Efficient computer room HVAC equipment management system and method based on the Internet of Things

Abstract

The present invention discloses an efficient computer room HVAC equipment management system and method based on the Internet of Things, relates to the technical field of computer room management, and includes a digital processing module, a distribution planning module, an image processing module, an abnormality positioning module, and a management control module; the digital processing module is used for digital processing of the computer room; the distribution planning module is used for planning the installation position of the HVAC equipment; the image analysis module is used for processing the image collected by the distribution planning module; the abnormality positioning module is used for locating the temperature abnormality position inside the computer room; the management control module is used for intelligently controlling the HVAC equipment. The present invention is provided with an image processing module and an abnormality positioning module, so that the position of the temperature abnormality area inside the computer room can be located by processing and analyzing the thermal imaging image, so as to realize precise regulation of the temperature abnormality area and improve the utilization rate of the HVAC equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of computer rooms, and in particular to an efficient computer room HVAC equipment management system and method based on the Internet of Things. Background Art

[0002] The computer room refers to the place where telecommunications, Netcom, mobile, dual-line, power, government or enterprise servers are stored to provide IT services to users and employees;

[0003] HVAC equipment includes heating equipment, ventilation equipment and air conditioning equipment. Heating equipment mainly includes boilers, heat exchangers, water pumps and radiators; ventilation equipment mainly includes fans; air conditioning equipment mainly includes cooling towers, chillers, water pumps, air handling units and fan coils;

[0004] During the normal operation of the computer room, HVAC equipment is needed to control the temperature of the computer room to avoid abnormal temperature affecting the normal operation of the computer room. However, the existing temperature control of the computer room has the following problems:

[0005] 1. The existing temperature control of the computer room is usually: when the temperature detected by the temperature monitor is higher or lower than the set threshold, the HVAC equipment in the computer room is turned on to adjust the temperature. This will result in the inability to adjust the temperature in time when the local temperature of a certain location in the computer room rises or falls, affecting the normal operation of the computer room;

[0006] 2. The existing installation of HVAC equipment in the computer room is not carefully planned and designed according to the actual layout of the computer room, but a stereotyped installation method, which will reduce the efficiency of HVAC equipment and make it difficult to achieve accurate control of the temperature changes inside the computer room;

[0007] Therefore, people are in urgent need of an efficient computer room HVAC equipment management system and method based on the Internet of Things to solve the above technical problems. Summary of the invention

[0008] The purpose of the present invention is to provide an efficient computer room HVAC equipment management system and method based on the Internet of Things to solve the problems raised in the prior art.

[0009] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an efficient computer room HVAC equipment management system based on the Internet of Things, the management system comprising a digital processing module, a distribution planning module, an image processing module, an abnormality positioning module and a management control module;

[0010] The digital processing module is used to digitize the computer room to improve the efficiency and accuracy of HVAC equipment management; the distribution planning module is used to plan the installation position of the HVAC equipment to achieve precise control of the temperature inside the computer room, so as to improve the utilization efficiency of each HVAC equipment in the computer room; the image analysis module is used to process the image collected by the distribution planning module, so that the image can be converted into a digital image, which is convenient for abnormal analysis of the image; the abnormal positioning module is used to locate the abnormal temperature position inside the computer room, so as to determine the position to turn on the HVAC equipment, so as to achieve precise control of the temperature inside the computer room and improve the utilization rate of the HVAC equipment; the management control module is used to perform intelligent control of the HVAC equipment, improve the utilization rate of the HVAC equipment inside the computer room, and ensure the normal operation of the computer room.

