Automatic information processing method and device for heat balance optimization of machine room

Abstract

The invention discloses an automatic information processing method and device for heat balance optimization of a machine room, and the method comprises the steps: carrying out the robot route mapping according to a machine room environment, so as to generate a route diagram and point location motion data; customizing a current data acquisition task according to a data acquisition demand, and generating task instance data of a corresponding time point based on a task execution time point in combination with the circuit diagram; the extensible small robot platform executes a corresponding data acquisition task based on the task instance data to obtain temperature data of all positions of the machine room of the task instance; uploading the temperature data of all positions of the machine room of the task instance to a rear-end machine room; the rear-end machine room generates a machine room 3D thermodynamic diagram by using the configured data analysis software, and performs heat balance analysis according to the constructed machine room heat balance model to obtain a heat balance optimization scheme; and pushing the heat balance optimization scheme to associated personnel of the target machine room, and implementing and improving by the associated personnel based on the heat balance optimization scheme. The heat balance model of the machine room is accurately constructed, energy-saving decision suggestions are provided, and consumption reduction and cost reduction of the machine room are promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of digital computer rooms, and in particular to an automatic information processing method and device for optimizing the thermal balance of a computer room. Background Art

[0002] With the rapid development of informatization, the scale of computer room management has increased, the complexity of the network has increased, and resource changes and iterations have been frequent, and the energy consumption cost required for computer room operations has increased day by day. The statistical analysis results of the energy consumption distribution of computer rooms show that the air conditioning and refrigeration energy consumption to ensure the normal operation of the computer room accounts for more than 50% of the total energy consumption of the computer room. Therefore, improving the refrigeration efficiency and reducing the energy consumption of air conditioning and refrigeration can effectively reduce the energy consumption and operating costs of the computer room. At the same time, the new infrastructure has brought new momentum to the development of communication computer rooms, and the national development strategy has put forward higher requirements for the green, low-carbon, environmental protection and energy saving of computer rooms.

[0003] To this end, the granularity of the computer room's energy-saving control must change from extensive to fine. It is necessary to build a computer room thermal balance model based on the temperature data in all horizontal and vertical directions of the computer room, accurately calculate the cooling load demand, identify cooling losses, eliminate hot and cold spots, improve cooling efficiency, and achieve precise and safe energy saving.

[0004] However, most computer rooms currently use fixed-point temperature sensors arranged at fixed locations to regularly collect temperature data and submit them to the dynamic environment system to realize abnormal temperature rise alarms. This cannot cover every channel cabinet in the computer room and different positions in the vertical direction. It is impossible to provide comprehensive data for accurately building a thermal balance model for the computer room for analysis and provide further energy-saving decision-making recommendations for the computer room. Summary of the invention

[0005] The purpose of the present invention is to provide an automated information processing method and device for optimizing the thermal balance of a computer room, which organically combines robotics technology with IT information processing technology, can intelligently construct a thermal balance model of the computer room, perform intelligent analysis of data, and output energy-saving suggestions.

[0006] The technical solution adopted by the present invention is:

[0007] An automated information processing device for optimizing thermal balance in a computer room, comprising a computer room asset data collection terminal and an expandable small robot platform; the computer room asset data collection terminal is installed on the expandable small robot platform and driven by the expandable small robot platform to move in the computer room; a plurality of sensors can be detachably mounted on the expandable small robot platform;

[0008] The computer room asset data acquisition terminal includes a shell, a central control operation screen, an electric telescopic rod, and a servo motor and a high-definition camera connected to the central control operation screen; the servo motor is arranged in the shell, and the central control operation screen is provided with an outer surface of the shell, and the central control operation screen is used for users to perform human-computer interaction operations; one end of the electric telescopic rod is connected to the servo motor and is driven to extend and retract by the servo motor; the other end of the electric telescopic rod extends out of the shell surface; the high-definition camera is installed and fixed on the other end of the electric telescopic rod extending out of the shell and rises and falls with the electric telescopic rod.

