94 results about "Unstable status" patented technology

The invention relates to the technical field of automatic driving, and particularly provides an automatic driving vehicle track re-planning method, which comprises the following steps of: firstly, evaluating stability risk and defining three states of vehicle stability through real-time vehicle dynamic parameters, and designing intervention and exit criteria of track re-planning according to the three states; when the vehicle driving is evaluated to be in an unstable state, generating a virtual obstacle by using prediction information of a path tracking module, and converting a dynamic stability boundary into a spatial constraint; performing trajectory re-planning by adopting nonlinear model predictive control, and adjusting the weight between the path tracking precision and the obstacle avoidance demand according to the relative position of the virtual obstacle in combination with a dynamic weight adjustment mechanism; and finally, generating an optimized trajectory containing stability constraint, and realizing high-precision tracking through linear MPC. The method can effectively balance the path tracking precision and the vehicle stability under a complex working condition, and prevents the vehicle from entering a dynamic unstable region.

The invention relates to the technical field of electric power system control, and discloses an emergency control coordination method for power angle stability of an electric power system and related equipment, and by obtaining time domain simulation data of a system test fault and constructing a power angle stability margin, early warning can be performed before the power angle of the system is unstable. The early warning mechanism is helpful for taking measures in advance and preventing the system from entering an unstable state. And when the power angle of the system is indeed unstable, the effects of different control measures can be quickly predicted through the constructed power angle stable sample set and the trained convolutional neural network model, so that quick response is realized, and measures are taken. By constructing the emergency control optimization model considering the control sensitivity, the effects and the sensitivity of various control measures can be comprehensively considered, so that the optimal emergency control strategy is determined, and the control on the system stability is effectively improved according to the optimal emergency control strategy.

The invention relates to the technical field of industrial safety and nondestructive testing, and particularly discloses a nondestructive testing optimization method based on safety state evaluation precision feedback of explosion-proof equipment, which comprises the following steps of: monitoring a beam steering angle and a local temperature gradient of the explosion-proof equipment in real time, and acquiring key data by using a high-precision sensor network; a clustering algorithm, fast Fourier transform and other advanced data analysis technologies are applied to calculate a beam steering angle abnormal characteristic value and a local temperature gradient characteristic value so as to evaluate the ultrasonic propagation stability and the consistency of the internal structure of the equipment, the characteristic values are synthesized to construct a characteristic vector, the characteristic vector is input into a support vector machine model, and the ultrasonic propagation stability is improved. And outputting the safety state score of the equipment to judge whether the current detection process is in an unstable state or not, automatically adjusting the beam steering angle to cover the abnormal area once the system judges that the current detection process is unstable, increasing the scanning density of the abnormal area displayed by the local temperature gradient, and ensuring that potential problems are detected more meticulously.

The present application relates to the technical field of intelligent safety monitoring, in particular to a chemical laboratory risk early warning method and system based on a multi-modal data fusion algorithm, in the present application, the spatial gradients of multi-modal data such as gas concentration and temperature are calculated, and the coupling relationship and time delay among these gradients are analyzed, thereby realizing deep insight into the dynamic changes of the laboratory environment, no longer relying on isolated single-point threshold judgment, but evaluating stability according to the cooperative phase of heat diffusion and wet flow process, this way can effectively identify the potential unstable state caused by the combined action of multiple factors, even if each single parameter has not reached the alarm limit value, the risk can also be captured in advance, at the same time, through the aggregation analysis of adjacent unstable areas in space, the spreading trend and influence range of the risk can be revealed, thereby generating more accurate and forward-looking early warning, significantly reducing false alarms caused by non-dangerous transient fluctuations.

