IDC machine room operation state monitoring method and device

Abstract

The application discloses an IDC machine room operation state monitoring method and relates to the technical field of machine room monitoring, which comprises the following steps: evaluating the operation states of the equipment in different areas in the machine room by an operation state database, an equipment area environment influence coefficient and machine room equipment area information, obtaining a regional equipment standard operation state quality index matrix, evaluating the operation state of the machine room based on the regional equipment standard operation state quality index matrix, obtaining machine room operation state information, calculating the operation state quality index matrix of each regional equipment, reflecting the health degree of the equipment operation state, obtaining the machine room overall operation state information through comprehensive analysis of the equipment area quality index matrix, and then performing machine room health degree evaluation, and obtaining the operation state quality index matrix of each regional equipment through the environment influence coefficient, so that the influence of the environment and the associated equipment in the machine room on the sensitive machine room equipment is avoided, and the accuracy of the monitoring is affected.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of IDC machine room monitoring, in particular to an IDC machine room operation state monitoring method and device. BACKGROUND

[0002] IDC machine room is an important part of information technology infrastructure, and its stable operation is crucial to ensure business continuity. With the acceleration of digital transformation, IDC machine room faces higher energy efficiency requirements and complex operating environment. Therefore, it is particularly important to monitor the operation state of the machine room in real time, including temperature and humidity, equipment load, energy consumption and fault warning. Through efficient monitoring methods and devices, potential problems can be found in advance to avoid system downtime or equipment damage, and the intelligent level of machine room management can be improved. Effective monitoring not only optimizes resource allocation, but also reduces operation and maintenance costs, ensuring the safe and efficient operation of IDC machine room, thereby providing stable and reliable service guarantee for enterprises.

[0003] The existing IDC machine room operation state monitoring method and device lack analysis of disaster risks of machine room location when deploying wireless sensor network at machine room location, which cannot guarantee the stability and reliability of sensor network in case of sudden disaster, and the monitoring device also lacks analysis of environmental factors, and other associated equipment in the machine room will also affect sensitive machine room equipment, thereby affecting the accuracy of monitoring. Therefore, an IDC machine room operation state monitoring method and device are needed to solve the above problems. SUMMARY

[0004] To solve the above technical problems, an IDC machine room operation state monitoring method and device are provided, which solves the problem that the existing IDC machine room operation state monitoring method and device in the background art cannot deploy appropriate wireless sensor network according to machine room location, resulting in lack of accuracy and reliability of monitoring device in monitoring IDC machine room operation state, and machine room equipment is not only susceptible to environmental influence, but also other associated equipment in the machine room will affect sensitive machine room equipment, thereby affecting the accuracy of monitoring.

[0005] To achieve the above purposes, the technical scheme adopted by the present application is as follows:

[0006] An IDC machine room operation state monitoring method, comprising:

[0007] Obtaining machine room location information and deploying wireless sensor network based on machine room location information;

[0008] Obtaining machine room equipment information based on machine room location information, the machine room equipment information including machine room equipment location information and machine room equipment basic information;

[0009] Based on the machine room equipment position information and the machine room equipment basic information, the machine room equipment is regionally divided to obtain machine room equipment region information;

[0010] According to the wireless sensor network, and with the machine room equipment region information, equipment region environment information is collected;

[0011] Combined with the equipment region environment information and the machine room equipment basic information, an equipment region environment influence coefficient is obtained;

[0012] According to the machine room equipment region information, machine room equipment running state information is collected respectively, and the machine room equipment running state information is stored into a running state database;

[0013] Through the running state database, the equipment region environment influence coefficient and the machine room equipment region information, the running state of the equipment in different regions in the machine room is evaluated to obtain a region equipment standard running state quality index matrix;

[0014] Based on the region equipment standard running state quality index matrix, the machine room running state is evaluated to obtain machine room running state information;

[0015] Through the machine room running state information, early warning information is set.

[0016] In an optional embodiment, the machine room position information is obtained, and a wireless sensor network is deployed based on the machine room position information, specifically including:

[0017] The deployment target region information is determined, and the map information and the deployment target position information of the deployment target region are obtained through a map tool;

[0018] The machine room position information and the machine room quantity information are obtained according to the map information;

[0019] Based on the machine room position information and the machine room quantity information, the machine room surrounding geographical information and the machine room construction information are obtained;

[0020] According to the machine room surrounding geographical information, the machine room surrounding disaster risk region position information is obtained;

[0021] With the machine room position information, the deployment target position information and the machine room construction information, a disaster risk assessment reference value is determined;

[0022] Through the machine room surrounding disaster risk region position information, the machine room position information and the machine room construction information, a disaster risk assessment fluctuation value is determined;

[0023] Based on the disaster risk assessment reference value and the disaster risk assessment fluctuation value, a machine room position disaster risk index is obtained;

[0024] According to the machine room position disaster risk index, wireless sensor specification information is determined;

[0025] Deploying a wireless sensor network with the machine room location information and the wireless sensor specification information.

[0026] In an optional embodiment, the machine room equipment is regionally divided based on the machine room equipment location information and the machine room equipment basic information to obtain machine room equipment region information, which specifically includes:

[0027] Based on the machine room equipment basic information, machine room equipment name information, machine room equipment type information and machine room equipment configuration information are obtained.

[0028] According to the machine room equipment type information, machine room equipment environment requirement information and machine room equipment power requirement information are obtained.

[0029] Machine room equipment operation fluctuation functions are obtained through the machine room equipment type information, the machine room equipment environment requirement information and the machine room equipment power requirement information.

[0030] Machine room equipment correlation indexes are obtained according to the machine room equipment operation fluctuation functions and the machine room equipment configuration information.

[0031] Based on the machine room equipment name information and the machine room equipment correlation indexes, a correlation analysis of the machine room equipment is performed.

[0032] The machine room equipment is regionally divided based on the results of the correlation analysis to obtain machine room equipment region information.

