197 results about "It equipment" patented technology

The invention provides a cooling liquid flow regulation and control method and system for an immersed liquid cooling system, and the method comprises the steps: obtaining a set temperature of the liquid cooling system, obtaining a power interval of a liquid cooling distribution unit and a rotating speed interval of a cooling water pump based on the set temperature of the liquid cooling system, defining a first random process based on a Monte Carlo algorithm, and obtaining a first random liquid cooling sample; defining a second random process based on a random forest algorithm and obtaining a second random liquid cooling sample, executing a particle swarm optimization algorithm on the first random liquid cooling sample to obtain a first optimized liquid cooling regulation and control parameter, executing the random forest algorithm on the second random liquid cooling sample to obtain a second optimized liquid cooling regulation and control parameter, based on the root locus diagram of the liquid cooling second-order transfer function, stability judgment is carried out, and optimized liquid cooling regulation and control parameters or fused liquid cooling regulation and control parameters are obtained; and importing the optimized liquid cooling regulation and control parameters or the fused liquid cooling regulation and control parameters into a liquid cooling regulation and control module, thereby improving the cooling effect of the immersed liquid cooling system on a server or IT equipment.

The invention relates to the technical field, in particular to a credit-based IT equipment lease management system, which comprises a credit state recognition module, an equipment matching and screening module, a lease term behavior monitoring module, an equipment state rechecking module and a lease permission backtracking module. According to the method, the dynamic credit label is formed by extracting the credit score change trend of the service party and combining the task emergency degree, intelligent judgment on resource priority configuration is achieved, and in the equipment screening link, a scheduling combination is accurately constructed through purpose consistency comparison and historical adaptation data screening, the matching efficiency is improved, and the matching efficiency is improved. In the operation process, multi-dimensional behavior data is collected and equipment self-inspection information is combined to realize joint identification of abnormal use, interface response analysis is used to guide servicing task assignment, and a closed-loop treatment system of pre-rental evaluation, in-rental monitoring and post-rental management and control is constructed by combining service party score fluctuation and equipment credit bearing limit.

The invention relates to a virtual power plant optimization operation method and system based on data center shared energy storage and load space-time migration, and the method comprises the steps: quantifying the electric energy utilization efficiency of a data center according to the power consumption of IT equipment, the power consumption of refrigeration equipment and the power consumption of other auxiliary equipment in a data center power consumption model; in the load space-time migration model, delay processing time calculation is carried out on batch processing loads, and the load migration amount across the data centers is calculated among the data centers; dynamically distributing the energy storage capacity of each data center in the shared energy storage model, and sharing the energy storage investment cost by adopting a Shapley value; in the double-layer optimization model, the upper-layer model generates an electricity price signal and a demand response instruction according to the wind and light output prediction data, the real-time electricity price of the power grid and the initial load demand of each data center, and transmits the electricity price signal and the demand response instruction to the lower-layer model; and the lower-layer model feeds back the obtained data center response and the electrical load to the upper-layer model. Compared with the prior art, the method has the advantages of high collaboration, high efficiency, high consumption and the like.

The invention discloses an energy-saving economic dispatching method for a data center energy system based on a prediction model. The method comprises the following steps: establishing a digital twinborn model of the data center energy system; dividing the data center into a plurality of energy consumption partitions, and installing a temperature acquisition device in each energy consumption partition; after a cooling capacity demand prediction model of the data center under each time period partition is established, target combination parameters and target energy efficiency indexes PUE of the chilled water temperature and the air supply temperature of a refrigeration subsystem under each time period are obtained through calculation; establishing a data center energy efficiency index PUE prediction model, and establishing an upper-layer refrigeration subsystem optimization scheduling model by taking the minimum deviation between an energy efficiency index PUE prediction value and a target energy efficiency index PUE, the minimum deviation between actual combined parameters of chilled water temperature and air supply temperature and target combined parameters and the minimum cold capacity supply and demand deviation of each partition as targets; and establishing a lower-layer data center optimization scheduling model by taking the minimum power utilization operation cost of the system and the minimum load migration cost of the IT equipment as a target.

