401results about How to "Improve operation and maintenance efficiency" patented technology

The invention discloses an industrial intelligent safety risk early warning and management and control platform, and relates to the technical field of industrial safety monitoring and management and control. The industrial intelligent security risk early warning and management and control platform comprises a full-scene perception layer, a data management layer, an intelligent risk identification layer, a hierarchical management and control layer and a global operation and maintenance layer, and each layer and an edge computing node construct a distributed data interaction network through an industrial Ethernet; the scene sensing layer is used for realizing all-region and all-time security data acquisition of industrial production and comprises a multi-mode sensing terminal array, an equipment protocol adaptation module, a personnel state monitoring unit and an acquisition scheduling module; according to the industrial intelligent safety risk early warning and management and control platform, through a multi-mode terminal array and a dynamic acquisition scheduling mechanism of a full-scene sensing layer, full-area and full-time-period automatic monitoring of industrial production is realized, dependence on manual inspection is thoroughly eliminated, the problems of low manual inspection efficiency and missing inspection of hidden risk points are effectively solved, and the industrial production safety risk early warning and management and control platform is suitable for popularization and application. And the monitoring coverage rate is improved to 100%.

The invention discloses an IDC machine room fault point prediction method and system based on artificial intelligence and the Internet of Things, relates to the technical field of computers, and aims to solve the problems that hidden risks cannot be identified before temperature exceeds a limit, fault response is passive, and fault cause interpretation ability is lacked in the aspects of heat dissipation and airflow organization management of an existing IDC machine room. According to the method, data of a PDU, a UPS, an air conditioner, a temperature and humidity probe, a BMC, an entrance guard and the like are analyzed and standardized through data access of the Internet of Things, and a unified time axis is constructed to carry out quality marking and credible normal fragment screening; based on cabinet topology and an air supply partition map, effective air volume and theoretical temperature rise are estimated, a cabinet-level air supply temperature field is solved under anchoring constraint and spatial smooth constraint, and the short-circuit air return proportion and a vertical hot spot height section are further inverted; therefore, early prediction, accurate positioning and explainable output of fault points are realized, and the stability and the operation and maintenance efficiency of the machine room are improved.

The invention provides a hollow-core-to-hollow or solid-core-to-hollow optical fiber connection jumper wire and a preparation method thereof. The jumper wire comprises a transmission fiber and connectors connected to the two ends of the transmission fiber. The transmission fiber is a hollow-core optical fiber, the connector comprises an optical fiber fixing device and an integrated welding structure fixed in the optical fiber fixing device, the integrated welding structure comprises a transmission fiber, a coating film and a transition fiber which are fixedly connected in sequence, the coating film performs anti-reflection on a set wavelength, the transition fiber is a solid-core optical fiber, and the outer side end of the transition fiber serves as the output end of the connector; and the output ends of different connectors are oppositely arranged so as to realize transmission connection between different jumpers. Pluggable, stable and reliable connection between the hollow-core optical fibers or between the hollow-core optical fibers and the solid-core optical fibers is achieved.

The invention provides a security situation awareness method and system based on a three-dimensional GIS and a panoramic video, and the method comprises the steps: constructing a three-dimensional scene model of a monitoring region on a three-dimensional GIS platform, accessing a plurality of cameras and an environment sensor, and achieving the space-time alignment and coordinate unification of a video stream and multi-source sensing data; projecting a video frame to a three-dimensional scene based on internal and external parameters of a camera to generate a panoramic video picture, and performing detection and cross-camera tracking on pedestrians and vehicles by adopting a target detection model to obtain a target three-dimensional track; predicting a target position and local density change by using a time sequence prediction model, judging anomalies including congestion, retention and retrograde driving, and sending out an early warning; camera deployment and cooperative tracking are planned through a point location optimization algorithm, and monitoring blind areas are reduced; the system comprises a data acquisition module, a space-time alignment module, a three-dimensional mapping module, a target detection and tracking module, a situation analysis module, a point location planning module and a situation display module, and can improve the automation and precision of security situation awareness in a complex scene.