[0033] The calculation formula of the machine room equipment correlation index is:

[0034]

[0035] In the formula, C kc (k,c) is the machine room equipment correlation index of the kth and cth machine room equipment, f(B k ,B c (k,c) is the machine room equipment operation fluctuation function between the kth and cth machine room equipment, B k is the operation fluctuation value of the kth machine room equipment, B c is the operation fluctuation value of the cth machine room equipment, B l is the operation fluctuation value of the lth machine room equipment, β kc is the weight of the operation fluctuation value of the kth and cth machine room equipment, α kc is the error term of the operation fluctuation value of the kth and cth machine room equipment, θ kc is the attenuation factor of the operation fluctuation value of the kth and cth machine room equipment, M kl (k,l) is the influence degree value between the kth and lth machine room equipment, M kc (k,c) is the influence degree value between the kth and cth machine room equipment, C k(t) is the running fluctuation influence index of the kth machine room equipment after the influence of the l machine room equipments, and m is the total number of machine room equipments.

[0036] In an optional embodiment, the device area environment information and the machine room equipment basic information are combined to obtain a device area environment influence coefficient, specifically including:

[0037] Historical device area environment information and historical machine room equipment basic information are collected.

[0038] Based on the machine room equipment running fluctuation function, the historical device area environment information and the historical machine room equipment basic information, an environment influence factor and historical machine room equipment running state information are obtained.

[0039] A historical machine room equipment running state spectrum map is constructed based on the historical machine room equipment running state information.

[0040] A fault node is marked on the historical machine room equipment running state spectrum map based on the historical machine room equipment running state information, and a fault region is intercepted to obtain a historical machine room equipment fault running state spectrum map.

[0041] A historical device environment spectrum map is obtained based on the historical device area environment information and the environment influence factor.

[0042] A running timestamp and a region environment timestamp of the historical machine room equipment running state information and the historical device area environment information are extracted.

[0043] A historical device environment influence spectrum map causing the historical machine room equipment to malfunction is intercepted from the historical device environment spectrum map based on the running timestamp and the region environment timestamp.

[0044] A device area environment influence function is constructed based on the historical machine room equipment fault running state spectrum map, the historical device environment influence spectrum map, the machine room equipment name information and the running fluctuation influence index.

[0045] The device area environment influence function is obtained by substituting the real-time collected device area environment information and the machine room equipment basic information into the device area environment influence function.

[0046] The expression formula of the device area environment influence function is:

[0047]

[0048] In the formula, E impact (t) is the device area initial environment influence coefficient at the tth moment, E fast (t) is the device area environment influence coefficient at the tth moment, C k (t) is the running fluctuation influence index of the kth machine room equipment after the influence of the l machine room equipments, w iis the weight of the ith environmental factor, E i is the ith environmental factor, f i is the influence function of the ith environmental factor, f ij is the interaction function of the ith and jth environmental factors, h i is the environmental adaptation function of the machine room equipment to the ith environmental factor, γ i , ∈ i and δ i are the influence mode weights of the ith environmental factor on the machine room equipment, ω i is the frequency of the periodic change of the ith environmental factor, α ij is the weight coefficient of the interaction function of the ith and jth environmental factors, θ ij is the attenuation factor of the interaction function of the ith and jth environmental factors, β i is the error value of the environmental adaptation function of the machine room equipment to the ith environmental factor, λ i and μ i are the sensitivity and equipment aging degree of the machine room equipment under the influence of the ith environmental factor, and n is the total number of environmental factors.

[0049] In an optional embodiment, the running state of the equipment in different areas of the machine room is evaluated by running the state database, the equipment area environmental influence coefficient, and the machine room equipment area information, to obtain a regional equipment standard running state quality index matrix, specifically including:

[0050] Based on the machine room equipment area information, the corresponding machine room equipment position information in the machine room equipment area is obtained;

[0051] The corresponding regional solid figure is constructed based on the corresponding machine room equipment position information in the machine room equipment area;

[0052] The geometric center of the regional solid figure is obtained, and the machine room equipment center position is determined based on the geometric center and the machine room equipment position information;

[0053] The geometric center and the machine room equipment center position are connected to obtain the environmental influence sensitive distance corresponding to the machine room equipment in the machine room equipment area;

[0054] Based on the running state database, the machine room equipment running state information is extracted in sequence;

[0055] Based on the machine room equipment running state information, the machine room equipment actual running state information is obtained, and the running state characteristic index in the actual running state information is extracted, wherein the running state characteristic index includes equipment running parameters, hardware health indicators, and software state indicators;

[0056] The machine room equipment basic running state quality index is obtained based on the corresponding running state characteristic index of the machine room equipment.

[0057] obtaining a matrix of basic operation state quality indexes of the equipment room equipment according to the sensitive distance of the environmental impact and the basic operation state quality indexes of the equipment room equipment;

[0058] obtaining a matrix of standard operation state quality indexes of the regional equipment according to the regional information of the equipment room equipment, the matrix of basic operation state quality indexes of the equipment room equipment and the environmental impact coefficient of the equipment region;

[0059] The calculation formula of the basic operation state quality index of the equipment room equipment is as follows:

[0060]

[0061] In the formula, Q' represents the basic operation state quality index of the rth equipment room equipment, T represents the sensitive distance of the environmental impact, H represents the xth equipment operation parameter, H represents the xth hardware health index, S represents the xth software state index, R represents the time attenuation value, σ1, σ2 and σ3 respectively represent the weight coefficients of the equipment operation parameter, the hardware health index and the software state index, and σ4 represents the weight coefficient of the time attenuation value. r x x x time respectively represent the weight coefficients of the equipment operation parameter, the hardware health index and the software state index, σ1, σ2 and σ3 respectively represent the overall weight coefficients of the equipment operation parameter, the hardware health index and the software state index, and σ4 represents the weight coefficient of the time attenuation value.

[0062] The expression formula of the matrix of basic operation state quality indexes of the equipment room equipment is as follows:

[0063]

[0064] In the formula, Z' represents the matrix of basic operation state quality indexes of the equipment room equipment, Q'1 represents the basic operation state quality index of the first equipment room equipment, Q' represents the basic operation state quality index of the rth equipment room equipment, J represents the maximum sensitive distance of the environmental impact, J1 represents the sensitive distance of the environmental impact corresponding to the first equipment room equipment, and J represents the sensitive distance of the environmental impact corresponding to the rth equipment room equipment. y r max r

[0065] The expression formula of the matrix of standard operation state quality indexes of the regional equipment is as follows:

[0066]

[0067] In the formula, Z" represents the matrix of standard operation state quality indexes of the regional equipment, Q"1 represents the standard operation state quality index of the first regional equipment, Q" represents the standard operation state quality index of the rth regional equipment, J represents the maximum sensitive distance of the environmental impact, J1 represents the sensitive distance of the environmental impact corresponding to the first regional equipment, and J represents the sensitive distance of the environmental impact corresponding to the rth regional equipment. y ​​​​​​​​​​Q"1 represents a machine room equipment basic operation state quality index of the first machine room equipment in the machine room equipment area, Q" v Q"v represents a machine room equipment basic operation state quality index of the vth machine room equipment in the machine room equipment area, J max J'1 represents an environmental impact sensitive distance corresponding to the first machine room equipment in the machine room equipment area, J' v J'v represents an environmental impact sensitive distance corresponding to the vth machine room equipment in the machine room equipment area.

