6513results about "Level indicators" patented technology

The invention relates to the technical field of hydrological monitoring, in particular to a multi-satellite collaborative hydrological monitoring system. The method comprises the following steps that a water level height measurement module obtains radar pulse recovery time delay data through a height measurement satellite and calculates the water level height, abnormal points are removed to generate river water level data, a water remote sensing module collects river water images through a remote sensing satellite to extract water boundary features, water area change data are deduced, and the water level height measurement module calculates the water level height. The meteorological wind shear analysis module obtains river channel meteorological data through a meteorological satellite, microwave scattering measurement and wind speed inversion are carried out, wind-induced shear stress parameters are generated, and the flow estimation module carries out section dynamic analysis and estimates the water flow in combination with river channel water level and water area data. And the flow correction module corrects the river water flow based on the wind-induced shear stress parameter and carries out real-time monitoring, and data are synchronously uploaded to the control terminal, so that comprehensive dynamic monitoring of the hydrological state of the river is realized. According to the invention, a more efficient multi-satellite collaborative hydrological monitoring system is realized.

The invention belongs to the technical field of liquid level measurement and industrial process control, and particularly relates to a radar liquid level meter system fusing an adaptive algorithm and multi-modal data. Comprising a data acquisition unit, a signal acquisition and preprocessing unit, a signal denoising and optimizing unit, a data fusion and anomaly detection unit, a self-adaptive calibration and drift compensation unit and a display and alarm terminal. The system has the advantages that the radar liquid level meter, the auxiliary sensor, signal processing, data fusion, anomaly detection, self-adaptive calibration, drift compensation and other technical means are organically combined, and the system can achieve high-precision and real-time monitoring of the liquid level under the complex working condition.

Disclosed herein is urinary output monitoring system including a urinary collection device having a flow meter in communication with a monitor. The urinary collection device catheter includes a urine collection bag, a drainage tube and a urinary catheter. A console of the flow meter wirelessly communicates with a console of the monitor. The monitor depicts urine flow rate information on a display and wirelessly transmits urine flow rate information to an EMR system. The flow meter includes a flow meter identifier and the system links the urine flow rate information to the flow meter identifier. The monitor further links the flow meter identifier with a patient identification from the EMR system and depicts the patient identification on the display.

The invention provides an intelligent water and soil conservation monitoring and management system, and belongs to the technical field of hydraulic engineering and environment monitoring. The data acquisition layer acquires data in real time by using an acoustic sensor network, machine vision monitoring equipment, Internet of Things monitoring equipment, satellite remote sensing monitoring, unmanned aerial vehicle inspection and other technologies. And the data transmission layer transmits the acquired data to the data processing and analyzing layer by adopting a wireless communication network. The data processing and analysis layer analyzes multi-source data through data fusion and preprocessing, GIS technology application and big data analysis and machine learning. And the decision support and application layer comprises a prevention and control measure generation and optimization unit, a real-time early warning and emergency response unit and a user interaction and decision support unit, provides a water and soil conservation and dike reinforcement strategy for a user, and has a feedback optimization mechanism. By comprehensively applying various monitoring technologies and data analysis methods, the accuracy and timeliness of water and soil loss monitoring are improved, and powerful guarantee is provided for dike safety.

The invention relates to the technical field of liquid level detection, in particular to a scrubber sewage tank water level detection system and method based on a liquid level sensor, and the system comprises a sensing data acquisition module, a liquid level signal conversion module, a multi-source numerical value comparison module, a liquid level fluctuation recognition module and an alarm action linkage module. According to the invention, through acquisition of a sensor capacitance change sequence, elimination of abnormal fluctuation, construction of a stable reference curve, enhancement of data immunity, mapping of a liquid level section based on an average capacitance value, accurate identification of liquid level elevation is realized, synchronous comparison of liquid level state information in various communication protocols is realized, and data consistency and reliability are improved. A liquid level fluctuation boundary is accumulatively recognized through trend direction change, a change section is dynamically marked, alarm triggering is based on boundary area and state mark double verification, warning response accuracy and effectiveness are enhanced, and a high-precision and high-stability liquid level detection and early warning system is constructed.

