123results about How to "Achieve dynamic balance" patented technology

The invention relates to the field of intelligent medical treatment, in particular to a dynamic illumination prediction method and device based on a refraction state and a program product. Comprising the steps of obtaining eye refraction data of a to-be-tested person; carrying out clustering and feature fusion on the refractive data to obtain fusion features; outputting the fusion features to a trained prediction model for prediction to obtain a brightness prediction value and a color temperature prediction value; and the prediction model carries out weight parameter initialization by compressing an abnormal value of refractive data and compensating distribution deviation of refractive clustering. According to the method, personalized expression of different myopia degrees on illumination perception differences can be achieved, brightness and color temperature parameters are dynamically predicted, actual lighting equipment is driven, dynamic balance of visual comfort and environmental adaptability is achieved, and the method has good actual application value.

The invention provides an adjustable liquid metal printing nozzle and a liquid metal 3D printing method, and mainly relates to the technical field of liquid metal printing. An adjustable liquid metal printing nozzle comprises a nozzle assembly, a driving assembly, an adjusting assembly and a liquid inlet assembly. Wherein the driving assembly is in transmission connection with the adjusting assembly and is used for providing driving force required by adjustment; the liquid inlet assembly communicates with the interior of the nozzle assembly to form a liquid metal conveying channel. The adjusting assembly is arranged at the joint of the liquid inlet assembly and the nozzle assembly and used for controlling the opening number of spraying holes of the nozzle assembly. The device has the beneficial effects that through precise regulation and control of the opening number of the spraying holes of the nozzle assembly, the dual functions of variable-size part printing adaptation and flow dynamic adjustment are achieved, and the solidification condition of a printed part is optimized.

The application discloses a spraying robot laser radar inertia tight coupling positioning method based on IMU vibration spectrum sensing, comprising the following steps: 1) collecting IMU original data and preprocessing, and constructing a multi-dimensional standardized ground vibration fingerprint; 2) receiving the output multi-dimensional standardized ground vibration fingerprint, and realizing integrated decision of ground state sensing and positioning risk assessment; 3) according to the output decision triple, dynamically matching a pre-established multi-dimensional mapping library of “ground type-vibration interference level-treatment strategy”; 4) fusing the output point cloud without vibration noise and distortion and IMU pre-integration data, realizing adaptive tight coupling state optimization, and outputting pose estimation residual error; 5) based on the output pose estimation residual error, evaluating the mismatch degree of the current positioning system parameters and the environment, and realizing full-link closed-loop adaptive optimization. The application realizes integrated decision of ground type identification and positioning risk, and solves the problem that ground sensing and positioning decision are disconnected.

The present application relates to the technical field of vehicle pseudonym replacement, and particularly relates to a vehicle pseudonym replacement method based on artificial intelligence, which comprises the following steps: determining whether pseudonym replacement is needed according to a replacement time interval value or performing secondary determination based on a quantity ratio reference value and a communication characteristic value; determining a target area type according to a to-be-replaced vehicle distribution reference value and a replacement allowance, and determining whether to directly perform pseudonym replacement or perform combined analysis according to the target area type; in the combined analysis, determining a related vehicle combination based on a position synchronization degree or an interaction reference value according to a vehicle analysis coefficient, determining whether to perform sequential setting of a virtual vehicle based on a quantity difference value or setting a virtual vehicle based on a historical attack frequency of a sub-area, and performing pseudonym replacement on to-be-replaced vehicles and virtual vehicles in the related vehicle combination. The present application can reduce the risk of vehicle location privacy leakage.

This invention discloses a short-range, high-precision time-frequency synchronization positioning method and system, comprising: constructing a frequency-modulated continuous wave (FM-CVT) signal; embedding the FM-CVT signal into a Wi-Fi signal; loading the FM-CVT signal into the digital domain to obtain an initial FM-CVT signal; converting the initial FM-CVT signal into an analog signal via digital-to-analog conversion, and up-converting the analog signal; receiving the up-converted analog signal, down-converting the analog signal, and obtaining a received FM-CVT signal via analog-to-digital conversion; calculating the time delay and frequency offset between the initial FM-CVT signal and the received FM-CVT signal to obtain a time-frequency offset value; and compensating the time-frequency offset value for subsequent FM-CVT signals to obtain a synchronized FM-CVT signal. This invention utilizes the high time-frequency resolution characteristics of FM-CVT signals, accurately estimates the time delay and frequency offset through cross-correlation or Fourier transform, and performs closed-loop compensation, significantly improving the time-frequency synchronization accuracy and positioning accuracy in short-range scenarios.

