4085results about How to "Protection security" patented technology

The invention belongs to the technical field of power grid regulation and control, and particularly relates to a park-level adjustable load-oriented resource regulation and control method and system, and the method comprises the steps: formulating an initial energy scheduling scheme according to the predicted energy demand in combination with the output characteristics of distributed energy in a park and the load condition of a power grid; and training a load regulation and control strategy model by adopting a reinforcement learning algorithm based on the initial energy scheduling scheme, and generating a personalized load regulation and control instruction for each energy consumption unit. According to the scheme, the real-time energy consumption data of the plurality of energy consumption units in the park, the output characteristics of the distributed energy and the power grid load condition can be comprehensively considered, a scientific and reasonable energy scheduling and load regulation and control strategy is formulated, and efficient utilization and green low-carbon development of park energy are realized. Meanwhile, the method also needs to have the characteristics of data sharing, accurate prediction, intelligent scheduling, rapid response and the like so as to adapt to complex and changeable energy requirements and environmental protection requirements of the park.

The invention relates to the technical field of data desensitization, in particular to an electronic commerce platform information security desensitization scheme analysis system based on artificial intelligence, which comprises a data classification module, an access evaluation module, a dynamic desensitization module and a security audit module. According to the method, the data of the e-commerce platform is intelligently classified and evaluated by adopting an artificial intelligence technology, dynamic desensitization and finer access control of the data are realized, various data access requirements can be dynamically met by evaluating the sensitivity level of the file and the security level of the access request, data processing is performed according to requirements, and the data processing efficiency is improved. The security and privacy of user data are effectively protected, through automation of security audit, the recognition efficiency of abnormal behaviors is improved, the transparency and traceability of overall data management are enhanced, through real-time analysis and response, the risk of data leakage is reduced, and the practical value of data and the fluency of service operation are kept.

The invention discloses a text keyword desensitization method, system and equipment based on a large model and a medium, belongs to the technical field of large model and natural language processing, and aims to solve the technical problem of how to automatically identify and desensitize sensitive information, improve the accuracy of sensitive information identification and further improve the text processing efficiency. According to the technical scheme, the method comprises the steps of data collection; preprocessing the data; marking sensitive information; segmenting the data; selecting a basic model; finely adjusting the model; training the fine-tuned large language model, and obtaining and storing the trained fine-tuned large language model; preprocessing the to-be-processed text data; detecting sensitive information, formulating a desensitization strategy and implementing desensitization processing, performing desensitization verification on the text after desensitization processing, and optimizing and improving the fine-tuned large language model according to a verification result; and packaging the optimized and improved fine-tuned large language model into an API (Application Program Interface) service for an application program to call.

The invention discloses a bad traffic monitoring method and system based on an LSTM and a clustering algorithm, belongs to the technical field of network security, and efficiently converges network traffic by using a BPF technology. The method comprises the following steps: accurately identifying fragmented traffic through an LSTM network, and capturing a complex dependency relationship by using a special memory unit structure of the LSTM network; performing session recombination by adopting an FCM clustering algorithm, restoring a complete network session, and quickly identifying malicious traffic through feature matching; and finally, timely treatment measures are taken for the confirmed malicious traffic. According to the method, rapid and accurate detection and identification of bad website traffic fragmentation behaviors are realized, and the technical problem that a traditional method is difficult to deal with is solved; through efficient caching and recombination mechanisms, the efficiency and accuracy of malicious traffic processing are improved; intelligent disposal measures are adopted, and it is ensured that malicious traffic is effectively restrained in time; the overall protection capability of network security is improved, and enterprise network resources and user data security are protected.

The invention relates to the technical field of data distributed storage, and discloses a distributed storage method and system for clinical test data, and the method comprises the steps: carrying out the ring signature encryption processing of the patient test data of a plurality of data centers, and obtaining a patient anonymization identifier and standardized clinical data; performing two-stage random storage node configuration to obtain an optimal storage node configuration scheme; constructing an LPPMM-DA data aggregation model based on the optimal storage node configuration scheme, and performing fragmentation processing on the patient test data to obtain a plurality of target data fragments; performing dynamic operation envelope analysis and alliance graph game calculation on the multiple target data fragments to obtain a storage resource scheduling scheme; according to the storage resource scheduling scheme and the anonymization identifier, distributed data block storage and access authentication are executed on the multiple target data fragments, data block storage distribution information is generated, a complete data access control system is constructed, and safe and reliable storage of clinical test data is ensured.