The invention discloses a transformer oil conservator oil level online monitoring method and system based on an ultrasonic technology, and belongs to the field of power equipment monitoring. The oil level of the transformer is related to equipment safety, a traditional monitoring means has defects, and false oil level is prone to misleading operation and maintenance. With the ultrasonic technology as the core, the multi-band ultrasonic sensor transmits and receives ultrasonic waves to the oil conservator, obtains oil level signals and collects oil temperature and load data at the same time. The oil level is calculated by means of ultrasonic propagation time and a multi-band weighted average algorithm, and the false oil level is discriminated according to oil temperature compensation and load correlation. Through signal conditioning and acquisition, microprocessor operation and wireless communication transmission, data is stored and analyzed in a background monitoring system. The innovative system architecture and algorithm realize high-precision oil level measurement, strong interference resistance, intelligent false oil level discrimination and real-time remote monitoring. On-site tests show that the system stably and accurately monitors complex working conditions, effectively prevents oil level abnormal faults, improves the operation and maintenance efficiency of the transformer and the power supply reliability of a power grid, and firmly guarantees the reliable operation of a power system.

Disclosed is a water heater including a case provided with an air supply hole and an air discharge hole, a burner provided in an interior of the case, and a humidified air supply part that provides humidified air to the burner together with a fuel. The humidified air supply part includes a first accommodation tank that accommodates water to generate vapor, and a humidified air supply tank that provides a space for supplying the vapor supplied from the first accommodation tank to air introduced into an interior of the case through the air supply hole.

The invention discloses an unmanned aerial vehicle inspection method and system applied to foundation pit accumulated water monitoring, and the method comprises the steps: determining an optimal route node sequence, and generating an unmanned aerial vehicle control instruction set; acquiring internal and external parameters of a multi-source sensor, and performing time alignment compensation on image frames and sensor data; acquiring a ponding area image coordinate set and attribute data; a three-dimensional projection point set of the ponding area is obtained, and the real coverage area of the ponding area is calculated; generating a three-dimensional overview map of the foundation pit by using the multi-view image of the foundation pit area; determining a three-dimensional coordinate point set and an area estimation result of the ponding area; and projecting the three-dimensional coordinate point set of the ponding area to the three-dimensional overview map of the foundation pit to generate a hidden danger monitoring report. By integrating the unmanned aerial vehicle, the sensor data and the advanced image processing technology, the accuracy, stability and visualization effect of foundation pit accumulated water monitoring are greatly improved, more reliable and comprehensive technical support is provided for safety management of foundation pit engineering, and the safety risk in the construction process is remarkably reduced.

The invention provides an urban road ponding monitoring and drainage system. The urban road ponding monitoring and drainage system comprises a monitoring module which collects ponding depth, water velocity, rainfall intensity and field image data in real time; the initialization configuration module sets parameters such as an accumulated water depth threshold value; the data transmission module encrypts and transmits data to the central control module; the model algorithm optimization module constructs a three-dimensional ponding diffusion model and outputs a predicted ponding depth and an optimized drainage strategy; the central control module generates a drainage pump rotating speed instruction and the like; the drainage execution module dynamically adjusts drainage pump power and a drainage path; the self-checking and fault-tolerant module calculates a health index of drainage equipment and switches redundant equipment; the early warning module sends risk level information; and the interaction module displays information such as a real-time accumulated water thermodynamic diagram. The urban road drainage efficiency can be improved, the water accumulation risk is reduced, and smooth urban traffic and public travel safety are guaranteed.

The invention provides a coastal water level monitoring method based on a dynamic threshold algorithm, a medium and a system, and belongs to the technical field of coastal water level monitoring. The coastal water level monitoring method based on the dynamic threshold algorithm comprises the steps that data are collected through a water level sensor array, and a water level basic matrix and a floating matrix are constructed; a dynamic warning value is calculated by applying a tidal kinetic equation and a hydrometeorological coupling equation set, efficient resource scheduling is realized by utilizing a calculation jump matrix, self-learning optimization and water level prediction are performed based on a hydrological space-time network model, and water level monitoring and prediction data are output. Early warning of different levels is triggered according to the fact that the water level reaches the minimum range or the maximum range of the dynamic warning value, warning information is pushed to the disaster management platform through the edge computing gateway, a comprehensive warning report is finally generated for emergency decision making, and intelligent monitoring and accurate early warning of the coastal water level are achieved.

