1116results about How to "Guarantee authenticity" patented technology

The invention provides a private domain live broadcast data storage and visitor authentication method and system based on a block chain, and relates to the technical field of data storage and access control, and the method comprises the steps: collecting multi-mode biological characteristic data of a visitor, carrying out the feature extraction and fusion through a deep neural network of a space-time attention mechanism, and carrying out the authentication of the visitor; authenticity verification is carried out in combination with an adversarial generative network, a dynamic identity token is generated, and a hash value of the dynamic identity token is written into the block chain. The method comprises the following steps: performing semantic analysis on live broadcast data flow through a self-adaptive content perception model, constructing a double-layer access control matrix according to a data sensitivity level and a credibility score, performing self-adaptive fragmentation and hierarchical encryption based on federated learning, and then storing. After an access request is subjected to identity verification, an optimal edge node is selected according to access authority and network performance parameters to construct multi-path transmission, and a transmission strategy is generated based on a service quality score and a data sensitivity level. And when the service quality is lower than a threshold value, triggering the smart contract to perform fault migration.

The invention discloses a data security sharing method and system, and relates to the technical field of data security, and the method comprises the steps: receiving to-be-shared data uploaded by a data provider; fragmenting the data by adopting a biologically inspired adaptive fragmentation algorithm; generating a digital fingerprint for each fragment by using a multi-dimensional dynamic Hash algorithm; encrypting data fragments by adopting a post-quantum encryption algorithm and storing the data fragments in a decentralized network; recording the access authority, the digital fingerprint and the storage position information to a block chain security account book; when a data request is received, the access permission is verified; carrying out identity verification by adopting multi-mode biological feature recognition; after the verification is passed, obtaining a digital fingerprint and a storage position from the block chain; acquiring the encrypted fragments from the decentralized network and decrypting the encrypted fragments; verifying the integrity by using the digital fingerprint; and recombining the verified fragments to obtain complete data and returning the complete data to the requester. According to the method, efficient data sharing is realized while the data security is guaranteed, and the data value and privacy protection are effectively balanced.

The invention provides an encryption transmission method and system of a wireless information transmission communication base station, relates to the technical field, discloses the encryption transmission method of the wireless information transmission communication base station, and belongs to the technical field of wireless communication. The method comprises the following steps: receiving a communication signal and extracting identity authentication information and a signal characteristic parameter; performing identity authentication scoring based on a deep neural network, performing signal feature scoring through spectral analysis, and constructing a communication security assessment model; a key pair is generated by adopting an elliptic curve cryptographic algorithm, and data is encrypted after being subjected to confusion transformation and diffusion transformation; transmitting a key by using a quantum key distribution technology; and selecting an optimal transmission channel based on the operation state data of the communication base station, and performing data transmission by adopting interleaving coding and adaptive power control technologies. According to the invention, the security and transmission reliability of wireless communication are improved, and the anti-interference capability is enhanced.

The invention discloses a block chain-based digital right encryption management method and system, and relates to the technical field of digital right security management. According to the method, a unique identifier is generated for digital asset information through a Hash algorithm, data privacy is ensured by using asymmetric encryption, and asset uniqueness identification and information encryption protection are realized; according to the method, encrypted asset information is subjected to uplink evidence storage through an intelligent contract, node verification is carried out by adopting a consensus algorithm, tampering resistance, authenticity and transparency of the asset information are analyzed, authenticity of digital assets and safety and reliability of storage are guaranteed, legality of ownership transfer is verified through a consensus mechanism when the digital assets are transacted or transferred, and security and reliability of the digital assets are guaranteed. It is ensured that the transaction meets the preset compliance standard, the asset state on the block chain is updated in real time, and the security and compliance of the transaction are improved; the asset ownership history and the transaction path are tracked and recorded through the traceability mechanism of the block chain, and the traceability and transparency of the asset circulation process are realized.

