499 results about "Collection analysis" patented technology

The invention discloses a self-balancing motorized spindle comprehensive performance test platform. A balancing head is arranged at the front end of a motorized spindle, a non-balancing simulation disc is used for fixing the balancing head and simulating the imbalance of the motorized spindle, an optical fiber sensor is embedded in a stator of the balancing head, an acceleration sensor is installed on a front bearing seat of the motorized spindle, two mutually perpendicular displacement sensors are arranged at a shaft section at the front end of the motorized spindle in the radial direction, temperature sensors are arranged on a motorized spindle shell body and an outer ring of a supporting bearing of the motorized spindle shell body, and a high-precision displacement sensor is arranged at the front end of the motorized spindle in the axial direction. The rotation speed of the spindle, the vibration of the shell body, vibration of a shaft, axis track, the temperature of a motor winding and the bearing, and heat deformation of the shaft are respectively detected, and signals output by each sensor pass a sensor signal integration transducing unit and then are respectively input to a vehicle-mounted unit, a portable signal collection analysis instrument and an electric control cabinet. The self-balancing motorized spindle comprehensive performance test platform realizes the functions of on-line dynamic balancing, automatic alarming, active machine stopping and the like, and has the advantages of being high in integration degree, comprehensive in function, controllable in fault and the like.

The invention provides a measurement testing device of external characteristics and internal flow of a fused salt model pump. The measurement testing device of external characteristics and internal flow of the fused salt model pump is mainly used for measuring the external characteristics and an internal velocity field of the fused salt model pump, and carrying out shooting and research of high-speed flow inside the fused salt model pump. The measurement testing device of external characteristics and internal flow of the fused salt model pump mainly comprises a pipeline system, a power transmission system, a model pump, an external characteristic data acquisition and analysis system and an internal flow measurement system. Arrangement of the pipeline system ensures an enough operating space, high measurement accuracy and convenience of testing when tests are carried out. The power transmission system provides power for stable operation of the fused salt model pump. An impeller and a pump supporting seat of the fused salt model pump are made of stainless steel, other components of the fused salt model pump are made of organic glass, and the fused salt model pump has the advantages of being good in hydraulic performance, high in strength, wide in measurable area and the like. The external characteristic data acquisition and analysis system collects signals of pressure, revolving speed, torque, flow and the like, the signals are processed and analyzed, and the external characteristics of the fused salt model pump are obtained. The internal flow measurement system can carry out peak inverse voltage (PIV) measurement to the internal velocity field of the fused salt model pump, carries out internal peeping high-speed imaging to internal flow of the fused salt model pump, and achieves research of an internal whole flow field of fused salt model pump.

The present invention belongs to the related technical field of intelligent manufacturing, and discloses a production site data online collection analysis and fault prediction system. The system is constructed based on B / S configuration, and comprises a bottom-layer sensing network unit, a lower computer collection state unit and an upper computer server unit, wherein the lower computer collectionstate unit is in signal connection with the bottom-layer sensing network unit, and is configured to obtain various real-time data comprising a device state, a production process, product quality andlogistics information of an intelligent manufacturing workshop in real time and extract feature data; the upper computer server unit is configured to perform visual display of workshop poses and operation states based on the real-time data, predict and obtain faults of each device based on the feature data and give a targeted fault maintenance measure. According to the invention, the uniform networking management of the intelligent manufacturing workshop devices can be achieved to thoroughly eliminate an information island and mainly give a targeted solution means for the device faults and energy consumption.

The invention discloses a mass spectra ion source without exterior high pressure and ionization analysis method, pertaining to food safety detective technology field. The ionization sources of the invention include electric atomizer, capillary, peristaltic pump, inert gas source and ionization source. The atomization system comprises the electric atomizer and the analyzed sample, the capillary is fixedly arranged at the center of the pipe of electric atomizer, an inlet duct is connected with the pipe of the electric atomizer in the lateral plane and connected with the inert gas source by stainless steel channel; the sampling outlet of the mass spectra is an ion collection analysis device while being arranged above the sample to be analyzed. The whole electric atomizer system does not adopt high pressure in any composition. When in use, person can directly hold the food by hand while rough scanning. The apparatus puts an end to the risk factor of high electric field exert by the electric atomizer, further the design of the apparatus is simple for disassembly, and the independent and standardized elements make the atomization system not prone to be polluted and can be applied in various food safety monitoring places.

