1333 results about "Normal state" patented technology

The invention discloses a real-time fault monitoring Internet of Things system for a chemical production equipment cluster, relates to the technical field of equipment fault monitoring control, and is used for solving the problem of poor fault monitoring precision of the chemical production equipment cluster. Comprising a data acquisition module, a comparative analysis module, an equipment abnormity determination module and a fault trend prediction module. According to the method, data integrity is ensured by collecting data of different frequencies in a layering manner, complementing and correcting abnormal values, a baseline model is established, multi-dimensional features of normal states of equipment are extracted through an auto-encoder, operation features are quantified through a Gaussian mixture model, deviation judgment is achieved, an isolated forest and principal component analysis are combined, and the accuracy of deviation judgment is improved. According to the method, an abnormal state is comprehensively judged according to the deviation degree, the isolated score and the principal component deviation degree, an alarm signal is generated, meanwhile, ARIMA and LSTM models are adopted for predicting short-term and long-term trends in a fused mode, a comprehensive predicted value is formed, control measures are automatically executed when the trends are abnormal, and the operation safety of equipment is improved.

A driving state monitoring and feedback method and system based on multi-modal human factors intelligent data analysis, and an edge computing terminal device. The method comprises: receiving multi-modal human factors data of a tested driver that is collected in real time (S110); pre-processing the multi-modal human factors data, wherein the pre-processing comprises denoising processing and data normalization processing (S120); sending the pre-processed multi-modal human factors data into a pre-trained first state recognition model, so as to obtain a real-time recognized driver state, wherein driver states include a normal state and abnormal states, and the types of the abnormal states include a plurality of states such as a fatigue state, a distracted state and an angry state (S130); and when it is recognized that the driver state is an abnormal state, generating, for different categories of abnormal states, driving state feedback instructions to a driving intervention system, such that the driving intervention system performs state feedback adjustments on the driver on the basis of the received driving state feedback instructions (S140). The method and system can recognize different driving states of a driver in real time and then perform processing on the basis of different driving states, thereby avoiding the occurrence of traffic accidents.

The invention provides a prediction model construction method and system for personalized equipment operation and maintenance, and relates to the technical field of data processing, and the method comprises the steps: collecting equipment operation data and environment data, extracting the change characteristics of the equipment operation state, carrying out the correlation analysis of the environment data based on historical equipment fault records, and obtaining a prediction model. Performing normalization processing, performing time sequence analysis, generating a joint feature matrix, segmenting the joint feature matrix into time slices of a fixed window according to a time sequence, classifying the time slices into a normal state and an abnormal state, performing feature contribution degree analysis, generating a feature weight matrix, and performing feature extraction; re-combining the equipment features in the time slice feature data set with the environment factors according to feature weights, generating fusion feature data layer by layer, performing supervised learning training on the fusion feature data, constructing an equipment prediction model, and outputting the equipment prediction model as a prediction model of personalized equipment operation and maintenance; according to the invention, the operation and maintenance effect of personalized equipment is improved.

The invention discloses a multivariate time series data anomaly detection method based on VAE and association difference, which enables a model to effectively capture the anomaly change essence in a time series by introducing the association difference, and enables the model to quantify the change of the association degree between variables through the calculation of the association difference, thereby more accurately distinguishing the normal state from the abnormal state. Meanwhile, the time sequence is reconstructed by using a variational auto-encoder, so that the distribution rule of the data can be learned, and the factor which can best represent the essential characteristics of the data can be found out. And the association difference of the reconstructed time sequence is further learned, so that the anomaly distinguishing capability of the model is enhanced and generalized. In addition, the mean square error, the KL divergence and the correlation difference are combined to serve as the abnormity judgment standard, and the abnormity detection capacity of the model is greatly improved.