[0011] According to the above technical solution, the digital processing module includes a three-dimensional modeling unit and a coordinate system establishment unit;

[0012] The three-dimensional modeling unit is used to establish a three-dimensional model of the computer room according to the input three-dimensional data, so that the digital modeling of the computer room can be realized; the coordinate system establishment unit is used to establish a three-dimensional rectangular coordinate system on the three-dimensional model, and assign coordinate values ​​to each point in the three-dimensional model, so that the digital processing of the HVAC equipment inside the computer room can be realized, and the management of the HVAC equipment is more efficient and energy-saving;

[0013] The distribution planning module includes an infrared thermal imager, HVAC equipment and an installation positioning unit;

[0014] The infrared thermal imager is installed inside the computer room and is used to obtain thermal imaging images of the inside of the computer room so as to understand the temperature changes inside the computer room. Moreover, compared with the temperature collection by traditional temperature monitors, the infrared thermal imager can realize comprehensive and accurate monitoring of the temperature changes inside the computer room, making the temperature monitoring inside the computer room more comprehensive; the HVAC equipment is installed inside the computer room and is used to regulate the ambient temperature inside the computer room to ensure the normal operation of the computer room. The area covered by the HVAC equipment is the HVAC area; the installation positioning unit is used to locate the installation position inside the computer room according to the HVAC area of ​​the HVAC equipment, so that the HVAC equipment can regulate the temperature of each area inside the computer room, reduce the number of HVAC equipment installed, and improve the utilization rate of the HVAC equipment.

[0015] According to the above technical solution, the image processing module includes an image segmentation unit and a label adding unit;

[0016] The image segmentation unit is used to divide the thermal imaging image into several areas, so as to facilitate the positioning of the abnormal temperature area inside the computer room through the analysis of the thermal imaging image in the later stage; the label adding unit is used to add labels to the several areas divided by the image segmentation unit, so that the abnormal area can be accurately positioned according to the labels.

[0017] According to the above technical solution, the anomaly positioning module includes a region comparison unit, a reference plane establishment unit and a mapping projection unit;

[0018] The area comparison unit is used to compare adjacent areas on the thermal imaging image and determine the boundaries of color changes on the thermal imaging image to judge the area with abnormal temperature. The reference plane establishment unit establishes a reference plane perpendicular to the thermal imaging image based on the comparison result of the area comparison unit and with the temperature abnormal area as the center point to determine the approximate area of ​​the temperature abnormal area inside the machine room, so as to turn on the specified HVAC equipment for temperature regulation. After establishing the reference plane, the mapping projection unit projects along the Z-axis direction to the plane where the X-axis and Y-axis are located in the three-dimensional model to determine the coordinate values ​​of the intersection of at least two reference planes on the plane where the X-axis and Y-axis are located to determine the specific HVAC equipment to be turned on.

[0019] According to the above technical solution, the management control module includes a location determination unit and an instruction control unit;

[0020] The position determination unit is used to determine the HVAC area position of each HVAC equipment, so as to timely determine the position of the HVAC equipment that needs to be turned on according to the temperature abnormality area; the instruction receiving unit is used to receive the positioning instruction of the abnormal positioning module, and control the corresponding HVAC equipment to be turned on according to the positioning instruction, so as to realize precise control of the temperature of the specified area inside the computer room.

[0021] An efficient computer room HVAC equipment management method based on the Internet of Things includes the following steps:

[0022] S1. Use a digital processing module to establish a three-dimensional model of the computer room, and establish a three-dimensional rectangular coordinate system on the three-dimensional model;

[0023] S2. Plan the installation location of HVAC equipment inside the computer room using the distribution planning module, and collect thermal imaging images inside the computer room;

[0024] S3, using the image processing module to segment the thermal imaging image, and adding a label to each segmented area;

[0025] S4, using the abnormality positioning module to analyze the segmented thermal imaging image to determine the area with abnormal temperature inside the computer room;

[0026] S5. Use the management control module to control the HVAC equipment to regulate the temperature of the area with abnormal temperature inside the computer room.