The invention provides a post quantum cryptography and national cryptography algorithm mixed signature and verification method and device, and relates to the technical field of cryptography application. The method comprises the following steps: performing hash operation on a to-be-signed message plaintext by adopting a preset national cryptographic hash algorithm to obtain a first hash value, and performing mixed signature operation on the first hash value and the to-be-signed message plaintext according to a national cryptographic signature private key component and a post-quantum signature private key component in a mixed signature private key of a sender to obtain a second hash value; and obtaining a national secret signature value and a post-quantum signature value, packaging the national secret signature value and the post-quantum signature value to obtain a mixed signature value corresponding to the to-be-signed message plaintext, and sending the mixed signature value and the to-be-signed message plaintext to a receiver. Due to the fact that the mixed signature value sent by the sending party to the receiving party comprises the national secret signature value and the post-quantum signature value, an attacker needs to crack the national secret signature value and the post-quantum signature value at the same time to achieve identity anti-fake attack, and guarantee is provided for integrity and authenticity of message plaintext transmission.

The invention relates to the technical field of satellite navigation and anti-interference, and discloses an unmanned aerial vehicle dynamic navigation anti-interference method and system based on a single Beidou satellite, and the method comprises the steps: an unmanned aerial vehicle receives a navigation signal through the single Beidou satellite, and carries out the initialization; and performing interference enhancement detection through a multi-frequency domain joint filtering technology. And analyzing a carrier phase tracking spectrum, and carrying out autonomous integrity monitoring on the single Beidou satellite. Deception signals are isolated, navigation parameters are corrected, and the dynamic navigation anti-interference effect of the unmanned aerial vehicle is achieved. According to the method, a carrier phase tracking spectrum is analyzed through a multi-frequency-domain joint filtering technology, a disguise deception signal of a submerged loop is identified under the condition that no strong interference signal exists, and the authenticity of a navigation signal is ensured. In combination with IMU data and historical pseudo-range changes, through real-time comparison of navigation data and IMU calculation data, deception signals are isolated, navigation parameters of the unmanned aerial vehicle are corrected, and it is ensured that the unmanned aerial vehicle can continuously, stably and dynamically fly.

The invention relates to the technical field of knowledge questions and answers, in particular to a method and system for detecting and repairing large language model output illusion, which comprises the following steps of: dividing answer content into a plurality of sentences, calculating the confidence coefficient of each sentence, judging whether the confidence coefficient of each sentence exceeds a set threshold value or not, performing fact extraction on the sentences with the confidence coefficient lower than the set threshold value, obtaining triple data of each sentence; generating a subgraph A of each sentence based on the triple data of each sentence; extracting a sub-graph B from the local knowledge graph based on the subject in the triple data of each sentence; calculating the similarity between the sub-graph A and the sub-graph B, and if the similarity is smaller than a set threshold value, repairing the sub-graph A according to the sub-graph B to obtain a repaired sub-graph A; according to the triad data corresponding to the repaired subgraph A, obtaining a repaired sentence; and after all the sentences with the confidence lower than a set threshold value are repaired, final answer content is obtained. And the accuracy and reliability of model output are improved.

The invention relates to the technical field of computer storage, in particular to an encryption method and related equipment. The encryption method comprises the following steps: generating a unique device identifier through a polymorphic ring structure, wherein the unique device identifier is used for generating a unique identifier and a key of the solid-state storage device; based on the generated device identifier, a multi-dimensional dynamic key is generated in combination with a multi-dimensional mixed function and is used for data encryption; and encrypting the segmented data by using a multi-dimensional dynamic key, and embedding a progressive vector check code into each data segment to enhance the security of the data segment level. According to the method, the defects of the existing solid-state storage equipment encryption technology in the aspects of key management, encryption mechanism, key irreversibility, real-time monitoring and the like are overcome, and all-around guarantee is provided for data storage security.

