1248results about How to "Avoid security risks" patented technology

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 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 relates to a part burr removing technology, in particular to an intelligent control system for removing burrs of machined parts, which is used for solving the problems that manual burr removing operation is poor in stability, parts are easy to damage, part of hidden burrs are difficult to perceive and remove, and the burr removing efficiency is low. Automation of the burr removing process is achieved through a plurality of modules arranged in the program controller, manual intervention is reduced, the production efficiency is improved, the path planning module conducts optimal planning on a burr treatment path according to a burr detection result, the efficiency and effect of burr removing work are improved, and the labor intensity of workers is lowered. The real-time monitoring module can monitor the working state of the deburring tool in real time, it is ensured that the deburring tool operates according to the optimal path, whether the deburring tool can continue to execute deburring work or not can be judged in real time, the whole control system is intelligently controlled through a program, dependence on manual deburring operation is reduced, the production cost is reduced, and the working efficiency is improved. And the safety risk possibly existing when the burrs are manually removed is avoided.

The invention discloses a glass cold bending test electric loading device and a test method.The device comprises a base, a fixing support, a pressure loading test piece, a lifting component, a loading integrated piece and a control unit, the fixing support is adjustably installed on the base, the pressure loading test piece is arranged at the top end of the fixing support, and the lifting component is arranged on the loading integrated piece; the pressure loading test piece is used for providing extrusion stress for a glass cold bending test and outputting stress data, the lifting component is installed on the fixed support, the loading integrated piece is arranged below the pressure loading test piece and installed on the lifting component through a connecting part, and the loading integrated piece is used for providing various glass cold bending loading modes. And the pressure loading test piece and the lifting component are electrically connected with the control unit. The pressure loading test piece connected with the control unit is introduced, and the lifting component and the loading integrated piece are matched, so that the loading synchronism, precision and test safety are improved, the data acquisition accuracy is ensured, the test efficiency is improved, and the device is suitable for cold bending test loading of various different forms.

The invention relates to an access control method and system based on a zero-trust micro-gateway, and belongs to the technical field of information security. A zero-trust micro-gateway management center is established for a micro-service architecture, and a zero-trust micro-gateway strategy execution center is deployed on a container where each micro-service is located, that is, a containerized zero-trust micro-gateway firewall is established before each micro-service to realize network blocking of unauthorized access. The management center performs SPA authentication on a visitor of the micro-service, opens an authentication service port to an IP of the visitor after the SPA authentication is passed, receives an authentication request data packet of the visitor to perform access authentication, generates a dynamic access control strategy based on environment baseline data of the visitor after the access authentication is passed, and sends the dynamic access control strategy to the execution center; and the execution center controls the access of the visitor according to the access control strategy passing the verification. According to the scheme of the invention, the micro-service is hidden behind the zero-trust micro-gateway, thereby effectively achieving the hiding of the network by the application service, and improving the safety of the service.

The invention relates to the technical field of environment monitoring, in particular to a coal mining environment sensing system based on multi-sensor fusion, which comprises a coal mining environment analysis module, an environment detection module, a regional analysis module, an environment sensing module and a coal mining environment early warning module, the coal mining environment analysis module determines a coal mining environment to be perceived and determines the function type of each perceived area; the environment detection module detects detection information of each sensing area; the regional analysis module determines the potential safety hazard type of each region; the environment sensing module determines an environment sensing strategy according to the potential safety hazard type of each sensing area; the coal mining environment early warning module is used for sending out early warning information; according to the method, the coal mining area is divided into a plurality of functional areas, and corresponding sensors are deployed according to the characteristics and safety requirements of each area, so that the correlation and accuracy of monitoring data are ensured, and the pertinence of data acquisition and the accuracy of coal mining environment perception are improved.

