54 results about "Abnormal pressure" patented technology

The invention relates to the technical field of pressure detection, in particular to an oil well pressure anomaly detection method and system based on deep learning, and the method comprises the following steps: collecting a control signal and pressure data, calculating a slope difference and fluctuation to mark a sudden change point, extracting a multi-dimensional feature group to generate a training sample, and constructing a deep learning model to recognize pressure difference anomaly. The oil well pressure abnormal time period is predicted in real time. According to the method, accurate attribution of abnormal fluctuations in the oil well operation process is achieved by constructing the time sequence corresponding relation between control signals and pressure difference sudden change, the target pertinence of pressure change recognition is improved, a sliding structure extracts multi-dimensional dynamic characteristics, the capacity of capturing wellhead or underground pressure micro-amplitude abnormity is enhanced, and the training sample is combined with a control behavior label, so that the accuracy of the abnormal fluctuations in the oil well operation process is improved. The distinguishing capability of the model to different abnormal forms is optimized, the adaptability under complex working conditions is improved, a real-time prediction mechanism ensures that oil well pressure state recognition has continuity, rapidness and high confidence, and risk early warning and operation guarantee in the oil extraction process are effectively supported.

The invention discloses a shell-and-tube heat exchanger abnormity diagnosis method based on multi-parameter monitoring. The method specifically comprises the following steps that 1, temperature values and pressure values of a shell-and-tube heat exchanger tube pass inlet, all-pass connecting positions and a tube pass outlet are collected; step 2, carrying out segmented pressure difference calculation based on the collected pressure values, verifying the total pressure difference, if a verification result exceeds an error range, carrying out pressure value collection and calculation again, and if the verification result is within the error range, carrying out step 3; 3, calculating the proportion of the differential pressure of each process in the total differential pressure, then carrying out dynamic threshold judgment, and carrying out flow fluctuation alarm or carrying out the step 4 according to a judgment result; and 4, performing temperature gradient calculation based on the acquired temperature value, and diagnosing the abnormal pressure difference position as blockage or leakage based on the temperature gradient. The problem that in the prior art, due to the fact that the detection parameter is single, the accuracy of the detection result is poor is solved.

The invention relates to the technical field of data analysis, in particular to a comprehensive management system and management method for steam condensate drainage data of a vulcanizing machine. According to the comprehensive management system and method, a generative adversarial network is adopted to calculate the steam flowing node correlation degree, analyze the condensate drainage valve opening and closing influence, construct a steam hydrophobic topology network and establish a flow distribution model, and temperature gradient changes are combined; the method comprises the following steps: acquiring a steam condensate drainage state mapping structure, enhancing the global analysis capability of a condensate drainage system, analyzing steam load balance by adopting a long-short-term memory network, predicting steam supply demands, forming a steam condensate drainage intelligent regulation and control strategy, calculating pressure abnormal deviation, analyzing a steam leakage rate, predicting a steam loss trend, and detecting an abnormal switch state of an electromagnetic valve. The system stability is improved, and the energy loss is reduced by extracting the blockage characteristics of the condensate drain valve, evaluating the pressure loss of the system, improving the fault prediction capability, adjusting the opening and closing states of the electromagnetic valve and correcting the control instruction of the condensate drain valve according to the steam condensate drain intelligent regulation and control strategy and the condensate drain abnormal characteristic analysis result.

The invention discloses an anti-explosion pressure relief ball valve which comprises a pressure monitoring system and a control execution system. The pressure monitoring system is used for forming a pressure distribution model; the control execution system comprises a signal processing module used for calculating the pressure change rate; the abnormal pressure identification module is used for judging whether an abnormal pressure event exists or not according to the judgment condition; the multi-stage pressure relief control module is used for controlling the opening number of the micro-channel systems and controlling the pressure relief amount according to the relation between the current pressure and a preset threshold value; the stepped pressure relief structure comprises multiple stages of pressure relief cavities, so that the pressure relief process conforms to a pressure change formula; and the dynamic feedback control module is used for dynamically adjusting the opening amount of the micro-channel by adopting a PID control algorithm. The system has the following beneficial effects that through pressure monitoring, intelligent judgment and the multi-stage controlled pressure relief module, early recognition, accurate intervention and safe disposal of abnormal pressure events are achieved, and safety accidents such as pipeline burst and flange leakage are effectively prevented.