The invention provides a data analysis system and method for evaluating a data center cold water link state, and belongs to the technical field of data center infrastructure intelligent operation and maintenance. According to the system, multi-source operation data of a cold machine, a water pump, a tail end air conditioner and a cabinet monitoring system in a cold water link are collected, and a dynamic threshold pool is constructed after working condition layering preprocessing so as to identify equipment abnormity; the method comprises the following steps: establishing a directed graph model based on a chilled water system topological structure, constructing a Bayesian network by fusing process logic, and reversely calculating a root cause posterior probability of each device when a cabinet hotspot event occurs; and generating an influence weight ranking list by integrating the abnormal strength of the equipment, the root cause probability, the topological key coefficient and the redundancy weakening coefficient, and further performing quantitative scoring and state grading on the overall availability of the cold water link. According to the method, working condition self-adaptive anomaly detection, robust root cause positioning and executable operation and maintenance priority ranking of the cold water link are realized, and the operation and maintenance efficiency and reliability of the refrigeration system of the data center are improved.

The invention discloses a multi-modal disambiguation and knowledge graph embedding-based power grid Internet of Things equipment plug and play method and system, and the method comprises the steps: analyzing an ambiguous user instruction through a multi-modal module, and fusing context and sensor data to generate a clear configuration intention; a knowledge graph containing equipment configuration and topological resources is constructed, after the knowledge graph is converted into a vector through embedding, an optimal access scheme and a physical model are matched through machine learning, meanwhile, power grid operation rule verification is conducted on a matching result, and it is ensured that the scheme can be directly executed. According to the method, the problems of inconsistent object model matching, manual configuration migration, weak ambiguous instruction analysis and the like are solved, automatic access of novel switches, photovoltaic equipment and other equipment is realized, and the automation level of the power grid internet of things is improved.

The present invention relates to a connector. The connector comprises: a board end connection portion which is to be mated with a wire end connection portion; the wire end connection portion which is provided with a plurality of mating cavities for mating a plurality of wire harness terminals and a retreat-stop member coupling structure; the plurality of wire harness terminals; and a retreat-stop member which is configured to allow the wire harness terminals to be fixed in the mating cavities of the wire end connection portion when the retreat-stop member coupling structure is in a first coupling state, and to allow the wire harness terminals and the wire end connection portion to be detachable when the retreat-stop member coupling structure is in a second coupling state.

The invention is mainly used in the technical field of photovoltaic power generation. The invention discloses a photovoltaic power generation intelligent insulation detection system which comprises a host and a plurality of subsystems. Each subsystem comprises an extension set, a photovoltaic direct current assembly composed of a plurality of photovoltaic strings, and a detection device; the extension set is respectively connected with each photovoltaic string in the photovoltaic direct current assembly and is used for controlling each photovoltaic string to be in an on state or an off state and sending a detection instruction aiming at a target photovoltaic string to the detection device; the detection device is used for performing insulation resistance detection on the target photovoltaic string when receiving the detection instruction and feeding back a detection result to the corresponding extension set; and the host is in communication connection with each extension set and is used for acquiring the insulation detection results and the operation data of all the photovoltaic group strings in each subsystem and carrying out data analysis. According to the invention, the safety and reliability, the operation and maintenance efficiency and the digital management level of a large-scale photovoltaic system can be improved.

This invention discloses a comprehensive management method and system for base station power consumption, belonging to the field of base station power consumption. The method includes: topological mapping of the access relationships of AC / DC equipment within the base station to form a hierarchical power consumption association list; dynamic clustering parsing of the list to generate a time-series evolution chain reflecting state changes and remote control history; constructing a device differentiation identification model based on the time-series evolution chain, determining abnormal metering factors and outputting candidate correction events; labeling the corresponding areas of the candidate events as local anomalies, and generating a correction reference group by fusing multi-source information such as meter readings and sensor data; dynamically iteratively correcting the global metering results based on the correction reference group, and generating intelligent management instructions by combining the corrected load sharing ratio and branch authorization strategy. The system includes corresponding functional modules. This invention can systematically solve the problems of unclear base station power consumption topology, inaccurate metering, and extensive management, achieving high-precision metering and automated intelligent control.

This utility model discloses an adjustable camera mounting device for avoiding oversized shipping containers, comprising a camera adjustment mounting bushing mechanism and an adjustment bearing mechanism. The camera adjustment mounting bushing mechanism includes a component bushing, a component adjustment beam, and a component camera mounting plate, which are sequentially welded and fixed. The adjustment bearing mechanism includes a steel pipe with threaded holes and a positioning pin fixed on it, connected to the component bushing. This utility model provides an adjustable camera mounting device for avoiding oversized shipping containers, allowing the camera to be pre-installed and connected at the container manufacturing plant while ensuring the container width does not exceed the transportation limit. It also meets the design requirements for effective four-sided monitoring coverage of the container and the stability of the camera installation connection.