[0009] The computer room asset data collection terminal also includes a wireless router, which is arranged in the housing and is respectively connected to the expandable small robot platform, the high-definition camera and the central control operation screen; the central control operation screen is connected to the back-end computer room through the wireless router;

[0010] The computer room asset data collection terminal cooperates with the expandable small robot platform to move in the computer room and collect the computer room temperature data; the back-end computer room is used for analysis and processing of the collected data. The back-end computer room generates a 3D thermal map of the computer room based on the computer room temperature data, and performs data analysis based on the constructed computer room thermal balance model, outputs energy-saving suggestions, and realizes intelligent energy-saving decision optimization.

[0011] Furthermore, the several sensors include a lidar sensor, a high-precision temperature sensor, an ultrasonic sensor, an anti-fall sensor, a depth camera sensor, an air pressure collision sensor, and a magnetic sensor.

[0012] Furthermore, a high-precision temperature sensor is arranged on the other end of the electric telescopic rod extending out of the housing.

[0013] The depth camera sensor is installed on the surface of the expandable small robot platform through a bracket; the laser radar sensor is arranged around the top of the expandable small robot platform; specifically, as a feasible implementation method, the laser radar sensor is embedded in a ring shape around the top of the expandable small robot platform.

[0014] At least one ultrasonic sensor is arranged on the side of the expandable small robot platform; an air pressure collision sensor, an anti-fall sensor and a magnetic sensor are arranged on the bottom of the expandable small robot platform; specifically, the air pressure collision sensor is located on the four sides of the bottom of the expandable small robot platform;

[0015] The expandable small robot platform includes laser radar, high-precision temperature sensor, ultrasonic sensor, anti-fall sensor, depth camera sensor, air pressure collision sensor, magnetic sensor and other sensors. It can be equipped with high-definition camera, servo motor and electric telescopic rod, central control operation screen, wireless router and other extended peripherals to become an intelligent computer room asset data collection terminal.

[0016] Furthermore, the back-end computer room is equipped with automated asset data processing software, which is used for robot route action mapping, robot motion control, data collection task formulation, data collection task execution, data uploading to the database, 3D thermal map generation, computer room thermal balance analysis, thermal balance optimization plan push, and temperature abnormality alarm push function modules to realize intelligent energy-saving decision-making optimization functions.

[0017] Furthermore, the automated asset data processing software includes at least the following modules:

[0018] Robot route action mapping module: provides a visual graphical interface, combines the internal layout of the computer room and the resource system data to build the computer room map, channel and rack layout; then defines the origin and the robot's route, point planning, and action planning. The page supports the functions of creating and modifying the computer room map;

[0019] Data collection task execution and data upload module: According to the pre-set data collection tasks, the robot is driven to complete data collection at the specified time according to the computer room route map, and the data is uploaded to the database table after the collection is completed;

[0020] The computer room 3D thermal map generation module: reads the temperature data of all locations of the task instance, generates a 3D thermal map according to the temperature range color configuration, and then presents a 3D thermal graph on the front end after superimposing the computer room graphics, intuitively showing the temperature distribution of the channel cabinets in the computer room;

[0021] Computer room heat balance analysis module: reads the temperature data of all locations of the task instance, analyzes the uniformity of heat distribution inside the computer room and the cooling capacity and efficiency of the refrigeration equipment according to the computer room heat balance analysis strategy, generates computer room layout and cooling capacity optimization plans, and generates high temperature alarm work orders for temperature exceeding the limit.

[0022] An automated information processing method for optimizing heat balance in a computer room comprises the following steps:

[0023] Step 1: Map the robot route according to the computer room environment to generate a route map and point motion data;

[0024] Step 2: Customize the current data collection task according to the data collection requirements, and generate the task instance data at the corresponding time point based on the task execution time point and the route map;

[0025] Step 3, the scalable small robot platform performs the corresponding data collection task based on the task instance data to obtain the temperature data of all locations in the computer room of the task instance;

[0026] Step 4: Upload the temperature data of all locations in the computer room of the task instance to the backend computer room;

[0027] Step 5: The backend computer room uses the configured data analysis software to generate a 3D thermal map of the computer room, and performs thermal balance analysis based on the constructed computer room thermal balance model to obtain a thermal balance optimization solution;

[0028] Step 6: Push the thermal balance optimization plan to the relevant personnel of the target computer room, and the relevant personnel will implement and improve it based on the thermal balance optimization plan.

