2857results about How to "Quick fix" patented technology

The invention relates to the technical field of data analysis, and discloses a business data analysis method, device and equipment based on big data and a storage medium, the method comprises the following steps: collecting and preprocessing original log data to obtain standardized log data, and performing adaptive multi-modal feature extraction to obtain comprehensive feature representation; inputting a heterogeneous graph neural network to carry out anomaly detection and multi-level root cause analysis to obtain a hierarchical anomaly event; executing task scheduling and resource allocation of reinforcement learning to obtain a task allocation scheme; performing deep learning enhanced root cause reasoning and knowledge graph construction on the task allocation scheme to obtain a system state diagram and a causal relationship; and generating a multi-dimensional task data analysis report. According to the method, comprehensive analysis, anomaly detection, root cause reasoning and intelligent scheduling of log data are realized. The reliability and performance of the system can be improved, and more intuitive and accurate decision support can be provided for operation and maintenance personnel.

The invention discloses an intelligent emergency pre-examination triage system based on big data, and relates to the technical field of data analysis, the emergency pre-examination triage system comprises a data acquisition module, an evaluation index extraction module, an intelligent analysis module, a triage evaluation module, a triage decision module, a feedback interaction module and a patient information management module, all the modules are connected through electric signals. According to the intelligent emergency treatment pre-examination triage system based on the big data, the comprehensive evaluation model and the triage evaluation coefficient are integrated, and the symptoms of the patient are evaluated quickly and accurately, so that the triage level and the recommended treatment department are quickly determined, the emergency treatment efficiency is remarkably improved, the waiting time of the patient is shortened, and the patient experience is improved. According to the method, medical resources are configured more reasonably, meanwhile, more comprehensive patient portraits can be provided for medical staff according to multi-dimensional information such as medical history and examination results of patients, and making of more accurate diagnosis and treatment decisions is facilitated.

The invention relates to the field of transformer parameter regulation and control, in particular to a parameter optimization method and device for a coupling type transformer. The method comprises the following steps: acquiring multi-dimensional real-time working monitoring parameters and real-time working environment state parameters of the coupling type transformer; performing nonlinear dynamic analysis and global state sensing modeling on the multi-dimensional real-time working monitoring parameters so as to construct a transformer global state sensing model; performing multi-parameter combination definition on the multi-dimensional real-time working monitoring parameters, performing dynamic operation simulation based on a transformer global state sensing model, and collecting operation simulation response data of a plurality of schemes; performing multi-target dynamic balance analysis on the operation simulation response data of the plurality of schemes to obtain an optimal transformer working parameter combination; and carrying out environment dynamic parameter change analysis on the real-time working environment state parameters, and constructing a real-time environment condition distribution field. According to the invention, efficient and self-adaptive adjustment transformer parameter optimization is realized.

The invention relates to the technical field of PCBs (printed circuit boards), in particular to an intelligent PCB detection and repair method, which comprises the following steps: S1, initializing module configuration: automatically identifying the type and structure information of a PCB; s2, a dynamic detection stage: collecting electrical parameters of the PCB, and generating fault position information; s3, circuit dynamic characteristic compensation: analyzing the nonlinear distortion characteristic of the circuit, and calculating and executing dynamic compensation; s4, an automatic repair stage: generating a repair scheme, including solder joint repair, line reconstruction or signal compensation; and S5, an intelligent recheck stage: performing comprehensive retest on the repaired PCB, verifying the performance of the repaired area, and generating a repair evaluation report. According to the invention, the repair precision and efficiency are improved, the whole repair process is intelligent and automatic, the risk of manual intervention is reduced, and the overall repair efficiency and the long-term reliability of the PCB circuit are improved.

