Machine room equipment intelligent supervision system and method based on Internet of Things

Abstract

The invention discloses a machine room equipment intelligent supervision system and method based on the Internet of Things, and relates to the technical field of the Internet of Things. Acquiring running state data and data interaction records of the equipment; environment data influence evaluation is carried out on each device by constructing a machine room node plane model, environment influence hierarchy division is carried out on each device, and a same-hierarchy environment influence node device chain of a machine room is determined; obtaining an influence environment area corresponding to the corresponding node equipment chain and carrying out environment influence comprehensive analysis; performing collaborative operation risk assessment on the two pieces of equipment with interaction records by combining the equipment interaction records with the environmental influence assessment data of the equipment and the environmental influence comprehensive analysis data of the area where the equipment is located; the environment data and the operation data of the equipment in the machine room are fed back through a visual port, interaction records and collaborative risk assessment data between the equipment are output, and the risk operation equipment is warned.

Description

Technical Field

[0001] The present invention relates to the field of the Internet of Things, and in particular to an intelligent supervision system and method for computer room equipment based on the Internet of Things. Background Art

[0002] The intelligent supervision of computer room equipment based on the Internet of Things is to collect and monitor the status data of various equipment in the computer room in real time by integrating sensors, communication technologies, and data intelligent analysis, and to use data analysis and early warning mechanisms to achieve automatic monitoring of the computer room environment and equipment status, thereby improving the operation efficiency and reliability of the computer room;

[0003] At present, the monitoring and management of computer room equipment are mostly traditional environmental monitoring and manual detection. Abnormal environmental alarms and equipment performance alarms are set by setting warning values, and abnormal detection of equipment is carried out through regular manual inspections; however, this mode is too inefficient, and it lacks comprehensive analysis of the changes in equipment environment and status during equipment operation; moreover, the abnormal detection of traditional modes often discovers abnormalities laggingly, and the detection of abnormal equipment is often single-target detection, which cannot detect risks for data interaction between equipment and lacks effective analysis means for discovering risks of associated equipment. Summary of the Invention

[0004] The purpose of the present invention is to provide an intelligent supervision system and method for computer room equipment based on the Internet of Things to solve the problems raised in the prior art.

[0005] To achieve the above purpose, the present invention provides the following technical solutions:

[0006] An intelligent supervision method for computer room equipment based on the Internet of Things, the method includes the following steps:

[0007] S100. Real-time collect the operation environment data of computer room equipment by deploying an environmental sensing and monitoring network in the computer room; capture the equipment transmission data through the data port to obtain the operation status data and data interaction records of the equipment;

[0008] S200. According to the collected computer room equipment environment data, equipment operation status data, and equipment data interaction records, construct a computer room node plane model for equipment information simulation; evaluate the environmental data impact on each equipment according to the computer room node plane model, divide the environmental impact levels of each equipment based on the evaluation data, and perform association processing on equipment nodes at the same level to determine the equipment chain of computer room environmental impact nodes at the same level;

[0009] S300. Obtain the environmental impact areas of the equipment in the computer room corresponding to the corresponding node device chain and conduct a comprehensive analysis of the environmental impacts in the corresponding areas; through the equipment interaction records, combined with the environmental impact assessment data of the corresponding equipment and the comprehensive analysis data of the environmental impacts in the areas where the corresponding equipment is located, conduct a collaborative operation risk assessment on the two equipment with interaction records;

[0010] S400. Through the visual port, feedback the environmental data and operation data of the computer room equipment, output the interaction records between the devices and the corresponding collaborative risk assessment data, and give a warning to the equipment with risky operations.

[0011] The specific steps of the above-mentioned S100 are as follows:

[0012] S101. Deploy an environmental sensing network in the computer room to obtain the environmental data of each device in the computer room and the environmental data of the overall computer room space in real time; among them, the environmental sensing network is an environmental sensing Internet of Things network constructed by various types of environmental sensors, used to collect corresponding various types of environmental data; by controlling the deployment positions of the sensors, real-time collection of the environmental data of the equipment and the environmental data of the overall computer room space is realized; the equipment environmental data refers to the environmental data collected within the defined distance around the equipment; the environmental data of the overall computer room space refers to the average value of various types of environmental data in the computer room space; among them, the environmental data includes temperature, humidity, etc.; the defined distance is the distance manually divided for the sensor to sense the equipment environmental data;

[0013] S102. Use the monitoring data port to synchronously capture the operation transmission data of each device, obtain the real-time operation status data of each device, and record the interaction records of each device; among them, the equipment operation status data includes CPU usage rate, memory usage rate, disk occupancy rate, network traffic, etc.

[0014] The specific steps of the above-mentioned S200 are as follows:

[0015] S201. According to the environmental data, equipment operation data, and equipment interaction record data collected for each device in the computer room, construct a computer room node plane model for equipment information simulation; conduct node mapping simulation according to the distribution positions of the equipment in the actual space computer room, and associate and display the real-time environmental information, operation status information, and data interaction records of the corresponding node equipment to realize the real-time information simulation of the computer room equipment;

[0016] S202. According to the environmental data corresponding to each equipment node in the computer room node plane model, conduct a real-time environmental impact assessment on each equipment, and its calculation formula is

[0017]

[0018] Among them, Rei(n) is the real-time environmental drop impact assessment index of the device corresponding to node number n; H(k) is the increase impact coefficient of the environmental data corresponding to type number k; E(n,k) is the real-time environmental data of the device corresponding to node number n and type number k; E(p,k) is the average value of the real-time environmental data of type number k in the overall computer room space; E(n,k) max is the allowable maximum value of the environmental data of the device corresponding to node number n and type number k; E(n,k) min is the allowable minimum value of the environmental data of the device corresponding to node number n and type number k;