[0068] In an optional embodiment, the machine room operation state is evaluated based on the area equipment standard operation state quality index matrix to obtain machine room operation state information, and specifically includes:

[0069] Based on the historical equipment area environmental information and the historical machine room equipment basic information, the area equipment operation state quality index threshold, the machine room operation state quality index threshold and the area impact weight coefficient are set;

[0070] The product value of the area equipment standard operation state quality index matrix and the corresponding area impact weight coefficient is taken as the area equipment operation state index;

[0071] According to the machine room equipment area information, the area equipment operation state indexes corresponding to all areas in the machine room are added to obtain the machine room operation state quality index;

[0072] Based on the machine room operation state quality index and the machine room operation state quality index threshold, the machine room operation state quality index is evaluated to obtain first evaluation information;

[0073] According to the first evaluation information and the area equipment operation state quality index threshold, the area equipment operation state index is evaluated to obtain second evaluation information;

[0074] According to the first evaluation information and the second evaluation information, the machine room operation state is evaluated to obtain machine room operation state information.

[0075] Further, an IDC machine room operation state monitoring device is provided for realizing any one of the above monitoring methods, comprising:

[0076] A central monitoring module is configured to obtain machine room location information and deploy a wireless sensor network based on the machine room location information;

[0077] A sensor module is configured to collect equipment area environmental information based on the wireless sensor network and machine room equipment area information;

[0078] The data processing module is configured to receive the data and information sent by the collection module, and transmit the data and information to the calculation unit for calculation, to obtain the device area environmental influence coefficient and the area device standard operation state quality index matrix, to set the early warning information through the machine room operation state information, and to send the early warning information to the central monitoring module.

[0079] The evaluation module is configured to evaluate the operation state of the devices in different areas in the machine room through the operation state database, the device area environmental influence coefficient, and the machine room device area information, to evaluate the machine room operation state based on the area device standard operation state quality index matrix, and to obtain the machine room operation state information.

[0080] The display module is configured to display the monitoring process and result of the central module.

[0081] In an optional embodiment, the central monitoring module comprises:

[0082] The acquisition unit is configured to acquire the machine room location information.

[0083] The deployment unit is configured to deploy the wireless sensor network with the machine room location information.

[0084] The alarm unit is configured to receive the early warning information sent by the data processing module, and to determine whether to send the alarm information.

[0085] In an optional embodiment, the data processing module comprises:

[0086] The receiving unit is configured to receive the data and information sent by the collection module, and to transmit the data and information to the calculation unit for calculation.

[0087] The calculation unit is configured to obtain the device area environmental influence coefficient and the area device standard operation state quality index matrix.

[0088] The early warning unit is configured to set the early warning information through the machine room operation state information, and to send the early warning information to the central monitoring module.

[0089] In an optional embodiment, the evaluation module comprises:

[0090] The first evaluation unit is configured to evaluate the operation state of the devices in different areas in the machine room through the operation state database, the device area environmental influence coefficient, and the machine room device area information.

[0091] A second evaluation unit is configured to evaluate the operation state of the machine room based on the regional device standard operation state quality index matrix to obtain machine room operation state information.

[0092] Compared with the prior art, the present application has the following advantages:

[0093] The IDC machine room operation state monitoring method and device provided by the present application can more accurately evaluate the disaster risk of the location of the machine room by comprehensively considering the geographic information, historical disaster data and natural environmental factors, so as to deploy an accurate and reliable wireless sensor network and improve the accuracy and reliability of the monitoring device in monitoring the operation state of the IDC machine room.

[0094] The IDC machine room operation state monitoring method and device provided by the present application can ensure that the operation state of the device in the region is within a reasonable range by dividing the device region based on the mutual influence between the devices, the fluctuation function and the configuration of the devices.

[0095] The IDC machine room operation state monitoring method and device provided by the present application can realize dynamic evaluation of the operation state of the device by constructing a device regional environment influence function based on the analysis of the historical device operation state and environmental data, combining real-time environmental data with the device operation state, and dynamically calculating the device regional environment influence coefficient. BRIEF DESCRIPTION OF DRAWINGS

[0096] Figure 1 The flowchart of the IDC machine room operation state monitoring method provided by the present application is shown in the figure.

[0097] Figure 2 The deployment flowchart of the wireless sensor network in the present application is shown in the figure.

[0098] Figure 3 The flowchart of the device regional environment influence coefficient in the present application is shown in the figure.

[0099] Figure 4 The system framework diagram of the IDC machine room operation state monitoring device provided by the present application is shown in the figure. Detailed Implementation

[0100] The following description is intended to disclose the invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art.

[0101] Reference Figure 1 - Figure 4 As shown, a method for monitoring the operational status of an IDC (Internet Data Center) data center includes:

[0102] Acquire the location information of the computer room and deploy a wireless sensor network based on the computer room location information;

[0103] Data center equipment information is obtained based on data center location information. The data center equipment information includes data center equipment location information and basic data center equipment information.

[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 areas to obtain the equipment area information of the computer room.

[0105] Based on wireless sensor networks, environmental information of the equipment area is collected using information about the equipment area in the computer room.

[0106] The environmental impact coefficient of the equipment area is obtained by combining the equipment area environmental information and the basic information of the computer room equipment.

[0107] Based on the equipment area information in the computer room, collect the operating status information of the equipment in the computer room and store the operating status information of the equipment in the operating status database;

[0108] By using the operational status database, equipment area environmental impact coefficient, and computer room equipment area information, the operational status of equipment in different areas of the computer room is evaluated, and a regional equipment standard operational status quality index matrix is ​​obtained.

