215 results about "Iot gateway" patented technology

The invention relates to the technical field of data processing, and discloses an Internet of Things gateway data grading processing method and system based on edge computing, and the method comprises the steps: collecting original operation data and a data traffic value received by an Internet of Things gateway; performing feature extraction and clustering grouping according to the original operation data, calculating an average influence coefficient of samples in a group in combination with a preset service weight, and determining an importance level corresponding to the group; important data is screened out for distribution immediate evaluation; performing aging characteristic analysis according to the important data, and predicting a data processing priority; analyzing resource demand allocation according to the priority sequence and the data flow value, and constructing a resource allocation proportion; according to a resource allocation proportion and an allocation proportion lower limit, identifying nodes with insufficient proportions and optimizing the priority sequence to obtain a final scheduling scheme; according to the final scheduling scheme, the processing sequence is applied to the original operation data, and data grading output is obtained. According to the method, efficient and accurate data processing is realized.

The invention relates to the technical field of Internet of Things gateways, and discloses an Internet of Things gateway device and system based on edge computing, and the device comprises a hardware heterogeneous computing module and a multi-interface protocol adaptation module. The edge calculation local processing module is used for performing preprocessing, feature extraction and local decision on the acquired terminal data; the network redundancy and self-healing module is used for realizing accurate network disconnection detection, seamless switching of a main network and a standby network and equipment fault self-recovery through a multi-dimensional network health degree evaluation algorithm; the local autonomous storage module is used for realizing hierarchical storage of high-frequency data and network disconnection emergency data and seamless synchronization after network recovery through network disconnection data hierarchical caching and an incremental synchronization algorithm; and the cloud collaborative management module is used for realizing remote configuration, OTA upgrading and state monitoring. The method is high in integration, low in delay and fast in response, adapts to real-time scenes, saves bandwidth cost, improves cloud efficiency, is high in reliability, and realizes network disconnection and continuous operation.

The invention discloses an intelligent medical big data information management system, and the system comprises a data collection layer which serves as a sensing neural network, employs an Internet of Things gateway to be compatible with a medical equipment protocol, and deploys an edge calculation node for physiological signal preprocessing; the intelligent preprocessing layer is used for cleaning and standardizing the original data transmitted by the data acquisition layer; the informatization service layer is used for realizing fine-grained authority control based on an RBAC (Role Based Access Control) model, realizing inspection process automation by integrating an LIS (Line Information System) interface through a Hyperdger Fabric block chain evidence storage key operation hash, and constructing a zero-footprint DICOM (Digital Imaging and Communications in Medicine) viewer; the intelligent analysis layer is used for carrying out data life cycle management by adopting a mixed storage architecture, carrying out feature engineering on data, carrying out label matching and classified storage by using efficient neighbor search and similarity / distance measurement, quantifying contribution of each feature or feature combination to a single prediction result through an SHAP value, generating an interpretation result, and outputting the interpretation result; and presenting an interpretation result to a clinician or related personnel through a query interface.

The invention discloses a dual-channel adaptive network stability testing method and system, and belongs to the technical field of computer network testing. The system adopts a dual-channel asynchronous communication architecture in which a control channel and a data channel are physically separated, instructions and state information are transmitted through an independent TCP control channel, and high-speed test data streams are transmitted through a UDP or TCP data channel. The method comprises the following steps: dynamically and adaptively adjusting a timeout parameter based on real-time network delay detection; nanosecond constant interval packet sending control is realized by using a high-precision monotonic clock source and busy waiting compensation mechanism; a packet loss detection, positioning and ACK confirmation mechanism based on the serial number is realized in an application layer; and real-time statistical display and idle detection automatic termination are realized through multi-thread parallel processing. According to the invention, the precision, the stability and the adaptive capability of network testing are remarkably improved, and the method is suitable for long-time stability testing in various scenes such as a high-speed Ethernet, a satellite link, an industrial Internet of Things gateway and the like.

The invention relates to the technical field of Internet of Things data processing, in particular to a multi-modal data real-time processing method for an Internet of Things gateway, and the method comprises the steps: obtaining multi-source operation data, and packaging the multi-source operation data into a standard operation data set; obtaining high-bandwidth modal data in the standard operation data set; when the maximum link delay time is greater than a preset delay abnormal threshold value, obtaining a version effective fingerprint of the target model and a local model fingerprint; when a model version abnormity diagnosis result is obtained, calculating information redundancy; obtaining correction delay time, and comparing the correction delay time with a preset normal reference delay interval; and when the correction delay time is greater than or equal to the upper limit value of the normal reference delay interval, adjusting the current decision period. By monitoring delay in real time, diagnosing consistency of model versions, eliminating redundant information and executing link adjustment, accurate processing of high-bandwidth modal data is realized, and real-time performance and reliability of Internet of Things gateway data processing are improved.

