36 results about "Adaptive logic" patented technology

The invention discloses a self-adaptive logic resource configuration method and device based on a simulation teaching system and a medium, and belongs to the technical field of virtual simulation teaching. The method comprises the steps that collected teaching configuration information is analyzed into a teaching semantic map; key semantic nodes are screened out, and a target topological parameter set containing role constraint information and sequence constraint information is constructed; generating a candidate practical training topological graph, and carrying out comprehensive scoring on the candidate practical training topological graph; a simulation verification process corresponding to the comprehensive scoring result is selected for verification, and a simulation verification result is obtained; and performing problem diagnosis on the candidate practical training topological graph, and adjusting key semantic node attributes and configuration values in the target topological parameter set according to a diagnosis result to generate updated teaching configuration information and storing the updated teaching configuration information. According to the method, the logic resource configuration can be adaptively updated, so that the virtual simulation practical training topology continuously approaches the teaching target requirement, and the matching degree between the virtual simulation environment and the real teaching logic is improved.

The invention belongs to the technical field of robot communication interaction, and relates to an equipment capability self-description and negotiation method and device, an upper computer and a storage medium. The peripheral equipment is powered on to issue an equipment access instruction, so that the upper computer obtains the types and the number of the peripherals in the system in real time; state and capability information is obtained based on a unified standard frame, operation parameters and controllable range structuring are achieved, and a basis is provided for unified control; a control instruction template is automatically generated according to the information, multiple sets of adaptive logics are not needed, cross-device instruction and strategy multiplexing is supported, and the extension and operation and maintenance cost is reduced; the target execution instruction is issued through the preset verification strategy, problems can be found in advance when parameters cross boundaries or condition conflicts occur, wrong execution is avoided, the system stability is improved, peripheral automatic identification, capability unified expression, instruction template automatic generation and safe execution are achieved, and the compatibility and reliability of a robot system in a multi-device environment are enhanced.

The invention discloses a design method of an SCPI-based instrument automatic identification and unified control system, and the method comprises the steps: constructing a multi-interface instrument resource unified search framework through integrating a VISA library function and a multi-interface adaptive logic; and designing a multi-feature fusion instrument automatic identification algorithm, and reading instrument identification information through an SCPI standard command to realize accurate classification of general instruments. A layered resource management framework and a unified control interface are established, instrument core resource information is stored in a centralized mode, SCPI instruction differences of different manufacturers and different instruments are shielded, and recognition-management-control whole-process closed-loop control is achieved. Through deep fusion of a multi-interface instrument resource search framework, an instrument automatic identification and classification system, layered resource management and a unified control interface, automatic search and automatic identification of multi-model instruments and unified management and flexible switching of instrument resources are realized, and the compatibility and test efficiency of the test system to the multi-model instruments are improved.

The invention discloses a self-adaptive logic analysis method and system for a heavy overload fault of a power grid, and relates to the technical field of power grid operation fault analysis, and the method comprises the steps: recognizing the heavy overload condition, the heavy overload reason type and the thermal stability state of target equipment based on a multi-source data set; generating at least one candidate processing strategy in combination with the heavy overload reason type and the thermal stability state of the target equipment, performing load flow calculation deduction in a preset power grid range for each candidate processing strategy, calculating the load rates of the target equipment and all associated receiving equipment after load transfer to obtain a new load rate result, and storing the new load rate result in a server; and screening based on a new load rate result to obtain an optimal strategy set. According to the method, multi-source data fusion is utilized to diagnose heavy overload reasons and thermal stability states, global load flow calculation deduction is respectively carried out under the condition that different strategies are generated, and finally, the strategies are screened according to deduction results, so that the blindness problems of dependence on static fixed value judgment, dependence on artificial experience and lack of global risk pre-judgment are overcome.

To utilize unused or underutilized input and output pins without significantly impacting power consumption and die area, an adaptive logic module (ALM) of a programmable logic device can be implemented with an additional 2LUT to improve low function packing density and broad function mapping coverage. The 2LUT can also serve as a route-through to provide direct access to ALM registers with or without input inversion. The extended ALM can also utilize route-through configurations of the additional 2LUT to enhance the connectivity of the ALM inputs and outputs.