The invention discloses an old community photovoltaic building integrated reconstruction design method, and particularly relates to the technical field of building reconstruction design, and the method comprises the following steps: firstly, obtaining the three-dimensional structure data of a building through scanning equipment, and determining a suitable photovoltaic installation region based on a preset reconstruction region grade; calculating the bearing capacity of the photovoltaic module according to the transformation area, determining the total weight of the bearable photovoltaic module, and designing the initial distribution of the module; an inclination angle and an azimuth angle of a photovoltaic module are optimized through sunlight analysis, after installation is completed, an inverter is used for converting direct current into alternating current, the alternating current is connected to an intelligent power grid system, finally operation data are collected regularly, and a neural network is used for predicting faults and evaluating a health state. According to the invention, a feasible scheme is provided for large-scale popularization of renewable energy sources, the installation of the photovoltaic system can make full use of the idle space of old buildings, the utilization efficiency of solar energy resources is improved, the dependence on traditional energy sources is reduced, and the energy consumption of old communities is reduced.

The invention relates to the technical field of network security, in particular to a method and device for detecting illegal external connection of a terminal and a storage medium, and the method comprises the steps: obtaining all terminal equipment connected with a local area network, distinguishing authorized terminal equipment and unauthorized terminal equipment through authorization detection, and carrying out the risk grading of the authorized terminal equipment; the method comprises the following steps: generating an external connection behavior data set by combining client monitoring data, network layer monitoring data and intranet detection data, extracting key information such as an external connection target, access time, a protocol type and a port number, and dividing into pure intranet connection equipment, normal external connection equipment and unknown external connection equipment according to external connection permissions; inputting the log data of the unknown external connection equipment into the log anomaly detection model based on the Transform architecture, identifying an abnormal event, and calculating a log risk score; and if the log risk score exceeds a preset threshold, determining that the device is an illegal external connection device. According to the method, accurate detection of illegal external connection behaviors is realized, and the safety performance of a monitoring system is remarkably improved.

The embodiment of the invention provides a self-adaptive detection and detection system for low-altitude flight inspection, and aims to improve the efficiency and safety of unmanned aerial vehicle inspection operation. Firstly, a plurality of unmanned aerial vehicle description information sets, unmanned aerial vehicle cluster description information and flight inspection task description information are acquired; the information covers performance parameters and task requirements of the unmanned aerial vehicles in different inspection scenes, then the information is loaded into a target adaptive inspection decision model for knowledge learning in advance, and target estimation confidence is generated by analyzing the information so as to evaluate the success probability of the unmanned aerial vehicle cluster in executing a specific inspection task. And when the target estimation confidence meets the set requirement, the corresponding unmanned aerial vehicle cluster is intelligently scheduled to execute the inspection task, so that efficient completion of the task is ensured, and the adaptability and flexibility of the unmanned aerial vehicle inspection operation are effectively improved through intelligent evaluation and dynamic scheduling.

The invention relates to the technical field of electric power data acquisition with an encryption function, and discloses an electric power data acquisition terminal with an encryption function and a method. By combining the environment data and the equipment state, the encryption process enhances the security and adaptability of data encryption. Environment and equipment data input ensures that encryption results are different, and potential safety hazards caused by static data sources are avoided. The data are reasonably combined through a seed generation formula, it is ensured that the seeds have enough randomness, and the brute force cracking risk is reduced. The key generation strategy generates a unique key through a seed, so that the attack resistance of the system is improved. The key matrix and random number generation strategy improves the unpredictability of the encryption algorithm. And dynamically updating the encryption matrix to prevent the encryption matrix from being cracked in long-term use. In the whole process, comprehensive protection of the data in acquisition, encryption and transmission is ensured, and the data is effectively prevented from being tampered or stolen.

The invention belongs to the field of road vehicle control, and relates to a method and a system for judging a braking decision error of a tank truck driver. The system comprises an information acquisition module, a danger perception calculation module, a braking intention extraction module, a braking starting point prediction module, a braking curve prediction module, a liquid oscillation force calculation module and a decision error risk calculation module, and the decision error risk calculation module is used for calculating the risk of the liquid oscillation force based on data provided by the braking curve prediction module and the liquid oscillation force calculation module. Predicting the future dynamic behavior of the vehicle, and calculating the error risk of the next decision of the driver according to the predicted speed and position; according to the system, liquid shaking, driver behaviors and vehicle movement are comprehensively considered, and the problems that in the prior art, dynamic changes of liquid are not fully captured and driver braking decision prediction accuracy is insufficient in the field of tank truck driving decision can be solved by constructing a multi-layer liquid shaking model, a driver braking decision model and a long-time prediction method.