The present invention relates to the technical field of industrial safety and non-destructive testing, and specifically discloses a non-destructive testing optimization method based on accuracy feedback of explosion-proof equipment safety status assessment. By real-time monitoring of the beam steering angle and local temperature gradient of the explosion-proof equipment, key data is obtained using a high-precision sensor network, and advanced data analysis technologies such as clustering algorithms and fast Fourier transforms are applied to calculate abnormal eigenvalues of the beam steering angle and local temperature gradient eigenvalues to evaluate the stability of ultrasonic propagation and the consistency of the internal structure of the equipment. These eigenvalues are combined to construct a eigenvector, which is input into a support vector machine model and outputs a safety status score of the equipment. This score is used to determine whether the current detection process is in an unstable state. Once the system is determined to be unstable, the beam steering angle will be automatically adjusted to cover the abnormal area, and the scanning density of the abnormal area displayed by the local temperature gradient will be increased to ensure more detailed detection of potential problems.

The application relates to the technical field of teaching instruments, and discloses an interactive teaching instrument and a use method thereof, which comprise a supporting assembly, the top of the supporting assembly is provided with a fixing assembly, the top of the fixing assembly is provided with an adjusting assembly, one side of the adjusting assembly is provided with a display assembly, the display assembly is provided with a light-shielding assembly, the supporting assembly comprises a base, pressure sensors are arranged at the lower ends of the four corners of the base, the fixing assembly comprises a fixing plate, the adjusting assembly comprises a rotating motor arranged at the bottom of the fixing plate, the application can flexibly adjust the angle position, effectively reduce the reflection, avoid affecting the teaching effect, actively remove dust from the display component, improve the display definition, timely intervene when the whole is in an unstable state, improve the stability of the whole, effectively protect the display component when the whole is tilted, and prevent the display component from being damaged.

Method for detecting the position (S) of an accelerator pedal (2) of a motor vehicle (3), in which an accelerator pedal raw signal (7), which describes the position (S) of the accelerator pedal (2) as a function of time (t), is detected and the accelerator pedal raw signal (7) is smoothed, characterized in that half-waves (8) of the accelerator pedal raw signal (7) are determined, on the basis of the determined half-waves (8) a state of instability during an actuation of the accelerator pedal (2) is detected and the accelerator pedal raw signal (7) is smoothed if the state of instability is detected.

The utility model relates to the technical field of bottle cap production, in particular to a detection device adaptive to test dies of bottle cap dies of different bottle types, and solves the problems that in the prior art, the stable state of the bottle cap is difficult to effectively maintain by a feeding mode, so that the bottle cap is easy to displace or incline in the detection process, and the detection efficiency is high. The unstable state directly affects the detection result of the bottle cap, and the displaced or inclined bottle cap may cause that the detection probe cannot be accurately aligned with the key part of the bottle cap. A detection device adaptive to test molds of different bottle type bottle cap molds comprises a frame body, a top frame is fixedly connected to the top of the frame body, image recognition equipment is installed on the inner side of the top frame, and conveying rollers are rotationally connected to the two sides of the inner side of the frame body. The bottle cap feeding and detecting device effectively solves the problem that in the prior art, the stability of bottle caps is insufficient in the feeding and detecting process, and the stability of the bottle caps of different specifications in the conveying process is ensured through air-driven limiting adjustment of the distance and the design of the limiting inner side rollers.

The utility model discloses a portable ladder stand for building construction, a base comprises a cross rod and two supporting seats which are oppositely arranged, each supporting seat is connected with the cross rod through a sliding rod, and at least one part of the sliding rod is embedded in the cross rod and can do horizontal telescopic motion relative to the cross rod. When facing the uneven ground, namely the ground on one side is higher and the ground on the other side is lower, the supporting seat on the lower side can extend outwards through the sliding rod until the two supporting seats can be in close contact with the ground and keep stable, so that the problem that an unstable state of'three-point suspension 'easily occurs on the uneven ground is effectively solved; through the telescopic design, the ladder stand can adapt to different terrains by adjusting the structure of the ladder stand, so that a relatively stable supporting state is kept all the time, the gravity center of the ladder stand is prevented from shifting, the risk that constructors fall down due to inclination of the ladder stand in the climbing process is reduced, and the occurrence probability of high-altitude falling accidents is greatly reduced.

