18results about How to "Increase uncertainty" patented technology

The invention discloses a hypersonic deformation aircraft pose sliding mode control method based on ISAC, and belongs to the technical field of deformation aircraft control, and the method comprises the following steps: building a longitudinal pose model of a hypersonic deformation aircraft, and building a linear variable parameter system after sampling and interpolation; designing a sliding mode surface based on the joint tracking error of the relative height and the relative speed, and designing a corresponding novel adaptive sliding mode reaching law; constructing an ISAC model, and solving a time-varying reaching law gain coefficient through the ISAC model; taking the weighted fusion action of the three-branch Actor module as a time-varying reaching law gain coefficient, and solving an adaptive sliding mode reaching law; solving a sliding mode surface s; and sliding mode control input is obtained based on a modeled linear variable parameter system. By adopting the method, the pose control precision and the anti-interference capability of the hypersonic deformation aircraft are improved, and the system stability under multiple constraints such as flight safety boundaries and control constraints is ensured.

The application belongs to the field of laminated diffraction imaging, and specifically discloses a high dynamic range image fusion laminated diffraction imaging method and system, the imaging method being: initializing an illumination probe and a sample to be measured, constructing a joint distribution containing a diffraction light field, a dark field and an exposure time sequence, solving a maximum likelihood estimation of absolute irradiance based on a joint probability density function, fusing a diffraction field high dynamic range absolute irradiance from directly measured diffraction light field, dark field and exposure time parameters, replacing an analog diffraction light field amplitude and keeping its phase unchanged, and simultaneously reconstructing the illumination probe and the sample to be measured according to the analog diffraction light field before and after updating. The application considers the influence of mixed noise, effectively extracts high-frequency overlapping correlation signals without losing or reducing the signal-to-noise ratio of low-frequency region diffraction signals, significantly reduces the requirement for the dynamic range of a detector, and avoids the increase of imaging system uncertainty without additional complex parameter calibration and modulation equipment in the imaging process.

The application belongs to the technical field of information processing, and particularly relates to a document-level relation extraction method based on a generative model, which comprises the following steps: firstly, in the training stage, a generative model is used to compress and refine the document, and the relation summary of the subject and object in the document is extracted, so that information closely related to the target is screened out; secondly, in the testing stage, a lightweight discriminant module is introduced, and the relation summary output by the generative model is mapped to a predefined relation category; and the generative model has self-adaptive learning ability and can dynamically and autonomously learn human carefully selected examples to generate output closer to human intention.

According to the gain updating method and device of the virtual resources, the storage medium and the computer equipment provided by the invention, the first virtual role is determined from the plurality of virtual roles which are randomly generated by the system and do not belong to the user in response to the triggering of the role activation instruction by the user, and the production attribute of the first virtual role is changed into the target attribute with the gain endowing permission; associated first gain parameter values and target production units are then determined to update the overall gain efficiency. According to the method, the traditional single mode of performing gain configuration depending on existing roles of players is broken through, the first virtual role randomly generated by the system provides an additional gain source for the players, the players can obtain gains without accumulating enough roles, and the operation efficiency and the plot propelling efficiency of the players are effectively improved. Meanwhile, due to the randomness of the first virtual character, the gain parameter value of the first virtual character and random or dynamic generation of the target production unit, the interactivity and interestingness of the game are remarkably improved, and the experience feeling of players is improved.

The invention relates to a spacecraft confrontation intention recognition method with interpretability, which adopts a mode of combining deep learning and data mining to recognize the confrontation intention of a spacecraft and realize the tracing of the confrontation intention, and specifically comprises the following steps of: firstly, collecting time sequence state data of the spacecraft through a space-based or foundation remote sensing system; performing data processing on the original data, and performing association rule mining on historical confrontation data of the spacecraft through an association rule mining algorithm to obtain an association rule of state, action, moment-intention; meanwhile, a depth model is constructed and trained for intention recognition, and final spacecraft confrontation intention probability distribution is output. The result of the association rule mining algorithm is used for screening in adversarial intention recognition, so that the intention recognition precision is improved; and traceability of the recognition result of the confrontation intention is realized, the source of the confrontation intention is analyzed, an auxiliary decision is provided for a decision maker, and interpretability is enhanced.

This invention relates to the field of unmanned surface vessel (USV) technology, specifically to a USV control algorithm. Utilizing onboard sensors, the algorithm acquires real-time environmental information, establishes or updates the USV's environmental model, and employs an online learning algorithm to adjust the control strategy online. It monitors the USV's navigation status in real time and adjusts the controller's output based on deviations between feedback information and the desired state, enabling the USV to respond quickly to environmental changes and navigate stably. Multi-sensor information fusion technology is used to fuse information from different sensors, improving the accuracy and reliability of environmental perception. By fusing information from different sources, the USV's adaptability and robustness to complex environments are enhanced. Robust control strategies are employed in the control algorithm design, and the algorithm is verified and tested in a simulation environment. Through these steps, the USV can gradually adapt to new environments and improve control performance.