The invention relates to the technical field of genomics, in particular to a gene detection data cleaning method and system based on artificial intelligence. The method comprises the following steps: acquiring gene detection data, and performing preliminary filtering on the gene detection data based on removal of low-quality reads to obtain preliminary filtering data; performing linker sequence identification and removal on the preliminarily filtered data, and performing sequencing error correction to generate gene sequence data; performing GC content analysis and repetitive sequence identification on the gene sequence data to obtain sequence feature data; performing dynamic quality threshold adjustment according to the sequence feature data, and performing secondary filtering on the gene sequence data to generate high-quality sequence data; and performing sequence pattern recognition on the high-quality sequence data to obtain sequence pattern feature data. According to the method, deep analysis is carried out by utilizing sequence characteristics such as GC content and nucleotide distribution, and the recognition capability on sequence complexity and variation modes is improved.

The invention provides a privacy computing security system based on a domestic cryptographic algorithm. The privacy computing security system comprises a key management module, a data encryption module, a homomorphic encryption module, a differential privacy module, an intelligent threat detection module and an access control module. The key management module generates a key by adopting an anti-quantum computing algorithm based on a learning and sampling problem LWE, and performs distributed storage and management by utilizing a block chain technology; the data encryption module performs data encryption and decryption by using an SM4 algorithm; the homomorphic encryption module executes arithmetic and logic operations in a data encryption state; the differential privacy module dynamically protects data privacy; the intelligent threat detection module monitors and detects abnormal activities in real time based on a deep learning model; and the access control module manages user access authority. According to the method, multiple security technologies are integrated, so that the anti-quantum computing capability, data privacy protection and computing efficiency are improved, and the method is suitable for data processing scenes needing high security and privacy protection.

The invention provides a carbon transaction intelligent management and control method and system based on a block chain, and relates to the technical field of carbon transactions, and node analysis and block chain network construction are performed by analyzing carbon transaction participation associated information; acquiring carbon emission monitoring network sensing data, encrypting the data, uploading the data to a distributed account book of a participating node on a chain, and performing consensus verification; if the verification result meets the preset verification standard, carrying out history backtracking, activating a transaction contract in combination with transaction constraints, and carrying out quota division and quota updating; a plurality of carbon transaction platforms are connected, when a transaction request is activated, transaction opponent matching and transaction rate evaluation sorting are performed based on a transaction contract, and a first matching result of the sorting is used as a current transaction opponent for recommendation, so that the problems of low transaction credibility, low transaction efficiency and poor real-time performance and safety during carbon transaction are solved, and the transaction efficiency is improved. The technical effects of improving the transparency and security of the carbon transaction and improving the transaction efficiency and the response speed while ensuring the data authenticity are achieved.

The invention relates to the technical field of data analysis, in particular to a wind tunnel test analysis method and system for a large-span warehouse structure. The method comprises the following steps: executing a wind tunnel simulation test operation, and collecting wind tunnel test data of the wind tunnel simulation test operation; performing wind pressure quantitative distribution simulation analysis of multi-scale wind direction angles based on wind tunnel test data to generate multi-scale wind pressure quantitative distribution data; designing a wind tunnel test large-span warehouse model according to the wind tunnel simulation test operation; based on the multi-scale wind pressure quantitative distribution data, carrying out wind load analysis on each node of the warehouse on the wind tunnel test large-span warehouse model to generate warehouse wind load data; based on the warehouse wind load data, large-span warehouse structure design parameter analysis is carried out, and large-span warehouse structure design parameters are generated; and transmitting the large-span warehouse structure design parameters to a terminal to execute large-span warehouse structure design parameter feedback operation. According to the method, optimization design of large-span warehouse structure parameters is realized through wind tunnel simulation test analysis.

