140 results about "It equipment" patented technology

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 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 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 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.

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 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 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.

This invention discloses a modular splicing net and its fixtures, relating to the technical field of trawl nets. It includes a basic frame and net panels. The basic frame comprises multiple annular first base members arranged parallel to each other front and back, with multiple second base members circumferentially arranged between adjacent first base members. Net panels are disposed between adjacent second base members, and the second base members are used to fix the net panels. The diameter of the first base members gradually decreases from the opening end to the tail end of the net. The purpose of this invention is to provide a modular splicing net and its fixtures that are easy to assemble and maintain, provide strong net panel protection, and have a large flow area.

The invention discloses a real-time energy efficiency optimization control method, equipment and device for an air conditioner for a data center, and relates to the technical field of heating ventilation air conditioner control. Comprising the steps of 1, establishing a cabinet variable frequency air conditioner refrigerating capacity prediction model based on a neural network; 2, establishing a cabinet variable frequency air conditioner energy consumption prediction model; 3, constructing a target function based on Bayesian optimization to optimize the real-time energy efficiency of the cabinet variable frequency air conditioner; on the premise that the IT equipment load requirement in the cabinet is met, the cabinet air conditioning system always operates at the optimal energy efficiency point under different outdoor temperatures and IT equipment loads, and the energy saving performance and reliability of the cabinet variable frequency air conditioner are effectively improved.

This invention provides an underwater data center for placement on the seabed near coastal cities to improve network speed and smoothness through short-distance transmission. The underwater data center includes a shell and a return air duct. The shell has an IT equipment area and an auxiliary function area. The IT equipment area includes a server room module, and the auxiliary function area includes a cooling module. The air inlet of the return air duct is connected to the air outlet of the server room module, and the air outlet of the return air duct is connected to the air inlet of the server room module. The cooling module is disposed within the return air duct. The cooling module has a first heat exchange section with a flow cavity and a seawater inlet and outlet connected to the flow cavity to introduce flowing seawater into the flow cavity for heat exchange with the air in the return air duct. This invention addresses the problem of excessive energy consumption in cooling data centers in existing technologies.

The utility model provides a kind of modularization access ability and hardware state feedback function's mud logging data acquisition system, including host computer, communication bottom plate and multiple plug-in data acquisition cards;The communication bottom plate has communication interface and multiple standardized connection slots, the communication bottom plate is connected to host computer by communication interface, and the multiple standardized connection slots are used to accommodate different function types of data acquisition card;Each acquisition card is equipped with coding chip, status indicator light and acquisition module, the coding chip is used to report its equipment number and type to host computer, the status indicator light is used to display acquisition card operating state in real time, and the acquisition module is used to acquire current, voltage and pulse signal;The host computer is used to uniformly manage entire mud logging data acquisition system, carries out data processing and communication scheduling.This system structure is clear, installation is convenient, supports quick replacement and extension, significantly improves the deployment efficiency and fault positioning ability of mud logging field system.

The invention discloses a multi-computing power center energy consumption optimization model and elastic space quantification method considering calculation of load space-time migration characteristics, and the method comprises the following steps: 1) constructing key energy consumption equipment IT equipment in computing power centers and a power consumption model of an air conditioning system, and constructing a heat exchange coupling model by considering the heat exchange process of the IT equipment and the air conditioning system; 2) constructing a multi-computing-power-center energy consumption optimization model considering the space-time migration characteristics of the calculation load; 3) solving a multi-computing-power-center energy consumption optimization model considering the space-time migration characteristics of the calculation load; and 4) converting the energy consumption optimization model into a linear programming model taking an energy consumption feasible region as an optimization space, and calculating an energy consumption elastic space based on a multi-parameter programming theory. According to the calculation power center energy consumption optimization and energy consumption elastic space quantification method, the calculation load space-time migration flexibility can be reasonably considered in the electric power system and calculation power center cooperative operation field, the accurate multi-calculation power center total operation cost minimization method is provided, and the energy consumption regulation elastic space is quantified.

The utility model relates to the technical field of archive management, in particular to a damp-proof drying device for an archive room, which is high in flexibility, enlarges the use range, reduces the use cost and improves the damp-proof effect in the archive room. Comprising an equipment body, air inlet assemblies, a control assembly and a filtering assembly, the control assembly is installed at the top of the equipment body, the air inlet assemblies are installed at the front and rear ends in the equipment body, drying mechanisms are arranged in the air inlet assemblies, and the filtering assembly is installed at the input ends of the air inlet assemblies.