The invention relates to the technical field of data management, in particular to an artificial intelligence-based automatic data grading management method, which comprises the following steps of: acquiring to-be-graded data through a multi-source data acquisition channel, and performing data preprocessing on the to-be-graded data to generate a training data set; constructing a feature extraction network based on an improved Transform architecture, extracting data features in the training data set in combination with a cross-modal mechanism, and generating a dynamic feature mapping matrix; and constructing a time-space domain fusion model based on a graph neural network by using the dynamic feature mapping matrix, calculating a data sensitivity index, and performing adaptive classification. According to the method, complex cross-modal data can be processed, time-space domain features are fused, and efficient hierarchical management is realized through an improved deep learning model, so that the problems of data diversity, real-time performance and accuracy of an existing data hierarchical method are effectively solved.

The invention discloses a method and a device for cooling a battery pack of an electric automobile, and relates to the technical field of electric automobiles, and the process method comprises the following specific steps: real-time monitoring: installing intelligent sensing equipment in and around each battery module of the battery pack, monitoring key parameters of temperature and pressure of the battery pack in real time, and simultaneously monitoring the temperature and the pressure of the battery pack; according to the invention, key parameters of temperature, pressure, current and voltage of the battery pack are monitored in real time through the intelligent sensing device, and thermal management data of the battery pack are processed and analyzed in real time in combination with a big data analysis technology. The battery performance reduction and the safety risk caused by too high or too low temperature are avoided, the thermal management requirements of the battery pack under different working conditions are better met, and the use efficiency and the safety of the battery pack are improved.

The invention discloses a permanent magnet rotor surface-mounted magnetic steel mounting structure and method, and belongs to the technical field of motors, the permanent magnet rotor surface-mounted magnetic steel mounting structure comprises a rotor, a magnetic steel guide assembly is arranged above the rotor, the magnetic steel guide assembly comprises a plurality of pieces of simulation magnetic steel, the magnetic steel guide assembly is used for mounting magnetic steel to be mounted, and a mounting assembly is arranged at the bottom of the rotor. A plurality of locking assemblies are arranged on the mounting assembly, a plurality of magnetic steel mounting parts are arranged on the rotor, magnetic steel and a magnetic yoke before mounting are separated through a magnetic steel guide assembly tool, in the matching process of the magnetic steel and the magnetic yoke, the hand is evacuated to a safe position, safety risks are avoided, a magnetic steel pushing mode is not adopted, adsorption is prevented through a non-magnetic-conductive material, and the magnetic steel is prevented from being damaged. Glue pressing is used for replacing glue pushing, smooth installation of the surface-mounted magnetic steel is achieved, material loss is avoided, and the phenomenon that poor installation is prone to occurring in the mutual exclusion process of the magnetic steel, and the performance of a motor is affected is avoided.

The invention provides a safety check and real-time prediction linkage system and method for a hydrogen-doped natural gas pipeline network. The system comprises a digital twin module, a detection module, a hydrogen-doped pry module and a consumption prediction module, the detection module comprises a terminal user, a thermometer and a flow meter, the thermometer is used for collecting temperature data of the terminal user, the temperature data is transmitted to the digital twin module, the flow meter is used for collecting load data of the terminal user, and the load data is transmitted to the consumption prediction module; the use amount prediction module predicts the hydrogen-doped natural gas use amount of the user per hour in real time according to the data collected by the detection module; the hydrogen doping pry module controls the mixing ratio of hydrogen to natural gas according to the output result of the dosage prediction module; and the digital twin module checks the safety operation feasibility and the hydrogen doping ratio by calculating the physical property parameters of the hydrogen-doped natural gas. Accurate prediction, dynamic scheduling and safety checking of the natural gas and hydrogen consumption are achieved, and it is ensured that the energy use efficiency is improved.