Retrofitting a hydroelectric power plant (4) with a waterway (2), an electric machine (6), an impeller (5) arranged in the waterway (2) and a cylinder gate, wherein the impeller (5) has an axis of rotation by which an axial (z) and a radial (r) direction are defined, and wherein the cylinder gate comprises a ring (1) and a gate chamber (3) with a housing, and wherein the ring (1) can be moved in an axial direction, and wherein the ring (1) has a projection which is designed to modify a secondary flow in such a way as to suppress unstable states of the cylinder gate at opening degrees below 30%.

The application discloses a mobile collaborative robot with a stability maintaining function, and relates to the technical field of robots.The mobile collaborative robot comprises a mobile arm, wherein the mobile arm is arranged on a stability maintaining part, the stability maintaining part is arranged on a moving part, the moving part is provided with a moving wheel, and the stability maintaining part is provided with an inspection opening.The stability maintaining part is arranged between the mobile arm and the moving part, the unstable state of the moving wheel when passing through an uneven road is filtered through the stability maintaining part, the posture information of the stability maintaining part is collected to control the corresponding movement of the mobile arm, the influence of the road on the mobile arm is reduced, and the problem that the instability of the mobile collaborative robot is transmitted to the collaborative mechanical arm when the mobile collaborative robot passes through an uneven road due to the rigid connection between the mobile collaborative robot and the collaborative mechanical arm, thereby affecting the stability of the collaborative mechanical arm is solved.

The application discloses a kind of STK account material self-checking and abnormal self-healing method based on equipment state comparison, belongs to industrial automation control and intelligent warehousing technical field, and the specific steps of the self-healing method are as follows: I: the real-time state data of each device is collected and preprocessed, and according to each state data after processing, the health degree score and state entropy value of each device are calculated;The present application can identify the sub-health and unstable state of equipment in advance, which not only ensures the production safety in case of serious failure, but also avoids unnecessary downtime caused by slight abnormalities, significantly reduces the abnormal interruption in the task execution process, and improves the accuracy and traceability of material management;At the same time, the present application can find potential problems in advance, avoid task out-of-order execution, dependency conflict and deadlock problem, effectively prevent the preemption of concurrent tasks on process resources, and significantly optimize Crane walking path, reduce the overall energy consumption of warehouse, and greatly shorten the abnormal processing cycle.

This invention relates to an autonomous navigation method for unmanned aerial vehicles (UAVs) based on attractive manifolds, belonging to the field of UAV navigation and automatic control technology. It solves the problems of incomplete functionality, low control accuracy in unstable states, slow response speed, high implementation difficulty, large computational and information requirements, low scalability, low robustness, and low flexibility in existing technologies. This invention adjusts the operating mode of the control system based on the real-time detected relative distance between the UAV and obstacles, while considering path tracking, collision avoidance, and the UAV's dynamic characteristics. It can adapt to various complex environments and improve the safety and reliability of UAVs in practical applications. It features faster response speed, lower implementation difficulty, less computational load, and fewer information requirements; it also has better adaptability to changes in model parameters, exhibiting scalability, robustness, and flexibility, and a smoother motion trajectory.

To provide a start control device and a start control method capable of shortening a start time of an arithmetic processing device such as a CPU.SOLUTION: When meeting a start condition is determined when an operation mode of an image forming device is a power saving mode, a power supply control unit supplies power to a CPU of a main control unit and an oscillator (S13, S14). The power supply control unit outputs a reset signal to the CPU of the main control unit (S15). Thereafter the power supply control unit determines (S16) whether or not an inputted clock signal is stable and when an unstable state changes to a stable state, the power supply control unit outputs a reset cancel signal to the CPU of the main control unit and starts the CPU.SELECTED DRAWING: Figure 4

The invention discloses an electronic expansion valve control method and device, a heat pump system, equipment and a medium. The method comprises the steps that current operation parameters of the heat pump system are obtained; the current operation parameters comprise the actual exhaust temperature, the current environment temperature, the current water temperature and the target exhaust temperature range; the opening range of the electronic expansion valve is determined according to the current environment temperature and the current water temperature; and the opening degree of the electronic expansion valve is adjusted according to the actual exhaust temperature, the target exhaust temperature range and the opening degree range of the electronic expansion valve, so that the actual exhaust temperature is controlled to be kept within the target exhaust temperature range, and the situation that a heat pump system is too hot and prone to being in an unstable state due to too high exhaust temperature is avoided. Therefore, the output stability of the system is improved, the service life of the system is effectively prolonged, and the maintenance cost is reduced.