The invention discloses a warehouse operation and maintenance management system and method applied to intelligent manufacturing, and relates to the technical field of intelligent warehouse management, and the system comprises a data collection module, a data processing module, an inventory demand calculation module, an operation and maintenance strategy making module and a closed-loop execution optimization module. According to the invention, through the data acquisition module, comprehensive coverage and real-time acquisition of data of a demand end, a material end, an equipment end and a logistics end are realized, the data processing module processes the acquired multi-dimensional original data and eliminates abnormal values and noise, and the inventory demand calculation module uses an inventory threshold core algorithm and an inventory demand priority scoring algorithm to calculate the inventory demand. The inventory threshold and the priority score of each material are calculated, and then the inventory demand thermodynamic diagram is generated, so that the inventory state is more intuitive, the operation and maintenance strategy making module flexibly adjusts the warehousing replenishment rhythm and the material delivery sequence, efficient utilization of resources is realized, and the closed-loop execution optimization module ensures continuous optimization of the management process.

The application discloses a kind of integrated hair concentrator multi-fault diagnosis method and equipment, relating to swimming pool water treatment technical field, wherein the method comprises: real-time acquisition inlet, hair filter section outlet, ultraviolet disinfection section import and outlet negative pressure P1,P2,P3 and P4;Calculate filtration pressure drop ΔP1 and disinfection pressure drop ΔP2;And first judge whether P1 is less than safety threshold to trigger anti-adsorption emergency stop;If not, based on the comparison of ΔP1 and ΔP2 and their respective cleaning reference value, accurately distinguish and diagnose hair filter section blockage or ultraviolet disinfection section internal blockage fault;If both are normal, based on radiation intensity, judge the efficiency of ultraviolet lamp tube.Secondly, the equipment includes corresponding negative pressure sensor, controller and actuator, wherein the ultraviolet disinfection section uses integrated built-in scraping type cleaning component.The application realizes the intelligent identification and directional maintenance of multi-stage fault, improves safety, energy efficiency and maintenance convenience.

The utility model relates to the field of electric power system and high voltage switch equipment discloses vacuum circuit breaker with signal feedback mechanism, including arc extinguishing chamber, the bottom fixedly connected with mechanism box of arc extinguishing chamber, the outside of mechanism box is provided with quick -witted connection mechanism, the top fixedly connected with voltage transformer of quick -witted connection mechanism, the outside fixedly connected with base of mechanism box, the outside of base is provided with quick -witted break mechanism, quick -witted connection mechanism includes support connecting plate, the outside fixedly connected with air cylinder no.

This invention relates to an intelligent fault handling method, a prefabricated substation, a cloud server, and a storage medium. The method includes: performing preliminary fault diagnosis on preprocessed feature data to obtain initial fault diagnosis results; based on the initial fault diagnosis results, performing feature fusion on the feature data using a dual-branch feature fusion model to obtain fused data; performing fault diagnosis based on the fused data and outputting fault diagnosis results; and generating an optimal inspection route based on the fault level and impact range of the fault diagnosis results. The technical solution provided by this invention achieves rapid, intelligent, and accurate fault diagnosis through preliminary and secondary fault diagnosis mechanisms. Compared to manual inspection, it significantly shortens fault screening and repair time, improves fault diagnosis accuracy and maintenance efficiency, and reduces maintenance costs.

The invention discloses a vehicle-ground communication quality prediction method and system based on a large model and intelligent workflow, and the method comprises the steps: S1, receiving an original communication message file uploaded by a user through a data access module, and extracting a structured data signal from the message file through a document analysis module; s2, searching the structured data signal from a database through a code execution module, and generating an effective abnormal event signal; s3, inputting the effective abnormal event signal and a communication quality statistical data signal derived from the structured data signal into a large language model service; s4, integrating the professional analysis text signal and the visual chart signal to a predefined report template through a report rendering module, and generating an analysis report signal; and S5, presenting the analysis report signal to a user through a user interface module. According to the train-ground communication quality prediction method and system based on the large model and the intelligent workflow, the problems that the train-ground communication quality analysis is high in false alarm rate, low in automation degree and lack of deep insight can be solved.