The invention provides an intelligent production line management and control method and system for an automobile brushless motor, and relates to the technical field of motor vehicles, and the method comprises the steps: carrying out the comprehensive defect detection, and obtaining motor defect distribution; process failure mode backtracking is carried out, and P production line devices of P production process nodes are positioned; cross-process parameter coupling analysis is carried out, and M groups of parallel monitoring devices are recombined; m edge detection nodes are configured, the M edge detection nodes are in communication connection with a production line management and control middle table through an Internet of Things gateway protocol, and M multi-modal monitoring tasks are set; after the calibration state is calibrated, the M edge detection nodes dispatch M multi-modal monitoring tasks through dynamic computing power distribution, and dynamic calibration triggering driven by deviation diagnosis is executed. The technical problem that in the prior art, production of motor vehicles such as electric vehicles generally depends on manual inspection and experience judgment to conduct equipment calibration, an automatic real-time monitoring and calibration mechanism is lacked, and therefore the product quality is affected is solved.

The invention relates to the technical field of state monitoring, in particular to a state monitoring method and system based on a power grid intelligent Internet of Things gateway device, and the method comprises the following steps: based on the Internet of Things gateway device, collecting and analyzing multiple types of sensor signals, carrying out the unified arrangement to form a multi-parameter cooperative monitoring sequence, and comparing the changes of current and voltage signals; and extracting a synchronous response ratio feature group, calculating a thermoelectric trend consistency index in combination with the temperature change trend and the current amplitude, screening an interference level section, and judging abnormal linkage. According to the method, cross-parameter trend extraction, collaborative response, difference comparison and section identification are realized, correlation characteristics of multi-source signals in a continuous time period can be converted into identification basis, an abnormal forming process, a response link and state evolution are discriminated by combined characteristics, and abnormal section, sequence attributes and synchronization factors are jointly applied, so that the accuracy of the multi-source signal identification is improved, and the reliability of the multi-source signal identification is improved. And the identifiability and the classification capability of abnormal events under complex working conditions are improved.

The invention discloses a communication method, system and device of Internet of Things equipment and a medium, and the method is applied to an Internet of Things gateway, carries out the communication strategy generation of configuration parameters and historical transmission data records according to an Internet of Things communication mode set, obtains a parallel communication strategy, and carries out the communication strategy generation of the configuration parameters and the historical transmission data records. The parallel communication strategy comprises a plurality of target communication modes; secret key generation is carried out on the parallel communication strategy to obtain a communication secret key group, the communication secret key group comprises a plurality of mode secret keys, and each mode secret key corresponds to one target communication mode; and transmitting the to-be-transmitted data of the Internet of Things equipment to the Internet of Things server side in parallel according to the communication key group and the parallel communication strategy. According to the method, the communication stability and reliability of the Internet of Things equipment can be effectively improved. The invention relates to the technical field of Internet of Things.

The invention provides an access method and device of Internet of Things equipment and an Internet of Things system, and relates to the technical field of Internet of Things. The method is applied to an Internet of Things gateway, and comprises the following steps: obtaining configuration data of an Internet of Things device to be accessed according to unique identification information of the Internet of Things device to be accessed; assembling function points of the object model according to the configuration data in combination with an equipment function model library so as to obtain a target object model of the to-be-accessed Internet of Things equipment; and sending the target object model to the terminal, so that the terminal controls the to-be-accessed Internet of Things device based on the target object model. According to the method and the device, the equipment function model library for unifying the abstract equipment capability is constructed, and the function point assembly of the unique identification information object model of the to-be-accessed Internet of Things equipment is combined, so that dynamic configuration is realized. The problems of low reusability, poor compatibility and high maintenance difficulty in a traditional equipment access mode can be effectively solved, the access period is greatly shortened, and the equipment access development workload and the maintenance cost are reduced.

