1391 results about "Negative feedback" patented technology

The invention relates to the technical field of temperature control, and discloses a temperature error compensation method and system for a multi-heating-section coffee maker, and the method comprises the steps: synchronously collecting the real-time temperature value of each heating section, and calculating a temperature error index; constructing a thermal coupling interference model based on the physical distance between adjacent sections and the heat conduction characteristic of the medium; generating a dynamic decoupling compensation parameter according to the model and the error index (including constructing a symmetric interference matrix, calculating a coupling interference component, applying negative feedback and identifying a main interference component); a decoupling parameter is converted into a power adjustment instruction through a multivariable control algorithm (superposition of basic compensation and decoupling compensation, amplitude limiting and phase compensation); and heating output is updated according to the power instruction, and iterative execution is performed based on the error index change trend until the temperatures of all sections reach steady-state balance. The method can effectively model and compensate thermal coupling interference between sections, improves the efficiency of temperature error compensation, and achieves the quick and stable cooperative temperature control of multiple sections.

The invention discloses a fault ride-through hierarchical control method for a network-constructed converter, and the method comprises the steps: introducing a virtual resistor formed by fault current negative feedback into the voltage and current inner loop control of the network-constructed converter based on VSG control through a current inner loop dynamic amplitude limiting control layer after the converter enters a fault ride-through state, the size of the virtual resistor is adjusted in real time along with the amplitude of the fault current so as to carry out dynamic current limiting control on the virtual resistor; and the power outer loop dynamic compensation control layer dynamically adjusts an active power instruction value and a reactive power instruction value of the network construction type converter based on VSG control during the fault ride-through period according to the voltage drop degree of the power grid after the converter enters the fault ride-through state. And respectively performing active-frequency control and reactive-voltage control based on the active power instruction value and the reactive power instruction value. In addition, the method also comprises a state coupling and parameter self-adaption module. According to the method, the GFM converter can have better dynamic performance in the fault recovery stage.

The invention discloses a power industry intelligent question-answering multi-knowledge-base classification optimization method and system, and relates to the field of power industry knowledge base optimization. In order to solve the defects that an existing knowledge base is not suitable for a power industry knowledge base, the classification accuracy is poor, and retrieval results and answer quality are poor, the power knowledge base is classified according to division of actual business of a power enterprise to form a plurality of knowledge bases; outputting an initial result through a large language model; collecting feedback of the user and carrying out error tracing positioning on negative feedback; constructing a case library and performing classified management on cases; according to a multi-source classification verification result, storing a query fed back by a user into a corresponding case library; the weights of the case query are calculated and sorted; and designing and generating a classification prompt word structure, and guiding the large language model to perform classification optimization on query of the user. The method is mainly used for optimizing intelligent question and answer multi-knowledge-base classification in the power industry.

A behavioral feedback system is provided to facilitate shaping a subject's behavior during an activity by obtaining user input. The user input is obtained pursuant to user-selection of a behavior-related representation from a set of behavior-related representations, for an activity of a subject, displayed on an electronic device of the user. Each representation corresponds to a different potential behavior of the subject during the activity, and the selected behavior-related representation relates to a user-observed behavior of the subject during the activity. The method further includes determining, by one or more processors, a positive or negative feedback indication associated with the selected behavior-related representation, and generating a feedback signal to send to an electronic device of the subject to indicate to the subject the selected behavior-related representation and the associated positive or negative feedback indication.

The invention relates to the technical field of robot control, and discloses a mechanical arm trajectory planning control method and system based on a BAFARNN model. The method comprises the steps that a mechanical arm kinematics model is established, and a trajectory tracking problem is converted into a time-varying equation; designing a bounded adaptive function to activate a recurrent neural network model, defining an error function and constructing a dynamic equation; designing a piecewise adaptive coefficient function, and dynamically adjusting the gain according to an error norm and time; setting a Lissajous curve as an expected trajectory, and initializing a simulation environment; the joint speed is solved in real time through an ODE numerical method, and the mechanical arm is driven to move; actual motion data is collected and compared with an instruction, and closed-loop feedback control is triggered when the actual motion data exceed a threshold value. According to the method, rapid convergence is achieved through the piecewise adaptive coefficient function, the bounded activation function and the negative feedback mechanism are adopted to suppress noise, and high-precision and real-time trajectory tracking of the mechanical arm in the dynamic environment is achieved.

