181results about How to "Achieve dynamic balance" patented technology

The invention discloses a decision-making method and model for off-line reinforcement learning and continuous on-line fine tuning, and the method comprises the steps: obtaining original text-image pair data and historical track data, and obtaining an enhanced state sequence through feature matching verification and standardization processing; performing sequence prediction by using a multi-level attention mechanism, and obtaining pre-training model parameters through knowledge distillation and task adaptability enhancement; on the basis of stability evaluation and plasticity control, online knowledge migration is carried out on the model, and optimized model parameters are obtained by combining experience playback optimization; and finally, performing multi-dimensional performance evaluation and resource optimization. According to the method, through multi-modal feature fusion, dynamic knowledge migration and an adaptive optimization mechanism, the problems of insufficient feature representation, disastrous forgetting, low optimization efficiency and the like are effectively solved, and the learning efficiency and generalization ability of the model are improved.

The invention provides a self-adaptive power supply energy-saving configuration method and system based on energy gradient utilization, and relates to the technical field of power supply management, and the method comprises the steps: collecting the operation parameters of electric equipment, building a power utilization model, and carrying out the self-adaptive correction; constructing a multi-stage energy distribution matrix according to the corrected power utilization model, and performing energy efficiency grading on the power utilization equipment; performing spatial-temporal feature extraction by adopting a bidirectional attention mechanism, generating an electric equipment priority strategy in combination with a self-calibration network, and further calculating an energy distribution proportion of each level of electric equipment; and finally, generating a control signal according to the energy distribution proportion, adjusting the power supply power of each stage of electric equipment, distributing the exceeded power to the electric equipment with the secondary high energy conversion efficiency when the power value exceeds a target power threshold value, and outputting a self-adaptive energy balance control instruction according to the prediction control model to adjust the operation state of the electric equipment.

The invention relates to the technical field of heat dissipation control, and discloses a heat dissipation fan multi-order filtering control method and device, and the method comprises the steps: collecting the operation parameters of a multi-fan heat dissipation system, and carrying out the construction of a dynamic state space model, and obtaining a system operation state equation and a temperature observation equation; inputting the system operation state equation and the temperature observation equation into an expectation maximization sliding window iteration extended Kalman filter to obtain a system state estimation value and a prediction error covariance matrix; performing three-stage series design on the cut-off frequency of the low-pass filter, the passband range of the band-pass filter and the coefficient of the adaptive filter to obtain a system multi-order filtering control model; based on a system multi-order filtering control model, an airflow coupling influence coefficient matrix among multiple fans is calculated, the total energy consumption, the noise level and the heat dissipation efficiency are subjected to optimization solution, a fan control optimization parameter set is obtained, the heat dissipation efficiency is guaranteed while the energy consumption is reduced, and dynamic balance among all control units is achieved.

The invention discloses an automatic auditing business process control method based on rule optimization. The method comprises the following steps: S1, generating a unified auditing data pool; s2, constructing a multi-layer rule engine, and generating an initial rule set; s3, initializing an improved bee colony optimization algorithm, and dynamically defining a search space of a population; s4, dynamically optimizing the initial rule set by using an improved bee colony optimization algorithm, adjusting a single rule parameter in a search space in a worker bee stage, selecting an optimal rule direction in an observation bee stage, and introducing collaborative bees to optimize conflicts among multiple rules, and re-initializing a low-diversity population in a reconnaissance bee stage, and generating an optimized rule set; s5, generating a rule execution plan, adjusting the node priority of the auditing process and optimizing a task path; and S6, realizing continuous optimization iteration of the rule set and the audit process path based on implementation feedback of the rule execution plan. According to the invention, the multi-layer rule engine and the improved bee colony optimization algorithm realize automatic auditing business process control.

