Intelligent machine room 3D visual operation and maintenance management system

Abstract

The invention discloses a 3D visual operation and maintenance management system for a smart machine room, and relates to the technical field of smart operation and maintenance, and the system is technically characterized in that an environment monitoring module is used for transmitting collected machine room environment data to a block chain platform in real time; the 3D visualization module is used for constructing a machine room three-dimensional model by utilizing three-dimensional modeling software based on the acquired scanning data and measurement data, and integrating machine room environment data into the machine room three-dimensional model; the environment analysis module is used for generating a real-time air flow path according to the layout of the machine room, identifying an air flow blocking area caused by overhaul activities during overhaul, and calculating to obtain heat accumulation after air flow blocking; and the control and early warning module is used for taking corresponding measures according to the heat accumulation condition of the air flow blocked area, monitoring the state of the machine room in real time, and triggering an alarm signal when detecting that the state of the machine room is abnormal so as to prevent the performance of surrounding equipment from being reduced and even causing faults due to overheating.

Description

Technical Field

[0001] The present invention relates to the technical field of computer room operation and maintenance, and in particular to a 3D visualized operation and maintenance management system for a smart computer room. Background Art

[0002] With the rapid development of information technology, the stability and efficiency of data center rooms, as core facilities for information storage and processing, are crucial to business continuity. The efficient operation of servers in the room depends on carefully controlled environmental conditions, especially temperature and humidity.

[0003] In the Chinese invention application with application publication number CN117010665A, an intelligent operation and maintenance IDC computer room management system in the field of computer room management technology is disclosed, including a main control center and the following modules: real-time monitoring and alarm module: the real-time monitoring and alarm module adopts advanced monitoring equipment and sensors, and combines intelligent algorithms to realize real-time monitoring and abnormality detection of important parameters inside the IDC computer room; resource allocation and optimization module: the resource allocation and optimization module is committed to maximizing the utilization of IDC computer room resources, and the real-time monitoring and alarm functions can timely discover and solve computer room failures and improve the reliability of the computer room; resource allocation and optimization based on big data analysis and machine learning algorithms can improve resource utilization and reduce operation and maintenance costs; remote maintenance and operation functions improve the work efficiency and operation convenience of operation and maintenance personnel; data analysis and visualization functions help operation and maintenance personnel better understand the specific data and operation status of the computer room.

[0004] However, in a computer room environment, the efficient operation of servers depends on stable temperature and humidity conditions. When the server chassis is opened for maintenance, this behavior will directly affect the air flow pattern around the chassis. Specifically, the opening of the chassis may break the original hot and cold air circulation paths, causing hot air to be trapped around the chassis, thereby affecting the heat dissipation effect of surrounding equipment. If this situation persists, the surrounding equipment may suffer performance degradation due to overheating, or even cause failures. Summary of the invention

[0005] 1. Technical issues to be solved

[0006] In view of the deficiencies in the prior art, the present invention provides a 3D visualized operation and maintenance management system for a smart computer room. According to the layout of the computer room, a real-time air flow path is generated. By using a 3D visualization module, obstacles and temporary obstacles in the maintenance area are adjusted to generate a real-time air flow path in the maintenance scenario. The air flow obstruction area caused by maintenance activities is identified, and the heat accumulation after the air flow is obstructed is calculated. According to the heat accumulation in the air flow obstruction area, corresponding measures are taken to monitor the status of the computer room in real time. Once an abnormality is found, an alarm is triggered immediately, thereby solving the problems mentioned in the background technology.

[0007] (II) Technical solution

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions: a 3D visual operation and maintenance management system for a smart computer room, comprising:

[0009] The environmental monitoring module collects the computer room environment data and sends the collected computer room environment data to the blockchain platform in real time;

[0010] The 3D visualization module uses 3D modeling software to build a 3D model of the computer room based on the collected scan data and measurement data, and integrates the computer room environment data into the 3D model of the computer room;

[0011] Environmental analysis module, which generates real-time air flow paths based on the layout of the computer room;

[0012] When performing maintenance, identify areas where air flow is blocked due to maintenance activities and calculate the heat accumulation after the air flow is blocked;

[0013] The control and warning module takes corresponding measures according to the heat accumulation in the area where air flow is blocked, monitors the status of the computer room in real time, and triggers an alarm signal when an abnormal status of the computer room is detected.