The invention discloses a composite fault diagnosis method for motor overload and pressure abnormity of a wind power water cooling system. The method comprises the following steps: S1, data acquisition; the collected original signal data is preprocessed; s2, constructing a lightweight system performance model, and calculating a pressure residual error; s3, extracting time domain and frequency domain features from the original signal data and the residual signals to form feature vectors; s4, performing fault diagnosis based on a machine learning model, and inputting the feature vector into a trained model; the model outputs a diagnosis result and gives a fault confidence coefficient; and S5, outputting a result, and performing early warning. Predictive maintenance is achieved, early warning can be given out at the early stage of a fault when shutdown or secondary damage is not caused, a maintenance plan can be made in advance, passive first-aid repair is changed into active planning, the non-planned shutdown time is shortened, and the availability of a wind field is improved; the unnecessary on-site inspection frequency is reduced, the excessive dependence on the qualification operation and maintenance experts is reduced, and the troubleshooting time is shortened.

The invention belongs to the technical field of data processing, and particularly relates to an intelligent analysis method and system for valve performance test data, and the method comprises the steps: constructing a dynamic sensitivity factor capable of reflecting the system stability through analyzing the change rate of a flow time sequence and the fluctuation of a current time sequence, and generating a fatigue factor in combination with a pressure range; further, an abnormal pressure peak value caused by the water hammer effect is identified and quantified, and a fatigue factor is corrected to obtain a degradation acceleration factor which can better reflect real physical wear; finally, the composite dynamic features and the traditional static features are jointly input into a GBDT model for training, so that early failure symptoms can be captured, and the accuracy and reliability of prediction of the remaining service life of the valve are improved.

The invention discloses a water pump flow control method and system, and the method comprises the steps: S1, a control system is initialized, a global impedance set is obtained through the control system, and the global impedance set comprises but is not limited to the impedance coefficients Zi, the initial pressure Qs and the descent slope K of all branches; s2, based on the global impedance set, the pulse switch time sequences of all branches are coordinated through a pulse synchronous constant-current control method, so that the whole pipe network system operates synchronously at constant current; and S3, if the pulse unit at the inlet end of any branch detects that the pressure waveform is continuously abnormal, the fault diagnosis module sends a fault alarm and a diagnosis result to the main controller, the main controller isolates the abnormal branch, and the step S2 is executed again. By means of the control method and system, it can be guaranteed that the variable-frequency water pump is started in a peak shifting mode, huge pressure impact caused by simultaneous starting and stopping of all valves is avoided, the variable-frequency water pump always works near a resonance point, output is constant, flow is stable, the system operates in a resonance state, and irrigation is more stable.

The invention discloses an overpressure protection device for a vacuum gauge, and relates to the technical field of overpressure protection of vacuum gauges.The overpressure protection device comprises a main pipe and a control module, a sealing cover is fixedly connected to the right side of the main pipe, three openings are formed in the right side of the sealing cover, and a first fixing pipe is fixedly connected to the inner wall of the opening in the upper portion of the right side of the sealing cover; an exhaust port is formed in the upper side of the middle of the first fixing pipe, a pressure valve is fixedly connected to the inner wall of the first fixing pipe, and a sealing mechanism and a pressure reduction mechanism are arranged in two openings in the lower portion of the right side of the sealing cover correspondingly. And by arranging a second fixing pipe, a telescopic rod and an elastic rod, when the air pressure rises, a mechanical displacement conversion mode can be used for synchronously amplifying and transmitting force to a pressing rod, the induction precision and response sensitivity of the piezoelectric module are enhanced, and the vacuum gauge has the characteristics that the practicability is high, and the use reliability of the vacuum gauge is effectively improved.