The invention provides an oil depot state low-cost monitoring method and system based on the Internet of Things, and relates to the technical field of oil depot detection, and the method comprises the steps: deploying a sensor group at the position of an oil depot storage tank, and collecting original monitoring data; preprocessing the collected original monitoring data, and then uploading the data to a cloud server through an Internet of Things gateway; based on the received data, the cloud server performs inversion calculation on the real-time liquid level height of the storage tank through an intelligent algorithm, and performs calibration calculation on the volume of the special-shaped storage tank; state fusion analysis and abnormity diagnosis are carried out based on the real-time liquid level height, the volume data and the multi-source environment data; and triggering graded early warning according to a preset rule based on results of analysis and abnormality diagnosis. According to the method provided by the invention, hardware deployment cost is revolutionarily reduced, and all-around efficiency leap from manual regular inspection to unmanned real-time monitoring, from single parameter measurement to multi-source fusion diagnosis, and from passive reading to active early warning is realized.

The invention relates to the technical field of internet of things valve wireless monitoring, and particularly discloses an internet of things-based valve wireless monitoring and early warning system, which comprises a signal acquisition module for acquiring a valve position simulation position signal of a valve in real time through a position sensor; the wireless communication module is used for performing analog-to-digital conversion on the valve position analog position signal and transmitting a valve position digital signal generated after analog-to-digital conversion through a first wireless communication network and a second wireless communication network; the monitoring module is used for sequentially selecting each monitoring point position in the signal acquisition module and sending a monitoring command data packet to the wireless control terminal corresponding to each monitoring point position through the Internet of Things gateway; the control module is used for receiving a valve position control instruction fed back by the monitoring command data packet of each monitoring point position and generating early warning information; and the execution module is used for driving a valve to execute valve action operation according to the valve position control instruction.

Disclosed is a system for providing dynamic spectrum access, the system comprising: one or more sensor nodes configured to collect environmental data; a plurality of Internet of things (IoT) gateways arranged in data or signal communication with the one or more sensor nodes via a network protocol, each IoT gateway comprising at least one spectrum channel; a distributed ledger configured for secure data processing between each of the plurality of IoT gateways and the one or more sensor nodes; and a dynamic spectrum access module arranged in data or signal communication with the plurality of IoT gateways, the dynamic spectrum access module configured to implement a deep learning algorithm, the deep learning algorithm configured to obtain the environmental data as input, parse the environmental data to obtain spectrum environment parameters, predict one or more use states of the at least one spectrum channel of each of the plurality of IoT gateways; and provide a spectrum access action based on the predicted one or more use states.

The embodiment of the invention discloses an Internet of Things multi-protocol adaptive access method and device and a medium, belongs to the technical field of Internet of Things communication, and solves the problems that an Internet of Things gateway protocol is insufficient in compatibility and insufficient in safety controllability in an industrial-grade high-reliability scene and a cross-platform collaborative scene. Comprising the following steps: loading a preset protocol plug-in, and carrying out initialization processing on a communication engine and a configuration management center so as to monitor a default port corresponding to each protocol; based on a feature code matching and AI protocol identification combined strategy, performing corresponding protocol matching identification on the monitored equipment connection request; verifying the current equipment based on preset authentication information, and establishing an encrypted data transmission channel under the condition that the verification is passed; receiving an original message sent by the equipment, and converting the original message into a uniform data format; and encrypting the data in the uniform format through the encrypted data transmission channel, calling the matched and identified protocol, and reporting the encrypted data to the Internet of Things platform through the communication engine.

The invention discloses an Internet of Things gateway control method fusing local communication and AI computing power, and the method comprises the following steps: S1, constructing a multi-protocol adaptation layer for an Internet of Things gateway, recognizing the communication protocol type of access equipment, and building a unified data channel; relates to the technical field of Internet of Things gateway control, and provides an Internet of Things gateway multi-protocol adaptation layer based computing power resource distribution method, device and system, and the Internet of Things gateway multi-protocol adaptation layer based computing power resource distribution method and system improve device access compatibility by constructing a multi-protocol adaptation layer for an Internet of Things gateway, and generate computing power resource quantity distributed to an access device by obtaining the total residual computing power resource quantity of the Internet of Things gateway and based on QoS metadata of the access device. According to the invention, refined computing power resource allocation according to the task characteristics of the access device is realized, and the AI computing power unit is scheduled by creating the AI computing power unit, according to the QoS metadata of the access device and the computing power resource allocation strategy of the access device and through the container technology, so that the gateway of the Internet of Things can cope with different types of AI computing tasks, and the AI computing power unit scheduling efficiency is improved. And diversified processing requirements of the access equipment are met.

