9359results about How to "Improve protection" patented technology

The invention relates to power distribution network fault processing equipment applied to the technical field of power distribution, and aims to improve the fault prediction, diagnosis and processing capabilities of a power system. The equipment comprises a pre-training module, a neural network architecture module, a data acquisition layer, an edge calculation layer, a core processing layer, a context learning module, a reasoning processing module, an output and interaction layer and a continuous learning and improvement layer, and is characterized in that a large-scale pre-trained Transform model is utilized, and professional knowledge of a power system is combined; according to the method, deep understanding and analysis of a complex power grid state are realized, through multi-source data fusion, edge calculation and central cooperative processing, the equipment can monitor the power grid state in real time, accurately predict potential faults and provide intelligent diagnosis and repair suggestions, and model pre-training and optimization are performed by adopting self-supervised learning and federated learning technologies; using reinforcement learning to optimize a fault response strategy; the interpretability of the model is realized, and the decision transparency is improved.

The invention relates to the technical field of marine environment prediction, in particular to a marine environment multi-modal fusion prediction method and system based on digital twinning. The method comprises the following steps: capturing time-space correlation characteristics of multi-modal data of a marine environment based on a dynamic multi-modal graph neural network; performing multi-scale feature fusion on the space-time correlation features by using a multi-scale gating unit to obtain comprehensive feature representation; predicting the comprehensive feature representation by using a mixed time sequence prediction framework to obtain preliminary marine environment prediction data, including short-term dynamic modeling and long-term trend modeling; and performing noise fitting on the preliminary marine environment prediction data by using a generative adversarial network to generate final marine environment prediction data. According to the invention, through innovative combination of dynamic multi-modal data fusion, a mixed time sequence prediction framework and a multi-scale gating Tanh unit, the problems of insufficient data fusion, limited prediction precision and poor dynamic response capability in the traditional marine environment monitoring and prediction technology are effectively solved.

The invention provides a medical data privacy protection method and system based on artificial intelligence, and relates to the technical field of artificial intelligence, and the method comprises the steps: carrying out the feature analysis of medical data, building a scoring matrix, generating a privacy risk assessment result, dividing a security domain, and building a distributed cooperation mechanism through federal learning; preprocessing data at a local node, constructing a deep neural network model, encrypting gradient information by using a dynamic key matrix, and performing distributed aggregation operation and verification; forming a data privacy protection scheme; and performing identity verification and anomaly detection on the access request, and dynamically adjusting the access granularity. According to the method, the security and the flexibility of medical data privacy protection are improved, and meanwhile, the availability of the data is ensured.

The invention provides a distributed power data asset management privacy protection encryption architecture design method, which comprises the steps of generating a watermark with robustness and imperceptibility by adopting a content-based digital watermarking algorithm according to statistical characteristics of power data assets, and storing a watermark embedding process and an extraction result through a blockchain; a graph-based data model is adopted, the electric power data assets carrying the watermarks serve as nodes, the data flow relation serves as edges, and an electric power data asset consanguinity graph is constructed; for distributed storage of the blood relationship map, a P2P network topology is constructed by adopting a block chain and a distributed hash table, and blood relationship map data is stored in each node of an alliance chain in a distributed manner; and verifying the digital watermark information embedded in all circulation path nodes through which the power data assets pass in the blood relationship map, calculating the similarity between the extracted watermark and the original watermark, calculating the distortion rate, and judging whether the power data assets are tampered or not.

The invention belongs to the technical field of data security, and discloses a data management method based on a data resource security identification level, and the method achieves the automatic and intelligent decision making: achieves the data classification and the automatic identification of the security level through a machine learning and deep learning model, remarkably reduces the manual intervention, and improves the efficiency and accuracy. And dynamic real-time performance: in combination with a risk assessment model, the system can detect abnormal behaviors in real time and dynamically adjust a security policy in a data flow process, so as to ensure that the sensitive data is properly protected in different scenes. And security and compliance: a log auditing module ensures the traceability of all data operations, improves the response capability to potential risks through an anomaly detection algorithm, and provides effective compliance guarantee for data security governance. And the system can be compatible with various data sources, supports configuration and execution of various security policies, and is suitable for data security management requirements of different industries (such as finance and medical treatment).

