IDC machine room operation state monitoring method and device
By conducting disaster risk assessment and equipment area division in the IDC computer room, and dynamically assessing the operating status of the equipment with environmental impact coefficients, the problem of insufficient analysis of sensor network stability and environmental factors in the existing technology is solved, and higher monitoring accuracy and reliability are achieved.
Patent Information
- Application Number
- CN202411726938.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-28
- Publication Date
- 2025-03-07
- Estimated Expiration
- 2044-11-28
AI Technical Summary
When deploying wireless sensor networks, the existing IDC computer room operating status monitoring methods and devices lack disaster risk analysis of the computer room location, which makes it difficult to ensure the stability and reliability of the sensor network in the event of sudden disasters, and the monitoring device lacks analysis of environmental factors, which affects the accuracy of monitoring.
By obtaining geographical information and disaster risk data around the computer room, assessing the disaster risk index of the computer room, and determining the specifications and deployment of the sensors. Based on the correlation between the equipment operation fluctuation function and the equipment, the computer room equipment is divided into areas, the equipment area environmental information is collected, the equipment area environmental impact coefficient is calculated, the equipment operation status is dynamically evaluated, and the regional equipment standard operating status quality index matrix is formed, and the computer room operation status is then evaluated.
It improves the accuracy and reliability of the monitoring device on the operating status of the IDC computer room, ensures the stability of the sensor network in the event of sudden disasters, avoids the impact of the environment and other equipment on sensitive equipment, and improves the intelligence level of computer room management.
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Figure CN119583596A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of IDC computer room monitoring, and in particular to an IDC computer room operation status monitoring method and device. Background Art
[0002] As an important part of information technology infrastructure, the stable operation of IDC computer rooms is crucial to ensuring the continuity of corporate business. With the acceleration of digital transformation, IDC computer rooms are facing higher energy efficiency requirements and complex operating environments. Therefore, real-time monitoring of the operating status of computer rooms, including temperature and humidity, equipment load, energy consumption, and fault warnings, becomes particularly important. Through efficient monitoring methods and devices, potential problems can be discovered in advance, system downtime or equipment damage can be avoided, and the level of intelligence in computer room management can be improved. Effective monitoring can not only optimize resource allocation, but also reduce operation and maintenance costs, ensure the safe and efficient operation of IDC computer rooms, and thus provide enterprises with stable and reliable service guarantees.
[0003] The existing IDC computer room operation status monitoring method and device, when deploying a wireless sensor network at the computer room location, lacks analysis of the disaster risk at the computer room location, and cannot guarantee the stability and reliability of the sensor network in the event of a sudden disaster. At the same time, the monitoring device lacks analysis of environmental factors, and other related equipment in the computer room will also affect sensitive computer room equipment, thereby affecting the accuracy of monitoring. Therefore, it is necessary to provide an IDC computer room operation status monitoring method and device to solve the above-mentioned problems. Summary of the invention
[0004] In order to solve the above technical problems, a method and device for monitoring the operating status of an IDC computer room are provided. The technical solution solves the problem that the existing method and device for monitoring the operating status of an IDC computer room proposed in the above background technology are difficult to deploy a suitable wireless sensor network according to the location of the computer room, resulting in the monitoring device lacking accuracy and reliability in monitoring the operating status of the IDC computer room. At the same time, the computer room equipment is not only susceptible to environmental influences, but other related equipment in the computer room will also affect the sensitive computer room equipment, thereby affecting the accuracy of monitoring.
[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:
[0006] A method for monitoring the operating status of an IDC computer room, comprising:
[0007] Obtain the location information of the computer room and deploy a wireless sensor network based on the location information of the computer room;
[0008] Acquire computer room equipment information based on the computer room location information, wherein the computer room equipment information includes computer room equipment location information and computer room equipment basic information;
[0009] Based on the location information and basic information of the equipment in the computer room, the equipment in the computer room is divided into regions to obtain the regional information of the equipment in the computer room;
[0010] According to the wireless sensor network, the equipment area environment information is collected with the equipment area information of the computer room;
[0011] Combine the equipment area environmental information and the basic information of the equipment in the computer room to obtain the equipment area environmental impact coefficient;
[0012] According to the equipment area information of the computer room, the operation status information of the equipment in the computer room is collected respectively, and the operation status information of the equipment in the computer room is stored in the operation status database;
[0013] Through the operation status database, equipment area environmental impact coefficient and equipment area information of the computer room, the operation status of the equipment in different areas of the computer room is evaluated to obtain the regional equipment standard operation status quality index matrix;
[0014] Based on the regional equipment standard operating status quality index matrix, the operating status of the computer room is evaluated to obtain the operating status information of the computer room;
[0015] Set early warning information based on the computer room operation status information.
[0016] In an optional embodiment, the acquiring of the location information of the computer room and the deployment of the wireless sensor network based on the location information of the computer room specifically include:
[0017] Determine the deployment target area information, and obtain the map information of the deployment target area and the deployment target location information through the map tool;
[0018] Obtain the location information and quantity information of the computer room according to the map information;
[0019] Based on the location information and number of computer rooms, obtain the geographic information around the computer room and the computer room construction information;
[0020] Based on the geographic information around the computer room, obtain the location information of the disaster risk area around the computer room;
[0021] Determine the disaster risk assessment benchmark value based on the computer room location information, deployment target location information and computer room construction information;
[0022] Determine the disaster risk assessment fluctuation value through the location information of the disaster risk area around the computer room, the location information of the computer room, and the construction information of the computer room;
[0023] Based on the disaster risk assessment baseline value and the disaster risk assessment fluctuation value, obtain the disaster risk index of the computer room location;
[0024] Determine the wireless sensor specifications based on the disaster risk index of the computer room location;
[0025] Deploy the wireless sensor network based on the location information of the computer room and the specification information of the wireless sensors.
