203 results about "Pressure curve" patented technology

The invention relates to the technical field of injection molding quality monitoring, in particular to a real-time monitoring method and system for injection molding production quality. The method comprises the following steps: acquiring a standard pressure curve and a standard temperature curve of each production stage in each injection molding production cycle; calculating the local intensity of each sampling moment; obtaining an abnormal fluctuation coefficient of each sampling moment, and constructing a multi-dimensional coupling dynamic weight of each sampling moment; multiplying the abnormal fluctuation coefficient by the multi-dimensional coupling dynamic weight to obtain a weighted dynamic fluctuation curve; integrating the weighted dynamic fluctuation curve to obtain a form deviation index; and performing anomaly detection on the current production cycle based on the form deviation index. And the monitoring precision of injection molding production is improved.

The invention discloses an intelligent control method and system for limb pressurization equipment, and relates to the technical field of intelligent control. The current working state of the limb pressurization equipment is determined according to multiple pieces of working data of the limb pressurization equipment; the training report of the target limb is determined according to the current working state of the limb pressurization equipment, the multiple training pressure items and the overall form of the target limb, and the accuracy of the training report of the target limb is improved. Determining a plurality of training features according to the detection of the training report, and determining a pressure curve of the target limb according to the plurality of training features, the pressure condition of the target limb and the age of the user; determining an intelligent control event of the limb pressurization equipment based on the pressure curve of the target limb and the current working state of the limb pressurization equipment, and determining a dynamic early warning system of the limb pressurization equipment according to the intelligent control event, the abnormal signal of the limb pressurization equipment and the current body state of the user, and the accuracy of the dynamic early warning system of the limb pressurization equipment is improved.

The invention relates to the technical field of process control, in particular to an injection molding process optimization method and device, computer equipment and a storage medium, and the method comprises the following steps: obtaining stress signals of four tie bars of an injection molding machine, calculating a total mold locking force, and preprocessing the stress signals through temperature compensation and moving average filtering; real-time mold cavity pressure is calculated based on a mold filling stage linear model, a pressure maintaining stage quadratic function model and a cooling stage exponential attenuation model triggered by an injection molding machine control signal; generating a standard curve template with a confidence interval according to the characteristic parameters of the qualified sample, and dynamically updating the standard curve template; and comparing the current pressure curve with a standard template output quality judgment result in real time, and triggering automatic parameter adjustment to form closed-loop control. The device and the method have the effect of solving the problems of high cost, poor compatibility and difficulty in maintenance when the pressure of the die cavity is directly measured.

The invention discloses a dioptric scleroderma cataract dynamic intraocular pressure stable control ultrasonic emulsification system adaptive to a dual-channel operation, which comprises a host control unit, an ultrasonic emulsification handle, a perfusion and suction system, an intraocular pressure monitoring unit, a pressure balance module and a scleroderma fragmentation module, through cooperation of the intraocular pressure control module and the two-way operation type adaptive control module, a high-precision filling valve and a closed-loop suction pump are synchronously adjusted in real time according to anterior chamber built-in and external monitoring fusion data, and intraoperative intraocular pressure fluctuation is controlled within + / -2 mmHg; through pulse modulation and a self-adaptive negative pressure curve of the hardcore fragmentation enhancement module, the stability of the anterior chamber is ensured while the hardcore fragmentation efficiency is improved; fluid dynamics and energy parameters can be automatically optimized according to conventional incisions or micro incisions; according to the system, the anterior chamber stability problem in the high-difficulty cataract surgery is solved.

The invention provides an intelligent adjusting method and system for a steel pipe hydrostatic pressure valve, and relates to the technical field of equipment control, and the method comprises the steps: obtaining the specification parameters of a to-be-tested steel pipe; the volume of the steel pipe is calculated according to the specification parameters, adjusting parameters are dynamically determined according to the volume and the wall thickness of the steel pipe, meanwhile, a target pressure value is set according to a preset pressure curve, and in the hydrostatic pressure testing process, pressure signals and flow signals in the steel pipe are collected in real time; comparing the pressure signal with a set target pressure value to obtain a pressure deviation, and integrating the pressure signal and the flow signal which are acquired in real time into a group of multidimensional discrete data sequences according to a sequential relationship. According to the invention, accurate, stable and automatic closed-loop control of the pressure in the hydrostatic pressure test process of the steel pipe is realized.