The invention provides an aero-engine state monitoring method and device based on sound and vibration fusion and a computer readable storage medium, and relates to the technical field of aero-engine state monitoring. The method comprises the following steps: acquiring signals respectively acquired by a vibration sensor and a sound sensor; respectively intercepting a vibration signal low-frequency component and a sound signal high-frequency component based on the frequency response characteristic difference of the sensor; performing normalization processing on the intercepted signal to eliminate amplitude difference; constructing a transition region through an interpolation method, and splicing the continuous mixed frequency spectrum to obtain a sound-vibration fusion spectrum; and establishing a health benchmark based on the normal state fusion spectrum, and realizing abnormity monitoring and alarm through characteristic difference analysis. Advantages and characteristics of a low-frequency band of the vibration sensor and a high-frequency band of the sound sensor are fully utilized, frequency response limitation of a traditional single sensor is broken through, deep fusion of sound and vibration signals is achieved, the effective detection frequency range is remarkably widened, and accuracy and robustness of recognition of early faults such as aero-engine blade breakage are improved.

The invention relates to the technical field of data monitoring, in particular to an automatic monitoring system for plasma meltallizing coating process data, which is characterized in that a parameter association relationship analysis module performs association analysis based on real-time parameters in a plasma meltallizing coating process, identifies an association relationship among the parameters and generates a process parameter association analysis result; according to the method, through multi-dimensional correlation analysis and path screening of the technological parameters, key factors influencing the coating quality and action links of the key factors are defined, and the abnormal fluctuation state and the transfer path can be accurately predicted in combination with parameter priority dynamic adjustment and real-time data feedback, so that the stability and continuity in the technological process are ensured. In the scheme, a dynamic weight distribution strategy is adopted, so that key parameters in an abnormal state occupy a higher priority position, parameter distribution is rebalanced when the normal state is recovered, and excessive interference of a single parameter on the whole process is avoided.

The invention relates to the technical field of industrial equipment fault diagnosis, and provides an industrial equipment real-time fault diagnosis method and system based on a generative model, and the method comprises the following steps: collecting the original operation data of industrial equipment in real time through a plurality of sensors, carrying out the preprocessing of the original operation data, obtaining the real-time operation data, and carrying out the calculation of the real-time operation data; the preprocessing comprises abnormal value detection and standardization; constructing a generative model based on the real-time operation data, generating a normal data sample of the industrial equipment in a normal state through the generative model, and integrating the real-time operation data and the normal data sample to obtain a multi-dimensional data sample; performing feature extraction on the multi-dimensional data sample by using a deep learning model to obtain a fault diagnosis vector; performing fault mode identification on the fault diagnosis vector through a classification model to obtain a fault diagnosis result, and performing state judgment on the fault diagnosis result according to a preset threshold to obtain an industrial equipment state; and the state and the fault diagnosis result of the industrial equipment are displayed in real time through a dynamic monitoring interface. According to the method, the real-time performance and the overall efficiency of fault diagnosis are improved, and the loss caused by equipment faults can be effectively reduced.

To further enhance the amusement of a game.SOLUTION: A game machine 1 is a one-type-two-type-mixed machine, and is referred to as a management game machine in which a game ball as a virtual game medium is encapsulated and circulated within the game machine 1. The game machine 1 has a main control board 10, a frame control board 160, a performance control board 120, a first special drawing pattern display device 20, and a second special drawing pattern display device 21. The main control board 10 can transmit a game state and a situation of progress and stop of a game to the frame control board 160. Game state information indicating an advantageous state is provided. First game state information and second game state information are provided. Even if the game state becomes a normal state, when a reserve of a second special drawing pattern of first and second special drawing patterns is digested at an end of an auxiliary game advantageous state, at least the second game state information can be kept.SELECTED DRAWING: Figure 46

The invention discloses an intelligent operation and maintenance system, method and equipment for steam turbine lubricating oil and a storage medium, and relates to the technical field of industrial digital intelligent operation and maintenance. Zero loss and low delay of data are guaranteed through the data transmission module, and the data fault problem of traditional manual meter reading is solved; static parameters are converted into dynamic trend, residual life and abnormal early warning through a hybrid model of a visual cloud operation and maintenance module, and intelligent conversion from data to decision is realized; and the oil filtering execution module automatically responds to the instruction to complete closed-loop treatment from polluted oil liquid to clean oil liquid without manual intervention, so that real-time monitoring and intelligent analysis of the running state of the steam turbine are realized, an oil filtering system is automatically started when a set threshold value is reached, the oil liquid is ensured to be in a normal state, the maintenance cost is reduced, and the operation and maintenance efficiency is improved.

