diagnosis and fault prediction for various ship mechanical auxiliary equipment.

The present invention provides a containment circulating cooling unit fan vibration diagnosis apparatus and method. The containment circulating cooling unit fan vibration diagnosis apparatus comprises the a vibration sensor, a vibration characteristic processing unit, a diagnostic management unit, a wireless data interface unit, a standard signal interface unit, an in-containment repeater, an out-containment repeater, and a wireless data receiving and storage server, wherein the vibration sensor, the vibration characteristic processing unit, the diagnostic management unit, the wireless data interface unit, the standard signal interface unit and the in-containment repeater are located in the interior of the containment of the nuclear power plant, and the out-containment repeater and the wireless data receiving and storage server are located outside the containment of the nuclear power plant, the vibration sensor is arranged on a nuclear power plant containment circulating cooling unit fan casing, the vibration sensor vibration is in connection with the vibration characteristic processing unit, the vibration characteristic processing unit is in connection with the diagnostic management unit, and the diagnostic management unit is in connection with the wireless data interface unit and the standard signal interface unit. The containment circulating cooling unit fan vibration diagnosis apparatus reduces the amount of use of cables in the containment, and enhances the flexibility of the diagnostic framework.

The invention discloses a gearbox gear fault diagnosis method, and belongs to the related technical field of gear fault diagnosis methods. The invention provides the gearbox gear fault diagnosis method based on the combination of EEMD (ensemble empirical mode decomposition), sample entropy and an extreme learning machine by considering other factors such as non-stationarity, fault type and fault positioning diagnosis of a gearbox gear vibration signal. The method comprises the following steps of: decomposing an original vibration signal into a plurality of intrinsic mode function parts by adopting an EEMD decomposition method; and selecting a main part according to a principle that a correlation coefficient between the part and an original vibration signal is greater than 0.1, calculating sample entropies of the main part to form a feature vector, and importing the obtained feature vector into an extreme learning machine to carry out fault type classification recognition. Meanwhile, through a frequency domain graph obtained by carrying out fast Fourier transform on an original signal, observing and recording a fault frequency and a side frequency thereof to obtain fault gear positioning. And finally, combining the gear type with fault positioning to obtain a gear fault diagnosis comprehensive conclusion.

The invention provides a high-voltage cable outdoor terminal silicone oil degradation and combustion test platform and a degradation and combustion test method. The high-voltage cable outdoor terminalsilicone oil degradation and combustion test platform comprises a gas source regulation and control system, a reactor, an exhaust system and a data analysis system, wherein the reactor comprises a reaction cavity and a degradation device; silicone oil is placed in the reaction cavity, and the degradation device degrades the silicone oil in the reaction cavity; the reactor comprises a gas inlet and a gas outlet; the gas source regulation and control system introduces gas into the reaction cavity through the gas inlet, and the reaction cavity exhausts gas to the exhaust system through the gas outlet; the data analysis system is in communication connection with the gas source regulation and control system and the exhaust system. The purposes of simulating the degradation and combustion process of the terminal silicone oil under the environmental conditions of electricity, heat, dampness, oxygen and the like are achieved, the degradation development rule of the cable silicone oil and combustion characteristic data is grasped, a detection strategy is correspondingly formulated, and the occurrence of sudden accidents caused by the degradation problem of the silicone oil is avoided.

The invention discloses a pressure-bearing sealing device for a pumping well. The pressure-bearing sealing device comprises a three-way connector, a second emptying valve, a second double-male pup joint, a sleeve pup joint and a sealing assembly. A first connector of the three-way connector is in sealed connection with one end of the casing pipe pup joint through threads. The other end of the casing pup joint is hermetically connected with a casing at the wellhead of the producing well through threads; a second interface of the three-way joint is hermetically connected with one end of a second double-male short joint through threads; the other end of the second double-male pup joint is hermetically connected with the second emptying valve through threads; the sealing assembly comprises a sealing flange, an oil pipe hanger, a first emptying valve, a first pressure gauge and a first stop valve, and a second stop valve is further arranged on the three-way connector; and the second stop valve is connected with a second pressure gauge. According to the pressure-bearing sealing device, the connecting reliability of all the connecting positions is high, meanwhile, the pressure change of the oil pipe can be checked through the first pressure gauge when water is injected into the oil producing well, and safety and sealing performance are improved.

The invention provides a track full life cycle management system, which comprises a data acquisition terminal, a server, a database and a client, and is characterized in that the data acquisition terminal acquires data and uploads the data to the server through an operator network, the server screens and processes the uploaded data and stores the data into the database; the server receives a request of the client, and makes responses of data storage or data extraction and processing correspondingly; and the database is used for storing the data of the data acquisition terminal, and the clientsends an application request to the server and presents the requested data to the user after receiving the feedback data. Preventive and repairable monitoring and maintenance are carried out on the full life cycle of the steel rail, and parameter changes of the steel rail can be effectively monitored in time in each stage of the life cycle of the steel rail, so that maintainers are prompted to correct unfavorable steel rail problems in time, and sudden accidents caused by problem accumulation are prevented. And finally, the effects of prolonging the service life of the steel rail and improvingthe comfort, economy and safety of the train are achieved.