The invention discloses an IT equipment maintenance task dynamic scheduling method fused with fault prediction, and relates to the technical field of maintenance task scheduling. The IT equipment maintenance task dynamic scheduling method fused with fault prediction comprises the following steps: constructing an equipment state spatial-temporal characteristic matrix and a historical fault frequency matrix of IT equipment, and determining an occurrence frequency matrix of each fault type of the IT equipment in combination with a working condition correction factor stored in a database; determining a fault maintenance task amount based on the number of IT devices and the occurrence frequency matrix of each fault type; according to the system and the method, the expected completion state of the fault maintenance task is determined based on the current working state of the resident maintenance personnel, and the working mode and personnel of the resident maintenance personnel are adjusted based on the expected completion state of the fault maintenance task, so that the fault quantity can be intelligently evaluated, and the manual workload distribution can be optimized to improve the fault repair efficiency. Downtime is reduced, and user experience is improved.

The invention discloses a root cause analysis method based on an IT operation and maintenance system, and the method comprises the steps: obtaining the physical position data and real-time environment data of IT equipment, carrying out the matrix construction through a dual topological relation based on the physical position data and the real-time environment data, and obtaining an IT equipment spatial topological matrix containing environmental impact factors. And obtaining operation state data of the IT equipment, performing spatio-temporal conjoint analysis and dimension reduction based on the operation state data and the IT equipment spatial topology matrix to obtain IT equipment dynamic prediction data, and obtaining an IT equipment state dynamic prediction curve according to the IT equipment dynamic prediction data. If the IT equipment state dynamic prediction curve monitors abnormity, a fault propagation path is generated through a reinforcement learning algorithm, and IT equipment fault root causes are determined in combination with a multivariate fault knowledge graph and a causal graph model. According to the method, the problem of early warning lag of the IT operation and maintenance system can be solved, and the problem that root cause positioning has high dependence on artificial experience is solved.

The present invention discloses a cave-type data center constructed based on an underground river, as well as its construction method and operation method, belonging to the technical field of cave-type data center construction. The data center includes a mountain body, in which an underground river is developed, and the underground river flows through a karst cave in the mountain body. On one side or both sides of the underground river in the mountain body, a number of equipment storage tunnels are provided. The number of the equipment storage tunnels are respectively connected to the karst cave through a slope connecting tunnel. An equipment cabinet and a liquid heat exchanger are arranged in the equipment storage tunnel. A river water conveying assembly is connected to the liquid heat exchanger. One end of the river water conveying assembly far away from the liquid heat exchanger passes through the slope connecting tunnel and extends into the underground river. The liquid cooling method is used to cool and dissipate heat from the equipment cabinet. This direct temperature control method significantly improves the heat dissipation and cooling effect on the IT equipment cabinet. At the same time, the heat exchange efficiency is high, and the operation energy consumption of the data center can be reduced.

The invention discloses an intelligent operation and maintenance early warning method and device for IT equipment and a medium, and the method comprises the steps: collecting multi-dimensional perception data corresponding to the IT equipment through a pre-deployed distributed probe, so as to construct a multi-dimensional real-time perception data set corresponding to the IT equipment, the method comprises the steps of obtaining current equipment attribute information of IT equipment, determining a dynamic confidence interval corresponding to the IT equipment based on the current equipment attribute information and a pre-constructed equipment health baseline model, and when it is monitored that operation of the IT equipment is abnormal based on the dynamic confidence interval and a multi-dimensional real-time perception data set, determining whether the IT equipment is abnormal or not based on a pre-constructed equipment association map. Predicting a propagation path corresponding to the IT equipment, determining a fault propagation path corresponding to the IT equipment, carrying out the impact degree evaluation of the impact equipment according to the fault propagation path and the equipment service information of a plurality of impact equipment, and determining a fault risk index corresponding to each impact equipment, so as to carry out the fault risk early warning.

The invention relates to the technical field of construction site monitoring, in particular to a construction site monitoring system and equipment based on a remote sensing image technology, and the system comprises a remote sensing image collection module, an unmanned aerial vehicle platform, a low-orbit satellite platform and a ground mobile platform which all acquire remote sensing images of a construction site through sensors; the multi-modal fusion module is used for performing data fusion processing according to the remote sensing image to obtain multi-modal data; when the system is used, the unmanned aerial vehicle platform, the low-orbit satellite platform and the ground mobile platform are used for collecting remote sensing image data, various targets on a construction site are conveniently and accurately recognized, misrecognition is reduced, and the system is beneficial for images under complex environments such as different illumination and weather conditions and images under the complex background of urban buildings. The construction site target is identified and positioned, and in a data-deficient and new construction site environment, the self-supervised learning and transfer learning technology can effectively improve the learning ability of the model, reduce the dependence on annotated data, and quickly adapt to new task requirements.