[0026] In an optional embodiment, the area division of the equipment in the computer room based on the equipment location information and the basic information of the equipment in the computer room to obtain the area information of the equipment in the computer room specifically includes:
[0027] Based on the basic information of the equipment in the computer room, obtain the equipment name information, equipment type information and equipment configuration information of the computer room;
[0028] According to the equipment type information of the computer room, obtain the equipment environment requirement information and the equipment power requirement information of the computer room;
[0029] Obtain the equipment operation fluctuation function of the equipment room through the equipment type information, equipment environment requirement information and equipment power requirement information of the equipment room;
[0030] Obtain the equipment correlation index of the computer room according to the equipment operation fluctuation function and equipment configuration information of the computer room;
[0031] Based on the equipment name information and equipment correlation index of the computer room, the correlation analysis of the equipment in the computer room is carried out;
[0032] Based on the results of correlation analysis, the equipment in the computer room is divided into regions to obtain the regional information of the equipment in the computer room;
[0033] The calculation formula of the equipment room equipment association index is:
[0034]
[0035] In the formula, C kc (t) is the equipment correlation index between the kth and cth equipment rooms, f(B k ,B c ,t) is the equipment room equipment operation fluctuation function between the kth and cth equipment rooms, B k is the operating fluctuation value of the kth equipment room equipment, B c is the operating fluctuation value of the equipment in the cth computer room, B l is the operating fluctuation value of the equipment in the lth computer room, β kc is the weight of the operating fluctuation value of the kth and cth equipment rooms, α kc is the error term of the operating fluctuation value of the kth and cth equipment rooms, θ kc is the attenuation factor of the operating fluctuation value of the kth and cth equipment rooms, M kl is the impact degree between the kth and lth equipment rooms, M kc is the impact value between the kth and cth equipment rooms, C k(t) is the operation fluctuation impact index of the kth equipment in the computer room after being affected by the lth equipment in the computer room, and m is the total number of equipment in the computer room.
[0036] In an optional embodiment, the step of combining the equipment area environment information and the basic information of the equipment in the computer room to obtain the equipment area environment impact coefficient specifically includes:
[0037] Collect historical equipment area environment information and historical computer room equipment basic information;
[0038] Based on the equipment operation fluctuation function of the computer room, historical equipment regional environment information and historical computer room equipment basic information, obtain environmental influencing factors and historical computer room equipment operation status information;
[0039] Based on the historical equipment room operation status information, a spectrum diagram of the historical equipment room operation status is constructed;
[0040] Through the historical equipment room operation status information, the fault node is marked in the historical equipment room equipment operation status spectrum diagram, and the fault area is intercepted to obtain the historical equipment room equipment fault operation status spectrum diagram;
[0041] Obtain historical equipment environment spectrum diagram based on historical equipment area environment information and environmental influencing factors;
[0042] Extract the operation timestamp and regional environment timestamp of the historical equipment room operation status information and the historical equipment regional environment information;
[0043] By comparing the operation timestamp and the regional environment timestamp, the historical equipment environment impact spectrum diagram that caused the historical equipment room equipment failure is intercepted from the historical equipment environment spectrum diagram;
[0044] The equipment area environment impact function is constructed through the historical equipment room equipment fault operation status spectrum diagram, historical equipment environment impact spectrum diagram, equipment room equipment name information and operation fluctuation impact index;
[0045] Substitute the real-time collected equipment area environment information and the basic information of the equipment in the computer room into the equipment area environment impact function to obtain the equipment area environment impact coefficient;
[0046] Among them, the expression formula of the equipment area environment impact function is:
[0047]
[0048] In the formula, E impact (t) is the initial environmental impact coefficient of the equipment area at time t, E fast (t) is the equipment area environmental impact coefficient at the tth moment, C k (t) is the operation fluctuation impact index of the kth equipment room after being affected by the lth equipment room, w iis the weight of the i-th environmental factor, E i is the i-th environmental factor, f i is the influence function of the i-th environmental factor, f ij is the interaction function between the i-th and j-th environmental factors, h i is the environmental adaptation function of the equipment in the computer room to the i-th environmental factor, γ i ,∈ i and δ i are the weights of the impact of the i-th environmental factor on the equipment in the computer room, ω i is the frequency of periodic changes of the i-th environmental factor, α ij is the weight coefficient of the interaction function between the i-th and j-th environmental factors, θ ij is the attenuation factor of the interaction function between the i-th and j-th environmental factors, β i is the error value of the environmental adaptation function of the equipment room to the i-th environmental factor, λ i and μ i is the sensitivity of the equipment in the computer room under the influence of the i-th environmental factor and the degree of equipment aging, and n is the total number of environmental factors.
[0049] In an optional embodiment, the operating status of the equipment in different areas of the computer room is evaluated through the operating status database, the equipment area environmental impact coefficient and the equipment area information of the computer room to obtain the regional equipment standard operating status quality index matrix, which specifically includes:
[0050] Based on the equipment area information of the computer room, obtain the corresponding equipment location information of the computer room equipment area;
[0051] Based on the corresponding computer room equipment location information in the computer room equipment area, a corresponding regional three-dimensional graphic is constructed;
[0052] Obtain the geometric center of the regional three-dimensional figure, and determine the center position of the equipment in the computer room by using the geometric center and the equipment position information in the computer room;
[0053] Connect the geometric center and the center position of the equipment in the computer room to obtain the environmental impact sensitive distance corresponding to the equipment in the equipment area of the computer room;
[0054] Based on the operation status database, extract the operation status information of the equipment in the computer room in sequence;
[0055] Using the equipment running status information of the computer room, obtaining the actual running status information of the equipment in the computer room, and extracting the running status characteristic indicators in the actual running status information, wherein the running status characteristic indicators include equipment running parameters, hardware health indicators and software status indicators;
[0056] Obtain the basic operating status quality index of the equipment in the computer room through the operating status characteristic indicators corresponding to the equipment in the computer room;
[0057] Obtain the basic operating status quality index matrix of the equipment in the computer room by using the environmental impact sensitive distance and the basic operating status quality index of the equipment in the computer room;
[0058] According to the equipment area information of the computer room, the basic operating status quality index matrix of the equipment in the computer room and the equipment area environmental impact coefficient, the standard operating status quality index matrix of the regional equipment is obtained;
[0059] The calculation formula of the basic operating status quality index of the equipment room is:
[0060]
[0061] In the formula, Q' r is the basic operating status quality index of the equipment in the rth equipment room, T x is the xth device operating parameter, H x is the xth hardware health indicator, S x is the xth software status indicator, R time is the time decay value, and are the weight coefficients of device operation parameters, hardware health indicators and software status indicators respectively, σ1, σ2 and σ3 are the overall weight coefficients of device operation parameters, hardware health indicators and software status indicators respectively, and σ4 is the weight coefficient of time decay value;
[0062] The expression formula of the basic operating status quality index matrix of the equipment room is:
[0063]
[0064] In the formula, Z' y represents the basic operating status quality index matrix of the equipment in the computer room, Q'1 represents the basic operating status quality index of the equipment in the first computer room, Q' r represents the basic operating status quality index of the equipment in the rth equipment room, J max Indicates the maximum environmental impact sensitive distance, J1 indicates the environmental impact sensitive distance corresponding to the first equipment room equipment, J r Indicates the environmental impact sensitive distance corresponding to the equipment in the rth computer room;
[0065] The expression formula of the regional equipment standard operating status quality index matrix is:
[0066]
[0067] In the formula, Z” yrepresents the basic operating status quality index matrix of the equipment room, Q”1 represents the basic operating status quality index of the first equipment room in the equipment room area, Q” v The basic operating status quality index of the vth equipment in the equipment room area, J max Indicates the maximum environmental impact sensitive distance in the equipment room area, J'1 indicates the environmental impact sensitive distance corresponding to the first equipment room in the equipment room area, and J' v Indicates the environmental impact sensitive distance corresponding to the vth equipment room device in the equipment room area.