To further enhance the amusement of a game.SOLUTION: A game machine 1 is a one-type-two-type-mixed machine, and is referred to as a management game machine in which a game ball as a virtual game medium is encapsulated and circulated within the game machine 1. The game machine 1 has a main control board 10, a frame control board 160, a performance control board 120, a first special drawing pattern display device 20, and a second special drawing pattern display device 21. The main control board 10 can transmit a game state and a situation of progress and stop of a game to the frame control board 160. First game state information indicating an auxiliary game advantageous state and second game state information are provided. Even if the game state becomes a normal state, when a predetermined condition is satisfied, at least the second game state information can be kept.SELECTED DRAWING: Figure 46

The invention relates to an anti-ant large-core-number fiber ribbon cable comprising a cable core and an outer sheath. The cable core includes loose tubes; and fiber ribbons are sleeved inside the loose tubes. The outer sheath is an outer nylon sheath; and a non-metallic reinforcement layer is arranged between the outer sheath and the cable core. According to the anti-ant large-core-number fiber ribbon cable provided by the invention, with the outer nylon sheath, ants can not bite the sheath, so that the damages on the optical cable by ant biting in a pipe at an area with a serious anti problem are prevented, the normal state of the cable is ensured, and the application region of the cable is extended. The cable based on a simple and reasonable structure has advantages of small cable diameter, high fiber density, large fiber capacity, and low duty ratio and can be laid in a pipe conveniently; and the bending performance is good. During branched connection, 4 to 24 fibers can be melted once, so that the construction time is saved and the manpower cost is lowered, and the construction efficiency is improved. On the basis of the full drying type dielectric structure, branched connection is realized conveniently and usage becomes convenient.

The invention provides an equipment state deviation identification method based on self-supervision and incremental learning, and the method comprises the steps: S1, obtaining time sequence data of equipment in a fault-free state, and constructing a normal state model; s2, during operation, deviation detection is carried out on real-time data through the normal state model, and a deviation degree index is obtained; s3, comparing the deviation degree index with a preset threshold value, and judging an abnormal event; s4, determining new normal state data by manually verifying the abnormal event; and S5, updating the normal state model according to the new normal state data. The method does not need to depend on a fault sample, establishes an equipment normal behavior model through self-supervised learning, introduces a deviation index to quantify a state difference, and combines manual feedback and incremental learning to form a closed loop, so that the model has self-adaptability and long-term evolution ability.

To provide a game machine that can increase the interest of a game.SOLUTION: In a Pachinko machine 10, when the result of a variable display of a third symbol on a display screen 42a of a third symbol display device 42 indicates a time-shortening win, it is possible to generate a consecutive win zone that is more advantageous to a player than a normal state as the subsequent state. A CPU of a sub-control device has a performance execution function that can execute a predetermined performance on the basis of the result of a lottery performed by a CPU of a main control device. Since the result of a special symbol 2 lottery based on the entry of a game ball into a special symbol 2 start winning device 33b is set to be easy to win, the CPU of the sub-control device can execute a consecutive win suggestion performance indicating that the result of the special symbol 2 win may occur consecutively on the basis of the result of the special symbol 2 lottery when start information based on the entry of a game ball into the special symbol 2 start winning device 33b is reserved in the consecutive win zone, by the performance execution function.SELECTED DRAWING: Figure 297

To provide a game machine for increasing fun of a game.SOLUTION: A CPU of a main control device can generate a first special RUSH state when a variation display of a special pattern 1 based on first start information acquired based on entry of game balls into a special pattern 1 start winning device 33a results in a time-shortening (2) jackpot in a normal state. The CPU of the main control device also generate a second special RUSH state when a variation display of a special pattern 2 based on second start information acquired based on entry of game balls into a special pattern 2 start winning device 33b result in a time-shortening (2) win in the first special RUSH state and when game balls enter a V winning hole 31b. The CPU of the main control device allows value of the first special RUSH state to differ from value of a second special RUSH state.SELECTED DRAWING: Figure 309