The invention provides an intelligent recruitment process control method and system based on a task state and an action type, and the method comprises the following steps: obtaining multi-dimensional input data of a recruitment process, converting the multi-dimensional input data into a standardized task state feature vector, the task state feature vector at least comprises a process progress quantized value, candidate interaction feedback parameters, a resource occupancy rate and a target achievement degree; constructing a collaborative decision-making system of a preset decision-making rule and a reinforcement learning model; according to the method, the multi-dimensional task state features are collected in real time, the execution strategy is dynamically adjusted in combination with the adaptation logic of the candidate action types, various changes in the recruitment scene can be flexibly responded, and accurate matching of the process and the real-time service scene is achieved.

The utility model provides a USB communication device with adaptive logic connection, which comprises a USB-to-I2C module and a voltage detection module, the communication device is connected with a computer through a USB connecting line, and the voltage detection module detects the power supply voltage VCC of the communication device through the voltage division of a resistor R1 and a resistor R2. And the output end Out of the voltage detection module is connected with the reset end Reset of the USB-to-I2C module. According to the communication equipment, the USB-to-I2C module enters a reset state through voltage detection in the power-on process or after power failure, an upper-layer application of a computer can automatically disconnect logic connection between the computer and the communication equipment due to the fact that the upper-layer application of the computer cannot identify the communication equipment, a USB connecting line does not need to be plugged, and after normal power-on, the upper-layer application of the computer can automatically disconnect logic connection between the computer and the communication equipment. The upper layer application can manually or automatically connect the communication device and start normal debugging of the device according to the situation.

The application discloses a kind of power grid overload fault self-adapting logic analysis method and system, it is related to power grid operation fault analysis technical field, it includes the overload situation of target equipment based on multi-source data group identification and the reason type of overload and thermal stability state;At least one candidate disposal strategy is generated in combination with the reason type of overload of the target equipment and thermal stability state, carries out power flow calculation deduction in preset power grid range for each candidate disposal strategy, calculates the load rate of target equipment and all associated receiving equipment after load transfer, obtains new load rate result, obtains optimal strategy set based on new load rate result.It utilizes multi-source data fusion diagnosis overload reason and thermal stability state, and respectively carries out global power flow calculation deduction in the case where different strategies are generated, finally according to deduction result screening strategy, to overcome the blindness problem of relying on static fixed value judgment, disposal relies on artificial experience and lacks global risk prediction.

The invention provides a wind disturbance control method based on adaptive parameters and a related device. The wind disturbance control method comprises the steps of collecting original data; inputting the acquired position, speed and attitude data observation values into an improved EKF model for wind disturbance estimation, and estimating a wind disturbance speed component and wind disturbance intensity under a navigation coordinate system in real time; self-adaptive correction is carried out on PID parameters of the attitude loop and the position loop; according to the corrected PID parameters of the attitude ring and the position ring, calculating to obtain a three-axis torque generation and an expected total thrust; according to a four-rotor motor thrust distribution model, the expected three-axis torque and thrust are converted into the expected speed of a motor, and the expected speed is output to the motor through a PWM driving module; and a motor rotating speed feedback value and unmanned aerial vehicle state data are collected in real time, the steps are repeated, and closed-loop control of collection-estimation-adjustment-control is formed. By applying the technical scheme of the invention, the technical problems of fixed wind disturbance resistance control parameters, inaccurate wind disturbance estimation and single adaptive logic of the quad-rotor unmanned aerial vehicle in the prior art are solved.

The invention relates to the technical field of coal mine underground safety control, and discloses a mining track interval locking device which comprises a track interval locking device main control box. The track interval locking device master control box is connected with the proximity switch, the display controller, the signal display box and the voice sound-light alarm annunciator through cables. A physical layer sensing and diagnosis subsystem, a self-adaptive logic control subsystem, a cross validation diagnosis unit and a prognosis analysis unit are integrated in the main control box. The physical health of the proximity switch is evaluated by monitoring the electrical energy fingerprint of the proximity switch in real time, and meanwhile, the passing time sequence is analyzed to adaptively update the overtime logic threshold value, so that misjudgment is reduced; and cross validation is carried out by fusing information of physical and logic levels, so that equipment faults and operation abnormalities can be accurately distinguished, early warning can be carried out on a working condition drift trend, and the diagnosis accuracy, the operation reliability and the intelligent level of the locking device are improved.

The invention relates to an enhanced adaptive logic circuit. In order to utilize unused or underused input and output pins without causing large unnecessary impact on power and die area consumption, an adaptive logic module (ALM) of a programmable logic device may be implemented with an additional 2LUT to improve small function package density and wide function mapping coverage. The 2LUT may also function as a pass-through path to provide direct access to the ALM register with or without input inversion. The enhanced ALM may also use an additional 2LUT pass-through path configuration to improve connectivity of ALM inputs and outputs.