The application relates to the technical field of industrial control, and provides a differential pressure balance control method and system for a plugging and draining device, which comprises the following steps: obtaining a pressure signal of the plugging and draining device, and performing segmented processing on the pressure signal; extracting characteristic parameters reflecting the fluid state from the pressure signal after the segmented processing; judging a flow mode in which the fluid is located according to the characteristic parameters; and adjusting a differential pressure balance control strategy according to the flow mode, wherein: when the flow mode is a stable state, a conventional differential pressure feedback adjustment mode is adopted; when the flow mode is an unstable state, a trend estimation is performed on the pressure signal to obtain an overall differential pressure change trend, and the opening of a control valve is adjusted according to the overall differential pressure change trend, while the adjustment speed of the control valve is limited, and the minimum opening of the control valve is maintained. The application can avoid misjudgment and excessive adjustment caused by instantaneous fluctuation of a traditional control system.

The invention discloses an engine emission control method, an engine emission control device and a vehicle, relates to the field of engine post-processing, and recognizes an efficiency unstable state of a three-way catalyst according to a monitoring value of a first characteristic parameter of engine post-processing. And when it is identified that the three-way catalyst is in the efficiency unstable state, determining an efficiency risk value representing the instability degree of the efficiency unstable state according to the monitoring value of the second characteristic parameter. And the temperature of the three-way catalytic converter is adjusted in a targeted mode according to the heat management adjusting strategy corresponding to the efficiency risk value, and / or fuel supply of the engine is adjusted according to the fuel injection strategy corresponding to the efficiency risk value, so that the three-way catalytic converter is restored to the stable efficiency state, and the conversion efficiency in the stable efficiency state is maintained. By means of the method, when it is detected that the efficiency of the three-way catalyst is unstable, corresponding measures can be taken for adjustment based on the instability degree, the robustness of the conversion rate is effectively improved, and the emission risk is reduced.

The invention discloses a link processing method and device, a storage medium and electronic equipment, and relates to the technical field of storage, and the link processing method comprises the steps that when it is monitored that an abnormal link exists in multiple links, error injection operation is executed on the abnormal link, the abnormal link is a link in an unstable state, and the error injection operation is executed on the abnormal link; the error injection operation is used for increasing a parameter value of an error parameter of the abnormal link, the data transmission rate of the abnormal link is reduced according to the parameter value of the error parameter in the process of executing the error injection operation on the abnormal link, and the parameter value of the error parameter is in negative correlation with the data transmission rate. The problem of data transmission interruption caused by unstable links in the storage system in related technologies is solved, and the technical effect of improving the reliability of the storage system is achieved.

A computer-implemented method for controls stability of a vehicle, being a truck or tractor and at least one trailer comprising at least two wheel axles and an electronically controllable suspension system. The method identifies a possible instability state of the vehicle; determines a type of an event that has caused the possible instability state; determining one or more actions comprising adjusting a load distribution between the at least two wheel axles of the trailer based on the possible instability state and based on the type of the event that has caused the possible instability state; and generates and sending a control command to the suspension system to perform the actions. The actions may comprise adjusting the load distribution between the at least two wheel axles of the trailer such that a load on a rear axle is increased and a load on a front axle is decreased.

The application provides a device stability analysis method and system, a device and a storage medium, and comprises the following steps: acquiring an action time difference of the same action of different types of products of the same device; calculating a statistical value of the action time difference, wherein the statistical value comprises one or more of an average, a mode, a median and a standard deviation; deriving an action stability index according to the statistical value; and comparing the action stability index with a preset stability index to determine the stability of the device. By comparing the action stability index value with the preset stability index value, it is determined that the device is in a stable state, a relatively stable state or an unstable state, and corresponding maintenance work is performed according to the obtained device stability state result.