[0109] Based on the regional equipment standard operating status quality index matrix, the operating status of the computer room is evaluated to obtain computer room operating status information;

[0110] Set up early warning information based on the data center's operational status information.

[0111] Furthermore, acquiring the location information of the data center and deploying a wireless sensor network based on that location information specifically includes:

[0112] Determine the target deployment area information, and obtain the map information of the target deployment area and the location information of the target deployment target through map tools;

[0113] Obtain the location and number of data centers based on map information;

[0114] obtain geographical information around the machine room and construction information of the machine room based on the machine room location information and the number of machine rooms;

[0115] obtain disaster risk area location information around the machine room based on the geographical information around the machine room;

[0116] determine a disaster risk assessment benchmark value based on the machine room location information, the deployment target location information and the construction information of the machine room;

[0117] determine a disaster risk assessment fluctuation value based on the disaster risk area location information around the machine room, the machine room location information and the construction information of the machine room;

[0118] obtain a machine room location disaster risk index based on the disaster risk assessment benchmark value and the disaster risk assessment fluctuation value;

[0119] determine wireless sensor specification information based on the machine room location disaster risk index;

[0120] deploy a wireless sensor network based on the machine room location information and the wireless sensor specification information.

[0121] Specifically, the machine room location information is obtained through GPS positioning and GIS system, which can accurately determine the geographic coordinates, surrounding environment and related risk factors of the machine room. The deployment target area information is the regional range information of the IDC machine room to be deployed. A disaster risk assessment benchmark value is determined based on the machine room location information, the deployment target location information and the construction information of the machine room. The benchmark value is equal to the product of the probability of disaster occurrence, the impact degree of disaster and the protection ability in numerical value. The probability of disaster occurrence is the historical occurrence frequency of disaster types (including earthquake, flood, etc.) in the region where the machine room is located. The impact degree of disaster is the potential impact degree of disaster types on the machine room. The protection ability is the disaster protection ability of the machine room building itself. A disaster risk assessment fluctuation value is determined based on the disaster risk area location information around the machine room, the machine room location information and the construction information of the machine room. The disaster risk assessment fluctuation value is the product of the environmental impact factor, the probability of disaster occurrence and the risk change coefficient. The environmental impact factor is the influence of external environment (such as climate, geology, weather, etc.) on the disaster risk of the machine room. The probability of disaster occurrence is the probability of disaster occurrence caused by a certain environmental factor. The disaster change coefficient is the disaster risk fluctuation amplitude caused by the change of different external environment, which is obtained by historical data regression. A machine room location disaster risk index is obtained based on the disaster risk assessment benchmark value and the disaster risk assessment fluctuation value. The machine room location disaster risk index is the weighted value of the disaster risk assessment benchmark value, the disaster risk assessment fluctuation value and the regional influence weight coefficient. The regional influence weight coefficient is determined according to the actual situation and priority.

[0122] According to the disaster risk index of the machine room location, the specification information of the wireless sensor is determined. It can be understood that the specification and configuration of the wireless sensor are determined according to the disaster risk index of the machine room location. The wireless sensor is used to monitor disaster warning, environmental change, machine room equipment state, etc., to help real-time tracking of the safety condition of the machine room. The selection of the sensor should be configured according to the high and low of the disaster risk index, the complexity of the environment and the type of disaster that the sensor needs to monitor, for example, low disaster risk index (0-0.1): for the area with low disaster risk, the function requirement of the sensor can be relatively basic, and the monitored object mainly focuses on the environmental conditions (such as temperature, humidity, etc.) and the equipment running state of the machine room, medium disaster risk index (0.1-0.3): for the area with medium disaster risk, the sensor needs to have stronger disaster warning and protection ability, especially for the environmental factors such as flood, strong wind, climate change, which may affect the machine room, high disaster risk index (index value 0.3-0.5 or higher), for the machine room with high disaster risk, especially located in the earthquake belt, flood-prone area or machine room under extreme climate conditions, the sensor should have higher precision, reliability and disaster warning ability, which can monitor the disaster in real time and provide multi-dimensional data support.

[0123] Further, based on the machine room equipment location information and the machine room equipment basic information, the machine room equipment is regionally divided to obtain machine room equipment region information, specifically including:

[0124] Based on the machine room equipment basic information, the machine room equipment name information, the machine room equipment type information and the machine room equipment configuration information are obtained;

[0125] According to the machine room equipment type information, the machine room equipment environment demand information and the machine room equipment power demand information are obtained;

[0126] Through the machine room equipment type information, the machine room equipment environment demand information and the machine room equipment power demand information, the machine room equipment running fluctuation function is obtained;

[0127] According to the machine room equipment running fluctuation function and the machine room equipment configuration information, the machine room equipment correlation index is obtained;

[0128] Based on the machine room equipment name information and the machine room equipment correlation index, the correlation analysis of the machine room equipment is carried out;

[0129] Based on the result of the correlation analysis, the machine room equipment is regionally divided to obtain the machine room equipment region information;

[0130] Wherein, the calculation formula of the machine room equipment correlation index is:

[0131]

[0132] In the formula, C kc(t) is the machine room equipment correlation index of the kth and cth machine room equipment, f(B k , B c (t) is the machine room equipment running fluctuation function between the kth and cth machine room equipment, B k is the running fluctuation value of the kth machine room equipment, B c is the running fluctuation value of the cth machine room equipment, B l is the running fluctuation value of the lth machine room equipment, β kc is the weight of the running fluctuation value of the kth and cth machine room equipment, α kc is the error term of the running fluctuation value of the kth and cth machine room equipment, θ kc is the decay factor of the running fluctuation value of the kth and cth machine room equipment, M kl is the influence degree value between the kth and lth machine room equipment, M kc is the influence degree value between the kth and cth machine room equipment, C k (t) is the running fluctuation influence index of the kth machine room equipment after the influence of the l machine room equipment, and m is the total number of machine room equipment.