[0027] According to the above technical solution, in S1-S2, a three-dimensional scanner is used to obtain three-dimensional data of the interior of the computer room, and a three-dimensional model of the interior of the computer room is established by a three-dimensional modeling unit, and a three-dimensional rectangular coordinate system is established on the three-dimensional model by a coordinate system establishment unit, and a coordinate value (X i ,Y i ), where i represents the i-th point in the three-dimensional model;

[0028] The HVAC area of ​​the HVAC equipment is L*L, and the area function of the HVAC area is |cd|=|ef|=L, where a, b, c, d, e, and f are all set coefficients. The HVAC equipment is installed on the top of the computer room. The installation positioning unit is used to position the HVAC equipment on the top of the computer room at an installation spacing of 2*L, ensuring that the temperature of each area inside the computer room can be regulated by the HVAC equipment. Several infrared thermal imagers are installed on the top and side walls of the computer room. The infrared thermal imagers acquire thermal images of the interior of the computer room. The infrared thermal imagers are used to monitor and detect the temperature inside the computer room, which can avoid detection blind spots and ensure the accuracy of temperature detection.

[0029] According to the above technical solution, in S3, the thermal imaging image is divided into a number of regions of equal area by using the image segmentation unit, and a label adding unit is used to add a label X to each region. k -Y s , where X k Indicates the kth row of the current region among all the regions segmented, Y s Indicates the sth column of the current region among all the split regions.

[0030] According to the above technical solution, in S4, grayscale processing is performed on each region after the thermal imaging image is segmented to obtain the grayscale value G of the region. k-s , G k-s represents the gray value of the region in the kth row and sth column among the regions segmented by the image segmentation unit;

[0031] The region comparison unit is used to compare two adjacent regions according to the following formula:

[0032]

[0033] Among them, G k-(s+1) represents the gray value of the kth row and s+1th column in several regions, G (k+1)-s represents the gray value of the k+1th row and sth column in several regions, G k-(s-1)Represents the gray value of the kth row and s-1th column in several regions, G (k-1)-s Represents the gray value of the k-1th row and sth column area in several areas; Represents the absolute value of the grayscale value difference of the area adjacent to the area in the kth row and sth column;

[0034] when When , it indicates that there is a boundary between the region of the kth row and the sth column and the region of the kth row and the s+1th column, then the region of the kth row and the sth column is taken as the boundary point;

[0035] when When , it indicates that there is a boundary between the region of the kth row and the sth column and the region of the k+1th row and the sth column, then the region of the kth row and the sth column is taken as the boundary point;

[0036] when When , it indicates that there is a boundary between the region of the kth row and the sth column and the region of the kth row and the s-1th column, then the region of the kth row and the sth column is taken as the boundary point;

[0037] when When , it indicates that there is a boundary between the region of the kth row and the sth column and the region of the k-1th row and the sth column, then the region of the kth row and the sth column is taken as the boundary point, where G represents the threshold of the gray value difference;

[0038] A plurality of boundary points are connected by using a regional comparison unit, and an area surrounded by the plurality of boundary points forms an abnormal area, and the abnormal area is marked;

[0039] A reference plane establishment unit is used to establish a reference plane perpendicular to the thermal imaging image and perpendicular to the XOY plane in the three-dimensional rectangular coordinate system by taking a certain point in the abnormal area as a positioning point;

[0040] The reference plane in the three-dimensional model is projected by a mapping projection unit, and is projected along the Z axis direction to the plane where the X axis and the Y axis are located in the three-dimensional model to determine the coordinate values ​​(X j ,Y j );

[0041] Then the coordinate value (X j ,Y j ) is located in an abnormal temperature area.

[0042] By projecting several reference planes established in the three-dimensional model, the reference plane perpendicular to the XOY plane is projected onto the XOY plane. By determining the projection of the intersection of at least two reference planes on the XOY plane, the spatial position of the abnormal temperature area inside the computer room can be determined, thereby locating the abnormal temperature area inside the computer room.

[0043] According to the above technical solution, in S5, the position determination unit is used to determine the temperature abnormality coordinate point (X j ,Y j ) belongs to the HVAC area, and determines the HVAC equipment to which the HVAC area belongs, and uses the command control unit to control the HVAC equipment to regulate the temperature of the abnormal temperature area.