[0068] In an optional embodiment, the evaluating the operating status of the computer room based on the regional equipment standard operating status quality index matrix to obtain the operating status information of the computer room specifically includes:
[0069] Based on historical equipment regional environment information and historical equipment room equipment basic information, set regional equipment operation status quality index threshold, equipment room operation status quality index threshold and regional impact weight coefficient;
[0070] The product value of the regional equipment standard operation status quality index matrix and the corresponding regional impact weight coefficient is used as the regional equipment operation status index;
[0071] According to the equipment area information of the computer room, the regional equipment operation status indicators corresponding to all areas in the computer room are added together to obtain the computer room operation status quality index;
[0072] Based on the computer room operation status quality index and the computer room operation status quality index threshold, the computer room operation status quality index is evaluated to obtain first evaluation information;
[0073] According to the first evaluation information and the regional equipment operation status quality index threshold, the regional equipment operation status indicator is evaluated to obtain second evaluation information;
[0074] The operation status of the computer room is evaluated according to the first evaluation information and the second evaluation information to obtain the operation status information of the computer room.
[0075] Furthermore, a device for monitoring the operation status of an IDC computer room is proposed, which is used to implement any of the monitoring methods described above, including:
[0076] A central monitoring module, which is used to obtain the location information of the computer room and deploy a wireless sensor network based on the location information of the computer room;
[0077] A sensor module, wherein the sensor module is used to collect equipment area environment information based on a wireless sensor network and equipment area information of a computer room;
[0078] A data processing module, which is used to receive the data and information sent by the acquisition module, and transmit the data and information to the calculation unit for calculation, obtain the equipment area environmental impact coefficient and the regional equipment standard operation status quality index matrix, set early warning information through the computer room operation status information, and send the early warning information to the central monitoring module;
[0079] An evaluation module, which is used to evaluate the operating status of equipment in different areas of the computer room through the operating status database, the equipment area environmental impact coefficient and the equipment area information of the computer room, and evaluate the operating status of the computer room based on the regional equipment standard operating status quality index matrix to obtain the operating status information of the computer room;
[0080] The display module is used to display the monitoring process and results of the central module.
[0081] In an optional embodiment, the central monitoring module includes:
[0082] An acquisition unit, the acquisition unit is used to acquire the location information of the computer room;
[0083] A deployment unit, the deployment unit is used to deploy a wireless sensor network based on the location information of the computer room;
[0084] The alarm unit is used to receive the early warning information sent by the data processing module and determine whether to send the alarm information.
[0085] In an optional embodiment, the data processing module includes:
[0086] A receiving unit, the receiving unit is used to receive data and information sent by the acquisition module, and transmit the data and information to the calculation unit for calculation;
[0087] A calculation unit, the calculation unit is used to obtain the equipment regional environmental impact coefficient and the regional equipment standard operation status quality index matrix;
[0088] The early warning unit is used to set early warning information through the operating status information of the computer room, and send the early warning information to the central monitoring module.
[0089] In an optional embodiment, the evaluation module includes:
[0090] A first evaluation unit, the first evaluation unit is used to evaluate the operating status of equipment in different areas of the computer room through the operating status database, the equipment area environmental impact coefficient and the equipment area information of the computer room;
[0091] The second evaluation unit is used to evaluate the operation status of the computer room based on the regional equipment standard operation status quality index matrix to obtain the operation status information of the computer room.
[0092] Compared with the prior art, the present invention has the following beneficial effects:
[0093] This solution proposes a method and device for monitoring the operating status of an IDC computer room. By acquiring geographic information and disaster risk data around the computer room, the disaster risk index of the computer room is evaluated, and the specifications and deployment of sensors are determined. By comprehensively considering geographic information, historical disaster data, and natural environmental factors, the disaster risk of the location of the computer room can be more accurately evaluated, so as to deploy an accurate and reliable wireless sensor network and improve the accuracy and reliability of the monitoring device in monitoring the operating status of the IDC computer room.
[0094] This solution proposes an IDC computer room operation status monitoring method and device, which obtains basic information of the equipment, combines the operation fluctuation function of the equipment and the correlation between the equipment, divides the equipment area, and performs regional management of the equipment room equipment based on the mutual influence, fluctuation function and configuration between the equipment, so as to ensure that the operation status of the equipment in the area is within a reasonable range;
[0095] This solution proposes an IDC computer room operation status monitoring method and device. Through the analysis of historical equipment operation status and environmental data, an equipment area environmental impact function is constructed to evaluate the impact of environmental factors on equipment. The real-time environmental data is combined with the equipment operation status to dynamically calculate the equipment area environmental impact coefficient, thereby realizing dynamic evaluation of the equipment operation status. Based on the actual operation status of the equipment and combined with the environmental impact coefficient, the operation status quality index matrix of the equipment in each area is calculated to reflect the health of the equipment operation status. Through comprehensive analysis of the equipment area quality index matrix, the overall operation status information of the computer room is obtained, and then the health of the computer room is evaluated to avoid the impact of the environment and the equipment related to the computer room on the sensitive equipment in the computer room, thereby affecting the accuracy of monitoring. BRIEF DESCRIPTION OF THE DRAWINGS
[0096] Figure 1 A flow chart of an IDC computer room operation status monitoring method proposed by the present invention;
[0097] Figure 2 A deployment flow chart of a wireless sensor network in the present invention;
[0098] Figure 3 A flowchart for obtaining the equipment area environmental impact coefficient in the present invention;
[0099] Figure 4 The present invention provides a system framework diagram of an IDC computer room operation status monitoring device. DETAILED DESCRIPTION
[0100] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.
[0101] Reference Figure 1 - Figure 4 As shown, a method for monitoring the operating status of an IDC computer room includes:
[0102] Obtain the location information of the computer room and deploy a wireless sensor network based on the location information of the computer room;
[0103] Acquire the equipment information of the computer room based on the location information of the computer room, where the equipment information of the computer room includes the location information of the equipment in the computer room and the basic information of the equipment in the computer room;
[0104] Based on the location information and basic information of the equipment in the computer room, the equipment in the computer room is divided into regions to obtain the regional information of the equipment in the computer room;
[0105] According to the wireless sensor network, the equipment area environment information is collected with the equipment area information of the computer room;
[0106] Combine the equipment area environmental information and the basic information of the equipment in the computer room to obtain the equipment area environmental impact coefficient;
[0107] According to the equipment area information of the computer room, the operation status information of the equipment in the computer room is collected respectively, and the operation status information of the equipment in the computer room is stored in the operation status database;
[0108] Through the operation status database, equipment area environmental impact coefficient and equipment area information of the computer room, the operation status of the equipment in different areas of the computer room is evaluated to obtain the regional equipment standard operation status quality index matrix;
[0109] Based on the regional equipment standard operating status quality index matrix, the operating status of the computer room is evaluated to obtain the operating status information of the computer room;
[0110] Set early warning information based on the computer room operation status information.