The invention discloses a multi-input multi-output data center energy efficiency model based on a fuzzy network. The method comprises the following steps: acquiring operation data of IT equipment and air conditioning equipment; processing the collected operation data into a data set which can be used by an energy efficiency model; building a multi-input multi-output data center energy efficiency model based on the fuzzy network; the energy efficiency model uses a fuzzy neural network to predict the air supply temperature and the air supply volume of control parameters, and further optimizes the control parameters by means of a multi-objective optimization algorithm; dividing the data set into a training set and a test set, training the designed energy efficiency model by using the training set, and verifying a training result through the test set; the optimal combination of the control parameters is obtained through the energy efficiency model, and finally the optimal control parameters are sent to the air conditioner equipment, so that optimal control over the air conditioner of the data center is achieved. According to the energy efficiency model provided by the invention, the internal relation among multiple inputs can be captured, an air conditioner control scheme is scientifically and reasonably formulated, and energy conservation of the air conditioner is realized while the temperature of a machine room is guaranteed.

This application provides a method and apparatus for controlling the coolant temperature of an immersion liquid cooling system. The method includes: collecting the surface temperature, coolant temperature, and ambient temperature of IT equipment in the immersion liquid cooling system to obtain the power consumption of the IT equipment; constructing a temperature difference response relationship between the surface temperature and the coolant temperature based on the surface temperature, coolant temperature, ambient temperature, and power consumption; determining the minimum operating temperature of the coolant based on the ambient temperature and the outlet temperature of the immersion liquid cooling system; determining a safe upper limit value for the surface temperature based on the power consumption; determining a temperature adjustment range for the coolant based on the safe upper limit value, the minimum operating temperature, and the temperature difference response relationship; using the maximum temperature value within the temperature adjustment range as the target temperature setpoint; and adjusting the coolant to the corresponding temperature based on the target temperature setpoint. The coolant temperature control method and apparatus for an immersion liquid cooling system provided in this application are simple and convenient, and can ensure safe equipment operation while also considering energy efficiency and cost savings.

The invention belongs to a prediction method, provides a data center energy consumption prediction method and a related device, and aims to solve the technical problem that the existing prediction method based on a deep learning model only models a single component and is not accurate enough or neglects the interaction between different load influence factors. Real-time data center energy consumption associated index data are obtained, the data center energy consumption associated index data comprise subdivision index data associated with IT equipment energy consumption, subdivision index data associated with cooling equipment energy consumption and subdivision index data associated with power regulation equipment, and energy consumption influence index data of main power consumption equipment of the data center are comprehensively obtained; and the prediction accuracy is improved. Then, dimension reduction processing and standardization processing are carried out on the real-time data center energy consumption association index data, indexes with high correlation are removed, so that the data dimension is reduced, standardization processing is carried out on different index data, and the time used for model training and actual prediction is shortened.

The application relates to the technical field of data processing, in particular to an IDC data center energy efficiency optimization and fault prediction system and method based on AI, which comprises the following modules: a data acquisition module, which is used for collecting IT equipment energy consumption data, refrigeration system operation parameters and server state log data of a data center in real time; a fault prediction module, which is used for outputting fault early warning information and equipment health state indexes, and performing hierarchical processing on the fault early warning information; an energy efficiency optimization module, which is used for determining a real-time power utilization efficiency value of the data center, generating an energy efficiency optimization strategy, and dynamically adjusting the optimization amplitude of the energy efficiency optimization strategy according to the grade of the fault early warning signal; and a collaborative control module, which is used for performing intersection comparison on the early warning equipment list and the to-be-adjusted equipment list, determining the issuing strategy of a final control instruction according to a comparison result, and evaluating and feeding back the effect of the collaborative control. The application improves the reliability and energy efficiency level of data center operation.

Methods and systems for collecting and analyzing telemetry data from liquid-cooled IT (information technology) equipment and from the surrounding infrastructure that supports the IT equipment. Data streams from highly heterogeneous data sources at multiple locations throughout a data center that houses liquid-cooled IT equipment provide deep insights to improve energy efficiency.