[0044] Compared with the prior art, the present invention has the following beneficial effects:

[0045] 1. The present invention is provided with an image processing module and an abnormality positioning module, so that the position of the abnormal temperature area inside the computer room can be located by processing and analyzing the thermal imaging image, and the temperature abnormal area can be precisely controlled, thereby improving the utilization rate of the HVAC equipment. Compared with the temperature detection by traditional sensors, the determination of the temperature abnormal area is more accurate, avoiding the waste of resources caused by the full opening of the HVAC equipment, and realizing the precise control of the temperature inside the computer room.

[0046] 2. The present invention is provided with a distribution planning module, so that the installation location of the HVAC equipment can be planned according to the size of the HVAC area of ​​the HVAC equipment, so that the HVAC equipment can be adjusted according to the actual situation, thereby improving the utilization rate of the HVAC equipment inside the computer room, and reducing unnecessary waste of resources while ensuring that the temperature inside the computer room can be accurately controlled. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 This is a schematic diagram of the module composition of the efficient computer room HVAC equipment management system based on the Internet of Things of the present invention;

[0048] Figure 2 The present invention is a flowchart of the steps of an efficient computer room HVAC equipment management method based on the Internet of Things. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] Example: Figure 1-2 As shown, the present invention provides the following technical solution, an efficient computer room HVAC equipment management system based on the Internet of Things, the management system includes a digital processing module, a distribution planning module, an image processing module, an abnormality positioning module and a management control module;

[0051] The digital processing module is used to digitize the computer room to improve the efficiency and accuracy of HVAC equipment management; the distribution planning module is used to plan the installation location of the HVAC equipment to achieve precise control of the temperature inside the computer room, so as to improve the utilization efficiency of each HVAC equipment in the computer room; the image analysis module is used to process the images collected by the distribution planning module, so that the images can be converted into digital images, which is convenient for abnormal analysis of the images; the abnormal positioning module is used to locate the abnormal temperature position inside the computer room, so as to determine the position to turn on the HVAC equipment, so as to achieve precise control of the temperature inside the computer room and improve the utilization rate of the HVAC equipment; the management control module is used to perform intelligent control of the HVAC equipment, improve the utilization rate of the HVAC equipment inside the computer room, and ensure the normal operation of the computer room.

[0052] The digital processing module includes a three-dimensional modeling unit and a coordinate system establishment unit;

[0053] The three-dimensional modeling unit is used to establish a three-dimensional model of the computer room according to the input three-dimensional data. The three-dimensional data of the computer room can be obtained through a three-dimensional scanner, so that the digital modeling of the computer room can be realized; the coordinate system establishment unit is used to establish a three-dimensional rectangular coordinate system on the three-dimensional model, and assign coordinate values ​​to each point in the three-dimensional model, for example: assign coordinate values ​​to each infrared thermal imager in the three-dimensional model, and assign coordinate values ​​to each HVAC equipment in the three-dimensional model, so that the digital processing of the HVAC equipment inside the computer room can be realized, and the management of the HVAC equipment is more efficient and energy-saving;

[0054] The distribution planning module includes infrared thermal imagers, HVAC equipment and installation positioning units;

[0055] The infrared thermal imager is installed inside the computer room to obtain thermal imaging images of the computer room so as to understand the temperature changes inside the computer room. Moreover, compared with the temperature collection of traditional temperature monitors, the infrared thermal imager can realize comprehensive and accurate monitoring of the temperature changes inside the computer room, making the temperature monitoring inside the computer room more comprehensive; the HVAC equipment is installed inside the computer room to control the ambient temperature inside the computer room to ensure the normal operation of the computer room. The HVAC equipment includes heating, ventilation and air conditioning. The area covered by the HVAC equipment is the HVAC area, for example: one HVAC equipment covers a 5*5 HVAC area; the installation positioning unit is used to locate the installation position inside the computer room according to the HVAC area of ​​the HVAC equipment, so that the HVAC equipment can control the temperature of each area inside the computer room, reduce the number of HVAC equipment installed, and improve the utilization rate of the HVAC equipment.

