69results about How to "Accurate running status" patented technology

The invention provides a smart grid malicious data injection attack and detection method, belongs to the field of smart grid data information safety, and aims at solving an existing technology has the defects if smart grid measurement data are subjected to malicious data injection attack by hackers. The method comprises the following steps: firstly converting the malicious data injection attack in an alternating current model into the malicious data injection attack in a direct current model by attacking few phasor measurement units (PMUs) in a grid so as to construct a new smart grid malicious data injection attack manner; and aiming at the new attack manner, providing two detection operators based on forecast measurement and estimation measurement residual for detecting, positioning and judging malicious injection data possibly existing in power system measurement information, and performing relative update data process to ensure that the smart grid runs relatively stably, safely and reliably. The smart grid malicious data injection attack and detection method can be achieved after the original grid architecture is subjected to relatively slight technological transformation and upgrade, so that the practical economic value and the operability are achieved.

The invention relates to a method for comprehensively estimating the insulation state of sulfur hexafluoride electrical equipment and belongs to the technical field of monitoring and estimation on the insulation state of the sulfur hexafluoride electrical equipment. In the method, a computer and a comprehensively estimating device of the sulfur hexafluoride electrical equipment with the application number of 201020240900.0 are utilized, a fuzzy theory and a neural network method are applied by utilizing a program, and then the method carries out comprehensive estimation to the insulation state of the SF6 electrical equipment by adopting the working mode of an Windows interface. The method can be used for carrying out monitoring, intelligent analysis and comprehensive estimation to the running indexes comprising brackish water, mainly discharged decomposition products (HF, CO, SO2 and H2S) and the concentrations thereof and the like in SF6 gas of the SF6 electrical equipment, and has the characteristics of simple operation, high efficiency, flexible and convenient use, convenient on-site rapid diction and estimation and the like. The method can be widely applied to rapidly detecting and estimating the insulation state of the SF6 electrical equipment in power stations and transformer substations.

The invention relates to an operating state assessment method of a capacitor voltage transformer. Data collection of an operating state of the capacitor voltage transformer is performed; collected data are classified and processed and taken as bases for assessing the operating state of the capacitor voltage transformer; the operating state of the capacitor voltage transformer is assessed, and a comprehensive state quantity assessment system of the capacitor voltage transformer is built with an correlation analysis method; the operating state of the capacitor voltage transformer is graded with a single state quantity score calculation method and a capacitor voltage transformer overall score calculation method; constant weight coefficients of each single state quantity and each comprehensive state quantity are provided; and variable weight coefficients of all comprehensive state quantities are calculated; the overall score of the capacitor voltage transformer is calculated according to scores and the variable weight coefficients of all comprehensive state quantities; and then the operating state of the capacitor voltage transformer is judged according to the overall score situation of the capacitor voltage transformer.

The invention relates to the technical field of power grid data security, and is a method of detecting the power grid false data injection attack based on the nonlinear measurement equation. The method comprises the steps that in the first step, power grid data are obtained; in the second step, correlation analyses are performed on the states and measuration of the system; in the third step, innovation vectors are computed; in the fourth step, the detection and location of the false data are conducted; in the fifth step, the updates on the false data are carried out; in the sixth step, the estimations of the states are carried out. According to the method of detecting the power grid false data injection attack based on the nonlinear measurement equation, through the analyses of the correlation between states and measuration of the power grid system, the false data injection attacks which cannot be detected by traditional methods based on the measurement residuals are effectively detected, and the detection accuracy is improved; different from the multiple iterative detections in the traditional methods, the method can detect all the attacked measuration at one time, effectively saves on the computation time, and is suitable for the online applications of power grid; the method can locate specific malicious injection data and utilizes the measured predicted values to update the measuration containing fake data, and ensures that the state estimations can be rerun to obtain the system accurate running status.

A diesel engine fuel oil system fault diagnosis method based on a least square support vector machine comprises the steps of: collecting vibration acceleration signals of a diesel engine under conditions of normal work and various kinds of faults; utilizing an inherent time scale decomposition algorithm to decompose the vibration acceleration signals, and generating a plurality of rotation components and residual error signals; calculating typical frequency domain characteristics of first N-order rotation components, and using the typical frequency domain characteristics as fault characteristics; dividing training samples and test samples; utilizing a hybrid algorithm of a difference evolution algorithm and a particle swarm algorithm to optimize a punishment factor and a kernel function parameter of the least square support vector machine, and obtaining an optimal punishment factor and an optimal kernel function parameter; and utilizing the obtained optimal punishment factor and optimal kernel function parameter to train the least square support vector machine for carrying out fault diagnosis. By adopting the method provided by the invention, the operation state of the fault diagnosis can be rapidly and accurately judged, and the method is applicable to online diagnosis of the diesel engine.