The invention discloses an anti-interference microwave electrically tunable filter regulation and control system and method, and particularly relates to the technical field of communication anti-interference, the interference suppression of microwave signals is realized through the following steps: firstly, based on a preset frequency range, monitoring the frequency spectrum change of the microwave signals in real time, and identifying the type and source of interference signals; when the microwave electrically tunable filter is initially tuned, a single-channel strategy is adopted, a preset suppression measure is executed according to interference frequency characteristics, and interference signals are effectively filtered out; finally, a feedback control mechanism is used, the performance of the filter is monitored in the adjusting process, the strategy is dynamically corrected, and the stability and high efficiency of the anti-interference performance are ensured; according to the method, the performance of the microwave filter is evaluated in real time through the environment change characteristic index and the environment complex characteristic index, the positive feedback or negative feedback signal is generated through the fuzzy reasoning model to serve as the basis for adjusting the work of the filter, and the response capacity to the interference environment is improved by adopting a feedback control mechanism; and the high-efficiency anti-interference performance is ensured.

The invention provides an outbound routing method and system based on multi-dimensional index coupling and large model decision, and the method comprises the steps: carrying out the preprocessing of the historical data of each line provider, predicting the future performance index through an LSTM neural network, and optimizing the prediction result through a Kalman filter, and eliminating the noise. In the route decision-making link, the system calculates the Q value of each line provider based on the deep Q learning network, comprehensively considers the call completing rate, average cost, negative feedback rate and other factors of each line provider, and intelligently selects the optimal line provider in combination with the user portrait, scene recognition and real-time load state. The system also constructs a complete feedback closed loop, continuously optimizes the model by collecting call result data, and automatically adjusts decision parameters. The call completing rate and the service quality of the outbound service are improved, and the communication cost is reduced.

The invention discloses a fast transient response Buck converter based on AOT control, which is compatible with the advantages of current mode control and AOT control, and is characterized in that an error amplifier is added in a negative feedback control loop, so that the precision of output voltage is improved, a current loop is stable, and the series resistance value of an output capacitor is not specifically limited; the change rate of the switching frequency in heavy load is reduced by using the improved self-adaptive turn-on time module, and the change of the switching frequency under different load current conditions is ensured to be small. The transient enhancement module is used for judging the output voltage, it is ensured that when the load current suddenly changes, the output voltage is fast and stable, overshoot and undershoot are reduced, and therefore the overall stability and reliability are improved. The sleep detection module Sleep is used for detecting a switching tube driving signal VCOMP so as to control the Buck converter to enter a dormant state, and therefore the purposes of reducing power consumption and improving efficiency are achieved.

The invention relates to a product recommendation optimization method based on user portrait dynamic updating, which comprises the following steps: acquiring user behavior sequence data, and analyzing based on behavior consistency indexes including time interval, intention change rate and interest inversion degree; when it is detected that the behavior path has a fault, frequent switching or reverse direction, revoking the update of the path to the user portrait and marking the path as a low credible behavior segment; before user portrait updating is triggered, the portrait mutation risk is judged according to the feature distribution difference between the current behavior and the historical portrait, the behavior uniqueness and the conversion closed loop condition, and when mutation is found, portrait updating is frozen and recorded to a to-be-verified sequence; based on self-consistent state recognition of a historical behavior track, local increment updating is carried out on a staged portrait dimension consistent with a current behavior; and before the recommendation result is generated, performing consistency evaluation on the recommendation target and the user portrait intention, if the alignment degree is lower than a preset threshold value, adjusting or reconstructing the recommendation content, and correcting the deviation label according to continuous negative feedback.