The invention relates to the technical field of chemical production process monitoring, and provides a chemical storage tank liquid level real-time monitoring method and system based on image recognition, which can automatically generate an accurate illumination threshold value by applying big data analysis and machine learning technologies, can adapt to illumination changes of different chemical scenes, and can realize real-time monitoring of the liquid level of a chemical storage tank. The accuracy of liquid level monitoring under various illumination conditions is greatly improved; for image enhancement and correction, the system adopts a local region adaptive adjustment histogram equalization and optimization CLAHE technology and constructs a feature database assisted threshold segmentation and environmental parameter dynamic adjustment SFS model, so that dark environment images can be enhanced more excellently, strong light reflection can be removed, and reduction liquid level details can be cleared; according to the system, a dynamic weight updating mechanism is created for the first time, the weight is adjusted in real time according to the liquid level change and the image quality, interference of a single image is effectively avoided, and the monitoring reliability is remarkably improved.

The invention discloses a marine surveying and mapping method based on multi-beam sounding correction, and belongs to the technical field of marine surveying and mapping. The method comprises the following steps: acquiring sounding echo signals, sound wave propagation time delay data and temperature data through a multi-beam sonar array, an acoustic chromatography transceiving array and a laser Raman probe; and fusing the data to construct a dynamic refractive index field model, correcting sound ray refraction distortion by adopting an adaptive variable step size algorithm, carrying out weight allocation and data fusion on space-time adjacent beams to obtain high-confidence water depth, and generating an isobath topographic map. The problem of refraction distortion is solved through multi-source data fusion, the sound ray tracking step length is dynamically optimized, noise interference is suppressed through weighted fusion, and the precision and reliability of topographic surveying and mapping in complex environments such as a deep sea hydrothermal region are remarkably improved.

The invention discloses a hydropower station expansion tank water level prediction alarm method and system, belongs to the technical field of hydropower station automatic control, and aims to solve the technical problems of limited monitoring points, high false alarm rate, response delay and the like of a traditional hydropower station expansion tank water level alarm system. According to the invention, the multi-mode sensing network is constructed, and data of the pressure sensor array, the radar level meter and the float switch group are fused, so that space continuous monitoring is realized; a three-level sensing architecture is adopted, heterogeneous data is subjected to normalization processing, and dimensional differences are eliminated; the LSTM network is used for liquid level prediction, and a self-adaptive window adjustment mechanism is combined, so that the prediction flexibility and accuracy are improved; a DQN algorithm is adopted to optimize a control strategy, fine adjustment of the liquid level is achieved by adjusting the opening degree of the valve, the accuracy, timeliness and intelligent level of water level monitoring and alarming of the expansion water tank of the hydropower station are remarkably improved, the stability of the liquid level of the water tank is ensured, the system operation efficiency is optimized, the manual intervention requirement is reduced, and safety is improved.

The invention provides a water level and water quality monitoring method based on an AI technology energizing intelligent central pivot rod, which takes an AI intelligent central pivot sensing rod as a core and integrates various components such as a radar static pressure composite monitoring water level terminal, a water quality five-parameter monitoring terminal, a camera acquisition terminal and a cloud analysis full-amount meteorological sensing station. Through specific structure assembly and field installation, the device is deployed in different water areas such as inland rivers, lakes and rivers. The system collects data according to a set time interval and records environment and scene characteristic parameters. After collected data are preprocessed, adaptive lightweight model combinations are selected according to different scenes and data characteristics, a training set and a test set are divided for model training and fusion, and then the data are deployed to a monitoring terminal and verified by the test set. The system realizes intelligent data processing by means of the AI technology, has flexibility and reliability, can efficiently and accurately collect and stably transmit data, provides accurate technical support for water level and water quality monitoring, and has great significance for flood control and water body ecological protection.

The invention discloses a convolutional neural network vehicle fuel consumption detection method based on ultrasonic sensors, and relates to the technical field of vehicle fuel consumption detection, and the method comprises the steps: 1, installing a plurality of ultrasonic sensor arrays on a vehicle, and monitoring the liquid level change of a fuel tank through the ultrasonic sensors; step 2, performing normalization processing on data acquired by the ultrasonic sensor, and eliminating differences caused by different measuring devices and measuring environments; and step 3, analyzing the preprocessed data through a convolutional neural network model to obtain the vehicle fuel consumption. According to the convolutional neural network vehicle fuel consumption detection method based on the ultrasonic sensor, the ultrasonic sensor is adopted, non-contact measurement is achieved, mechanical abrasion is reduced, key parameters related to fuel consumption, such as the fuel oil liquid level and the distance from a fuel spray nozzle to a combustion chamber can be accurately measured, and the fuel consumption can be accurately detected through accurate measurement of the parameters. And the actual fuel consumption of the diesel engine can be calculated more accurately.