The invention discloses a LoRa-based automatic pressure-regulating water feeder for breeding and a control method thereof. The method comprises the following steps: a data acquisition module acquires waterline breeding data information; data and instruction transmission among the data acquisition module, the data analysis module and the instruction generation and execution module is carried out through the LoRa communication technology; according to the poultry day age and the waterline capacity factor, a reference pressure instruction is calculated through an S-shaped reference pressure curve, meanwhile, the instantaneous flow is monitored in real time, the drinking active period is recognized, and a dynamic compensation instruction is generated to cope with the short-term drinking peak; and according to a superposition result of the reference pressure instruction and the dynamic compensation instruction, a final target pressure instruction is generated and adjusted to the target water pressure. Through automatic and intelligent water supply management, water supply pressure can be automatically adjusted according to growth stages and water drinking behaviors of poultry, continuity and stability of water supply are ensured, breeding efficiency and water supply precision are remarkably improved, and poultry stress response caused by unstable water supply is reduced.

The invention provides a plastic mold intelligent optimization system and method based on digital twinning. The method comprises the steps that a digital twinning model integrating mold cavity geometry and an injection molding machine hydraulic device is established; time sequence data of cavity pressure and screw movement in the filling and pressure maintaining stage are used as input, and PVT characteristic parameters and melt leading edge viscosity attenuation coefficients of the polymer melt in the current production period are identified and updated on line; on the basis of the PVT characteristic parameters and the melt front edge viscosity attenuation coefficient, predicting and generating a dwell pressure curve required for achieving a predefined cavity pressure balance curve in the next period; in the pressure maintaining stage of the next production cycle, the amplitude of the pressure maintaining pressure curve is adjusted according to the dynamic deviation of the cavity pressure detected in real time and the cavity pressure balance curve, a compensation control signal is output to an injection molding machine executing mechanism, and self-adaptive closed-loop adjustment of the cavity pressure is achieved. Based on the above scheme, feedforward optimization based on material characteristics and feedback control of AI disturbance can be realized.

The invention discloses a method for inverting the equivalent elastic modulus of a coating based on a physical experiment and finite element simulation, and belongs to the technical field of material mechanics coating performance testing, and the method specifically comprises the following steps: S1, preparing to-be-tested samples of a matrix and the coating, and determining geometric and material parameters; s2, performing a physical three-point bending experiment at a to-be-measured temperature, and recording displacement and pressure data; s3, establishing a finite element model, endowing the coating with an elastic modulus initial assumed value, and performing simulation; s4, constructing and comparing displacement-pressure curves of a physical experiment and simulation; and S5, the elasticity modulus of the coating is adjusted through iteration until the two curves are consistent in the preset tolerance range, and the elasticity modulus at the moment is the equivalent elasticity modulus of the coating. Accurate measurement of the equivalent elastic modulus of the coating in normal-temperature and high-temperature environments is achieved, errors caused by direct measurement at high temperature are avoided, the experiment process is simple, and engineering application is easy.

The invention discloses an intelligent clothing design and template generation method and system, and relates to the technical field of clothing intelligent plate making, and relates to multi-physics field modeling, dynamic simulation, reverse optimization and iterative output technologys.The method comprises the steps that a biomechanical human body model containing skeletal muscle groups and a multi-physics field coupling model of initial clothing piece templates and fabric parameters are constructed; defining a target pressure curve; driving a human body to execute preset actions, and calculating a dynamic pressure field and a wrinkle discomfort index through explicit dynamics; constructing a loss function fusing the pressure goodness of fit and the wrinkle index, solving a gradient by using an adjoint method, and accelerating reverse optimization in combination with a physical information neural network agent model; the system comprises corresponding function modules, parameters can be automatically adjusted according to the motion posture, it is ensured that the dynamic pressure is always close to a target curve, and the functionality and comfort level of clothes are improved.

The application discloses a pressure curve combined air separation variable pressure intelligent adsorption blowdown method, system and device, relates to the intelligent blowdown technical field.The pressure curve combined air separation variable pressure intelligent adsorption blowdown method, system and device, comprising the following steps: S1, real-time acquisition operation state data, and pretreatment is carried out to operation state data;S2, operation state data is analyzed to pressure disturbance intensity;S3, through real-time analysis and feature extraction to pressure curve;S4, operation state data is predicted to start-stop risk;S5, comprehensive operation state data, pressure disturbance intensity analysis result and start-stop risk prediction result execute blowdown control instruction.The air compressor and variable pressure adsorption system lack linkage control based on pressure change, blowdown is easy to cause pressure fluctuation and frequent start-stop, which leads to energy consumption increase and equipment wear, and the existing control mode lacks feedforward regulation mechanism.