The invention relates to a data center equipment type selection method based on electrical and heating ventilation load linkage, and belongs to the technical field of data center infrastructure design. The model selection method comprises the steps of setting basic data, obtaining the number of machine rooms and the number of IT devices in a single machine room, obtaining the total power of the IT devices, setting an energy efficiency index set value, obtaining the project power consumption scale, obtaining the total cooling load, selecting models of air conditioners at the tail ends of the machine rooms and substations, selecting models of water chilling units, selecting models of heat exchangers, selecting models of cooling water pumps and chilled water pumps and selecting models of cooling towers. And obtaining the total power of the air conditioner, obtaining an energy efficiency index accounting value, and carrying out PUE verification. According to the method, through closed-loop iteration of electrical load-heating and ventilation load-PUE, model selection and quantity selection of all key equipment are completed at a time; professional splitting, repeated adjustment and modification and capacity redundancy caused by traditional serial design are avoided, the design period is remarkably shortened, and initial investment is reduced.

Data center assemblies include first and second arrays of information technology (IT) equipment cabinets defining a hot aisle. The data center assemblies also include an air containment assembly fluidly coupled to the hot aisle, at least one air-cooling unit fluidically coupled the air containment assembly, and / or at least one liquid-cooling system fluidically coupled to at least a portion of the IT equipment cabinets. The at least one fluid-cooling system includes a heat exchanger fluidically coupled to a cooling liquid loop and a fluid pump fluidly coupled to the heat exchanger and the at least a portion of the IT equipment cabinets. The air-cooling units and liquid-cooling systems may be designed to be interchangeable, allowing for seamless adaptation to changes in the number and types of IT equipment cabinets in a data center pod. The types of IT equipment cabinets may include air-cooled and liquid-cooled IT equipment cabinets.

The invention provides a shunting network simulation model construction method and system for a liquid cooling cold plate, and the method comprises the steps: S1, obtaining the distribution positions of IT equipment elements, building a two-dimensional IT simulation plane, S2, obtaining the constraint conditions of the cold plate, building a two-dimensional network simulation plane, carrying out the heat source grade marking of the two-dimensional network simulation plane, and carrying out the heat source grade marking of the two-dimensional network simulation plane. The method comprises the following steps: performing unit division on a two-dimensional network simulation plane and performing shunting network connection in a step S3 to generate a plurality of three-dimensional shunting network models, performing analogue simulation in a step S4, performing discrimination operation, executing a step S5 or a step S6 based on the discrimination operation, if the step S5 is executed, generating a plurality of improved three-dimensional shunting network models based on a shunting improved model, and if the step S5 is executed, performing shunting network connection on the improved three-dimensional shunting network models. And S4, if the step S6 is executed, sorting output is carried out on the three-dimensional shunting network model based on the judgment operation, a designer can refer to the three-dimensional shunting network model to design the shunting network of the liquid-cooling cold plate, and the research and development rate is improved.

The invention discloses a flight data safety management method applied to low-altitude economy, and relates to the technical field of data management, and the method comprises the steps: obtaining heterogeneous monitoring data of an infrastructure and IT equipment in real time; calculating the health degree score and the fault risk probability of each logic area in the low-altitude economic flight data center in real time; based on the health degree score and the fault risk probability, root cause analysis is carried out in combination with a pre-constructed operation and maintenance knowledge graph, and an optimal operation and maintenance disposal plan is generated through matching; and converting the generated operation and maintenance disposal plan into a specific automatic instruction. The method has the advantages that through deep fusion and conjoint analysis of multi-modal data, accurate and panoramic perception of the health state of the low-altitude economic flight data center and prospective prediction of the fault risk are realized, and through automatic execution and a closed-loop feedback mechanism, the safety of the low-altitude economic flight data center is improved. A traditional operation and maintenance mode which is passive in response and highly depends on manpower is converted into a closed-loop autonomous mode which is active in early warning, intelligent in decision making and autonomous in execution.