The invention belongs to the field of video monitoring systems, and particularly relates to a cascade-based multi-platform data synchronization method and system, and the method comprises the steps: designing an interface security mechanism of cross-platform data exchange; constructing a data synchronization service architecture, namely deploying corresponding data synchronization services at different levels of platforms to realize resource data synchronization, and supporting data synchronization of multi-level cascade or platform interconnection; performing data initialization synchronization; real-time synchronization of data change is realized; establishing a service heartbeat keep-alive mechanism; service multi-instance deployment is carried out, and efficient data processing and flexible load balancing are achieved. According to the invention, many defects of a data synchronization mechanism of an existing video monitoring system are effectively solved, and the stability, expansibility and data processing efficiency of the system are improved.

The invention discloses a fresh flower selling management system and method based on a block chain technology, and relates to the technical field of fresh flower management. A data acquisition module acquires real-time data of a fresh flower planting link and a logistics transportation link, transmits the real-time data to a block chain storage module, and binds an identifier of a fresh flower; the block chain storage module is used for storing the fresh flower information and storing the data of the full life cycle of the fresh flowers in a distributed account book; the user access module is used for checking a display legend of the fresh flower and related information of the fresh flower at a user side, and the intelligent contract module is used for generating order information and carrying out payment settlement and automatic account division; the inspection module is used for inspecting flower quality and flower information; and the abnormity monitoring and feedback module is used for timely recording and sending notifications when abnormity is found in the planting, transportation or sales process, and quickly positioning problem nodes. According to the method, the transparency of the whole flow of fresh flower planting and transportation is improved, the data security and credibility are ensured, and rapid traceability is realized.

The invention provides a safety protection algorithm design method for an industrial control system, which is used for determining a safety protection target and range, determining a key component and a business process and defining a protection boundary. And then risk assessment and threat modeling are carried out, potential threat and attack vectors are identified, and asset vulnerability and risk influence are assessed. Designing a security protection algorithm framework, selecting proper security technology and algorithm, and determining architecture and module composition. Identity authentication modules, data encryption and integrity protection modules, intrusion detection and defense modules and the like are designed in detail, and authentication modes, key management modules, integrity verification modules, intrusion detection algorithms, response strategies and the like are designed. And then realizing and integrating an algorithm, and programming in the system to realize and guarantee the cooperative work among the modules. And the performance and the security of the algorithm are optimized through a function and security test. And finally, deploying the algorithm to the industrial control system, continuously monitoring the operation state and the security situation of the industrial control system, dynamically adjusting the strategy and parameters, and effectively guaranteeing the security of the industrial control system.

The embodiment of the invention discloses a database integrity verification method, device and system, a medium and equipment, and the method comprises the steps: firstly, injecting a section enhancement code at a preset tangency point position of a database; then, when a modification operation for the database is received, executing the section enhancement code to generate a verification hash value corresponding to the modification operation; and further, calling a password service of a trusted third party, and performing data signature on the target data corresponding to the modification operation by the verification hash value through the password service. And finally, verifying the database data based on a hash operation message authentication code obtained by verifying the hash value and the data signature so as to determine whether the database is tampered or not.

The invention discloses a power distribution network scene low-voltage electric quantity internet-of-things monitoring device and method, and the device comprises a sensing layer, a network layer and an application layer, the sensing layer comprises a plurality of electric quantity collection terminal nodes, and each electric quantity collection terminal node comprises a current transformer, a voltage transformer, a metering chip, a first Bluetooth Mesh communication module and a first power module. And the metering chip converts analog signals acquired by the current transformer and the voltage transformer into digital signals and calculates to obtain voltage, current, power, electric quantity, frequency and other electric quantity parameters. According to the invention, automatic acquisition, wireless transmission, remote monitoring, intelligent analysis and visual display of the electric quantity data of the low-voltage side of the power distribution network can be realized; and meanwhile, an early warning effect can be achieved, early warning can be given out for possible faults of the line, the manual field patrol intensity is reduced, and an Internet of Things solution which is low in cost, high in efficiency, easy to deploy and wide in coverage is provided for low-voltage electric quantity monitoring of the power distribution network.