The invention discloses an intelligent identification method for the operation condition of a sucker rod type oil pumping unit. The intelligent identification method comprises the steps that firstly, on-well indicator diagrams are collected and converted into underground indicator diagrams; qualitative analysis and quantitative calculation are conducted on the underground indicator diagrams, so that the feature values of the indicator diagrams of various working conditions are obtained; finally, the working state of the sucker rod type oil pumping unit is analyzed through the feature values of the indicator diagrams of various working conditions. By the adoption of the intelligent identification method for the operation condition of the sucker rod type oil pumping unit, the operation state of a current system can be accurately and rapidly judged when the operation condition of the sucker rod type oil pumping unit is identified in real time, the actual operation condition is provided, implementation is easy, operation is stable, the purpose that the working condition of the sucker rod type oil pumping unit is automatically identified, and the operation state of the system is adjusted in real time can be achieved easily , the overall efficiency is improved, and manpower and material resources are saved greatly.

The invention provides a substation inspection robot system and inspection method. The system involves a moving mechanism, an information acquisition mechanism and a control mechanism; the informationacquisition mechanism comprises a lifting support located on a moving platform, and a secondary equipment information acquisition device arranged at the top of the lifting support; the control mechanism comprises a controller, a two-dimensional laser radar and a tracking sensor which are arranged on the moving platform; and after the controller receives a signal output by the two-dimensional laser radar, a SLAM navigation algorithm is firstly adopted to generate a scene map and synchronous positioning is carried out, then the inspection path planning is carried out to control the inspection robot to sequentially move to the positions in which each secondary equipment is located, then the pose of the inspection robot is adjusted according to a signal output by the tracking sensor, and thesecondary equipment information acquisition device is controlled to work after the inspection robot reaches preset mark position. According to the substation inspection robot system and inspection method, the inspection robot can freely shuttle in narrow paths, and the operation state and information acquisition of each secondary equipment can be completed automatically.

The invention provides an online monitoring method and device of a lightning arrester based on internet of thing communication. The online detection device takes a CPU module as a core, and the CPU module is respectively connected with a sampling module, an ambient temperature detecting module, a power supply module, a liquid crystal display module and a communication module. The online monitoringmethod comprises the following steps: measuring lightning arrester total leakage current; acquiring busbar voltage; performing discrete digitization, Fourier transform and operation on the acquired lightning arrester total leakage current and busbar voltage, obtaining total resistive current in the real-time total leakage current, a resistive current fundamental value and each harmonic value andjudging the failure, the contamination, the dampness or the aging of the lightning arrester in vertical comparison with previous values. The online monitoring method and device provided by the invention have the beneficial effects that the faulty lightning arrester can be discovered and eliminated early, the occurrence of explosion accidents is avoided, the data remote transmission can be performed on the lightning arrester leakage current, a reactive lightning arrester resistive current component and the number of actions, the complexities of manual recording and meter reading are eliminated,and the working efficiency of operation and maintenance personnel is greatly improved.

The invention discloses a multi-period energy flow calculation method for electro-gas interconnection system considering multi-balance machine of power system and slow dynamic characteristics of natural gas system. The method mainly comprises the following steps: 1) establishing a power system power flow model considering a multi-balance machine.2)solving the flow distribution of the power systemby means of Newton method.3)building a natural gas system transient energy flow model.4)solving the energy flow distribution of the natural gas system by means of Newton method.5)judging whether thetotal simulation time Tmax is reached, if the total simulation time is not reached, taking the energy flow calculation result of the natural gas system as the initial value of the next moment energy flow , repeating the steps 2) to 4), and if the total simulation time is reached, putting an end to calculation and outputting the power flow distribution of the power system and the energy flow distribution result of the natural gas system. The multi-period energy flow calculation method for electro-gas interconnection system considering multi-balance machine of power system and slow dynamic characteristics of natural gas system simultaneously considers the multi-balance machine of the power system and slow dynamic characteristics of the natural gas system in the energy flow calculation of theelectro-gas interconnection system, and can obtain a more accurate system operation state.