The invention discloses an intelligent equipment management method and an equipment management system thereof, and relates to the technical field of equipment management.The method comprises the steps that key operation parameters of equipment are collected through multiple types of sensors, and data processing is executed; transmitting the encrypted data to a central node in real time through a communication module, and completing data cleaning and redundant backup; performing training, prediction, diagnosis and result generation on the equipment state by using a decision tree model in an artificial intelligence engine; according to the intelligent analysis result, fault warning, authority verification and control instruction issuing execution are carried out through the terminal module; and collecting execution feedback data, continuously optimizing the decision tree model, and realizing equipment management closed loop and intelligent evolution. The invention provides an intelligent equipment management method and system integrating multi-source sensing, decision tree intelligent analysis, security authentication and multi-level control, real-time monitoring, fault prediction and automatic control of the equipment state are realized, and the intelligence and reliability of equipment management are improved.

The invention relates to an operation and maintenance factory visualization system based on data processing, belongs to the field of data processing specially suitable for administrative, commercial, financial, management, supervision or prediction purposes, and particularly relates to the field of big data processing. Based on data processing and artificial intelligence technologies, the operation and maintenance factory visualization system is developed, intelligent analysis and prediction are carried out by collecting and analyzing the IT equipment of the IDC machine room and mass operation and maintenance data of applications in real time and utilizing an AI algorithm realized based on an intelligent analysis and prediction model, and the operation and maintenance efficiency is improved. The equipment fault information and the application fault information of the set IDC machine room in the next time segment of the current time segment are obtained, so that the equipment fault information and the application fault information are synchronously displayed when the IDC machine room operation and maintenance system carries out transparent factory type assembly line visual display on various operation and maintenance works of the set IDC machine room on a visual interface. Therefore, operation and maintenance personnel are helped to master and set the running state of the IDC machine room in time.

The invention relates to a virtual power plant-oriented data center resource scheduling method, equipment and medium, and the method comprises the steps: carrying out the multi-time scale division and dynamic characteristic decoupling of IT equipment, energy storage system and refrigeration system resources, and forming a decoupling resource model; dividing a high-collaboration resource cluster, and calibrating an elastic capacity boundary of the resource cluster; solving a multi-market collaborative optimization model in a global optimization layer at a first preset time scale according to the electric power information, the carbon information and the computing power demand information, and generating a day-ahead baseline strategy; carrying out distributed decision making by adopting a federal reinforcement learning framework at a local decision making layer based on the day-ahead baseline strategy and the real-time operation data at a second preset time scale, and generating a real-time regulation and control instruction; and when a trigger event is monitored, triggering the global optimization layer to re-plan the day-ahead baseline strategy, issuing a re-planning result to a local decision-making layer, and updating a real-time regulation and control instruction. Compared with the prior art, the method has the advantages of high reliability, collaboration, robustness and the like.

The invention discloses a group control method and device for air conditioners in a machine room, terminal equipment and a storage medium, and belongs to the field of air conditioner control. The method comprises the steps that the environment temperature of the machine room and the actual operation total power of all I T equipment are collected, and whether local hot spots exist in the machine room or not is judged; if yes, the hotspot grade corresponding to the local hotspot is judged according to the machine room environment temperature, and the air conditioner air volume of the area corresponding to the local hotspot is adjusted according to the hotspot grade; if not, the actual total operation power is larger than the first preset threshold value, the air conditioner temperature of all the areas is gradually reduced through gradient cooling, and the state of the machine room is monitored after the air conditioner temperature is reduced every time; when monitoring that the machine room state exceeds a first preset time, if the machine room state does not meet a preset state; if yes, the air conditioner air volume and the air conditioner temperature of each area are set in a rollback mode according to the recently recorded parameter snapshots. The problem of how to improve the regulation and control reaction speed while ensuring the accuracy of the group control process of the air conditioners in the machine room can be solved.

The invention relates to the technical field of geoscience text travel, in particular to a VR system and equipment for a geoscience text travel system, and the system comprises a VR online geological science popularization area module which is used for carrying out the digital modeling of a field complex and dangerous geological phenomenon through employing a VR technology, and carrying the model to a line; the VR modeling and rendering module is used for carrying out digital modeling on the field geological phenomenon, rendering a vivid VR scene and adjusting the scene in real time according to data of the VR interaction equipment interface module; the VR interaction device interface module collects device sensor data in real time and transmits the data to the VR modeling and rendering module, the data processing related module and the like, and meanwhile receives control instructions of other modules to adjust the device state. The VR system for the geoscience text travel system and the equipment thereof have the advantages that various advanced technologies are integrated, the problems of the existing geoscience text travel system are solved, digital display and management of geological landscapes and tourist attractions are realized, user experience is improved, and local economic development and cultural transmission are promoted.