The application provides a multi-objective dynamic optimization method and system for a solar seawater desalination process, belonging to the technical field of solar seawater desalination control. Firstly, the application collects solution conductivity data at the inlet and outlet positions and irradiance trend data above the photovoltaic array. Then, the conductivity difference is calculated to generate gradient data to map the desalination demand vector, and the cloud motion vector is extracted from the irradiance data using the optical flow method to construct the energy supply potential vector. Subsequently, the two are aligned and convolved to generate a state space matrix, which is input into the constructed Kalman filter to predict the target voltage reference trajectory. Finally, the trajectory is substituted into the multi-objective constraint function to calculate the target duty cycle command, and the DC converter switching state is adjusted to change the operating voltage of the desalination device. The application can achieve real-time multi-objective dynamic optimization of the water production efficiency and equipment safety of the solar seawater desalination system under the dual fluctuations of light and salinity.

The utility model relates to the technical field of plant ventilation equipment, and particularly discloses a self-adaptive plant ventilation flow guide device which comprises an air cap, an air neck is arranged at an opening in the lower end of the air cap and comprises an inner flow guide cylinder and an outer flow guide cylinder which are coaxially arranged, and a second flow guide opening is formed in the side wall of the outer flow guide cylinder; the inner flow guide cylinder extends to the inner side of the outer flow guide cylinder, a ventilation flow guide mechanism is arranged in the inner flow guide cylinder, and the ventilation flow guide mechanism and a first flow guide opening formed in the side wall of the hood form an exhaust path. Poisonous gas generated in a factory building is detected through a PID photoion sensor, then an electric telescopic rod and a motor are controlled to be started, the electric telescopic rod can drive the motor and an insertion block to move upwards, meanwhile, the motor drives the insertion block to rotate till the insertion block is correspondingly inserted into the inner wall of an insertion groove, then a connecting rod and fan blades are actively driven to rotate, the fan blades are controlled to rotate, and the fan blades are driven to rotate. Therefore, the self-adaptive ventilation of the ventilation device can be improved, and the influence on the health of workers is reduced.

The utility model discloses a thermal management system of a plug-in hybrid electric vehicle, and belongs to the technical field of plug-in hybrid electric vehicles. The system mainly comprises a motor electric control loop, a passenger compartment heating loop, a passenger compartment refrigerating loop, an engine loop and a battery loop, a warm air core body and a liquid-liquid heat exchanger which are used for heating are arranged in the passenger compartment heating loop, a cooler chiller used for refrigerating is arranged in the passenger compartment refrigerating loop, the motor electric control loop is connected with the passenger compartment heating loop in series, and the motor electric control loop is connected with the engine loop. The warm air core body is connected with the liquid-liquid heat exchanger in parallel and then is communicated with the battery loop; and the cooler chiller is communicated with a battery loop after being connected in series with the liquid-liquid heat exchanger. The motor electric control loop is connected with the passenger compartment heating loop in series, the warm air core and the liquid-liquid heat exchanger are connected into the passenger compartment heating loop and the battery loop in parallel, multi-heat-source cooperative utilization is achieved, heating stability is improved, meanwhile, a PTC or heat pump pipeline is omitted, production cost is reduced, extra energy consumption is greatly reduced, and the energy-saving and environment-friendly effects are achieved. The whole vehicle energy utilization rate is improved.

The application relates to the technical field of artificial intelligence, and provides an agent and a derivative sub-agent identity behavior tracing method and system, which comprise the following steps: acquiring access requirements of a target object; in response to an interaction request of a derivative sub-agent and the target object, allocating identity credentials with corresponding strengths to the derivative sub-agent based on the access requirements; writing a change of a life cycle state of the derivative sub-agent into a record of a history of a parent agent; and reserving an index pointing to the record of the history in an attribute of the derivative sub-agent. The application dynamically allocates the strength of the identity credentials based on the access requirements, balances identity management overhead and interaction security, eliminates a responsibility breakpoint by anchoring the state of the sub-agent into the record of the history of the parent agent and reserving the index, and realizes seamless penetration tracing.