The invention provides a railway signal monitoring data generation method and system, and relates to the technical field of railways, and the method comprises the steps: carrying out the time-space correlation fusion processing of obtained carrier frequency characteristics, response coding information, the receiving time of transponder signal data, train operation speed data and train positioning data, and generating a monitoring data record under a unified coordinate system; adopting a rule-based data compression algorithm to adaptively select a compression rule and a compression rate to perform data compression on the monitoring data record; packaging the compressed monitoring data record into a monitoring data file in a standard format; and the data management server decompresses and decodes the monitoring data file, cleans, classifies and indexes the data in the monitoring data file by adopting a MapReduce parallel computing framework, stores the structured monitoring data into a distributed database, and performs fragmentation and redundant backup management on the database.

The invention discloses a multi-object and multi-model deployment and control early warning system. The multi-object multi-model deployment and control early warning system comprises a multi-source data fusion module, an efficient algorithm and model optimization module, a real-time data processing and analysis module, a multi-model cooperation and decision module, an adaptive learning and evolution module and a security and privacy protection module. And a more comprehensive and deep judgment result is provided, so that the police officers can make more accurate decisions in the operation process. The multi-model structure of the system realizes cooperative work through the support of each module, and finally achieves the goals of accurate data, timely analysis and reliable early warning. And due to the close relationship between each module and multiple models, the system has higher decision-making ability and adaptability when facing a complex dynamic environment.

The invention relates to a multi-client collaborative SAR image target identification method based on federated learning, and the method comprises the steps: collecting SAR image data, carrying out the preprocessing, generating a corresponding target identification tag, and obtaining a data set with a tag; building a federal learning framework, initializing and distributing global model parameters to each client; distributing local private data to each client according to the data set with the label, performing local model training by each client by using the local private data, and uploading updated model parameters to a server; the server aggregates the model parameters uploaded by all the clients, updates global model parameters, and distributes the updated global model parameters to all the clients; repeating the steps until the global model converges; and testing the trained global model, and selecting the tested global model to carry out SAR image target identification. Compared with the prior art, the method has the advantages that the accuracy of the model is effectively maintained while privacy is protected.

The invention discloses an environmental monitoring system based on an optical sensor, and relates to the technical field of environmental monitoring, and the system comprises the following components: a quantum entanglement module, an optical sensor integration module, a quantum measurement and data processing module, and a data transmission and sharing module. By integrating the quantum entanglement module, the optical sensor integration module and the quantum measurement and data processing module, high-precision and real-time monitoring of environmental parameters is realized, the quantum entanglement technology provides measurement precision and anti-interference capability superior to those of a traditional optical sensor for the system, the accuracy and reliability of data are ensured, and meanwhile, the quantum entanglement technology can be used for monitoring the environmental parameters in real time. Due to the design of high sensitivity and wide dynamic range of the optical sensor, the system can stably work under various complex environment conditions, and the efficiency and accuracy of environment monitoring are effectively improved.

The invention relates to the technical field of data management, in particular to a data asset sorting method, which comprises the following steps: preliminarily classifying all data assets in an enterprise, performing quality evaluation on the preliminarily classified data assets, generating a quality evaluation report, and performing data redundancy detection and optimization based on the quality evaluation result. Cleaning redundant data by adopting a deduplication algorithm and an optimization algorithm, carrying out data correlation analysis, generating a data correlation graph through a graph model and a statistical model, and determining the relationship between data sets; and finally, according to a correlation analysis result, integrating the data sets with high correlation into a unified data set by adopting a data fusion algorithm, and reducing a storage space through a data compression technology. According to the method, the accuracy of data classification and management can be improved, the data redundancy is reduced, the data storage and access efficiency is optimized, and the data security and privacy protection are enhanced through security evaluation and protection measures.

The invention discloses a micro-pressure oxygen cabin control system and a control method thereof, and relates to the technical field of medical treatment, and the system comprises an oxygen cabin operation monitoring module which is used for monitoring and obtaining information data of a micro-pressure oxygen cabin in real time during working, comprise the running state of the micro-pressure oxygen cabin, the air pressure value in the oxygen cabin, the oxygen concentration in the oxygen cabin and the vital sign state of a user in the oxygen cabin; and a data processing and analyzing module. According to the micro-pressure oxygen cabin control system and the control method thereof, a data processing and analysis module, especially a coupling relation analysis unit, is introduced, an oxygen and pressure dynamic change model is constructed by utilizing an algorithm, the safety of equipment and a user is protected, and the safety of the equipment and the user is improved through an intelligent and automatic control means. The problems of an existing micro-pressure oxygen cabin are effectively solved, the treatment effect and the use safety are improved, and the more advanced and reliable micro-pressure oxygen cabin control system and the control method thereof are provided for the medical field.