The invention discloses a method and a system for monitoring pressure abnormity of a fuel oil common rail pipe of a marine main engine. The method comprises the following steps: acquiring historical operation parameter data and constructing a data set; the historical operation parameter data comprises historical host load data, historical host rotating speed data and historical fuel oil common rail pressure data; historical operation parameter data are preprocessed, an SVDD model is constructed and trained based on the historical operation parameter data, the model obtains a historical normal data hyper-sphere in a three-dimensional feature space, and the center and the radius of the hyper-sphere are obtained; similarly, real-time operation parameter data collected in real time are preprocessed and then input into the model, the distance between the real-time operation parameter data and the center of the hypersphere is obtained, and the value of the distance is compared with the value of the radius of the hypersphere in historical normal data; and when the numerical value of the distance is large, it is judged that the real-time operation parameter data is within an abnormal range, the fuel oil common rail pressure of the ship main engine is in an abnormal state, and an alarm signal is triggered. The method has the effect of low error rate.

The invention discloses a heat supply system leakage positioning method and system based on pipe network pressure characteristic analysis, and relates to the technical field of heat supply pipe network operation detection, and the method comprises the steps: collecting pressure data of each pressure monitoring point, and outputting pressure time sequence data; constructing a reference pressure interval and reference pressure fluctuation intensity of each monitoring point and a reference pressure drop interval of a pipe section corresponding to the adjacent monitoring point during operation; quantitative comparison is conducted, and the monitoring points in the abnormal pressure state and the abnormal pipe sections are determined; according to the connection relation in the pipe network structure, connectivity and boundary analysis is conducted, and a leakage section corresponding to the abnormal pressure state is determined; and finally determining the specific position of the leakage in the section based on the pressure offset space distribution of each pressure monitoring point relative to the reference pressure state in the leakage section. According to the method, accurate section division and fine position positioning of heat supply pipe network leakage are realized through pressure characteristic reference modeling and space communication analysis.

The application relates to the technical field of testing devices, and specifically discloses a solid-phase extraction device which comprises a solid-phase extraction instrument box body and a top cover, the inner cavity of the top end of the solid-phase extraction instrument box body is clamped with the top cover, the bottom end of the solid-phase extraction instrument box body is fixedly connected with a support, and the inner cavity of the support is placed with a test tube. The buffer assembly can give an alarm during the buffering process, and when the abnormal pressure reaches the shielding value, the alarm can be given to remind the staff to maintain, the alarm can be given when the pressure fluctuation drives the support to shake, the staff can find in time, the risk of liquid leakage caused by test tube deformation is prevented, the dosing assembly can quantitatively dose multiple groups of samples, the amount can be adjusted according to requirements, the accuracy in the material transfer process can be ensured, in addition, the test samples remaining on the inner wall of the dosing instrument pipeline can all fall off, meanwhile, the splashing of the extraction liquid in the falling process is prevented, and therefore the accuracy of experimental data is improved.

This invention belongs to the field of petroleum exploration technology, specifically disclosing a formation pressure prediction method and system based on PSO-CNN-RF-ABKDE. The method includes: collecting logging data of deep abnormal pressure zones in the target well and adjacent wells, regional geological data, and measured pore pressure data from adjacent wells; preprocessing the acquired data; constructing a PSO-CNN-RF model; quantifying the uncertainty of the n-value prediction using the adaptive bandwidth kernel function density estimation ABKDE algorithm; outputting the n-value confidence interval by fitting the residual probability distribution; classifying the formation pressure risk level by combining the general pressure coefficient threshold for deep abnormal pressure; and substituting the n-value confidence interval into the PSO-CNN-RF model to obtain the predicted formation pressure result and mapping it to the specific formation pressure risk level. Compared with existing technologies, this invention achieves a direct mapping between prediction results and risk levels, quantifies uncertainty while clarifying control requirements, and provides a full-chain technical support of "prediction-quantification-control" for drilling safety in deep abnormal pressure zones.

The invention discloses a formation pore pressure calculation method, system, equipment and medium, and the method comprises the steps: marking collected lithologic sections and geological stratification, and selecting at least one of collected seismic horizon velocity, density logging, acoustic logging and resistivity logging as sensitive parameters to establish a normal compaction trend line of a middle-shallow normal pressure section; a correction coefficient is adjusted by using the collected pressure measurement data, and finally, a traditional Eaton method formula is improved by using the adjusted correction coefficient, and a new formation pore pressure calculation formula is established; according to the method, the normal compaction trend line is fully utilized, the distortion of the normal compaction stratum is effectively inhibited while the abnormal pressure change is highlighted, the stability is better, the distortion is less, the pressure trend of the overlying stratum does not need to be calculated, parameters are few, the calculation efficiency is high, calculation can be carried out without logging data, the application range is wider, and the method is particularly suitable for low exploration areas without wells and with few wells.