[0133] Specifically, the machine room equipment running fluctuation function is used to describe the mathematical model of the running state of the equipment (such as servers, air conditioners, power supply systems, etc.) in the machine room changing with time, which can help monitor and analyze the performance fluctuation of the equipment, predict potential failures or performance degradation of the equipment, and further optimize the equipment management and maintenance strategy. The running fluctuation value of the machine room equipment is the difference between the actual running current curve of the machine room equipment and the theoretical state current curve. If the equipment load is stable and the power supply is stable, the current curve is a stable sinusoidal waveform, but in actual operation, it will fluctuate due to various factors, becoming complex and distorted. Therefore, the running fluctuation value of the machine room equipment is the sum of the difference between the actual running current curve of the machine room equipment and the theoretical state current curve at each unit time from 0 to t. The decay factor of the running fluctuation value of the machine room equipment, in the actual running process of the machine room equipment, the machine room monitoring device will configure the machine room equipment or adjust the environment in the machine room according to the machine room equipment basic running state quality index generated by the machine room equipment in the running process, so that the running fluctuation value of the machine room equipment gradually decays, and the decay amplitude value is the decay factor of the running fluctuation value of the machine room equipment.

[0134] It can be understood that M kl The calculation formula of the influence degree value between the kth and lth machine room equipment is:

[0135]

[0136] In the formula, Tk (t) represents the state quantized value of the kth device after t time, T l (t) represents the state quantized value of the lth device after t time, f k and f l represent the state quantized value of the kth and lth devices as a function of time, T k is the temperature value of the kth device at t time, T l is the temperature value of the lth device at t time, DIS k is the configuration quantized value of the kth device at t time, LOAD k is the quantized value of the load information of the kth device at t time, DIS l is the configuration quantized value of the lth device at t time, LOAD l is the quantized value of the load information of the lth device at t time, T env is the ambient temperature at t time, a k and a l are the heat dissipation coefficients of the kth and lth devices, b k and b l are the heat exchange coefficients between the kth and lth devices, P k and P l are the heat generation rates of the kth and lth devices, P k (L k ) and P l (L l ) represent the power consumption of the kth and lth devices under different load conditions, g k and g l represent the adjustment coefficients of the kth and lth devices configuration to temperature, d k and d l represent the autoregressive coefficients of the load, capturing the historical impact of the load, e k and e l represent the impact coefficients of temperature on load, z k and z l represent other factors affecting the load, M kl is the influence degree value between the kth and lth machine room devices.

[0137] Further, T k(t) represents the state quantization value of the kth device after t time, the state quantization value of the device after a certain time usually refers to the expected state of the device at a future time point calculated by a mathematical model, a monitoring system or an algorithm. These state quantization values are usually used to describe the health status, performance, energy efficiency, fault warning and other dimensions of the device. The state quantization value of the device can be defined according to the specific application scene, which usually includes device performance state quantization value (such as power consumption, running speed, load, efficiency, etc.), device health state quantization value is usually related to the wear degree, fault prediction, fault mode of the device, and the health state quantization value usually includes temperature, vibration, etc.f k andf l represents the change function of the state quantization value of device k and device l with time, which can be set according to the change of different factors (such as load, ambient temperature, etc.), DIS k is the configuration quantization value of the kth device at t time, which is the configuration state of the device at a certain time and its related numerical performance. The configuration quantization value usually describes the specific settings, working parameters, resource allocation, etc. of the device at that time, the heat dissipation coefficient is the rate of the device temperature response to the ambient temperature, the heat exchange coefficient is used to describe the efficiency of heat conduction between devices, the configuration adjustment coefficient of temperature includes the cooling system efficiency, the influence coefficient of temperature on load (i.e. temperature change will affect the device load), ζ k and ζ l represents other factors affecting the load, such as external task load.

[0138] Further, the device area environment influence coefficient is obtained by combining the device area environment information and the computer room device basic information, specifically including:

[0139] Collecting historical device area environment information and historical computer room device basic information;

[0140] Based on the computer room device running fluctuation function, the historical device area environment information and the historical computer room device basic information, the environmental influence factor and the historical computer room device running state information are obtained;

[0141] A historical computer room device running state spectrum graph is constructed by using the historical computer room device running state information;

[0142] By using the historical computer room device running state information, a fault node is marked on the historical computer room device running state spectrum graph, and a fault area is intercepted to obtain a historical computer room device fault running state spectrum graph;

[0143] According to the historical device area environment information and the environmental influence factor, a historical device environment spectrum graph is obtained;

[0144] The running time stamp and the area environment time stamp of the historical computer room device running state information and the historical device area environment information are extracted;

[0145] correlating the running timestamp and the regional environmental timestamp, a historical device environmental impact spectrum graph causing the historical computer room device to malfunction is intercepted from the historical device environmental spectrum graph;

[0146] a device regional environmental impact function is constructed by the historical computer room device malfunction running state spectrum graph, the historical device environmental impact spectrum graph, the computer room device name information and the running fluctuation impact index;

[0147] the device regional environmental impact coefficient is obtained by substituting the real-time collected device regional environmental information and the computer room device basic information into the device regional environmental impact function;

[0148] wherein, the expression formula of the device regional environmental impact function is:

[0149]

[0150] In the formula, E impact (t) is the device regional initial environmental impact coefficient at the t time, E fast (t) is the device regional environmental impact coefficient at the t time, C k (t) is the running fluctuation impact index of the kth computer room device after the influence of the l computer room devices, w i is the weight of the ith environmental factor, E i is the ith environmental factor, fi is the impact function of the ith environmental factor, f ij is the interaction impact function of the ith and jth environmental factors, h i is the environmental adaptation function of the computer room device to the ith environmental factor, γ i , ∈ i and δ i are the influence mode weights of the ith environmental factor to the computer room device, ω i is the frequency of the periodic change of the ith environmental factor, α ij is the weight coefficient of the interaction impact function of the ith and jth environmental factors, θ ij is the attenuation factor of the interaction impact function of the ith and jth environmental factors, β i is the error value of the environmental adaptation function of the computer room device to the ith environmental factor, λ i and μ i are the sensitivity and the device aging degree of the computer room device under the influence of the ith environmental factor, and n is the total number of environmental factors.

[0151] In particular, 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 the equipment room equipment, and the environmental adaptation function of the equipment room equipment 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. Periodic changes in environmental factors usually refer to external environmental changes that exhibit regular fluctuations, for example, air temperature, humidity, air quality, etc. may be affected by seasonal changes, day-night changes, etc. The frequency of periodic changes is usually expressed in time units (such as hours, days, months, years), and the weight coefficient of the interaction influence function of environmental factors describes the strength of the interaction between each environmental factor. For example, temperature and humidity may jointly affect the performance of the equipment, and the interaction effect of certain environmental factors may be more significant than a single factor. The interaction influence function can be established through multiple regression analysis or machine learning models, and the attenuation factor describes how the influence strength of environmental factors attenuates over time or distance. In some cases, the interaction effect of environmental factors may weaken over time, distance, or other conditions. The attenuation factor is usually used to describe this weakening effect.