The application relates to the technical field of intelligent exhibition hall temperature control, and discloses an intelligent exhibition hall temperature central control system based on the Internet of Things, which comprises a data acquisition module, a feature extraction module, a trend prediction module and an optimization control module. The data acquisition module collects real-time temperature data through an Internet of Things temperature sensor node and generates temperature field data with time and space labels through time and space registration. The feature extraction module performs empirical mode decomposition on the temperature field data, extracts intrinsic mode function components and calculates temperature fluctuation feature vectors. The trend prediction module inputs the temperature fluctuation feature vectors into a long short-term memory network model to predict a predicted temperature sequence in a future preset time period. According to the difference between the predicted temperature sequence and a preset comfortable temperature threshold, the optimization control module adopts a multi-objective particle swarm optimization algorithm to iteratively optimize the valve opening degree of air conditioner terminal equipment, thereby generating a valve opening degree control instruction set. The instruction issuing module issues the valve opening degree control instruction set to corresponding actuators through an Internet of Things gateway.

The invention relates to the technical field of photovoltaic module string DC output current real-time monitoring and fault diagnosis, in particular to a photovoltaic string DC output real-time monitoring method and system and a computer readable storage medium. The method comprises the following steps: firstly, installing a group string level current monitoring unit at a direct current input port of a photovoltaic inverter, collecting direct current output current of a photovoltaic panel group string in real time through the monitoring unit, and then uploading collected group string current data to a monitoring platform through an Internet of Things gateway; and performing transverse comparative analysis on the group string current data based on the monitoring platform, identifying a complete disconnection or performance degradation fault, and when detecting that the group string current is abnormal, generating alarm information including a specific photovoltaic panel number and a physical position according to a preset group string topology database. According to the invention, the real-time and continuous monitoring of the DC output current of the photovoltaic panel group string and the accurate positioning of the panel level fault are realized, the fault response speed and the operation and maintenance efficiency are obviously improved, and the power generation loss and the operation and maintenance cost are reduced.

This invention discloses a multi-level collaborative SAW exhaled breath detection system and method based on a large language model, belonging to the field of SAW detection technology. The system includes a precision RF excitation control layer, an IoT gateway layer, and a cloud-based AI analysis layer. Data interaction between the three layers is achieved through a heterogeneous communication protocol stack. The precision RF excitation control layer includes a microcontroller, a DDS frequency synthesizer, and an SAW resonator; the microcontroller has a built-in pre-verification module. The IoT gateway layer includes a dual-core processor, a wireless communication module, and an I / O interface. 2 The system features an S-channel audio interface and a dual-core processor with a heterogeneous architecture. The cloud-based AI analysis layer includes speech recognition services, large language model inference services, a utility function definition library submodule, and a command string generation submodule. The system has an end-to-end device-level mapping channel from user speech to the DDS frequency synthesizer's frequency tuning word register. This invention lowers the operational threshold for precision SAW inspection and adapts to on-site inspection scenarios.

The application provides an Internet of Things gateway data processing method and related device, a traffic identification framework is acquired and a device set to be processed is determined; each decision unit in the traffic identification framework is walked through from a starting identification unit of the traffic identification framework, a traffic detection network corresponding to the walked decision unit is acquired, and a device set corresponding to the walked decision unit in the device set to be processed is determined; based on the traffic detection network corresponding to the walked decision unit and a traffic identification feature vector in the traffic detection network corresponding to the walked decision unit, the device set corresponding to the walked decision unit is identified, a device set corresponding to each sub-decision unit connected to the walked decision unit is determined, and each terminal identification unit in the traffic identification framework is obtained until each terminal identification unit in the traffic identification framework corresponds to a device set respectively. The application can improve the accuracy of device identification.

The present application relates to a LoRa gateway multi-mode adaptive switching and broken link continuation method based on a Mesh network, and belongs to the technical field of LoRa Internet of Things gateway data transmission, comprising the following steps: when it is detected that any wide area backhaul link or Mesh forwarding path between gateways is restored, a bitmap or a missing data list is confirmed, and breakpoint continuation is performed; for repeated data caused by multi-gateway repeated reception, Mesh forwarding repeated reporting between gateways, repeated transmission or retransmission after link recovery, unique data indexes are used for filtering, and the weight parameters in the comprehensive score are dynamically corrected. Compared with the existing LoRa gateway which only switches according to signal strength, online state or a single time delay threshold, the present application introduces LoRa access side link state, wide area backhaul link state, Mesh link state between gateways, business priority, power consumption state and buffer state for comprehensive decision-making, so that the probability of false switching and frequent switching can be reduced, and the link adaptation capability in a complex field environment can be improved.