The invention discloses a system for acquiring and analyzing remote data of a bridge. The system comprises a data acquisition module, a data monitoring module, a data storage module and a control module, wherein the control module is connected with the data acquisition module, the data monitoring module and the data storage module and used for controlling the operations of the data acquisition module, the data monitoring module and the data storage module. The remote real-time system for acquiring and analyzing the data of the bridge can be accessed to a bridge acquisition and analyzing system. The system is mainly used for improving the level and efficiency of running, maintenance and management of a large bridge engineering structure, and is favorable for ensuring the security of structures and traveling vehicles.

The invention discloses a simultaneous monitoring and optimizing system for multiple interfaces of wireless communication network, comprising: a terminal test module, a simultaneous and communication control module, an access network and core network signaling monitoring module and a data processing module. The invention further discloses a simultaneous monitoring and optimizing method for multiple interfaces of wireless communication network. The terminal test module as well as the access network and core network signal monitoring module of the invention are respectively in charge of terminal side signaling and parameter collection test as well as signaling collection analysis of access network and core network, synchronizes the collection process of the three parties by the simultaneous and communication control module, and then real-time processing and tabulate statistics are performed for the signaling and parameters by the data processing module, positioning and analyzing the network, thereby greatly improving optimization efficiency of wireless network.

The invention discloses a cluster management method and device, terminal equipment and a storage medium. The method comprises the following steps that: a cluster side acquires basic resource data in real time, processes the basic resource data through a log collection analysis framework so as to obtain target resource data; the target resource data is sent to a monitoring side; the monitoring sidereceives the target resource data sent by the cluster side, and stores the target resource data in a preset database; the target resource data is displayed by constructing a visual interface; a corresponding cluster management instruction is generated if the monitoring side detects a management operation on the visual interface by a user; the cluster management instruction is sent to the clusterside; and the cluster side receives the cluster management instruction sent by the monitoring side, and performs the cluster management according to the cluster management instruction. Through the technical scheme disclosed by the invention, the majority of redundancy information is filtered through the log collecting framework, and the cluster management efficiency is improved through the displayand management of the visual interface.

The invention discloses a real-time agricultural irrigation monitoring and regulating system based on big data and the Internet of Things. The real-time agricultural irrigation monitoring and regulating system based on big data and the Internet of Things comprises a data collecting module, a data processing module, an image collecting module, an image processing module, an image feature analyzingmodule, a manual input module, a storage database, a cloud server, an irrigation coefficient analyzing module, an irrigation execution end, a fertilization execution end and a display. According to the provided intelligent constructional engineering construction operation environment monitoring system based on big data, by collecting and processing image information of crops, analyzing the kinds and growth stages of the crops in combination with collection and processing of the soil humidity, the air temperature, the air humidity and the wind speed in farmland within various collection time periods, counting irrigation coefficients of crop soil, and then extracting the volume, corresponding to each irrigation coefficient, of water needed for irrigation per square meter according to the corresponding irrigation coefficient of the crop soil to obtain the irrigation water volume corresponding to an occupied area of the farmland, collecting and analyzing nutrient elements of the farmland soil at the same time, and supplying nutrient elements which the soil is short of in time, irrigation and fertilization integrated operation is achieved, the accuracy of the irrigation water volume andthe fertilization amount of the soil is improved, and the water requirement and the fertilization amount of the soil can be analyzed reasonably according to the current practical situations of the soil and the crops, so as to conduct intelligent irrigation and fertilization, so that waste of water resources and fertilizers and high human cost are reduced.

A test device used for measuring frictional torque of bearing is prepared for driving internal ring of measured bearing to rotate together when internal shaft is driven to rotate by motor converting torque signal of said ring to force signal of driving pin under action of friction torque between internal and external ring on measured bearing, converting force signal to be strain signal of cantilever, carrying out measurement by stress-strain transducer to convert strain signal to be electric signal and carrying out conversion and regulation on said electric signal by strain collection-analysis system for realizing accurate test on frictional torque.