[0029] Furthermore, the robot route mapping in step 1 specifically includes the following steps:

[0030] Step 1-1, create a blank room diagram and define the scale to initialize the room diagram;

[0031] Step 1-2, arrange channels and racks according to actual conditions on the equipment room diagram;

[0032] Steps 1-3, mark the origin, key equipment points, and refrigeration equipment points on the room diagram to form point data;

[0033] Steps 1-4, automatically generating spatial coordinates based on point data, and then forming a point plan with point coordinates;

[0034] Steps 1-5: Generate corresponding travel routes according to the requirements of point planning;

[0035] Step 1-6, perform action planning according to the requirements of data collection and the point planning requirements on the route to form point action data;

[0036] Steps 1-7, save the computer room diagram and complete the computer room drawing.

[0037] Furthermore, in step 2, the task execution time point is obtained from the data collection task, and a task instance of the corresponding time point is generated.

[0038] Furthermore, step 3 specifically includes the following steps:

[0039] Step 3-1, when the task execution time point is reached, the computer room asset data collection terminal connects and starts the scalable small robot platform;

[0040] Step 3-2, the expandable small robot platform moves along the movement of the computer room and collects computer room data at the same time.

[0041] Furthermore, step 4 specifically includes the following steps:

[0042] Step 4-1, determine whether the current data collection task is completed; if yes, execute step 4-2; otherwise, execute step 4-1;

[0043] Step 4-2: The back-end computer room extracts all the temperature data collected this time and the position data of the robot during its movement, associates the data with the points, and inserts them into the corresponding database table;

[0044] Step 4-3: After the database table data is updated, update the task instance status to complete the data upload.

[0045] Furthermore, the specific steps for generating the 3D thermal map of the computer room in step 5 are as follows:

[0046] Step 5-1, load the heat map configuration data, and read the task instance data and the room map data to initialize the heat map;

[0047] Step 5-2, read all temperature data of the task instance, and calculate the RGB value of the thermal value of all point temperatures;

[0048] Step 5-3, color rendering is performed at the corresponding points based on the calculated RGB values, and the temperature data is added to the thermal map in the form of graphics elements to obtain the final 3D thermal map of the computer room.

[0049] Furthermore, the specific steps of the heat balance analysis of the computer room in step 5 are as follows:

[0050] Step 5-11, loading the heat balance analysis strategy and refrigeration equipment power data, and reading the task instance data;

[0051] Step 5-12, read all temperature data of the task instance, and analyze the temperature data of key equipment points, the temperature data of refrigeration equipment points, the channel temperature data, and the contour temperature difference data in the computer room in turn to generate the final optimization plan, output the analysis and optimization results, and form a thermal balance optimization plan.

[0052] Furthermore, the steps for generating the thermal balance optimization scheme in steps 5-12 are as follows:

[0053] 5-12-1, analyze the temperature data of key equipment points to generate the first optimization plan;

[0054] 5-12-2, based on the first optimization scheme, analyze the temperature data of the refrigeration equipment points to improve the optimization and obtain the second optimization scheme;

[0055] 5-12-3, analyzing the channel temperature data based on the second optimization scheme to improve the optimization and obtain the third optimization scheme;

[0056] 5-12-4. Based on the third optimization scheme, analyze the contour temperature difference data in the computer room to improve the optimization and obtain the final thermal balance optimization scheme.

[0057] Furthermore, the data analysis in step 5 simultaneously obtains abnormal temperature alarm data, and generates an over-limit temperature alarm work order based on the abnormal temperature alarm data and pushes it to the responsible person.

[0058] Specifically as an implementation method, the temperature abnormality alarm adopts the method of SMS notification, or the method of sending alarm information by communication software, or the method of sound and light alarm by sound and light equipment, and other feasible alarm methods. Among them, the sound and light equipment includes a buzzer and a warning LED light.