[0111] Furthermore, the location information of the computer room is obtained, and a wireless sensor network is deployed based on the location information of the computer room, specifically including:
[0112] Determine the deployment target area information, and obtain the map information of the deployment target area and the deployment target location information through the map tool;
[0113] Obtain the location information and quantity information of the computer room according to the map information;
[0114] Based on the location information and number of computer rooms, obtain the geographic information around the computer room and the computer room construction information;
[0115] Based on the geographic information around the computer room, obtain the location information of the disaster risk area around the computer room;
[0116] Determine the disaster risk assessment benchmark value based on the computer room location information, deployment target location information and computer room construction information;
[0117] Determine the disaster risk assessment fluctuation value through the location information of the disaster risk area around the computer room, the location information of the computer room, and the construction information of the computer room;
[0118] Based on the disaster risk assessment baseline value and the disaster risk assessment fluctuation value, obtain the disaster risk index of the computer room location;
[0119] Determine the wireless sensor specifications based on the disaster risk index of the computer room location;
[0120] Deploy the wireless sensor network based on the location information of the computer room and the specification information of the wireless sensors.
[0121] Specifically, the location information of the computer room is obtained through GPS positioning and GIS system, which can accurately determine the geographical coordinates, surrounding environment and related risk factors of the computer room. The deployment target area information is the regional scope information of the IDC computer room to be deployed. The disaster risk assessment benchmark value is determined based on the computer room location information, deployment target location information and computer room construction information. The benchmark value is numerically equal to the product of the probability of disaster occurrence, the degree of disaster impact and the protection capability. The probability of disaster occurrence is the historical frequency of the disaster type (including earthquakes, floods, etc.) in the area where the computer room is located. The degree of disaster impact is the potential impact of the disaster type on the computer room. The protection capability is the disaster protection capability of the computer room building itself. The disaster risk assessment fluctuation value is determined through the location information of the disaster risk area around the computer room, the location information of the computer room and the construction information of the computer room. The disaster risk assessment fluctuation value is the product of the environmental impact factor, the probability of disaster occurrence and the risk variation coefficient. The environmental impact factor is the impact of the external environment (such as climate, geology, weather, etc.) on the disaster risk of the computer room. The probability of disaster occurrence is the probability of a disaster caused by a certain environmental factor. The disaster variation coefficient is the fluctuation range of disaster risk caused by changes in different external environments, which is obtained by historical data regression. Based on the disaster risk assessment benchmark value and the disaster risk assessment fluctuation value, the disaster risk index of the computer room location is obtained. The disaster risk index of the computer room location is the weighted value of the disaster risk assessment benchmark value, the disaster risk assessment fluctuation value and the regional impact weight coefficient. The regional impact weight coefficient is determined according to actual conditions and priorities.
[0122] According to the disaster risk index of the computer room location, the wireless sensor specification information is determined. It can be understood that the specifications and configuration of the wireless sensor are determined according to the disaster risk index of the computer room location. Wireless sensors are used to monitor disaster warnings, environmental changes, computer room equipment status, etc., to help track the safety status of the computer room in real time. The selection of sensors should be configured according to the level of the disaster risk index, the complexity of the environment, and the type of disasters that the sensor needs to monitor. For example, low disaster risk index (0-0.1): For areas with low disaster risk, the functional requirements of the sensor can be relatively basic, and the monitoring objects are mainly concentrated on the computer room environmental conditions (such as temperature, humidity, etc.) and equipment operation status. Medium disaster risk index (0.1-0.3): For areas with medium disaster risk, sensors need to have stronger disaster warning and protection capabilities, especially for environmental factors that may affect the computer room, such as floods, strong winds, and climate change. High disaster risk index (index value 0.3-0.5 or higher), for computer rooms with high disaster risks, especially those located in earthquake zones, flood-prone areas, or extreme climate conditions, sensors should have higher accuracy, reliability, and disaster warning capabilities, and be able to monitor disasters in real time and provide multi-dimensional data support.
[0123] Furthermore, based on the location information and basic information of the equipment in the computer room, the equipment in the computer room is divided into regions to obtain the regional information of the equipment in the computer room, which specifically includes:
[0124] Based on the basic information of the equipment in the computer room, obtain the equipment name information, equipment type information and equipment configuration information of the computer room;
[0125] According to the equipment type information of the computer room, obtain the equipment environment requirement information and the equipment power requirement information of the computer room;
[0126] Obtain the equipment operation fluctuation function of the equipment room through the equipment type information, equipment environment requirement information and equipment power requirement information of the equipment room;
[0127] Obtain the equipment correlation index of the computer room according to the equipment operation fluctuation function and equipment configuration information of the computer room;
[0128] Based on the equipment name information and equipment correlation index of the computer room, the correlation analysis of the equipment in the computer room is carried out;
[0129] Based on the results of correlation analysis, the equipment in the computer room is divided into regions to obtain the regional information of the equipment in the computer room;
[0130] The calculation formula of the equipment room correlation index is:
[0131]
[0132] In the formula, C kc(t) is the equipment correlation index between the kth and cth equipment rooms, f(B k , B c , t) is the equipment room equipment operation fluctuation function between the kth and cth equipment rooms, B k is the operating fluctuation value of the kth equipment room equipment, B c is the operating fluctuation value of the equipment in the cth computer room, B l is the operating fluctuation value of the equipment in the lth computer room, β kc is the weight of the operating fluctuation value of the kth and cth equipment rooms, α kc is the error term of the operating fluctuation value of the kth and cth equipment rooms, θ kc is the attenuation factor of the operating fluctuation value of the kth and cth equipment rooms, M kl is the impact degree between the kth and lth equipment rooms, M kc is the impact value between the kth and cth equipment rooms, C k (t) is the operation fluctuation impact index of the kth equipment in the computer room after being affected by the lth equipment in the computer room, and m is the total number of equipment in the computer room.