The invention discloses a data transmission method and system, a storage medium, a program product and computer equipment. A sending device configured with a congestion window reads data from a preset database; packaging the read data based on the current state of the congestion window to obtain a data message; sending the data message to a receiving device, and receiving a feedback message from the receiving device; and based on the feedback message, state adjustment is performed on the congestion window and / or the reading rate is adjusted, and the reading rate is suitable for indicating the rate of reading the data from the preset database, so that the sending device can send the data message according to the feedback message fed back by the receiving device after sending the data message. According to the invention, the state of the congestion window is dynamically adjusted according to the actual situation to realize congestion control and / or the reading rate is dynamically adjusted to control the transmission efficiency, so that the dynamic balance between the congestion control and the transmission efficiency is realized, and the balance between the congestion control and the transmission efficiency is improved.

This invention belongs to the field of computer vision technology and discloses a method and system for video depth understanding and generation based on a constraint-guided model. The method includes: acquiring original reference images and extracting image sequences; extracting original feature information based on the image sequences, receiving user-inputted custom constraints, and correcting the original feature information based on the custom constraints; extracting target images from a preset database based on the corrected original feature information and the custom constraints; generating a preset number of candidate videos based on the target images, and determining whether to output the current candidate video as the final generated video; if not outputting the current candidate video as the final generated video, generating guidance information. This invention overcomes the dilemma of existing technologies, achieving a precise balance between controllability and innovation. Furthermore, this invention optimizes generation efficiency and quality while reducing computational costs.

The utility model relates to the technical field of printing machine scrapers, in particular to an SMT printing machine scraper which comprises a connecting box, a plurality of adjusting assemblies are arranged at the lower end of the connecting box, pressure sensors are arranged on the adjusting assemblies, buffer blocks are arranged at the lower ends of the adjusting assemblies, and a supporting plate is arranged at the lower ends of the buffer blocks. A main knife is arranged on the bottom wall of the supporting plate, an auxiliary knife sleeve is arranged at the lower end of the main knife, the auxiliary knife sleeve is matched with the main knife and is in damping sliding connection with the main knife, a connecting shaft is arranged at the upper end of the connecting box, the adjusting assembly comprises a control box, a motor, a supporting rod, an adjusting rod and an adjusting block, and baffles are arranged at the two ends of the bottom wall of the supporting plate. The buffer block is of a multi-layer composite elastomer structure, dynamic balance of pressure in different areas of the scraper is achieved, impact noise generated when the scraper works is effectively reduced, and the scraper is particularly suitable for precise printing of high-viscosity solder paste.

This application relates to a control method, apparatus, computer equipment, and medium for frequency support in a grid-connected system. The grid-connected system includes an energy storage unit and a renewable energy generation unit. The energy storage unit includes a rechargeable battery pack and a discharge battery pack. The method includes: in response to a power regulation command for the grid-connected system, acquiring a first current state of charge (SOC) of the rechargeable battery pack, a second current SOC of the discharge battery pack, the maximum available power of the renewable energy generation unit, and grid frequency deviation data; determining a comprehensive SOC of the energy storage unit based on the first and second SOCs; and determining a target power regulation strategy for the grid-connected system based on the comprehensive SOC, frequency deviation data, and the maximum available power of the renewable energy generation unit, to control the power generation of the energy storage unit and the renewable energy generation unit. This method can extend the battery pack's lifespan while ensuring grid frequency stability.

The invention relates to a timer adjusting method and system based on DPDK dynamic load awareness, and the method comprises the steps: calculating a first load rate of a first buffer area and a second load rate of a second buffer area when a timer triggers a pre-constructed collection thread according to a triggering period, and adjusting the first load rate of the first buffer area and the second load rate of the second buffer area based on the first load rate and the second load rate; adjusting a trigger period through a disk scanning period adjusting rule, and updating a timer based on the trigger period; and scanning the target collection directory, and writing the scanned file into the first buffer area. The step of executing the pre-constructed processing thread comprises the steps of obtaining data from the first buffer area and processing the data, and storing a processing result in the second buffer area. And based on the updated timer, circularly executing the acquisition thread and the processing thread, and balancing the data acquisition rate and the data processing rate. The problem of how to improve the resource utilization efficiency while keeping the balance between file collection and file processing in the prior art is solved.