The invention discloses an Internet of Things safety monitoring method and system based on double engines, and the method comprises the steps: deploying a detection processing engine in an Internet ofThings sensing layer in advance, and deploying a collection analysis engine in a network layer of the Internet of Things; discovering and identifying terminal equipment of the Internet of Things through a detection processing engine, obtaining equipment information of the terminal equipment, and reporting equipment attributes and equipment state information to an acquisition analysis engine; andacquiring, by the acquisition and analysis engine, flow data of a network core switch, constructing a network behavior analysis model of the terminal equipment according to the flow data and equipmentinformation of the terminal equipment, monitoring abnormal network behaviors by using the network behavior analysis model, and performing alarm and / or blocking operation. Through linkage of the two types of engines, terminal equipment discovery and identification and risk disposal are realized, centralized management and control and behavior analysis are performed on the dispersedly isolated Internet of Things terminals, the comprehensiveness and accuracy of behavior analysis and monitoring are improved, and the disposal efficiency is ensured.

The invention discloses a forestry fire prevention intelligent inspection monitoring and early warning system based on big data. The system comprises an inspection area division module, an unmanned aerial vehicle, an unmanned aerial vehicle inspection route matching module, a database, a plant height acquisition module, an inspection height adjustment module, a fire hazard inspection parameter acquisition and analysis module, a GPS positioning module, a distance navigation module, a central monitoring platform and an early warning module.According to the invention, the forest area is divided;the unmanned aerial vehicle is used for replacing manual inspection, infrared thermal imaging shooting is carried out on the inspection subareas in the inspection process to count fire points with fire risks, meanwhile, flames and visible smoke phenomena of all the inspection subareas are monitored, intelligent inspection monitoring can be carried out on forest fires, the inspection efficiency ishigh, The forestry fire prevention intelligent inspection monitoring and early warning system has the advantages of being high in monitoring speed, high in timeliness and high in accuracy, meanwhile,the fire point position is positioned, the positioned geographical position is sent to forest protection personnel, the forest protection personnel go to extinguish a fire, and therefore damage to forest resources is reduced.

The embodiment of the invention discloses a quick detection system suitable for aviation oil wear particle information. The quick detection system comprises a laser-induced breakdown mechanism, a laser irradiation mechanism, a quartz pipeline, a pump, a hydrodynamic groove, a spectrum collection analysis mechanism and an imaging processing mechanism, wherein the quartz pipeline, the pump and the hydrodynamic groove can form a communicating loop, and a granular test sample can circularly flow in the loop; the laser-induced breakdown mechanism can output high energy laser pulse, and the high energy laser pulse is beam expanded and focused to the quartz pipeline to act on the granular test sample to generate plasma; a spectrum collection device can collect plasma spectrums, and the ingredients and the contents of all the metal elements in the granular test sample can be obtained through a spectrum analyzer; the laser irradiation mechanism can output continuous visible laser, the continuous visible laser is beam expanded to irradiate the granular test sample in the quartz pipeline, speckle images and metal particle shadow images can be formed on a receiving screen, and the speckle images and the metal particle shadow images are processed by a CCD imaging device to obtain the movement velocity information of metal particles and the actual sizes of the particles. The quick detectionsystem disclosed by the embodiment of the invention can quickly achieve change detection on ingredients and contents of the ingredients in large and small wear particles.

A system, method and computer program product for source area contamination data acquisition, analysis and processing. The present invention leverages and expands direct sensing technology, knowledge and experience to provide detailed, real-time images of subsurface conditions. The latest technologies in sensors, digital processing, computation and 3D visualization are used to enable clients to work with a single contractor who can perform data acquisition, processing and analysis necessary to produce quantifiable, user-friendly 3D maps on a daily basis which can be delivered via the Internet and / or to mobile devices. This allows the owner and site project manager to make timely decisions as they guide investigation, remediation and monitoring efforts.

The invention discloses a zero false alarm networking video security method and a system thereof. A video collection analysis client is used for finding an alert video, the alert video is transmitted to a service center platform through a network, and the service center platform further judges the alert video according to pre-registered client information corresponding to the client, determines whether the alert video is an effective alarm and then gives corresponding alarm response measures. A network client is arranged in the system. The zero false alarm networking video security method and the system have the advantages that the condition of false alarm can be prevented, unnecessary disturbance to a host of the client is avoided, and simultaneously, obligee of the host of the client can conveniently and real-timely monitor the client and set relevant information, so that using of the client obligee is facilitated, alarming information can be timely processed, and property safety of consumers of the client is protected to the greatest extent.