1. The name of the design product: the shell of industrial internet of things communication equipment. 2. The use of the design product: the shell of industrial internet of things communication equipment, especially suitable for the shell of industrial equipment such as internet of things gateway and intelligent communication gateway. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best indicates the design points: perspective view.

This utility model discloses an IoT gateway, comprising a gateway housing, a slider fixedly connected to the upper surface of the gateway housing, a cover slidably connected to the outer surface of the slider, a rotating shaft fixedly connected to the inner surface of the cover, a torsion spring provided on the outer surface of the rotating shaft, a baffle rotatably connected to the outer surface of the rotating shaft, a snap-fit ​​seat fixedly connected to the rear surface of the cover, and a gateway interface provided on the front surface of the gateway housing. By incorporating the rotating shaft, torsion spring, and baffle, the unused gateway interface can be shielded, thereby reducing the possibility of dust particles entering the gateway interface and effectively preventing problems such as interface oxidation and short circuits caused by dust accumulation. Furthermore, the slider, snap-fit ​​seat, and limiting components allow for quick and easy manual disassembly of the cover without the need for screwdrivers or other tools, effectively solving the problem of low maintenance efficiency caused by traditional screw fixing methods.

Real-time transmission of IoT telemetry data to a third-party and use of such data by the third-party for purposes of determining IoT device-related recommendations specific to the IoT device user. Machine learning models receive the IoT telemetry data, as a least a part of the inputs, to determine recommendations that are tied to the IoT device and specific to the IoT device user. Non Fungible Tokens (NFTs) are minted by the IoT device manufacturer / distributor and hold a link to an IoT device identifier and an IoT device user identifier and include a smart contract formed between the third-party and the IoT device user that defines the criteria for the telemetry data that is to be acquired by the third-party. Use of the NFT allows for IoT gateways / data listeners to determine which IoT telemetry data is to be transmitted to the third-party and allows for the transmission to occur without identifying the IoT user in the transmissions.

1. The name of the design product: Internet of Things gateway. 2. The use of the design product: The design product is used to realize wireless communication and protocol conversion between different devices. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention relates to the technical field of Internet of Things, and discloses an Internet of Things gateway hierarchical mapping management method, which comprises the following steps: step 1, obtaining a physical port of a gateway and an identifier of a master device, abstracting the physical port of the gateway into at least one logic port, the sub-equipment is in communication connection with the logic port; step 2, setting an ITP identifier, constructing a mapping relation between a logic port and the ITP identifier to obtain a logicPortMap mapping table, and constructing a mapping relation between the ITP identifier and the identifier of the master device to obtain an enMap mapping table; 3, the configuration of the logicPortMap mapping table and the configuration of the enMap mapping table are modified, and management between the sub-devices and the main device is achieved. According to the method, the accurate management between the main equipment and the sub-equipment by the gateway of the internet of things can be realized. Meanwhile, the invention also discloses an Internet of Things gateway layered mapping management system.

The present application relates to the technical field of Internet of Things, and particularly relates to an intelligent clinical nursing management and control method and system based on Internet of Things, which comprises the following steps: collecting multi-source data in a clinical nursing environment, and completing timestamp alignment and data encapsulation through an Internet of Things gateway to form multi-source data; after data cleaning, HL7 FHIR format unification and mapping based on an OMOP model, standard nursing data is generated; based on the standard nursing data, a pre-trained LSTM-Autoencoder-based time series anomaly detection model is used to identify collaborative anomaly patterns, and a risk assessment module combining a logistic regression classifier and a gradient boosting decision tree is used to generate a risk level and an occurrence probability; the system generates nursing early warning information and automatically generates nursing management and control instructions according to early warning rule templates, and sends the instructions to nursing equipment or nursing staff terminals through an MQTT network. The present application realizes intelligent clinical nursing management and control, and significantly improves the timeliness, accuracy and intelligent level of clinical nursing.