The invention relates to a running status evaluation method and system of a microgrid group, relating to the field of power system running status evaluation. The method comprises the following steps of: acquiring a voltage value of an AC bus in the microgrid group, matching the voltage value with a predetermined voltage value in a power quality section, and determining the power quality of the microgrid group; acquiring a value of a predetermined parameter of each sub microgrid in the microgrid group, acquiring a value of a verification index of each sub microgrid according to the value of the predetermined parameter, acquiring a value of a verification index of the microgrid group according to the value of the verification index of each sub microgrid, and determining regulation capability of the microgrid group according to a predetermined regulation capability rule and the value of the verification index of the microgrid group; and matching according to the power quality of the microgrid group, the regulation capability of the microgrid group, a connection status between a power distribution grid and the AC bus and a predetermined running statue rule, and determining the running status of the microgrid group. By the above method, the running status of the microgrid group can be accurately evaluated, and the reliability of coordination control of the microgrid group is improved.

The invention discloses a breaker state detection method based on waveform characteristics identification. The method comprises the following steps: collecting the breaker opening and closing current signal of the breaker in the normal working condition; decomposing it into a number of function components in intrinsic mode; adding the first three-order function components in intrinsic mode to form a de-noising signal and expressing it in the Cartesian coordinate system; selecting characteristic points with equal intervals on the current waveform; connecting the origin of the coordinate and the characteristic points to form a set of waveform characteristic vectors; using the same steps to calculate the actual current signal of the breaker to obtain a set of waveform characteristic vectors; defining the similarity and comparing the two sets of characteristics vectors; and based on the similarity of the two sets of vectors, determining the state of the breaker. The detection method of the invention is capable of achieving high effective and accurate diagnosis over the breaker fault, can effectively remove the noise interference in the current signal, eliminate the influence of incorrect extraction of waveform characteristics on the determination result, and improve the accuracy and efficiency of calculation.

The invention discloses an information processing method and a kind of electronic equipment. The information processing method comprises that at least one operational state parameter of an application program in the electronic equipment at a current moment is acquired; based on the at least one operational state parameter, a first image corresponding to the at least one operational state parameter is generated; and the first image is displayed on a display interface of the electronic equipment as a display icon of the application program. The method provided by the invention solves the technical problem in the prior art that application program icons have sole design and cannot satisfy users' demands. The method realizes the diversified design of the application program icons and the technical effect of better satisfying the users' demands.

An apparatus for monitoring rod rotation in a rod lift system. The apparatus comprises one or more sensors that reside on the rod string of the rod lift system. The sensor is configured via a processor to generate a signal indicative of radial position of the sensor relative to an external frame of reference. The signal may be sent to a wireless I / O module, with the signals being indicative of at least partial rotation or, alternatively, a lack of rotation, of the rod-string. The processor is configured to generate an alarm if an absence of rod rotation is detected while the rod lift system is running and transmit this signal to the nearby wireless I / O module. A method for monitoring a reciprocating rod lift system is also provided.

The invention discloses a monitoring system and monitoring method for circuit breaker state. The circuit breaker state monitoring system and monitoring method based on the divide-shut brake coil current are characterized in that the system comprises a current sensor, a signal conditioning module, a signal extracting module and a signal analyzing displaying terminal; a current signal of the circuit breaker divide-shut brake coil is detected by utilizing the current sensor, with respect to obtained circuit signals of a normal working condition circuit breaker and a monitored circuit breaker, circuit vector set similarity is calculated, and a monitoring result is thus judged. According to the monitoring system and monitoring method for the circuit breaker state, by conducting identification on a mechanical state of the circuit breaker, a potential failure can be found in time when the circuit breaker switches and closes, and reliability and safety of operation of the circuit breaker and an electric power system can be improved.

The invention discloses a calculation method and a system of serially or parallelly connected cascade pump station water supply system operation efficiency. The method comprises the steps of conducting the time-space disintegration of a serially or parallelly connected cascade pump station, in the spatial dimensions dividing the parallel system into several serial systems, separating the serial systems into pump station subsystems and water supply subsystems, in the time dimension, dividing a dispatch process into several balanced time periods, wherein the pump station water level, flow and other parameters are constant in each balance time period, calculating factors influencing the serially or parallelly connected cascade pump station water supply system, establishing a pump station subsystem operation efficiency expression formula, based on whether or not the inter-stage water force is counted, water flow loss and whether there are water divisions, establishing the operation efficiency expression formula of the water supply subsystem under three working conditions, then establishing the calculation model of the serially or parallelly connected cascade pump station water supply system operation efficiency under three different working conditions. The method solves the complexities and dynamics existent in the dispatch operation of the serially or parallelly connected cascade pump station, and the difficulty of quantitative calculation of the operation efficiency.