[0059] The present invention adopts the above technical scheme and applies programmable robot technology to collect temperature in the computer room, covering every channel cabinet in the computer room and different positions in the vertical direction; the collected temperature data is analyzed and processed in the back-end software system to generate an accurate 3D thermal map of the computer room, intuitively displaying the temperature data in all directions in the computer room, accurately constructing a thermal balance model of the computer room to analyze the data and provide further energy-saving decision-making suggestions for the computer room, thereby promoting consumption and cost reduction in the computer room. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] The present invention is further described in detail below with reference to the accompanying drawings and specific embodiments;

[0061] Figure 1 It is a schematic diagram of the principle architecture of the software functions of the back-end computer room of the present invention;

[0062] Figure 2 A schematic flow chart of an automated information processing method for optimizing heat balance in a computer room according to the present invention;

[0063] Figure 3 A schematic diagram of the process of mapping the robot route actions of the present invention;

[0064] Figure 4 It is a flow chart of data collection task execution and data uploading of the present invention;

[0065] Figure 5 This is a schematic diagram of the process of generating a 3D thermal map of a computer room in the present invention;

[0066] Figure 6 This is a schematic diagram of the 3D thermal pattern of the computer room in the present invention;

[0067] Figure 7 It is a schematic diagram of the process of heat balance analysis of the computer room in the present invention. DETAILED DESCRIPTION

[0068] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0069] like Figures 1 to 7As shown in one, the present invention discloses an automated information processing method for optimizing thermal balance in a computer room, which includes a computer room asset data acquisition terminal and an expandable small robot platform; the computer room asset data acquisition terminal is installed on the expandable small robot platform and driven by the expandable small robot platform to move in the computer room; a plurality of sensors can be detachably mounted on the expandable small robot platform;

[0070] The computer room asset data acquisition terminal includes a shell, a central control operation screen, an electric telescopic rod, and a servo motor and a high-definition camera connected to the central control operation screen; the servo motor is arranged in the shell, and the central control operation screen is provided with an outer surface of the shell, and the central control operation screen is used for users to perform human-computer interaction operations; one end of the electric telescopic rod is connected to the servo motor and is driven to extend and retract by the servo motor; the other end of the electric telescopic rod extends out of the shell surface; the high-definition camera is installed and fixed on the other end of the electric telescopic rod extending out of the shell and rises and falls with the electric telescopic rod.

[0071] The computer room asset data collection terminal also includes a wireless router, which is arranged in the housing and is respectively connected to the expandable small robot platform, the high-definition camera and the central control operation screen; the central control operation screen is connected to the back-end computer room through the wireless router;

[0072] The computer room asset data collection terminal cooperates with the expandable small robot platform to move in the computer room and collect the computer room temperature data; the back-end computer room is used for analysis and processing of the collected data. The back-end computer room generates a 3D thermal map of the computer room based on the computer room temperature data, and performs data analysis based on the constructed computer room thermal balance model, outputs energy-saving suggestions, and realizes intelligent energy-saving decision optimization.

[0073] Furthermore, the several sensors include a lidar sensor, a high-precision temperature sensor, an ultrasonic sensor, an anti-fall sensor, a depth camera sensor, an air pressure collision sensor, and a magnetic sensor.

[0074] Furthermore, a high-precision temperature sensor is arranged on the other end of the electric telescopic rod extending out of the housing.

[0075] The depth camera sensor is installed on the surface of the expandable small robot platform through a bracket; the laser radar sensor is arranged around the top of the expandable small robot platform; specifically, as a feasible implementation method, the laser radar sensor is embedded in a ring shape around the top of the expandable small robot platform.

[0076] At least one ultrasonic sensor is arranged on the side of the expandable small robot platform; an air pressure collision sensor, an anti-fall sensor and a magnetic sensor are arranged on the bottom of the expandable small robot platform; specifically, the air pressure collision sensor is located on the four sides of the bottom of the expandable small robot platform;

[0077] The expandable small robot platform includes laser radar, high-precision temperature sensor, ultrasonic sensor, anti-fall sensor, depth camera sensor, air pressure collision sensor, magnetic sensor and other sensors. It can be equipped with high-definition camera, servo motor and electric telescopic rod, central control operation screen, wireless router and other extended peripherals to become an intelligent computer room asset data collection terminal.

[0078] Furthermore, the back-end computer room is equipped with automated asset data processing software, which is used for robot route action mapping, robot motion control, data collection task formulation, data collection task execution, data uploading to the database, 3D thermal map generation, computer room thermal balance analysis, thermal balance optimization plan push, and temperature abnormality alarm push function modules to realize intelligent energy-saving decision-making optimization functions.