The present invention discloses a special ball valve for controlling the oil circuit of an oil motor, specifically relating to the technical field of ball valves, including a support seat, a regulating assembly provided on the support seat, the regulating assembly including an inner liner on the top of the support seat, a valve body sleeved on the outer side of the inner liner, and a guide cavity provided on the valve body. The present invention avoids abnormal pressure increase in the reinforced temporary arc chamber and the phenomenon of backflow when the medium is transported into the reinforced temporary arc chamber by transporting the medium into the return pipe through the reinforced temporary arc chamber, and adjusts the position of the discharge hole so that the discharge hole can be connected to each branch flow hole one by one. At the same time, by adjusting the position of the discharge hole, the medium can be transported to different branch pipes to facilitate the regulation of the medium transport direction. It is easy to quickly switch the medium transport direction while blocking the remaining branch flow holes, thereby improving the convenience of medium diversion and transport.

The invention relates to the related technical field of containers for material storage or transportation, in particular to an anti-explosion and anti-leakage gas chemical raw material safe storage container which comprises a center cylinder, a material storage cavity is formed in the center cylinder, and a first restraining cylinder and a second restraining cylinder are sequentially and coaxially arranged on the outer side of the center cylinder at intervals. A safety cavity is formed between the first restraining barrel and the center barrel, a releasing cavity is formed between the first restraining barrel and the second restraining barrel in a sealed mode, and a protection assembly is fixed to the top of the center barrel in a bolting mode. Through the coaxial multi-layer structure of the center cylinder, the first constraint cylinder and the second constraint cylinder, a triple protection system of the storage cavity, the safety cavity and the release cavity is formed, and the multi-stage pressure relief mechanism of the main safety valve and the first safety valve and the dynamic volume adjustment of the expansion sealing piece are matched; and pressure abnormity caused by composite working conditions such as bumping, collision and exposure in the transportation process can be effectively handled, and the leakage risk of gaseous chemical raw materials is reduced.

This invention relates to a method and device for detecting material leakage from injection molding machine nozzles, belonging to the field of detection technology. It includes: responding to a fully automatic machine signal; continuously acquiring the current thermocouple temperature and injection pressure values ​​of the nozzle; setting an abnormal temperature; comparing the thermocouple temperature with the abnormal temperature to determine if the nozzle is currently in an abnormal temperature state; determining if the nozzle is currently in an abnormal pressure state based on the injection pressure value; and determining if the nozzle is simultaneously in an abnormal temperature and abnormal pressure state, triggering an alarm and / or stopping the machine. This invention achieves the effect of effectively detecting material leakage from injection molding machine nozzles using only two key parameters—thermocouple temperature and injection pressure—without requiring a large number of additional, highly sophisticated sensors, thus significantly reducing detection costs.

The application discloses a pressure control system for gas fuel supply, a controller, a communicator, a monitoring mechanism and a control mechanism, the controller is electrically connected with the communicator, the monitoring mechanism and the control mechanism respectively, the monitoring mechanism is arranged along the laying path of the liquefied natural gas pipeline in sequence, so that the monitoring mechanism monitors the pressure values in each pipe section in the liquefied gas pipeline in sequence and sends the pressure values to the controller; the control mechanism is arranged along the laying path of the liquefied natural gas pipeline in sequence, so that the control mechanism controls the communication of each pipe section in the liquefied natural gas pipeline, and the pipe section with an abnormal pressure value is closed; the controller is used for controlling the control mechanism according to the pressure values in each pipe section, and after the pipe section with the abnormal pressure value is closed, the communicator sends inspection information to an external terminal. In the technical scheme, the liquefied natural gas pipeline is monitored in real time, accidents can be quickly investigated, and the normal operation of the fuel supply system is effectively ensured.