[0056] The image processing module includes an image segmentation unit and a label adding unit;

[0057] The image segmentation unit is used to divide the thermal imaging image into several areas. For example, the thermal imaging image can be segmented by unit pixels, which is convenient for locating the abnormal temperature area inside the computer room through the analysis of the thermal imaging image in the later stage. The label adding unit is used to add labels to the several areas divided by the image segmentation unit. For example, 20-15 represents the 15th area of ​​the 20th row after the division of the areas on the thermal imaging image, so that the abnormal area can be accurately located according to the label.

[0058] The anomaly positioning module includes a region comparison unit, a reference plane establishment unit and a mapping projection unit;

[0059] The area comparison unit is used to compare adjacent areas on the thermal imaging image, where adjacent areas refer to adjacent areas among several areas after the thermal imaging image is divided, and determine the boundaries of color changes on the thermal imaging image to judge the area with abnormal temperature; the reference plane establishment unit establishes a reference plane perpendicular to the thermal imaging image based on the comparison results of the area comparison unit and with the temperature abnormal area as the center point, so as to determine the approximate area of ​​the temperature abnormal area inside the computer room, so as to turn on the specified HVAC equipment for temperature control; after establishing the reference plane, the mapping projection unit projects along the Z axis direction to the plane where the X axis and the Y axis are located in the three-dimensional model, and determines the coordinate values ​​of the intersection of at least two reference planes on the plane where the X axis and the Y axis are located, so as to determine the specific HVAC equipment to be turned on.

[0060] The management control module includes a location determination unit and a command control unit;

[0061] The position determination unit is used to determine the HVAC area position of each HVAC equipment, so as to timely determine the position of the HVAC equipment that needs to be turned on according to the temperature abnormality area; the instruction receiving unit is used to receive the positioning instruction of the abnormal positioning module, and control the corresponding HVAC equipment to be turned on according to the positioning instruction, so as to realize precise control of the temperature of the specified area inside the computer room.

[0062] An efficient computer room HVAC equipment management method based on the Internet of Things includes the following steps:

[0063] S1. Use a digital processing module to establish a three-dimensional model of the computer room, and establish a three-dimensional rectangular coordinate system on the three-dimensional model;

[0064] S2. Plan the installation location of HVAC equipment inside the computer room using the distribution planning module, and collect thermal imaging images inside the computer room;

[0065] S3, using the image processing module to segment the thermal imaging image, and adding a label to each segmented area;

[0066] S4, using the abnormality positioning module to analyze the segmented thermal imaging image to determine the area with abnormal temperature inside the computer room;

[0067] S5. Use the management control module to control the HVAC equipment to regulate the temperature of the area with abnormal temperature inside the computer room.

[0068] In S1-S2, a 3D scanner is used to obtain 3D data inside the computer room, and a 3D modeling unit is used to build a 3D model inside the computer room. A 3D rectangular coordinate system is built on the 3D model using a coordinate system building unit, and a coordinate value (X i ,Y i ), where i represents the i-th point in the three-dimensional model;

[0069] The HVAC area of ​​the HVAC equipment is L*L, and the area function of the HVAC area is |cd|=|ef|=L, where a, b, c, d, e, and f are all set coefficients. For example, the HVAC area is a 5m*5m area, and the HVAC equipment is installed on the top of the computer room. The installation positioning unit is used to locate the HVAC equipment at an installation spacing of 2*L on the top of the computer room, ensuring that the temperature of each area inside the computer room can be regulated by the HVAC equipment. Several infrared thermal imagers are installed on the top and side walls of the computer room. The infrared thermal imagers acquire thermal images of the interior of the computer room. Using the infrared thermal imager to monitor and detect the temperature inside the computer room can avoid detection blind spots and ensure the accuracy of temperature detection.

[0070] In S3, the thermal imaging image is divided into several regions of equal area using the image segmentation unit, for example, each pixel is a region, and a label adding unit is used to add a label X to each region. k -Y s , where X k Indicates the kth row of the current region among all the regions segmented, Y s Indicates the sth column of the current region among all the split regions.