[0014] Furthermore, the collection of computer room environmental data includes: arranging temperature sensors and air flow sensors on the front, top and sides of the computer room equipment to monitor the temperature changes and air flow changes around the computer room equipment; installing temperature sensors and air flow sensors at the ventilation holes, air conditioning outlets and return air outlets of the computer room to monitor the temperature changes and air flow changes of the entire computer room.

[0015] Furthermore, the real-time air flow path generation process is as follows:

[0016] According to the layout of the computer room, draw the initial air flow path; obtain the position coordinates of each air flow sensor and the corresponding wind speed and wind direction, convert the wind speed and wind direction data into velocity vectors, and use the spatial interpolation method to expand the discrete velocity vectors to the entire computer room space to form a continuous vector field; compare the initial air flow path with the velocity vector in the vector field, and calculate the angle between each point on the initial path and the corresponding position vector direction.

[0017] Furthermore, a deviation threshold is pre-set, and when the angle between each point on the initial air flow path and the vector direction of the corresponding position is greater than or equal to the deviation threshold, it is adjusted to fit the vector direction until the angle between each point on the initial air path and the vector direction of the corresponding position is less than the deviation threshold;

[0018] Use fluid dynamics simulation software to simulate the actual flow of air in the computer room. According to the simulation results, continuously adjust the initial air flow path until the simulation results match the actual sensor data to obtain the real-time air flow path.

[0019] Furthermore, the process of identifying the air flow obstruction area is as follows:

[0020] When the server chassis is opened for maintenance, the 3D visualization module is used to adjust the obstacles and temporary obstacles in the maintenance area, and the real-time air flow path in the maintenance scenario is generated through the position coordinates of each air flow sensor and the corresponding wind speed and direction;

[0021] The real-time air flow path in the maintenance scenario is compared with the real-time air flow path before the maintenance, including flow velocity comparison and flow direction comparison, to identify the area where air flow is blocked due to maintenance activities.

[0022] Furthermore, the heat accumulation calculation process after the air flow is blocked is as follows:

[0023] Obtain the thermal capacity of the equipment in the air flow obstruction area and the equipment temperature data before and after the air flow is obstructed, and calculate the additional heat load of the equipment after the air flow is obstructed. The calculation formula is as follows:

[0024]

[0025] Among them, Q extra represents the additional heat load of the equipment, C represents the heat capacity of the equipment, ΔTe represents the temperature difference of the equipment before and after the air flow is blocked, and Δt represents the time difference corresponding to the temperature difference ΔT;

[0026] Obtain the power of the equipment in the area where the air flow is blocked, and calculate the original heat load of the equipment before the air flow is blocked. The calculation formula is as follows:

[0027] Q base =P*η

[0028] Among them, Q base represents the original heat load, P represents the power consumption of the equipment, η represents the thermal efficiency coefficient, 0<η<1.

[0029] Furthermore, the average air temperature and the equipment surface temperature in the area where the air flow is blocked are obtained, and the convection heat dissipation after the air flow is blocked is calculated. The calculation formula is as follows:

[0030] Q conv =h*A*ΔT

[0031] Among them, Q conv represents convective heat dissipation, h represents the convective heat transfer coefficient, A represents the heat dissipation area, and ΔT represents the temperature difference between the heat source and the environment;

[0032] The heat accumulation after the air flow is blocked is calculated by the original heat load of the equipment before the air flow is blocked, the additional heat load of the equipment after the air flow is blocked, and the convection heat dissipation after the air flow is blocked. The calculation formula is as follows:

[0033] Q accum =Q base +Q extra -Q conv

[0034] Among them, Q accum Indicates heat buildup.

[0035] Furthermore, a heat accumulation risk threshold is set in advance, and when the heat accumulation in the area where the air flow is blocked is less than the heat accumulation risk threshold, monitoring continues; when the heat accumulation in the area where the air flow is blocked is greater than or equal to the heat accumulation risk threshold, corresponding measures are taken, including aligning the direction of air supply from the air conditioner toward the area where the air flow is blocked and temporarily placing cooling equipment, until the heat accumulation in the area where the air flow is blocked is less than the heat accumulation risk threshold.