The invention relates to the technical field of abnormal detection of pump turbines, and discloses a method and a product for determining abnormal pressure pulsation of a lower cavity of a runner of a pump turbine, a characteristic frequency set and a signal characteristic data set are identified by combining a fast Fourier transform method and an abnormal identification method, and the spectral analysis precision is improved. Furthermore, the wave velocity and the wavelength are calculated based on variational mode decomposition and phase analysis, and high-precision measurement of the propagation velocity of the pressure wave is achieved. Furthermore, through comparison of frequency, amplitude and wavelength characteristics, an abnormal state judgment result is determined, and the problem of fault positioning fuzziness is solved. Furthermore, dynamic threshold early warning is realized by utilizing the target fault diagnosis model, and the abnormal pressure pulsation attribute of the runner lower cavity of the pump turbine is positioned, so that real-time diagnosis and fault positioning of the abnormal pressure pulsation of the runner lower cavity are realized, and the operation safety and the service life of the unit are improved.

The invention discloses a load power control method for a horizontal spiral discharging filter type centrifugal machine, relates to the technical field of automatic control of separation machinery, and aims to solve the problems that real-time dynamic power adjustment and operation efficiency improvement are difficult to realize, and adjustment and control lag and load deviation exist. The continuous discharging pressure of the horizontal spiral discharging filtering type centrifugal machine is detected, abnormal pressure is recognized based on a preset pressure threshold value, the number of intervals of the abnormal pressure is counted, the pressure abnormal ratio is calculated by combining the preset total duration and the low-pressure duration of the discharging process of the total discharging time, and the filtering mode is judged to be a low-pressure low-frequency type or a low-pressure high-frequency type. And when the centrifugal machine is in the low-voltage high-frequency type, the discharging efficiency is analyzed and the regulation and control proportion is calculated by combining the filtering area and the outlet flow change amplitude, whether the load power is increased or not is judged according to the regulation and control proportion, and dynamic regulation and control of the power are achieved, so that the discharging efficiency and the operation stability of the centrifugal machine are effectively improved.

The invention relates to a method, device and equipment, and the method comprises the steps: arranging a pressure taking end in a sealing cavity, collecting and outputting a pressure signal to an external pressure monitoring unit, and enabling the external pressure monitoring unit to be provided with a power supply loop and a pressure signal collection channel which are independent of an airtight detector, the interlocking output channel is electrically connected with an interlocking component which is used for stopping detection, cutting off gas supply and releasing pressure; based on a pressure signal collected by an external pressure monitoring unit, the pressure in the sealing cavity is monitored in real time, and whether the pressure exceeds a preset safety threshold value or not is judged; when the external pressure monitoring unit judges that the pressure exceeds a preset safety threshold value and the airtight detector does not output alarm state information, the interlocking output channel drives the interlocking component to execute the steps of stopping detection, cutting off gas supply and releasing pressure so as to terminate the abnormal pressure increasing process. The redundancy and safety of the system are improved, and equipment damage and safety accidents are effectively prevented.

The present invention relates to the field of abnormal monitoring technology, specifically to a sensor-based composite insulation board production process abnormal monitoring system, the system includes a pressure data acquisition module, a local pressure anomaly detection module, a stress hysteresis analysis module, a pressure accumulation evaluation module, and an abnormal area classification module. In the present invention, by calculating the pressure change rate and its deviation, the abnormal pressure accumulation diffusion area in the composite insulation board production process is accurately identified, and the area with obvious delay in pressure response is screened by the rate change hysteresis value, which is helpful to identify the force abnormality caused by uneven pressure transmission, compare the pressure accumulation ratio of adjacent areas, combine the pressure hysteresis and cumulative trend analysis, comprehensively evaluate the pressure characteristics of the abnormal area, distinguish short-term, delayed and long-term pressure anomalies, and improve the accuracy of abnormal identification, so that the abnormal warning does not only stay at the problem discovery level, but also provides more effective data support for optimizing process adjustments.

The application relates to a ball hinge wear test method and device and relates to the technical field of part testing tools, which comprises the following steps: acquiring a current machining number and a current wear gap value; acquiring a current wear number and pressure distribution information; extracting a pressure number and a number pressure value corresponding to the pressure number from the pressure distribution information; sorting the number pressure value to obtain a maximum pressure value and a minimum pressure value; calculating a maximum pressure difference value according to the maximum pressure value and the minimum pressure value; generating wear detection information according to the current machining number and the current wear number, and outputting the wear detection information; obtaining an abnormal pressure area according to a pressure number corresponding to the maximum pressure value; generating pressure abnormal information according to the abnormal pressure area and the maximum pressure value, and outputting the pressure abnormal information. The application has the effect of improving the accuracy of ball hinge wear test.