The invention discloses a digital certificate authentication method and device based on a post-quantum algorithm, equipment and a medium, and relates to the field of information security, and the method comprises the steps: obtaining digital certificate application information of a target entity for auditing; if the digital certificate request passes the verification, analyzing the digital certificate request submitted by the target entity, and obtaining a key encryption key of the digital certificate request by using a post-quantum key encapsulation algorithm after verification; then obtaining user information of the target entity and an active cryptographic algorithm public key value in the digital certificate request, generating an anti-quantum-attack digital certificate according to the user information and a public key, and signing and issuing the anti-quantum-attack digital certificate to the target entity; the digital certificate comprises a post-quantum key packaging public key, a post-quantum signature public key and an active-service public key password public key ciphertext of the entity. According to the application, the public key data of the traditional public key cryptographic algorithm can be protected, the quantum computing attack is resisted, the public key plaintext of the traditional public key cryptographic algorithm can be obtained in the service system, and the influence on the original service using the traditional public key cryptographic algorithm is extremely low.

The invention relates to the field of sampling, in particular to a drilling and sampling device for road construction. The sampler comprises a frame and a sampling assembly arranged on the frame, the sampling assembly comprises a drilling cylinder and an inner cylinder, a plurality of drilling tools are hinged to the lower end of the drilling cylinder, the inner cylinder is coaxially inserted into the drilling cylinder, the inner cylinder is of a grating structure and comprises a first cylinder body and a second cylinder body, and a film is arranged in the inner cylinder. When a road surface part is drilled, the drilling tool is in a horizontal state, the contact area between the drilling tool and the road surface is large, large cutting supporting force can be kept, a drilling barrel is prevented from being stressed and deformed, when a roadbed part is drilled, the drilling tool is in an upright state, the contact area between the drilling tool and the roadbed is small, the cutting speed is increased, and the cutting efficiency is improved, so that different drilling requirements are met; meanwhile, when the roadbed part is cut, the inner cylinder is inserted into the roadbed in advance to support the roadbed, after drilling is finished, the thin film is pulled open to wrap the sample core, it is guaranteed that the distribution state of all layers of structures of the sample core is accurate, and the authenticity of the sample is guaranteed.

The invention relates to a monocular vision tower span measurement method based on RTK correction, and belongs to the technical field of space distance measurement. Comprising the following steps: acquiring ambient light intensity and quality in real time based on an environment where a power transmission and distribution tower is located, and obtaining ambient light adaptation parameters by analyzing ambient light data and adjusting ISO sensitivity and shutter speed of a camera. According to the method, real-time environment light data analysis and camera parameter automatic adjustment are introduced in the monocular vision tower span measurement process, the image quality is effectively improved, tower recognition is more accurate, background interference is reduced, the geographic position and the shooting angle of a shooting point are corrected through the RTK technology, and the measurement accuracy is improved. And perspective transformation correction is carried out on the image in cooperation with a perspective projection theory, and the accuracy of distance measurement data is improved to centimeter level.

The invention provides a wind vibration performance evaluation method and evaluation system, and relates to the photovoltaic technical field, the method comprises the following steps: establishing a finite element model of a photovoltaic flexible support, and obtaining modal parameters of the finite element model; obtaining meteorological data of a to-be-operated environment of the photovoltaic flexible support, and determining a wind speed range and a wind direction range of the to-be-operated environment based on the meteorological data and the modal parameters; in the wind vibration simulation experiment based on the wind speed range and the wind direction range, recording wind vibration parameters of the photovoltaic flexible support under different wind directions and different wind speeds; and the wind vibration performance of the photovoltaic flexible support is obtained based on wind vibration parameter evaluation. The wind vibration simulation experiment is carried out based on the wind speed range and the wind direction range of the to-be-operated environment, the wind vibration parameters are obtained, and the wind vibration performance of the photovoltaic flexible support is accurately evaluated based on the wind vibration parameters.