The present application belongs to the technical field of battery equalization device, especially relates to a lead-acid battery equalization device. The present application comprises: a processor module, a measurement battery selection module, a battery parameter storage module, an analog power supply module, a power module, a first charge-discharge circuit module, a second charge-discharge circuit module, and a communication module; the measurement battery selection module, the battery parameter storage module, the analog power supply module, the power module, the first charge-discharge circuit module, the second charge-discharge circuit module, and the communication module are respectively connected with the processor module; the processor module selects the first charge-discharge circuit module or the second charge-discharge circuit module through the measurement battery selection module to realize independent charge-discharge of single batteries; the first charge-discharge circuit module and the second charge-discharge circuit module sample and calculate the battery voltage in real time through the processor module to trigger the equalization operation. The present application is modularized and multi-node collaborative to realize precise charge-discharge control and real-time state monitoring.

The present application relates to the field of artificial intelligence technology and early warning analysis, in particular to an engineering machinery identification and safety risk early warning method based on continuous learning, comprising: collecting optical cable line video, environmental parameters and positioning data for frame synchronization alignment to build an initial identification model; the edge side preliminarily screens suspected targets and uploads to the cloud; the cloud accurately identifies the mechanical category, working state and confidence, combines the positioning data to build multi-modal risk judgment features; based on compliance verification and distance determination to determine the risk level, generate graded early warning and work order; based on operation and maintenance feedback to screen difficult samples, update the model through incremental training and synchronize to the edge side, realize the continuous iteration of the identification model, balance real-time and accuracy, reduce the false positive rate, and improve the automation level of optical cable inspection.

The application relates to the technical field of electric power inspection, and discloses a power transmission network overhead line inspection device, which comprises a mounting frame, a mounting hole is formed in the top of the mounting frame, a control box is fixedly connected to the top of the mounting hole, a first inspection camera is fixedly connected to one end of the mounting frame, a fixed sliding seat is fixedly connected to the top of the control box, a rotating ring is slidably connected to the top of the fixed sliding seat, the rotating ring is of a C-shaped structure, an installation shell is fixedly connected to the top of the fixed sliding seat, a second inspection camera is fixedly connected to the top of the installation shell, a gear slot is formed in one end of the rotating ring, and a plurality of review detection cameras are fixedly connected to the inner side of the rotating ring. The power transmission network overhead line inspection device can review and detect the suspected fault cable again after initial inspection, greatly improves the accuracy and safety of the inspection, shortens the troubleshooting time, and improves the operation and maintenance efficiency of the power system.

The application relates to the technical field of databases and digital medical treatment, and provides a metadata-based database DDL updating method, device, equipment and medium. The method comprises the following steps: generating a metadata dictionary in response to a metadata configuration instruction, the metadata dictionary being used for indicating the corresponding relationship between a source end and each database; generating a routing file of a target database based on the metadata dictionary in response to an updating request for the target database; acquiring the table structure of the target database and the table structure of the source end according to the routing file; comparing the difference between the table structure of the target database and the table structure of the source end; and updating the DDL statement of the target database according to the difference. The method provided by the application can quickly and automatically locate the corresponding database, reduces human intervention, and thus improves the DDL updating efficiency of each database.

The embodiment of the application discloses a device management method and system based on task priority evaluation. The method comprises the following steps: determining a first device and a scheduling scene according to a business label of a task; determining a task priority of the first device according to at least a business parameter and the scheduling scene; the task priority is used for at least resource scheduling and fault handling of the task; predicting a fault occurrence condition when the first device processes the task based on an artificial intelligence (AI) model to obtain fault prediction information; starting a fault handling plan according to the task priority when the fault prediction information indicates that a specified period meets a specified condition; and managing and handling a fault of the first device according to the fault handling plan when the fault occurs.

