31results about How to "Avoid dependency" patented technology

The invention discloses an automatic causal structure generation method based on semantic representation and logical reasoning of a large language model. The method comprises the following steps: acquiring an input text; performing semantic coding and clustering on the obtained input text by utilizing a large language model, and establishing a candidate causal variable set; causal relationship detection is carried out on the established candidate causal variable set based on anti-fact intervention and do-calculation; performing causal direction judgment, and generating a directed acyclic causal graph meeting logic consistency; and on the basis of the generated directed acyclic causal graph, natural language interpretation is generated by using a large language model, and logic consistency closed-loop verification is carried out. According to the method, automatic generation from the natural language to the causal structure is realized, the causal variable set is automatically extracted and constructed from the unstructured natural language text, the defects that variables need to be manually defined and modeling depends on field experts in the existing causal modeling process are avoided, and the labor cost and professional threshold of causal structure construction are remarkably reduced.

The application provides a multi-intention interactive game decision method and system for automatic driving path planning, which fuses current environment information and current state information by acquiring the current state information and the current environment information, extracts state features and intention features of a moving target from current scene features, fuses the intention features of the state features of the moving target, constructs a game relationship graph, calculates attention weights between an automatic driving vehicle and the moving target, weights and aggregates a value vector by a prediction probability and the attention weights of different preset intention features executed by the automatic driving vehicle, performs feature splicing, nonlinear conversion and decoding on the aggregated features, evaluates each game candidate trajectory, and selects a game candidate trajectory with the maximum game value score as the automatic driving path; the application reduces uncertainty in the interactive process, avoids the risk of sudden braking or collision caused by misjudgment, and has stronger environmental adaptability and generalization ability.

The application belongs to the field of medical materials, and particularly relates to a metal core enhanced double-barrier piezoelectric nano system and a preparation method and application thereof. The preparation method comprises the following steps: first, a core-shell structure of'metal@mesoporous titanium dioxide@mesoporous barium titanate' is prepared through a step-by-step reaction, and then the target nanoparticles are obtained through lipid wrapping. The system innovatively constructs a double-barrier structure, can self-trigger active oxygen under a physiological pressure of 4 mmHg, realizes endogenous pressure self-driven treatment of malignant ascites, has the advantages of low pressure, high catalytic efficiency, long-term structural stability and good biocompatibility, solves the problems that existing treatment methods are highly invasive and depend on exogenous stimulation, and provides a new safe and efficient technical scheme for the treatment of malignant ascites.

The utility model relates to the technical field of round steel processing, in particular to a round steel shearing device which comprises a rack and a bearing frame, a transfer frame is arranged at the top of the rack, a plurality of roll shafts are installed in the transfer frame, a first servo air cylinder is arranged at the top of the bearing frame, and a second servo air cylinder is installed on a piston rod of the first servo air cylinder. A piston rod of the second servo air cylinder is provided with a first fixing plate, the side portion of the second servo air cylinder is provided with a second fixing plate connected with the bearing frame in a fastened mode, and the first fixing plate and the second fixing plate are used for stably clamping round steel. And a shearing tool is rotationally installed at the top of the bearing frame, and a storage barrel is arranged at the bottom of the bearing frame and used for storing residues generated after the round steel is sheared off. According to the round steel shearing device, the working efficiency of round steel machining is improved, the working time of shearing round steel is shortened, the requirement for batch machining can be met, the working precision of round steel machining is further improved, the rejection rate of round steel machining is reduced, and therefore it is guaranteed that round steel machining meets the production standard.

The utility model discloses a high -efficient spare part removal mechanism for production line relates to spare part removal technical field, including side plate, the side plate bottom rotatory installation advances the belt, and the side plate side wall below fixed mounting motor, and motor drive end fixed mounting synchronous assembly, the synchronous assembly includes with motor drive end fixed connection's drive rod, drive rod side end rotatory installation advances the rod, advances the rod side end rotatory installation and advances the plate, advances the plate top rotatory installation and turns the rod, in the utility model, through single motor drive synchronous assembly realizes mechanical linkage, and drive rod, advances the rod and the rod, long connecting rod form integrated power transmission chain, and the conveying action is bound through the pure mechanical structure and is caught the action, completely avoids the program dependence and the interference risk of the multi -power source cooperation, solves the problem of not being in step from the root, and the production line is interrupted to be prevented because of the action misplacement, and reduces the shutdown loss.