The invention discloses a tunnel crack detection method and a tunnel crack detection system, and belongs to the field of tunnel safety detection.The tunnel crack detection method comprises the steps that a tunnel inspection robot is utilized to conduct inspection in a tunnel to obtain complete three-dimensional data in the tunnel so as to construct a three-dimensional map in the tunnel, and the position of each crack area in the three-dimensional map is determined; determining an inspection tour area corresponding to each crack area and executing path planning, and generating an optimal inspection tour path of the unmanned aerial vehicle; the optimal inspection path enables the unmanned aerial vehicle to sequentially pass through each inspection area and then leave the tunnel after entering the tunnel under the condition that obstacle avoidance conditions are met, and the total time is shortest; enabling the unmanned aerial vehicle to move according to the optimal inspection path, and scanning the crack region by using the depth camera when the unmanned aerial vehicle moves to one inspection region so as to obtain fine three-dimensional data of the crack region; and performing analysis processing on the fine three-dimensional data of the crack area to complete tunnel crack detection. According to the invention, the efficiency and precision of long tunnel crack detection can be improved.

The invention provides a source code vulnerability detection method and device based on a fusion code attribute graph and electronic equipment, and the method comprises the steps: obtaining to-be-detected source code data, extracting the code representation of the source code data, and converting the code representation into the fusion code attribute graph; inputting the graph coding features of the fused code attribute graph into a vulnerability detection model to obtain a vulnerability detection result; and interpreting the vulnerability detection result based on the interpretable model to obtain a fine-grained interpretation result of the code statement related to the vulnerability in the vulnerability detection result. Compared with a traditional code attribute graph, the fusion code attribute graph has more advantages in the aspect of covering a grammar structure and a function calling relation, the context correlation of codes can be reflected more comprehensively, and support is provided for accurately recognizing complex code vulnerabilities; the interpretable model interprets the vulnerability detection result, points out code statements related to the vulnerability, provides a fine-grained interpretation result, and can help subsequent developers to quickly repair the vulnerability.

The invention discloses an intelligent question and answer method and system based on a mine safety large model. The method comprises the following steps: constructing a vector database based on a mine document data set; obtaining an input user question, and generating a corresponding similar question based on the user question; after the similar questions and the user questions are combined, vectorization processing is carried out, and user question vectors are generated; performing correlation retrieval of the text blocks in a vector database based on the user question vector to obtain a corresponding preliminarily screened text block set; reordering the preliminarily screened text block set to obtain a finely arranged text block set; and inputting the user question and the reordered finely-arranged text block set into a large model for correlation analysis, outputting the text blocks most relevant to the user question, and sorting the text blocks according to similarity to form a data set as a retrieval result. According to the method, related questions are generated on the basis of user questions to cover more possible query intentions and expression modes, so that the accuracy and efficiency of mine risk hidden danger question answering are improved.

The invention discloses a variable-frequency reconfigurable wireless electric energy transmission system and a parameter design method, and relates to a wireless electric energy transmission system and a parameter design method. The invention aims to solve the problems that the existing wireless power transmission technology is difficult to maintain approximately constant power transmission in the face of wider coupling coefficient fluctuation, and the system control complexity is higher at the same time. The system comprises a full-bridge inverter circuit, a primary side compensation network, a coupling coil, a secondary side compensation network and a rectification filter circuit. The input end of the full-bridge inverter circuit is connected with a direct-current voltage source UD, the output end of the full-bridge inverter circuit is connected with the input end of the primary side compensation network, the output end of the primary side compensation network is connected with the primary side input end of the coupling coil, and the secondary side output end of the coupling coil is connected with the input end of the secondary side compensation network. The output end of the secondary side compensation network is connected with the input end of the rectification filter circuit; the output end of the rectification filter circuit is connected with a battery load Ro. The invention belongs to the technical field of wireless power transmission.