The present invention belongs to the field of educational data management technology, specifically, an educational data management system based on blockchain. The educational data system based on blockchain of the present invention includes student users, school administrators, data accessors, application parallel chains, and relay chains; application parallel chains focus on the management of their own chain function business logic, such as school blockchains and corporate personnel information blockchains. The interaction between parallel chains can be provided by relay chain transfer; the relay chain is the "center" blockchain connecting different parallel chains, which is responsible for completing the information interaction between different parallel chains. The present invention improves the scalability of the educational data blockchain through the relay chain solution, and uses the digital signature solution to provide the reliability of educational data. In addition, the present invention uses identity-based access control to protect the user's educational data privacy and reduce the risk of data leakage and abuse.

The invention provides an image real-time splicing transition method and device based on a pathological slide and a readable storage medium. The method and the device are innovated and improved for solving the problem that existing slide scanning digital splicing traces affect diagnosis. An overlapping area is reserved when adjacent original images are scanned, a weight transition template is generated by using a specific algorithm according to the distance between pixels and an overlapping boundary, and the transition smoothness is flexibly adjusted by controlling adjustable parameters. Overlapping region pixels and the corresponding templates are multiplied and accumulated to replace original data, overlapping region removing splicing is carried out, cyclic image-by-image processing is carried out, and traceless splicing is achieved. Through the optimization, the image definition and the film reading quality are remarkably improved, the misjudgment risk of doctors is greatly reduced, the pathological image analysis application range is powerfully expanded, clinical diagnosis and research are promoted to accurately and efficiently advance, powerful power is injected for pathology development, and the method has important value and wide application prospects in the technical field of medical images.

The invention relates to the technical field of block chains, DID, data cross-border and data sharing, in particular to a security industry cross-border data sharing method and system based on a block chain and DID, and the method comprises the steps: S1, identity registration and authority distribution; s2, data release and contract release; s3, data receiving and contract execution; and S4, supervision auditing: each supervision party issues a supervision intelligent contract through a specified DID identity and a block chain account according to own business characteristics, and each participant participating in data sharing can select the supervision party needing submission, and triggers the corresponding intelligent contract to carry out flow data submission. The method has the advantages that the authenticity of the data in the data sharing process is ensured; digitalization, automation and standardization of a data sharing process are realized; constructing an on-chain identity system; the access and data uploading of the cross-border main body mechanism are facilitated, and the cross-border interaction of the data is facilitated; information errors are avoided, and execution efficiency and transparency of data sharing are improved.

The invention discloses an enterprise carbon accounting method based on a block chain, and the method comprises the steps: collecting carbon emission related data in real time based on the Internet of Things, and uploading the carbon emission related data to the block chain; based on an on-chain smart contract, performing multi-dimensional cross comparison and analysis on the carbon emission related data to identify and correct data abnormality or error existing in the carbon emission related data; according to the dynamic factors, a dynamic carbon accounting model is adjusted in real time so as to calculate carbon emission related data; and according to a calculation result, a block chain excitation compatibility mechanism is constructed, and the excitation compatibility mechanism encourages an enterprise to upload real carbon emission data. According to the embodiment of the invention, through fusion of the Internet of Things and the block chain, multi-dimensional cross-comparison analysis of enterprise carbon emission related data and dynamic updating of the carbon accounting model are realized, an incentive compatibility mechanism is constructed to encourage the enterprise to participate, transmission data distortion is effectively avoided, timeliness, accuracy and integrity of data uploading are ensured, and the data uploading efficiency is improved. And the enthusiasm of the enterprise to participate in carbon accounting is improved.