[0079] Furthermore, the automated asset data processing software includes at least the following modules:

[0080] Robot route action mapping module: provides a visual graphical interface, combines the internal layout of the computer room and the resource system data to build the computer room map, channel and rack layout; then defines the origin and the robot's route, point planning, and action planning. The page supports the functions of creating and modifying the computer room map;

[0081] Data collection task execution and data upload module: According to the pre-set data collection tasks, the robot is driven to complete data collection at the specified time according to the computer room route map, and the data is uploaded to the database table after the collection is completed;

[0082] The computer room 3D thermal map generation module: reads the temperature data of all locations of the task instance, generates a 3D thermal map according to the temperature range color configuration, and then presents a 3D thermal graph on the front end after superimposing the computer room graphics, intuitively showing the temperature distribution of the channel cabinets in the computer room;

[0083] Computer room heat balance analysis module: reads the temperature data of all locations of the task instance, analyzes the uniformity of heat distribution inside the computer room and the cooling capacity and efficiency of the refrigeration equipment according to the computer room heat balance analysis strategy, generates computer room layout and cooling capacity optimization plans, and generates high temperature alarm work orders for temperature exceeding the limit.

[0084] An automated information processing method for optimizing heat balance in a computer room comprises the following steps:

[0085] Step 1: Map the robot route according to the computer room environment to generate a route map and point motion data;

[0086] Step 2: Customize the current data collection task according to the data collection requirements, and generate the task instance data at the corresponding time point based on the task execution time point and the route map;

[0087] Step 3, the scalable small robot platform performs the corresponding data collection task based on the task instance data to obtain the temperature data of all locations in the computer room of the task instance;

[0088] Step 4: Upload the temperature data of all locations in the computer room of the task instance to the backend computer room;

[0089] Step 5: The backend computer room uses the configured data analysis software to generate a 3D thermal map of the computer room, and performs thermal balance analysis based on the constructed computer room thermal balance model to obtain a thermal balance optimization solution;

[0090] Step 6: Push the thermal balance optimization plan to the relevant personnel of the target computer room, and the relevant personnel will implement and improve it based on the thermal balance optimization plan.

[0091] Furthermore, the robot route mapping in step 1 specifically includes the following steps:

[0092] Step 1-1, create a blank room diagram and define the scale to initialize the room diagram;

[0093] Step 1-2, arrange channels and racks according to actual conditions on the equipment room diagram;

[0094] Steps 1-3, mark the origin, key equipment points, and refrigeration equipment points on the room diagram to form point data;

[0095] Steps 1-4, automatically generating spatial coordinates based on point data, and then forming a point plan with point coordinates;

[0096] Steps 1-5: Generate corresponding travel routes according to the requirements of point planning;

[0097] Step 1-6, perform action planning according to the requirements of data collection and the point planning requirements on the route to form point action data;

[0098] Steps 1-7, save the computer room diagram and complete the computer room drawing.

[0099] Furthermore, in step 2, the task execution time point is obtained from the data collection task, and a task instance of the corresponding time point is generated.

[0100] Furthermore, step 3 specifically includes the following steps:

[0101] Step 3-1, when the task execution time point is reached, the computer room asset data collection terminal connects and starts the scalable small robot platform;

[0102] Step 3-2, the expandable small robot platform moves along the movement of the computer room and collects computer room data at the same time.

[0103] Furthermore, step 4 specifically includes the following steps:

[0104] Step 4-1, determine whether the current data collection task is completed; if yes, execute step 4-2; otherwise, execute step 4-1;

[0105] Step 4-2: The back-end computer room extracts all the temperature data collected this time and the position data of the robot during its movement, associates the data with the points, and inserts them into the corresponding database table;

[0106] Step 4-3: After the database table data is updated, update the task instance status to complete the data upload.

[0107] Furthermore, the specific steps for generating the 3D thermal map of the computer room in step 5 are as follows:

[0108] Step 5-1, load the heat map configuration data, and read the task instance data and the room map data to initialize the heat map;

[0109] Step 5-2, read all temperature data of the task instance, and calculate the RGB value of the thermal value of all point temperatures;

[0110] Step 5-3, based on the calculated RGB values, color rendering is performed at the corresponding points, and the temperature data is added to the thermal map in the form of graphics elements to obtain the final 3D thermal map of the computer room.