The invention relates to the technical field of industrial valve control, in particular to a floater control-based remote control and monitoring system for a quick-switching blind plate valve, which comprises a data acquisition unit, a cross-dimension data analysis unit and an instruction generation and feedback unit, and is characterized in that the data acquisition unit constructs a three-dimensional motion matrix through a floater trajectory tracking algorithm; an effective pressure fluctuation period is extracted in combination with a pressure-temperature coupling denoising algorithm, a cross-dimension data analysis unit extracts time-frequency fusion features by using a residual convolutional neural network, and dual verification of a fluid phase state is realized through a support vector machine and a dynamic time warping algorithm; and the instruction generation and feedback unit triggers a standard control strategy or a self-learning compensation mechanism according to the confidence coefficient, and corrects control deviation through a negative feedback optimization coefficient matrix, so that the problems of insufficient multi-source data fusion and poor complex working condition adaptability in the traditional technology are solved, accurate remote control and intelligent monitoring of the quick-switching blind plate valve are realized, and the working efficiency of the quick-switching blind plate valve is improved. And the leakage early warning success rate and the valve action reliability are improved.

The invention discloses a method and a system for regulating and controlling melting forming precision of a polymer laser powder bed and a method for improving the forming precision, and belongs to the technical field of additive manufacturing. Comprising the following steps: acquiring temperature distribution data in a polymer LPBF process; constructing a database based on the temperature distribution data and process parameters adopted for printing the current layer; based on machine learning, a polymer LPBF technological process accurate regulation and control model is established; training of the polymer LPBF technological process accurate regulation and control model is completed through the database, the mapping relation of technological parameters, the printing layer thickness and layer-by-layer temperature field distribution is established, a negative feedback mechanism of the technological parameters and the printing layer real-time temperature field is obtained, and accurate regulation and control of polymer laser powder bed fusion forming precision are completed. According to the method, the excellence of the reinforcement learning algorithm in the aspect of big data processing is utilized, the heat accumulation phenomenon in the forming process is improved, the defects of warping, caking and the like are eliminated, and the method has guiding significance for improving the precision and performance of polymer material LPBF process forming parts.

The invention relates to the technical field of measurement, in particular to an integrated sensing module for a dynamic weighing system, which comprises a physical domain, an environmental domain and a virtual domain, and realizes dynamic adjustment of parameters through cross-domain interaction so as to deal with high-frequency vibration and rapid temperature difference change in a complex environment. The physical domain is responsible for collecting multi-source data, the environment domain senses external interference in real time, and the virtual domain realizes time sequence feature extraction and dynamic model updating by combining the optimization capability of a recurrent neural network and reinforcement learning. According to the technical scheme, the real-time performance and adaptability of the system are remarkably improved, the environment change trend can be accurately predicted, the weighing strategy is adjusted in advance, and the error rate is controlled to be at an extremely low level. Meanwhile, by combining a negative feedback mechanism and objective function optimization, the sampling frequency is dynamically adjusted, and the energy consumption is reduced on the basis of guaranteeing the data processing efficiency. And deep fusion of wavelet decomposition, a dynamic normalization algorithm and a neural network model is adopted, so that the accuracy and stability of data processing are greatly enhanced.

The invention discloses a Selenium automatic script generation method and system based on an AI algorithm, and relates to the technical field of script generation. Preliminary setting of a neural network model is performed based on a target task, and a trained automatic script and a loss function are used to optimize neural network model parameters, so that the accuracy of the neural network model is improved; and applying the pre-trained neural network model to a new task by using a transfer learning technology, representing a performance index of the current neural network model through a state space, representing an adjustable parameter or structure of the neural network model through an action space, and performing reward or punishment according to the expression of the neural network model through a positive and negative feedback mechanism. And enabling the neural network model to output a final automation script. The script is automatically generated through the AIGC technology, the requirement for manual coding is reduced, the script generation efficiency is greatly improved, the pre-trained neural network model can quickly adapt to a new task, the workload of training from zero is reduced, and the task change coping capacity is improved.