The invention relates to the technical field of information security, and discloses an authentication method and system based on a Ksession shared session key MAC, and the method comprises the steps: obtaining to-be-encrypted data in a power monitoring system, dividing the to-be-encrypted data into key data and real-time data, and encrypting the key data and the real-time data; the method comprises the following steps: dynamically generating a Ksession key by using an ECDH protocol and an identity-based IBC technology, generating a message authentication code by using the Ksession key, carrying out integrity and authenticity verification on data in transmission through the message authentication code, transmitting encrypted data through a TLS / SSL protocol, and destroying the Ksession key at the end of a session; a quantum security digital certificate is generated by fusing quantum key distribution and a quantum security signature algorithm, and verification of the digital certificate is realized through a multi-party verification mechanism. The quantum security technology and the advanced encryption theory are integrated, and qualitative leap is achieved in the aspects of identity authentication, data encryption, integrity verification and access control.

The invention provides an intelligent garden environment monitoring data analysis method and system. Sensors are deployed to collect temperature, humidity and other data in real time to form a data set. Analyzing an environment parameter change mode of each region by adopting a time sequence clustering algorithm, and determining characteristics and trends; and carrying out dimension reduction on the data by using a multi-dimensional scale transformation algorithm to a three-dimensional space for visualization, and generating an environment state map. And evaluating the plant fitness in combination with a plant physiological ecology knowledge base, and generating a scoring matrix to guide the preliminary layout scheme. And dynamically adjusting the layout by applying reinforcement learning, selecting an optimal scheme, and predicting a future environmental evolution path based on the optimal scheme and historical data. An automatic control system framework is constructed, a self-adaptive control algorithm is designed, intelligent regulation and control of plant layout are realized, garden management efficiency is improved, and ecological protection and sustainable development are promoted. Therefore, full-chain intelligent management from environment monitoring to plant layout optimization is realized, and the intelligent level of garden environment monitoring and management is remarkably improved.

The invention discloses a federal learning data processing method based on privacy protection, and the method comprises the following steps: S1, a client uses local data to train a generator of a generative adversarial network, and generates virtual data similar to the local data in distribution; s2, setting three privacy protection levels according to the privacy sensitivity of the local data; s3, performing model updating operation by using a homomorphic encryption technology; s4, utilizing a dynamic weight optimization mechanism based on a multi-arm bandit algorithm to obtain a priority processing data set; s5, preliminarily updating the global model, analyzing generated data through a reverse inference detection mechanism, and judging whether a privacy disclosure risk exists or not; s6, the server feeds back the updated global model to the client, and the client continues personalized model training in combination with local data; and S7, generating new virtual data, and carrying out the next round of global model training. According to the method, the generative adversarial network, differential privacy and homomorphic encryption are combined, so that efficient federated learning under privacy protection is realized.

The invention discloses a data isolation and privacy protection method and system for a data security large model, and relates to the technical field of artificial intelligence, the method comprises the following steps: setting an independent storage area for each enterprise in an external knowledge base in advance, and transmitting encrypted data to the corresponding storage area based on an enterprise identifier, setting corresponding access authority for the encrypted data of each storage area; judging whether the user identity information and the user access permission information are compliant or not, extracting a keyword corresponding to the user demand information under the compliant condition, and performing similarity retrieval in an external knowledge base based on the keyword to obtain corpus data with the highest similarity with the keyword; the corpus data and the user requirements are jointly input into the large data security model to generate the data security document, and the problems that in the prior art, data security isolation and privacy protection cannot be achieved, and security and compliance use of data in the whole process cannot be guaranteed are solved.

The invention discloses an electronic archive data security system and method, and relates to the technical field of electronic document management. The electronic archive data preservation method comprises the following steps: acquiring a plurality of storage files to be stored and file attribute data of each storage file in real time; analyzing the risk level value of each storage file according to the file attribute data of the storage files, and marking the risk level value; classifying and storing the plurality of marked storage files into an electronic archive database; after a plurality of storage files are stored in a classified mode, time period access data of each storage file are obtained in real time, and real-time analysis is carried out in combination with risk level values. File attribute data are obtained in real time, and risk level evaluation is carried out on the file attribute data, so that the files can be marked and stored in a classified mode in real time; according to the method, the high-risk file is ensured to accept stricter protection measures, the risk assessment index is updated in real time, and the encryption strength is dynamically adjusted according to the risk assessment index, so that the protection capability on sensitive information is remarkably improved.