The application relates to the technical field of glass, in particular to a manufacturing method, system and application of heat-bending-free 3D cover plate glass. The method utilizes laser to construct an induced prestress field on a glass substrate to release 50%-85% of target strain; then, single-side polishing fine adjustment is carried out, the polishing surface to be polished is divided into a center, an edge and a corner area, and stepped pressure is applied to compensate for the removal rate difference; a pressure buffer zone is dynamically generated at the junction of the areas, and the pressure is adjusted based on a smoothing algorithm to ensure that the first and second derivatives are continuous and the step mutation is eliminated. Through light-mechanical coupling stress regulation and dynamic continuous control, the application completely eliminates edge collapse and vibration marks, realizes micron-level curvature shaping, improves the glass surface type precision, optical uniformity and structural strength, and efficiently manufactures high-quality 3D cover plates without high-temperature heat bending.

This invention discloses a calibration system and method for extremely weak light radiance based on a cascaded integrating sphere, belonging to the field of optical radiation metrology and photoelectric detection technology. The system includes a first integrating sphere, an aperture tube, and a second integrating sphere. The aperture tube achieves large dynamic range light intensity adjustment through geometric attenuation. The second integrating sphere connects both a reference detector and a high-sensitivity detector to be calibrated, enabling online calibration and dynamic range bridging under the same radiance field. By adjusting the aperture, the light flux distribution is controlled, allowing the measurement ranges of the two types of detectors to overlap. This is used to perform correction processing related to non-ideal effects of single-photon detectors and high-precision measurement of extremely weak light radiance. This invention features a compact structure, stable and reproducible attenuation, and is suitable for weak light calibration and linearity testing in fields such as quantum optics and nighttime remote sensing.

The utility model discloses a heat preservation type bamboo and wood fiber integrated wallboard, and relates to the technical field of integrated wallboards. The heat-insulating and heat-insulating composite board comprises a base material layer, a micropore transition layer, a heat-insulating structural layer, a heat-reflecting structural layer, a decorative layer, a reflecting and heat-insulating layer and a protective layer which are sequentially stacked, a plurality of honeycomb holes are formed in the heat-insulating structural layer, and a plurality of through type pores are formed in the micropore transition layer. The heat reflection structure layer comprises a plurality of convex lenses and a plurality of concave lenses, wherein the convex lenses and the concave lenses are alternately arranged. A traditional material modification mode is abandoned, multiple thermal resistance mechanisms are formed through structural thermal insulation design, the thermal insulation effect is achieved, material dependence is avoided, the problems of material aging, pulverization and the like caused by long-term use are avoided, thermal insulation performance attenuation is reduced, and therefore the thermal insulation material has higher practicability.

The application provides a kind of pareto optimal design method of wireless charging coil, medium, coil and system, it is related to wireless power transmission technical field.The application obtains scene parameters and constraint conditions, defines the boundary conditions and input of optimization;By integrating the weight vector into the state space of reinforcement learning, using the powerful exploration ability of deep reinforcement learning as an efficient search tool, quickly traversing the complex solution space, thus efficiently and globally exploring and obtaining the pareto optimal solution set reflecting the complete trade-off relationship between transmission efficiency and anti-offset performance.The application uses deep reinforcement learning to efficiently explore the design space and obtain a complete set of pareto optimal solutions, allowing for quick selection of optimal coil parameters based on different design preferences, significantly reducing the design cycle, and ensuring that the designed coil achieves the optimal trade-off in physical performance.

The application discloses a P-wave burst signal modulation mode recognition method. The method utilizes the preamble characteristics of the P-wave burst signal, solves the problem that the signal information segment characteristics are difficult to distinguish in a low signal-to-noise ratio environment, and avoids the dependence of the traditional signal preamble autocorrelation recognition algorithm on the signal preamble prior information and the influence of the frequency offset. The method first utilizes the signal preamble spectrum to complete image construction, and utilizes the spectrum characteristics formed by different burst signal preamble rule codes to distinguish; secondly, the multi-semantic feature fusion network fully utilizes the texture features such as signal preamble spectrum edge contour extracted by the low-layer residual network, and fuses the high-level residual network to extract the abstract complex high-level semantic features of the signal spectrum, so as to solve the problem that the residual network only utilizes the high-level abstract semantic features and ignores the low-level features, and improve the burst signal modulation mode recognition performance.