The invention relates to the field of battery cooling equipment, in particular to a V-shaped fin liquid cooling system which comprises a liquid cooling plate, battery packs, cooling modules and heating modules, the upper surface of the liquid cooling plate is fixedly connected with the battery packs at equal intervals, and the cooling modules and the heating modules are arranged in the battery packs. A liquid inlet is formed in the outer wall surface of one end of the liquid cooling plate in a penetrating mode, a liquid outlet is formed in the outer wall of the end, away from the liquid inlet, of the liquid cooling plate in a penetrating mode, a plurality of rectangular straight flow channels are formed in the inner bottom wall of the liquid cooling plate, and the problem that a conventional liquid cooling plate cannot meet the high-discharge-rate heat dissipation requirement of a battery pack is solved; meanwhile, the power consumption of the battery pack is reduced, and electronic expansion valves of the cooling module and the heating module are controlled. The working temperature of the battery can be dynamically controlled within a proper working temperature range, when the temperature of the battery pack is proper, the thermal management system is closed, the power consumption of the battery pack is reduced by adopting natural cooling, and dynamic balance is realized.

The invention relates to the technical field of path planning, in particular to a bucket wheel machine unmanned collaborative operation reclaiming path planning method, which comprises the following steps of: constructing a three-dimensional stacking model of a stock ground, and determining an operation overlapping area of adjacent bucket wheel machines according to operation positions and operation ranges of the adjacent bucket wheel machines; dividing the stockpile in the operation overlapping area into a plurality of stockpile blocks, and generating a priority distribution table of the stockpile blocks in the overlapping area through priority calculation; based on the priority distribution table, the stacking blocks in the operation overlapping area are distributed to the two adjacent bucket wheel machines; planning a preliminary path for each bucket wheel machine by using the distribution result, wherein the path planning needs to be followed; and updating the stacking form and adjusting the path in real time. According to the invention, the conflict of processing the same stockpile block by two bucket wheel machines is effectively avoided, dynamic balance of task load is realized, and high efficiency and continuity of collaborative operation are ensured.

The invention provides a preparation method of a metal-doped cobalt-based dynamic catalyst and application of the metal-doped cobalt-based dynamic catalyst in electrosynthesis of ammonia, and belongs to the technical field of catalysts. The metal-doped cobalt-based catalyst is prepared by adopting an ion exchange and reducing atmosphere calcination method, has a self-supporting characteristic and high activity, and is directly used as an electrode in the process of electrosynthesis of ammonia, so that the reaction stability is greatly improved. Compared with the existing electrosynthesis ammonia catalyst, the metal-doped cobalt-based dynamic catalyst prepared by the invention has unique advantages in the aspects of interface water activation and nitrogen oxide conversion, and shows excellent application prospects.

The utility model discloses a hoisting assembly for quickly fixing spare and accessory parts, which relates to the technical field of automobile production and comprises a base, a plurality of first electric push rods are mounted on the base, a support plate ascends and descends through the first electric push rods, and a support rod is fixed on the support plate; the top end of the supporting rod is connected with the rotating frame through the connecting groove to achieve flexible rotation. A limiting groove is formed in the right side of the rotating frame, and the built-in sliding block can slide along the limiting groove; a second electric push rod, a driving mounting plate and a two-way electric push rod are arranged in the sliding block, and the two-way electric push rod drives clamping plates and lifting hooks to meet different lifting requirements; a first motor cavity and a rotating rod cavity are formed in the supporting rod, and a rotating unit is arranged in the supporting rod to accurately control the position of the rotating frame; a counterweight unit is arranged on the left side of the rotating frame, the position of a counterweight block is adjusted through a second rotating motor, dynamic balance is achieved, vibration is reduced, and operation stability and safety are improved; an adjusting unit is arranged on the right side to finely adjust the position of the slider; in addition, weighting blocks are additionally arranged at the bottoms of the supporting rods, bottom weight is enhanced, and overall stability is improved.

The invention discloses an automobile aftermarket full-link intelligent replenishment method and system and a medium, and belongs to the technical field of automobile aftermarket full-link sales. The method comprises the steps of obtaining a demand subject; aiming at each demand main body, carrying out data mining and conversion by utilizing a big data calculation center through a plan collaboration platform, and respectively constructing a central warehouse intelligent replenishment model, a front warehouse intelligent replenishment model and a customer intelligent replenishment model in cooperation with each level of network supply strategy; receiving a replenishment calculation result of the planned collaboration platform by using the planned replenishment platform, converting the replenishment calculation result into an actual replenishment strategy, and finally generating a replenishment execution list; and performing replenishment execution according to the replenishment execution list. The replenishment system has the characteristics of standardization, automation and integration, the types and the number of automatic replenishment are calculated through the model, the replenishment model and the replenishment system serve as software and hardware respectively, automatic calculation and execution of replenishment are achieved, linkage of all links of a supply chain is achieved, and reasonable and stable replenishment is guaranteed.