[0036] (III) Beneficial effects

[0037] The present invention provides a 3D visual operation and maintenance management system for a smart computer room, which has the following beneficial effects:

[0038] (1) By deploying temperature and humidity sensors, air flow rate sensors, etc. in various places, the environmental data in the computer room can be collected in real time and accurately, which is crucial for timely detection of potential environmental problems (such as overheating, high or low humidity, etc.), and helps to ensure the stable operation of the equipment in the computer room. Using blockchain technology to record and store these environmental data can ensure the authenticity and immutability of the data. The decentralized and distributed ledger characteristics of blockchain make it difficult to tamper with the data once it is on the chain, thereby enhancing the security and credibility of the data.

[0039] (2) The three-dimensional model of the computer room presents the overall layout, equipment distribution and spatial structure of the computer room in a highly realistic manner, allowing operation and maintenance personnel to quickly grasp the overall picture of the computer room without on-site inspection, thereby improving work efficiency. By integrating equipment performance parameters and environmental sensor data interfaces into the three-dimensional model, key indicators such as the equipment's operating status, temperature, and humidity can be displayed in real time, which helps to detect abnormal situations in a timely manner and improve the stability and safety of the computer room's operation.

[0040] (3) By generating and displaying the air flow path in the computer room in real time, identifying the air obstruction areas caused by maintenance activities, and analyzing the heat accumulation in the air obstruction areas, it helps operation and maintenance personnel take timely measures, thereby effectively preventing equipment performance degradation or failure due to overheating and improving system stability and reliability.

[0041] (4) When a heat dissipation problem does occur during the actual maintenance process, it can quickly provide detailed information about the affected area, including the specific degree and location of heat accumulation, to help quickly locate the problem and initiate an emergency response mechanism to prevent surrounding equipment from performing poorly or even failing due to overheating. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 This is a schematic diagram of the structure of the 3D visualization operation and maintenance management system for the smart computer room of the present invention;

[0043] Figure 2 It is a flow chart of the 3D visualization operation and maintenance management system of the smart computer room of the present invention. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0045] See also Figure 1-Figure 2 The present invention provides a 3D visualization operation and maintenance management system for a smart computer room, including: an environmental monitoring module, a 3D visualization module, an environmental analysis module, and a control and early warning module; wherein,

[0046] The environmental monitoring module collects the computer room environment data and sends the collected computer room environment data to the blockchain platform in real time;

[0047] Place temperature sensors at key locations such as the front, top, and sides of the equipment in the computer room to monitor temperature changes around the equipment in the computer room; place a certain number of temperature sensors at the top, bottom, hot and cold aisles, and surrounding walls of the computer room to form a comprehensive monitoring of the overall environment of the computer room;

[0048] Install air flow sensors at key locations such as the front, top, side, and rear of the equipment in the computer room to fully monitor changes in air flow patterns when the chassis is turned on. Air flow sensors should be placed especially near the air inlet and outlet of the chassis. Install air flow sensors at the ventilation outlets, air conditioning outlets, and return air outlets of the computer room to monitor the air flow of the entire computer room.

[0049] It should be noted that the number and location of sensors should be reasonably set according to the size and layout of the computer room to ensure the accuracy and representativeness of the monitoring data. For possible hot spots in the computer room (such as equipment-intensive areas, poorly ventilated areas, etc.), the density of sensor layout should be increased to more accurately monitor the temperature and humidity conditions in these areas.

[0050] It should be noted that air flow sensors should be installed at locations that can represent the air flow characteristics at different heights in the room. For example, sensors can be installed at the top, middle, and bottom of the room to monitor changes in air flow in the vertical direction. At the same time, considering that equipment heat dissipation is usually concentrated inside or near the cabinet, the height of the sensor should also be able to cover these areas.