The utility model discloses a panel assembly and a front fan module, and relates to the technical field of server structures, the panel assembly comprises a body, a locking piece and an unlocking assembly, the body is provided with a mounting groove, and the body is used for being connected with a fan; the locking piece is provided with a clamping part, the clamping part is movably arranged in the mounting groove, and the clamping part is located at the end, close to the groove bottom of the mounting groove, of the locking piece; the unlocking assembly comprises a handle and a button, and the handle is connected with the body; the button is movably arranged on the handle and is in transmission connection with the locking piece; and the button is configured to drive the locking piece to drive the clamping part to retract into the mounting groove when being pressed. According to the technical scheme provided by the utility model, the problems that the connection between a panel of an existing front fan module and a server is too complicated, a worker needs to use an additional tool to fasten or dismantle the panel when installing the panel of the front fan module, the working efficiency is influenced, and the working efficiency is influenced can be solved. And the maintenance and installation difficulty of the equipment is increased.

This utility model discloses a high-temperature automatic testing device for laser components, belonging to the field of electronic technology. Key technical features include a mounting backplate, with the laser body fixedly connected to the top of the backplate. An adjustable support mechanism is movably connected to the rear of the backplate, and an elastic mounting mechanism is movably connected to the front of the adjustable support mechanism. This allows for compact installation of small lasers by using a support plate on the rear of the backplate to support the rotation of the main shaft, and mounting an infrared thermometer on the front. The temperature measurement position and spacing are adjusted by rotating the support plate, adapting to complex and empty spaces. Furthermore, the device employs a rotating connection structure between the mounting box and the bearing block, along with an elastic mounting assembly consisting of a contact rod, telescopic column, compression spring, and I-shaped clamping plate, enabling quick installation and removal of the infrared thermometer. The elastic connection also reduces vibration impact, effectively solving the problems of fixed installation position, non-adjustable spacing, and inconvenient installation and removal in existing devices.

The utility model discloses a kind of fresh air module and air conditioning equipment.New air module includes shell, centrifugal fan wheel and electric control box, shell includes first side plate, and first side plate is equipped with air pipe interface;Centrifugal fan wheel is arranged in shell, the axial direction of centrifugal fan wheel is parallel to first side plate, electric control box and air pipe interface are arranged along the length direction of first side plate with interval, the width direction of electric control box is parallel to the length direction of first side plate, the length direction of electric control box is parallel to the axial direction of centrifugal fan wheel, electric control box includes connected box body and box cover, and part of first side plate constitutes part of box body.The utility model discloses new air module, the box body of electric control box and the second part of first side plate share sheet metal part, cancel independent electric control box shell, not only reduce the quantity of parts, improve structure compactness, also reduce the mold development of electric control box sheet metal part, reduce manufacturing cost.And, the connecting procedure of electric control box and side plate is saved, and assembly and operation and maintenance efficiency are improved.

The utility model relates to the technical field of circuit breaker especially, a pole switch with image monitoring device, including high voltage capacitor electricity -taking power supply, camera device and 10KV high voltage circuit breaker, high voltage capacitor electricity -taking power supply and camera device are integrated in 10KV high voltage circuit breaker, and high voltage capacitor electricity -taking power supply obtains electric energy from high voltage line through 10KV high voltage circuit breaker, and high voltage capacitor electricity -taking power supply converts high voltage alternating current into low voltage direct current, and high voltage capacitor electricity -taking power supply powers camera device, and camera device is used for the monitoring of line, ground environment and forest fire prevention, and 10KV high voltage circuit breaker cuts off the line when detecting the fault. The utility model realizes real -time visual monitoring to high voltage line and its surrounding environment, can stably operate in the remote area without municipal power supply, solves the problem that traditional image acquisition equipment is difficult to deploy due to the lack of reliable power supply.

The invention relates to the technical field of power system relay protection and fault detection, and discloses a power distribution network insulation fault detection positioning method and system based on multi-source transient data, and the method comprises the following steps: S1, synchronously collecting a transient traveling wave signal generated by a fault at a monitoring point of a power distribution network, capturing fault initial traveling wave head data reaching each monitoring point; and S2, carrying out time-frequency analysis on the captured initial traveling wave head data. According to the power distribution network insulation fault detection positioning method and system based on the multi-source transient data, a fault branch is directly identified through a unique mapping relation between a high-frequency attenuation spectrum of a traveling wave head and a power distribution network path topology, a unique positioning result is achieved, false point interference is avoided, and the fault detection positioning accuracy is improved through a dynamic topological image and a branch fingerprint database. The method can automatically adapt to the change of a network operation mode, shows strong robustness and practical value for weak fault signals such as high-resistance grounding and a complex network structure, and remarkably improves the fault positioning reliability and operation and maintenance efficiency of the power distribution network.