[0019] Based on the real-time environmental impact assessment data of the environmental data of each device corresponding node in the computer room, hierarchical division is carried out for each node device; by determining the judgment error interval, the real-time environmental drop impact assessment index of each node device is determined at the same level; the real-time environmental drop impact assessment indexes of each device in the computer room are sorted overall and the central value is determined. Taking the node device corresponding to the central value as the initial target of hierarchical division, the node devices in the same error interval as the central value are divided into the same level; for the remaining node devices, the adjacent node devices that have been divided into levels are used as the target of hierarchical division to divide the node devices that have not been divided into levels at the same level until all the computer room node devices are completely divided; according to the hierarchical division results of each node device, node association is carried out for the node devices at the same level, and the node devices at the same level are connected in sequence to obtain the corresponding level node device chain; among them, the central value is the size sorting of the real-time environmental drop impact assessment indexes of each device, and the midpoint value is taken; if there is no midpoint value, any node device adjacent to the midpoint value is taken as the initial target of hierarchical division.

[0020] The specific steps of S300 are as follows:

[0021] S301. Retrieve the node device chains of each level in the computer room node plane model. By mapping each corresponding device in the actual computer room, determine the actual computer room devices corresponding to each level node device chain, and determine the actual device environment area corresponding to each level node device chain; conduct a comprehensive environmental assessment and analysis on the actual device area of the computer room corresponding to each level node device chain, and its calculation formula is

[0022]

[0023] Among them, Cei(z) is the comprehensive evaluation value of the regional integration environment of the environmental area where the node device chain with the corresponding number z is located; Rei(z,m) is the real-time environmental drop impact evaluation index of the node device with the corresponding number m in the node device chain with the corresponding number z; S(z) is the integration area of the environmental area where the node device chain with the number z is located; m(z) is the number of node devices in the node device chain with the corresponding number z; among them, the integration area is the sum of the environmental monitoring and defining distance area of each device in each node device chain;

[0024] S302. Determine the interaction records of each node device in the computer room node plane model, overall plan the devices with data interaction respectively, and construct a computer room device interaction set; retrieve the operation status data of each device in the computer room device interaction set, and evaluate the real-time operation status of each device. The calculation formula is

[0025]

[0026] Among them, Sai(y) is the real-time operation status evaluation value of the device with the number y in the corresponding computer room device interaction set; D(j) is the evaluation parameter of the status data of the device with the corresponding type number j; G(y,j) is the status data of the corresponding type number j of the device with the number y in the corresponding computer room device interaction set; j is the number of type numbers of device status data;

[0027] Based on the environmental impact evaluation data, the corresponding operation status evaluation data, and the comprehensive environmental evaluation data of the environment area where each device is located in the computer room device interaction set, construct the feature vector of the operation status of the corresponding device, and conduct data interaction collaboration risk analysis on any two devices with interaction records. The calculation formula is

[0028]

[0029] Among them, CRA(y1,y2) is the data interaction collaboration risk evaluation value between the devices with the numbers y1 and y2 with interaction records in the corresponding computer room device interaction set; Y1 and Y2 are the operation status feature vectors of the devices with the numbers y1 and y2 with interaction records in the corresponding computer room device interaction set respectively; E is the mean vector of the operation status feature vectors of each device in the corresponding computer room device interaction set; S is the covariance matrix of the operation status feature vectors of each device in the corresponding computer room device interaction set; among them, the operation status feature vectors of the devices with y1 and y2 are (Rei(y1), Cei(y1), Sai(y1)) and (Rei(y2), Cei(y2), Sai(y2));

[0030] Give the safe range of data interaction and collaboration risks between devices through manual evaluation by combining historical data; if the data interaction and collaboration risk assessment value between any two devices belongs to the safe range of data interaction and collaboration risks, it is determined that the data interaction between the current two devices is normal; if the data interaction and collaboration risk assessment value between any two devices does not belong to the safe range of data interaction and collaboration risks, it is determined that there is risk data interaction between the current two devices, and risk identification is performed on the current two devices.

[0031] The steps of S400 are as follows:

[0032] S401. Use the visual port to output the plane model of the computer room nodes, and output the real-time environment data and operation status data of each node device in the model;

[0033] S402. Store the environmental data evaluation data, operation status evaluation data, node device chain construction data, environmental analysis data corresponding to the data chain of node devices, and device interaction and collaboration risk analysis data of each device in the computer room node plane model, and give risk warnings to the devices with data interaction risks.

[0034] An intelligent supervision system for computer room equipment based on the Internet of Things, the system includes a multi-source data acquisition module, a model construction module, a risk anomaly assessment module, and a comprehensive feedback module;

[0035] The multi-source data acquisition module collects the real-time operation environment data of computer room equipment by deploying an environmental sensing monitoring network in the computer room; captures the device transmission data through the data port to obtain the operation status data and data interaction records of the device; the model construction module constructs a plane model of computer room nodes for equipment information simulation according to the collected computer room equipment environment data, equipment operation status data, and equipment data interaction records; conducts an environmental data impact assessment on each device according to the plane model of computer room nodes, divides the environmental impact levels of each device based on the assessment data, and associates the device nodes at the same level to determine the device chain of the environmental impact nodes at the same level in the computer room; the risk anomaly assessment module obtains the environmental area affected by the corresponding computer room equipment of the corresponding node device chain and conducts a comprehensive analysis of the environmental impact of the corresponding area; through the device interaction record, combined with the environmental impact assessment data of the corresponding device and the comprehensive analysis data of the environmental impact of the area where the corresponding device is located, conducts a collaborative operation risk assessment on the two devices with interaction records; the comprehensive feedback module feeds back the environmental data and operation data of the computer room equipment through the visual port, outputs the interaction records between each device and the corresponding collaborative risk assessment data, and gives warnings to the devices with risk operations.