[0051] It should be noted that the angle of the air flow sensor should be set according to the direction of air flow. If it is known that there are obvious air flow paths in the room (such as from the air outlet of the air conditioner to the air inlet of the equipment), the air flow sensor should be aimed at these paths to accurately capture the speed and direction of the air flow. In addition, for areas where eddies or dead corners may exist, the air flow conditions in these areas should also be monitored by adjusting the angle of the air flow sensor.

[0052] According to the characteristics and requirements of the computer room environment data, choose a suitable blockchain platform, such as Ethereum, Hyperledger Fabric, etc. For example, Ethereum is a widely used public blockchain platform that supports the development of smart contracts and decentralized applications (DApps) and has a rich ecosystem and development tools, while Hyperledger Fabric is a private blockchain framework designed for enterprises, providing high performance, scalability, and privacy protection;

[0053] Configure network nodes on the selected blockchain platform, including setting the number of nodes, communication protocols and consensus mechanisms between nodes, and deploy smart contracts to define the rules for uploading data to the blockchain, verify the authenticity of data, and execute the logic of data operations;

[0054] The collected environmental data is sent to the blockchain platform in real time. Before the data is uploaded to the blockchain, the data is verified using smart contracts. The verification process includes checking the integrity, format correctness and timestamp of the data. If the data is verified, the smart contract will generate a unique data hash value and store it on the blockchain together with the data.

[0055] The verified environmental data and its hash value are packaged into a data block and added to the blockchain through a consensus mechanism. The immutability of the blockchain ensures that once the data is on the chain, it cannot be modified or deleted. The blockchain platform is responsible for storing all the environmental data and its hash value on the chain. These data will be arranged in chronological order on the blockchain to form an immutable data chain;

[0056] By deploying temperature and humidity sensors, air flow rate sensors, etc. in various places, the environmental data in the computer room can be collected in real time and accurately, which is crucial for timely detection of potential environmental problems (such as overheating, high or low humidity, etc.), and helps to ensure the stable operation of the equipment in the computer room. Using blockchain technology to record and store these environmental data can ensure the authenticity and immutability of the data. The decentralized and distributed ledger characteristics of blockchain make it difficult to tamper with the data once it is on the chain, thereby enhancing the security and credibility of the data.

[0057] The 3D visualization module uses 3D modeling software to build a 3D model of the computer room based on the collected scan data and measurement data, and integrates the computer room environment data into the 3D model of the computer room;

[0058] Use a 3D scanner to scan the computer room in all directions and measure the room size, equipment location, pipeline layout, etc., including the overall structure of the computer room, walls, floors, ceilings, cooling equipment (such as air conditioning units, air ducts) and internal equipment.

[0059] It should be noted that during the scanning process, the scan data is collected and saved in real time, and the collected scan data is preliminarily processed, such as denoising, splicing, alignment, etc., to form a preliminary 3D model of the computer room. Denoising is to remove the noise points generated during the scanning process and improve the data quality; splicing is to merge multiple scan segments into a complete 3D model; alignment is to ensure that the positional relationship between different scan segments is correct;

[0060] Based on the scanned and measured data, use professional 3D modeling software (such as AutoCAD, 3ds Max, SolidWorks, etc.) to build a 3D model of the computer room and its internal equipment, and model the air conditioning system, including air supply vents, return vents, air supply ducts, etc.;

[0061] By connecting to the interface of the computer room monitoring system, the performance parameters of the equipment (such as CPU usage, memory occupancy, temperature, humidity, etc.) are integrated into the three-dimensional model of the computer room, and the data interfaces of the environmental sensors in the computer room (such as temperature and humidity sensors, air flow sensors, etc.) are integrated into the three-dimensional model of the computer room;

[0062] It should be noted that during the modeling process, attention was paid to details such as the shape, size, color, and texture of the equipment to ensure the authenticity and accuracy of the model. For the underfloor air supply system, special attention was paid to the accuracy of the pipeline layout and air supply path. Color or transparency was used to distinguish different systems or pipelines to improve recognition. At the same time, according to the layout of the computer room and the placement of the equipment, the position and angle of the model were reasonably adjusted to simulate the real computer room environment.