The invention relates to an on-line fault monitoring method and device for a drop-out fuse, and belongs to the field of emergency protection devices. According to the invention, a fuse tube of the fuse is provided with a mercury switch, and the fuse tube of the fuse is provided with a magnetic induction coil in a sleeved manner; logical comparison is performed on an output signal of the mercury switch and an output signal of the magnetic induction coil; and the position of the fuse tube of the fuse and whether there is current flowing through a fuse wire of the fuse tube or not are simultaneously detected so as to serve as a logical judgment basis for whether the drop-out fuse has a fault or not, thereby being capable of reflecting the actual operating state of the drop-out fuse more authentically and more accurately, fundamentally avoiding the possibility of a missed alarm and a false alarm, and providing more reliable help to the normal operation of the whole power grid system and rapid judgment of fault points. The on-line fault monitoring method and device can be widely applied to the fields of on-line fault monitoring and operation management for various drop-out fuses.

The invention discloses a method for quantitatively detecting the content of corrosive sulfur in mineral insulating oil. The method comprises the following steps: (1), preparing an inductive coupling plasma emission spectrometer, a conical flask, an entrusted mineral insulating oil sample, silver powder, filter paper, and kerosene; (2), pouring a sample in the conical flask, adding the silver powder for mixing and reacting to obtain a silver sulfide mixed solution; (3), filtering, and testing the content of the sulfur by the emission spectrum; and (4), subtracting the content of the sulphur of the sample from the content of the sulphur in a mixed solution, so that an obtained difference is the content of the corrosive sulfur in the entrusted mineral insulating oil sample. According to the method, the silver powder is mixed with sulfide in the mineral insulating oil, the content of the sulphur before and after mixing is tested so that the content of the corrosive sulphur in the oil can be obtained, so that the operation state of electric equipment such as a transformer and an electric reactor can be accurately evaluated, and the safe and stable operation of the electric equipment is ensured.

The invention relates to a big data platform running state monitoring method and system. The method comprises the steps that all task stages of a computational task of a big data platform are determined; task execution conditions of the computational task in all the task stages are obtained through monitoring nodes deployed on the big data platform in advance, wherein the monitoring nodes and nodes where all the task stages of the computational task of the big data platform are located are correspondingly deployed; according to the task execution conditions of the computational task in all thetask stages, the running state of the big data platform is monitored. In this way, the task execution conditions of the computational task of the big data platform in all the task stages are obtainedthrough the monitoring nodes deployed in advance, the running state of the big data platform is monitored according to the task execution conditions, the problem that in the traditional technology, by monitoring a service component of the big data platform, the accuracy is low is solved, the running state of the big data platform is accurately monitored, and the running efficiency of the big dataplatform is guaranteed.

The invention discloses an airport all-electric drive fire fighting truck power lithium battery thermal disaster early warning system and method. The system comprises a power lithium battery, a monitoring system, an alarm system and a man-machine interaction system. The monitoring system is used for detecting a state of the power lithium battery and transmitting monitored data to a data acquisition system, the man-machine interaction system displays the data, and if a dangerous situation exists, people in the vehicle are informed through the alarm system. A voltage sensor, a temperature sensor, a strain pressure sensor, a combustible gas detector and a smoke detector are arranged in the power lithium battery. The power lithium battery of the system is monitored, data is transmitted to thedata acquisition system, and if preset conditions are met, the alarm system gives an alarm. The system and the method have advantages that accurate running states of a single lithium battery and the interior of a battery pack are provided in real time, and continuous, stable and safe running of the vehicle-mounted power lithium battery is guaranteed.