[0133] Specifically, the equipment operation fluctuation function of the computer room is a mathematical model used to describe the time-varying operation status of the equipment in the computer room (such as servers, air conditioners, power supply systems, etc.). It can help monitor and analyze the performance fluctuations of the equipment, predict potential equipment failures or performance degradation, and optimize equipment management and maintenance strategies. The operation fluctuation value of the equipment in the computer room is the difference between the equipment in the computer room and the normal operation parameters or curves during operation. For example, the current curve generated by a computer room device under normal operation is obtained in the theoretical state. If the equipment load is stable and the power supply is stable, the current curve is a stable sine waveform, but in the actual operation process, it will fluctuate due to various factors, thus becoming complicated and distorted. Therefore, the operation fluctuation value of the equipment in the computer room is the sum of the differences between the actual operation current curve of the equipment in the computer room and the current curve in the theoretical state in each unit time from 0 to t. The attenuation factor of the operating fluctuation value of the computer room equipment. During the actual operation of the computer room equipment, the computer room monitoring device will configure the computer room equipment or adjust the environment inside the computer room according to the basic operating status quality index of the computer room equipment generated during the operation of the computer room equipment, so that the operating fluctuation value of the computer room equipment will gradually attenuate, and the attenuation amplitude value is the attenuation factor of the operating fluctuation value of the computer room equipment.
[0134] Understandably, M kl The calculation formula for the influence degree between the kth and lth equipment rooms is:
[0135]
[0136] Where, Tk (t) represents the state quantization value of the kth device after time t, T l (t) represents the state quantization value of the lth device after time t, f k and f l represents the function of the state quantization value of device k and device l changing over time, T k is the temperature value of the kth device at time t, T l is the temperature value of the lth device at time t, DIS k is the configuration quantization value of the kth device at time t, LOAD k is the quantized value of the load information of the kth device at time t, DIS l is the configuration quantization value of the lth device at time t, LOAD l is the quantized value of the load information of the lth device at time t, T env is the ambient temperature at time t, α k and α l are the heat dissipation coefficients of device k and device l, β k and β l are the heat exchange coefficients between device k and device l, P k and P l is the heat generation rate of device k and device l, P k (L k ) and P l (L l ) represents the power consumption of device k and device l under different load conditions, γ k and γ l represents the adjustment coefficient of device k and device l configuration to temperature, δ k and δ l represents the autoregressive coefficient of the load, capturing the historical impact of the load, ∈ k and ∈ l Indicates the influence coefficient of temperature on load, ζ k and l Indicates other factors affecting the load, M kl is the impact degree value between the kth and lth equipment rooms.
[0137] Furthermore, T k(t) represents the state quantification value of the kth device after time t. The state quantification value of a device after a certain time usually refers to the expected state of the device at a future time point calculated by a mathematical model, monitoring system or algorithm. These state quantification values are usually used to describe multiple dimensions such as the health status, performance, energy efficiency, and fault warning of the device. The state quantification value of the device can be defined according to the specific application scenario, usually including the quantification value of the device performance status (such as power consumption, operating speed, load, efficiency, etc.). The quantification value of the device health status is usually related to the degree of wear, fault prediction, and fault mode of the device. The health status quantification value usually includes temperature, vibration, etc. k and f l The function representing the change of the state quantization value of device k and device l over time can be set according to the changes of different factors (such as load, ambient temperature, etc.). k The configuration quantization value of the kth device at time t is the configuration state of the device at a specific moment and its related numerical performance. The configuration quantization value usually describes the specific settings, working parameters, resource allocation, etc. of the device at that moment. The heat dissipation coefficient is the rate at which the device temperature responds to the ambient temperature. The heat exchange coefficient is used to describe the efficiency of heat conduction between devices. The configuration adjustment coefficient for temperature includes the cooling system efficiency and the temperature influence coefficient on the load (i.e., temperature changes will affect the device load). k and l Represents other factors that affect load, such as external task load.
[0138] Furthermore, the equipment area environmental impact coefficient is obtained by combining the equipment area environmental information and the basic information of the equipment in the computer room, including:
[0139] Collect historical equipment area environment information and historical computer room equipment basic information;
[0140] Based on the equipment operation fluctuation function of the computer room, historical equipment regional environment information and historical computer room equipment basic information, obtain environmental influencing factors and historical computer room equipment operation status information;
[0141] Based on the historical equipment room operation status information, a spectrum diagram of the historical equipment room operation status is constructed;
[0142] Through the historical equipment room operation status information, the fault node is marked in the historical equipment room equipment operation status spectrum diagram, and the fault area is intercepted to obtain the historical equipment room equipment fault operation status spectrum diagram;
[0143] Obtain historical equipment environment spectrum diagram based on historical equipment area environment information and environmental influencing factors;
[0144] Extract the operation timestamp and regional environment timestamp of the historical equipment room operation status information and the historical equipment regional environment information;
[0145] By comparing the operation timestamp and the regional environment timestamp, the historical equipment environment impact spectrum diagram that caused the historical equipment room equipment failure is intercepted from the historical equipment environment spectrum diagram;
[0146] The equipment area environment impact function is constructed through the historical equipment room equipment fault operation status spectrum diagram, historical equipment environment impact spectrum diagram, equipment room equipment name information and operation fluctuation impact index;
[0147] Substitute the real-time collected equipment area environment information and the basic information of the equipment in the computer room into the equipment area environment impact function to obtain the equipment area environment impact coefficient;
[0148] Among them, the expression formula of the equipment area environment impact function is:
[0149]
[0150] In the formula, E impact (t) is the initial environmental impact coefficient of the equipment area at time t, E fast (t) is the equipment area environmental impact coefficient at the tth moment, C k (t) is the operation fluctuation impact index of the kth equipment room after being affected by the lth equipment room, w i is the weight of the i-th environmental factor, E i is the i-th environmental factor, fi is the influence function of the i-th environmental factor, f ij is the interaction function between the i-th and j-th environmental factors, h i is the environmental adaptation function of the equipment in the computer room to the i-th environmental factor, γ i ,∈ i and δ i are the weights of the impact of the i-th environmental factor on the equipment in the computer room, ω i is the frequency of periodic changes of the i-th environmental factor, α ij is the weight coefficient of the interaction function between the i-th and j-th environmental factors, θ ij is the attenuation factor of the interaction function between the i-th and j-th environmental factors, β i is the error value of the environmental adaptation function of the equipment room to the i-th environmental factor, λ i and μ i is the sensitivity of the equipment in the computer room under the influence of the i-th environmental factor and the degree of equipment aging, and n is the total number of environmental factors.
[0151] Specifically, the influence function of environmental factors is a mathematical model or function that describes how environmental factors (such as temperature, humidity, electromagnetic interference, air circulation, etc.) affect the performance and working state of equipment in the computer room. The environmental adaptation function of equipment in the computer room to environmental factors describes how the equipment adjusts its working parameters (such as fan speed, power consumption, etc.) according to environmental changes to ensure the optimal working state and long-term stability of the equipment. The periodic changes of environmental factors usually refer to those external environmental changes that show regular fluctuations. For example, temperature, humidity, air quality, etc. may be affected by seasonal changes, day and night changes, etc. The frequency of periodic changes is usually expressed in time units (such as hours, days, months, years). The weight coefficient of the interaction function of environmental factors describes the intensity of interaction between various environmental factors. For example, temperature and humidity may jointly affect the performance of equipment. The interaction effect of some environmental factors may be more significant than that of a single factor. The interaction function can be established through multiple regression analysis or machine learning models. The attenuation factor describes how the intensity of the influence of environmental factors in time or space decays over time or distance. In some cases, the interaction effect of environmental factors weakens over time, equipment distance, or other conditions. The attenuation factor is usually used to describe this weakening effect.