The application provides a robot for repairing a Christmas tree and a method for repairing a Christmas tree, relates to the technical field of Christmas tree maintenance, and mainly aims to provide an unmanned repair device and a repair method which can replace manual work. The robot for repairing a Christmas tree comprises a chassis, a removing unit, a carrying unit, a repairing unit and a control unit. The chassis is a movable structure, one side of the chassis is inwardly recessed and forms a parking area capable of accommodating the Christmas tree, and the upper surface of the chassis forms a placing space. The removing unit is fixedly arranged on the chassis and at least a part of the removing unit can be sleeved on the Christmas tree in the parking area and remove the Christmas tree from the installation position of the Christmas tube. The carrying unit is fixedly arranged on the chassis and can transfer the Christmas tree between the parking area and the placing space. The repairing unit is used for fixedly installing the blowout preventer on the installation position. The control unit comprises a control module and a remote control module connected with each other, and the control module is connected with the chassis, the removing unit, the carrying unit and the repairing unit.

The utility model discloses a continuous production device relates to aerogel preparation technical field, wherein, the continuous production device, including the U -shaped tunnel box of two -sided opening, heating device, condensation reflux unit, heating device with condensation reflux unit all with the U -shaped tunnel box is connected. The technical scheme provided by the utility model can realize the scale, automation, continuous normal pressure production of silicon dioxide aerogel heat insulation material.

The invention relates to a battery health state estimation method and system based on a sequential network and physical information fusion, and a medium. The method comprises the following steps: collecting battery charge-discharge cycle data, extracting characteristics related to battery degradation, and preprocessing the characteristics; constructing a physical information neural network branch, designing a special sub-network group based on a physical mechanism of battery degradation, extracting physical characteristics related to the corresponding degradation mechanism from original characteristics by each sub-network, and outputting a health state prediction value based on the physical characteristics after fusion; constructing a time sequence neural network branch, and outputting a health state prediction value based on time sequence characteristics; and setting an adaptive fusion layer, and carrying out weighted combination on the predicted values of the two branches to obtain a final battery health state estimation value. According to the method, the battery health state estimation precision can be improved while the physical interpretability is kept, and the generalization ability of the model to different working conditions and battery individuals is enhanced.

The application relates to the technical field of data processing, in particular to a method for locating an abnormal source of an index platform based on a finance and tax field and an index platform. The method comprises the following steps: in the case that a query instruction of a user on a target index report is received, a corresponding pre-established full-link data blood relationship graph is acquired according to a target index report identifier in the query instruction, and a display result corresponding to the target index report is acquired according to the full-link data blood relationship graph; each blood relationship node of the full-link data blood relationship graph is used for representing a corresponding data calculation processing step and is associated with an operator rule for executing the data calculation processing step; a starting blood relationship node of the full-link data blood relationship graph is associated with pre-acquired original data and a corresponding type label; and the display result is an index calculation result corresponding to different dimensions, which is obtained by sequentially executing each data calculation processing step according to a data flow conversion dependency relationship based on the original data associated with the starting blood relationship node of the full-link data blood relationship graph.

The present application belongs to the technical field of subgrade engineering, and in particular to a cement-improved copper tailings subgrade construction compactness detection method based on image processing. The specific steps of the present application are as follows: S1, 3D scanning technology is used to obtain point cloud data of the subbase and the cement-improved copper tailings subbase layer after paving and rolling, and the volume of the cement-improved copper tailings subbase layer in the detection point range after paving and rolling is calculated; S2, SEM scanning technology is used to collect images of the surface of the cement-improved copper tailings subbase layer in the detection point range after paving, and the images are filtered and histogram equalization processed, and the area of the surface pores in the detection point range is calculated; S3, the material quality of the cement-improved copper tailings subbase layer in the detection point range is calculated; and S4, the compactness of the cement-improved copper tailings subbase is calculated. The present application can be used for non-destructive, rapid and scientific guidance of the cement-improved copper tailings subgrade construction compactness detection, and effectively controls the quality in the construction process.

The application provides a kind of slope support anchor rod reinforcing combination dynamic modeling system and method, by constructing anchor rod-slope dynamics coupling dynamic simulation model;According to the stress evolution process of target slope in different monitoring points in target slope and surrounding soil deformation information of anchor rod, the stress distribution structure of each region of target slope is obtained by dynamic inversion;Extract the displacement response characteristics of each anchor rod under different vibration loads, determine the deformation vector field of anchor rod reinforcing combination in slope support under different vibration loads through the mapping relationship of all displacement response characteristics and soil deformation under different vibration loads;According to the stress distribution structure and deformation vector field of each region of target slope, the simulation granularity of local stress simulation in dynamic simulation model is determined, and then the discretization level of dynamic simulation model is adjusted based on simulation granularity. Using the scheme of the application, the adaptive adjustment of local discrete level in anchor rod reinforcing combination simulation model can be realized.