The invention provides an underground water overdraft area water level early warning method and system, and relates to the technical field of water quality dynamic monitoring, and the method comprises the steps: building an underground water overdraft area water level early warning model based on the corrected overdraft area range and overdraft degree; inputting the water level change data monitored in real time into the underground water overdraft area water level early warning model, and performing water level early warning to obtain a preliminary early warning result; water level change data of the underground water overdraft area are monitored in real time, related dynamic influence factor data are recorded, and the dynamic influence factor data comprise the rainfall capacity, the evaporation capacity and the man-made mining quantity; calculating a dynamic factor according to the dynamic influence factor data; and correcting the preliminary early warning result through the dynamic factor to obtain a final early warning result. According to the final early warning result, when it is judged that the groundwater level is about to drop to an early warning threshold value, an early warning signal is sent out. According to the invention, the accuracy and timeliness of early warning are improved.

The invention relates to the technical field of industrial process measurement, and discloses a high-precision liquid level measurement anti-interference calibration method, which comprises the following steps of: 1, synchronously acquiring a liquid level signal, a mechanical vibration signal, an electromagnetic field intensity signal and a temperature distribution signal through a multi-mode sensor array to form multi-physical field data; 2, constructing a hypergraph adjacency tensor based on the coupling relationship of the multi-physics field data, and generating a Laplacian matrix constraint; step 3, performing CP tensor decomposition with hypergraph constraint on an original signal tensor formed by the multi-physical field data, and separating a liquid level signal kernel from an interference kernel; and step 4, inputting the decomposed signal kernel characteristics and the sensor impedance parameters into a depth deterministic strategy gradient algorithm to realize hardware acceleration of a processing flow. A multi-physics field coupling relation is constructed through a hypergraph adjacency tensor and a Laplacian matrix, and the limitation of a traditional binary correlation model is broken through.

The invention relates to the technical field of water flow monitoring, and particularly discloses a flow monitoring method and system based on video image analysis and processing. The method comprises the following steps: carrying out communication acquisition of image monitoring and water level monitoring at a plurality of monitoring acquisition sites; performing video frame extraction and image preprocessing; feature point detection and displacement analysis; converting the water surface flow velocity into a plurality of station water surface flow velocities, and performing fitting correction; and calculating station flow data of the plurality of monitoring acquisition stations. Water surface image data are obtained through image monitoring and water level monitoring communication collection of a plurality of monitoring collection sites in combination with video frame extraction and image preprocessing, the site pixel flow velocity is calculated through feature point detection and displacement analysis, the site pixel flow velocity is converted into corrected water surface flow velocity through a space projection model, and site flow data are calculated. Non-contact full-flow monitoring is achieved, the potential safety hazard that equipment needs to be arranged in water in a traditional method is eliminated, the maintenance difficulty is remarkably reduced, and the method is particularly suitable for flow monitoring in flood periods and dangerous water areas.

A fault detection method and equipment for a drainage pipe network, a server, and a storage medium. In the fault detection method for the drainage pipe network, a liquid level time sequences of monitoring nodes in the drainage pipe network can be collected, and an abnormal event type of the current node may be identified according to the liquid level time sequences. After the abnormal event type is determined, a fault diagnosis algorithm corresponding to the abnormal event type can be adopted to perform hydraulic feature matching on the liquid level time sequence of the current node and the liquid level time sequence current node corresponding to a neighbor neighboring node, to obtain a fault diagnosis result corresponding to the current node.

The invention belongs to the technical field of liquid level monitoring, and relates to a liquid level monitoring method and system based on a radar liquid level meter. The current temperature of the stored substance in the target storage tank is matched with the dielectric constant, whether the dielectric constant is abnormal or not is judged accordingly, the influence of the temperature on the dielectric constant of the stored substance is considered, and errors caused by temperature changes when the radar liquid level meter monitors the liquid level are avoided; whether abnormal influence is generated on the monitoring process of the radar liquid level meter or not is evaluated from multiple dimensions through the key obstacles in the target storage tank, the limitation of single parameter analysis is broken through, measurement errors caused by obstacle abnormity can be reduced, and the stability of liquid level monitoring is ensured; whether foam interference or steam interference occurs or not when the radar liquid level meter monitors the liquid level is recognized through multiple verification modes, the accuracy of interference reason recognition is improved, the pertinence of maintenance measures is guaranteed, and the situation that the measurement precision of the radar liquid level meter is reduced due to abnormal medium characteristics is avoided.