To provide a game machine for increasing fun of a game.SOLUTION: A game machine can generate at least a normal state, a jackpot state for opening or closing a variable winning device 32, and a time-shortening state more advantageous to a player than the normal state after completion of the jackpot state during a game, can perform setting such that game balls cannot easily enter a special pattern 2 start winning device 33b in a normal state and game balls easily enter the special pattern 2 start winning device 33b in a time-shortening state, and performs setting such that a time-shortening (2) state (special RUSH state) can be generated more easily when game balls enter the special pattern 2 start winning device 33b in a time-shortening state than when game balls enter a special pattern 1 start winning device 33a in a normal state.SELECTED DRAWING: Figure 268

To provide a game machine for increasing fun of a game.SOLUTION: A game machine has a higher game value when a variation display of a third pattern display device 42 based on satisfaction of entry into a special pattern 1 start winning device 33a results in a win having time-shortening in a normal state than when a variation display of the third pattern display device 42 based on satisfaction of entry into a special pattern 2 start winning device 33b results in a time-shortening state in a time-shortening state, and more easily leads to a win to which time-shortening (2) in a more advantageous time-shortening state is granted when a variation display of the third pattern display device 42 based on satisfaction of entry into the special pattern 1 start winning device 33a results in a win in a normal state than a variation display of the third pattern display device 42 based on satisfaction of entry into the special pattern 2 start winning device 33b results in a win in a time-shortening state.SELECTED DRAWING: Figure 268

To provide a game machine for improving merchantability.SOLUTION: A game machine has a normal state, and a special state more advantageous than the normal state, can display a predetermined display regarding an advantageous state in a predetermined display area and can display a special display in which a form can be transformed during the special state in a special display area, the form of the predetermined display regarding an advantageous state in the predetermined display area is not changed during the special state, movable body control means can perform confirmation operation control for operating a movable body by operation for confirming normal operation of the movable body when power is turned on, and the confirmation operation control is used to operate the movable body such that the movable body does not overlap with the special display area much more than the predetermined display area.SELECTED DRAWING: Figure 304

The invention provides a fault detection method based on the combination of a Transform model of VMD and a BiGRU, and the method comprises the steps: firstly collecting voltage and current signals, and carrying out the preprocessing of the voltage and current signals; then, decomposing the preprocessed signal into a plurality of modal components by using VMD, and performing normalized coding to form a feature vector; the feature vectors are then input into a Transform model, deep features are extracted, and residual connection and layer normalization processing are carried out; the output of the Transform model is input into the BiGRU network, time sequence change characteristics are captured, and a characteristic vector with a fixed length is output; and finally, inputting the output of the BiGRU network into a softmax classifier, outputting probability distribution through linear transformation and a softmax function, and selecting a fault type with the maximum probability as a final result. And if the fault type is not a normal state, generating early warning information and giving an alarm. The method has the advantages of high-precision fault detection, strong robustness, strong adaptability and good real-time performance, and can effectively improve the accuracy and efficiency of fault diagnosis of the power system.

The invention discloses an intelligent aeration control system and method for a sewage treatment plant, and relates to the technical field of sewage treatment control. Comprising a data acquisition module, an aeration test module, a demand prediction module, a normal state analysis module and an aeration control module, wherein the data acquisition module is used for acquiring real-time working data of a primary sedimentation tank, test data of an aeration tank, historical working data and real-time working data of the aeration tank and preprocessing the data; the technical key points are as follows: an aeration tank is scientifically divided into multiple sections, professional monitoring equipment is deployed in each section, multi-dimensional data is acquired, the data of each section is independently acquired and tested, the operation condition and the processing effect of the aeration equipment in each section can be accurately mastered, and on the basis of the accurate data and in combination with an aeration efficiency evaluation model and a regulation and control strategy, the aeration efficiency of the aeration tank is evaluated. And fine adjustment can be performed according to actual requirements of each section, so that resource waste or poor treatment effect caused by one-step regulation and control is avoided, efficient and accurate operation of the aeration equipment is realized, and the aeration equipment has a good use prospect.