[0152] Further, by running the state database, the device area environmental influence coefficient, and the equipment room device area information, the running state of the equipment in different areas of the equipment room is evaluated to obtain a regional equipment standard running state quality index matrix, which specifically includes:

[0153] Based on the equipment room device area information, the corresponding equipment room device location information in the equipment room device area is obtained;

[0154] Based on the equipment room device location information in the equipment room device area, a corresponding regional solid figure is constructed;

[0155] The geometric center of the regional solid figure is obtained, and the equipment room device center position is determined based on the geometric center and the equipment room device location information;

[0156] The geometric center and the equipment room device center position are connected to obtain the environmental influence sensitive distance corresponding to the equipment room equipment in the equipment room equipment area;

[0157] Based on the running state database, the equipment room equipment running state information is extracted in sequence;

[0158] Based on the equipment room equipment running state information, the actual running state information of the equipment room equipment is obtained, and the running state characteristic index in the actual running state information is extracted, including equipment running parameters, hardware health indicators, and software state indicators;

[0159] The basic operation state quality index of the machine room equipment is obtained through corresponding operation state characteristic indexes of the machine room equipment;

[0160] The basic operation state quality index matrix of the machine room equipment is obtained through the environmental influence sensitive distance and the basic operation state quality index of the machine room equipment;

[0161] The standard operation state quality index matrix of the regional equipment is obtained according to the regional information of the machine room equipment, the basic operation state quality index matrix of the machine room equipment and the equipment regional environmental influence coefficient;

[0162] The calculation formula of the basic operation state quality index of the machine room equipment is as follows:

[0163]

[0164] In the formula, Q' r is the basic operation state quality index of the rth machine room equipment, T x is the xth equipment operation parameter, H x is the xth hardware health index, S x is the xth software state index, R time is the time attenuation value, and are weight coefficients of the equipment operation parameter, the hardware health index and the software state index respectively, σ1, σ2 and σ3 are overall weight coefficients of the equipment operation parameter, the hardware health index and the software state index respectively, and σ4 is a weight coefficient of the time attenuation value;

[0165] The expression formula of the basic operation state quality index matrix of the machine room equipment is as follows:

[0166]

[0167] In the formula, Z' y represents the basic operation state quality index matrix of the machine room equipment, Q'1 represents the basic operation state quality index of the first machine room equipment, Q' r represents the basic operation state quality index of the rth machine room equipment, J max represents the maximum environmental influence sensitive distance, J1 represents the environmental influence sensitive distance corresponding to the first machine room equipment, and J r represents the environmental influence sensitive distance corresponding to the rth machine room equipment;

[0168] The expression formula of the standard operation state quality index matrix of the regional equipment is as follows:

[0169]

[0170] In the formula, Z” yQ"1 represents the basic operation state quality index of the first machine room equipment in the machine room equipment area, Q" v Q"v represents the basic operation state quality index of the vth machine room equipment in the machine room equipment area, J max J'1 represents the environmental impact sensitive distance corresponding to the first machine room equipment in the machine room equipment area, J' v J'v represents the environmental impact sensitive distance corresponding to the vth machine room equipment in the machine room equipment area.

[0171] Further, based on the regional equipment standard operation state quality index matrix, the operation state of the machine room is evaluated to obtain machine room operation state information, specifically including:

[0172] Based on the historical equipment area environmental information and historical machine room equipment basic information, the regional equipment operation state quality index threshold, the machine room operation state quality index threshold and the regional influence weight coefficient are set;

[0173] The product value of the regional equipment standard operation state quality index matrix and the corresponding regional influence weight coefficient is taken as the regional equipment operation state index;

[0174] According to the machine room equipment area information, the regional equipment operation state indexes corresponding to all regions in the machine room are added to obtain the machine room operation state quality index;

[0175] Based on the machine room operation state quality index and the machine room operation state quality index threshold, the machine room operation state quality index is evaluated to obtain first evaluation information;

[0176] According to the first evaluation information and the regional equipment operation state quality index threshold, the regional equipment operation state index is evaluated to obtain second evaluation information;

[0177] According to the first evaluation information and the second evaluation information, the operation state of the machine room is evaluated to obtain the machine room operation state information.

[0178] Further, an IDC machine room operation state monitoring device is provided for implementing any of the above monitoring methods, comprising:

[0179] The center monitoring module is used for acquiring machine room position information and deploying a wireless sensor network based on the machine room position information;

[0180] The sensor module is used for collecting equipment area environmental information based on the wireless sensor network and machine room equipment area information;

[0181] The data processing module is configured to receive the data and information sent by the collection module, and transmit the data and information to the calculation unit for calculation, to obtain the equipment area environmental influence coefficient and the area equipment standard operation state quality index matrix, to set the early warning information according to the machine room operation state information, and to send the early warning information to the central monitoring module.

[0182] The evaluation module is configured to evaluate the operation states of the equipment in different areas in the machine room according to the operation state database, the equipment area environmental influence coefficient and the machine room equipment area information, to evaluate the machine room operation state based on the area equipment standard operation state quality index matrix, and to obtain the machine room operation state information.

[0183] The display module is configured to display the monitoring process and result of the central module.

[0184] Further, the central monitoring module comprises:

[0185] The acquisition unit is configured to acquire the machine room location information.

[0186] The deployment unit is configured to deploy the wireless sensor network according to the machine room location information.

[0187] The alarm unit is configured to receive the early warning information sent by the data processing module, and to determine whether to send the alarm information.

[0188] Further, the data processing module comprises:

[0189] The receiving unit is configured to receive the data and information sent by the collection module, and to transmit the data and information to the calculation unit for calculation.

[0190] The calculation unit is configured to obtain the equipment area environmental influence coefficient and the area equipment standard operation state quality index matrix.

[0191] The early warning unit is configured to set the early warning information according to the machine room operation state information, and to send the early warning information to the central monitoring module.

[0192] Further, the evaluation module comprises:

[0193] The first evaluation unit is configured to evaluate the operation states of the equipment in different areas in the machine room according to the operation state database, the equipment area environmental influence coefficient and the machine room equipment area information.