Front end systems and related devices, integrated circuits, modules, and methods are disclosed. One such front end system includes a low noise amplifier in a receive path and a multi-mode power amplifier circuit in a transmit path. The low noise amplifier includes a first inductor, an amplification circuit, and a second inductor magnetically coupled to the first inductor to provide negative feedback to linearize the low noise amplifier. The multi-mode power amplifier circuit includes a stacked output stage including a transistor stack of two or more transistors. The multi-mode power amplifier circuit also includes a bias circuit configured to control a bias of at least one transistor of the transistor stack based on a mode of the multi-mode power amplifier circuit. Other embodiments of front end systems are disclosed, along with related devices, integrated circuits, modules, methods, and components thereof.

The invention relates to the field of curriculum personalized adjustment, in particular to a curriculum learning personalized adjustment method and system of an enabling system, and the method comprises the steps: obtaining user information and historical learning data of a user when a learning instruction of the user is received, and recognizing target curriculum data of the user according to the user information and the historical learning data; acquiring historical behavior data of the user, identifying a concentration attenuation trend of the user according to the historical behavior data, and segmenting the target course data into a plurality of course segments according to the concentration attenuation trend; when the user learns the curriculum segment, behavior data of the user is acquired in real time; judging the concentration feedback state of the user according to the behavior data; when the concentration feedback state of the user is positive feedback, generating a learning efficiency enhancement strategy and a composite excitation strategy; and when the concentration feedback state of the user is negative feedback, generating a cognitive load regulation strategy and a pressure balance strategy. The learning state of the user is judged according to the behavior data, and the system can flexibly adjust the learning strategy.

The invention provides spiral feeder and metering scale integrated equipment for improving feeding precision, and relates to the technical field of metering and feeding of powdery and granular materials. According to the integrated equipment, a frequency converter is additionally arranged on a spiral scale, so that a constant-speed spiral metering scale is changed into a speed-regulating spiral metering scale, a signal separator is introduced to divide a PID negative feedback signal output by an instrument into two paths, the two paths respectively control a frequency converter of a steady-flow spiral feeder and a frequency converter of a metering screw, and meanwhile, a speed measuring sensor is additionally arranged on the spiral scale; and synchronous double-closed-loop control is realized. The spiral scale solves the problems that when an existing spiral scale is used for metering powder, flow is unstable, and arching, jet flow, blocking and the like are prone to occurring, the dynamic deviation can be controlled within 0.5%, the feeding precision and stability are remarkably improved, and the spiral scale is suitable for metering and feeding of powdery and granular materials in the industries of cement, chemical engineering, metallurgy, ceramics, grain, transportation and the like.

The utility model provides a flue gas treatment energy-saving system based on a PLC (Programmable Logic Controller), which solves the problems of high energy consumption and resource waste when the existing flue gas treatment energy-saving system is shared by a plurality of vulcanizing machines. Comprising a main induced draft fan and a flue gas pipeline used for conveying flue gas, the main induced draft fan is connected with the flue gas pipeline, and the main induced draft fan comprises a main induced draft fan frequency converter; the system further comprises a vulcanizing machine electric control cabinet and a PLC, the vulcanizing machine electric control cabinet is electrically connected with the input end of the PLC, and the output end of the PLC is electrically connected with the main induced draft fan frequency converter. The input end of the PLC is further electrically connected with a negative feedback adjusting module used for comparing data of the PLC. The device is widely applied to the technical field of flue gas treatment in the tire industry.

The invention discloses a microwave cold noise source fusing TEC temperature control and noise temperature compensation technologies, and belongs to the technical field of microwave radiometer calibration. The device comprises a cold source module, a noise compensation module and a constant-temperature control module, wherein the cold source module generates a low-temperature noise signal through a field-effect tube and a terminal resistor; the noise compensation module detects environment temperature change in real time based on a thermistor and a Wheatstone bridge, drives a noise diode to generate a compensation signal, couples the compensation signal with a cold source noise signal after attenuation, and counteracts noise temperature deviation caused by the environment temperature. The constant temperature control module adopts a platinum resistance sensor and a PID algorithm to control a Peltier element in a closed-loop mode, and accurate adjustment (+ / -0.1 DEG C) is achieved. According to the invention, noise compensation and TEC negative feedback temperature control technologies are combined, so that the noise temperature of the system is stabilized in a range of + / -0.1 K for a long time, the measurement precision and reliability of the microwave radiometer in an outdoor complex environment are remarkably improved, and the method is suitable for scenes of remote sensing detection, unmanned aerial vehicle monitoring and the like.