[0071] In S4, grayscale processing is performed on each region after the thermal imaging image is segmented to obtain the grayscale value G of the region. k-s , G k-s represents the gray value of the region in the kth row and sth column among the regions segmented by the image segmentation unit;

[0072] The region comparison unit is used to compare two adjacent regions according to the following formula:

[0073]

[0074] Among them, G k-(s+1)represents the gray value of the kth row and s+1th column in several regions, G (k+1)-s represents the gray value of the k+1th row and sth column in several regions, G k-(s-1) Represents the gray value of the kth row and s-1th column in several regions, G (k-1)-s Represents the gray value of the k-1th row and sth column area in several areas; Represents the absolute value of the grayscale value difference of the area adjacent to the area in the kth row and sth column;

[0075] when When , it indicates that there is a boundary between the region of the kth row and the sth column and the region of the kth row and the s+1th column, then the region of the kth row and the sth column is taken as the boundary point;

[0076] when When , it indicates that there is a boundary between the region of the kth row and the sth column and the region of the k+1th row and the sth column, then the region of the kth row and the sth column is taken as the boundary point;

[0077] when When , it indicates that there is a boundary between the region of the kth row and the sth column and the region of the kth row and the s-1th column, then the region of the kth row and the sth column is taken as the boundary point;

[0078] when When , it indicates that there is a boundary between the region of the kth row and the sth column and the region of the k-1th row and the sth column, then the region of the kth row and the sth column is taken as the boundary point, where G represents the threshold of the gray value difference;

[0079] Because when the temperature of a certain area is abnormal, there will be a difference in grayscale value after grayscale processing on the thermal imaging image. Therefore, when comparing, it is possible to determine whether there is an abnormal temperature area based on the difference in grayscale value.

[0080] The regional comparison unit is used to connect several boundary points, and the area surrounded by several boundary points forms an abnormal area, and the abnormal area is marked; because when a temperature anomaly occurs, it must be that the temperature value of a certain point or a certain area is abnormal, so when analyzing the thermal imaging image, there must be several boundary points to form an abnormal area;

[0081] A reference plane establishment unit is used to establish a reference plane perpendicular to the thermal imaging image and perpendicular to the XOY plane in the three-dimensional rectangular coordinate system by taking a certain point in the abnormal area as a positioning point;

[0082] The reference plane in the three-dimensional model is projected by a mapping projection unit, and is projected along the Z axis direction to the plane where the X axis and the Y axis are located in the three-dimensional model to determine the coordinate values ​​(X j ,Y j );

[0083] Then the coordinate value (X j ,Y j ) is located in an abnormal temperature area.

[0084] As for the determination of the coordinate point, the position of the intersection point on the XOY plane can be determined by projection, and the coordinate point can be assigned a coordinate value using a coordinate system establishment unit.

[0085] By projecting several reference planes established in the three-dimensional model, the reference plane perpendicular to the XOY plane is projected onto the XOY plane. By determining the projection of the intersection of at least two reference planes on the XOY plane, the spatial position of the abnormal temperature area inside the computer room can be determined, thereby locating the abnormal temperature area inside the computer room.

[0086] In S5, the temperature abnormality coordinate point (X j ,Y j ) belongs to the HVAC area, and determines the HVAC equipment to which the HVAC area belongs, and uses the command control unit to control the HVAC equipment to regulate the temperature of the abnormal temperature area.

[0087] Since the abnormal temperature inside the computer room is caused by abnormal temperature rise in local areas, it is only necessary to control the HVAC equipment to cool down the abnormal temperature area.