The application discloses a multifunctional air bed quick detection device and method, the device comprises a cushion tool, a host tool, and a multi-cavity socket; the cushion tool is internally provided with a plurality of small air bags and is connected to different air paths respectively, and is used for simulating a plurality of components of the cushion; the host tool comprises an air pump, a main control panel, a display screen, a plurality of electromagnetic valve groups, and a plurality of pressure sensor groups; the working port of each electromagnetic valve group is connected to a corresponding small air bag; each pressure sensor is integrated on the main control panel and is connected to a corresponding electromagnetic valve group, and is used for detecting a real-time pressure value; and the display screen is used for presenting an inflation pressure curve and a fault judgment result. The application internally provides a micro air bag in the cushion tool to simulate each functional cavity of the bed, integrates the air pump, the valve group, the multi-path sensor and other devices in the host tool, and is used independently, so that it is not necessary to detect the whole air bed as a whole to position whether there is a problem such as a cushion leakage, and the detection period is effectively shortened; meanwhile, the whole size is small and compact, and is convenient for relevant personnel to carry.

The invention relates to a method for modeling an input current of a pump (110). The method comprises the steps of: (i) controlling the pump (110) to pressurize at least a portion of the evaporation system (100), (ii) determining a pressure profile in the evaporation system (100); and (iii) modeling a curve (350) of the input current of the pump (110) on the basis of the pressure curve by means of a model. The invention also relates to a corresponding controller (120).

The application relates to the technical field of carbon fiber die forming of automobile hubs, in particular to a production control system and method for carbon fiber die forming of automobile hubs, which comprises a pressure coordination control module, a temperature field dynamic adjustment module, a defect prediction and compensation module and a multi-source data tracing module. Through segmented pressure curve and temperature-pressure coupling control, combined with multi-source data collected by a distributed sensor array, accurate regulation and control and abnormal tracing in the forming process are realized. The deformation compensation and exhaust control submodule improves process stability, and space-time data modeling locates the root cause of the abnormality, thereby ensuring product quality. Through the cooperative design of hardware and algorithms, the application solves the problems of poor material characteristic adaptability, unstable deformation control and low process quality tracing efficiency, and improves the precision and reliability of carbon fiber hub production.

The application provides a train emergency braking system performance degradation trend detection method, device and medium, the method collects brake cylinder pressure in each emergency braking process in real time, forms brake cylinder pressure curves of each emergency braking, extracts characteristic values of brake cylinder pressure curves of each emergency braking, calculates degradation factors of each emergency braking according to predetermined characteristic reference values and characteristic values of each emergency braking, and detects train emergency braking system performance degradation trend according to the degradation factors of each emergency braking. The method of the application is based on brake cylinder pressure in each emergency braking process, calculates degradation factors of each emergency braking, detects train emergency braking system performance degradation trend according to the degradation factors of each emergency braking, improves the accuracy of degradation detection, realizes continuous monitoring of braking system performance, and improves the safety of train travel and maintenance efficiency.

The invention discloses a drug-coated prostate balloon dilatation catheter control system, relates to the technical field of medical instruments, and aims to solve the technical problems of uncontrollable drug release, extensive dilatation process and lack of quantitative evaluation in existing drug balloon therapy. The system integrates a high-precision pressure sensing module, a micro piezoelectric pump control module, a man-machine interaction module and a data processing module. The system carries out real-time closed-loop control on the internal pressure of the balloon through a self-adaptive PID algorithm, and precise execution of a preset pressure curve is achieved. The innovation of the method lies in that a drug release quantitative estimation model based on pressure-time integration (AUC) is created for the first time, the model can calculate and display the estimated drug release amount in the treatment process in real time, and physical operation parameters are directly associated with biological effects; the device has the effects of realizing accurate and constant control of the dilatation pressure and improving the operation safety.