The invention discloses an ultrahigh-precision low-noise band-gap reference circuit, and relates to the technical field of integrated circuit design, the ultrahigh-precision low-noise band-gap reference circuit comprises a starting turn-off circuit, a reference core circuit, a high-order temperature compensation circuit and a digital trimming circuit, the starting turn-off circuit is connected with the reference core circuit, and the high-order temperature compensation circuit is connected with the digital trimming circuit through a Brokaw type band-gap reference topological structure. Accurate compensation of the voltage is achieved through deep negative feedback of the operational amplifier and a high-order temperature compensation circuit, and the temperature drift of the reference voltage is as low as 0.5-2 ppm / DEG C (-40 DEG C to 130 DEG C) and is increased by 5-10 times compared with a traditional band-gap reference (5-10 ppm / DEG C). The power consumption of the system can be saved by turning off the circuit when the circuit is not used, meanwhile, the digital trimming module is added to replace laser trimming in traditional engineering, the upper limit of the trimming range is improved, high-order temperature compensation and the digital trimming circuit are introduced, the precision of output voltage is improved, different devices are replaced, and the noise of the circuit is reduced. The problems that a traditional high-voltage band-gap reference temperature coefficient is high and noise is large are solved.

The invention provides a control method of a three-phase four-wire system inverter circuit and an inverter, and the method comprises the steps: obtaining a real-time output current of the three-phase four-wire system inverter circuit, carrying out the coordinate transformation of the real-time output current, obtaining a direct-axis current, a quadrature-axis current and a zero-sequence component, and obtaining a first control quantity according to the direct-axis current, the quadrature-axis current and the zero-sequence component; and obtaining a current average value of the three-phase four-wire system inverter circuit, obtaining a second control quantity according to a difference between the current average value and the current reference value, superposing the second control quantity to the first control quantity to obtain a target control quantity, and generating a driving signal according to the target control quantity. Therefore, in the process of generating the driving signal, negative feedback regulation on the target control quantity is realized according to the current average value, so that the driving signal generated according to the target control quantity can suppress a direct current component output by the three-phase four-wire system inverter circuit, the output stability of the three-phase four-wire system inverter circuit is improved, and the stability of the three-phase four-wire system inverter circuit is improved. And the control is simple, and the cost and the size are reduced.

The invention relates to the technical field of automatic control, in particular to a positive damping frequency modulation control method, system and equipment for power stations and response loads, and aims at power generation of grid-connected hydropower, thermal power, photovoltaic, wind power and other power stations and frequency modulation participated by power grid demand side response loads such as electrolytic aluminum, charging stations and the like. Positive damping primary frequency modulation and AGC superposition frequency modulation control is provided, and a frequency modulation control mode meeting stable operation of a current and future novel power system is formed by superposing final values of a load instruction and a primary frequency modulation positive damping instruction; through a primary frequency modulation load initial value required by a power grid, a primary frequency modulation load instruction final value is formed after positive damping unit negative feedback PID control. According to the invention, the load and frequency of the plant network are controlled by using the operation parameters of the plant station through the positive damping stability rapid control method, the potential major safety and stability problem is solved, the implementation is simple and economical, and the method has an important basic support effect on the safety and stability of the operation of the plant network.