Embodiments of the present application provide a display device, a furniture layout optimization method and related apparatus, and relate to the technical field of display. The method comprises: acquiring a panoramic image of a target space, and converting the panoramic image into a planar development diagram; modeling the target space according to the planar development diagram to obtain a three-dimensional model of the target space; performing layout optimization on furniture in the target space according to the three-dimensional model to obtain a layout optimization scheme, and controlling a display screen to display the layout optimization scheme; the layout optimization scheme comprises a comparison view of an original layout and an optimized layout. The above scheme significantly reduces the cost and operation threshold of the user for layout optimization, and greatly improves the user experience.

The application discloses a kind of multi-dimensional reference mode statistical analysis method and system based on single traversal, belong to academic literature metrology analysis technical field.The method includes: obtaining all nodes in reference network and initializing four dimensions statistics container, the four dimensions are reference direction dimension, publication year dimension, publication journal dimension and reference times dimension;All nodes in reference network are executed single traversal, in the process of traversal, the direction attribute of each node is updated as key reference direction dimension counter, the publication year of each node is updated as key publication year dimension counter, the publication journal name of each node is updated as key publication journal dimension counter, and the reference times of each node is accumulated to reference times accumulator;After single traversal is completed, according to the cumulative data in four dimensions statistics container, generate multi-dimensional reference mode analysis report;The analysis report includes forward reference paper quantity and backward reference paper quantity, year range of reference network, top five journals of reference times and average reference times of node.The application can complete four dimensions reference mode statistics simultaneously with once network node traversal, and output the panoramic knowledge portrait reflecting field development process.

The invention belongs to the technical field of software communication, and relates to an SCA model automatic migration method and terminal.The complete structure information of a to-be-migrated old version model is automatically loaded and analyzed through a model analyzer, then elements are automatically replaced by a mapping engine according to a preset mapping rule, a dependency relationship is rebuilt, and external reference is recorded; the method comprises the following steps of: firstly, distributing unique identifiers for new and old version models and recording change information through a version controller to realize visual tracking of change content, time and range, and finally, sequentially executing new version SCA grammar rule verification and UML grammar semantic verification through a verifier after the models are generated, so as to realize visual tracking of the change content, time and range. According to the method, the compatibility problem is found and fed back in time, a large amount of subsequent debugging work caused by lack of systematic verification in a traditional method is avoided, automation, process and standardization of SCA model migration are integrally achieved, migration efficiency and reliability are remarkably improved, and meanwhile version management experience is optimized.

The invention discloses a method for estimating a permanent wilting point based on moisture absorption and water content, and relates to the field of soil water content calculation. The method comprises the steps of obtaining moisture absorption and water content of to-be-estimated soil; the permanent wilting point is calculated through a permanent wilting point estimation model based on the moisture absorption and water content, and the expression of the permanent wilting point estimation model is shown in the specification, namely the permanent wilting point, the matrix potential under the drying condition and the moisture absorption and water content of the soil to be estimated. According to the method, the permanent wilting point of the to-be-measured soil can be rapidly obtained, reliable data support is provided for agricultural soil moisture content monitoring, irrigation decision making and crop moisture management, and the problems that in the prior art, estimation precision is low, errors are large, measurement is time-consuming, and labor cost is high are solved.

This invention relates to the field of power grid resource regulation technology, and particularly to a collaborative regulation method and platform based on virtual power plant resources. The method constructs a comprehensive transient power support index to accurately quantify the reactive power support and voltage stabilization capabilities, active power ramp-up voltage reduction impact, and capacity decay effect of a single node. This fundamentally resolves the coupling contradiction between active power ramp-up and voltage stability at a single node, achieving precise adaptation between the active power ramp-up rate and voltage safety. This ensures the local operational stability of the distribution network while fully leveraging the power regulation potential of a single node. A pure node-level decoupled control architecture is adopted, with all regulation calculations based on locally collected electrical quantities, inherent node parameters, and platform preset parameters. This eliminates the need for inter-node communication and collaboration, and avoids reliance on global cluster data. It features low computational complexity, fast response speed, and adaptability to the rapid control requirements of voltage transient fluctuations in the distribution network, while also avoiding the communication costs and data dependencies associated with inter-node collaboration.