According to the seawall ecological slope protection structure and the construction method thereof, the seawall ecological slope protection structure comprises a seawall body, the seawall body is filled with mud filling pipe bags, a wave wall is arranged at the top of the seawall body, a bagged gravel layer is laid on the slope surface of the seawall body, a polyurethane gravel protection slope is laid on the bagged gravel layer, and a wave dissipation platform is arranged on the slope surface; according to the seawall, the structural porosity of the seawall can be effectively improved, energy transportation and material exchange between the ocean and the land can be continued, meanwhile, the wave dissipation effect is good, and the structure is resistant to corrosion; the method is simple in form and high in universality, the construction step of cast-in-place concrete of a traditional seawall concrete slope protection structure is basically avoided, the site construction period and maintenance period are greatly shortened, the porosity of the polyurethane gravel slope protection is high, plant growth is facilitated, and the ecological property of the seawall structure is improved; and a good ecological effect can be created.

The invention discloses a distributed architecture of an intelligent emergency command and dispatch system and a collaborative decision-making method. A distributed architecture comprising a basic resource layer, a support service layer and an application layer is constructed, and functions of multi-type alarm access, accurate alarm positioning, intelligent power dispatching and the like are realized by using multiple technologies. And establishing a collaborative decision-making mechanism which covers problem modeling, communication protocol design, negotiation mechanism development, dynamic adjustment and decision-making execution. The system is deployed after integration testing and security testing, personnel training, daily hardware maintenance, software monitoring, data backup and security component updating are carried out. The emergency commanding and dispatching efficiency, accuracy and collaboration are improved, the method adapts to complex emergencies, and public safety is guaranteed.

The invention discloses a transformer on-line monitoring and fault early warning system, and particularly relates to the technical field of power equipment monitoring, and the system comprises a signal collection module, a signal filtering module, a broadband focusing module, a signal complexity analysis module, a threshold self-tuning module, a fault early warning module and a fault positioning module. The signal acquisition module acquires operation data of a transformer in real time through a sensor network, the filtering module removes noise, and the broadband focusing module converts broadband signals into narrow-band signals, so that the resolution is improved; the signal complexity analysis module evaluates the signal complexity, and the threshold value self-tuning module dynamically adjusts the threshold value; the fault early warning module judges whether to trigger early warning based on the adjusted threshold value, and the fault positioning module determines the position of the partial discharge source through a cross positioning algorithm; according to the invention, the problem that the accuracy of early warning is affected due to the fact that a traditional fixed-threshold monitoring method is easy to generate false alarm or missing alarm can be solved, and operation and maintenance personnel can be helped to quickly determine the position of a fault source through cross positioning.

The invention discloses an acute kidney injury risk early warning system, and relates to the technical field of clinical decision support systems. In order to solve the problems that in the prior art, due to the fact that a large amount of data preprocessing and model training need long-time data processing and model operation, the early warning opportunity is not accurate, the real-time performance is low, personalized early warning prompting cannot be carried out for patient groups, and early warning fatigue and early warning desensitization are likely to be caused. Through data preprocessing, model construction and risk analysis, real-time monitoring and accurate prediction of the AKI risk of a patient are realized, the early recognition rate is improved, the early warning decision unit generates specific early warning information according to risk scores and kidney function change rules and provides targeted treatment suggestions, and meanwhile, through an early warning threshold adjustment and approach matching module, the early warning decision unit can perform early warning on the AKI risk of the patient. The early warning strategy is optimized, the response speed of medical staff and the compliance of patients are improved, and the user interaction unit continuously optimizes the early warning system through a feedback mechanism.

The invention relates to the technical field of structural dynamic stress measurement, and discloses a method and system for designing a dynamic stress measurement patch of a lobe-containing whole-ring thin-wall stator structure. According to structural geometric characteristics, modal characteristics, excitation sources, crack positions and the like of the lobe-containing whole-ring thin-wall stator structure, the dynamic stress of the lobe-containing whole-ring thin-wall stator structure is measured; the equivalent vibration stress of all surface nodes of the lobe-containing whole-ring thin-wall stator structure is fully considered, the node with the maximum equivalent vibration stress is determined as the patch point of the strain gauge, the pasting position of the strain gauge can be rapidly determined, the influence rule of the wake region and the non-wake region of the support plate on the dynamic stress of the stator structure can be obtained, the test efficiency is improved, and the test cost is reduced. And the dynamic stress characteristics of the lobe-containing whole-ring thin-wall stator structure can be obtained by utilizing the designed strain gauge, and data support is provided for the high-cycle fatigue resistance design of the lobe-containing whole-ring thin-wall stator structure.