The invention relates to the technical field of pulse electric field measurement, and discloses a time drift compensation method of a pulse electric field measurement system based on model parameterization. According to the method, a parameterized model is constructed in simulation software, and the parameterized model is additionally provided with two servo zeroing compensation circuits on the basis of an original measurement system, and the two servo zeroing compensation circuits are connected to the output ends of two in-phase operational amplification circuits respectively to form a negative feedback loop used for dynamically suppressing low-frequency baseline drift; acquiring electric field time domain waveform data of the output end of the third in-phase operational amplifier circuit; calculating a transfer function of a pulsed electric field measurement system in the parameterized model, converting the transfer function from a frequency domain state to a time domain state through inverse Fourier transform, and then performing deconvolution on the transfer function of the time domain state and electric field time domain waveform data to obtain real electric field intensity; according to the invention, time drift caused by operational amplifier input imbalance, power supply fluctuation and temperature change is automatically compensated in real time, and the stability and precision of system measurement are improved.

The invention discloses a differential closed-loop negative feedback amplification circuit based on JFET geminate transistors, a low-noise amplifier is used for measuring weak voltage signals, discrete JFET field-effect transistors are used for forming an input stage of the low-noise amplifier, noise interference is reduced, meanwhile, extremely high input impedance can be provided by using the characteristic that the grid current of the JFET field-effect transistors is basically zero, and the differential closed-loop negative feedback amplification circuit based on the JFET geminate transistors is obtained. Mirror current is provided for a pair of JFET field effect transistors in the low-noise amplifier module through a current mirror of the low-noise amplifier, a closed-loop feedback structure of the low-noise amplifier can save one path of input for the JFET field effect transistors, so that the amplifying circuit can realize dual-channel input, and a dual-channel input structure can enable an accessed signal to be a differential signal, so that common-mode interference is effectively inhibited, and the reliability of the amplifying circuit is improved. Overall closed-loop negative feedback can achieve high gain stability, reduce nonlinear distortion, increase input impedance, reduce output impedance and improve the performance of the amplifier, and solves the problem of precise amplification and measurement of weak voltage signals in the aviation electromagnetic field.

A novel band-gap reference voltage source comprises a first PNP tube and a second PNP tube, base electrodes and collector electrodes of the two PNP tubes are grounded, and emitter electrodes of the two PNP tubes are connected with a negative feedback circuit; the negative feedback circuit comprises a first P tube and a second P tube, source electrodes of the first P tube and the second P tube are connected with a power supply, grid electrodes of the first P tube and the second P tube are connected and connected with a drain electrode of the second P tube, and width-length ratios of the first P tube and the second P tube are equal; the emitter areas of the first PNP transistor and the second PNP transistor are different; the negative feedback circuit is further connected with a starting circuit and a voltage and current output circuit, and the starting circuit is used for providing starting current for the triode. According to the novel band-gap reference voltage source, an operational amplifier for clamping is not needed in a circuit, reference voltage which is not influenced by temperature can be obtained, errors caused by the operational amplifier are completely eradicated, and the voltage value of the output reference voltage can be adjusted.

The invention discloses an industrial printer ink-jet control system based on negative feedback control, and relates to the technical field of industrial printers. The ink-jet control system for the industrial printer based on negative feedback control comprises a data input processing module which is responsible for receiving printing data input by a user, converting the printing data into a format which can be identified by the printer, and carrying out preliminary optimization and arrangement on the data at the same time; the data input processing module is connected with a high-speed data transmission module, and the high-speed data transmission module is connected with a sensor monitoring module, a feedback signal processing module, an optimization algorithm control module and a distributed local control module. The calculated amount can be reduced and the time required by deviation calculation can be shortened by simplifying the deviation calculation algorithm, and the deviation can be predicted and adjusted in advance by the predictive control algorithm, so that the system can quickly cope with the change of the ink jet state, and the printing efficiency and quality are improved.

The present invention discloses a Hadoop cluster task scheduling method based on a positive and negative feedback load scheduling algorithm, which is applied to a Hadoop resource allocation center. The cluster task scheduling method comprises: an idle computing node applies to a management node for a task execution request; the management node receives the task request and queries whether there is a historical record of running the task request; the historical records are compared and analyzed, and if the task configuration meets the resource requirements, the task is calculated in this computing node; otherwise, the computing node is re-matched with a new task request; and computing tasks can be dynamically allocated in cluster task scheduling according to the resource usage of different servers and the differences in server performance, thereby achieving efficient completion of computing tasks and improving CPU and resource utilization efficiency.