This invention relates to a method for detecting line corridor anomalies in frigid regions based on a cross-scale gradient field sensing operator, and pertains to the field of line corridor anomaly detection technology. The invention aims to address the problem of low accuracy in existing line corridor anomaly detection methods. The invention includes: acquiring a multi-band remote sensing image to be tested; invoking a gradient field convergence characteristic operator and an anomaly sensing model to obtain an anomaly sensing map of the multi-band remote sensing image; the anomaly sensing model is obtained through the following method: inputting a sample table; invoking the gradient field convergence characteristic operator to obtain the gradient field convergence characteristic vector of the sample; and training a support vector machine classification model using the gradient field convergence characteristic vector and the sample state to obtain the anomaly sensing model. This invention is used to detect whether anomalies have occurred in a line corridor.

The application relates to an intelligent interaction method and an interaction screen system supporting multi-modal input and output, aiming to improve the intelligent processing capability of voice, text and visual data in complex interaction scenarios. Through millisecond-level voice and text segmentation, endpoint positioning, semantic label generation and multi-modal time alignment, dynamic extraction and priority scheduling of semantic anchor points are realized. Combined with high-confidence control flow, attention mask generation and fine-grained visual modeling, semantic distillation and cross-modal contrast learning are adopted to effectively optimize the consistency of visual features and semantics. Based on real-time network status and interaction demand, the processing granularity and sampling frequency are dynamically adjusted to ensure the adaptability and synchronization of semantic understanding. The technical scheme improves the accuracy, real-time performance and robustness of multi-modal interaction, and is suitable for intelligent voice assistants, human-computer interaction systems and the like.

The invention discloses a Type-C interface multiplexing method and device and RTK equipment, and belongs to the technical field of interface multiplexing, and the method is suitable for the Type-C interface multiplexing device comprising a Type-C female seat, a USB communication module, a serial port communication module, a first single-pole double-throw analog switch and a second single-pole double-throw analog switch. The overspeed sending positive signal end and the overspeed sending negative signal end of the female seat are connected with the common end of the first switch and the common end of the second switch respectively. The two switching ends of the first switch are connected with the overspeed sending positive signal end of the USB communication module and the sending end of the serial port communication module respectively. Two switching ends of the second switch are respectively connected with an overspeed negative signal sending end of the USB communication module and a receiving end of the serial port communication module; when the SBU signal pin of the female seat is not grounded, the two switches are switched to the first switching end, USB overspeed communication is started, and when the SBU signal pin of the female seat is grounded, the two switches are switched to the second switching end, and serial port communication is started. By implementing the invention, the problem that a single Type-C interface is difficult to multiplex the serial communication function while reserving the USB communication capability can be solved.

A BTA deep hole drill intelligent measurement and deviation rectification guiding method and system belong to the technical field of deep hole processing and manufacturing, and the method comprises the following steps: obtaining a main shaft load signal for controlling a drill bit to rotate, a feed shaft load signal for controlling the feed of the drill bit and a mechanical vibration signal of a machine tool, and judging whether the drill bit enters a cross hole interference area or not; if the feeding shaft enters the cross hole interference area, the driving mode of the feeding shaft is switched from a constant-speed driving mode to a constant-force driving mode, and the reduced feeding thrust serves as a target to drive the feeding shaft to move forwards adaptively; according to the main shaft load signal, the feed shaft load signal and the mechanical vibration signal, judging whether a drill bit passes through a cross hole interference area; and if so, smoothly recovering the original driving mode and feeding speed of the feeding shaft. A main shaft load signal, a feed shaft load signal and a mechanical vibration signal are obtained in real time to judge the state of a drill bit, a driving mode is switched in a self-adaptive mode, deviation rectification guiding is conducted on the drill bit when the drill bit penetrates through a cross hole, and the stability and precision of the drill bit are improved.