To provide a game machine for improving merchantability.SOLUTION: A game machine has a normal state, and a special state more advantageous than the normal state, can display a predetermined display regarding an advantageous state in a predetermined display area and can display a special display in which a form can be transformed during the special state in a special display area, the form of the predetermined display regarding an advantageous state in the predetermined display area is not changed during the special state, movable body control means can perform confirmation operation control for operating a movable body by operation for confirming normal operation of the movable body when power is turned on, and the confirmation operation control is used to operate the movable body such that the movable body does not overlap with the special display area much more than the predetermined display area.SELECTED DRAWING: Figure 304

To provide a game machine for improving merchantability.SOLUTION: A game machine has a normal state, and a special state more advantageous than the normal state, can display a predetermined display regarding an advantageous state in a predetermined display area and can display a special display in which a form can be transformed during the special state in a special display area, the form of the predetermined display regarding an advantageous state in the predetermined display area is not changed during the special state, movable body control means can perform confirmation operation control for operating a movable body by operation for confirming normal operation of the movable body when power is turned on, and the confirmation operation control is used to operate the movable body such that the movable body does not overlap with the special display area much more than the predetermined display area.SELECTED DRAWING: Figure 304

The invention provides a transformer on-load tap-changer on-line monitoring and fault diagnosis method, and relates to the technical field of electrics. The method comprises the following steps: acquiring electric arc energy and on-load tap-changer contact position information generated during the switching action of a transformer on-load tap-changer; determining a switching performance score; acquiring operation data of the on-load tap-changer of the transformer; inputting the operation data into a trained fault probability prediction model, and obtaining predicted fault probability data during the switching action of the transformer on-load tap-changer; determining whether the transformer on-load tap-changer meets a preset target condition or not; if the on-load tap-changer of the transformer meets the preset target condition, determining that the state of the on-load tap-changer of the transformer is a normal state; and if the transformer on-load tap-changer does not meet the preset target condition, determining that the state of the transformer on-load tap-changer is a fault state. According to the invention, the state of the on-load tap-changer can be comprehensively monitored according to the switching performance and the predicted fault probability.

The invention discloses an electric power digital anomaly identification method and system based on digital twinning, and relates to the technical field of electric power. Comprising the following steps: constructing a digital twinborn model according to power data of a plurality of time periods in a current detection period; obtaining multi-source operation data in the power system, and preprocessing the multi-source operation data; according to actually collected data, inputting the data into a digital twin model for simulation, and generating virtual operation data; calculating a data deviation value between the virtual data and a normal state according to a dynamic deviation coefficient formula; on the basis of the deviation value, abnormal features are extracted, and the abnormal features are judged; and generating a corresponding early warning response according to a judgment result. According to the method, through accurate simulation of the digital twin model and comprehensive analysis of multi-source data, abnormal feature extraction and grading judgment are combined, the abnormal condition of the power system can be identified more accurately, and misjudgment and missed judgment are reduced.

The invention discloses an abnormality diagnosis method for an electric energy metering device, and the method comprises the steps: building a dynamic baseline model which reflects the real normal state change rule of a target user through the full mining of the historical multi-dimensional and fine-grained data of the target user, and carrying out the refined comparison through the data collected in real time at high frequency, thereby achieving the abnormality diagnosis of the target user. Sensitive and reliable anomaly criteria are formed by comprehensively considering absolute and relative deviations, so that possible problems of the metering device can be quickly and accurately identified in an actual operation environment. Through the mode, the adaptive capacity of the diagnosis result to individual differences and behavior change trends is remarkably improved, and efficient data security guarantee and operation and maintenance support are provided for a large-scale intelligent distribution network system.

Embodiments of the present application provide a fault detection method and apparatus for an external device. The method comprises: when target information comprises first error information, injecting the first error information into an external device, and when the target information comprises first register data, sending the first register data to a basic input / output system (BIOS), wherein the first register data is register data generated by a register, which simulates the external device, responding to second error information; acquiring a first log and / or a second log reported by the BIOS, wherein the second register data is register data generated by the register responding to the first error information; and according to the first log and standard register data corresponding to the first error information, determining a running state of the external device, and / or determining a running state of the BIOS according to the second log and a standard log corresponding to the first register data, wherein the running state is a fault state or a normal state.