The invention relates to the technical field of tower checking, in particular to an electric tower standing book checking method and system, electronic equipment and a storage medium, and the method comprises the steps: obtaining a plurality of groups of satellite remote sensing images in a to-be-checked region, carrying out the image processing of the plurality of groups of satellite remote sensing images, and obtaining a tower panoramic satellite image of the to-be-checked region; tower feature recognition is carried out on the tower panoramic satellite image, and tower image recognition feature information of all towers in the to-be-checked area is obtained; the tower image recognition feature information comprises tower center point coordinates, tower height and tower type; on the basis of the tower image recognition feature information, conducting wire feature recognition on the tower panoramic satellite image, and conducting power line connection on the basis of a wire feature recognition result to obtain a power line distribution diagram in the to-be-checked area; according to the method, errors and missing information in the tower standing book can be found and corrected in time, and accurate and reliable power grid architecture and equipment condition information can be provided for operation and maintenance personnel.

The invention provides a communication method and system between different tab pages in the same domain and the same browser. The method comprises the following steps: creating a shared storage object for storing data; a JavaScript script is introduced, and a shared storage object is accessed; data storage: using the specific key value of the shared storage object to store the transmission data; monitoring the change of the shared storage object; monitoring a change event of the shared storage object to obtain the change of the data; according to the method, simple and easy-to-use label page communication can be realized by utilizing a shared storage mechanism provided by a browser without complicated network communication configuration; by utilizing a shared storage mechanism provided by a browser and combining with a JavaScript programming language, a change event of a shared storage object can inform a receiver of a label page in real time, so that communication has high efficiency and real-time performance; according to the method, communication is only carried out among the label pages under the same domain name, so that the security risk of cross-domain communication is avoided, and the security and reliability of communication are ensured.

The invention discloses a method for detecting an external load of an automobile emergency starting power supply, and relates to the technical field of automobile emergency starting, in the step S2, after an output circuit is closed, a system monitors dynamic current and load state changes, extracts related transmission data and calculates an abnormal coefficient, and once the abnormal coefficient exceeds a preset abnormal threshold value, the system is started; and the system sends a start stopping instruction in time, so that excessive loss of a storage battery or a starting power supply is further avoided, and the safety of equipment and a vehicle is effectively guaranteed. And S3 and S4, constructing a starting result recognition model by using the change coefficient and the abnormal coefficient, and fitting a judgment index after performing linear normalization processing on the data by virtue of a deep learning technology. By comparing the judgment index Pdzs with the qualified threshold value, the system can intelligently judge whether starting is successful or not, automatically control power output, avoid excessive current output and prolong the service life of equipment.

The invention discloses a well station instrument fault intelligent diagnosis system and diagnosis method based on big data and artificial intelligence, and the system comprises a well station instrument data management and acquisition module which collects and stores well station instrument data in real time, and provides a visual data display interface at the same time, so that an operator can know the operation state of a well station in time; the well station instrument data analyzing and processing module is used for analyzing the collected well station instrument data and extracting key index data; according to the well station instrument fault early warning model system, a multi-level early warning model is created, and potential faults of well station instruments can be effectively recognized and predicted; and the well station instrument fault diagnosis and analysis module is used for quickly identifying abnormal conditions in the well station instrument data, making fault early warning and analysis reports and providing the fault early warning and analysis reports to management personnel. According to the intelligent diagnosis system and the diagnosis method, problems possibly occurring in production are analyzed and predicted through an intelligent algorithm and a model, and corresponding measures are taken in advance so as to ensure safety and stability of oil well production.

The invention discloses a non-intrusive digital power grid asset identification method and system based on deep learning, and relates to the technical field of asset security management and control, and the method comprises the steps: collecting network flow data, and carrying out the data preprocessing of original data; building a first model based on the network traffic data; and performing asset decision on the equipment through a first method. According to the non-intrusive digital power grid asset identification method based on deep learning provided by the invention, by passively monitoring the network traffic instead of actively sending the packet, the extra burden and security risk caused to the operation of the power grid are avoided, the recurrent neural network RNN is selected as a core model, the time dependence and periodic change in the network traffic are effectively captured, and the identification accuracy of the assets of the power grid is improved. Compared with the prior art, the method has the advantages that strong technical support is provided for asset identification, the One-Hot coding feature engineering technology is adopted, the generalization ability of the model is improved, the Moore voting mechanism is introduced to carry out final asset decision making, convenience and flexibility are improved, and better effects are achieved in the aspects of safety, generalization ability and flexibility.