The invention relates to a loader driving stability analysis method and system, and the method comprises four key links: real-time monitoring and critical threshold calculation, virtual potential field construction and threshold correction, unstable state determination and active intervention strategy, and the links form closed-loop control. The method effectively overcomes the defects of response lag and poor adaptability of a traditional method, and is characterized in that a critical dip angle threshold is dynamically adjusted, the critical dip angle threshold is corrected in real time through a virtual potential field, and key factors such as bucket load and wheel slippage are included into a stability evaluation system to correct the critical dip angle threshold through calculation of a mass potential barrier and a slippage vector. The stability limit of the loader under different road conditions and in different postures can be reflected more accurately, the hysteresis problem of a traditional fixed threshold value method is avoided, and finally, the bucket posture adjustment serves as a priority stability compensation means and is combined with speed adjustment, rapid response can be achieved at the initial stage of vehicle body instability, and the rollover risk is reduced.

The invention belongs to the technical field of single crystal silicon, and particularly relates to a single crystal silicon rod taking-out device which comprises a supporting frame. By additionally arranging the arc-shaped plates, when the crystal bar shakes after being rotated, the pair of arc-shaped plates approach the crystal bar, so that the whole range of the crystal bar is gradually reduced, the movement range is continuously reduced, then the pair of arc-shaped plates clamp the crystal bar, and after the pair of arc-shaped plates approach the limiting space towards the crystal bar, the crystal bar is clamped by the arc-shaped plates. The effect of restraining the transverse displacement movement range of the crystal bar can be achieved, shaking of the crystal bar is eliminated through limitation, meanwhile, the arc-shaped plates make contact only when the crystal bar shakes, the arc-shaped plates are located on the two sides of the crystal bar and do not make contact with the crystal bar in other time, and the crystal bar stably descends; therefore, the unstable state of the crystal bar is adjusted through the pair of arc-shaped plates to stabilize the vertical descending state, and meanwhile, the plurality of rollers are driven to rotate during descending, so that the influence on the crystal bar during guiding during descending is reduced.

The invention discloses an automatic stabilizing system for a stacker cantilever support, and relates to the technical field of stacker equipment, the system comprises the following components: a data acquisition module, a data analysis and prediction module, an automatic control module and a fault diagnosis and early warning module; the operation data of the cantilever support is acquired in real time through the data acquisition module, the data analysis and prediction module predicts the instability condition of the cantilever support by using an advanced algorithm, the automatic control module rapidly executes stable operation according to a prediction result, and compared with traditional manual monitoring and manual adjustment, the intelligent control mode has the advantages that the stability is high, and the stability is high. The unsteady state of the cantilever support can be dealt with more timely and accurately, so that the stability and safety of the cantilever support in the working process are remarkably improved, in addition, the system further has the fault diagnosis and early warning functions, early warning can be given out before faults occur, accidents are avoided, and safe operation of the stacker is further guaranteed.

The invention discloses a subsynchronous oscillation stability region division method for a steam turbine generator grid-connected system, and belongs to the technical field of power system stability analysis. The invention aims to solve the problem that the existing method cannot realize the stability region division of the steam turbine generator under different operation conditions. Comprising the steps of obtaining a state equation of the steam turbine generator and processing to obtain generalized sequence impedance; decoupling is carried out to obtain positive sequence port impedance; constructing a two-dimensional parameterized model of the grid-side impedance based on the power grid short-circuit ratio and the series compensation degree; performing frequency domain comparison on the positive sequence port impedance and the network side impedance, analyzing the intersection frequency and the phase margin of the positive sequence port impedance and the network side impedance based on amplitude-frequency and phase-frequency characteristics, and dividing the subsynchronous oscillation state of the grid-connected system into a stable state, a critical stable state and an unstable state by combining an impedance stability criterion; and determining a stable state region, a critical stable state region and an unstable state region by combining the two-dimensional parameter plane. The method is used for evaluating the stability boundary of the system under different operation conditions.