The application discloses a method, device and equipment for optimizing a power grid safety domain based on a denoising diffusion model. The method comprises: screening condition samples close to a safety boundary from power injection samples of a direct current power system in a closed-loop learning manner based on solvability of a power flow equation; inputting the condition samples into a denoising diffusion model, and converting random noise into candidate samples close to the safety boundary under the condition sample constraint through the denoising diffusion model; verifying the candidate samples based on solvability of the power flow equation; and updating the safety boundary of the power grid safety domain of the direct current power system based on the candidate samples that pass the verification. The method of the application realizes efficient characterization and fast convergence of a static voltage safety domain of a direct current system under the premise of ensuring accuracy, solves problems of a traditional method in terms of calculation complexity, boundary conservativeness, sample utilization and the like, and can provide efficient and reliable technical support for safety evaluation and operation boundary prediction of the direct current system.

The invention relates to the technical field of intelligent mine Internet of Things and edge intelligent computing, in particular to a coal mine data processing method and system based on cloud-edge collaboration, and the method comprises the steps: collecting coal mine data, and packaging the data into an entropy energy data capsule; constructing a virtual osmotic membrane model, and calculating an osmotic pressure difference as a priority by combining channel flow resistance and model difference; if the fingerprint is larger than a threshold value, the fingerprint is uploaded to the cloud, and otherwise, local crystallization storage is executed and the fingerprint is synchronized; the cloud updates the model and feeds back the parameter difference, and the edge dynamically adjusts the pressure difference calculation weight according to the parameter difference; according to the method, the security retention and cloud indexability of intercepted data are ensured, automatic balance between calculation task unloading and network transmission protection is realized, and the robustness of the system is greatly improved.

This invention provides a method for measuring the volume of liquid in a metering tank and a metering tank. The method includes: pouring a first liquid into the metering tank until the liquid level of the first liquid is a target liquid level within a target range; the relationship between the volume and the liquid level within the target range is a preset linear model; pouring out a second liquid from the target range, and determining the volume of the first liquid according to the preset linear model. The solution of this invention solves the problem of low accuracy in volume measurement results of the metering tank, reduces the influence of irregular internal components in the metering tank on volume measurement, and can effectively improve the uncertainty, accuracy, and stability of volume measurement in the metering tank.

The application discloses a drug and equipment evaluation method and device based on atlas annotation cooperation, equipment and a storage medium, and belongs to the technical field of medical big data processing. The method comprises the following steps: collecting, desensitizing, standardizing and quality screening of multi-source medical data, forming a standardized research sample based on a sample availability evaluation function; extracting medical entities and entity relationships, and constructing a medical ontology knowledge graph through a medical ontology edge confidence function; obtaining an optimized annotation result by guiding a small amount of manual correction through an annotation sample priority function; completing patient stratification by fusing multi-dimensional medical features through a patient comprehensive clinical feature function; comprehensively evaluating the target drug and equipment through a drug and equipment real world comprehensive evaluation index function and identifying risk signals; and feeding back abnormal evaluation results to the knowledge graph and the annotation model, and continuously optimizing through a system iterative gain function. The application can improve the data utilization efficiency, evaluation accuracy and system evolution capability of real world research of drugs and equipment.

The invention relates to a spaceflight research and development collaborative management and dynamic evaluation system and method based on OKR and agile development, and the system comprises a strategic target mapping module which is configured to set OKRs of all levels and carry out the dynamic association and binding with spaceflight research and development tasks; the agile task execution billboard module is configured to receive spaceflight research and development tasks associated with each level of OKR, and perform visual display, iterative process management and work-in-process quantity limitation on the spaceflight research and development tasks; the data integration and feedback module is configured to realize automatic updating of a spaceflight research and development task state and full-process data aggregation; and a value contribution assessment engine configured to generate a value contribution assessment report; and the output of the value contribution evaluation engine is fed back to the strategic target mapping module to drive the optimization adjustment of each level of OKR. According to the method, deep fusion of strategy and execution is realized, and normal form transformation from'man-hour management 'to'value management' is completed.

The invention aims to disclose an expansion bus system for expansion of a programmable logic controller, and relates to the technical field of signal transmission. At least one slave station module; wherein the master station module and the slave station modules are sequentially cascaded to form a closed annular data link, and the annular data link forms an expansion bus; the expansion bus adopts a differential high-speed physical layer and LVDS (Low Voltage Differential Signaling) transceiving circuits arranged in the master station module and the slave station modules; the master station module comprises a master control processor and a master station programmable logic device. The master station programmable logic device comprises an expansion bus sending interface and an expansion bus receiving interface which are used for being connected with an expansion bus. According to the invention, the communication efficiency, the anti-interference capability, the real-time performance and the system expansibility are obviously improved, and the requirements of a modern industrial control system on a high-performance expansion link can be met.