The application provides a method and system for checking the cross-modal information consistency of a maintenance plan based on a large model, and relates to the technical field of big data analysis. The method comprises the following steps: identifying a target maintenance plan through a power large model, determining key maintenance content, an unstructured proportion, and an attachment type complexity; obtaining a text data complexity and a business risk index based on key maintenance content analysis, as a first checking difficulty coefficient and a second checking difficulty coefficient; determining a third checking difficulty coefficient according to the unstructured proportion and the attachment type complexity evaluation; taking the expected review time limit of the target maintenance plan as a constraint, formulating an adaptive checking depth and an adaptive checking breadth based on the first checking difficulty coefficient, the second checking difficulty coefficient, and the third checking difficulty coefficient; and performing cross-modal information consistency checking on the target maintenance plan according to the adaptive checking depth and the adaptive checking breadth. The dynamic allocation of resources for checking the cross-modal information consistency of a maintenance plan is achieved.

The oil tank VOCs self-pressure recovery system and recovery method disclosed by the application comprises an ejecting chamber, one end of the ejecting chamber is communicated with a high-pressure fluid pipeline outside, one end of the high-pressure fluid pipeline located outside the ejecting chamber is communicated with a gas collecting and supplying pipeline through a pipeline, and the other end of the high-pressure fluid pipeline located inside the ejecting chamber is sequentially communicated with a throat pipe and a nozzle; the other end of the ejecting chamber opposite to the high-pressure fluid pipeline is sequentially communicated with a mixing chamber, an expansion pipe and a mixed fluid pipeline outside; one side of the ejecting chamber is communicated with a low-pressure fluid pipeline outside, and one end of the low-pressure fluid pipeline located outside the ejecting chamber is communicated with the top of the tank through a pipeline. The application realizes the dynamic balance of the gas phase system in the tank and the sealing of the whole system by controlling the ejecting amount, thereby controlling the emission source and avoiding the emission of volatile organic compounds. The application reasonably utilizes the low pressure required by the pre-heating furnace, greatly reduces the consumption of external energy, meets the safety and environmental protection requirements, recovers the energy, and improves the efficiency.

This invention relates to the field of pharmaceutical injection control system technology, specifically disclosing a distributed pharmaceutical injection control system and method based on LSTM dynamic compensation. The system employs a multi-timescale nested fully closed-loop control architecture, including a multi-modal data sensing unit comprising a sparse in-situ online remediation effect monitoring network for collecting physical, chemical, and acoustic parameters at the injection well site, and collecting in-situ contaminant concentration data through the sparse in-situ online remediation effect monitoring network. This invention's technical solution, by constructing a multi-timescale nested fully closed-loop architecture combining edge control and central remote collaboration, enables continuous adaptive regulation of multi-source formation state data during actual underground pharmaceutical injection control operations.

The invention discloses a digital axial plunger pump / motor, and belongs to the field of hydraulic elements. The device comprises a fixed cylinder body, a transmission shaft, an inner ring swash plate, an outer ring swash plate and a plunger assembly, the cylinder body is provided with double rows of plunger cavities, and the transmission shaft is supported in the center of the cylinder body through a bearing. The inner ring swash plate and the outer ring swash plate are rigidly connected with the shaft, working face contours of the swash plates are symmetrical curved surfaces and provided with guide grooves, the plungers are arranged in plunger cavities, reset springs are arranged at the front ends of the plungers, guide balls are arranged at the tail ends of the plungers, and the guide balls are in rolling contact with the swash plate guide grooves. When the pump is used, the transmission shaft drives the swash plate to rotate, the plunger moves linearly in a reciprocating mode through the curved surface profile, and the single plunger completes two times of oil discharge and two times of oil suction every time the swash plate rotates by a circle. When used as a motor, the digital valve system controls high-pressure oil to enter the plunger cavities to push the plungers, the balls roll along the curved surface of the swash plate to convert linear motion into continuous rotation of the swash plate and the transmission shaft, the single plunger completes two times of oil inlet and two times of oil return every time the single plunger rotates, and efficient conversion is achieved.

The invention relates to the technical field of power equipment state monitoring and signal devices, and particularly discloses a cable temperature real-time monitoring and early warning method based on the Internet of Things, which comprises the following steps of: deploying a temperature sensing node with edge computing capability at a key position of a cable, constructing a dynamic early warning model in which a resource scheduling engine driven by a shuffled frog leaping algorithm and an extreme gradient lifting classifier cooperate, and dynamically adjusting data acquisition frequency, transmitting power and reasoning depth to balance power consumption and precision; early warning information is uploaded to a cloud platform through a low-power wide area network, a global risk situation map is generated, and a three-level early warning mechanism is triggered. According to the technical scheme, self-adaptive, low-power-consumption and high-reliability cable temperature monitoring and early thermal fault early warning are achieved, and the intelligent level and emergency response efficiency of operation and maintenance of a power system are improved.