The present disclosure provides to generate ground truth data for training a machine learning (ML) model to infer pressure information (e.g., a pressure curve, a pressure ratio, or the like) for a cardiac artery from border segmentations generated from images of the cardiac artery. The ground truth data can comprise vessel and / or lumen segmentations for several cardiac arteries and associated pressure information for the cardiac arteries. The vessel and / or lumen segmentations can be generated from images from different image modalities (e.g., IVUS, angiographic, CT, etc.). Further, some of the associated pressure information can be based on measured pressure information (e.g., using a pressure sensing catheter) while other associated pressure information can be derived from the vessel and / or lumen border segmentations using numerical analysis techniques (e.g., CFD, or the like).

The invention discloses a thermal deformation control method for hot gas bulging forming of ultrahigh-strength steel. According to the method, the temperatures of a fillet area and a central area of a mold are controlled to be lower than the temperature of a non-deformation supporting area in the axial material supplementing and radial forming stage; bulging is conducted through a dynamic air pressure curve, the strain rate is inversely calculated in real time based on the wall thickness measured through laser, and the strain rate is stabilized within the critical range through closed-loop feedback; meanwhile, the temperature of the pipe blank is monitored in real time through a thermal infrared imager and compared with a target value, and the deviation is controlled within + / -5 DEG C by adjusting a mold temperature control unit; according to the method, the dynamic air pressure curve is introduced and is cooperatively controlled with the strain rate in real time, so that the deformation rate of the material in the whole bulging process is always stabilized in the optimal critical plasticity interval, the deformation capacity of the ultrahigh-strength steel at the high temperature can be fully exerted, the uniformity of wall thickness distribution of a component can be greatly improved, and the deformation rate of the ultrahigh-strength steel at the high temperature can be improved. And local excessive thinning or fracture caused by out-of-control strain rate is avoided.

The invention relates to the technical field of book binding machinery, in particular to book double-fillet cutting equipment based on image recognition and a working method.The book double-fillet cutting equipment is characterized in that a to-be-cut book is placed on an operation table, an operator puts the hand into a guide groove of the operation table, the to-be-cut book is pushed forwards, and then the to-be-cut book is cut; after the image acquisition unit determines that the to-be-cut book reaches a preset position, the equipment is started, the upper pressing plate is pressed downwards to complete one-time double-fillet cutting of the to-be-cut book, and whether the to-be-cut book is cut qualified or not is judged according to a fitting value and fillet defect parameters; selecting a cutting strategy for the unqualified to-be-cut book, including secondary cutting of the book after the primary cutting; according to the book cutting device, the guide groove is formed, the dislocation problem of the to-be-cut book is solved, and through cooperative judgment of the pressure curve fitting value and the fillet defect parameters, the cutting quality is accurate, and the percent of pass of cut products and the cutting efficiency are improved.

This invention discloses an intelligent calculation method for the thermal compression ratio of a diesel engine based on machine learning, comprising the following steps: S1, acquiring diesel engine thermal operation data and generating a state data sequence; S2, performing continuous-time state encoding on the state data sequence to construct a state representation sequence; S3, performing feature contribution analysis on the state representation sequence to generate a correlated feature sequence; S4, performing state correlation propagation and compression ratio optimization calculation on the correlated feature sequence to obtain a predicted compression ratio sequence; S5, constructing a theoretical pressure curve and an in-cylinder pressure curve based on the predicted compression ratio sequence, and calculating the curve deviation sequence; S6, performing feedback updates based on the curve deviation sequence and outputting the calculation results. This invention, combined with dual-state flow liquid neural networks, possesses advantages such as strong adaptability to thermal engine states, high accuracy in compression ratio calculation, high stability in complex operating condition analysis, and strong continuous dynamic optimization capability.

A method for monitoring a gas system comprises determining a fuel mass flow rate requirement of a consumer system (e.g., fuel cell system comprising a fuel cell assembly), closing a first valve device in order to interrupt a gas feed from a tank into a high-pressure pipe system connecting the tank to the consumer system, capturing a pressure curve in the high-pressure pipe system while the first valve device is closed, in particular by means of a pressure sensor, determining a theoretical actual mass flow rate in the high-pressure pipe system on the basis of the captured pressure curve, comparing the theoretical actual mass flow rate in the high-pressure pipe system with the determined fuel mass flow rate requirement of the consumer system, and generating an error signal by means of a control device if the theoretical actual mass flow rate deviates from the fuel mass flow rate requirement by more than a threshold value.