[0036] The multi-source data acquisition module includes a device environmental data acquisition unit and a device operation data retrieval unit;

[0037] The device environment data acquisition unit deploys an environmental sensing network in the computer room to obtain in real time the environmental data of each device and the overall spatial environmental data of the computer room;

[0038] The device operation data retrieval unit uses the monitoring data port to synchronously capture the operation transmission data of each device, obtains the real-time operation status data of each device, and records the interaction records of each device.

[0039] The model construction module includes a node model construction unit and a node device chain construction unit;

[0040] The node model construction unit constructs a computer room node plane model for device information simulation according to the environmental data, device operation data, and device interaction record data collected for each device in the computer room; performs node mapping simulation according to the distribution positions of the devices in the actual space computer room, and associates and displays the real-time environmental information, operation status information, and data interaction records of the corresponding node devices to realize the real-time information simulation of the computer room devices;

[0041] The node device chain construction unit conducts a real-time environmental impact assessment on each device according to the environmental data corresponding to each device node in the computer room node plane model; divides each node device into levels based on the real-time environmental impact assessment data of the environmental data corresponding to each device node in the computer room; determines the same-level real-time environmental drop impact assessment index for each node device by determining the judgment error interval; conducts an overall ranking on the real-time environmental drop impact assessment index of each device in the computer room and determines the central value, takes the node device corresponding to the central value as the initial target for level division, and divides the node devices in the same error interval as the central value into the same level; for the remaining node devices, takes the node devices adjacent to the already divided levels as the target for level division to divide the undivided node devices into the same level until all the computer room node devices are completely divided; according to the level division results of each node device, conducts node association on the node devices at the same level, and sequentially connects the node devices at the same level to obtain the corresponding level node device chain.

[0042] The risk and anomaly assessment module includes a regional comprehensive environment assessment unit and a device interaction risk assessment unit;

[0043] The regional comprehensive environment assessment unit retrieves the node device chains at each level in the computer room node plane model, determines the actual computer room devices corresponding to each level node device chain by mapping the corresponding devices in the actual computer room, and determines the actual device environment areas corresponding to each level node device chain; conducts a comprehensive environment assessment and analysis on the actual device areas in the computer room corresponding to each level node device chain;

[0044] The device interaction risk assessment unit determines the interaction records of each node device in the computer room node plane model, coordinates the devices with data interaction respectively, and constructs a computer room device interaction set; retrieves the operation status data of each device in the computer room device interaction set, and conducts real-time operation status assessment on each device; based on the environmental impact assessment data, corresponding operation status assessment data of each device in the computer room device interaction set, and the comprehensive environmental assessment data of the environment area where the corresponding device is located, constructs a feature vector of the operation status of the corresponding device, and conducts data interaction collaboration risk analysis on any two devices with interaction records; gives a data interaction collaboration risk safety interval through manual assessment by combining historical data; if the data interaction collaboration risk assessment value between any two devices belongs to the data interaction collaboration risk safety interval, it is determined that the data interaction between the current two devices is normal; if the data interaction collaboration risk assessment value between any two devices does not belong to the data interaction collaboration risk safety interval, it is determined that there is risk data interaction in the data interaction between the current two devices, and risk identification is performed on the current two devices.

[0045] The comprehensive feedback module includes a visual output unit and a risk anomaly warning unit;

[0046] The visual output unit outputs the computer room node plane model through a visual port, and outputs the real-time environmental data and operation status data of each node device in the model;

[0047] The risk anomaly warning unit stores the environmental data assessment data, operation status assessment data, node device chain construction data, environmental analysis data of the area corresponding to the node device data chain, and data interaction collaboration risk analysis data of each device in the computer room node plane model, and gives a risk warning to the device with data interaction risk.

[0048] Compared with the prior art, the beneficial effects of the present invention are:

[0049] The present invention utilizes the Internet of Things platform to construct an Internet of Things sensing network in the computer room to realize real-time collection of equipment environment data and operation status data in the computer room; constructs a node model based on the collected data to realize node mapping of computer room equipment, and divides the equipment levels by comprehensively analyzing the environmental impact data of each equipment to construct a node equipment chain; determines the corresponding equipment fusion area of the actual computer room according to the node equipment chain, and comprehensively evaluates the environment of the fusion area; constructs a set based on the interaction records of each equipment, constructs feature vectors for each interacting equipment in the set, and performs interaction collaboration risk assessment based on any two interacting equipment, and determines whether there is an interaction risk for the equipment based on the assessment result; through a series of analysis and processing, the present invention comprehensively analyzes the environmental data impact data and operation status data of computer room equipment, and through regional association analysis of equipment and combined with equipment interaction conditions for risk assessment, realizes intelligent monitoring of computer room equipment and precise data analysis, improves the inefficient equipment detection of the traditional mode, improves the early warning of equipment interaction risks, and improves the multifunctionality of computer room equipment monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 It is a schematic structural diagram of an intelligent supervision system for computer room equipment based on the Internet of Things according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0051] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0052] Embodiment: As Figure 1 shown, the present invention provides a technical solution:

[0053] An intelligent supervision method for computer room equipment based on the Internet of Things, the method includes the following steps:

[0054] S100. Real-time collect the operation environment data of computer room equipment by deploying an environmental sensing monitoring network in the computer room; capture the equipment transmission data through the data port to obtain the operation status data and data interaction records of the equipment;

[0055] S200. According to the collected computer room equipment environment data, equipment operation status data and equipment data interaction records, construct a computer room node plane model for equipment information simulation; evaluate the environmental data impact of each equipment according to the computer room node plane model, divide the environmental impact levels of each equipment based on the evaluation data, and perform association processing on the equipment nodes at the same level to determine the equipment chain of the environmental impact nodes at the same level in the computer room;

[0056] S300. Obtain the environmental impact areas of the equipment in the computer room corresponding to the node device chain and conduct a comprehensive analysis of the environmental impacts in the corresponding areas; based on the equipment interaction records, combined with the environmental impact assessment data of the corresponding equipment and the comprehensive analysis data of the environmental impacts in the areas where the corresponding equipment is located, conduct a collaborative operation risk assessment on the two devices with interaction records;

[0057] S400. Through the visual port, feedback the environmental data and operation data of the computer room equipment, output the interaction records between each device and the corresponding collaborative risk assessment data, and give a warning to the devices with risky operations.

[0058] The specific steps of the said S100 are as follows:

[0059] S101. Deploy an environmental sensing network in the computer room to obtain the environmental data of each device in the computer room and the environmental data of the overall space of the computer room in real time;

[0060] S102. Use the monitoring data port to synchronously capture the operation transmission data of each device, obtain the real-time operation status data of each device, and record the interaction records of each device.

[0061] The specific steps of the said S200 are as follows:

[0062] S201. According to the environmental data, equipment operation data, and equipment interaction record data collected for each device in the computer room, construct a computer room node plane model for equipment information simulation; conduct node mapping simulation according to the distribution positions of the equipment in the actual space computer room, and associate and display the real-time environmental information, operation status information, and data interaction records of the corresponding node devices to achieve real-time information simulation of the computer room equipment;

[0063] S202. According to the environmental data of each device node in the computer room node plane model, conduct a real-time environmental impact assessment on each device, and its calculation formula is

[0064]

[0065] where Rei(n) is the real-time environmental drop impact assessment index of the device with the corresponding node number n; H(k) is the increase impact coefficient of the environmental data of the corresponding type number k; E(n,k) is the real-time environmental data of the device with the corresponding node number n and the corresponding type number k; E(p,k) is the average value of the real-time environmental data of the corresponding type number k in the overall space of the computer room; E(n,k) max is the allowable maximum value of the environmental data of the device with the corresponding node number n and the corresponding type number k; E(n,k) min is the allowable minimum value of the environmental data of the device with the corresponding node number n and the corresponding type number k;

[0066] Based on the real-time environmental impact assessment data of the node environment data corresponding to each device in the computer room, hierarchical division is performed on each node device; by determining the judgment error interval, the real-time environmental drop impact assessment index of each node device is determined at the same level; the real-time environmental drop impact assessment indexes of each device in the computer room are sorted overall and the central value is determined. Taking the node device corresponding to the central value as the initial target of hierarchical division, the node devices in the same error interval as the central value are divided into the same level; for the remaining node devices, the node devices that have not been divided are divided into the same level with the node devices adjacent to the divided levels as the hierarchical division target until all the node devices in the computer room are completely divided; according to the hierarchical division results of each node device, node association is performed on the node devices at the same level, and the node devices at the same level are connected in sequence to obtain the corresponding hierarchical node device chain.

[0067] The specific steps of S300 are as follows:

[0068] S301. Retrieve the node device chains of each level in the computer room node plane model. By mapping each corresponding device in the actual computer room, determine the actual computer room devices corresponding to each level of node device chains, and determine the actual device environment areas corresponding to each level of node device chains; conduct a comprehensive environmental assessment and analysis on the actual device areas of each level of node device chains in the computer room. The calculation formula is

[0069]

[0070] Among them, Cei(z) is the comprehensive evaluation value of the regional integration environment of the environmental area where the node device chain with the corresponding number z is located; Rei(z,m) is the real-time environmental drop impact assessment index of the node device with the corresponding number m in the node device chain with the corresponding number z; S(z) is the fusion area of the environmental area where the node device chain with the number z is located; m(z) is the number of node devices in the node device chain with the corresponding number z.

[0071] S302. Determine the interaction records of each node device in the computer room node plane model, overall plan the devices with data interaction respectively and construct a computer room device interaction set; retrieve the operation status data of each device in the computer room device interaction set, and conduct a real-time operation status assessment on each device. The calculation formula is

[0072]

[0073] Among them, Sai(y) is the real-time operation status assessment value of the device with the number y in the corresponding computer room device interaction set; D(j) is the evaluation parameter of the status data of the device with the corresponding type number j; G(y,j) is the status data of the corresponding type number j of the device with the number y in the corresponding computer room device interaction set; j is the number of type numbers of device status data.