The utility model provides a kind of foldable mobile platform for tunnel construction, it is related to tunnel construction equipment technical field, and it includes: mobile vehicle frame, mobile vehicle frame upper is equipped with operation platform;Shear fork assembly is equipped between the operation platform and mobile vehicle frame;The front and rear sides of the top of mobile vehicle frame are equipped with limit frame;The connecting seat is equipped with limit frame upper, and connecting seat is connected with operation platform bottom, by crankshaft and telescopic rod interwork, make sliding block along limit sliding slot up and down sliding, and utilize the rebound of tensile spring, can make operation platform lift more stable, avoid its violent shaking or abrupt feeling, it is convenient for construction personnel accurate operation, improve operation quality, solve the mobile platform for tunnel construction in use when existing, platform lifting process can appear violent shaking or abrupt feeling, especially when aerial work, the problem that the lack of stability can affect construction precision.

The invention discloses a synchronous phase modifier fault diagnosis method based on a knowledge graph and a large language model, and the method comprises the steps: obtaining the operation data of a synchronous phase modifier, and carrying out the preprocessing of the operation data, so as to form a unified corpus and a standardized data set; based on the unified corpus, using a BERT model to encode the corpus to obtain context perception vector representation, and based on the context perception vector representation, performing sequence labeling and relation extraction, and outputting structured knowledge data; based on the structured knowledge data, constructing a synchronous phase modifier fault diagnosis knowledge graph; based on a pre-trained large language model, performing model training and optimization by using the standardized data set, understanding and analyzing a fault phenomenon described by a natural language, and outputting a semantic analysis result; and in combination with the output of the knowledge graph and the semantic analysis result, performing hybrid reasoning to obtain a fault diagnosis result. The method has the advantages of high diagnosis precision, high diagnosis efficiency and the like.

The present invention provides a method, system, and related apparatus for evaluating the energy efficiency of photovoltaic modules in mountainous areas based on spatiotemporal heterogeneous conditions, comprising the following steps: Step 1, calculating the module power generation efficiency coefficient and the string power generation corresponding to a single inverter due to the consistency factor of photovoltaic string module installation; Step 2, obtaining the maximum effective power generation per unit installed capacity and the second-level active power of the string corresponding to the maximum power generation; Step 3, obtaining the actual power generation of the string corresponding to a single inverter for energy efficiency evaluation; Step 4, calculating the theoretical power generation of the string for energy efficiency evaluation; Step 5, calculating the ratio between the actual power generation of the string for energy efficiency evaluation and the theoretical power generation of the string for energy efficiency evaluation, and using it as the module energy efficiency evaluation index; The present invention effectively solves the problems of inconsistent module installation and uneven spatial distribution of irradiance caused by mountainous terrain, and significantly improves the accuracy and reliability of module energy efficiency evaluation.

The application discloses a link detection method and device, an electronic device and an operation and maintenance system. The method comprises the following steps: determining at least two first sub-domains in a network based on the device state of each device in the network, wherein each sub-domain comprises at least one device; issuing a first message to a near-field integrated server, wherein the first message carries the path identification related to each first sub-domain in the at least two first sub-domains; sending a detection packet to a first loop, wherein the first loop is connected based on the first message; and obtaining the monitoring result of the first loop based on the measurement result corresponding to the detection packet reported by the at least two first sub-domains.

The application provides an industrial equipment fault diagnosis model construction method and related equipment, and relates to the technical field of industrial equipment fault diagnosis. The method comprises the following steps: obtaining a physical mechanism model of the industrial equipment; the physical mechanism model comprises a physical constraint equation; constructing a deep learning network; the deep learning network comprises a composite loss function constructed according to the physical constraint equation; collecting full-time series state data of the industrial equipment during operation; the full-time series state data comprises specified time series state data collected when the industrial equipment is in a healthy state; based on the full-time series state data, the deep learning network is trained for parameter optimization to obtain a final available industrial equipment fault diagnosis model. The method of the application aims to solve the problems of weak early fault identification ability, poor interpretability, lack of physical meaning and strong data dependence in the existing industrial equipment fault diagnosis technology, and effectively improves the intelligent level and operation and maintenance efficiency of the industrial equipment fault diagnosis.