The invention relates to the technical field of databases, and discloses a real-time password verification method and system based on a network state and a storage medium, and the method comprises the following steps: firstly obtaining a password change strategy containing an old password based on a password change task notification, and then detecting a current network line to obtain state data; and if the data is abnormal, sending a network establishment request, operating by using a temporary network line and detecting the state data again, and if the data is abnormal, continuing to send a new request until the network state is good. And when the current or temporary network state is good, the old password is verified by using the good line, the password is changed and updated after the verification succeeds, the new password is verified on line, a password changing result is generated if the verification succeeds, the application connection pool is refreshed, and finally the password changing result is uploaded, so that the accuracy and the stability of password verification and password changing operation are ensured.

The present disclosure relates to a charger control method, device, charger and vehicle. The method is applied to a charger, which is an on-board charger or a charging pile charger, and includes: obtaining the current voltage, current current and bus capacitor voltage on the AC side of the charger; determining the steady-state target current and current correction amount on the AC side; determining the target current value on the AC side according to the current voltage and steady-state target current; correcting the target current value using the current correction amount; controlling the current on the AC side according to the corrected target current value, current voltage, current current and bus capacitor voltage, so that the current on the AC side follows the corrected target current value. Correcting the target current value using the current correction amount can ensure the accuracy of the corrected target current value, so that the current on the AC side closely follows the corrected target current value, and avoids deviations in the positive and negative half-cycle currents on the AC side, so as to adjust the actual current balance on the AC side.

The invention relates to a resource balancing method and device of a distributed code storage system and electronic equipment. The method comprises the following steps: acquiring storage resource information and hotspot resource information of each storage server of the distributed code storage system; according to the storage resource information, carrying out storage resource evaluation on the storage server, and according to the hotspot resource information, carrying out hotspot resource evaluation on the storage server; generating a copy moving task for moving a target code warehouse copy stored in the storage server with unbalanced resources to other storage servers under the condition that the storage resources or the hotspot resources of the storage server are unbalanced; and allocating the copy moving task to the corresponding storage server for execution, and performing copy moving on the target code warehouse copy. The problem that the resource utilization rate of a storage system is low due to the fact that resource occupancy among storage servers is more unbalanced along with use and capacity expansion of a distributed code storage system in the related technology is solved.

The utility model relates to the technical field of gear set speed reducers, in particular to a planetary gear set speed reducer. The planetary gear train comprises a first planetary gear set and a second planetary gear set, and the first planetary gear set comprises a first inner gear ring, a first sun gear, a first planet carrier and a plurality of first planet gears; the first inner gear ring is fixedly installed on a support, and a main shaft is rotationally arranged on the support. The first sun gear is installed on the main shaft, and the first planet carrier is installed on the main shaft. The second planetary gear set comprises a second inner gear ring, a second sun gear, a second planet carrier and a plurality of second planet gears; the second inner gear ring is rotationally mounted on the bracket; the second sun gear is fixedly installed on the main shaft, and the second planet carrier is rotationally installed on the main shaft and fixedly connected with the first planet carrier. The speed reducer has the characteristics of compact structure and large reduction ratio.

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 relates to the technical field of groundwater refilling, in particular to a groundwater refilling dynamic balance intelligent control device, which comprises a data acquisition module for collecting feature data of groundwater in a target area through i observation wells in the target area, analyzing the feature data of the groundwater in the target area, and calculating the dynamic balance of the groundwater in the target area; the underground water level of the target area at the future P moment is predicted, the underground water loss rate of the target area at the future P moment is obtained according to the underground water level of the target area at the future P moment, and then the underground water storage capacity coefficient of the target area is calculated by obtaining the thickness, area and porosity of the aquifer of the target area in combination with the permeability coefficient. Inputting the obtained groundwater loss rate, the groundwater storage capacity coefficient and the groundwater level of the target area acquired in real time into the trained machine learning model to predict groundwater supplement amount; the control precision of the groundwater supplement amount is guaranteed, and dynamic balance of groundwater is achieved.

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.