The embodiment of the utility model provides a test tube sleeve for biological sample storage, the test tube sleeve comprises a shell and a cover body which are made of hard materials, the shell and the cover body are detachably connected, the shell and the cover body are connected in a sleeving manner, the shell and the cover body jointly enclose to form an accommodating space for accommodating a test tube filled with a biological sample, the shape of the accommodating space is matched with the external shape of the test tube. Compared with a paper bag or a plastic belt, the shell and the cover body which are made of the hard materials are not prone to deformation, easy to clamp and capable of being clamped by mechanical equipment such as a mechanical arm, automatic management can be achieved, and the biological sample management efficiency is improved.

The invention relates to the technical field of image processing, and provides an image data generation method and device, electronic equipment and a readable storage medium. The method comprises the steps of obtaining to-be-processed text data, wherein the to-be-processed text data comprises at least one piece of object data; inputting the to-be-processed text data into the trained large language model to process the to-be-processed text data to obtain layout information data corresponding to each piece of object data; according to the layout information data corresponding to the object data, determining a fusion feature vector corresponding to the layout information data; performing hierarchical mapping processing on the fusion feature vector corresponding to the layout information data to obtain a layout feature vector set corresponding to the to-be-processed text data; and inputting the layout feature vector set corresponding to the to-be-processed text data into the trained diffusion model for processing to obtain target image data containing at least one object, thereby improving the fidelity in the multi-subject image generation process and improving the accuracy of the multi-subject layout.

The invention discloses an enterprise credit evaluation method based on a block chain and federated learning in house transaction. The method comprises the following steps: a task issuer issues an evaluation task; the client performs model training by using local data; the task publisher evaluates client integrity according to a training result and distinguishes honest and malicious clients; selecting a committee node and a leader node from the honest client; the committee node performs cross validation by using local data, and evaluates the accuracy of the model; the leader node adaptively updates an aggregation weight based on client honesty, model accuracy and data scale, aggregates a global model and generates a block, and uploads the block after consensus by an improved PBFT protocol; and the next round of training is carried out until the global model meets the task requirement. According to the method, credible data is utilized to guide model updating, the influence of a malicious client side is reduced, a PBFT consensus mechanism is improved, the consensus efficiency is improved, aggregation weight is adaptively updated based on multiple factors, and the model quality under the condition of data heterogeneity is guaranteed.

The invention discloses a visual detection device for adhesive label paper production, and relates to the technical field of label paper visual detection, the visual detection device comprises a detection table and further comprises a leveling device, a winding device is arranged at the top of the detection table, a maintenance frame is fixedly installed at the top of the detection table, and visual detection equipment fixedly penetrates through the top of the maintenance frame; a driving plate is fixedly mounted at the top of the detection table, a servo motor is fixedly mounted on the front side of the driving plate, a placement frame is fixedly mounted at the top of the detection table, a rotating motor is rotatably mounted on the rear side of the placement frame, and light supplementing equipment is fixedly mounted at the output end of the rotating motor; the correcting rod moves in the direction close to the label paper to drive the correcting frame to move to correct the position of the label paper to be detected, it is ensured that the label paper is located at the correct center position during detection through position correction, the image capturing accuracy is improved, and the rejection rate caused by misjudgment is further reduced.

The invention provides a Texaco gasification device corrosion problem analysis method, which comprises the following steps: selecting key monitoring points to monitor the corrosion condition of a target device, installing intelligent sensors at the points, collecting operation data in real time and transmitting the operation data to a central processing unit; analyzing the data, identifying an area possibly having a corrosion risk and an abnormal change trend, and determining a suspected corrosion area; carrying out deep detection on the areas to obtain detection data; detection data, equipment operation data and maintenance records are encrypted and stored, so that the authenticity, non-tampering and traceability of the data are ensured, and a reliable basis is provided for subsequent analysis and decision making; and in combination with an intelligent manufacturing technology, operation parameters and maintenance plans of the device are optimized according to a corrosion analysis result, and accurate analysis and effective prevention and control of corrosion problems are realized. By means of the scheme, accurate analysis and effective prevention and control of the corrosion problem of the Texaco gasification device are achieved, and the overall equipment management level and safety are improved.