This application provides a method, apparatus, electronic device, storage medium, and program product for multimodal intelligent assessment of corrosion risk in process pipelines of refining and chemical plants. The method includes: acquiring multimodal operation and maintenance data of process pipelines in refining and chemical plants; performing structured processing on the multimodal operation and maintenance data to generate a structured dataset; inputting the structured dataset into a pre-trained natural language processing model, performing semantic parsing on the structured dataset according to a multi-head self-attention mechanism, and outputting entity relationships and feature vectors of the operation and maintenance data; creating a risk knowledge graph based on the entity relationships and feature vectors of the operation and maintenance data; and performing dimensional analysis on the risk knowledge graph using a clustering algorithm to generate corrosion risk identification results for process pipelines in refining and chemical plants. This avoids the problems of existing technologies relying on human experience and identification lag in judging whether there is a risk in process pipelines of refining and chemical plants, and improves the reliability of process pipelines in refining and chemical plants.

This invention relates to the field of air pollution control technology, specifically to a method for purifying exhaust gas from air pollution denitrification and desulfurization, including: cyclone spray desulfurization (using nano-scale composite absorbent slurry to efficiently absorb SO2 and remove particulate matter in a cyclone reactor), and two-stage catalytic denitrification (using nano-catalysts in a low-temperature zone to promote NO removal). x The process involves reduction, enhanced reaction in a high-temperature zone using a novel honeycomb ceramic carrier to support a vanadium-tungsten-titanium-based catalyst, deep synergistic purification (further removal of residual pollutants and aerosols through electrostatic dust removal coupled with oxidation adsorption), and an intelligent control system (real-time optimization of absorbent ratio, catalyst temperature, and flow rate parameters). This method addresses the problems of catalyst poisoning, high energy consumption, and insufficient treatment efficiency in traditional processes by modifying the absorbent with nanomaterials, employing temperature gradient catalytic reactions, and utilizing a multi-pollutant synergistic removal mechanism. The system achieves a desulfurization efficiency ≥98%, a denitrification efficiency ≥97%, and particulate matter emissions ≤10 mg / m³. 3 SO2 ≤ 35 mg / m³ 3 NO x ≤50mg / m 3 It meets ultra-low emission standards.

The application discloses a data processing device, a data processing method, a chip and an electronic equipment, and relates to the technical field of data processing. The data processing device comprises a storage module configured to store data; and a calculation module coupled to the storage module and configured to: access an original data vector stored by the storage module, wherein the original data vector comprises m data elements; split the original data vector based on a target k value to obtain a plurality of first data vectors; perform odd-even merge sort on data elements in each of the first data vectors to obtain a plurality of first ordered data vectors; and perform merge sort on data elements in the first ordered data vectors to obtain top-k data elements in the m data elements. The data processing device, the data processing method, the chip and the electronic equipment provided by the application can obtain the top-k data elements without a special hardware sorting network.

The invention discloses an energy system sustainability quantitative evaluation method, which comprises the four steps of system identification and feature extraction, system full life cycle process list extraction, system sustainability footprint quantification and system sustainability index calculation, and is characterized in that firstly, the architecture, mechanism and the like of a target energy system are identified, and feature data are extracted; then extracting full life cycle process list data, including system operation, equipment construction, raw material production and waste resource recovery; sustainability footprints of the system in the aspects of raw materials, energy, pollutants, economy and the like are quantified; according to the method, the limitation of qualitative expression is broken through, energy, environment and economy multi-dimensional quantitative evaluation of the whole life cycle is realized, a clear basis is provided for energy system optimization decision making, and the method has the advantages of systematicness, comprehensiveness, practicability and the like.

The invention relates to the field of loudspeakers, in particular to an inductance type loudspeaker and audio equipment, which comprises a loudspeaker bracket, drum paper, a dustproof cap, a voice coil, a damper, a wiring terminal, a lead and a magnetic field driving device. Wherein the cone paper is attached to the loudspeaker support, the magnetic field driving device is assembled at the bottom of the loudspeaker support, the damper is fixed on the inner side of the loudspeaker support, the upper portion of the voice coil is fixedly connected with the cone paper and the damper, the magnetic field driving device comprises an inductance device, a washer and an iron body, the washer and the inductance device are assembled with the iron body, and the damper is fixed on the inner side of the loudspeaker support. Therefore, the magnetic field drive of the loudspeaker is formed. And a winding part at the lower part of the voice coil is arranged in a magnetic field driving gap of the magnetic field driver. According to the inductance type loudspeaker, the inductance device is used for generating magnetic field force instead of a magnet which a traditional electrodynamic loudspeaker depends on, so that the problem that the traditional loudspeaker depends on the magnet can be solved, and the requirement for the magnet is reduced.