The invention discloses a double self-repairing polyurethane coating containing a metal coordination bond and a Diels-Alder bond. The double self-repairing polyurethane coating is prepared from the following raw materials: polyol, an isocyanate derivative, a chain extender containing the metal coordination bond, metal salt and a binary chain extender containing the Diels-Alder bond. According to the double self-repairing polyurethane coating containing the metal coordination bond and the Diels-Alder bond, the repairing efficiency and the mechanical and chemical resistance can be improved.

The invention discloses a transformer fault intelligent diagnosis method and system, and the method comprises the steps: reading a longitudinal differential protection action switching value from transformer fault recording, according to the fault recording information, calculating rated current of each side of the transformer, longitudinal three-phase differential current amplitude, voltage and current amplitude of each side and zero-sequence voltage and zero-sequence current amplitude of each side; and combining different criteria to intelligently identify fault types such as a non-internal fault, a three-phase symmetric fault, a single-phase earth fault, a two-phase earth fault, a two-phase interphase short circuit and an interturn fault of the transformer, and fault sides and fault phases. According to the invention, the fault type and the fault position of the transformer can be rapidly and automatically positioned, manual fault analysis is assisted or replaced, and an intelligent automatic solution is provided for accident handling of the transformer fault in an engineering field.

The invention discloses a spine minimally invasive intervertebral fusion cage and a rigid fixing device thereof, and belongs to the technical field of medical implantation instruments.The spine minimally invasive intervertebral fusion cage comprises a fusion cage body implanted between an upper lumbar vertebra body and a lower lumbar vertebra body, and the two sides of the center of the fusion cage body are each provided with a height adjusting assembly in a sliding mode; jacking springs are installed between the two height adjusting assemblies and the bottom cover plate, and spring pins used for fixing and releasing the height adjusting assemblies are inserted between the fusion cage body and the two height adjusting assemblies. And an upper top plate is fixedly mounted at the tops of the two height adjusting assemblies. By designing the fusion cage capable of automatically adjusting the height, when the fusion cage is used, the lifting seat and the upper top plate can be driven to abut against the lumbar vertebra body above by utilizing the bounce of the jacking spring, and after the fusion cage is adjusted in place, the lifting seat and the upper top plate can abut against the corresponding clamping teeth through the outer flanging sides of the two spring steel sheets, so that the supporting height of the lifting seat is fixed.

The present invention relates to an automatic loading and unloading curing device, comprising a loading module, a curing module and a unloading module arranged in sequence, wherein a carrier for placing workpieces is arranged on the loading module; a first XYZ axis conveying mechanism is arranged between the loading module and the curing module; a high temperature channel and a downstream conveying assembly running through the high temperature channel are arranged on the curing module; a reflux conveying assembly is arranged correspondingly below the downstream conveying assembly; the transport length of the reflux conveying assembly is greater than the transport length of the downstream conveying assembly; a second XYZ axis conveying mechanism is arranged between the curing module and the unloading module. The structure runs smoothly, has a high degree of automation, is easy to operate, saves labor costs and time costs, has high practicality, and workers do not need to work at the feed port and the loading port of the curing module, thereby ensuring the safety of the workers.

The invention discloses a variable-frequency reconfigurable wireless electric energy transmission system and a parameter design method, and relates to a wireless electric energy transmission system and a parameter design method. The invention aims to solve the problem that approximately constant power transmission is difficult to maintain in the prior art for relatively wide coupling coefficient fluctuation. The system comprises a full-bridge inverter circuit, a primary side compensation network, a coupling coil, a secondary side compensation network and a rectification filter circuit. The input end of the full-bridge inverter circuit is connected with a direct-current voltage source UD, the output end of the full-bridge inverter circuit is connected with the input end of the primary side compensation network, the output end of the primary side compensation network is connected with the primary side input end of the coupling coil, and the secondary side output end of the coupling coil is connected with the input end of the secondary side compensation network. The output end of the secondary side compensation network is connected with the input end of the rectification filter circuit, and the output end of the rectification filter circuit is connected with the battery load Ro. The invention belongs to the technical field of wireless power transmission.