The invention relates to the field of machining tool tables, and discloses an automatic female needle assembling machine which is used for installing a female needle to a plastic shell and comprises a rack, the rack comprises an operation table and a protective cover, the protective cover is arranged on the operation table, and an operation space is formed between the protective cover and the operation table; the protective cover comprises a safety door capable of being opened and closed, the safety door comprises a door plate, a safety sensor and a door lock, the safety sensor and the door lock are both arranged on the door plate, the door lock has locking force so that the safety door can be in a closed state, and when external force exceeding the locking force is used for opening the door plate, the door lock is locked. After the safety sensor detects that the position of the door plate is changed, the automatic female needle assembling machine is controlled to stop working; and the manipulator is positioned in the operation space and is positioned on the operation table.

The invention relates to the field of group quality management, in particular to a group quality management system and method based on a dynamic data source. Comprising a data source management module, a quality data acquisition module, a quality data storage and management module, a quality data analysis and statistics module, a quality control and decision support module, a user management and authority control module and a system setting and management module which are connected through data interfaces, the data flow, the use frequency and the updating condition are monitored, and an early warning mechanism for data source connection abnormity, data access timeout and data conflict is arranged. According to the method, data integration and sharing can be improved, the accuracy of data quality is improved, user experience is improved, and safety is enhanced. According to the method, quality abnormity and fluctuation can be quickly and accurately found, targeted control measures are taken in time, quality problems are restrained in the bud state, and defective products and waste products are effectively reduced.

The invention provides a mechanical equipment fault diagnosis model construction method, a diagnosis method, a system and equipment, and relates to the technical field of mechanical fault diagnosis, and the fault diagnosis method comprises the steps: obtaining the vibration signal data of a rotating machine in real time; and inputting the vibration signal data into the fault diagnosis model to obtain the fault type of the rotating machine. According to the method, the specific fault type of the rotating machine can be accurately identified, so that measures can be taken in time for repair or maintenance, further deterioration of faults is effectively avoided, equipment safety is protected, production efficiency is improved, and maintenance cost is reduced.

The invention belongs to the technical field of low-voltage distribution cable fault identification, and particularly relates to a method for judging a series arc fault of a low-voltage distribution cable based on disturbance current characteristics, which comprises the following steps of: S1, acquiring current data of three-phase current of the cable; s2, analyzing the similarity of the current waveforms of the adjacent current periods by adopting a Pearson correlation coefficient PCC, and judging whether the cable has current disturbance or not; s3, when it is judged that current disturbance occurs, intercepting current data of a disturbance starting point and a plurality of current periods after the disturbance starting point, and recording the current data as disturbance current; calculating the time-frequency domain characteristic quantity of the intercepted disturbance current; and S4, inputting the time-frequency domain characteristic quantity of the disturbance current into a preset fault identification model, carrying out detection and identification on a cable series arc fault, and judging whether the fault causing current disturbance is the series arc fault or not. According to the method, the low-voltage distribution cable series arc fault can be efficiently, accurately and timely monitored and identified, and the safety and stability of a power system are improved.

The invention provides a device and method for improving charging and discharging safety, and the device comprises a bidirectional DC / DC module and a bidirectional DC / AC module which are connected with each other, and the bidirectional DC / DC module comprises a bidirectional Boost / Buck module and a bidirectional LLC module which are connected with each other; the bidirectional DC / DC module is connected with charging and discharging equipment, and the bidirectional DC / AC module is connected with a power grid; the bidirectional DC / DC module comprises a bidirectional Boost / Buck module and a bidirectional LLC module which are cascaded to realize a bidirectional DC / DC function; wherein the bidirectional Boost / Buck module is used for bidirectional step-up / step-down of direct-current voltage, and the bidirectional LLC module adopts an open-loop design and is used for electrical isolation of a charging and discharging equipment side and a power grid side. Based on the control strategy of the awakening circuit and the dormancy circuit, the working stress of the charging and discharging device is reduced, the service life attenuation of the hardware circuit is delayed, and the charging and discharging function failure is reduced, so that the purpose of improving the safety of the charging and discharging equipment is achieved.