The invention discloses an Internet of Things secret change integrated information security protection system, relates to the technical field of information security, and aims to solve the problems of inflexible secret key management, insufficient encryption strength, indynamic authority management, limited attack detection capability and protection response lag in an existing Internet of Things system. The system is composed of a data encryption module, a dynamic key generation module, a key synchronization module, an access control module, an attack detection module and a protection strategy module. A dynamic key is generated based on a device identifier and a timestamp through a dynamic key generation module, so that the key is unique and updated in real time; the data encryption module adopts a dynamic mask block encryption algorithm to effectively resist data eavesdropping and tampering; the access control module dynamically adjusts the permissions between the devices through the permission matrix; the attack detection module monitors equipment abnormity in real time through behavior pattern analysis; and the protection strategy module updates the key or isolates the equipment after detecting the abnormity, so as to prevent attack diffusion.

The invention relates to the technical field of intelligent management and control of ships, and discloses an intelligent management and control method and system on a large and medium-sized ship terminal, and the method comprises the steps: detecting meteorological conditions in real time through meteorological and hydrological collection equipment, providing important navigation information, predicting severe weather to ensure the navigation safety, and carrying out the route planning through combining the meteorological condition data; a camera is used for monitoring a key area of the ship, mastering the operation condition of the ship in real time, carrying out safety monitoring on the ship, and carrying out key event detection; the edge gateway is used as a connection and conversion medium between different networks; the position, identity and speed information of the ships is automatically sent and received through the AI automatic recognition system, and communication and recognition between the ships and between the ships and a shore-based management mechanism are helped. By installing meteorological and hydrological acquisition equipment, cameras, edge gateways, AIS and other production data acquisition equipment on large and medium-sized ships, intelligent management and control of real-time hydrological and hydrological information monitoring, unmanned driving recognition and personnel behavior recognition are achieved.

The invention relates to a livelihood public opinion big data-based territorial space planning implementation monitoring method, which comprises the following steps of: constructing a multi-level space unit and a territorial space information lexicon according to territorial space multi-source data, and matching livelihood public opinion big data in the territorial space information lexicon to obtain a spatial position; matching the obtained spatial position with a multi-level spatial unit to obtain a spatial unit corresponding to the spatial position; identifying an emotion label for each record in the livelihood public opinion big data, and calculating a livelihood emotion index planned and implemented in the spatial range of each hierarchical spatial unit according to the emotion label; and processing the livelihood public opinion big data to obtain a territorial space livelihood keyword library, updating the territorial space livelihood keyword library, and generating each level of space unit planning and implementing livelihood public opinion keywords in combination with the territorial space information word library and the updated territorial space livelihood keyword library. The method can dynamically monitor subjective feelings of the public on planning implementation conditions and key problems of social livelihood attention.

The invention relates to the technical field of unmanned aerial vehicle inspection, and discloses an automatic planning system for an unmanned aerial vehicle inspection task in a limited space. Comprising a task planning and scheduling module, an environment modeling and sensing module, a flight control module, a data acquisition and processing module, a communication and data transmission module, an intelligent analysis and decision module and a user interface and interaction module. According to the unmanned aerial vehicle inspection task automatic planning system in the limited space, through mutual cooperation of multiple modules and acquisition and analysis of use environment data, the automatic planning system can enable an unmanned aerial vehicle to automatically take off, execute an inspection task and safely land according to a preset task, and manual real-time control is not needed, so that the manpower demand is greatly reduced; and the inspection efficiency and frequency are improved.

The embodiment of the invention discloses a steel bar binding point panoramic recognition method and system and electronic equipment. The method comprises the following steps: acquiring a video stream shot by an industrial camera mounted on a portal frame under a moving condition to extract images and obtain a plurality of camera view images; fusing and splicing the plurality of camera view images to obtain a scene panoramic image; performing cross intersection detection on the scene panoramic image to obtain intersection information; wherein the cross point information comprises a target frame of a bound cross point and a target frame of an unbound cross point; and the cross point information is sent to a binding mechanical arm, so that the binding mechanical arm determines the coordinates of the cross cross points which are not bound, and binding is carried out. By implementing the method provided by the embodiment of the invention, the panoramic view angle image of steel bar binding can be identified, so that all binding points can be effectively identified and detected, and potential safety risks are avoided.