[0063] Optimize the constructed 3D model of the computer room, including reducing the number of model faces and optimizing texture mapping, to improve the rendering speed and display effect of the model. Perform functional tests on the integrated 3D model, including real-time display of equipment performance parameters and real-time update of environmental data. Test the interactive functions of the model, such as zooming, rotating, and panning, to ensure that users can browse and operate the model easily.

[0064] The three-dimensional model of the computer room presents the overall layout, equipment distribution and spatial structure of the computer room in a highly realistic way, allowing operation and maintenance personnel to quickly grasp the overall picture of the computer room without on-site inspection, thereby improving work efficiency. By integrating equipment performance parameters and environmental sensor data interfaces into the three-dimensional model, key indicators such as the equipment's operating status, temperature, and humidity can be displayed in real time, which helps to detect abnormal situations in a timely manner and improve the stability and safety of the computer room's operation.

[0065] The environmental analysis module generates real-time air flow paths based on the layout of the equipment room. During maintenance, it identifies areas where air flow is blocked due to maintenance activities and calculates the heat accumulation after the air flow is blocked.

[0066] The specific steps include:

[0067] Step 1: Draw the initial air flow path according to the layout of the equipment room. Use the position coordinates of each air flow sensor and the corresponding wind speed and direction to form a continuous vector field. Adjust the initial air flow path according to the vector field to generate a real-time air flow path, including:

[0068] Step 101: Draw the initial air flow path according to the design layout of the computer room and the air conditioning system, including the circulation process of cold air entering the computer room from the air supply port, passing through the heat-generating equipment such as the server, and then returning to the air conditioning return port through the hot channel. On the initial air flow path, make adjustments according to the location of obstacles to simulate how the air bypasses or passes through these obstacles.

[0069] Step 102: Obtain the position coordinates of each air flow sensor and the corresponding wind speed and wind direction, and convert the wind speed and wind direction data into vector form, that is, each measurement point has a velocity vector (Vx, Vy, Vz), where Vx, Vy, and Vz are the components of the wind speed in the x, y, and z directions, respectively. Use a spatial interpolation method (such as linear interpolation, inverse distance weighted interpolation, etc.) to expand the discrete velocity vector to the entire room space to form a continuous vector field;

[0070] Step 103: Compare the initial air flow path with the velocity vector in the vector field, calculate the angle between each point on the initial path and the direction of the corresponding position vector, and determine whether the initial path flows along the general direction of the velocity vector;

[0071] Step 104: presetting a deviation threshold, when the angle between each point on the initial air flow path and the corresponding position vector direction is greater than or equal to the deviation threshold, locally adjusting the initial air flow path to fit the vector direction, so that the angle between each point on the initial path and the corresponding position vector direction is less than the deviation threshold;

[0072] It should be noted that the setting of the deviation threshold depends on the maximum deviation angle allowed between the initial path and the vector direction. Large computer rooms or complex layouts may need to set a smaller deviation threshold to ensure accurate control of air flow, while small computer rooms or computer rooms with simple layouts can appropriately relax the threshold. When setting, ensure that the flow path is reasonable and effective.

[0073] Step 105: Use fluid dynamics simulation software (such as CFD software) to simulate the actual flow of air in the computer room, including vortex, backflow and other phenomena. According to the simulation results, continuously adjust the initial air flow path until the simulation results are highly consistent with the actual sensor data and the flow path is reasonable and effective, and generate a real-time air flow path;

[0074] Step 2: Use the 3D visualization module to adjust obstacles and temporary obstacles in the maintenance area, generate the real-time air flow path under the maintenance scenario, and compare it with the real-time air flow path before the maintenance to identify the air flow obstruction area caused by the maintenance activity;

[0075] Step 201: When the server chassis is opened for maintenance, the 3D visualization module is used to adjust obstacles (such as an opened or removed chassis cover) and temporary obstacles (such as maintenance personnel, tools, etc.) in the maintenance area, and the real-time air flow path in the maintenance scenario is generated through the position coordinates of each air flow sensor and the corresponding wind speed and wind direction;

[0076] Step 202: Compare the real-time air flow path in the maintenance scenario with the real-time air flow path before the maintenance, including flow velocity comparison and flow direction comparison, to identify the air flow obstruction area caused by the maintenance activity (such as an open chassis cover, or obstruction by maintenance personnel or tools);