The application discloses a power system optimal scheduling method of electrolytic aluminum load participating in demand response, which comprises the following steps: firstly, constructing a double-layer optimal scheduling model with an upper-layer model of power system optimal scheduling of electrolytic aluminum load participating and a lower-layer model of an electrolytic aluminum enterprise optimal operation model; and secondly, solving the double-layer optimal scheduling model to obtain optimal scheduling results containing unit scheduling and electrolytic aluminum load scheduling. The application can effectively guarantee the maximization of the income of the electrolytic aluminum enterprise while meeting the system regulation and control demand and reducing carbon emission.

The utility model discloses a kind of Russian block game toy components, including a support plate, the bottom outer edge of which is equipped with symmetrical arc structure, for achieving left and right swing after placing Russian block;Multiple Russian blocks, which are made by combining together through magnetic attraction structure from several building blocks units, the shape of Russian block includes at least one of I shape, T shape, L shape, field shape, S shape, Z shape;Building block unit is equipped with magnetic attraction block around, for realizing the magnetic connection between building block unit;It also includes a dice, which is a cubic structure, and different block patterns are respectively arranged on its six faces, and each pattern corresponds to a Russian block shape building block unit;The toy can be freely combined into Russian blocks of various shapes, and the play is flexible and variable;The swing function is realized by the arc design of the bottom of the support plate, and the uncertainty and interest of the game are enhanced;Building block units are connected through magnetic attraction structure, and the assembly is firm, not easy to scatter, and convenient to carry and store.

This invention relates to the field of shield tunnel equipment technology, specifically to a shield tunnel muck removal device. It includes a muck conveying component assembly on one side of the shaft body, used to transport muck from the bottom of the shaft body to the outside. The muck conveying component assembly includes a drive base assembly, a height control assembly, a conveying chain assembly, an in-shaft stabilization assembly, and a chain bucket assembly. Through the overall structure, this chain bucket muck conveying device can adaptively adjust to different shaft body depths. It eliminates the need for customizing and modifying the conveying height of the chain bucket conveyor for each shaft of varying depth. By controlling the position of the moving frame, the height of the chain bucket conveyor can be adapted to the shaft body depth, reducing working time and costs.

The application discloses a table tennis training device, which comprises a base, a table tennis ball collecting bin, a table tennis ball conveying pipeline and a table tennis ball serving device which are connected with each other on the base, characterized in that the table tennis ball conveying pipeline comprises a ball preparation ring channel which is fixed relative to the base and has an overall vertical circular ring shape; a slit is arranged on the inner side of the ball preparation ring channel along the ring shape; a connecting ring is further arranged outside the slit; a plurality of partitions are uniformly distributed along the ring shape on the inner side of the ball preparation ring channel; the partitions divide the inner cavity of the connecting ring into a plurality of ball spaces; a connecting rod is fixedly arranged at one end of each partition and passes through the slit and is fixed on the connecting ring; and a rotating shaft is arranged in the middle of the connecting ring and is in transmission connection with a conveying motor. The application can realize the adjustment of the serving angle range while maintaining good stability, can further generate the uncertainty of the serving angle through the increase of disturbance, and greatly improves the interestingness and effectiveness of the training.

The invention belongs to the technical field of mineral resource evaluation, and provides a metal resource evaluation method and system based on geological exploration, and the method comprises the steps: obtaining and fusing the multi-source geological exploration data of a target region, and constructing a three-dimensional geological model and a prior knowledge base; based on the three-dimensional geologic model and the prior knowledge base, establishing and operating a numerical simulation model for describing the metallogenic process of the target area, and outputting a metallogenic parameter field; calibrating the metallogenic parameter field and the numerical simulation model by using multi-source geological exploration data, and generating an assimilated geological process model; generating a three-dimensional resource model based on the geological structure represented by the geological process model in combination with the multi-source geological exploration data, and calculating to obtain probability distribution of resource quantity; the sampling space of the economic parameters is dynamically determined according to the probability distribution of the resource quantity, cash flow simulation is conducted on the three-dimensional resource model through the sampling space, the probability distribution of the economic evaluation indexes is finally output, and the accuracy and reliability of metal resource evaluation are improved.

To improve the stability and disturbance rejection performance of a single-inverter dual-parallel motor drive system, this invention proposes an adaptive speed control method for a single-inverter dual-parallel permanent magnet synchronous motor. First, an equivalent mathematical model of the system is established through non-singular coordinate transformation, revealing the coupling relationship between the inverter output voltage and the system control objective. Based on this, a basic control framework for the dual-parallel motor drive system is constructed by combining the design concept of a backstepping controller. Based on the deterministic equivalence principle, an adaptive average speed controller is designed, significantly enhancing the system's robustness to parameter mismatch and load disturbances. An adaptive differential speed controller is designed using the gradient search method, and through online gradient correction of the controller gain, the risk of instability caused by system singularities is effectively avoided.