This invention discloses a method, control device, and oil storage equipment for monitoring abnormal pressure in a storage tank. The method for monitoring abnormal pressure in a storage tank includes: acquiring the internal air pressure value and the external air pressure value of a first storage tank; and subtracting the internal air pressure value from the external air pressure value to obtain a pressure difference P. △1 When P △1 If the pressure is less than -P1 and a first set time has elapsed, the internal and external pressure values ​​of the first storage tank are acquired again. The pressure difference is calculated by subtracting the internal pressure value from the external pressure value. If the difference is still less than -P1, a first alert message is sent to remind the breather valve that it is not breathing properly. This improves the safety of the storage tank operation.

The invention belongs to the technical field of inflatable film structure health monitoring and state evaluation, and provides an inflatable film structure air pressure abnormity monitoring method for distinguishing environment temperature change and gas leakage. According to the method, firstly, under the conditions that the structure is well sealed and gas leakage does not exist, a finite element analysis model of the inflatable film structure is established and corrected through measured data, theoretical values of internal air pressure of the structure under different temperature working conditions are obtained, then a temperature-air pressure mapping relation is established, and a theoretical air pressure calculation module is formed; in the actual operation process of the structure, internal temperature and air pressure data are collected in real time, a theoretical air pressure value under the corresponding temperature condition is obtained based on the theoretical air pressure calculation module, the theoretical air pressure value is compared with actually-measured air pressure, and air pressure deviation is calculated; by setting the air pressure deviation threshold value and the time window, the air pressure deviation value and the continuity of the air pressure deviation value are jointly judged, so that normal air pressure fluctuation caused by environment temperature change and abnormal air pressure change caused by gas leakage are effectively distinguished, and accurate recognition and early warning of tiny leakage of the inflatable film structure are achieved. According to the invention, the risk of misjudgment caused by temperature interference can be reduced, and the reliability and safety of air pressure monitoring of the inflatable film structure are improved.

The invention relates to the technical field of automobile paint conveying, in particular to an automobile paint conveying pressure regulation and control method and system based on flow self-adaption. According to the method, flow data under all conveying actions are monitored in real time, pressure analysis is conducted in combination with historical flow, and abnormal pressure actions are recognized; meanwhile, a mass offset vector is constructed based on the spraying film thickness uniformity and the paint adhesive force, and quantitative judgment of the spraying quality is achieved; performing supervised machine learning by using historical flow data, a quality offset vector and a conveying working parameter set, and establishing a regulation and control optimization model; starting operation according to a preset parameter set, and if quality abnormity or abnormal pressure action occurs, dynamically adjusting parameters based on the model; otherwise, maintaining the current parameters to run continuously. According to the method, cooperative self-adaptive regulation and control of the flow and the pressure are achieved, the spraying quality stability is improved, energy consumption and the defect rate are reduced, and intelligentization of the coating process is promoted.

An intelligent diagnosis method for abnormal inlet pressure of high-temperature water in a locomotive diesel engine includes the following steps: obtaining the numerical values of the inlet pressure of high-temperature water in the diesel engine, the outlet pressure of high-temperature water, the rotational speed of the diesel engine, and the inlet pressure signal of the intermediate cooling water; when the diesel engine is operating at a certain rotational speed, if the inlet pressure P<subgt;in< / subgt; of the high-temperature water in the diesel engine is less than the low threshold ΔP<subgt;Hin< / subgt> of the inlet pressure of high-temperature water at this rotational speed and lasts for a certain period of time, it is determined that there is abnormal pressure at the inlet of high-temperature water; based on the numerical values of the outlet pressure of high-temperature water and the inlet pressure signal of the intermediate cooling water, by comparing the numerical values of the outlet pressure of high-temperature water, the rotational speed of the diesel engine, and the inlet pressure signal of the intermediate cooling water with their respective thresholds in sequence, the cause of the fault that causes the inlet pressure of high-temperature water in the diesel engine is judged. This method realizes the intelligent diagnosis of abnormal high-temperature water pressure, clarifies the cause of pressure abnormality and fault location, provides targeted operation and maintenance suggestions, and displays them in the on-vehicle diagnostic system, thereby improving the efficiency of operation and maintenance inspection.