The invention relates to the technical field of system security, in particular to a computer storage file protection system which comprises a risk analysis module, a dynamic encryption module, an authentication management module and a behavior monitoring module. According to the method, the response speed and the personalized protection level of the file security are improved by automatically collecting location, time and user information parameters and executing context risk logic analysis, the system can provide customized protection schemes for different security requirements by dynamically adjusting an encryption mechanism and the key length, and the security of the file is improved. The system is allowed to strengthen protection measures under the high-risk condition, resource use is optimized under the low-risk condition, unnecessary performance burdens are avoided, through real-time monitoring and behavior analysis, the system can recognize and respond to abnormal behaviors in time, unauthorized access and data leakage are effectively prevented, potential threats to sensitive information are reduced, and the safety of the system is improved. The overall security management capability of the system is improved, and the continuity and effectiveness of data protection are ensured.

The invention discloses a water and soil loss telemetry data analysis method and system based on deep learning, and relates to the technical field of data analysis, and the method comprises the steps: extracting soil loss data, surface runoff data and topographic data; fusing the soil loss data, the surface runoff data and the topographic data, and obtaining water and soil loss risk index data and soil erosion rate data through a feature extraction technology; calculating weight values of the water and soil loss risk index data and the soil erosion rate data by using a feature evaluation technology; and based on the water and soil loss risk index data, the soil erosion rate data and the weight value, constructing a water and soil loss prediction model by using a deep learning framework and a space-time analysis algorithm. According to the invention, through telemetry data collection and feature extraction, key water and soil loss information can be rapidly obtained, the data processing flow is simplified, and the accuracy and reliability of data are ensured.

The invention discloses an industrial firewall isolation method of a DCS (Distributed Control System). The objective of the invention is to solve the problem that existing industrial network security protection has defects for a DCS system. According to the method, firstly, DCS architecture analysis and risk assessment are carried out, and protection key points and data flow directions are accurately determined; then, a firewall strategy fitting the characteristics of each area (such as a core control unit, an operation station and an external network interface) is customized, and mechanisms such as multiple data encryption are covered; and then firewall deployment and configuration optimization are carried out to ensure protection continuity and rule timeliness. And abnormal conditions are timely handled through a real-time monitoring and dynamic adjustment mechanism, and system recovery under a security event is guaranteed through an emergency response and backup recovery mechanism. And a regular safety drill and evaluation mechanism is arranged to continuously strengthen the protection capability. According to the method, the network security level of the DCS is comprehensively improved, stable and safe operation of industrial production is guaranteed, and the method has remarkable practical value.

The invention discloses a geological static and mining disturbance dynamic factor coupling disaster-causing risk prediction method, and relates to the technical field of geological risk prediction methods. The method comprises the following steps of S01, geological static factor analysis, S02, mining disturbance dynamic factor analysis, S03, coupling disaster-causing risk prediction model construction, S04, risk assessment and early warning system development, S05, early warning mechanism establishment, S06, model verification and S07, risk management and decision support. The accuracy of geological disaster risk prediction is remarkably improved; according to the method, a comprehensive risk prediction model is constructed by quantifying the complexity of a geological structure, such as an area coefficient, a structural area loss coefficient and the like, and combining ground stress changes and underground water level changes caused by mining activities; the data-driven method can accurately predict the occurrence probability of geological disasters, provides more scientific decision support for mine safety management, and effectively reduces the occurrence risk of geological disasters.

The embodiment of the invention discloses an RAG data query method and device based on privacy protection, equipment and a medium. The scheme can comprise the steps of obtaining a data query request provided by a query party; obtaining target data from the database based on the data query request; processing the target data by adopting a large model of a model party according to a preset privacy protection mode to obtain a query result; the preset privacy protection mode is used for preventing the target data from being leaked to the model party; and feeding back the query result to the query party.

The invention discloses a separated modular anchor implantation system with a line, and relates to the technical field of medical apparatuses and instruments. The separated modular suture anchor implanting system comprises an inserter and a storage box, the inserter comprises an insertion rod, and an insertion part is arranged at the head of the insertion rod. An anchor and a suture line are stored in the storage box, an inlet and an outlet are formed in the two ends of the storage box respectively, and the insertion rod can be inserted into the storage box through the inlet, so that the insertion part is connected with the anchor in an inserted mode, the anchor is pushed out of the outlet, and the assembly of the inserter and the anchor is completed; after the anchor nail is implanted by the inserter, the insertion part and the anchor nail can be disconnected and the suture line can be directly withdrawn by moving the inserter in the direction opposite to the implanting direction without being removed by a doctor, so that independent storage of the anchor nail and the suture line is realized, and meanwhile, free assembly of the anchor nail and the inserter is realized; due to the modular structural design, the anchor can be selected and matched according to actual operation requirements, the inserter can be repeatedly used, waste of medical resources is reduced, and environmental protection is facilitated.