The invention provides automatic cloth strength detection equipment, and relates to the technical field of textile detection. A top plate is fixedly installed at the top of the detection table, a conductor column is fixedly installed at the outer end of the installation base, the bottom of the conductor column is connected with the other wiring end of the fan body through a wire, a set of movable bottom plates are further installed on the detection table in a sliding mode, and positioning holes are formed in the movable bottom plates at equal intervals. The positioning columns at the front end and the rear end of the first fixing block are inserted into the positioning holes of the movable bottom plate. The detected cloth can be conveniently and rapidly fixed through the moving frame, and in the downward moving process of the moving frame, the fan body blows air leftwards to the detected cloth so as to flatten the surface of the detected cloth; a first fixing block and a movable bottom plate are in automatic limiting connection through a positioning column, and the device can conveniently detect the strength of the detected cloth according to data of a pressure sensor; the device solves the problems that the device is not easy to quickly fix the detected cloth for strength detection, and the device is easily influenced by surface wrinkles of the detected cloth.

The invention relates to the field of vehicle network communication, in particular to an automobile attack chain analysis method and device, electronic equipment and a storage medium. According to the method, the security event and the corresponding event data are firstly obtained to provide a basis for subsequent analysis; then, safety key elements in the event data are extracted, a knowledge graph is constructed with the safety key elements and the automobile software and hardware assets, the safety key elements and the automobile software and hardware assets serve as different entity nodes respectively, the association between the different elements is determined in this way, and the problem that the association of attack behaviors is neglected is solved. Then, analyzing the knowledge graph to obtain target malicious nodes to construct an initial attack graph, and analyzing event data to obtain an attack link to update a node relationship of the initial attack graph to obtain a target attack graph, so that a unified description framework is provided for complex attacks; the whole attack process and the relation between the nodes can be clearly known, and the inconsistency of understanding and reaction caused by lack of a unified description framework is avoided.

The invention relates to the technical field of network security analysis, in particular to a big data network signal security early warning system. The system comprises a network signal big data stream transmission module, a network signal ratio difference detection module, a network signal division result safety early warning module and a network signal abnormity safety response module. Data acquisition equipment can be deployed at an entrance and an exit of each network equipment, and network signal data real-time acquisition and big data stream type transmission conversion can be carried out, so that a network signal big data stream can be obtained; carrying out time sequence flow size and access frequency statistical analysis on the network signal big data flow, and carrying out network signal ratio difference detection division and abnormal safety early warning processing at the same time to generate a network signal abnormal safety early warning signal; and uploading the network signal abnormity safety early warning signal to a cloud platform to carry out abnormity safety response processing so as to generate a network signal abnormity safety response protection strategy. According to the invention, network signal abnormity can be efficiently monitored in real time and early warning can be provided.

The invention discloses a fault upstream and downstream judgment method based on an instantaneous symmetric component method. The fault upstream and downstream judgment method comprises the following steps: S1, monitoring current data of each node of a power distribution network in real time; s2, calculating an instantaneous positive sequence current and an instantaneous negative sequence current of the real-time data by adopting an improved instantaneous symmetric component method; s3, performing primary difference on the instantaneous positive-sequence current and the instantaneous negative-sequence current respectively; s4, comparing the primary differential value of the instantaneous negative-sequence current with a set threshold value, and judging whether the directions of the instantaneous positive-sequence current and the instantaneous negative-sequence current are the same or not; and S5, performing fault section judgment by combining the direction of the instantaneous positive and negative sequence current and the topological structure of the power distribution network. The improved instantaneous symmetric component method is used to obtain the instantaneous positive-sequence current and the instantaneous negative-sequence current, the directions of the instantaneous positive-sequence current and the instantaneous negative-sequence current are analyzed, the fault section can be quickly and accurately positioned, and the cost is reduced.