The invention relates to a server room temperature field detection method and a system, and the method comprises the steps: a temperature field detection step: detecting and collecting the temperatures of the cold side and the hot side of each server cabinet in a machine room, and generating a temperature field diagram of the whole machine room according to the temperatures; a calculation step: introducing the temperature field diagram obtained in the temperature field detection step into a server room temperature field model database for calculation; and a judgment step of judging the runningstate of the server in each cabinet in the machine room according to the calculation result of the calculation step. According to the method, temperatures of a plurality of positions of hot sides andcold sides of all server cabinets in a machine room from top to bottom are collected; a temperature field diagram of the whole machine room is generated according to the temperatures, and the temperature field graph is introduced into a server machine room temperature field model database constructed in advance to obtain reference actual operation temperature values of all servers in the machineroom, so that the purpose of timely, accurately and intelligently monitoring the operation states of all the servers in the machine room is achieved.

According to an ETC-based road network operation state method provided by the invention, an existing ETC detection node is adopted to monitor a road network interval to be calculated in real time, and a road network monitoring device does not need to be additionally arranged, so that all-section and all-time effective monitoring of the road network interval to be calculated is ensured, and the construction cost and time of a highway are saved; the road network operation state is calculated according to vehicle ETC traffic flow data and license plate recognition data, so that data sources are more reliable, and the calculated road network operation state is more accurate in combination with the closed characteristics of time synchronization and high-speed operation of a highway ETC system. In the road network operation state method provided by the invention, the road network operation state of the road network interval to be calculated is finally obtained through the road section operation state of each expressway road section, so that the obtained road network operation state is more reliable; and meanwhile, a plurality of highway sections can be divided into the road network interval to be calculated according to needs in the highway, so that the supervision of the highway is more flexible.

The invention provides a power transmission line high resistance operation state recognition method based on WAMS data. A power transmission line is analyzed and calculated by using the WAMS data collected by a main station, and then a power transmission line parameter is calculated according to the normal distribution theory in the probability theory. The comparison with an actually measured parameter is carried out with a calculation result as a basis, and the operational state of power transmission line high resistance is recognized.

The invention discloses a comprehensive box operation monitoring method based on a 5G technology, the interior of a comprehensive box is provided with a camera and a temperature sensor, and the methodcomprises the steps: obtaining a first image of a first cable in the comprehensive box according to a first camera, thereby obtaining a layout structure of the first cable in the comprehensive box; obtaining first temperature information in the comprehensive box according to a temperature sensor; inputting the first image and the first temperature information into a first training model to obtainoutput information of the model, namely first state information of the first cable under the layout structure; judging whether a first cable in the comprehensive box is to be maintained or not according to the first state information; and if yes, sending the to-be-maintained instruction to a maintenance station through a 5G communication technology, so that the maintenance station performs scheduling maintenance. The technical purposes that the running state of the comprehensive box can be accurately and timely monitored, and it is ensured that fault maintenance can be conducted in time through acquisition of real-time information are achieved.

The invention discloses a device for accurately measuring pressure difference of a slag hole of a gasification furnace and a measurement method thereof, provides an accurate measurement method for the pressure difference of the slag hole of an entrained flow bed pressurized gasification furnace, and aims to improve the safety and the reliability of long-period operation of the gasification furnace and reduce the frequency of accidental shutdown of a gasification device. According to the device for accurately measuring the pressure difference of the slag hole of the gasification furnace, the upper part of a scrubbing cooling pipe of the gasification furnace is provided with a hole; the wall of the gasification furnace in the upper space of the scrubbing cooling pipe is provided with a hole; the two holes are connected by using a pipeline with an expansion joint; a high-pressure nitrogen pipeline is connected with the hole in the wall of the gasification furnace through a nitrogen blow valve and a check valve of the scrubbing cooling pipe to continuously introduce high-pressure nitrogen to the scrubbing cooling pipe. Thus, the pressure of the scrubbing cooling pipe measured through pressure tapping of the pipeline is instant pressure of crude synthesis gas after the crude synthesis gas passes through the slag hole, and the pressure difference with a combustion chamber is actual pressure difference of the slag hole of the gasification furnace. The technical defect of display lag of the pressure difference of the slag hole of the gasification furnace is overcome, the operation state of the gasification furnace can be timely and accurately displayed, and the reliability of the long-period operation of the system is improved.