The invention discloses a multi-level security authentication method and system, and relates to the technical field of the Internet of Things, and the method comprises the steps: enabling a new node to verify the anti-quantum signature legality and behavior feature trust score of an identity certificate through a neighbor node according to a dynamic authentication path, and outputting a device layer authentication result; according to the equipment layer authentication result, selecting a verification node in an authentication path to carry out identity recheck and trust score weighted updating on a new node to obtain a neighbor layer authentication result and a whole network trust score; based on the neighbor layer authentication result, the core node verifies the whole network trust score and anti-quantum signature legality of the new node through the dynamic authentication atlas, and performs updating and anomaly detection on the dynamic atlas; through anti-quantum signature verification and behavior feature trust scoring, the ability of new node authentication to resist quantum computing attack and malicious node disguise is enhanced.

The embodiment of the invention discloses a rice processing precision detection method, electronic equipment and a storage medium, and relates to the technical field of image processing. The method comprises the steps that an outer surface image of undyed rice is acquired, and the outer surface image comprises a front image and / or other surface images; segmenting a seed coat area, an endosperm area and a rice complete area in the outer surface image by using an image segmentation algorithm; and determining the rice processing precision by utilizing the areas of the seed coat area, the endosperm area and the rice complete area. The embodiment of the invention provides a dyeing-free rice processing precision detection method.

The invention discloses a cable stretching testing device and method, and belongs to the technical field of cable stretching testing, and the cable stretching testing device comprises a stretching mechanism which applies a pulling force to a cable so as to stretch the cable; the detection mechanism is used for acquiring a real-time tension value and a real-time elongation when the cable is stretched; the processing mechanism is used for processing and generating a cable tensile fracture analysis result according to the real-time tension value and the real-time elongation when the cable is stretched; and the control mechanism determines whether a fracture early warning prompt is generated or not according to the cable tensile fracture analysis result. According to the invention, the abnormal stretching state of the cable can be found in time, and accidental breakage of the cable in the testing process is effectively prevented, so that equipment damage and personnel safety risks caused by sudden breakage of the cable are avoided.

The utility model provides a material receiving device for lead frame processing, and belongs to the technical field of electronic component processing. The platen is arranged behind the outlet of the punching machine, the upper counting assembly is arranged on the platen, the supports on the two sides of the upper counting assembly are arranged on the two sides of the outlet of the punching machine respectively, the supporting frames capable of stretching out or drawing back are arranged on the supports, and the counting sensor is installed on the support on one side. A lower collecting and feeding assembly comprising a plurality of conveying belts is arranged below an upper counting assembly, so that lead frames sent out from an outlet of a punching machine can be supported by a bearing frame firstly and are counted independently through a counting sensor, and the counted lead frames fall onto the conveying belts and are stacked under the guiding effect of a side support. And after being stacked to the preset number, the materials are conveyed out through the conveying belt, the collecting and arranging requirements are met, manual participation is not needed, the workload is lower, the machining efficiency is higher, meanwhile, the safety risk existing in manual arranging can be avoided, and the machining safety is improved.

The invention relates to the technical field of generator set fault detection, in particular to a nuclear power emergency diesel generator set health detection method. Vibration signals and thermal parameters in the working process of the diesel generating set are collected through an external sensing device; filtering the collected vibration signals and establishing a dynamic data set; establishing a kinetic model of the diesel generating set according to the vibration signals in the dynamic data set, and performing anomaly analysis according to the established kinetic model and the thermal parameters to obtain abnormal vibration signals; and evaluating the health degree of the diesel generating set according to the abnormal vibration signal. The invention further provides a nuclear power emergency diesel generating set health detection system, the nuclear power emergency diesel generating set health detection method is adopted to achieve real-time monitoring and early warning of the diesel generating set, and the operation efficiency and safety of the emergency diesel generating set are effectively improved.