[0074] Based on the environmental impact assessment data of each device in the computer room equipment interaction set, the corresponding operation status assessment data, and the comprehensive environmental assessment data of the environmental area where the corresponding device is located, construct the feature vector of the operation status of the corresponding device, and perform data interaction collaboration risk analysis on any two devices with interaction records. The calculation formula is

[0075]

[0076] Among them, CRA(y1, y2) is the data interaction collaboration risk assessment value between the devices with numbers y1 and y2 with interaction records in the corresponding computer room equipment interaction set; Y1 and Y2 respectively correspond to the operation status feature vectors of the devices with numbers y1 and y2 with interaction records in the computer room equipment interaction set; E is the mean vector of the operation status feature vectors of each device in the corresponding computer room equipment interaction set; S is the covariance matrix of the operation status feature vectors of each device in the corresponding computer room equipment interaction set;

[0077] Give the data interaction collaboration risk safety interval through manual evaluation by combining historical data; if the data interaction collaboration risk assessment value between any two devices belongs to the data interaction collaboration risk safety interval, it is judged that the data interaction between the current two devices is normal; if the data interaction collaboration risk assessment value between any two devices does not belong to the data interaction collaboration risk safety interval, it is judged that there is risk data interaction between the current two devices, and then risk identification is performed on the current two devices.

[0078] The steps of S400 are as follows:

[0079] S401. Use the visual port to output the computer room node plane model, and output the real-time environmental data and operation status data of each node device in the model;

[0080] S402. Store the environmental data assessment data, operation status assessment data, node device chain construction data, environmental analysis data corresponding to the node device data chain, and data interaction collaboration risk analysis data of each device in the computer room node plane model, and give a risk warning to the devices with data interaction risks.

[0081] An intelligent supervision system for computer room equipment based on the Internet of Things, the system includes a multi-source data acquisition module, a model construction module, a risk anomaly assessment module, and a comprehensive feedback module;

[0082] The multi-source data acquisition module collects the operation environment data of computer room equipment in real time by deploying an environmental sensing and monitoring network in the computer room; captures the device transmission data through the data port to obtain the operation status data and data interaction records of the device; the model construction module constructs a computer room node plane model for device information simulation according to the collected computer room equipment environment data, device operation status data and device data interaction records; evaluates the impact of environmental data on each device according to the computer room node plane model, divides the environmental impact levels of each device based on the evaluation data, and performs association processing on the device nodes at the same level to determine the computer room environmental impact node device chain at the same level; the risk anomaly evaluation module obtains the environmental area affected by the computer room equipment corresponding to the corresponding node device chain and conducts a comprehensive analysis of the environmental impact of the corresponding area; through the device interaction record, combined with the environmental impact evaluation data of the corresponding device and the comprehensive analysis data of the environmental impact of the area where the corresponding device is located, conducts a collaborative operation risk assessment on the two devices with interaction records; the comprehensive feedback module feeds back the environmental data and operation data of the computer room equipment through the visual port, outputs the interaction records between the devices and the corresponding collaborative risk assessment data, and warns the devices with risky operations.

[0083] The multi-source data acquisition module includes a device environment data acquisition unit and a device operation data retrieval unit;

[0084] The device environment data acquisition unit deploys an environmental sensing network in the computer room to obtain the environmental data of each device in the computer room and the overall space environmental data of the computer room in real time;

[0085] The device operation data retrieval unit synchronously captures the operation transmission data of each device by using the monitoring data port, obtains the real-time operation status data of each device, and records the interaction records of each device.

[0086] The model construction module includes a node model construction unit and a node device chain construction unit;

[0087] The node model construction unit constructs a computer room node plane model for device information simulation according to the environmental data, device operation data and device interaction record data collected for each device in the computer room; conducts node mapping simulation according to the distribution position of the computer room equipment in the actual space, and associates and displays the real-time environmental information, operation status information and data interaction records of the corresponding node devices to realize the real-time information simulation of the computer room equipment;

[0088] The node device chain construction unit conducts real-time environmental impact assessment on each device according to the environmental data corresponding to each device node in the computer room node plane model; based on the real-time environmental impact assessment data of the node environmental data corresponding to each device in the computer room, hierarchical division is carried out on each node device; by determining the judgment error range, the real-time environmental drop impact assessment index of each node device is determined at the same level; the real-time environmental drop impact assessment indexes of each device in the computer room are sorted overall and the central value is determined. Taking the node device corresponding to the central value as the initial target of hierarchical division, the node devices in the same error range as the central value are divided into the same level; for the remaining node devices, taking the node devices adjacent to the already divided levels as the target of hierarchical division, the node devices that have not been divided are divided into the same level until all the computer room node devices are completely divided; according to the hierarchical division results of each node device, node association is carried out on the node devices at the same level, and the node devices at the same level are connected in sequence to obtain the corresponding hierarchical node device chain.

[0089] The risk anomaly assessment module includes a regional comprehensive environment assessment unit and a device interaction risk assessment unit;

[0090] The regional comprehensive environment assessment unit retrieves the node device chains at each level in the computer room node plane model, determines the actual computer room devices corresponding to each level of node device chain by mapping each corresponding device in the actual computer room, and determines the actual device environment area corresponding to each level of node device chain; conducts comprehensive environment assessment and analysis on the actual device areas of the computer room corresponding to each level of node device chain;

[0091] The device interaction risk assessment unit determines the interaction records of each node device in the computer room node plane model, overall plans and constructs the computer room device interaction set for the devices with data interaction respectively; retrieves the operation status data of each device in the computer room device interaction set, and conducts real-time operation status assessment on each device; based on the environmental impact assessment data, the corresponding operation status assessment data and the comprehensive environmental assessment data of the corresponding device environment area of each device in the computer room device interaction set, constructs the feature vector of the operation status of the corresponding device, and conducts data interaction collaborative risk analysis on any two devices with interaction records; gives the data interaction collaborative risk safety interval through manual assessment by combining historical data; if the data interaction collaborative risk assessment value between any two devices belongs to the data interaction collaborative risk safety interval, it is judged that the data interaction between the current two devices is normal; if the data interaction collaborative risk assessment value between any two devices does not belong to the data interaction collaborative risk safety interval, it is judged that there is risk data interaction in the data interaction between the current two devices, and risk identification is carried out on the current two devices.