The invention relates to a digital auditing system based on a process automation technology. The digital auditing system includes a task setting module, a data acquisition module, a data processing module, a data storage module, a data analysis module and a data visualization module which are connected in sequence; a data acquisition source of the data acquisition module comprises Internet data and enterprise operation management data, the data processing module can convert unstructured data into effective information for extraction, and the system finally outputs audit results from the data visualization module. According to the invention, through the model constructed for the intelligent auditing system, the occurring business is used as an auditing and monitoring object, data is automatically collected and analyzed, doubtful data is automatically output, the electricity handling procedure, time and cost are accurately positioned, and a valuable auditing system and method are provided for company strategy adjustment and management improvement.

The invention discloses a rapid web flow collection statistical system and method. Based on processing on one-machine web server real-time statistical service flow, the web flow real-time statistical aim is achieved with less resource cost. According to the technical scheme, the rapid web flow collection statistical system comprises a flow collection analysis device, a flow transferring merging device and a flow final-merging device. The flow collection analysis device is deployed on a content distribution network node and collects and analyzes a flow log in real time, service flow data for generating a single node are counted, and the service flow data of the single node are sent to the flow transferring merging device. The flow transferring merging device is deployed on a flow transferring merging node, merging counting is carried out on the service flow data of the content distribution network node, middle flow data of a service are generated in real time, and then the middle flow data are transmitted to the flow final-merging device. The flow final-merging device is deployed on a flow final-merging node, merging counting is carried out on the middle flow data of the service in real time, and final flow data of the service are generated.

The invention provides a malicious domain name determination method based on frequency characteristics in the field of network information security. The invention is characterized by putting forward a method for detecting network attacks by fusing a multi-dimensional frequency characteristic evaluation system, synthesizing high-frequency domain name resolution and search engine collection analysis and evaluating the risk levels of malicious domain names. The existing method for judging a domain name as a malicious domain name based on a single condition has high false alarm rate, which needs to be urgently solved. The method adopts the multi-dimensional frequency characteristic evaluation system for allocating different weights for different level determination conditions, performing overall evaluation on a domain name according to the weight of each condition to obtain a risk level percentage that the domain name is a malicious domain name, and then determining whether the domain name is a malicious domain name.

The invention discloses a device for testing friction moment of pairing rolling bearings. The device for testing the friction moment of the pairing rolling bearings comprises a motor, a coupler, the pairing rolling bearings, a stress strain sensor, a strain collection analysis system and a motor controller connected with the motor, wherein the motor, the coupler and the pairing rolling bearings are sequentially installed in a matched mode, and the stress strain sensor and the strain collection analysis system are sequentially connected with the pairing rolling bearings. The device for testing the friction moment of the pairing rolling bearings can overcome the defects that a device for testing the friction moment in the prior art is not suitable for the pairing rolling bearings and is single in a loading mode, poor in practical applicability and the like, and has the advantages of being suitable for the pairing rolling bearings and being good in stability, high in measurement accuracy and good in practical applicability.

A quality information collection analysis system includes at least one assembly installation having at least one assembly machine which assembles a component, and outputs an assembly time of an assembly as a production time, at least one inspection machine which inspects the assembly to which the component is assembled by the assembly machine, and outputs an inspection result of the assembly as inspection information, and a quality collection analysis device which manages quality information of the assembly, having a storing section which stores information of the component, the production time and the inspection information and a quality information collection analysis section which analyzes a defect factor of the assembly by using the information of the component, the production time and the inspection result.

The invention relates to a data collecting and analyzing device for an energy storage system and a collecting and analyzing method thereof. The device collects data of three paths of voltage signals and three paths of current signals of a grid-connected system in a mode of high speed to realize measurement and calculation of parameters such as voltage deviation, frequency deviation, power factors, voltage harmonic, current harmonic, degree of voltage unbalance and the like and estimate for switching time of charging and discharging of the grid-connected system, and the like. Meanwhile, the device can also test and calculate parameters such as direct voltage, direct current, voltage harmonic, current harmonic and the like of the grid-connected system and the interface part of a direct-current battery pack, and the device detects the influence of the grid-connected system for an energy storage battery pack in real time. If necessary, the device can carry out appropriate alarm and system protection.