The embodiment of the invention provides key mechanical property full-automatic detection equipment, and the equipment comprises a switching device which comprises a switching driver and a bearing platform which are connected with each other, and the bearing platform can drive a mobile phone structural member to sequentially circulate among a plurality of stations under the driving of the switching driver; the multiple groups of detection devices are respectively corresponding to hand feeling tests of different keys, each group of detection device comprises two detection mechanisms, the two detection mechanisms are respectively used for performing pressure detection on two detection points of the same key, each detection mechanism comprises a detection driver and a pressure sensor, the detection driver is connected with the pressure sensor, and the pressure sensor is connected with the detection driver. And the pressure sensor can be driven to press the corresponding detection point and is used for acquiring a pressure value in real time. By means of the arrangement, full-automatic hand feeling detection of the multiple keys can be achieved, meanwhile, whether the hand feeling of the keys meets the expectation or not can be comprehensively judged according to the pressure curves of the two detection points, and the reliability of the detection result is improved.

The application discloses a kind of full-size non-metal reinforced flexible composite pipe life prediction method, belong to non-metal reinforced flexible composite pipe life prediction and its evaluation technical field, solve the technical problem that when flexible composite pipe life prediction is carried out in prior art, great workload, test cycle is long, effective data is uncontrollable in test process.It is disclosed in the method that six pressures are selected under each temperature condition at three temperature conditions, the pipe failure time under each pressure value is obtained, then the pipe failure time and pressure curve under different temperature conditions and corresponding linear equation are made, 50% of the limit pressure strength of non-metal pipe in full-size oil and gas field environment under room temperature condition is taken as threshold and substituted into the above linear equation, corresponding time is obtained, finally non-metal reinforced composite pipe temperature-time Arrhenius relationship diagram is established, and the service life of pipe material can be accurately predicted through service temperature, to provide basic support for long-term safe application of full-size oil and gas field environment non-metal pipe.

The application provides a pump station group scheduling system and method based on digital twinning, and relates to the technical field of pump station scheduling.The pump station group digital twinning model is constructed according to the bearing temperature curve, the flow curve and the pump cabin pressure curve when the rated power works in history, the solving condition I, the solving condition II and the solving condition III are set according to the task quantity and the task time, the scheduling quantity that each pump station should obtain is solved in MATLAB, the scheduling quantity is simulated in the pump station group digital twinning model, the simulated running state is obtained, the running state score is constructed, the health state score is constructed according to the data of the pump station, the ability of each pump station to complete the task is judged by analyzing the order of the running state score and the health state score, if there is a situation that cannot be completed, the scheduling quantity is redistributed, the failure caused by the overload operation of the pump station is avoided, and the smooth progress of the scheduling task is ensured.

The invention relates to a forging return stroke electro-hydraulic system adopting discrete liquid volume units and a control method.The system comprises a plurality of oil tanks connected with a controlled pressure containing cavity in parallel at the same node, and the first end and the second end of each oil tank are connected with a reversing valve and a one-way valve correspondingly to form a volume unit capable of being independently gated; all the oil tanks jointly form a parallel oil tank group; the plunger type cylinder is connected with a node of the parallel oil tank set, oil in the plunger type cylinder flows into the return oil tank to be compressed when the hammer head enters, and oil in the return oil tank flows into the plunger type cylinder to provide return force for the hammer head when the hammer head retreats. According to the working frequency requirement, the forging force requirement and the oil elasticity modulus fluctuation condition of the hammer head, the return stroke oil tank is controlled to reach the maximum volume allowed by the working condition through the combination of discrete volume units, and meanwhile the set pressure of the system is adjusted according to the maximum pressure value of the plunger cavity; the pressure curve of the plunger cavity can cover the minimum return stroke pressure requirement in real time, and the return stroke requirements of the hammer head under various working conditions of different working frequencies, forging forces and different oil liquid elasticity moduli in a large range are met.