The embodiment of the invention provides an IT equipment operation and maintenance method, device and equipment based on multiple modes. The method comprises the following steps: collecting multi-mode operation data of IT equipment; according to the multi-mode operation data, obtaining operation characteristics of the IT equipment; calculating autonomy degree grade indexes of the IT equipment according to the operation characteristics, wherein the autonomy degree grade indexes comprise a software exception accumulated value, a network stability coefficient and a hardware load balance degree; and according to the autonomy level index, generating a decision instruction set of the IT device, the decision instruction set comprising a repair priority and a resource allocation strategy of the IT device. In this way, the repair priority and the resource allocation strategy of the IT equipment can be intelligently and rapidly determined based on the multi-mode operation data of the IT equipment, so that the operation and maintenance efficiency and accuracy of the IT equipment are improved.

The invention relates to the technical field of AR remote operation and maintenance, and provides an operation and maintenance system, an operation and maintenance terminal, an expert terminal, a server and a control method thereof, and the operation and maintenance system comprises an operation and maintenance unit which is used for collecting video information and depth data of a physical environment in real time; establishing a mapping relation between the physical environment and the virtual coordinate system according to the video information and the depth data of the physical environment to obtain a physical environment grid and a camera projection matrix; the expert unit is used for intercepting a static frame picture and generating marking information after selecting a marking type; the operation and maintenance unit is used for receiving the marking information and the marking type in real time; converting the labeling information into a camera space ray through the camera projection matrix; calculating a collision point of a camera space ray and the physical environment grid, and determining a three-dimensional space coordinate; and rendering the corresponding three-dimensional marking model in the display field of view of the operation and maintenance unit. The method is used for realizing remote maintenance of IT equipment, mapping expert guidance information to a physical environment and carrying out augmented reality visual display.

This application provides an IT device interconnection architecture and IT device, including: at least one computing power device circuit board, at least one I / O device circuit board, a first connector, and a second connector; the computing power device circuit board and the I / O device circuit board are arranged perpendicularly to each other. The computing power device circuit board is used to electrically connect to the computing power device, and the I / O device circuit board is used to electrically connect to the I / O device. By vertically arranging the computing power and I / O device circuit boards and using pluggable connections, the traditional backplane is replaced, reducing interconnection space, improving internal space utilization and component integration, achieving logic decoupling, simplifying maintenance and upgrades, and supporting speed evolution. Because the above architecture has a high aperture ratio and orthogonal layout, heat dissipation can be enhanced, allowing the use of higher power components. Furthermore, after iterating to new interface standards, no large-scale modification is required; only the corresponding circuit board needs to be replaced to adapt to future developments.

The invention discloses a machine room environment real-time monitoring and polling method and system, which realizes three-in-one monitoring of environment-equipment-physical space by synchronously acquiring machine room environment information, video images and IT equipment states (CPU / memory occupation and other information), solves the problem that a traditional scheme only pays attention to the machine room environment, and improves the working efficiency. By setting the authority for the access of the state information inspection result of the IT infrastructure, on one hand, an unauthorized user cannot access, and on the other hand, different authorities are granted according to different roles, so that the problem that the existing machine room inspection technology is lack of monitoring the operation state of the machine room infrastructure and is adaptive in a confidential scene is solved; the system breaks through the bottleneck in the prior art in the aspects of low-cost expansion and quick fault response, and meets the actual requirements of intelligent operation and maintenance of the machine room.

A system manager that is configured to monitor and manage an amount of rejected heat within a data center that is provided downstream to a building, house, or machine that is located externally to the data center is disclosed. The system manager receives temperature measurements at various points along a cooling system of the data center and incrementally adjusts temperature set points of chillers, indoor cooling units, and IT equipment. By allowing the chillers, air-cooling units, and IT equipment to operate at slightly less optimal temperature set points, more or less rejected heat may be provided, according to downstream demand.