[0111] Furthermore, the specific steps of the heat balance analysis of the computer room in step 5 are as follows:

[0112] Step 5-11, loading the heat balance analysis strategy and refrigeration equipment power data, and reading the task instance data;

[0113] Step 5-12, read all temperature data of the task instance, and analyze the temperature data of key equipment points, the temperature data of refrigeration equipment points, the channel temperature data, and the contour temperature difference data in the computer room in turn to generate the final optimization plan, output the analysis and optimization results, and form a thermal balance optimization plan.

[0114] Furthermore, the steps for generating the thermal balance optimization scheme in steps 5-12 are as follows:

[0115] 5-12-1, analyze the temperature data of key equipment points to generate the first optimization plan;

[0116] 5-12-2, based on the first optimization scheme, analyze the temperature data of the refrigeration equipment points to improve the optimization and obtain the second optimization scheme;

[0117] 5-12-3, analyzing the channel temperature data based on the second optimization scheme to improve the optimization and obtain the third optimization scheme;

[0118] 5-12-4. Based on the third optimization scheme, analyze the contour temperature difference data in the computer room to improve the optimization and obtain the final thermal balance optimization scheme.

[0119] Furthermore, the data analysis in step 5 simultaneously obtains abnormal temperature alarm data, and generates an over-limit temperature alarm work order based on the abnormal temperature alarm data and pushes it to the responsible person.

[0120] Specifically as an implementation method, the temperature abnormality alarm adopts the method of SMS notification, or the method of sending alarm information by communication software, or the method of sound and light alarm by sound and light equipment, and other feasible alarm methods. Among them, the sound and light equipment includes a buzzer and a warning LED light.

[0121] The specific principle of the present invention is described in detail below:

[0122] This automated information processing method and device for optimizing the heat balance of a computer room consists of two parts, hardware and software. It can automatically collect and store the temperature data of the computer room, generate a 3D thermal map of the computer room, and perform data analysis based on the constructed heat balance model of the computer room, output energy-saving suggestions, and achieve intelligent energy-saving decision optimization.

[0123] The hardware part: the application is equipped with an expandable small robot platform including multiple sensors including lidar, high-precision temperature sensor, ultrasonic sensor, anti-fall sensor, depth camera sensor, air pressure collision sensor, magnetic sensor, etc., and it becomes an intelligent computer room asset data collection terminal after being equipped with high-definition cameras, servo motors and electric telescopic rods, central control operation screen, wireless routers and other extended peripherals.

[0124] Table 1: Evaluation of robot performance and functional indicators based on actual production needs

[0125]

[0126]

[0127] Software part: Back-end computer room automation asset data processing software, including robot route action mapping, robot motion control, data collection task formulation, data collection task execution, data upload to the database, 3D thermal map generation, computer room thermal balance analysis, thermal balance optimization plan push, temperature abnormality alarm push and other functional modules to realize intelligent energy-saving decision-making optimization function.

[0128] The main functional modules of the software are as follows:

[0129] Robot route and motion mapping: Provides a visual graphical interface, combines the internal layout of the computer room and resource system data to build the computer room map, channel and rack layout, and then defines the origin and the robot's route, point planning, and motion planning. The page supports the creation and modification of computer room maps.

[0130] Data collection task execution and data upload: According to the pre-established data collection tasks, the robot is driven to complete data collection at the specified time point according to the computer room roadmap, and the data is uploaded to the database table after the collection is completed.

[0131] Generation of 3D thermal map of the computer room: Read the temperature data of all locations of the task instance, generate a 3D thermal map according to the color configuration of the temperature range, and then superimpose the computer room graphics to present the 3D thermal graphics on the front end, intuitively showing the temperature distribution of the channel cabinets in the computer room.

[0132] Heat balance analysis of the computer room: Read the temperature data of all locations of the task instance, analyze the uniformity of heat distribution inside the computer room and the cooling capacity and efficiency of the refrigeration equipment according to the heat balance analysis strategy of the computer room, generate the computer room layout and cooling capacity optimization plan, and generate an over-temperature alarm work order if the temperature exceeds the limit.