[0194] The second evaluation unit is configured to evaluate the machine room operation state based on the area equipment standard operation state quality index matrix, and to obtain the machine room operation state information.

[0195] The above shows and describes the basic principles, main features and advantages of the present application. Those skilled in the art should understand that the present application is not limited to the above-mentioned embodiments, and the above-mentioned embodiments and descriptions in the specification are only the principles of the present application. Various changes and improvements can be made without departing from the spirit and scope of the present application, and these changes and improvements all fall within the scope of the claimed present application. The scope of protection of the present application is defined by the appended claims and their equivalents.

Claims

1. A method for monitoring the operational status of an IDC (Internet Data Center) server room, characterized in that, include: Acquire the location information of the computer room and deploy a wireless sensor network based on the computer room location information; Data center equipment information is obtained based on data center location information, and the data center equipment information includes data center equipment location information and basic data center equipment 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 areas to obtain the equipment area information of the computer room. Based on wireless sensor networks, environmental information of the equipment area is collected using information about the equipment area in the computer room. The environmental impact coefficient of the equipment area is obtained by combining the equipment area environmental information and the basic information of the computer room equipment. Based on the equipment area information in the computer room, collect the operating status information of the equipment in the computer room and store the operating status information of the equipment in the operating status database; Based on the data center equipment area information, obtain the location information of the corresponding data center equipment within the data center equipment area; Construct a 3D map of the corresponding area based on the location information of the equipment in the equipment area of ​​the computer room; Obtain the geometric center of the 3D graphic of the region, and determine the center position of the equipment in the computer room based on the geometric center and the location information of the equipment in the computer room; By connecting the geometric center and the center of the equipment in the computer room, the environmental impact sensitive distances corresponding to the equipment in the computer room area can be obtained. Based on the operational status database, the operational status information of the equipment in the computer room is extracted sequentially. Using the data center equipment operation status information, obtain the actual operation status information of the data center equipment, and extract the operation status feature indicators from the actual operation status information. The operation status feature indicators include equipment operation parameters, hardware health indicators and software status indicators. The basic operational status quality index of the data center equipment is obtained by using the corresponding operational status characteristic indicators of the data center equipment. Based on the environmental impact sensitive distance and the basic operating status quality index of the data center equipment, a matrix of basic operating status quality index of the data center equipment is obtained; Based on the data center equipment area information, the basic operating status quality index matrix of data center equipment, and the environmental impact coefficient of equipment area, obtain the regional equipment standard operating 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 computer room operating status information; Set up early warning information based on the data center's operational status information.

2. The method for monitoring the operational status of an IDC (Internet Data Center) server room according to claim 1, characterized in that, The acquisition of the computer room location information and the deployment of a wireless sensor network based on the computer room location information specifically include: Determine the target deployment area information, and obtain the map information of the target deployment area and the location information of the target deployment target through map tools; Obtain the location and number of data centers based on map information; Based on the location and number of data centers, obtain the surrounding geographical information and data center construction information; Based on the geographical information surrounding the data center, obtain the location information of disaster risk areas around the data center; The baseline value for disaster risk assessment is determined based on the data center location information, the deployment target location information, and the data center construction information; The fluctuation value of disaster risk assessment is determined by the location information of the disaster risk area around the data center, the location information of the data center, and the construction information of the data center. Based on the disaster risk assessment baseline and the disaster risk assessment fluctuation value, obtain the disaster risk index of the data center location; Based on the disaster risk index of the computer room location, determine the specifications of the wireless sensors; Deploy a wireless sensor network using data center location information and wireless sensor specification information.

3. The method for monitoring the operational status of an IDC (Internet Data Center) server room according to claim 2, characterized in that, The process of dividing the data center equipment into zones based on the equipment location information and basic equipment information to obtain data center equipment zone information specifically includes: Based on the basic information of the data center equipment, obtain the data center equipment name information, data center equipment type information, and data center equipment configuration information; Based on the equipment type information in the computer room, obtain the environmental requirements and power requirements of the equipment in the computer room. The fluctuation function of the data center equipment operation is obtained by using the data center equipment type information, data center equipment environment requirement information, and data center equipment power requirement information. Based on the fluctuation function of the data center equipment operation and the configuration information of the data center equipment, obtain the correlation index of the data center equipment; Based on the equipment name information and the equipment correlation index in the data center, a correlation analysis is performed on the equipment in the data center. Based on the results of the correlation analysis, the equipment in the computer room is divided into areas to obtain the equipment area information of the computer room; The formula for calculating the correlation index of the computer room equipment is as follows: In the formula, For the first The and the first The correlation index of individual computer room equipment. For the first The and the first Fluctuation function of equipment operation between individual computer room devices For the first The operating fluctuation value of individual computer room equipment For the first The operating fluctuation value of individual computer room equipment For the first The operating fluctuation value of individual computer room equipment For the first The and the first The weight of the operational fluctuation value of each computer room device For the first The and the first Error term of operating fluctuation value of individual computer room equipment For the first The and the first Attenuation factor of operating fluctuation value of individual computer room equipment For the first The and the first The degree of influence between equipment in each computer room For the first The and the first The degree of influence between equipment in each computer room For the first Individual computer room equipment The impact of individual computer room equipment on subsequent operational fluctuations and the resulting index. This represents the total number of devices in the computer room.