Front end systems and related devices, integrated circuits, modules, and methods are disclosed. One such front end system includes a low noise amplifier in a receive path and a multi-mode power amplifier circuit in a transmit path. The low noise amplifier includes a first inductor, an amplification circuit, and a second inductor magnetically coupled to the first inductor to provide negative feedback to linearize the low noise amplifier. The multi-mode power amplifier circuit includes a stacked output stage including a transistor stack of two or more transistors. The multi-mode power amplifier circuit also includes a bias circuit configured to control a bias of at least one transistor of the transistor stack based on a mode of the multi-mode power amplifier circuit. Other embodiments of front end systems are disclosed, along with related devices, integrated circuits, modules, methods, and components thereof.

The invention discloses an irrigation district canal network water transmission and distribution optimization regulation and control method and device, electronic equipment and a medium. The method comprises the steps that irrigation district irrigation data recorded by historical characters and irrigation district irrigation data collected by a sensor after informatization construction are collected; constructing a canal network hydrodynamic model; calibrating the canal network hydrodynamic model by using the irrigation data of the irrigation area, and generating a simulation data set by using the calibrated canal network hydrodynamic model; constructing a Transform model, and training the model by using the simulation data set; using the trained model and a particle swarm algorithm, and combining with an optimization target to find an optimal gate scheduling scheme; and acquiring actual irrigation data of the irrigation area applying the optimal gate scheduling scheme, and retraining the trained model by taking the actual irrigation data of the irrigation area as negative feedback. The water demand of crops in an irrigation area is more accurately met, and popularization and use and future model iteration are facilitated while optimal utilization of water resources is achieved.

The invention discloses a multi-modal data dynamic reasoning system and method based on a cognitive map, and relates to the technical field of map data management.The method comprises the steps that text, voice and image data input by a user are extracted, user data are analyzed, and a structured interaction record is generated in combination with a user identifier and a timestamp; analyzing historical interaction records, detecting continuous query events of the same user for similar questions, gathering negative feedback signals, analyzing repetition frequencies of repeated events in the used user, and analyzing feedback intensity coefficients of output repeated behaviors; positioning corresponding nodes in the cognitive map according to the repeated behavior characteristics, analyzing attenuation coefficients, activating associated alternative reasoning paths, and outputting a to-be-updated node set and candidate paths; and adjusting the node weight based on the attenuation coefficient, updating the weight according to the semantic relevancy of the candidate path, updating the atlas connection relationship, and outputting the optimized cognitive atlas. Abnormal conditions are identified, the knowledge graph node weight is adjusted, and the analysis accuracy is improved.

The invention belongs to the technical field of fluid machinery, and particularly relates to a novel tank type molten salt reactor main pump structure. Comprising a driving device, a sealing section, an air cavity section and a working section which are sequentially connected from top to bottom. The driving device is connected with the working section through a rotating rod; the rotating rod is rotatably connected with the sealing section and the air cavity section; the air cavity section comprises a third outer shell, an air outlet pipe and an air inlet pipe penetrate through the side wall of the third outer shell, an air outlet control unit is arranged at the end, close to the third outer shell, of the air outlet pipe, an air inlet control unit is arranged at the end, close to the third outer shell, of the air inlet pipe, and the air outlet control unit and the air inlet control unit are connected with the working section. The gas outlet control unit and the gas inlet control unit perform negative feedback regulation on the molten salt liquid level of the third outer shell, so that the molten salt liquid level is prevented from being in direct contact with the sealing section; the working section comprises an impeller, a guide vane, a fused salt inlet and a fused salt outlet, fused salt enters the third outer shell from the fused salt inlet, then flows into the impeller and the guide vane section through the pump inlet to be pressurized and stabilized, and finally flows out through the fused salt outlet.