The invention discloses a running state intelligent management system and method for environmental protection equipment, and relates to the technical field of intelligent management. The system comprises a partition deployment module, a leakage monitoring module, a plugging switching module and an early warning operation and maintenance module. The partition deployment module is divided into independent partitions, and a leakage monitoring sensor, a partition plugging actuator and a standby access assembly are deployed; the leakage monitoring module configures a sampling frequency and a leakage threshold value, and collects and compares leakage characteristic signals; after the plugging switching module verifies leakage, local plugging is executed, and a standby channel is switched to guarantee medium circulation; the early warning operation and maintenance module accurately locates a leakage position, calculates a risk level, and pushes early warning information containing a partition identifier and an accurate position. Through partitioned hardware direct connection and quantitative adaptation logic, the problems of difficult leakage traceability, blocking lag and global shutdown pain points of the environmental protection equipment are solved, instant leakage management and control, continuous operation and precise operation and maintenance of the equipment are realized, and the environmental governance effect and the equipment operation efficiency are guaranteed.

The invention provides a real-time high-frequency cross-scale collaborative dynamic adaptive FLA reservoir multi-target scheduling method, and belongs to the technical field of reservoir optimal scheduling. According to the method, a collaborative mechanism of data layer cross-scale fusion, modeling layer dynamic mapping, algorithm layer dual-mode optimization, risk layer extreme management and control and landing layer closed-loop correction is constructed aiming at a reservoir multi-target scheduling contradiction in a new energy access scene, and a flood algorithm is improved to design dual-mode adaptive logic to adapt to different time scale requirements. Through combination of extreme scene risk management and control and closed-loop feedback correction, water-light complementary peak regulation response delay is reduced, the ecological flow time sequence compliance rate is improved, and the flood control risk rate and the power generation loss are reduced. The method effectively breaks through the bottlenecks of cross-scale coupling fracture, insufficient algorithm adaptation and risk quantification deficiency in the prior art, is high in engineering practicability, and can be directly connected with an existing reservoir dispatching system.

The application discloses a one-key material taking control method of an ice cream machine. When the ice cream machine is in a heat preservation standby state and a stirring paddle is running at a low speed, a physical pressing signal of a user to a quick discharging key independently arranged on an operation panel is responded to, a stirring paddle driving motor is directly controlled to continuously run at a preset high speed for a preset time length, and the heat preservation standby state is automatically returned after the time length; a fixed high speed pushing material program is triggered through a special physical key, multi-stage operations such as menu selection and function confirmation are omitted, response delay, abnormality and complicated operation problems caused by adaptive logic or sensing false triggering in the prior art are effectively avoided, the taking material process is controlled by fixed parameters, the coupling degree of software and hardware is low, the system stability is high, and the operation convenience, response speed and use reliability of the household ice cream machine are obviously improved.

The application discloses a kind of based on simulation teaching system's self-adapting logic resource configuration method, equipment and medium, belong to virtual simulation teaching technical field, method includes: the teaching configuration information of collection is parsed as teaching semantic atlas;Filter out key semantic node, build the target topology parameter set containing role constraint information and sequence constraint information;Candidate practical training topology graph is generated, and it is comprehensively scored;The simulation verification process corresponding to the comprehensive score result is selected and verified, and simulation verification result is obtained;Candidate practical training topology graph is diagnosed and the configuration value in the target topology parameter set is adjusted according to the diagnostic result to generate updated teaching configuration information and store.The application can update self-adaptively to logic resource configuration, so that virtual simulation practical training topology is continuously approximated to teaching target requirement, and the matching degree between virtual simulation environment and real teaching logic is improved.

The invention provides a catering recommendation method and system applied to a digital multimedia online platform, and relates to the technical field of digital multimedia online platforms, and the method comprises the steps: firstly obtaining user catering interaction intention data and catering content supply time sequence data in the platform; constructing a user catering intention evolution model based on the user catering interaction intention data and a catering content supply time ordinal number in the platform, and forming an intention evolution link; establishing an intention supply time sequence adaptation logic in combination with the model and supply time sequence data; screening contents from a platform catering content library according to the adaptation logic to generate a dynamic recommendation scheme; and pushing the dynamic recommendation scheme to a user interface, capturing new interaction intention data, and fusing original data to update a model and adaptive logic, so that the dynamic change of the user intention can be accurately grasped, and the consumption experience of the user and the competitiveness of the platform are improved in combination with dynamic recommendation of supply time sequence characteristics.