4. The method for monitoring the operational status of an IDC (Internet Data Center) server room according to claim 3, characterized in that, The process of obtaining the environmental impact coefficient of the equipment area by combining equipment area environmental information and basic equipment information in the computer room specifically includes: Collect historical equipment area environmental information and historical computer room equipment basic information; Based on the fluctuation function of the computer room equipment operation, historical equipment area environmental information and historical computer room equipment basic information, environmental influencing factors and historical computer room equipment operation status information are obtained. Construct a spectrum diagram of the historical data center equipment operating status using historical data center equipment operating status information; By using historical data center equipment operation status information, fault nodes are marked on the historical data center equipment operation status spectrum map, and fault areas are extracted to obtain the historical data center equipment fault operation status spectrum map. Based on the environmental information and environmental impact factors of the historical equipment area, obtain the environmental spectrum diagram of the historical equipment; Extract the running timestamps and regional environment timestamps of historical data center equipment operating status information and historical equipment regional environment information; By comparing the runtime timestamp and the regional environment timestamp, extract the environmental impact spectrum of the historical equipment that caused the failure of the historical computer room equipment from the historical equipment environment spectrum diagram; By using the spectrum diagram of historical equipment failure operation status, the spectrum diagram of historical equipment environmental impact, equipment name information and operation fluctuation impact index, an environmental impact function for the equipment area is constructed. Substitute the real-time collected equipment area environmental information and computer room equipment basic information into the equipment area environmental impact function to obtain the equipment area environmental impact coefficient; The formula for the environmental impact function of the equipment area is as follows: In the formula, For the first The initial environmental impact coefficient of the equipment area at any given time. For the first The environmental impact coefficient of the equipment area at any given time. For the first Individual computer room equipment The impact of individual computer room equipment on subsequent operational fluctuations and the resulting index. For the first The weight of each environmental factor For the first One environmental factor, For the first The influence function of each environmental factor For the first The and the first The interaction function of several environmental factors, For the computer room equipment to the first An environmental adaptation function for each environmental factor , and All are the first Weighting of the impact of environmental factors on computer room equipment For the first The frequency of periodic changes in environmental factors For the first The and the first The weighting coefficients of the interaction function of the environmental factors. For the first The and the first The attenuation factor of the interaction function of environmental factors. For the computer room equipment to the first The error value of the environmental adaptation function for each environmental factor. and For the computer room equipment in the first Sensitivity to environmental factors and degree of equipment aging This represents the total number of environmental factors.

5. The method for monitoring the operational status of an IDC (Internet Data Center) server room according to claim 4, characterized in that: The formula for calculating the basic operating status quality index of the computer room equipment is as follows: In the formula, For the first The basic operational status quality index of individual computer room equipment. For the first Each device's operating parameters For the first Hardware health indicators For the first One software status indicator, This is the time decay value. , and These are the weighting coefficients for equipment operating parameters, hardware health indicators, and software status indicators, respectively. , and These are the overall weighting coefficients for equipment operating parameters, hardware health indicators, and software status indicators, respectively. The weighting coefficient for the time decay value; The formula for expressing the basic operating status quality index matrix of the computer room equipment is as follows: In the formula, This represents a matrix representing the basic operational status quality index of the computer room equipment. Indicates the first The basic operational status quality index of individual computer room equipment. Indicates the first The basic operational status quality index of individual computer room equipment. Indicates the distance sensitive to the greatest environmental impact. Indicates the first The environmental impact sensitive distance for each computer room device Indicates the first The environmental impact sensitive distance of each computer room equipment; The formula for expressing the quality index matrix of the standard operating status of the equipment in the region is as follows: In the formula, This represents a matrix representing the basic operational status quality index of the computer room equipment. Indicates the number of equipment in the computer room area The basic operational status quality index of individual computer room equipment. Indicates the number of equipment in the computer room area The basic operational status quality index of individual computer room equipment. This indicates the maximum environmental impact sensitive distance within the computer room equipment area. Indicates the number of equipment in the computer room area The environmental impact sensitive distance for each computer room device This represents the environmental impact sensitive distance corresponding to the v-th computer room equipment within the computer room equipment area.

6. The method for monitoring the operational status of an IDC (Internet Data Center) server room according to claim 5, characterized in that, The assessment of the data center's operational status based on the regional equipment standard operating status quality index matrix yields data center operational status information, specifically including: Based on historical equipment area environmental information and historical computer room equipment basic information, set the threshold for regional equipment operation status quality index, the threshold for computer room operation status quality index, and the regional influence weight coefficient. The product of the regional equipment standard operating status quality index matrix and the corresponding regional influence weight coefficient is used as the regional equipment operating status index. Based on the equipment area information in the computer room, the operating status indicators of the equipment in all areas of the computer room are added together to obtain the computer room operating status quality index. Based on the data center operation status quality index and the data center operation status quality index threshold, the data center operation status quality index is evaluated to obtain the first evaluation information; Based on the first assessment information and the regional equipment operation status quality index threshold, the regional equipment operation status indicators are assessed to obtain the second assessment information; Based on the first and second assessment information, the operating status of the data center is assessed to obtain the data center operating status information.

7. An IDC (Internet Data Center) data center operation status monitoring device, used to implement the monitoring method as described in any one of claims 1-6, characterized in that, include: The central monitoring module is used to acquire the location information of the computer room and deploy a wireless sensor network based on the location information of the computer room; The sensor module is used to collect environmental information of the equipment area based on the wireless sensor network and the equipment area information of the computer room; The data processing module receives data and information sent by the acquisition module, transmits the data and information to the computing unit for calculation, obtains the environmental impact coefficient of the equipment area and the quality index matrix of the standard operating status of the equipment in the area, sets early warning information based on the computer room operating status information, and sends the early warning information to the central monitoring module. The evaluation module is used to evaluate the operating status of equipment in different areas of the computer room through the operating status database, equipment area environmental impact coefficient and computer room equipment area information, and evaluate the computer room operating status based on the regional equipment standard operating status quality index matrix to obtain computer room operating status information. The display module is used to display the monitoring process and results of the central module.

8. The IDC data center operation status monitoring device according to claim 7, characterized in that, The central monitoring module includes: The acquisition unit is used to acquire the location information of the computer room; Deployment unit, the deployment unit being used to deploy a wireless sensor network based on the computer room location information; An alarm unit is used to receive early warning information sent by the data processing module and determine whether to send alarm information.

9. The IDC data center operation status monitoring device according to claim 7, characterized in that, The data processing module includes: The receiving unit is used to receive data and information sent by the acquisition module and transmit the data and information to the computing unit for calculation. The calculation unit is used to obtain the environmental impact coefficient of the equipment area and the quality index matrix of the standard operating status of the equipment in the area; The early warning unit is used to set early warning information based on the computer room operation status information and send the early warning information to the central monitoring module.

10. The IDC data center operation status monitoring device according to claim 7, characterized in that, The evaluation module includes: The first evaluation unit is used to evaluate the operating status of equipment in different areas of the computer room by using the operating status database, the environmental impact coefficient of the equipment area, and the equipment area information of the computer room. The second evaluation unit is used to evaluate the operating status of the computer room based on the regional equipment standard operating status quality index matrix, and obtain the computer room operating status information.

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