[0092] The comprehensive feedback module includes a visualization output unit and a risk anomaly warning unit;

[0093] The visualization output unit outputs the computer room node plane model through a visual port, and outputs the real-time environment data and operation status data of each node device in the model;

[0094] The risk anomaly warning unit stores the environmental data evaluation data, operation status evaluation data, node device chain construction data, environmental analysis data corresponding to the data chain of node devices, and device interaction and collaboration risk analysis data of each device in the computer room node plane model, and warns of risks for devices with data interaction risks;

[0095] In the embodiment:

[0096] Currently, a monitoring terminal in a certain computer room adopts the computer room equipment intelligent supervision system based on the Internet of Things of the present invention to supervise the computer room equipment. It deploys an environmental sensing network in the computer room to obtain the environmental data of each device in the computer room and the overall spatial environmental data of the computer room in real time; uses a monitoring data port to synchronously capture the operation and transmission data of each device, obtains the real-time operation status data of each device, and records the interaction records of each device;

[0097] According to the environmental data, device operation data, and device interaction record data collected for each device in the computer room, a computer room node plane model is constructed for device information simulation; node mapping simulation is carried out according to the distribution position of the actual space computer room equipment, and the real-time environmental information, operation status information, and data interaction records of the corresponding node devices are displayed in a node association manner to realize the real-time information simulation of the computer room equipment; according to the environmental data corresponding to each device node in the computer room node plane model, a real-time environmental impact assessment is carried out for each device, and its calculation formula is

[0098]

[0099] Based on the real-time environmental impact assessment data of the environmental data corresponding to each device node in the computer room, hierarchical classification is carried out for each node device; the real-time environmental drop impact assessment index of each node device is determined at the same level by determining the judgment error interval; the real-time environmental drop impact assessment indexes of each device in the computer room are sorted overall and the central value is determined. The node device corresponding to the central value is used as the initial target for hierarchical classification, and the node devices in the same error interval as the central value are classified into the same level; for the remaining node devices, the node devices that are adjacent to the already classified levels are used as the target for hierarchical classification to classify the unclassified node devices at the same level until all the computer room node devices are completely classified; according to the hierarchical classification results of each node device, node association is carried out for the node devices at the same level, and the node devices at the same level are connected in sequence to obtain the corresponding level node device chain;

[0100] Retrieve the node device chains at each level in the computer room node plane model. By mapping the corresponding devices in the actual computer room, determine the actual computer room devices corresponding to the node device chains at each level, and determine the actual device environment areas corresponding to the node device chains at each level; conduct a comprehensive environmental assessment and analysis on the actual device areas in the computer room corresponding to the node device chains at each level. The calculation formula is

[0101]

[0102] Determine the interaction records of each node device in the computer room node plane model, overall plan the devices with data interaction respectively, and construct a computer room device interaction set; retrieve the operation status data of each device in the computer room device interaction set, and conduct a real-time operation status assessment on each device. The calculation formula is

[0103]

[0104] Based on the environmental impact assessment data, corresponding operation status assessment data, and comprehensive environmental assessment data of the environment area where the corresponding devices are located in the computer room device interaction set, construct a feature vector of the operation status of the corresponding devices, and conduct a data interaction collaboration risk analysis on any two devices with interaction records. The calculation formula is

[0105]

[0106] Give a safe interval for the data interaction collaboration risk between devices through manual assessment by combining historical data; if the data interaction collaboration risk assessment value between any two devices belongs to the safe interval of the data interaction collaboration risk, it is judged that the data interaction between the current two devices is normal; if the data interaction collaboration risk assessment value between any two devices does not belong to the safe interval of the data interaction collaboration risk, it is judged that there is risk data interaction in the data interaction between the current two devices, and then risk identification is carried out on the current two devices;

[0107] Output the computer room node plane model using a visual port, and output the real-time environmental data and operation status data of each node device in the model; store the environmental data assessment data, operation status assessment data, node device chain construction data, regional environmental analysis data corresponding to the node device data chain, and data interaction collaboration risk analysis data of each device in the computer room node plane model, and give a risk warning for the devices with data interaction risks.

[0108] It is obvious to those skilled in the art that the present invention is not limited to the details of the above-described exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be embraced within the present invention. Any reference signs in the claims should not be construed as limiting the claims involved.

Claims

1. An intelligent supervision method for computer room equipment based on the Internet of Things, characterized in that: The method includes the following steps: S100. Real-time collect the operation environment data of the equipment in the computer room by deploying an environment sensing and monitoring network in the computer room; capture the equipment transmission data through the data port to obtain the operation status data and data interaction records of the equipment; S200. Construct a computer room node plane model for equipment information simulation according to the collected computer room equipment environment data, equipment operation status data and equipment data interaction records; conduct an environmental data impact assessment on each equipment according to the computer room node plane model, divide the environmental impact levels of each equipment based on the assessment data, and conduct an association process on the equipment nodes at the same level to determine the equipment chain of the environmental impact nodes at the same level in the computer room; S300. Obtain the environmental area affected by the computer room equipment corresponding to the corresponding node equipment chain and conduct a comprehensive analysis of the environmental impact of the corresponding area; conduct a collaborative operation risk assessment on the two equipment with interaction records by combining the equipment interaction records with the environmental impact assessment data of the corresponding equipment and the comprehensive analysis data of the environmental impact of the area where the corresponding equipment is located; S400. Feed back the environmental data and operation data of the computer room equipment through the visual port, output the interaction records and the corresponding collaborative risk assessment data between the equipment, and give a warning to the equipment with risky operation.