The embodiment of the specification provides a processing system for an electrical secondary control loop in a high-power scene, and the processing system for the electrical secondary control loop in the high-power scene is modular collaborative processing system integrating real-time high-precision data acquisition, multi-level intelligent analysis and diagnosis, adaptive logic decision and digital twin simulation optimization, realizes closed-loop management and autonomous optimization from data to decision, significantly improves the overall reliability, action accuracy and response speed of the secondary control loop under high-power complex working conditions, and reduces the system debugging, operation and maintenance cost and potential risk through continuous verification and strategy optimization of the simulation module, and enhances the adaptability of the system to equipment state changes and operation mode conversion.

The invention relates to a sound source direction finding method based on a MUSIC spectrum, in particular to a MUSIC spectrum sound source direction estimation method based on adaptive Kalman filtering, and solves the technical problem that the existing MUSIC spectrum sound source direction estimation method is easily influenced by noise, so that the direction of an output sound source jumps randomly, or the dual requirements of noise suppression and dynamic tracking are difficult to consider. According to the method, the adaptive logic of target operation angular velocity calculation-motion factor-amplification factor-process noise scaling is constructed, and the scaling coefficient of the process noise covariance matrix is dynamically adjusted according to the motion state of the sound source, so that enhanced smoothing during low-intensity motion of the sound source is realized, and the tracking sensitivity is improved during high-intensity motion of the sound source; noise suppression and dynamic tracking can be realized at the same time; meanwhile, a parameter collaborative optimization mechanism of the MUSIC spectrum estimation method and the Kalman filtering method is adopted, the advantage of high resolution of the MUSIC spectrum estimation method is reserved, and global optimal balance of noise suppression and dynamic tracking is achieved through parameter differentiation configuration.

This invention relates to a sound source direction finding method based on the MUSIC spectrum, specifically a sound source direction estimation method based on adaptive Kalman filtering. It solves the technical problems of existing MUSIC spectrum sound source direction estimation methods being susceptible to noise, resulting in random fluctuations in the output sound source direction, or failing to simultaneously meet the dual requirements of noise suppression and dynamic tracking. This invention constructs an adaptive logic for calculating the target's angular velocity, motion factor, amplification factor, and process noise scaling. It dynamically adjusts the scaling factor of the process noise covariance matrix according to the sound source's motion state, achieving enhanced smoothing during low-intensity sound source motion and improved tracking sensitivity during high-intensity motion, thus simultaneously achieving noise suppression and dynamic tracking. Furthermore, it employs a parameter co-optimization mechanism combining the MUSIC spectrum estimation method and the Kalman filtering method, retaining the high-resolution advantage of the MUSIC spectrum estimation method while achieving a globally optimal balance between noise suppression and dynamic tracking through differentiated parameter configuration.

The invention discloses an automatic testing method for automatically recording a manually executed test case, and relates to the technical field of software automatic testing, and the method comprises the steps: synchronously collecting an interactive operation event, hardware state data and environment parameters of a user on to-be-tested equipment, and generating an original recording file; extracting a multi-dimensional feature descriptor of the control by using an image recognition algorithm, and converting the recorded data into a structured test case; the fluctuation condition of hardware data during recording is analyzed, and environment dynamic adaptation logic is implanted when a basic script is generated; in the script execution stage, the physical parameters of the to-be-tested device are monitored in real time, the pressing duration or waiting interval of the operation instruction is dynamically corrected according to the adaptive logic, and closed-loop verification is conducted on actual feedback information in combination with the environment parameter state. According to the method and the device, an environment perception and real-time compensation mechanism is introduced into the script, so that the problem of execution interruption caused by hardware performance fluctuation or UI fine tuning is solved, and the stability and the result accuracy of automatic testing are improved.

The invention discloses an occupational disease hazard early warning method, system and terminal based on environment real-time big data, and relates to the technical field of occupational disease protection, and the method specifically comprises the steps of data acquisition and processing, data coupling, threshold adjustment, early warning triggering and linkage disposal. According to the method, the multi-dimensional indexes of the working environment and the physiological signals of operators are synchronously collected through the wearable device, the collected original data of each dimension are preprocessed, interference and abnormal data are removed to guarantee the data quality, the environment-physiology-working condition three-dimensional coupling model is constructed in combination with the working condition information, and the working condition information of the environment-physiology-working condition three-dimensional coupling model is obtained. A framework optimization data processing flow combining edge computing and cloud computing is adopted, dynamic threshold iterative adjustment is carried out based on a comprehensive risk assessment value, the technical core is to realize data deep coupling through comprehensive acquisition and standardized preprocessing of multi-dimensional data in combination with operation condition information, and then dynamic threshold adaptive logic is adopted to realize dynamic threshold iterative adjustment. And the risk assessment process fully fits the operation scene change and individual difference.