[0133] The present invention adopts the above technical scheme and applies programmable robot technology to collect temperature in the computer room, covering every channel cabinet in the computer room and different positions in the vertical direction; the collected temperature data is analyzed and processed in the back-end software system to generate an accurate 3D thermal map of the computer room, intuitively displaying the temperature data in all directions in the computer room, accurately constructing a thermal balance model of the computer room to analyze the data and provide further energy-saving decision-making suggestions for the computer room, thereby promoting consumption and cost reduction in the computer room.

[0134] Obviously, the described embodiments are part of the embodiments of the present application, rather than all of the embodiments. In the absence of conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The components of the embodiments of the present application generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the detailed description of the embodiments of the present application is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians of the art without making creative work are within the scope of protection of the present application.

Claims

1. An automated information processing device for optimizing heat balance in a computer room, characterized in that: It includes a computer room asset data collection terminal and an expandable small robot platform; the computer room asset data collection terminal is installed on the expandable small robot platform and is driven by the expandable small robot platform to move in the computer room; a number of sensors can be detachably assembled on the expandable small robot platform; The computer room asset data acquisition terminal includes a housing, a wireless router, a central control operation screen, an electric telescopic rod, and a servo motor and a high-definition camera connected to the central control operation screen; the servo motor is arranged in the housing, the central control operation screen is provided with an outer surface of the housing, and the central control operation screen is used for the user to perform human-computer interaction operations; one end of the electric telescopic rod is connected to the servo motor and is driven to extend and retract by the servo motor; the other end of the electric telescopic rod extends out of the housing surface; HD The camera is installed and fixed on the other end of the electric telescopic rod extending out of the housing and rises and falls with the electric telescopic rod; the wireless router is arranged in the housing, and the wireless router is respectively connected to the expandable small robot platform, the high-definition camera and the central control operation screen; the central control operation screen is connected to the back-end machine room through the wireless router; The computer room asset data collection terminal cooperates with the expandable small robot platform to move in the computer room and collect the computer room temperature data; the back-end computer room is used for analysis and processing of the collected data; the back-end computer room generates a 3D thermal map of the computer room based on the computer room temperature data, and performs data analysis based on the constructed computer room thermal balance model, outputs energy-saving suggestions, and realizes intelligent energy-saving decision optimization.

2. The automatic information processing device for optimizing the thermal balance of a computer room according to claim 1, characterized in that: Several sensors include a laser radar sensor, a high-precision temperature sensor, an ultrasonic sensor, an anti-fall sensor, a depth camera sensor, an air pressure collision sensor and a magnetic sensor; the high-precision temperature sensor is arranged on the other end of the electric telescopic rod extending out of the shell; the depth camera sensor is installed on the surface of the expandable small robot platform through a bracket; the laser radar sensor is arranged around the top of the expandable small robot platform; at least one ultrasonic sensor is arranged on the side of the expandable small robot platform, and the air pressure collision sensor, the anti-fall sensor and the magnetic sensor are arranged at the bottom of the expandable small robot platform.

3. The automatic information processing device for optimizing the thermal balance of a computer room according to claim 1, characterized in that: The back-end computer room is equipped with automated asset data processing software, which is used for robot route action mapping, robot motion control, data collection task formulation, data collection task execution, data upload to the database, 3D thermal map generation, computer room thermal balance analysis, thermal balance optimization solution push, temperature abnormality alarm push function modules, to achieve intelligent energy-saving decision-making optimization function; the automated asset data processing software includes at least the following modules: Robot route action mapping module: provides a visual graphical interface, combines the internal layout of the computer room and the resource system data to build the computer room map, channel and rack layout; then defines the origin and the robot's route, point planning, and action planning. The page supports the functions of creating and modifying the computer room map; Data collection task execution and data upload module: According to the pre-set data collection tasks, the robot is driven to complete data collection at the specified time according to the computer room route map, and the data is uploaded to the database table after the collection is completed; The computer room 3D thermal map generation module: reads the temperature data of all locations of the task instance, generates a 3D thermal map according to the temperature range color configuration, and then presents a 3D thermal graph on the front end after superimposing the computer room graphics, intuitively showing the temperature distribution of the channel cabinets in the computer room; Computer room heat balance analysis module: reads the temperature data of all locations of the task instance, analyzes the uniformity of heat distribution inside the computer room and the cooling capacity and efficiency of the refrigeration equipment according to the computer room heat balance analysis strategy, generates computer room layout and cooling capacity optimization plans, and generates high temperature alarm work orders for temperature exceeding the limit.