[0077] Flow rate comparison: Compare the air flow rate distribution diagrams before and after the maintenance to identify areas where the flow rate drops significantly. These areas may be blocked by the open chassis cover, maintenance personnel or tools, causing air flow obstruction;

[0078] Flow comparison: Compare the air flow diagrams before and after the inspection to determine if there are significant changes in direction, especially areas that were originally well ventilated but now have eddies or backflows;

[0079] It should be noted that the real-time air flow path before maintenance is the real-time air flow path when the computer room is in a stable operating state without interference from external factors. When performing flow velocity comparison and flow direction comparison, the flow velocity difference threshold and the flow direction angle threshold can be pre-set. By comparing the flow velocity difference and the flow direction angle before and after maintenance, it is determined whether there is an area with a significant decrease in flow velocity and a significant change in flow direction, and the air flow obstruction area is identified in turn;

[0080] The velocity difference threshold is set based on the historical velocity data of the computer room, and is lower than a certain percentage (such as 10%, 20%, etc.) of the lower limit of the normal fluctuation range in the historical data to ensure that a significant velocity drop can be captured; the flow angle threshold should be set to clearly distinguish between normal and abnormal flow directions;

[0081] Step 3: Obtain the additional heat load of the equipment after the air flow is blocked, the original heat load of the equipment before the air flow is blocked, and the convection heat dissipation after the air flow is blocked, and calculate the heat accumulation after the air flow is blocked;

[0082] Step 301: Obtain the heat capacity of the equipment in the air flow obstruction area and the equipment temperature data before and after the air flow is obstructed, and calculate the additional heat load of the equipment after the air flow is obstructed. The calculation formula is as follows:

[0083]

[0084] Among them, Q extra represents the additional heat load of the equipment, C represents the heat capacity of the equipment, ΔTe represents the temperature difference of the equipment before and after the air flow is blocked, and Δt represents the time difference corresponding to the temperature difference ΔT;

[0085] Step 302: Obtain the power of the equipment in the area where the air flow is blocked, and calculate the original heat load of the equipment before the air flow is blocked. The calculation formula is as follows:

[0086] Qbase =P*η

[0087] Among them, Q base represents the original heat load, P represents the power consumption of the equipment, η represents the thermal efficiency coefficient, 0<η<1;

[0088] Step 303: Obtain the average air temperature and the device surface temperature in the air flow obstruction area, and calculate the convective heat dissipation after the air flow is obstructed. The calculation formula is as follows:

[0089] Q conv =h*A*ΔT

[0090] Among them, Q conv represents convective heat dissipation, h represents the convective heat transfer coefficient, A represents the heat dissipation area, and ΔT represents the temperature difference between the heat source and the environment;

[0091] It should be noted that convective heat transfer is the process of transferring heat by the flow of fluid (such as air). In areas where air flow is obstructed, convective heat transfer will be significantly affected. Due to the obstruction of air flow, the mixing and agitation of the fluid is reduced, resulting in a decrease in the efficiency of heat transfer. Therefore, the convective heat transfer coefficient will decrease. The process of obtaining the convective heat transfer coefficient includes:

[0092] Step 3031: Obtain the air inlet and outlet temperatures and flow rates of the device after the air is blocked, and calculate the heat of the air passing through the device. The calculation formula is as follows:

[0093] Q tot =m*C p *ΔT1

[0094] Among them, Q tot represents the heat of air passing through the equipment, m represents the air mass flow rate, C p represents the constant pressure specific heat capacity of air, ΔT1 represents the temperature difference between the inlet and outlet of air;

[0095] Air mass flow rate: m = ρ*A*v, where ρ represents the density of the air, A represents the cross-sectional area (heat dissipation area) of the flow area, and v represents the average flow velocity of the air in the flow area;

[0096] Step 3032: Substitute the heat of the air passing through the device into the calculation formula of convection heat transfer to obtain:

[0097] m*C p *ΔT1=h*A*ΔT

[0098] Then, the calculation formula of the convective heat transfer coefficient is:

[0099]