The invention relates to a small horizontal water turbine generator set state monitoring device based on the radio frequency identification technology. The device comprises wireless radio frequency identification labels, an edge calculating unit and a monitoring terminal. The wireless radio frequency identification labels are installed on monitoring parts of a small horizontal water turbine generator set and are used for collecting running parameters of all monitoring parts of the set in real time, and the running parameters include the vibration, pressure pulsation, rotating speed, swing andtemperature. The edge calculating unit is used for receiving running parameter data, and the physical quantity corresponding to running parameters are obtained through data processing. The monitoringterminal is used for receiving physical quantity data, and state monitoring is conducted on the small horizontal water turbine generator set based on the physical quantity data. The RFID radio frequency labels are adopted, expansibility is good, effective management is achieved, the real-time performance is high, installation is simple, maintenance is avoided, and monitoring on the running state of the set can be achieved.

The invention relates to a workshop production collaboration method and system. The method comprises the following steps: establishing a production collaboration platform, importing order information to form an order database, and importing equipment maintenance information to form an equipment maintenance database; acquiring operation information of production equipment on each production line in real time, wherein the operation information comprises equipment operation state information, equipment operation time information and equipment operation environment information; the operation information is monitored and analyzed in real time, the production equipment with abnormal operation information is replaced, and alarm information is generated and sent to a manager; and monitoring equipment operation time information in the operation information of the production equipment on each production line in real time, replacing the production equipment of which the operation duration reaches a maintenance condition, generating maintenance information, and sending the maintenance information to a manager. The device has the effects of prolonging the service life of equipment and improving the production efficiency.

The invention discloses a method and device for constructing an equipment energy efficiency curve model, a readable medium and an electronic device. The method comprises the following steps of periodically collecting the operation data of target equipment, wherein the operation data comprises first output power and a first energy efficiency conversion rate corresponding to the first output power;adding the operation data into an operation data time sequence; when the number of the operation data in the operation data time sequence reaches a set value, deleting the operation data in the firstplace in the operation data time sequence; in response to external triggering, performing Gaussian process training by taking each piece of operation data in the operation data time sequence as training data to obtain hyper-parameters corresponding to the target equipment; and determining an energy efficiency curve model corresponding to the target equipment by using the hyper-parameters and the operation data, so that the technical scheme provided by the invention can be suitable for various different types of equipment, and the obtained energy efficiency curve model can reflect the actual operation state of the target equipment more accurately.

The embodiment of the invention provides an equipment running state monitoring method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring index data of at least two to-be-monitored indexes of to-be-monitored equipment in a target time range, wherein the index data is time series data; generating an index data scatter diagram and an index data trend chart according to the index data of the at least two to-be-monitored indexes, wherein the index data scatter diagram is used for representing data relevance between the index data of the at least two to-be-monitored indexes, and the index data trend chart is used for representing data trends of the index data of the at least two to-be-monitored indexes; and according to the index data scatter diagram and the index data trend chart, monitoring a running state of the to-be-monitored equipment in the target time range. Through the embodiment of the invention, the problem that monitoring results are inaccurate when running states of equipment are currently monitored can be solved.

The invention discloses a power grid data parallel processing system based on cloud computing and a processing method thereof. The power grid data parallel processing system comprises a storage client, a Hadoop system platform and an output display end. According to the system, the collected power grid noise data is uploaded to a database in a cloud environment through the storage client, the Hadoop system platform reads the noise data, and a distributed computing program is operated to classify the noise data and perform noise reduction processing according to classes; the computing programs include a correlation coefficient-based k-means clustering algorithm, a five-point three-time data smoothing algorithm and a data median filtering algorithm program, and the output display end displays the final processing result. According to the system, the processing efficiency of the mass power grid data and the analysis quality of the power grid data can be improved through the power grid data processed by utilizing the data clustering, smoothing and median filtering algorithms under the cloud computing platform.

The invention discloses a multi-dimensional sensing data sensing system suitable for an escalator, which belongs to the field of escalator monitoring, and comprises a hand strap monitoring module, a reduction gear box monitoring module, a driving wheel monitoring module and a step monitoring module. The hand strap monitoring module is used for monitoring movement between a hand strap and a friction wheel in real time; the reduction gear box monitoring module is used for monitoring the running state of a reduction gear box; the driving wheel monitoring module is used for monitoring the running state of a driving wheel in real time; and the step monitoring module is used for monitoring the step operation state in real time. According to the multi-dimensional sensing data sensing system suitable for the escalator, through corresponding arrangement of the multiple monitoring modules, all structural components of the escalator can be comprehensively monitored, a complete multi-dimensional monitoring system is constructed, normal and stable operation of the escalator is ensured, potential safety hazards are effectively reduced, and good practical values are realized.