[0152] Furthermore, the operating status of the equipment in different areas of the computer room is evaluated through the operating status database, the equipment area environmental impact coefficient and the equipment area information of the computer room, and the regional equipment standard operating status quality index matrix is obtained, which specifically includes:
[0153] Based on the equipment area information of the computer room, obtain the corresponding equipment location information of the computer room equipment area;
[0154] Based on the corresponding computer room equipment location information in the computer room equipment area, a corresponding regional three-dimensional graphic is constructed;
[0155] Obtain the geometric center of the regional three-dimensional figure, and determine the center position of the equipment in the computer room by using the geometric center and the equipment position information in the computer room;
[0156] Connect the geometric center and the center position of the equipment in the computer room to obtain the environmental impact sensitive distance corresponding to the equipment in the equipment area of the computer room;
[0157] Based on the operation status database, extract the operation status information of the equipment in the computer room in sequence;
[0158] Using the equipment running status information of the computer room, the actual running status information of the equipment in the computer room is obtained, and the running status characteristic indicators in the actual running status information are extracted. The running status characteristic indicators include equipment running parameters, hardware health indicators and software status indicators;
[0159] Obtain the basic operating status quality index of the equipment in the computer room through the operating status characteristic indicators corresponding to the equipment in the computer room;
[0160] Obtain the basic operating status quality index matrix of the equipment in the computer room by using the environmental impact sensitive distance and the basic operating status quality index of the equipment in the computer room;
[0161] According to the equipment area information of the computer room, the basic operating status quality index matrix of the equipment in the computer room and the equipment area environmental impact coefficient, the standard operating status quality index matrix of the regional equipment is obtained;
[0162] Among them, the calculation formula of the basic operating status quality index of the equipment room is:
[0163]
[0164] In the formula, Q' r is the basic operating status quality index of the equipment in the rth equipment room, T x is the xth device operating parameter, H x is the xth hardware health indicator, S x is the xth software status indicator, R time is the time decay value, and are the weight coefficients of device operation parameters, hardware health indicators and software status indicators respectively, σ1, σ2 and σ3 are the overall weight coefficients of device operation parameters, hardware health indicators and software status indicators respectively, and σ4 is the weight coefficient of time decay value;
[0165] The expression formula of the basic operating status quality index matrix of the equipment room is:
[0166]
[0167] In the formula, Z' y represents the basic operating status quality index matrix of the equipment in the computer room, Q'1 represents the basic operating status quality index of the equipment in the first computer room, Q' r represents the basic operating status quality index of the equipment in the rth equipment room, J max Indicates the maximum environmental impact sensitive distance, J1 indicates the environmental impact sensitive distance corresponding to the first equipment room equipment, J r Indicates the environmental impact sensitive distance corresponding to the equipment in the rth computer room;
[0168] The expression formula of the regional equipment standard operating status quality index matrix is:
[0169]
[0170] In the formula, Z” yrepresents the basic operating status quality index matrix of the equipment room, Q”1 represents the basic operating status quality index of the first equipment room in the equipment room area, Q” v The basic operating status quality index of the vth equipment in the equipment room area, J max Indicates the maximum environmental impact sensitive distance in the equipment room area, J'1 indicates the environmental impact sensitive distance corresponding to the first equipment room in the equipment room area, and J' v Indicates the environmental impact sensitive distance corresponding to the vth equipment room device in the equipment room area.
[0171] Furthermore, based on the regional equipment standard operation status quality index matrix, the operation status of the computer room is evaluated to obtain the operation status information of the computer room, including:
[0172] Based on historical equipment regional environment information and historical equipment room equipment basic information, set regional equipment operation status quality index threshold, equipment room operation status quality index threshold and regional impact weight coefficient;
[0173] The product value of the regional equipment standard operation status quality index matrix and the corresponding regional impact weight coefficient is used as the regional equipment operation status index;
[0174] According to the equipment area information of the computer room, the regional equipment operation status indicators corresponding to all areas in the computer room are added together to obtain the computer room operation status quality index;
[0175] Based on the computer room operation status quality index and the computer room operation status quality index threshold, the computer room operation status quality index is evaluated to obtain first evaluation information;
[0176] According to the first evaluation information and the regional equipment operation status quality index threshold, the regional equipment operation status indicator is evaluated to obtain second evaluation information;
[0177] The operation status of the computer room is evaluated according to the first evaluation information and the second evaluation information to obtain the operation status information of the computer room.
[0178] Furthermore, a device for monitoring the operation status of an IDC computer room is proposed, which is used to implement any of the monitoring methods described above, including:
[0179] Central monitoring module: The central monitoring module is used to obtain the location information of the computer room and deploy a wireless sensor network based on the location information of the computer room;
[0180] The sensor module is used to collect equipment area environment information based on the wireless sensor network and the equipment area information of the computer room;
[0181] Data processing module, the data processing module is used to receive the data and information sent by the acquisition module, and transmit the data and information to the calculation unit for calculation, obtain the equipment area environmental impact coefficient and the regional equipment standard operation status quality index matrix, set the early warning information through the computer room operation status information, and send the early warning information to the central monitoring module;
[0182] An evaluation module is used to evaluate the operation status of equipment in different areas of the computer room through the operation status database, the equipment area environmental impact coefficient and the equipment area information of the computer room, and to evaluate the operation status of the computer room based on the regional equipment standard operation status quality index matrix to obtain the operation status information of the computer room;
[0183] Display module: The display module is used to display the monitoring process and results of the central module.
[0184] Furthermore, the central monitoring module includes:
[0185] An acquisition unit, the acquisition unit is used to acquire the location information of the computer room;
[0186] A deployment unit, the deployment unit is used to deploy a wireless sensor network based on the location information of the computer room;
[0187] The alarm unit is used to receive the early warning information sent by the data processing module and determine whether to send the alarm information.
[0188] Furthermore, the data processing module includes:
[0189] A receiving unit, the receiving unit is used to receive data and information sent by the acquisition module, and transmit the data and information to the calculation unit for calculation;
[0190] A calculation unit, the calculation unit is used to obtain the equipment regional environmental impact coefficient and the regional equipment standard operation status quality index matrix;
[0191] The early warning unit is used to set early warning information through the operating status information of the computer room and send the early warning information to the central monitoring module.