An automated urinary output (“UO”)-measuring system includes a fluid container including a console coupled to one or more ultrasonic sensors and one or more accelerometers. The console includes a processor configured to receive accelerometer values from the one or more accelerometers, to determine an acceleration state of the fluid container, to activate the one or more ultrasonic sensors when the acceleration state of the fluid container is below a threshold, and to measure a volume of fluid in the fluid container when the acceleration state of the fluid container is zero. The system can further include a removable valve coupled to the fluid container and an attachment device including a pocket configured to accommodate the fluid container.

The invention belongs to the technical field of steel pipe flaw detection, and particularly relates to nondestructive ultrasonic flaw detection equipment for seamless steel pipes. The present invention comprises: a water tank; the rotating mechanism is used for driving the seamless steel pipe to rotate; the flaw detection mechanism is used for flaw detection of seamless steel tube surfaces; the transverse transfer mechanism is connected with a movable flaw detection trolley; the flaw detection mechanism comprises a lifting frame, a first lifting cylinder for driving the lifting frame to lift, a plurality of probe assemblies mounted on the lifting frame and a second lifting cylinder for driving the probe assemblies to lift; the probe assembly comprises a lifting seat, a probe seat mounted at the lower end of the lifting seat and an ultrasonic probe mounted on the probe seat; a groove is formed in the lower surface of the probe seat, and a coupling assembly is mounted in the groove; the water storage area is formed between the water storage frame and the seamless steel pipe, a stable water film layer can be formed when water flow in the water storage area flows through the surface of the seamless steel pipe, the probability of missed detection is reduced, and the detection result is more accurate.

The invention relates to the technical field of water level monitoring, in particular to a distance detection method and system of a water level sensor, a medium and equipment. The scheme comprises the following steps: arranging a non-contact distance capacitance change detection structure; calculating the equivalent volume value of the cross-air water level; setting a reference capacitance value according to the change condition of the equivalent capacitance value; setting the change relation between the height change of water and the equivalent capacitance through linear fitting according to the reference capacitance value; according to the change relation between the water height change and the equivalent capacitance, the equivalent capacitance is collected in real time, and the water level height is obtained through calculation; and according to the water level height, displaying the currently acquired water level acquisition value in real time. According to the scheme, a water level non-contact measurement method and a calculation method are designed, and online water level detection and display are achieved.

A radar based, fill level measuring device for determining fill levels in containers, wherein the fill level measuring device can be applied for a large number of different applications, includes a signal production unit designed to produce a first transmitted radar signals within a first frequency band and supplementally a second transmitted radar signal within a second frequency band that does not overlap with the first frequency band and is clearly separated therefrom. The evaluation unit of the fill level measuring device can determine a first fill level value based on the first received signal. Based on the second received signal potentially another fill level value can be determined. In this way, the fill level measuring device can be adapted as regards frequency band to the particular application. The ascertained fill level can be checked for plausibility by comparing the fill level values ascertained in different frequency bands.

An apparatus for monitoring an apparatus for the inductive heating of a metal material including a detection device and an evaluation device. In order to automate the loading of the inductive heating apparatus with bulk material or metal material, according to the invention the detection device is an optical sensor for detecting distance and the evaluation device is designed to determine, on the basis of the distance detected by the detection device, the fill level of the inductive heating apparatus and to output a corresponding signal, the signal being suitable for further use in a control process for the feeding of metal material to the inductive heating apparatus. The invention also relates to a method for automatically loading an apparatus for the inductive heating of a metal material and to a control system for an apparatus for the inductive heating of a metal material.