The invention relates to the technical field of air source heat pump control, in particular to an air source heat pump energy efficiency optimization control method and system. The method comprises the following steps: acquiring multi-dimensional operation data of the air source heat pump unit and performing queue preprocessing to obtain a time sliding window data sequence of each physical quantity; according to the environment temperature and coil pipe temperature data in the sequence, the environment thermal response fluctuation representing the current environment unstable state is calculated; according to the exhaust temperature, the compressor current real-time value and the corresponding benchmark reference value, a system state deviation index representing the physical performance degradation of the unit is calculated; and calculating the frequency compensation amount based on the two indexes and the return water temperature difference, and superposing the frequency compensation amount to the basic PID frequency to obtain the final driving frequency. The energy efficiency self-adaptive maintenance of the whole life cycle is realized, the system oscillation under the severe working condition is effectively inhibited through a dynamic damping mechanism, and the operation stability and the energy-saving effect of the heat pump unit are improved.

The present invention discloses a titanium alloy with both low elastic modulus and high superelasticity and a preparation method thereof, relating to the field of alloy materials. The alloy comprises 42% to 48% zirconium, 7% to 10% niobium, 0.2% to 1.5% tin, and the balance titanium. The alloy exhibits an initial tensile elastic modulus of 34 to 46 GPa and a maximum recoverable strain of 6.48 to 7.7%, combining the advantages of low elastic modulus, high superelasticity, and non-cytotoxicity. The alloy is obtained by multiple smelting in a vacuum non-consumable arc furnace. Through rational alloy component design, the martensitic transformation temperature of the β-titanium alloy is near room temperature. Consequently, the alloy is unstable when deformed at room temperature, requiring only a relatively low driving force for the transformation to induce the martensitic transformation, thus saving energy and reducing costs.

The application discloses a method and device for determining a stall current. The method comprises: obtaining a current analog signal generated by a motor for controlling a target slidable door / window to slide from an electronic control unit; segmenting the current analog signal according to a preset time window, and determining a target state based on a variation degree of the current analog signal in each time window, wherein the target state comprises a stable state or an unstable state; determining that the motor enters a stall state when the target state of the current analog signal in any two adjacent time windows is converted from the unstable state to the stable state; and collecting the current generated by the motor to obtain the stall current.

The invention discloses a laser aiming trajectory tracking training instrument in a digital unstable state, which belongs to the technical field of physical training equipment and comprises a training platform, a simulation gun, a timer, a wireless transmitter, a laser aiming module, a high-definition camera module, a data processing module and a wireless data transmission module. The training platform adopts an unstable base with a dynamic adjustment mechanism, an unstable state is provided in the form of a balance ball or a swing structure, and a laser is mounted at the top end of the simulation gun; according to the system equipment, an efficient and safe training environment can be provided for athletes, training data can be monitored in real time, and the training effect can be improved through a refined feedback mechanism. A trainee can complete high-precision shooting training in a dynamic and unstable training environment, so that the shooting skill and the capability of coping with a complex environment are effectively improved.

This invention provides a method, equipment, and medium for stability analysis of offshore wind turbines based on operating parameters, belonging to the field of new energy technology. It solves the technical problem that the operational stability of offshore wind turbines cannot be effectively monitored due to the difficulty in real-time identification of oscillation risks in weak grid environments. The technical solution is as follows: S1, collecting electrical and mechanical parameters generated by the offshore wind turbine during operation; S2, preprocessing the electrical and mechanical parameters; S3, constructing a dynamic mapping model to characterize the relationship between the wind turbine and the oscillation response; S4, calculating the integral result of the oscillation amplitude and the oscillation energy within the time window. The beneficial effects of this invention are: by directly analyzing the turbine's operating parameters, this method can promptly detect potential operational instability states, providing decision support for maintenance personnel and helping to improve the operational safety of offshore wind turbines in weak grid environments.