The invention provides an intra-core bus parameterization design method and device, electronic equipment and a storage medium, and relates to the technical field of digital processor design. The method comprises the following steps: reading a data file containing interface description and function channel configuration, analyzing to obtain a corresponding relationship between a client interface and an internal uniform interface, and automatically generating a corresponding logic structure according to an enabling state and an attribute parameter of a function sub-module, so that adaptive logic can be generated based on interface mapping; and a bus circuit description file capable of being synthesized is generated in combination with configuration parameters, so that integrated generation of interface adaptation, function cutting and structure construction is realized. According to the technical scheme, the flexible configurability of the bus structure can be kept when different project requirements are met, repeated labor caused by manual coding can be reduced, the design risk caused by inconsistent modification can be reduced, and the development efficiency and maintainability of the bus can be improved.

This invention discloses an adaptive pre-emphasis LVDS circuit, including a driving unit and an adaptive logic unit. The driving unit includes a first differential output terminal out_p and a second differential output terminal out_n. The adaptive logic unit includes a comparator, a logic module, and a current bias module connected in sequence. The first differential output terminal out_p is connected to the positive input terminal of the comparator, and the current bias module is connected to the driving unit. This invention also discloses an adjustment method for the adaptive pre-emphasis LVDS circuit. The adaptive pre-emphasis LVDS circuit and method disclosed in this invention solve the problem of high power consumption redundancy of the fixed pre-emphasis current in the prior art when the channel conditions are good or the data transmission rate is low.

The invention relates to the technical field of power system simulation and operation control, in particular to a simulation circuit and a capacity checking method of a network construction type energy storage adaptive micro-grid, which comprises a data processing unit, a grid architecture model and a network construction type energy storage module, and is characterized in that the grid architecture model comprises a section I bus, a section II bus, a transformer and a power transmission line; the system further comprises a load unit model and a power supply model. The energy storage unit model, the load unit model and the power supply model are connected with the I-section bus and the II-section bus in a high-voltage direct hanging mode. According to the invention, aiming at the design of the network construction type energy storage module, the capacity distribution and control strategy of the network construction type energy storage module and the adaptive logic of the existing micro-grid component are defined, and the problem that the existing simulation circuit has insufficient attention to the energy storage module is solved; the minimum energy storage capacity is determined by combining the existing load characteristics of the micro-grid through a standardized checking process of sub-bus and sub-working conditions, excess or insufficient capacity configuration is avoided, and the engineering economy and reliability are improved.

The invention discloses a time sequence signal and multi-modal data fusion analysis method. The method comprises the following steps that S1, a bracelet device sends time sequence signal information of the bracelet device to a device adapter through Bluetooth; s2, the equipment adapter receives an electric signal of the bracelet equipment; through arrangement of the equipment adapter, access of different wearable equipment is supported, new equipment only needs to expand adaptive logic, other modules are not affected, equipment compatibility and expansibility are improved, asynchronous processing is achieved through the buffering effect of the message queue, system blockage caused by data flood peaks is avoided, and the system reliability is improved. The method supports real-time processing of time sequence signals of thousands of bracelet devices per second, is suitable for a high-frequency electric data scene, realizes high-performance calculation, reduces delay and improves data processing efficiency in cooperation with the core capability of a stream processing engine and in combination with a filtering algorithm, and can improve the fusion calculation accuracy of multi-modal data in cooperation with an established feature engineering module.