The present invention discloses a single-photon detector refrigeration control method and system that is adaptive to temperature and TEC performance changes. The method limits the maximum operating voltage of TEC, monitors the TEC operating voltage and refrigeration temperature in real time, and automatically adjusts the target temperature and APD working bias voltage according to the monitoring results, effectively ensuring that the single-photon detector can still work stably when the working environment temperature is too high or the TEC performance is degraded. At the same time, when the ambient temperature is allowed to return to the normal temperature range, the TEC's refrigeration target temperature can be restored to the initial refrigeration target temperature and the APD's working bias voltage can be adjusted synchronously, so that the performance indicators of the single-photon detector, such as the detection efficiency, dark count rate, and after-pulse probability, will be synchronously restored to normal. In this way, the service life of TEC and single-photon detector equipment can be effectively improved, and the environmental adaptability of the single-photon detector can be improved.

The invention provides a new energy grid-connected converter fault ride-through method and system under an asymmetric fault, and the method comprises the steps: calculating the positive sequence voltage amplitude of a power grid and the voltage unbalance degree of the power grid according to the positive and negative sequence parameters of the power grid; judging whether the power grid is in a normal state or a fault state; when the power grid is in the asymmetric fault state, current amplitude limiting is carried out by adopting a calculation formula of a positive and negative sequence current instruction in the asymmetric fault state based on the related parameters of the power grid fault, and the amplitude limiting value of the positive and negative sequence current instruction of the new energy grid-connected converter in the asymmetric fault state is calculated; feedback control is carried out according to the amplitude limiting values of the positive and negative sequence current instructions, and fault ride-through is completed; according to the method, the current is subjected to amplitude limiting in the calculation formula of the positive and negative sequence current instructions, so that the positive and negative sequence active and reactive current control target can be met to the greatest extent on the premise of ensuring that overcurrent of the converter does not occur, and the power grid supporting capacity during the fault period is improved.

The invention discloses an open-circuit fault diagnosis method for a switching tube of a dual-active bridge converter. The open-circuit fault diagnosis method comprises the following specific steps: modeling the dual-active bridge converter; analyzing voltage and inductance waveform characteristics of the dual-active bridge converter in a fault state of each switching tube on the primary side and the secondary side; comparing and analyzing fault features of each switching tube, and selecting a difference value between an inductive current average value and a bridge arm midpoint voltage average value in a fault state and a normal state as a fault feature; and designing a fault diagnosis algorithm according to the selected fault features. Compared with a traditional fault diagnosis method, only the voltage of one bridge arm of the primary side and the voltage of one bridge arm of the secondary side are selected as fault features, fewer sensors are needed, and real-time online fault diagnosis is more accurate and rapid.

The invention provides a monitoring method and device for a mine hoist and a monitoring system for the mine hoist. The monitoring method comprises the steps that operation condition data of the mine hoist are obtained; according to the operation condition data, multi-angle analysis is carried out, corresponding analysis results are obtained, and the analysis results at least comprise one of the following results: the mine hoist is in a normal state, motor temperature rise of the mine hoist is abnormal, a brake shoe of the mine hoist is excessively worn, and the mine hoist has an aging risk; and executing corresponding countermeasures on the mine hoist according to the analysis results. The problem of low monitoring and early warning efficiency of the mine hoist due to lack of comprehensive monitoring of motor analysis, brake shoe clearance analysis, key point monitoring of an electric control system and environment monitoring in the mine hoist in the prior art is solved.

The invention relates to a safety air bag ignition control method and device, computer equipment, a storage medium and a computer program product. The method comprises the steps that the running state of the automobile safety air bag control system is configured through the safety control state machine; under the condition that the running state is the normal state, the ignition function of the automobile safety air bag control system is configured to be in a forbidden state through a safety control state machine; in response to the fact that the automobile safety air bag control system is powered on for the first time and / or a watchdog error is detected, the running state is switched to a watchdog error protection state from a normal state through a safety control state machine; and under the condition that the operation result of the sensor data processing unit exceeds a preset threshold value, the operation state is switched from the normal state to the safety air bag ignition enabling state through the safety control state machine, and the ignition function is switched to the starting state. By adopting the method, the low-delay and high-precision response requirements of the chip on the ignition control instruction can be met.