The invention provides a method and system for virtual power plant resource allocation optimization and computing equipment, and is applied to the technical field of new energy prediction. The method comprises the following steps: collecting data of a distributed energy production and elimination main body through a centralized control center; establishing prediction data by using the prediction model; forming an internal scheduling plan by using a master-slave game model so as to determine the output and income of each distributed energy production and elimination main body; the operation state of the distributed energy production and elimination main body is monitored in real time through a sensor, intelligent metering equipment and a communication network, and the internal scheduling plan is dynamically adjusted according to the operation state, so that the stability and economy of the system are ensured. By using the method and the system of the invention, flexibility and economy of internal and external resource allocation of the virtual power plant can be improved.

The invention discloses an intelligent online monitoring device for a transformer, and relates to the technical field of transformers. The intelligent on-line monitoring device for the transformer comprises a front-end acquisition layer, a data transmission layer, a data processing and analysis layer, a cloud monitoring and management layer and an emergency response layer, through the deployment of the high-precision sensor network and the edge computing nodes, the system can accurately collect and process the operation data of the transformer in real time, and the monitoring accuracy and efficiency are improved. And secondly, the data transmission layer adopts a self-adaptive communication protocol and a data encryption technology, so that real-time and reliable transmission and security protection of the data are ensured, and meanwhile, traceability and tampering prevention of the data are realized by utilizing a block chain technology. In the data processing and analysis layer, the system realizes intelligent early warning and continuous optimization of transformer data through an integrated learning and deep learning model, and improves the accuracy and reliability of early warning. And the emergency response layer is arranged, so that the system can quickly respond to faults.

The embodiment of the invention provides an air supply system and an air supply method of an air suspension. The air supply system of the air suspension comprises an air storage tank, a plurality of air springs, an air supply valve body unit, a dryer, a heating element, an electronic control unit and a humidity sensor. The air storage tank is used for storing compressed air; the air spring is used for inputting high-pressure gas to each wheel of the vehicle; the air supply valve body unit comprises a reversing valve; the reversing valve is arranged on an air channel, so that the air supply system is driven to be switched between the air suction mode and the reverse blowing mode through reversing of the reversing valve; the cavity of the dryer is communicated with the air supply valve body unit through an air channel; the heating element is arranged in a cavity of the dryer, the humidity sensor is arranged on the air channel, and the humidity sensor corresponds to the electronic control unit in a signal mode. Therefore, the air supply system of the air suspension has the advantage that the regeneration efficiency of the dryer is improved.

The invention discloses a federal learning method and device, a medium and a product, and relates to the field of artificial intelligence. The method comprises the following steps: acquiring parameters and private watermark parameters of initial local business models of a plurality of federated learning clients; performing matrix processing on the private watermark parameters through a predefined smart contract to obtain a private watermark vector; embedding the private watermark vectors into parameters of the corresponding initial local business model, and performing aggregation by applying a federated average algorithm to obtain parameters of an initial global business model; verifying by applying a consensus mechanism of the block chain to obtain a verification result; when the verification result is correct and the initial global service model converges, obtaining a global service model; the global service model is an initial global service model. According to the method, under the characteristic that the block chain network cannot be tampered, record traceability of service model operation is achieved, watermark embedding is verifiable, and robustness of a traditional federated learning framework is enhanced.

The invention relates to a power system data privacy compliance examination method and system. The method comprises the steps of obtaining power data, and dynamically generating privacy metadata corresponding to the power data based on a large language model; monitoring data flow of the power data, applicable privacy regulations and processing modes to update the privacy metadata; dynamically generating a privacy protection decision by utilizing a self-adaptive privacy protection strategy engine according to the privacy metadata; and tracking the state of the whole life cycle of the power data, and generating a compliance audit report. According to the method, dynamic and automatic review of power system data privacy compliance is realized by introducing the large language model and utilizing semantic understanding and reasoning capabilities of the large language model on privacy regulations, and the privacy protection decision is dynamically generated by utilizing the self-adaptive privacy protection strategy engine, so that personalized protection of power data is realized. And finally, by tracking the state of the whole life cycle of the power data, ensuring that compliance inspection covers the whole life cycle of the data.