The invention discloses a water purifier with a layered filter element structure, and relates to the technical field of water purifiers, and the water purifier comprises a composite mechanism. According to the water purifier with the layered filter element structure, through the design of the composite mechanism, liquid enters from the feeding pipe and then is filtered through the layered filter element, impurities in the liquid are adsorbed, and the inner wall of the composite shell is scraped through the scraping mechanism, so that the effect of cleaning the impurities on the surface is achieved, excessive precipitation of the impurities is prevented, and the service life of the water purifier is prolonged. Impurities enter the output mechanism after being precipitated, filtered liquid flows towards the discharging pipe, follow-up treatment is facilitated, the treatment mechanism clamps the layered filter element, so that the rapid fixing effect is achieved, follow-up disassembly and replacement are facilitated, and the effects that the equipment can work for a long time, and the efficiency is improved are achieved. And the service life of equipment is prolonged.

The invention relates to the technical field of software security, in particular to a decentralized financial platform loan intelligent contract vulnerability detection method and system based on a graph neural network, and the method comprises the steps: collecting intelligent contract source code data, and carrying out the vulnerability marking of the intelligent contract source code data according to whether there is a vulnerability in the data; compiling intelligent contract source code data into an abstract syntax tree, and constructing a contract code heterogeneous graph; constructing a graph neural network model, and performing vulnerability prediction training on the graph neural network model by using the contract code heterogeneous graph to obtain an intelligent contract vulnerability detection model, the graph neural network model captures structural features of a contract code heterogeneous graph layer by layer by using a hierarchical attention enhancement mechanism and predicts and identifies vulnerabilities in contract codes based on the structural features; and converting the to-be-detected smart contract source code into a target contract code heterogeneous graph to perform vulnerability prediction on the target contract code heterogeneous graph. According to the method, the semantics and data flow characteristics of the contract can be accurately captured, and efficient and accurate detection of the intelligent contract vulnerability is realized.

The invention discloses a processor architecture performance optimization method, a related device and a storage medium, and the method comprises the steps: generating an initial architecture configuration parameter set of a target processor architecture, and carrying out the RTL simulation of the configuration parameter set, and obtaining the current training data; performing iterative training on the prediction model by using the current training data; performing iterative optimization on the initialized prediction architecture configuration parameter set by using a heuristic algorithm until a performance prediction result of reasoning the optimized configuration parameter set by the prediction model meets a performance optimization target; performing RTL simulation by using the current initialized prediction architecture configuration parameter set to verify whether a performance optimization target is met; if the performance optimization target is not met, adding the current initialized prediction architecture configuration parameter set into the initialized architecture configuration parameter set, and returning to carry out RTL simulation on the initialized architecture configuration parameter set; and if the performance optimization target is met, determining an output result according to the current initialization prediction architecture configuration parameter set.

The invention discloses an outdoor environment monitoring method and system, a storage medium and a program product, and the method comprises the steps: obtaining a plurality of initial detection sub-regions; performing preliminary sampling at the central point of the initial detection sub-region to obtain initial environment data; constructing an environment parameter space distribution model; calculating a variation coefficient, and determining a high-variation sub-region; judging whether the area of the high-variation sub-region is greater than a preset minimum area or not; if yes, the minimum sub-region is divided, and the center point serves as a sampling point; if not, increasing a preset number of sampling points; controlling the detection unmanned aerial vehicle to perform secondary sampling at the sampling points to obtain initial environment data, and updating the environment parameter spatial distribution model; calculating an updated overall prediction error, and judging whether the updated overall prediction error is greater than a preset error; and if not, determining the initial environment data with the maximum similarity, and determining the region corresponding to the sampling point as a candidate experiment region. According to the invention, the accuracy of the environmental parameters detected in different outdoor environments is improved.