The invention provides an intelligent self-adaptive control method and system for an elderly bathing deck chair combined with intelligent interaction, and relates to the technical field of elderly life nursing equipment.The intelligent self-adaptive control method comprises the steps that an intelligent interaction instruction input by an elderly is received through a waterproof touch panel, pressure, environment and contact sensing signals are synchronously collected to start a control process, and an initial control signal is generated; the method comprises the following steps: adjusting an adjustable lying assembly based on an initial control signal, optimizing a fitting state in combination with a contact sensing signal, generating posture adjustment data, linking a bidirectional washing and nursing system, a multi-part massage system and a temperature control water supply system according to the posture adjustment data, constructing a cross-system collaborative logic to generate a linkage signal, and carrying out multi-part massage on the two-way washing and nursing system. Operation feedback, follow-up instructions and dynamic contact signals of all the systems are collected in real time, parameters and the angle of the deck chair are dynamically adjusted to construct pre-judgment type adaptive logic, safety and environment dynamic signals are collected, cooperative operation is controlled by combining the adaptive signals till the instructions are completed, and ending signals are generated. Intelligentization, comfort and safety of the bathing deck chair for the old are improved.

The invention discloses a scale-adaptive logic comprehensive optimization circuit representation learning method, and belongs to the technical field of integrated circuit design automation. Comprising the following steps: constructing circuit diagram data, and extracting node features, edge connection relationships and node depth information; a scale adaptive graph encoder is constructed, a double-layer GCN and a multi-scale feature fusion module are adopted, and scale adaptive node representation is generated through multi-hop neighborhood aggregation, circuit perception gating and attention fusion; performing hierarchical pooling based on the node depth to construct a hierarchical graph sequence; carrying out embedded coding on the optimized sequence and injecting position information to obtain sequence representation; establishing bidirectional association between a circuit structure and optimization steps through a dynamic graph-sequence adaptive interaction module, and generating a context sensing target sequence; and a Transform decoder is used for carrying out sequence modeling and predicting a quality result track. According to the method, through scale self-adaption and a dynamic interaction mechanism, the problems of representation learning and optimization dynamic modeling of a heterogeneous scale circuit are solved.

The invention discloses a vision detection method and system based on an infrared thermopile sensor, and belongs to the technical field of image recognition, and the method comprises the steps: displaying a random E character in an opening direction according to a preset rule; acquiring a gesture thermal image sequence of the subject in a non-contact manner by using an infrared thermopile sensor array; the thermal image sequence is processed and recognized through a BP neural network with the initial weight optimized through a genetic algorithm, and the gesture direction is obtained; comparing the gesture direction with the opening direction of the current E character in real time, judging whether to switch the size of the test E character or stop the test based on the self-adaptive logic of the accumulated correct response rate, and finally determining the vision level of the subject. Detection can be completed without contact, convenience and comfort are improved, recognition precision is improved in combination with the optimized neural network, the detection process is scientific, and the method is suitable for various screening scenes.

The invention provides a sampling time adaptive logic control circuit and an asynchronous successive approximation analog-to-digital converter. The sampling time adaptive logic control circuit comprises an input end, an output end and an adaptive logic control module, the input end is used for acquiring an enable control signal and a work clock signal of the asynchronous successive approximation analog-to-digital converter and a clock mark signal generated and output after the lowest bit of the asynchronous successive approximation analog-to-digital converter is quantized; the output end is used for outputting a sampling control signal for controlling the asynchronous successive approximation analog-to-digital converter to start sampling and a conversion control signal for controlling the asynchronous successive approximation analog-to-digital converter to start conversion; and the adaptive logic control module is used for performing logic operation to generate a sampling control signal and a conversion control signal according to the enabling control signal, the working clock signal and the clock mark signal so as to control the asynchronous successive approximation analog-to-digital converter to be adaptively switched between a sampling stage and a conversion state. The sampling period is effectively prolonged, and the sampling precision of the analog-to-digital converter is improved.

The invention discloses a piezoelectric composite material element assembly tool and method, and belongs to the technical field of transducer manufacturing, the piezoelectric composite material element assembly tool comprises a base, a cover plate, a positioning fastening mechanism, a self-adaptive pressure control unit and a special tool connected with an external computer, traditional tin soldering is replaced with a bonding process, the contact area of a piezoelectric composite material and a metal soldering lug is enlarged, and the piezoelectric composite material element assembly efficiency is improved. The problems of few tin soldering points and insufficient strength are solved; coaxiality and parallelism of the cylindrical containing cavity and the flexible protection pad are guaranteed, and part damage caused by pressurization is avoided. Pressure-deformation adaptive logic and a temperature difference compensation coefficient are adopted, pressure distribution is automatically adjusted, thermal expansion is adapted, stress concentration is reduced, and the later falling risk is avoided; and the adhesive rheology monitoring and automatic adhesive supplementing are realized, high-frequency slight shock is realized, the problems of insufficient adhesive amount or too fast curing are solved, and the stable acoustic performance of the transducer is ensured.