The invention relates to an early warning event processing system of an oil and gas pipeline optical fiber early warning system, and the system comprises a preprocessing module which is used for receiving and preprocessing the real-time early warning data of a plurality of early warning events, and obtaining the preprocessed real-time early warning data; the initial merging module is used for determining a first similar early warning event in the plurality of early warning events according to the preprocessed real-time early warning data, and performing initial merging on the real-time early warning data of the first similar early warning event to obtain a merged early warning event; the dynamic upgrading and downgrading processing module is used for acquiring a multi-dimensional feature vector of the combined early warning event; using a deep learning model to adjust the initial early warning level of the combined early warning event according to the multi-dimensional feature vector to obtain an adjusted early warning level; and the output module is used for outputting the combined early warning event and the adjusted early warning level thereof. According to the system, repeated and redundant information can be reduced, and the early warning event processing efficiency, response speed and dynamic flexibility are improved.

The invention discloses an anti-direct-current component nanocrystalline current transformer and a using method thereof. The anti-direct-current component nanocrystalline current transformer comprises a current transformer body, and a magnetic core hole penetrating front and back is formed in the middle of the front side of the current transformer body. The device is provided with a secondary side open circuit detection and protection mechanism, so that imbalance of a magnetic field in the mutual inductor caused by disconnection of a secondary loop is effectively prevented, iron core magnetic flux saturation and potential high electromotive force generation are avoided, the safety of the mutual inductor and peripheral equipment is protected, the risk of power system faults such as fire disasters or short circuits is reduced, and meanwhile, the safety of the mutual inductor is improved. A live wire centering fixing mechanism is arranged, so that the stable centering position of a wire in a magnetic core hole of the mutual inductor is ensured, magnetic field distribution is optimized, the magnetic leakage phenomenon is reduced, the accuracy and stability of current measurement are remarkably improved, meanwhile, measurement fluctuation caused by wire shaking is reduced, and the measurement precision is improved. And more accurate data support is provided for harmonic analysis, fault detection and electric energy quality monitoring of a power system.

The invention discloses an optical storage grid-connected and off-grid operation method, which relates to the field of optical storage grid-connected and off-grid operation, and comprises a photovoltaic power generation unit, an energy storage unit, an intelligent switching unit, an energy management system (EMS), and grid-connected operation and off-grid operation controlled by the system, the grid-connected operation comprises the following steps: system connection: uniquely connecting a photovoltaic system with a power grid through an intelligent switch to realize second-level automatic grid connection; in the operation mode, the daily operation mode is grid-connected operation, and the energy storage system and the power grid jointly supply power to the load; and the system automatically or manually switches back to the grid-connected mode after detecting that the power grid recovers normal power supply. Through a current type control method, the voltage of the power grid is tracked, the magnitude of the output current is set, stable grid-connected operation is achieved, the islanding effect is avoided, it is ensured that the photovoltaic power generation system is automatically powered off when the power grid is powered off, the power grid safety is protected, and the charging and discharging process of the energy storage system is reasonably scheduled according to the load requirement and the photovoltaic power generation condition; the energy utilization efficiency is improved.

The invention relates to the technical field of flood drainage machines, and discloses an intelligent flood drainage robot and a water pump assembly thereof, the water pump assembly comprises a water inlet section, one end of the water inlet section is provided with a water inlet, a drainage pump is arranged in the water inlet section, and a first pressure sensor is arranged between the water inlet and the drainage pump; the water outlet section is connected with the drainage section, a second pressure sensor is arranged on the water outlet section, and a water outlet is formed in the end, opposite to the water inlet section, of the water outlet section; and the first controller is electrically connected to the first pressure sensor, the second pressure sensor and the drainage pump. The first pressure sensor and the second pressure sensor are arranged on the water inlet side and the water outlet side of the drainage pump correspondingly, the water pressure in front of and behind the drainage pump can be accurately monitored in real time in the series use process of the flood drainage robots, and the drainage pump is accurately adjusted to adapt to the drainage flow of the front-section flood drainage robot; safety of fan blades and a motor of the drainage pump is protected, and the service life of the drainage assembly is guaranteed.