This invention provides a flexible cable straightening and shaping device, relating to the technical field of cable straightening and shaping equipment. It includes a straightening module comprising an installation mechanism, a gradual positioning mechanism, a pressure mechanism, and a control mechanism. The straightening module employs a gradual pressure straightening method, applying straightening and shaping forces to the cable sequentially through pressure modules with progressively increasing pressure. This avoids the problem of surface extrusion damage and internal core wire deformation caused by sudden pressure application during the initial straightening and shaping process. Furthermore, the gradual pressure curves between the pressure modules can be freely adjusted, and the pressure of a single pressure module can be independently controlled during straightening. This solves the problem that cable straightening and shaping devices lack the function of gradual pressure straightening, which makes the cable prone to surface extrusion damage and internal core wire deformation due to sudden application of constant pressure during the initial straightening and shaping process.

The invention discloses a bridge plug setting tool setting state detection method, device and equipment and a medium, and relates to the technical field of petroleum engineering. The method comprises the steps that when an underground system reaches a preset bridge plug setting layer position, pressure recording is conducted on underground external pressure based on a received underground pressure monitoring instruction; the first pressure data is fed back to the ground system; an ignition instruction sent by the ground system is received, the bridge plug setting tool is controlled to conduct ignition operation according to the ignition instruction verified to be qualified, second pressure data of the gunpowder chamber pressure in the ignition process of the bridge plug setting tool is monitored and recorded, and a pressure change curve is obtained; calculating a pressure curve characteristic value through a ground system based on the first pressure data and the pressure change curve, judging whether the pressure curve characteristic value is equal to a theoretical pressure calculation value or not, and obtaining a bridge plug setting result that the bridge plug is completely set or not according to a judgment result and the pressure change curve. The detection of the setting state of the bridge plug setting tool is realized.

The application discloses a test method for studying the connection mechanism of hydraulic fractures and high-angle shear type fractures, and belongs to the technical field of indoor test of rock mass hydraulic fracturing. The test method for studying the connection mechanism of hydraulic fractures and high-angle shear type fractures preforms a through fracture at the side of a sample close to the top, performs high-temperature thermal shock treatment on the inner side of the through fracture, thereby forming a gradient damage zone, and processes a perforation upward in the middle of the bottom surface of the sample; the treated sample is placed in an experimental device, and a plurality of acoustic emission probes are pasted on the surface of the sample; a surrounding pressure and an axial pressure are sequentially applied by using a staged loading mode, then high-pressure water fracturing is continuously carried out in the perforation at a constant rate, and the fracture pressure and the corresponding flow rate are recorded when the sample is broken; the hydraulic fracturing process is analyzed according to the flow-pressure curve obtained by the test and the information collected by the acoustic emission probes, and the connection law of the hydraulic fracturing fractures and the through fractures is obtained by combining the CT three-dimensional reconstruction technology after the test.

Method for synchronously moving at least two actuator elements (5) of a pneumatic system (1) for industrial automation, comprising at least two pneumatic actuators (4) and a valve device (3) for pneumatic actuation of the pneumatic actuators (4), wherein each pneumatic actuator (4) has a respective actuator element (5), comprising the steps: - pneumatic actuation of the pneumatic actuators (4), so that each actuator element (5) is moved into a respective end position, - for each of the pneumatic actuators (4), detecting a respective pressure end value (pe) with which the respective pneumatic actuator (4) is actuated when the respective actuator element (5) reaches the end position, - based on the respective final pressure value (pe), generating a respective target pressure profile (25) for each pneumatic actuator (4), - pneumatic actuation of each pneumatic actuator (4) according to the respective target pressure profile (25) in order to move the actuator elements (5) synchronously to a target position (zp).

The invention relates to the technical field of automatic drug delivery control, in particular to a drug delivery control method and system for a surgical postoperative analgesia pump, and the method comprises the following steps: obtaining a respiratory rate and a pressing behavior sequence of a patient, recognizing a fluctuation trend and request growth, judging a synchronous response time period, and adjusting an infusion rhythm and dosage. Pressure curve characteristics are analyzed to recognize abnormal operation, emergency infusion is executed in combination with signal linkage, and a dynamic drug administration control instruction is generated. According to the method, the severe fluctuation identification is generated by obtaining the continuous breathing frequency change trend of the patient and combining with breathing extreme value judgment, the linkage time period mark is formed by matching with sequential change trend analysis of the request behavior of the patient, and the basic infusion frequency and dosage are adjusted in real time to meet the actual analgesia requirement; an intelligent recognition and quick response mechanism under the dominant physiological state is achieved, the adaptability, safety and timeliness of the analgesia process are enhanced, and the problems of control lag and judgment blind areas in a fixed parameter mode are effectively relieved.