4. An automated information processing method for optimizing heat balance in a computer room, using an automated information processing device for optimizing heat balance in a computer room as claimed in any one of claims 1 to 3, characterized in that: The method comprises the following steps: Step 1: Map the robot route according to the computer room environment to generate a route map and point motion data; Step 2: Customize the current data collection task according to the data collection requirements, and generate the task instance data at the corresponding time point based on the task execution time point and the route map; Step 3, the scalable small robot platform performs the corresponding data collection task based on the task instance data to obtain the temperature data of all locations in the computer room of the task instance; Step 4: Upload the temperature data of all locations in the computer room of the task instance to the backend computer room; Step 5: The backend computer room uses the configured data analysis software to generate a 3D thermal map of the computer room, and performs thermal balance analysis based on the constructed computer room thermal balance model to obtain a thermal balance optimization solution; Step 6: Push the thermal balance optimization plan to the relevant personnel of the target computer room, and the relevant personnel will implement and improve it based on the thermal balance optimization plan.

5. The automated information processing method for optimizing heat balance in a computer room according to claim 4, characterized in that: The robot route mapping in step 1 specifically includes the following steps: Step 1-1, create a blank room diagram and define the scale to initialize the room diagram; Step 1-2, arrange channels and racks according to actual conditions on the equipment room diagram; Steps 1-3, mark the origin, key equipment points, and refrigeration equipment points on the room diagram to form point data; Steps 1-4, automatically generating spatial coordinates based on point data, and then forming a point plan with point coordinates; Steps 1-5: Generate corresponding travel routes according to the requirements of point planning; Step 1-6, perform action planning according to the requirements of data collection and the point planning requirements on the route to form point action data; Steps 1-7, save the computer room diagram and complete the computer room drawing.

6. The automated information processing method for optimizing heat balance in a computer room according to claim 4, characterized in that: Step 3 specifically includes the following steps: Step 3-1, when the task execution time point is reached, the computer room asset data collection terminal connects and starts the scalable small robot platform; Step 3-2, the expandable small robot platform moves along the movement of the computer room and collects computer room data at the same time.

7. The automated information processing method for optimizing heat balance in a computer room according to claim 4, characterized in that: Step 4 specifically includes the following steps: Step 4-1, determine whether the current data collection task is completed; if yes, execute step 4-2; otherwise, execute step 4-1; Step 4-2: The back-end computer room extracts all the temperature data collected this time and the position data of the robot during its movement, associates the data with the points, and inserts them into the corresponding database table; Step 4-3: After the database table data is updated, update the task instance status to complete the data upload.

8. The automated information processing method for optimizing heat balance in a computer room according to claim 4, characterized in that: The specific steps for generating the 3D thermal map of the computer room in step 5 are as follows: Step 5-1, load the heat map configuration data, and read the task instance data and the room map data to initialize the heat map; Step 5-2, read all temperature data of the task instance, and calculate the RGB value of the thermal value of all point temperatures; Step 5-3, based on the calculated RGB values, color rendering is performed at the corresponding points, and the temperature data is added to the thermal map in the form of graphics elements to obtain the final 3D thermal map of the computer room.

9. The automated information processing method for optimizing heat balance in a computer room according to claim 4, characterized in that: The specific steps of the computer room heat balance analysis in step 5 are as follows: Step 5-11, loading the heat balance analysis strategy and refrigeration equipment power data, and reading the task instance data; Step 5-12, read all temperature data of the task instance, and analyze the temperature data of key equipment points, the temperature data of refrigeration equipment points, the channel temperature data, and the contour temperature difference data in the computer room in turn to generate the final optimization plan, output the analysis and optimization results, and form a thermal balance optimization plan.

10. The automated information processing method for optimizing heat balance in a computer room according to claim 4, characterized in that: The data analysis in step 5 also obtains abnormal temperature alarm data, and generates an over-limit temperature alarm work order based on the abnormal temperature alarm data and pushes it to the responsible person.

Images