The application discloses a power quality treatment method and device and electronic equipment. The method comprises the following steps: acquiring power quality data, and identifying a corresponding harmonic source type by using a classification model; determining marginal benefits by using a benefit model and determining marginal costs by using a cost model based on the harmonic source type, wherein the marginal benefits comprise energy-saving benefits and equipment life extension benefits corresponding to power quality treatment, and the marginal costs comprise operation costs and depreciation costs of treatment equipment; determining an optimal treatment target according to the marginal benefits and the marginal costs, wherein the optimal treatment target is used to represent a power quality index at a balance point of the benefit model and the cost model; and generating a power quality treatment instruction according to the optimal treatment target. The application solves the technical problem of low treatment efficiency caused by the fact that the power quality treatment technology in the related art usually adopts a fixed control strategy.

The application relates to a welding jig which comprises a base assembly provided with a position-giving part, an upper pressing assembly provided with a pressing correction part and a locking mechanism, when the upper pressing assembly and the base assembly are locked, the pressing correction part forces the local part of a to-be-welded plate into the position-giving part, so that the plate generates a preset elastic deformation. The welding jig effectively overcomes the problem that the plate cannot be closely attached due to its own warping by forced deformation through the above structure, ensures the close contact of the plate, components and frames at the welding position, eliminates the welding gap, effectively avoids the virtual welding and false welding phenomenon, and significantly improves the welding quality and connection strength of the electronic assembly.

The application discloses a new energy declaration data multi-source checking method based on a GAT-CKDE algorithm, and comprises the following steps: identifying abnormal data and missing data of original new energy declaration data through a pre-constructed composite abnormality judgment function, and outputting marked abnormal data, wherein the abnormal data comprises abnormal data and missing data; repairing the abnormal data by using a pre-constructed graph attention network structure to obtain repaired new energy prediction data; and calculating a risk envelope of the repaired new energy prediction data by using a pre-constructed new energy prediction data risk envelope generation method based on a conditional kernel density estimation.

This application relates to a transmission path planning method and apparatus for data sharing and exchange in a controlled network environment, belonging to the field of network communication and data transmission technology. The method includes: calculating the comprehensive adaptability score of the service links of the controlled network subdomains to the current service based on a security-performance dynamic coupling model, and using this score as the service link coupling feature; aggregating the service link coupling features of all subdomains to generate a global feature vector and inputting it into a policy generation model, outputting a basic path policy for cross-domain data sharing and exchange, and storing it in a historical policy database; when services are updated or new subdomains are added, performing path migration adaptation between the new service features or the service link coupling features of the new subdomains and the basic path policy, outputting a target path policy and comparing it with the historical best value for similarity, triggering policy fine-tuning based on the comparison result to obtain the optimal path policy. This method can achieve efficient, secure, and flexible data sharing and exchange in a controlled network environment.

The application provides a multi-agent optimal allocation method of a dynamic routing algorithm, relates to the technical field of artificial intelligence, and comprises the following steps: obtaining a task characteristic matrix, constructing a multi-agent capability matrix, constructing a multi-objective optimization function containing a specialty matching degree, a cost and a performance standard degree based on the task characteristic matrix and the multi-agent capability matrix, and solving and obtaining an optimal allocation scheme by using an improved genetic algorithm; supporting user intervention and automatically checking and updating; and monitoring a load in real time and dynamically migrating tasks when overload is detected. The application improves resource allocation efficiency, enhances system robustness, and realizes intelligent load balancing.

The utility model discloses a chemical waste liquid treatment dosing mechanism for mine test, which belongs to the technical field of dosing mechanisms and comprises a waste liquid treatment tank, a metal support is mounted at the bottom of the waste liquid treatment tank, dosing components are respectively arranged on two sides of the top of the waste liquid treatment tank, and each dosing component comprises a support component. According to the scheme, through cooperative use of the stocker, the rotary discharging disc, the stirring motor and the transmission wheel disc, a stirrer can be driven to rotate in the waste liquid treatment tank, and meanwhile quantitative feeding of chemical agents can be controlled; in the whole process, step-by-step, quantitative and synchronous addition of the chemical reagent is completed by accurately controlling the rotating speed of the stirring motor, and rapid and uniform mixing is realized under the action of the stirrer, so that the contact efficiency and the reaction effect of the chemical reagent and the chemical waste liquid are maximized; therefore, the problems of local gathering and excessive waste of chemical agents caused by traditional one-time integral feeding can be solved.