The invention relates to the technical field of biocatalysts, in particular to a FeCo-NC bimetallic monatomic nano-enzyme as well as a preparation method and application thereof. The preparation method of the nano enzyme comprises the following steps: preparing Co-ZIF-8 from zinc nitrate, cobalt nitrate and 2-methylimidazole; the Co-ZIF-8 and ferric chloride are used for preparing the FeCo-NC bimetallic monatomic nano-enzyme, the molar ratio of the zinc nitrate to the cobalt nitrate is (20-30): 1, and the molar ratio of the cobalt nitrate to the ferric chloride is (2-6): 1. The nano-enzyme prepared by the embodiment of the invention is of a monatomic structure, has double-enzyme activity, can simultaneously simulate catalase and NADH oxidase, and has the capability of removing active oxygen.

The invention discloses a data storage system of a digital country based on cloud computing, which comprises a client, a data transmission module and a cloud computing center, relates to the technical field of data storage, stores hot data on a high-performance hot data storage layer, ensures that frequently accessed data can be quickly responded, improves the system performance, and at the same time, stores the hot data on a high-performance hot data storage layer. The cold data is stored in a low-performance cold data storage layer, the storage cost is reduced, effective balance of performance and cost is achieved, the data is automatically migrated among different storage layers along with change of data access frequency, so that the performance and the cost are balanced, the frequently accessed data is migrated into a cache, the access speed of the data is increased, and the data access efficiency is improved. And establishing a relationship between a time interval and a data type of historical data, predicting data which are possibly accessed in a given time interval, adding the data into the cache, dynamically adjusting the cache, and ensuring the validity of the cache.

The invention relates to an anti-ant large-core-number fiber ribbon cable comprising a cable core and an outer sheath. The cable core includes loose tubes; and fiber ribbons are sleeved inside the loose tubes. The outer sheath is an outer nylon sheath; and a non-metallic reinforcement layer is arranged between the outer sheath and the cable core. According to the anti-ant large-core-number fiber ribbon cable provided by the invention, with the outer nylon sheath, ants can not bite the sheath, so that the damages on the optical cable by ant biting in a pipe at an area with a serious anti problem are prevented, the normal state of the cable is ensured, and the application region of the cable is extended. The cable based on a simple and reasonable structure has advantages of small cable diameter, high fiber density, large fiber capacity, and low duty ratio and can be laid in a pipe conveniently; and the bending performance is good. During branched connection, 4 to 24 fibers can be melted once, so that the construction time is saved and the manpower cost is lowered, and the construction efficiency is improved. On the basis of the full drying type dielectric structure, branched connection is realized conveniently and usage becomes convenient.

The invention discloses a double-color rubber coating injection molding mold and method based on automobile lamp mask machining, and relates to the technical field of mold double-color injection molding, the double-color rubber coating injection molding mold comprises an operation table, the top of the operation table is provided with an injection molding device used for injection molding, the double-color rubber coating injection molding mold further comprises a supporting base, the supporting base is arranged at the top of the operation table, and one side of the supporting base is rotationally connected with a rotating disc; three shaping grooves used for injection molding are formed in the side, close to the injection molding device, of the rotating disc. A switching mechanism on one side of the switching disc drives the switching disc to rotate, so that an ejection mechanism ejects out cut-off waste materials in an injection molding groove and cleans the injection molding groove, and when a model obtained after secondary injection molding rotates by 60 degrees along with a rotating disc, a push-out device is arranged in a shaping groove, the completed model is pushed out, and therefore the mold forming efficiency is improved. Therefore, circular machining of the automobile lamp mask is achieved, and the overall machining efficiency is improved.

The invention discloses an SNP (Single Nucleotide Polymorphism) molecular marker related to the testis size character of Hu sheep as well as a screening method and application of the SNP molecular marker, and belongs to the fields of genetic breeding and molecular biology. The marker is located in an intron region of a Hu sheep chromosome 3 LRRIQ1 gene and is remarkably related to the Hu sheep testis size character, and the accuracy and reliability of the SNP molecular marker are ensured through a scientific and rigorous screening method; according to the marker, Hu sheep individuals related to testis size characters can be rapidly and accurately screened out, the breeding efficiency and accuracy are improved, the breeding process is accelerated, the breeding cost is reduced, and the economic benefits are improved; the genetic diversity is protected, the accuracy of seminal fluid quality evaluation is improved, a powerful tool is provided for Hu sheep breeding work, and important basic data is also provided for researching a genetic mechanism of testis development and functions; the method can also be used as an auxiliary diagnosis tool to assist in identifying potential genetic defects or disease risks and promote progress and development of the breeding technology.