This invention provides a multi-protocol smart IoT gateway device, solving the problems of traditional gateways such as limited functionality and protocol support. It utilizes a MIPS 1004Kc dual-core chip for computing and integrates WiFi 6E, LoRa, and 5G modules to achieve multi-protocol convergence. The software is based on OpenWRT, featuring intelligent adaptive protocol stack dynamic parameter adjustment, encryption and authentication for security, and intelligent channel and power adjustment to optimize communication and energy consumption. It is suitable for smart cities, industrial IoT, and smart homes, providing a stable and reliable communication solution.

The invention discloses an intelligent operation and maintenance management method for a power conversion cabinet based on the Internet of Things, and relates to the technical field of the Internet of Things and a distributed system.The method comprises the steps that in the peak period such as the morning peak of a commercial district, multiple riders initiate power conversion requests at the same time, a system receives the requests through an Internet of Things gateway and generates a global unique identifier; each request is traceable and is prevented from being repeated; the requests are submitted to a consensus group formed by an edge node and a battery changing cabinet controller, and global monotonic serial numbers are distributed based on a sequence consistency protocol, so that ordered processing of the requests is realized, and distribution conflicts under network delay are avoided; the atomic occupancy mechanism is combined with token lease, battery resources are exclusively locked on the target battery replacement cabinet, and operation is completed only when a physical confirmation event such as a cabinet door state signal or battery handshake is matched with a token number, so that false occupancy and a deadlock state are prevented.

The invention relates to a MODBUS wireless 4G Internet of Things gateway and an operation method, and relates to the technical field of Internet of Things, and the Internet of Things gateway comprises a bottom cover, a circuit board is installed in the bottom cover, a top cover is inserted into the top of the bottom cover, a cooling fan is installed in the bottom cover, a partition plate is installed on the top of the circuit board, and the partition plate is inserted into the top of the bottom cover. The cooling fan is arranged between the partition plate and the inner wall of the bottom cover, an air duct is further installed in the bottom cover, and heat conduction assemblies are installed in the bottom cover and the top cover. The heat dissipation fins I and the heat conduction plate I are mounted in the bottom cover to conduct heat, the partition plate is mounted at the top of the circuit board to divide the internal area into two parts, and the heat dissipation fan and the air duct drive internal air to circularly move, so that the heat conduction plate I and the heat conduction plate II are matched to discharge heat, and the heat dissipation efficiency is improved. Therefore, the heat dissipation effect is improved while the sealing performance of the gateway is not damaged, and the heat dissipation influence caused by dust, impurities and the like is reduced.

The application discloses an intelligent Internet of Things gateway system supporting edge computing deployment functions, and relates to the technical field of Internet of Things application.The gateway has wide adaptability, can be applied to various application scenarios such as intelligent factories, smart homes and smart agriculture, realizes end-to-end capability from a sensing device to an application, guarantees data independence and security, can flexibly deploy functions in gateways of different levels according to requirements, provides edge computing capability, supports unified access of heterogeneous devices, provides various deployment modes, and is high in flexibility, dynamically establishes a route between data and an application, realizes flexible integration of data transmission and processing, and realizes loose coupling between Internet of Things applications and between Internet of Things applications and the gateway.

The invention discloses a logistics forklift intelligent maintenance method and system based on the Internet of Things, and relates to the technical field of intelligent maintenance. According to the method, hydraulic working condition data of a forklift are collected in real time through sensors arranged at all positions of a hydraulic system, a power loop and a hoisting mechanism, data processing is conducted through a vehicle-mounted IoT gateway, and the data are stored in a database; the method comprises the following steps of: acquiring a hydraulic energy efficiency index Lcx, encrypting and transmitting the hydraulic energy efficiency index Lcx to a cloud maintenance platform through MQTT in a second-level period, performing structured storage and integrity verification by using a time sequence database, performing pressure attenuation rate, hydraulic energy efficiency and energy efficiency degradation analysis, constructing a comprehensive steady-state offset index Lcx to perform state stability evaluation, automatically generating maintenance information of different priorities, and performing maintenance management on the hydraulic energy efficiency index Lcx. Triggering maintenance work order scheduling and emergency disposal; after maintenance is completed, a maintenance log is generated and stored in the knowledge base. According to the method, closed-loop management of the hydraulic system from real-time monitoring, anomaly recognition and comprehensive evaluation to maintenance execution and knowledge accumulation is achieved, and the safety, maintenance efficiency and reliability of the forklift hydraulic system are improved.