The invention discloses a malicious-software characteristic clustering analysis method and system based on behavior segment sharing. The malicious-software characteristic clustering analysis method comprises the following steps of: distributing acquisition and analysis nodes, establishing a distribution type hash table module, segmenting behaviors of an acquired malicious software sample into behavior segments, and storing the behavior segments to a hash table; and carrying out statistics on the global characteristics of the segments, returning the global characteristics to the acquisition and analysis nodes which construct a characteristic vector of the malicious software sample, carrying out clustering, and extracting the characteristics and the attributes of the clustering as a comprehensive analysis result and inputting the result. The system comprises a plurality of acquisition and analysis nodes which comprise a behavior-segment segmenting module, the distribution type hash table module, a behavior-segment synergy sharing module, a malicious-software sample representation module, a malicious-software sample local clustering module and a malicious-software sample local analysis module. The invention has the advantages of high analysis accuracy, strong analysis performance and good expandability.

The invention provides a coupled vibration simulation experiment table of an aero-engine hydraulic pipeline system and belongs to the technical field of pipe vibration simulation experiments. The coupled vibration simulation experiment table comprises a pipeline carrier shock excitation unit, a signal collection analysis control unit and a hydraulic pipeline oil supply system unit. Compared with the prior art, a testing hydraulic pipeline of the hydraulic pipeline oil supply system unit is installed on a case body of the pipeline carrier shock excitation unit. Due to the fact that the case body simulates a structure of an aero-engine case, the vibration influence of the aero-engine case to the testing hydraulic pipe can be simulated, simulation of different installing modes of an aero-engine hydraulic pipeline is achieved by changing the installing-clamping position of a hoop on the case body, a vibration signal acquired by a displacement sensor of the signal collection analysis control unit is analyzed and processed to obtain vibration characteristics and a mechanism, a reasonable basis is provided for hydraulic pipeline system vibration faults, and the vibration situation of the hydraulic pipeline system can be really reflected.

The invention discloses an in-situ online collection analysis meter for aerosol carbonaceous components and an operation method. The meter comprises a carrier gas path system and a sampling-analyzing gas path system. The carrier gas path system comprises a main He gas path, a He gas purging path, a He / Ox gas path and a He / CH4 gas path. The sampling-analyzing gas path system comprises a sampling and analyzing-oxidizing furnace and an analyzing gas path. The online collection analysis method sequentially comprises the steps of sampling, purging, OC analyzing, EC analyzing, methane quantifying, methane determining, meter cooling and standby. According to the meter, other structures except quartz film are not arranged in a laser light path, so the accuracy of the light path is guaranteed; cutting points are calibrated at the same time through transmission lasers and reflection lasers, and change in blackness of the film is reflected comprehensively; a valve body is designed to greatly lower the quantitative error of internal standard gas of methane, so the stability of the internal standard gas is guaranteed, and the accuracy of measured results of EC and OC is improved; the gas paths are designed to guarantee the singularity of components of carrier gas in the systems and the stability of the system background at the analysis phase.

The application provides an intellectual property operation system and method; the system comprises the following units: a patent data acquisition module used for obtaining enterprise patent data; a technology classification module used for dividing technical fields for the enterprise patents according to preset classification strategies; a patent portfolio module used for gathering, analyzing, evaluating and building patent portfolios for the data after technology classification; a patent operation module used for operating said patent portfolios according to preset operation strategies. Themethod builds the intellectual property layout protection and operation work system for the enterprises, thus effectively improving the enterprise international competitiveness and influences.

A five-sense-organ and surgical medical data acquisition, analysis and intelligent diagnosis integrated robot is a physical examination medical data acquisition and analysis robot platform system built by combining an artificial intelligence robot system with various data acquisition devices and other nodes. The functions of robot voice interaction, arm action interaction, data acquisition, data analysis and the like are achieved in combination with a robot node communication principle by applying a data acquisition technology and data analysis; data such as height, weight, electrocardiogram,blood pressure, oral cavity, ears and eyes are monitored through a camera and various sensors carried on a robot platform; and medical indexes are intelligently detected, wherein the medical indexes include the problems of common oral diseases, ear abnormality, eye vision, ametropia classification and the like. The medical data are classified by using a neural network algorithm, and the problems of eye, ear and oral abnormality and the like are analyzed by using the data analysis technology. The body temperature is measured by using infrared sensing. The medical data are efficiently collectedunder robot voice guidance. Abnormal symptoms are effectively checked and regularly detected, and intelligent physical examination result feedback and regular examination prompting are achieved according to physical standards, analyzed data, intelligent inquiry, remote health inquiry and the like.