The invention relates to the technical field of taping machine equipment, and particularly discloses a self-adhesive wear-resistant aluminum foil mylar tape longitudinal wrapping taping machine which is used for solving the problems of poor wear resistance and poor taping quality in the prior art. Comprising a base, a supporting vertical plate is vertically arranged at the upper end of the base, a winding penetrating hole allowing a cable A to penetrate through conveniently is formed in the supporting vertical plate, a winding disc is rotationally arranged on the outer side of the winding penetrating hole, the winding disc is connected with a winding driving piece used for driving the winding disc to rotate, and an aluminum foil belt roller is arranged at the end of the winding disc; an aluminum foil belt is wound on the aluminum foil belt roller, and an installation assembly used for fixing the aluminum foil belt roller is arranged on the winding disc. The aluminum foil tape is designed according to existing requirements, the wear-resistant layer is arranged on the outer side face of the aluminum foil tape, and the bonding layer is arranged on the inner side of the aluminum foil tape, so that the aluminum foil tape better wraps the outer side of the cable A, and the protection effect of the cable A is improved.

The invention belongs to the technical field of biology, and provides a porcine epidemic diarrhea virus mRNA vaccine and application. The mRNA molecule comprises a coding region for coding the S protein of the PEDV; the PEDV is of a G2a type, and two proline mutations I1076P and L1077P are introduced into an S protein. The invention further discloses a DNA molecule. An S protein of PEDV; a recombinant plasmid; recombining the host cell; an mRNA vaccine formulation which can be used to prepare an antibody against the S protein of PEDV after immunizing an animal; the invention further discloses application of the mRNA molecule, the DNA molecule, the recombinant plasmid or the host cell to preparation of a medicine for preventing PEDV (Porcine Epidemic Diarrhea Virus) infection. The vaccine prepared by the invention is fast in antibody generation and high in protection rate, can generate high-level neutralizing antibodies in serum and breast milk of sows after the pregnant sows are immunized before parturition, has a remarkable protection effect on piglets, and can effectively prevent the piglets from being infected with PEDV (Porcine Epidemic Diarrhea Virus).

The invention discloses a wear-resistant and high-temperature-resistant synchronous belt and a preparation method thereof. The wear-resistant and high-temperature-resistant synchronous belt comprises a synchronous belt framework and a synchronous belt rubber sheet, the synchronous belt rubber sheet is prepared from the following raw materials: a fluorosilicone thermoplastic polyurethane elastomer containing a benzene ring structure, an amino-containing hyperbranched liquid crystal polymer, methyl vinyl phenyl silicone rubber, epoxidized natural rubber, molybdenum sulfide nanosheets, reinforced fibers, bis (1-vinyl imidazole-2-) ketone, 2-acrylamido-2-methylpropanesulfonic acid, 4, 4 '-difluoro-1, 3, 4-trimethyl-1, 3, 4-trimethyl-1, 3, 4-trimethyl-1, 3, 4-trimethyl-1, 3, 4-trimethyl-1, 3, 4-trimethyl-1, 3, 4-trimethyl-1, 3, 4-trimethyl-1 The high-temperature-resistant rubber is prepared from 2, 6-hydroxy-2-cyanobenzothiazole, bis (3-aminophenyl) 3, 5-bis (trifluoromethyl) phenylphosphine oxide, a catalyst, a coupling agent, a vulcanizing agent, an anti-aging agent, a scorch retarder and a lubricating agent. The synchronous belt is good in mechanical property, sufficient in high-temperature resistance and cold resistance, good in wear resistance and excellent in aging resistance and flame retardance.

The invention relates to the technical field of carton stacking, and discloses a carton production stacking device which comprises a mechanical arm, the output end of the mechanical arm is rotationally connected with a sliding seat, and the inner surface of the sliding seat is slidably connected with a sliding plate through a sliding block. The distance between the telescopic suction cups is changed, so that the adsorption stability of the telescopic suction cups to cartons of different sizes is improved, a first sealing plate and a second sealing plate block the bottoms of the telescopic suction cups, and the situation that in the placing process of the device, dust adheres to the telescopic suction cups, and the adsorption effect of the telescopic suction cups is affected is prevented; and a rotary hook lock resets and clamps a clamping shaft, the situation that dust enters a protection frame from a gap and is attached to the telescopic suction cup due to the gap between a first sealing plate and a second sealing plate is avoided, and then the protection effect on the telescopic suction cup is improved.