The invention relates to an access control method for a data request, and aims to construct a comprehensive security access control system. The method comprises the following steps: receiving a data request of an access client, wherein the data request comprises access identification information and a user identification; and evaluating a risk level based on the request information, and implementing a special control strategy on the high-risk request. The strategy comprises checking a preset access white list and a black list: the request in the white list is directly released, the request in the black list only initiates access authentication to an authorized user, the access is allowed if the authentication is passed, and otherwise, the access is rejected; in addition, access authentication is also carried out on requests which are not listed in a white list or a black list so as to enhance security. According to the method, a multi-level protection mechanism is formed by combining risk assessment, black and white list management and user identity authentication, malicious requests are effectively defended, different users and request characteristics are flexibly adapted, the user experience is guaranteed while the intranet data security is improved, and good expandability and adaptability are achieved.

The invention discloses a glacier jump prediction and data sample enhancement management method, particularly relates to the field of glacier remote sensing monitoring, is used for solving the problem of accurate identification and processing of surface moraine covering type glacier local albedo abnormal effect, and aims at solving the problem of accurate identification and processing of the glacier local albedo abnormal effect by comprehensively analyzing the coupling relationship between spectrum and temperature and the spatial sensitivity of temperature gradient. And accurate identification and processing of the moraine covering glacier local albedo abnormal effect are realized. According to the method, main causes of albedo abnormity can be effectively distinguished, and an abnormal area is corrected in a targeted manner by scientifically selecting an optical and thermal infrared remote sensing fusion mode or an optical and radar remote sensing fusion mode, so that the glacier identification precision and the jump prediction accuracy are remarkably improved. Through multi-level remote sensing data correction and feature extraction, a high-precision data foundation is laid for subsequent analysis; in the process of generating an enhanced sample and optimizing a prediction model, the reliability and response speed of glacier jump prediction are further improved.

The invention belongs to the technical field of water conservancy gates, and discloses a water conservancy project flood prevention gate, method and system.The water conservancy project flood prevention gate comprises two barrier gate cement foundations, an anti-blocking mechanism and a cleaning mechanism are arranged on the two barrier gate cement foundations, and the anti-blocking mechanism comprises door bodies arranged on the sides, close to each other, of the two barrier gate cement foundations; an electric gate is slidably mounted on the inner wall of the front face of the gate body, anti-blocking assemblies are arranged at the tops of the two barrier gate cement foundations correspondingly, the electric gate is driven by a motor to ascend and descend, and automatic reciprocating motion of a cleaning strip on a sliding frame is achieved through meshing transmission of a tooth groove and a gear and the combined design of a connecting rod mechanism; according to the filter screen cleaning device, impurities attached to the filter screen are effectively removed, the filter screen is prevented from being blocked, the cleaning efficiency and the automation degree are greatly improved, frequent manual intervention is not needed, the labor intensity is reduced, meanwhile, potential risks caused by blocking of the filter screen are reduced, and it is guaranteed that water flows smoothly.

The invention discloses a network construction type energy storage transient performance improving method and system, and the method comprises the steps: dividing a maximum current threshold value of an energy storage current converter in a transient state into a current under a dq coordinate system, calculating the total impedance required by current limiting through combining the component of the A-phase current output by the energy storage current converter on a d axis and the voltage difference between the two ends, setting the virtual impedance, and carrying out the current limiting through the virtual impedance. Virtual impedance is introduced into a current control link to realize over-current limitation; and the current control link outputs voltage, and the output voltage acts on the VSG power control link to realize power angle control. The system comprises a current control module and a power control module. According to the invention, through adaptive adjustment of the virtual impedance and correction of the active power instruction value, the overcurrent is effectively suppressed in the low voltage ride through process, and the power angle of the system is maintained to be stable, so that the transient performance of the network-forming type energy storage system is improved.

The invention relates to the technical field of storage tank safety monitoring, in particular to a visual real-time monitoring method and system for a digital floating disc of a storage tank. The method comprises the following steps: carrying out real-time floating disc signal acquisition on a full liquid receiving floating disc to obtain real-time floating disc sensing signal data, and carrying out data filtering preprocessing on the real-time floating disc sensing signal data to obtain floating disc sensing signal data; performing Kalman filtering data fusion on the floating disc sensing signal data to obtain real-time floating disc sensing fusion data; performing floating disc abnormal state detection on the real-time floating disc sensing fusion data to obtain floating disc abnormal detection data; floating disc early warning information integration is carried out according to the floating disc anomaly detection data, so that an abnormal floating disc alarm strategy is obtained; data of the full-liquid-receiving floating disc auxiliary mechanism is obtained, prevention and control strategy analysis is carried out, an abnormal floating disc prevention and control strategy is obtained, and the abnormal floating disc prevention and control strategy is uploaded to a controller to execute a floating disc prevention and control task. The safety of the storage tank can be improved.