[0100] Step 304: Calculate the heat accumulation after the air flow is blocked by the original heat load of the equipment before the air flow is blocked, the additional heat load of the equipment after the air flow is blocked, and the convection heat dissipation after the air flow is blocked. The calculation formula is as follows:

[0101] Q accum =Q base +Q extra -Q conv

[0102] Among them, Q accum Indicates heat accumulation;

[0103] It should be noted that the heat transfer in the air flow obstruction area includes direct heat radiation, heat conduction and convection heat transfer. Since the heat conduction and heat radiation do not change much before and after the air flow is obstructed, the main focus is on the impact of changes in convection heat transfer on heat accumulation;

[0104] By generating and displaying the air flow path in the computer room in real time, identifying the air obstruction areas caused by maintenance activities, and analyzing the heat accumulation in the air obstruction areas, it helps operation and maintenance personnel take timely measures, thereby effectively preventing equipment performance degradation or failure due to overheating and improving system stability and reliability.

[0105] The control and warning module takes corresponding measures according to the heat accumulation in the area where air flow is blocked, monitors the status of the computer room in real time, and triggers an alarm signal when an abnormal status of the computer room is detected.

[0106] Pre-set the heat accumulation risk threshold. When the heat accumulation in the air flow obstruction area is less than the heat accumulation risk threshold, it means that the heat accumulation risk is low and monitoring continues.

[0107] When the heat accumulation in the air flow obstruction area is greater than or equal to the heat accumulation risk threshold, it indicates that the heat accumulation risk is high and measures need to be taken to reduce the risk, including aligning the air supply direction of the air conditioner to the air flow obstruction area, resetting the wind speed and temperature, ensuring that the air supply can directly cover and effectively reduce the temperature of the accumulation area, until the heat accumulation in the air flow obstruction area is less than the heat accumulation risk threshold. In areas with severe heat accumulation, fans, water curtains, refrigeration modules and other local cooling equipment should be temporarily or permanently installed to enhance the heat dissipation capacity of the area;

[0108] The setting of the heat accumulation risk threshold is based on historical fault data related to heat accumulation. According to the heat accumulation when these faults occur, the lowest numerical limit that causes the fault is determined to determine a reasonable risk threshold;

[0109] Monitor the status of the computer room in real time. When an abnormality is detected (such as excessively high local temperature or abnormal humidity), an alarm is triggered immediately. The system responds quickly and solves the problem through the preset emergency response process, such as automatically notifying the operation and maintenance personnel and starting the backup cooling system.

[0110] When a heat dissipation problem does occur during the actual maintenance process, it can quickly provide detailed information on the affected area, including the specific degree and location of heat accumulation, to help quickly locate the problem and initiate an emergency response mechanism to prevent performance degradation or even failure of surrounding equipment due to overheating.

[0111] In the application, the several formulas involved are all calculated by removing dimensions and taking their numerical values. The formula is a formula of the most recent real situation obtained by collecting a large amount of data and performing software simulation. The coefficients in the formula are set by technicians in this field according to actual conditions.

[0112] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in combination with electronic hardware, computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0113] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0114] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. The 3D visualization operation and maintenance management system of the smart computer room is characterized by: include: The environmental monitoring module collects the computer room environment data and sends the collected computer room environment data to the blockchain platform in real time; The 3D visualization module uses 3D modeling software to build a 3D model of the computer room based on the collected scan data and measurement data, and integrates the computer room environment data into the 3D model of the computer room; Environmental analysis module, which generates real-time air flow paths based on the layout of the computer room; When performing maintenance, identify areas where air flow is blocked due to maintenance activities and calculate the heat accumulation after the air flow is blocked; The control and warning module takes corresponding measures according to the heat accumulation in the area where air flow is blocked, monitors the status of the computer room in real time, and triggers an alarm signal when an abnormal status of the computer room is detected.

2. The 3D visual operation and maintenance management system for a smart computer room according to claim 1 is characterized by: The collection of computer room environmental data includes: placing temperature sensors and air flow sensors on the front, top and sides of the computer room equipment to monitor the temperature changes and air flow changes around the computer room equipment; installing temperature sensors and air flow sensors at the ventilation vents, air conditioning outlets and return air vents of the computer room to monitor the temperature changes and air flow changes of the entire computer room.