The invention discloses a method for improving plant polyploidy induction rate and obtaining polyploidy based on leaf bud primordium cell cycle synchronization. The method comprises the following steps: carrying out pre-differentiation culture on an explant induction material; performing cell cycle synchronization excitation treatment on the leaf bud primordium cells obtained by the pre-differentiation treatment; and performing chromosome doubling treatment on the explant induction material subjected to the cell cycle synchronization excitation treatment. According to the method disclosed by the invention, an EdU staining labeling method and a flow cytometry are used for accurately judging the time for carrying out cell cycle synchronization excitation treatment on leaf bud primordium cells of an induction material, and carrying out synchronization excitation and doubling induction on the induction material in time; the dosage of a cell cycle inhibitor for synchronous excitation treatment is accurate, the treatment opportunity is accurate, the treatment duration is proper, and the polyploidy inductivity of the plant is remarkably improved; the obtained polyploidy plant is good in stability, and the method is high in repeatability.

The invention discloses a communication optical cable line fault rapid positioning system, which comprises optical time domain reflectometers and a remote monitoring center, and is characterized in that two optical time domain reflectometers with different optical pulse wavelengths are respectively connected to two ends of a communication optical cable line through wavelength division multiplexers on corresponding sides; the optical time domain reflectometer analyzes a reflected light signal received by the optical time domain reflectometer through a built-in intelligent algorithm, quickly calculates the position of a fault point and judges the type of the fault; the intelligent algorithm comprises a loss positioning algorithm, a reflection peak identification algorithm and a microbend loss analysis algorithm; the loss positioning algorithm is used for detecting the position of a fault point and distinguishing an optical fiber breakpoint and a loss type fault; the reflection peak recognition algorithm is used for detecting a fault point position; the microbend loss analysis algorithm is used for detecting and distinguishing microbend loss and other types of loss; the system has the advantages of being stable in detection system, good in detection effect, rapid in fault positioning and more accurate in detection result, and automatic detection, remote detection and remote monitoring and management of optical cable faults can be conveniently achieved.

The invention belongs to the technical field of power connectors, and discloses a combined power connector which comprises a plug shell and a socket board, a socket connector is fixedly connected to the middle of the socket board, and a conductive assembly used for being communicated with the socket connector is installed in the plug shell. The two swing rods swing rightwards through the grip, so that the openings of the locking rods and the swing rods are aligned with the first L-shaped rods, then the plug connector is inserted into the socket connector, and the grip is swung leftwards, so that the contact sliding of the two locking rods and the two first L-shaped rods automatically drives the plug shell to move leftwards; the plug connector and the socket connector are connected more easily, after the two swing rods are perpendicular, the connection stability of the plug connector and the socket connector is guaranteed, meanwhile, a second T-shaped rod automatically moves downwards through the elastic tension of a tension spring and is inserted into a limiting groove, the two swing rods cannot continue to swing, and therefore the plug connector and the socket connector can be connected more easily. Therefore, the socket connector and the plug connector are locked.

The invention belongs to the technical field of metal welding and thermal cutting and discloses a metal welding and cutting device which comprises a machine base, a guide rail is fixedly connected to the side wall of the machine base, a control panel is installed on the side wall of the machine base, a laser is installed on the top face of the machine base, and a rotary disc is rotationally connected to the side wall of the laser. The device has the advantages that the positions of a laser focus and a material can be automatically adjusted, the influence on the metal welding and cutting quality is avoided, program control is not needed, the device can adapt to machining of materials with various shapes, the material machining cost is greatly reduced, meanwhile, the use of control elements is also greatly reduced, the difficulty of wire arrangement is avoided, and the production efficiency is improved. The application range of the device is expanded, metal welding cutting and metal fixing can be conducted at the same time, step-by-step operation is not needed, the hidden danger of misoperation is avoided, meanwhile, the operation time can be saved, the lowest point of the metal surface can be rapidly determined, and therefore the focus point of a laser beam can be rapidly determined.