[0192] Furthermore, the assessment modules include:
[0193] A first evaluation unit, the first evaluation unit is used to evaluate the operation status of the equipment in different areas of the computer room through the operation status database, the equipment area environmental impact coefficient and the equipment area information of the computer room;
[0194] The second evaluation unit is used to evaluate the operation status of the computer room based on the regional equipment standard operation status quality index matrix to obtain the operation status information of the computer room.
[0195] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.
Claims
1. A method for monitoring the operating status of an IDC computer room, characterized in that: include: Obtain the location information of the computer room and deploy a wireless sensor network based on the location information of the computer room; Acquire computer room equipment information based on the computer room location information, wherein the computer room equipment information includes computer room equipment location information and computer room equipment basic information; Based on the location information and basic information of the equipment in the computer room, the equipment in the computer room is divided into regions to obtain the regional information of the equipment in the computer room; According to the wireless sensor network, the equipment area environment information is collected with the equipment area information of the computer room; Combine the equipment area environmental information and the basic information of the equipment in the computer room to obtain the equipment area environmental impact coefficient; According to the equipment area information of the computer room, the operation status information of the equipment in the computer room is collected respectively, and the operation status information of the equipment in the computer room is stored in the operation status database; Through the operation status database, equipment area environmental impact coefficient and equipment area information of the computer room, the operation status of the equipment in different areas of the computer room is evaluated to obtain the regional equipment standard operation status quality index matrix; Based on the regional equipment standard operating status quality index matrix, the operating status of the computer room is evaluated to obtain the operating status information of the computer room; Set early warning information based on the computer room operation status information.
2. The IDC room operation status monitoring method according to claim 1, characterized in that: The obtaining of the location information of the computer room and the deployment of the wireless sensor network based on the location information of the computer room specifically include: Determine the deployment target area information, and obtain the map information of the deployment target area and the deployment target location information through the map tool; Obtain the location information and quantity information of the computer room according to the map information; Based on the location information and number of computer rooms, obtain the geographic information around the computer room and the computer room construction information; Based on the geographic information around the computer room, obtain the location information of the disaster risk area around the computer room; Determine the disaster risk assessment benchmark value based on the computer room location information, deployment target location information and computer room construction information; Determine the disaster risk assessment fluctuation value through the location information of the disaster risk area around the computer room, the location information of the computer room, and the construction information of the computer room; Based on the disaster risk assessment baseline value and the disaster risk assessment fluctuation value, obtain the disaster risk index of the computer room location; Determine the wireless sensor specifications based on the disaster risk index of the computer room location; Deploy the wireless sensor network based on the location information of the computer room and the specification information of the wireless sensors.
3. The IDC room operation status monitoring method according to claim 2, characterized in that: The computer room equipment is divided into regions based on the computer room equipment location information and the computer room equipment basic information to obtain the computer room equipment region information, specifically including: Based on the basic information of the equipment in the computer room, obtain the equipment name information, equipment type information and equipment configuration information of the computer room; According to the equipment type information of the computer room, obtain the equipment environment requirement information and the equipment power requirement information of the computer room; Obtain the equipment operation fluctuation function of the equipment room through the equipment type information, equipment environment requirement information and equipment power requirement information of the equipment room; Obtain the equipment correlation index of the computer room according to the equipment operation fluctuation function and equipment configuration information of the computer room; Based on the equipment name information and equipment correlation index of the computer room, the correlation analysis of the equipment in the computer room is carried out; Based on the results of correlation analysis, the equipment in the computer room is divided into regions to obtain the regional information of the equipment in the computer room; The calculation formula of the equipment room equipment association index is: In the formula, C kc (t) is the equipment correlation index between the kth and cth equipment rooms, f(B k ,B c ,t) is the equipment room equipment operation fluctuation function between the kth and cth equipment rooms, B k is the operating fluctuation value of the kth equipment room equipment, B c is the operating fluctuation value of the equipment in the cth computer room, B l is the operating fluctuation value of the equipment in the lth computer room, β kc is the weight of the operating fluctuation value of the kth and cth equipment rooms, α kc is the error term of the operating fluctuation value of the kth and cth equipment rooms, θ kc is the attenuation factor of the operating fluctuation value of the kth and cth equipment rooms, M kl is the impact degree between the kth and lth equipment rooms, M kc is the impact value between the kth and cth equipment rooms, C k (t) is the operation fluctuation impact index of the kth equipment in the computer room after being affected by the lth equipment in the computer room, and m is the total number of equipment in the computer room.
4. The IDC room operation status monitoring method according to claim 3 is characterized in that: The step of obtaining the equipment area environmental impact coefficient by combining the equipment area environmental information and the basic information of the equipment in the computer room specifically includes: Collect historical equipment area environment information and historical computer room equipment basic information; Based on the equipment operation fluctuation function of the computer room, historical equipment regional environment information and historical computer room equipment basic information, obtain environmental influencing factors and historical computer room equipment operation status information; Based on the historical equipment room operation status information, a spectrum diagram of the historical equipment room operation status is constructed; Through the historical equipment room operation status information, the fault node is marked in the historical equipment room equipment operation status spectrum diagram, and the fault area is intercepted to obtain the historical equipment room equipment fault operation status spectrum diagram; Obtain historical equipment environment spectrum diagram based on historical equipment area environment information and environmental influencing factors; Extract the operation timestamp and regional environment timestamp of the historical equipment room operation status information and the historical equipment regional environment information; By comparing the operation timestamp and the regional environment timestamp, the historical equipment environment impact spectrum diagram that caused the historical equipment room equipment failure is intercepted from the historical equipment environment spectrum diagram; The equipment area environment impact function is constructed through the historical equipment room equipment fault operation status spectrum diagram, historical equipment environment impact spectrum diagram, equipment room equipment name information and operation fluctuation impact index; Substitute the real-time collected equipment area environment information and the basic information of the equipment in the computer room into the equipment area environment impact function to obtain the equipment area environment impact coefficient; Among them, the expression formula of the equipment area environment impact function is: In the formula, E impact (t) is the initial environmental impact coefficient of the equipment area at time t, E fast (t) is the equipment area environmental impact coefficient at the tth moment, C k (t) is the operation fluctuation impact index of the kth equipment room after being affected by the lth equipment room, w i is the weight of the i-th environmental factor, E i is the i-th environmental factor, f i is the influence function of the i-th environmental factor, f ij is the interaction function between the i-th and j-th environmental factors, h i is the environmental adaptation function of the equipment in the computer room to the i-th environmental factor, γ i ,∈ i and δ i are the weights of the impact of the i-th environmental factor on the equipment in the computer room, ω i is the frequency of periodic changes of the i-th environmental factor, α ij is the weight coefficient of the interaction function between the i-th and j-th environmental factors, θ ij is the attenuation factor of the interaction function between the i-th and j-th environmental factors, β i is the error value of the environmental adaptation function of the equipment room to the i-th environmental factor, λ i and μ i is the sensitivity of the equipment in the computer room under the influence of the i-th environmental factor and the degree of equipment aging, and n is the total number of environmental factors.