2. The intelligent supervision method for computer room equipment based on the Internet of Things according to claim 1, wherein: The specific steps of S100 are as follows: S101. Deploy an environmental sensing network in the computer room to obtain the environmental data of each equipment in the computer room and the overall space environmental data of the computer room in real time; S102. Synchronously capture the operation transmission data of each equipment by using the monitoring data port, obtain the real-time operation status data of each equipment, and record the interaction records of each equipment.

3. The intelligent supervision method for computer room equipment based on the Internet of Things according to claim 2, characterized in that: The specific steps of S200 are as follows: S201. Construct a computer room node plane model for equipment information simulation according to the environmental data, equipment operation data and equipment interaction record data collected for each equipment in the computer room; Conduct node mapping simulation according to the distribution position of the equipment in the actual space computer room, and display the real-time environmental information, operation status information and data interaction records of the corresponding node equipment in a node association manner to realize the real-time information simulation of the computer room equipment; S202. Conduct a real-time environmental impact assessment on each equipment according to the environmental data corresponding to each equipment node in the computer room node plane model, and its calculation formula is Among them, Rei(n) is the real-time environmental drop impact assessment index of the device corresponding to node number n; H(k) is the increase impact coefficient of environmental data corresponding to type number k; E(n,k) is the real-time environmental data of the device corresponding to node number n and corresponding to type number k; E(p,k) is the average value of the real-time environmental data of type number k in the overall computer room space; E(n,k) max is the allowable maximum value of the environmental data of the device corresponding to node number n and corresponding to type number k; E(n,k) min is the allowable minimum value of the environmental data of the device corresponding to node number n and corresponding to type number k; Based on the real-time environmental impact assessment data of the environmental data corresponding to each equipment node in the computer room, conduct a hierarchical division of each node equipment; determine the same level of the real-time environmental drop impact assessment index of each node equipment by determining the judgment error range; conduct an overall sorting of the real-time environmental drop impact assessment index of each equipment in the computer room and determine the central value, take the node equipment corresponding to the central value as the initial target of hierarchical division, and divide the node equipment in the same error range as the central value into the same level; for the remaining node equipment, take the node equipment adjacent to the already divided level as the hierarchical division target to conduct the same-level division of the un-divided node equipment until all the computer room node equipment is completely divided; According to the hierarchical division results of each node equipment, conduct node association on the equipment nodes at the same level, and sequentially connect the equipment nodes at the same level to obtain the corresponding level node equipment chain.

4. The intelligent supervision method for computer room equipment based on the Internet of Things according to claim 3, characterized in that: The specific steps of S300 are as follows: S301. Retrieve the node device chains at each level in the computer room node plane model. By mapping the corresponding devices in the actual computer room, determine the actual computer room devices corresponding to the node device chains at each level, and determine the actual device environment areas corresponding to the node device chains at each level. Conduct a comprehensive environmental assessment and analysis on the actual device areas in the computer room corresponding to the node device chains at each level. The calculation formula is where Cei(z) is the comprehensive assessment value of the regional integration environment of the environmental area where the node device chain with the corresponding number z is located; Rei(z,m) is the real-time environmental drop impact assessment index of the node device with the corresponding number m in the node device chain with the corresponding number z; S(z) is the fusion area of the environmental area where the node device chain with the number z is located; m(z) is the number of node devices in the node device chain with the corresponding number z; S302. Determine the interaction records of each node device in the computer room node plane model, coordinate the devices with data interaction respectively, and construct a computer room device interaction set. Retrieve the operation status data of each device in the computer room device interaction set, and conduct a real-time operation status assessment on each device. The calculation formula is where Sai(y) is the real-time operation status assessment value of the device with the number y in the corresponding computer room device interaction set; D(j) is the assessment parameter of the status data of the device with the corresponding type number j; G(y,j) is the status data of the corresponding type number j of the device with the number y in the corresponding computer room device interaction set; j is the number of type numbers of the device status data; Based on the environmental impact assessment data, the corresponding operation status assessment data, and the comprehensive environmental assessment data of the corresponding device environment areas of each device in the computer room device interaction set, construct the characteristic vectors of the operation status of the corresponding devices, and conduct a data interaction collaboration risk analysis on any two devices with interaction records. The calculation formula is where CRA(y1,y2) is the data interaction collaboration risk assessment value between the devices with the numbers y1 and y2 with interaction records in the corresponding computer room device interaction set; Y1 and Y2 are the operation status characteristic vectors of the devices with the numbers y1 and y2 with interaction records in the corresponding computer room device interaction set respectively; E is the mean vector of the operation status characteristic vectors of each device in the corresponding computer room device interaction set; S is the covariance matrix of the operation status characteristic vectors of each device in the corresponding computer room device interaction set; Give the data interaction collaboration risk safety interval through manual assessment by combining historical data. If the data interaction collaboration risk assessment value between any two devices belongs to the data interaction collaboration risk safety interval, it is determined that the data interaction between the current two devices is normal. If the data interaction collaboration risk assessment value between any two devices does not belong to the data interaction collaboration risk safety interval, it is determined that there is risk data interaction between the current two devices, and risk identification is performed on the current two devices.

5. The intelligent supervision method for computer room equipment based on the Internet of Things according to claim 4, characterized in that: The steps of S400 are as follows: S401. Output the computer room node plane model using the visual port, and output the real-time environmental data and operation status data of each node device in the model; S402. Store the environmental data evaluation data, operation status evaluation data, node device chain construction data, environmental analysis data of the corresponding area of the node device data chain, and device interaction and collaboration risk analysis data of each device in the computer room node plane model, and give risk warnings to the devices with data interaction risks.