The invention relates to the technical field of data cabinets, in particular to a data center IT equipment cabinet which comprises a lower disc assembly and a cabinet assembly, a hydraulic cylinder device is started to drive a first disc plate to move downwards, the first disc plate and a second disc plate are discs made of hard rubber materials, oil liquid is gathered towards the interior of a barrel shell, and the lower disc assembly is connected with the lower disc assembly. Oil flows back to drive a second disc plate to move towards the cavity disc, the second disc plate, a connecting rod, a guide pipe, a clamping shell and a positioning pipe are guided to move in the direction of a guide groove till the second disc plate abuts against and is attached to a check block close to the cavity disc, and at the moment, the positioning pipe is inserted into the cabinet body; cold air of an external air conditioning system enters the cabinet bodies through the support plate front end pipeline, the support plate inner cavity, the cavity box inner cavity, the interiors of the combined pipes, the interiors of the insertion pipes, the interiors of the guide pipes, the interiors of the clamping shells and the interiors of the positioning pipes, through the arrangement, multiple sets of cabinet bodies can be conveniently and synchronously installed and limited through the device body, and the installation efficiency of the cabinet bodies is improved.

The invention provides a double-circuit power supply balancing device and a balancing control method, and relates to the technical field of data center power supply, and the double-circuit power supply balancing device comprises two power distribution units which are respectively connected with two independent power supply modules of IT equipment; each power distribution unit comprises a three-phase circuit, each phase circuit is connected in parallel to an external power supply and comprises an upper bridge arm and a lower bridge arm, and the midpoint of the upper bridge arm and the midpoint of the lower bridge arm are connected with a power supply module; each of the upper bridge arm and the lower bridge arm comprises a plurality of submodules which are sequentially connected in series; the balance control module is connected with the power distribution unit and is used for realizing total energy balance of the power distribution unit, bridge arm balance current and energy balance between bridge arms. The system has the advantages that a three-level hierarchical control strategy is adopted for solving the problem of uneven energy in double-circuit power supply, overall energy balance, inter-phase energy balance and inter-bridge-arm energy balance are achieved by controlling total current, inter-phase direct-current circulation and inter-bridge-arm fundamental-frequency circulation respectively, direct-current side interference can be avoided through decoupling control, the challenge of uneven energy distribution is systematically solved, and the system is suitable for large-scale popularization and application. And power supply stability and electric energy quality are ensured.

The application discloses a kind of cloud desktop it equipment management systems, specifically including the following steps: step 1: running cloud desktop on terminal, terminal access external device is used in cloud desktop;Step 2: by viewing USB equipment to query the product identification code corresponding to external device, then it will be queried to cloud desktop;Step 3: set on client so that external device and the network card address of cloud desktop produce mapping relationship, and report to server side.Step 4: when the association of external device and cloud desktop is completed, the external device can be used in the cloud desktop;Step 5: the client of cloud desktop removes the mapping association of the device identification code of external device and the network card address of cloud desktop.Can set the mapping relationship of the pid of external device and desktop mac address, after this association is established, another cloud desktop is used in a cloud desktop external device that has bound association relationship, will be prohibited to use, subsequent cloud desktop user is easy to find device.

A dual-input power supply has two power paths that connect a server in a data center to electrical power. Each power path has a first stage that comprises a power-factor correction circuit. The power paths share a common second stage that comprises a dc / dc converter. The first stages of the power paths collectively define a pair of first stages that is disposed either within a package that is off the motherboard or without a package and on the motherboard. Similarly, the second stage is disposed either within a package that is off the motherboard or without a package and on the motherboard.

The challenge is to accurately profile customers' lifestyles by time of day and provide digital services that enhance the value of the customer experience. [Solution] The digital service design device 100 collects smart meter information 2 and questionnaire information 4 as customer characteristic information indicating the attributes of energy consumers and their equipment from an external communication network 108, identifies service information similar to the collected customer characteristic information from service information 3 which shows the characteristics of existing services provided to consumers in qualitative language descriptions, compares the customer characteristic information and the identified service information to calculate the difference, and generates new service information indicating a new service that complements the difference.

The invention discloses an industrial internet-based data monitoring system and equipment thereof, and the system comprises a data monitoring system and data monitoring equipment. The data monitoring device comprises a master control platform, a data acquisition module, a data transmission module, a data processing and storage module, a real-time monitoring and visualization module, a remote control and scheduling module and a safety guarantee module. The data monitoring system has the functions of data cleaning, data aggregation, data analysis and data mining, the data cleaning is used for improving the quality and accuracy of the data and reducing errors in the data analysis and mining process, and the data aggregation is used for converting a large amount of fine-grained data into higher-level congruent information; according to the method, more comprehensive data views are provided, data analysis is used for identifying modes, laws and trends in data, deep understanding of the data is provided, support is provided for business decision making and problem solving, data mining provides deep mining and prediction capacity for the data, and it is ensured that a more accurate decision is made.