5. The IDC room operation status monitoring method according to claim 4, characterized in that: The operating status of the equipment in different areas of the computer room is evaluated through the operating status database, the equipment area environmental impact coefficient and the equipment area information of the computer room, and the regional equipment standard operating status quality index matrix is obtained, which specifically includes: Based on the equipment area information of the computer room, obtain the corresponding equipment location information of the computer room equipment area; Based on the corresponding computer room equipment location information in the computer room equipment area, a corresponding regional three-dimensional graphic is constructed; Obtain the geometric center of the regional three-dimensional figure, and determine the center position of the equipment in the computer room by using the geometric center and the equipment position information in the computer room; Connect the geometric center and the center position of the equipment in the computer room to obtain the environmental impact sensitive distance corresponding to the equipment in the equipment area of the computer room; Based on the operation status database, extract the operation status information of the equipment in the computer room in sequence; Using the equipment running status information of the computer room, obtaining the actual running status information of the equipment in the computer room, and extracting the running status characteristic indicators in the actual running status information, wherein the running status characteristic indicators include equipment running parameters, hardware health indicators and software status indicators; Obtain the basic operating status quality index of the equipment in the computer room through the operating status characteristic indicators corresponding to the equipment in the computer room; Obtain the basic operating status quality index matrix of the equipment in the computer room by using the environmental impact sensitive distance and the basic operating status quality index of the equipment in the computer room; According to the equipment area information of the computer room, the basic operating status quality index matrix of the equipment in the computer room and the equipment area environmental impact coefficient, the standard operating status quality index matrix of the regional equipment is obtained; The calculation formula of the basic operating status quality index of the equipment room is: In the formula, Q' r is the basic operating status quality index of the equipment in the rth equipment room, T x is the xth device operating parameter, H x is the xth hardware health indicator, S x is the xth software status indicator, R time is the time decay value, and are the weight coefficients of device operation parameters, hardware health indicators and software status indicators respectively, σ1, σ2 and σ3 are the overall weight coefficients of device operation parameters, hardware health indicators and software status indicators respectively, and σ4 is the weight coefficient of time decay value; The expression formula of the basic operating status quality index matrix of the equipment room is: In the formula, Z' y represents the basic operating status quality index matrix of the equipment in the computer room, Q'1 represents the basic operating status quality index of the equipment in the first computer room, Q' r represents the basic operating status quality index of the equipment in the rth equipment room, J max Indicates the maximum environmental impact sensitive distance, J1 indicates the environmental impact sensitive distance corresponding to the first equipment room equipment, J r Indicates the environmental impact sensitive distance corresponding to the equipment in the rth computer room; The expression formula of the regional equipment standard operating status quality index matrix is: In the formula, Z″ y represents the basic operating status quality index matrix of the equipment in the computer room, Q″1 represents the basic operating status quality index of the first equipment in the equipment room area, Q″ v The basic operating status quality index of the vth equipment in the equipment room area, J max represents the maximum environmental impact sensitive distance in the equipment room area, J′1 represents the environmental impact sensitive distance corresponding to the first equipment room in the equipment room area, and J' v Indicates the environmental impact sensitive distance corresponding to the vth equipment room equipment in the equipment room area.
6. The IDC room operation status monitoring method according to claim 5, characterized in that: The evaluation of the computer room operation status based on the regional equipment standard operation status quality index matrix to obtain the computer room operation status information specifically includes: Based on historical equipment regional environment information and historical equipment room equipment basic information, set regional equipment operation status quality index threshold, equipment room operation status quality index threshold and regional impact weight coefficient; The product value of the regional equipment standard operation status quality index matrix and the corresponding regional impact weight coefficient is used as the regional equipment operation status index; According to the equipment area information of the computer room, the regional equipment operation status indicators corresponding to all areas in the computer room are added together to obtain the computer room operation status quality index; Based on the computer room operation status quality index and the computer room operation status quality index threshold, the computer room operation status quality index is evaluated to obtain first evaluation information; According to the first evaluation information and the regional equipment operation status quality index threshold, the regional equipment operation status indicator is evaluated to obtain second evaluation information; The operation status of the computer room is evaluated according to the first evaluation information and the second evaluation information to obtain the operation status information of the computer room.
7. An IDC room operation status monitoring device, used to implement the monitoring method according to any one of claims 1 to 6, characterized in that: include: A central monitoring module, which is used to obtain the location information of the computer room and deploy a wireless sensor network based on the location information of the computer room; A sensor module, wherein the sensor module is used to collect equipment area environment information based on a wireless sensor network and equipment area information of a computer room; A data processing module, which is used to receive the data and information sent by the acquisition module, and transmit the data and information to the calculation unit for calculation, obtain the equipment area environmental impact coefficient and the regional equipment standard operation status quality index matrix, set early warning information through the computer room operation status information, and send the early warning information to the central monitoring module; An evaluation module, which is used to evaluate the operating status of equipment in different areas of the computer room through the operating status database, the equipment area environmental impact coefficient and the equipment area information of the computer room, and evaluate the operating status of the computer room based on the regional equipment standard operating status quality index matrix to obtain the operating status information of the computer room; The display module is used to display the monitoring process and results of the central module.
8. The IDC room operation status monitoring device according to claim 7, characterized in that: The central monitoring module includes: An acquisition unit, the acquisition unit is used to acquire the location information of the computer room; A deployment unit, the deployment unit is used to deploy a wireless sensor network based on the location information of the computer room; The alarm unit is used to receive the early warning information sent by the data processing module and determine whether to send the alarm information.
9. The IDC room operation status monitoring device according to claim 7, characterized in that: The data processing module comprises: A receiving unit, the receiving unit is used to receive data and information sent by the acquisition module, and transmit the data and information to the calculation unit for calculation; A calculation unit, the calculation unit is used to obtain the equipment regional environmental impact coefficient and the regional equipment standard operation status quality index matrix; The early warning unit is used to set early warning information through the operating status information of the computer room, and send the early warning information to the central monitoring module.
10. The IDC room operation status monitoring device according to claim 7, characterized in that: The evaluation module includes: A first evaluation unit, the first evaluation unit is used to evaluate the operating status of equipment in different areas of the computer room through the operating status database, the equipment area environmental impact coefficient and the equipment area information of the computer room; The second evaluation unit is used to evaluate the operation status of the computer room based on the regional equipment standard operation status quality index matrix to obtain the operation status information of the computer room.
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