6. An intelligent monitoring system for computer room equipment based on the Internet of Things, characterized in that: The system includes a multi-source data acquisition module, a model construction module, a risk anomaly evaluation module, and a comprehensive feedback module. The multi-source data acquisition module collects the real-time operation environmental data of computer room devices by deploying an environmental sensing and monitoring network in the computer room; captures the operation status data and data interaction records of devices by capturing device transmission data through data ports. The model construction module constructs a computer room node plane model for device information simulation based on the collected computer room device environmental data, device operation status data, and device data interaction records; evaluates the impact of environmental data on each device according to the computer room node plane model, divides the environmental impact levels of each device based on the evaluation data, and associates the device nodes at the same level to determine the computer room device chain of the same-level environmental impact nodes. The risk anomaly evaluation module obtains the area of the computer room device affected by the corresponding node device chain and conducts a comprehensive analysis of the environmental impact of the corresponding area; evaluates the collaborative operation risk of two devices with interaction records by combining the device interaction records with the environmental impact evaluation data of the corresponding devices and the comprehensive analysis data of the environmental impact of the area where the corresponding devices are located. The comprehensive feedback module feeds back the environmental data and operation data of computer room devices through a visual port, outputs the interaction records between devices and the corresponding collaborative risk evaluation data, and warns devices with risky operations.

7. An intelligent monitoring system for computer room equipment based on the Internet of Things according to claim 6, characterized in that: The multi-source data acquisition module includes a device environmental data acquisition unit and a device operation data retrieval unit. The device environmental data acquisition unit deploys an environmental sensing network in the computer room to obtain the environmental data of each device in the computer room and the overall spatial environmental data of the computer room in real time. The device operation data retrieval unit synchronously captures the operation transmission data of each device using the monitoring data port, obtains the real-time operation status data of each device, and records the interaction records of each device.

8. An intelligent monitoring system for computer room equipment based on the Internet of Things according to claim 7, characterized in that: The model construction module includes a node model construction unit and a node device chain construction unit. The node model construction unit constructs a computer room node plane model for device information simulation based on the environmental data, device operation data, and device interaction record data collected for each device in the computer room. Perform node mapping simulation according to the distribution position of computer room devices in the actual space, associate and display the real-time environmental information, operation status information, and data interaction records of the corresponding node devices, and realize the real-time information simulation of computer room devices. The node device chain construction unit conducts real-time environmental impact assessments on each device according to the environmental data corresponding to each device node in the computer room node plane model; based on the real-time environmental impact assessment data of the environmental data corresponding to each device in the computer room, hierarchical classification is performed on each node device; the real-time environmental drop impact assessment index of each node device is determined at the same level by determining the judgment error range; the real-time environmental drop impact assessment indexes of each device in the computer room are sorted overall and the central value is determined. Taking the node device corresponding to the central value as the initial target for hierarchical classification, the node devices within the same error range as the central value are classified into the same level; for the remaining node devices, the node devices that have not been classified are classified at the same level with the node devices that have been classified at the adjacent levels as the target for hierarchical classification until all the computer room node devices are completely classified; according to the hierarchical classification results of each node device, node association is performed on the node devices at the same level, and the node devices at the same level are connected in sequence to obtain the corresponding hierarchical node device chain.

9. The intelligent monitoring system for computer room equipment based on the Internet of Things according to claim 8, characterized in that: The risk anomaly assessment module includes a regional comprehensive environment assessment unit and a device interaction risk assessment unit; The regional comprehensive environment assessment unit retrieves the hierarchical node device chains in the computer room node plane model, determines the actual computer room devices corresponding to each hierarchical node device chain by mapping each corresponding device in the actual computer room, and determines the actual device environment areas corresponding to each hierarchical node device chain; conducts comprehensive environment assessment and analysis on the actual device areas of the computer room corresponding to each hierarchical node device chain; The device interaction risk assessment unit determines the interaction records of each node device in the computer room node plane model, overall plans the devices with data interaction respectively and constructs a computer room device interaction set; retrieves the operation status data of each device in the computer room device interaction set, and conducts real-time operation status assessments on each device; based on the environmental impact assessment data, the corresponding operation status assessment data, and the comprehensive environment assessment data of the corresponding device environment areas of each device in the computer room device interaction set, constructs a feature vector of the operation status of the corresponding device, and conducts data interaction collaborative risk analysis on any two devices with interaction records; gives a data interaction collaborative risk safety range through manual assessment by combining historical data; If the data interaction collaborative risk assessment value between any two devices belongs to the data interaction collaborative risk safety range, it is determined that the data interaction between the current two devices is normal; If the data interaction collaborative risk assessment value between any two devices does not belong to the data interaction collaborative risk safety range, it is determined that there is risk data interaction in the data interaction between the current two devices, and risk identification is performed on the current two devices.

10. The intelligent monitoring system for computer room equipment based on the Internet of Things according to claim 9, characterized in that: The comprehensive feedback module includes a visual output unit and a risk anomaly warning unit; The visual output unit outputs the computer room node plane model using a visual port, and outputs the real-time environmental data and operation status data of each node device in the model; The risk anomaly warning unit stores the environmental data evaluation data, operation status evaluation data, node device chain construction data, environmental analysis data corresponding to the node device data chain in the computer room node plane model, and device interaction and collaboration risk analysis data of each device, and warns of risks for devices with data interaction risks.

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