3. The 3D visual operation and maintenance management system for a smart computer room according to claim 1 is characterized by: The real-time air flow path generation process is as follows: According to the layout of the computer room, draw the initial air flow path; obtain the position coordinates of each air flow sensor and the corresponding wind speed and wind direction, convert the wind speed and wind direction data into velocity vectors, and use the spatial interpolation method to expand the discrete velocity vectors to the entire computer room space to form a continuous vector field; compare the initial air flow path with the velocity vector in the vector field, and calculate the angle between each point on the initial path and the corresponding position vector direction.

4. The 3D visual operation and maintenance management system for a smart computer room according to claim 3 is characterized by: A deviation threshold is set in advance. When the angle between each point on the initial air flow path and the vector direction of the corresponding position is greater than or equal to the deviation threshold, it is adjusted to fit the vector direction until the angle between each point on the initial air flow path and the vector direction of the corresponding position is less than the deviation threshold; Use fluid dynamics simulation software to simulate the actual flow of air in the computer room. According to the simulation results, continuously adjust the initial air flow path until the simulation results match the actual sensor data to obtain the real-time air flow path.

5. The smart computer room 3D visual operation and maintenance management system according to claim 1 is characterized by: The process of identifying areas where air flow is restricted is as follows: When the server chassis is opened for maintenance, the 3D visualization module is used to adjust the obstacles and temporary obstacles in the maintenance area, and the real-time air flow path in the maintenance scenario is generated through the position coordinates of each air flow sensor and the corresponding wind speed and direction; The real-time air flow path in the maintenance scenario is compared with the real-time air flow path before the maintenance, including flow velocity comparison and flow direction comparison, to identify the area where air flow is blocked due to maintenance activities.

6. The smart computer room 3D visual operation and maintenance management system according to claim 1 is characterized by: The heat accumulation after air flow is blocked is calculated as follows: Obtain the thermal capacity of the equipment in the air flow obstruction area and the equipment temperature data before and after the air flow is obstructed, and calculate the additional heat load of the equipment after the air flow is obstructed. The calculation formula is as follows: Among them, Q extra represents the additional heat load of the equipment, C represents the heat capacity of the equipment, ΔTe represents the temperature difference of the equipment before and after the air flow is blocked, and Δt represents the time difference corresponding to the temperature difference ΔT; Obtain the power of the equipment in the area where the air flow is blocked, and calculate the original heat load of the equipment before the air flow is blocked. The calculation formula is as follows: Q base =P*η Among them, Q base represents the original heat load, P represents the power consumption of the equipment, η represents the thermal efficiency coefficient, 0<η<1.

7. The 3D visual operation and maintenance management system for a smart computer room according to claim 6 is characterized by: Obtain the average air temperature and device surface temperature in the area where air flow is blocked, and calculate the convection heat dissipation after air flow is blocked. The calculation formula is as follows: Q conv =h*A*ΔT Among them, Q conv represents convective heat dissipation, h represents the convective heat transfer coefficient, A represents the heat dissipation area, and ΔT represents the temperature difference between the heat source and the environment; The heat accumulation after the air flow is blocked is calculated by the original heat load of the equipment before the air flow is blocked, the additional heat load of the equipment after the air flow is blocked, and the convection heat dissipation after the air flow is blocked. The calculation formula is as follows: Q accum =Q base +Q extra -Q conv Among them, Q accum Indicates heat buildup.

8. The smart computer room 3D visual operation and maintenance management system according to claim 1 is characterized by: A heat accumulation risk threshold is set in advance. When the heat accumulation in the area where the air flow is blocked is less than the heat accumulation risk threshold, monitoring will continue. When the heat accumulation in the area where the air flow is blocked is greater than or equal to the heat accumulation risk threshold, corresponding measures will be taken, including aligning the direction of the air supply from the air conditioner toward the area where the air flow is blocked and temporarily placing cooling equipment until the heat accumulation in the area where the air flow is blocked is less than the heat accumulation risk threshold.

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