The invention relates to the technical field of intelligent control, and discloses a cooking control method and device and a cooking utensil, the method is applied to the cooking utensil, and the method comprises the following steps: obtaining the current temperature, the current pressure and the current flow of the cooking utensil in response to a cooking function starting operation of a user on the cooking utensil; based on the current temperature, the current pressure and the current flow, whether an air outlet of the cooking utensil is blocked is judged, and the air outlet blocking condition is obtained; and controlling the cooking utensil to execute corresponding actions according to the air outlet blockage condition. Whether the air outlet of the utensil is blocked or not is judged on the basis of the current temperature, the current pressure and the current flow of the cooking utensil, the accuracy and reliability of blockage recognition can be greatly improved, an accurate basis is provided for executing different actions by the utensil subsequently, safety accidents caused by abnormal pressure rise are avoided from the source, and the user experience is improved. Potential safety hazards are eliminated, the cooking effect can be considered by reasonably adjusting the cooking state, and then the cooking control efficiency and the user experience are greatly improved.

The present invention discloses a method for analyzing the causes of abnormal pressure in high-temperature and high-pressure buried hills, comprising the following steps: determining the Raman spectrum, fluid inclusion homogenization temperature, burial history and thermal history map of methane inclusions in the high-temperature and high-pressure buried hill reservoir to be analyzed; determining the paleopressure at the time of methane inclusion capture, obtaining the inclusion capture time, and calculating the paleopressure coefficient at the time of capture; establishing a two-dimensional profile numerical simulation model of the high-temperature and high-pressure buried hill reservoir, and correcting the model according to the logging pressure coefficient and the inclusion paleopressure coefficient to obtain a reliable numerical simulation model; restoring the pressure evolution history according to the numerical simulation model, tracking the pressure evolution characteristics of the hydrocarbon source rock, transport system and buried hill reservoir, and analyzing the causes of abnormal pressure in the buried hill in combination with parameters such as sedimentation rate, hydrocarbon generation rate and hydrocarbon generation amount, so as to effectively judge the causes of abnormal pressure in the high-temperature and high-pressure buried hill gas reservoir, with reliable results, and providing a reliable reference value for the exploration and development of this type of oil and gas reservoir.

The invention discloses an exception handling method and device, a storage medium and electronic equipment, and relates to the technical field of air conditioners, the exception handling method is suitable for a liquid cooling air conditioner, and the liquid cooling air conditioner comprises a liquid cooling system; the method comprises the following steps: receiving liquid inlet and outlet pressure and a liquid pump state in the liquid cooling system; when the state of the liquid pump is a running state, the pressure difference of the inlet and outlet liquid pressure is calculated; according to the abnormal pressure range where the pressure difference is located, the abnormal flowing state of cooling liquid in the liquid cooling system is determined; and executing a preset exception handling action corresponding to the exception flow state. The cooling liquid flowing abnormity processing effect of the liquid cooling air conditioner can be improved, and the operation reliability of the liquid cooling air conditioner is improved.

The present invention discloses an intelligent remote transmission pressure gauge, which relates to the technical field of pressure sensors and includes a pressure gauge body. A threaded installation foot is fixedly connected to the bottom surface of the pressure gauge body. A scale plate and a pointer are installed on the top surface of the pressure gauge body. A pressure detection mechanism is arranged inside the pressure gauge body, and the pressure detection mechanism is used to detect normal pressure. A pressure buffer mechanism is arranged between the pressure gauge body and the threaded installation foot, and the pressure buffer mechanism is used to detect abnormal pressure. A control module is loaded on the pressure gauge body. The control module collects pressure data through the pressure detection mechanism, and the pressure buffer mechanism automatically controls the pressure detection mechanism based on the pressure data, so that the pressure detection mechanism automatically switches to the pressure buffer mechanism for pressure collection. The enclosure of the pressure detection mechanism helps to protect the collection accuracy of the pressure detection mechanism and ensure the service life of the pressure detection mechanism. The segmented collection of the pressure detection mechanism and the pressure buffer mechanism ensures the accuracy of data collection of the intelligent remote transmission pressure gauge.