The invention discloses a variable-damping vibration attenuation and noise reduction device for a valve and belongs to the field of vibration control. The combined variable-damping vibration attenuation and noise reduction device comprises a vibration transmission clamp, a magnetorheological fluid damper and a vibration collection analysis and control system. According to the device, the vibration transmission clamp mounted on a valve rod is used for transmitting vibration to the magnetorheological fluid damper to drive a movable shearing sheet to do shearing motion in magnetorheological fluid and to produce the damping force to offset the vibration energy of the valve; the vibration collection analysis and control system is used for monitoring the change of vibration parameters of the valve in real time, and adjusting the magnitude of the damping force of the damper according to the vibration parameters and in combination with the size and type of the valve and the structural parameters of the damper, so the active closed-loop control of the valve system vibration is realized. The combined variable-damping vibration attenuation and noise reduction device has the advantages that the vibration of different valves by different reasons can be effectively reduced, and the vibration and noise control of the valve under variable working conditions and opening degrees is realized.

The invention relates to the field of automobile maintenance, in particular to an analysis and evaluation system of the intelligent automobile maintenance period and abrasion service life of all units. According to the technical scheme, the analysis and evaluation system of the intelligent automobile maintenance period and the abrasion service life of all the units comprises an automobile OBD protocol adapter module, an interpretation and analysis procedure, client software and a background management system. The system is characterized in that according to the scheme, automobile state information is read according to an automobile OBD port, so that working condition data such as usage data of an engine, storing duration and storing mileage of lubricating oil, start frequency accumulation and the average speed is obtained, the model is subjected to collection analysis judgment and calculation, scientific and accurate maintenance period bases of all the units are obtained, the automobile cost is lowered, the use efficiency of the automobile is improved, and meanwhile evaluation of states such as the service life of the engine and all parts can be presumed.

The present application discloses a security issue generation and identity authentication method and device. During generation of a security issue, firstly, a generation instruction for a security issue is sent to a terminal firstly so as to make the terminal return a reference picture generated under a user operation; secondly, a plurality of confusion pictures corresponding to the reference picture are determined according to the reference picture; and finally, a security issue is generated according to the reference picture and each confusion picture, and identity authentication is performed by using the security issue as needed. Obviously, since the security issue is generated on the basis of the reference picture and the reference picture is generated under the user operation, the degree of participation of a user during generation of the security issue is improved, the memorizing effect of the user on the security issue is improved, and the usability of the security issue is improved; and moreover, behavior data of the user does not need to be collected and analyzed, the generation cost is reduced, and the efficiency of identity authentication is improved.

The invention relates to an experimental animal sign information acquisition and analysis system and a collection and analysis method thereof, which are characterized by comprising a hardware system, a software system and an implementation method. The hardware system comprises a light source, a shading component, a digital camera, a stepper motor for controlling the digital camera to move, a connecting device and a computer. The software system comprises a digital camera moving and shooting control program, a database program, and an image analysis program. The implementation method is that: experimenters operate the system to complete the collection and analysis of data according to instructions. The image analysis program also comprises a tongue image automatic collection and analysis module, a whole hair color collection and analysis module, an ear collection and analysis module, a claw collection and analysis module, and a tail collection and analysis module. The analysis method comprises the following steps of automatic image storage, smart-cut of analysis target images, and automatic extraction and storage of sign data. The system has a scientific design and high degree of automation, is convenient to use, and can be used for a collection and analysis research of various experimental animal sign images, and the obtained experimental data is objective, scientific, and reliable.

The invention relates to the technical field of power monitoring, and provides an intelligent detection system and method for the state of a power grid unit. The system comprises a sensor unit, a dataacquisition and analysis module, a field server and a remote diagnosis center, wherein the sensor unit is used for monitoring unit operation parameters; monitoring signals are uploaded to the data acquisition and analysis module through relatively independent signal channels; the data acquisition and analysis module is used for processing and analyzing unit operation parameters and uploading theunit operation parameters to the remote diagnosis center through the field server; and the remote diagnosis center is used for analyzing and judging abnormal detection points. According to the intelligent detection system with the remote diagnosis center as the core, important operation parameters of all parts are obtained through a sensor unit composed of multiple sensors, and a signal algorithmlibrary and a fault judgment case library are matched to serve as supports for fault diagnosis to monitor, recognize and judge potential faults of main components of a unit.