The invention discloses a multi-channel high-precision water level dynamic real-time monitoring system for a drilling water pumping test, and the system comprises a sensing layer which is used for deploying a multi-source sensor array, inhibiting interference through distributed layout and electromagnetic shielding, collecting multi-dimensional data in real time, and carrying out the preliminary filtering; according to the transmission layer, an optical fiber and twisted pair redundant network is constructed, an EtherCAT protocol is adopted for low-delay transmission, AES-128 encryption tampering prevention is integrated, and edge nodes compress data and verify integrity; the processing layer is used for carrying out real-time preprocessing on edge calculation and switching a standby sensor in abnormal detection; the cloud end predicts the water level trend through Spark Streaming analysis and an LSTM model, distinguishes interference through a random forest algorithm, and outputs calibration data and an analysis report; the application layer is used for constructing a three-dimensional drilling model based on Unity, dynamically displaying water level changes, synchronizing a multi-parameter curve and supporting historical backtracking; the early warning module notifies abnormity through sound and light and short messages, the decision module generates a report and supports multi-drill-hole comparison, and the test strategy is optimized.

The invention relates to the technical field of water level data processing, in particular to a water level data acquisition and processing system based on the Internet of Things, which comprises a trend identification module, a sampling frequency modulation module, a data encapsulation module, an exception elimination module and an instruction linkage module. According to the method, trend recognition is achieved by analyzing the continuous water level change trend, the sampling frequency is dynamically adjusted, so that the sampling interval is matched with the actual water level fluctuation state, the response sensitivity of water level data and the timeliness of data acquisition are improved, and a uniform packaging format is constructed by adopting a timestamp index mechanism and a bidirectional mapping structure; the integrity of a water level data structure and the convenience of index management are enhanced, sudden change breakpoints are recognized through the water level amplitude difference, data are stored in a segmented mode, the data stability and the emergency situation recognition capacity are improved, and the self-adaptive capacity of water level information processing, the maintaining level of data continuity and the coping efficiency of sudden abnormity are overall improved.

The invention relates to the technical field of transformer oil level detection, and discloses an oil level detection system for a liquid-immersed transformer, and the system comprises a detection module which is disposed in an oil cavity of the transformer, and the detection module is configured to obtain temperature data, oil level data and vibration data in the oil cavity of the transformer; the central control module is electrically connected with the detection module, and the central control module is configured to correct the oil level data according to the temperature data and the vibration data; and the early warning module is electrically connected with the central control module, and the early warning module is configured to determine whether to send early warning information or not according to the corrected oil level data. Intelligent correction and risk judgment can be carried out on the oil level information based on the multi-source sensing data, and the accuracy of transformer oil level monitoring and the reliability of early warning response are remarkably improved.

The invention discloses an oil storage tank oil-water interface measurement system and method and a storage medium, and relates to the technical field of oil-water interface measurement, and the system comprises a data acquisition module, a data processing module, a decision support module and a data security module. According to the oil-water interface measuring system and method for the oil storage tank and the storage medium, a three-dimensional sensing network (distributed sensor network) is constructed by adopting a pressure sensor array and phased array ultrasonic scanning technology and combining dielectric property detection of a microwave dielectric constant sensor; the pressure, the dielectric constant, the liquid level and the vibration data in the tank body are obtained, basic data are provided for subsequent processing, the comprehensiveness of data obtaining can be improved through the sensing network, the pressure data are dynamically calibrated through Takagi-Sugeno fuzzy logic, the influence of temperature drift is effectively eliminated, and the accuracy of data obtaining is improved. The ultrasonic signals are subjected to feature enhancement through the generative adversarial network, and the emulsion layer boundary is accurately recognized.

The invention provides an intelligent gas pipeline differential pressure safety monitoring Internet of Things system and method and a storage medium. The Internet of Things system comprises a gas company management platform and a plurality of other platforms. The method is executed by a gas company management platform and comprises the following steps: acquiring a pressure difference data matrix of a current gas pipe network; based on the pressure difference data matrix, determining an abnormity judgment result of the current gas pipe network; determining anomaly probability distribution based on the differential pressure data matrix in response to the existence of the anomaly; generating an operation instruction set based on the abnormal probability distribution; and based on the differential pressure data matrix, generating a voltage regulation instruction, the voltage regulation instruction being configured to control a voltage regulation device to perform voltage regulation. The method can also be operated after a computer instruction stored in a computer readable storage medium is read. According to the Internet of Things system and method, real-time and accurate monitoring and analysis of the pressure difference of the gas pipeline can be realized, and safe and stable operation of a gas pipeline network is ensured.