This invention relates to the field of gas turbine hoisting operation control, and specifically to a method for dynamically adjusting the safety distance monitoring in gas turbine hoisting operations. The invention selects associated obstacle monitoring points at each path point, and based on the operating parameters of the gas turbine equipment and hoisting machinery combined with the current wind force level, sets the initial safety distance between the gas turbine equipment and each associated obstacle monitoring point at each path point. It then acquires the obstacle distance values ​​between the current path point and the gas turbine equipment and associated obstacle monitoring points in real time, analyzes the current basic risk coefficient, and obtains a trend risk coefficient by combining the safety distance margin and early warning triggering degree of the adjacent preceding path point. This determines whether the initial safety distance of the adjacent following path point needs adjustment. If adjustment is required, the initial safety distance is dynamically corrected based on the current safety distance margin and risk coefficient, the upper limit of the operating speed of the gas turbine equipment at the adjacent following path point is updated, and the final safety distance is determined, thereby improving the safety and efficiency of gas turbine hoisting operations.

This invention discloses a method and system for scheduling heliostat fields in a multi-tower coupled solar thermal power plant. The method includes: S1. Determining whether each absorber tower is an over-limit tower and whether each receiving area on the absorber is an over-limit area; S2. If at least one over-limit area exists, determining target processing areas according to the degree of over-limit in each receiving area from high to low, using the absorber tower belonging to the target processing area as the target processing tower, and iteratively executing a first scheduling scheme until each receiving area and each target processing tower is within limits; if no over-limit areas exist, proceeding to step S3; S3. If at least one over-limit tower exists, determining target processing towers according to the degree of over-limit in each absorber tower from high to low, and iteratively executing a tower over-limit scheduling scheme until each absorber tower is within limits. Implementing the technical solution of this invention can coordinate tower-level and area-level dual constraints, intelligently, efficiently, and stably completing the scheduling of heliostat fields.

The invention discloses a self-heating material and a preparation method and application thereof, and relates to the field of self-heating products. The self-heating material comprises the following raw materials in parts by weight: 38-41 parts of iron powder, 9-11 parts of activated carbon, 12-15 parts of silane modified diatomite, 3-4 parts of super absorbent resin, 1.0-1.5 parts of sodium chloride and 30-35 parts of water. The super absorbent resin is prepared from the following raw materials: acrylic acid, acrylamide, a cross-linking agent, diatomite, white carbon black and an initiator. The self-heating material has the heating effects of quick start and long-term endurance, the material is prevented from being thick and heavy, and the wearing comfort of the product is improved.

The application discloses a light-gathering louver control method capable of optimizing natural lighting. Firstly, real-time azimuth angle and high angle data sent by a sun position sensor, real-time light intensity data sent by a direct light intensity sensor and real-time light intensity data sent by a scattered light intensity sensor are acquired. By comparing the direct light intensity data with a preset value and the scattered light intensity data with the preset value, it is determined whether the outdoor weather is sunny, cloudy or overcast. Then, according to the weather, the light-gathering louver is adjusted to an angle, which is an optimal value or forms a function relationship with real-time angle data of the sun height angle. Through flexible control of the angle of the louver, the method can realize dynamic balance of building energy production and lighting.

The embodiment of the invention provides a recoverable air bag for reinforcing steel bar supporting, which comprises an air bag assembly and an air inflation interface, and the air bag body forms a rigid supporting structure through air inflation and is matched with a middle gap area of a reinforcing steel bar component; the exhaust balance assembly comprises an air valve, a pressure sensor, a flow regulating valve and an air guide pipeline, the air valve is arranged on the side wall of the air bag body, the pressure sensor is installed on the outer side wall of the air bag body and used for monitoring external pressure changes in the concrete pouring process, and the flow regulating valve is connected with the air guide pipeline; the exhaust flow is dynamically adjusted according to signals of the pressure sensor; the control assembly is used for dynamically controlling exhaust operation according to the pressure signal and sending out a warning signal under the abnormal working condition. According to the technical scheme, the air bag can be recycled and reused, construction waste and resource waste are reduced, and the supporting stability, the pouring quality, the construction safety and the environmental protection property are improved.