The invention provides an encryption method and system based on a symmetric cryptographic algorithm, and the method comprises the steps: carrying out the data classification of obtained sensitive data, and obtaining structured sensitive data and unstructured sensitive data; selecting a key value field in the structured sensitive data, inputting the key value field into a preset Fermat element test algorithm, screening out a large prime number as a basic key element, and combining the basic key element with a preset key combination rule to generate an encryption key; encrypting the structured sensitive data based on the encryption key by adopting a symmetric cryptographic algorithm to obtain encrypted structured data; encrypting the unstructured sensitive data to obtain encrypted unstructured data; and integrating the encrypted structured data and the encrypted unstructured data to generate simulated desensitized data. According to the method and the device, optimization processing is performed according to the characteristics of the structured sensitive data, so that the security of the sensitive data is effectively protected.

The invention discloses a novel simulation method for representing underground water level space-time evolution, and belongs to the technical field of computer machine learning. A novel simulation method for representing underground water level space-time evolution comprises the following steps: acquiring long-time sequence underground water level data based on an underground water long-term observation hole; according to the underground water level information, multiple hydrogeological parameter information is superposed, a two-dimensional underground water seepage equation is used as a physical mechanism, a neural network model with the physical mechanism in a region is constructed, and then time and space evolution of the underground water level in the region is simulated; reasonable use of groundwater resources can be enhanced, scientific and effective supervision is implemented, and a scientific basis is provided for protecting the safety of regional groundwater and promoting sustainable development of the groundwater resources.

The invention provides a ship dynamic stability modeling method and system based on multi-external force coupling, and the method comprises the steps: building a short-peak wave model based on wind wave characteristic parameters under different sea conditions and motion state parameters of a ship, and carrying out the calculation under ground coordinates to obtain a first wave surface equation; a first wave surface equation located in a ground coordinate system is converted into a ship body stable coordinate system through a coordinate and frequency conversion method, a second wave surface equation suitable for the surrounding environment of the ship is obtained, then a fluctuation pressure model caused by sea waves is established, the fluctuation pressure model is corrected through a Smith correction term method, and the ship body stable coordinate system is obtained. A multi-wave superposition fluctuation pressure model is obtained through a harmonic superposition analysis method; then a generalized disturbance force matrix is constructed based on a finite volume method, Archimedes restoring force, inertia hydrodynamic force and viscosity hydrodynamic force are calculated by adopting a specific calculation method, and then a ship motion model is established, so that the accuracy of the model is effectively improved, and the dynamic behavior of the ship can be more accurately predicted under the complex sea condition.

The invention relates to the field of solid state disk data encryption, in particular to a solid state disk data encryption method and system. The method comprises the following steps: performing partition table structure analysis on the solid state disk, and performing hard disk capacity distribution analysis to obtain hard disk capacity distribution data; acquiring to-be-written hard disk data; performing data partitioning processing on to-be-written hard disk data, and performing confusion encryption processing so as to construct a confusion encrypted data sequence; obtaining a pre-stored random picture; pixel channel decomposition is carried out on a pre-stored random picture one by one, and maximum data steganography distribution density calculation is carried out, so that the maximum data steganography distribution density is obtained; and based on the maximum data steganography distribution density, carrying out data distribution encryption steganography on a pre-stored random picture by using the confused encrypted data sequence, and carrying out visual deviation fine tuning so as to generate a visual fine tuning steganography picture. According to the invention, efficient and safe solid state disk data encryption is realized.

The invention discloses a multifunctional automatic laser cutting machine, and relates to the technical field of laser cutting, the multifunctional automatic laser cutting machine comprises a base, a support is fixedly mounted at the top of the base, a first motor is fixedly mounted at the top of the support, a threaded rod is fixedly mounted at the output end of the first motor, and a sleeve is in threaded connection with the threaded rod; a clamping device is arranged at the top of the base, a collecting device is arranged at the top of the base, a ventilation device is arranged at the top of the clamping device, and the clamping device comprises an electric push rod, cutting equipment, a laser head, a bevel rod, a cutting table, a clamping plate, a first bevel block, a connecting rod and a protective plate. A workpiece can be effectively fixed to the cutting table, the workpiece is prevented from moving or shaking in the laser cutting process, the cutting precision is improved, and the connecting rod moves to drive the protection plate to move.