[0088] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. An efficient computer room HVAC equipment management method based on the Internet of Things, characterized by: The management method includes the following steps: S1. Use a digital processing module to establish a three-dimensional model of the computer room, and establish a three-dimensional rectangular coordinate system on the three-dimensional model; S2. Plan the installation location of HVAC equipment inside the computer room using the distribution planning module, and collect thermal imaging images inside the computer room; S3, using the image processing module to segment the thermal imaging image, and adding a label to each segmented area; S4, using the abnormality positioning module to analyze the segmented thermal imaging image to determine the area with abnormal temperature inside the computer room; S5. Use the management control module to control the HVAC equipment to adjust the temperature of the area with abnormal temperature inside the computer room; In S1-S2, a 3D scanner is used to obtain 3D data inside the computer room, and a 3D modeling unit is used to build a 3D model inside the computer room. A 3D rectangular coordinate system is built on the 3D model using a coordinate system building unit, and a coordinate value (X i ,Y i ), where i represents the i-th point in the three-dimensional model; The HVAC area of ​​the HVAC equipment is L*L, and the area function of the HVAC area is |cd|=|ef|=L, where a, b, c, d, e, and f are all set coefficients. The HVAC equipment is installed on the top of the computer room. The installation spacing of the HVAC equipment on the top of the computer room is 2*L using the installation positioning unit. Several infrared thermal imagers are installed on the top and side walls of the computer room to obtain thermal imaging images of the interior of the computer room. A region comparison unit is used to connect several boundary points, and the region surrounded by the several boundary points forms an abnormal region, and the abnormal region is marked; a reference plane establishment unit is used to establish a reference plane perpendicular to the thermal imaging image and perpendicular to the XOY plane in the three-dimensional rectangular coordinate system with a certain point in the abnormal region as a positioning point; The reference plane in the three-dimensional model is projected by a mapping projection unit, and is projected along the Z axis direction to the plane where the X axis and the Y axis are located in the three-dimensional model to determine the coordinate values ​​(X j ,Y j ); Then the coordinate value (X j ,Y j ) is located in an abnormal temperature area.

2. The efficient computer room HVAC equipment management method based on the Internet of Things according to claim 1 is characterized by: In S3, the thermal imaging image is divided into several regions of equal area using the image segmentation unit, and a label adding unit is used to add a label X to each region. k -Y s , where X k Indicates the kth row of the current region among all the regions segmented, Y s Indicates the sth column of the current region among all the split regions.

3. The efficient computer room HVAC equipment management method based on the Internet of Things according to claim 2 is characterized by: In S4, grayscale processing is performed on each region after the thermal imaging image is segmented to obtain the grayscale value G of the region. k-s , G k-s represents the gray value of the region of the kth row and sth column among the regions segmented by the image segmentation unit; the region comparison unit is used to compare two adjacent regions according to the following formula: Among them, G k-(s+1) represents the gray value of the kth row and s+1th column in several regions, G (k+1)-s represents the gray value of the k+1th row and sth column in several regions, G k-(s-1) Represents the gray value of the kth row and s-1th column in several regions, G (k-1)-s Represents the gray value of the k-1th row and sth column area in several areas; Represents the absolute value of the grayscale value difference of the area adjacent to the area in the kth row and sth column; when When , it indicates that there is a boundary between the region of the kth row and the sth column and the region of the kth row and the s+1th column, then the region of the kth row and the sth column is taken as the boundary point; when When , it indicates that there is a boundary between the region of the kth row and the sth column and the region of the k+1th row and the sth column, then the region of the kth row and the sth column is taken as the boundary point; when When , it indicates that there is a boundary between the region of the kth row and the sth column and the region of the kth row and the s-1th column, then the region of the kth row and the sth column is taken as the boundary point; when When , it indicates that there is a boundary between the region of the kth row and the sth column and the region of the k-1th row and the sth column, then the region of the kth row and the sth column is taken as the boundary point, where G represents the set threshold value of the gray value difference.

4. The efficient computer room HVAC equipment management method based on the Internet of Things according to claim 3 is characterized by: In S5, the temperature abnormality coordinate point (X j ,Y j ) to which the HVAC area belongs, and determines the HVAC equipment to which the HVAC area belongs, and uses the command control unit to control the HVAC equipment to regulate the temperature of the abnormal temperature area.

5. A HVAC equipment management system that implements the efficient computer room HVAC equipment management method based on the Internet of Things as described in any one of claims 1 to 4, characterized in that: The management system includes a digital processing module, a distribution planning module, an image processing module, an abnormality positioning module, and a management control module; The digital processing module is used to digitize the computer room; the distribution planning module is used to plan the installation location of the HVAC equipment; the image analysis module is used to process the images collected by the distribution planning module; the abnormality positioning module is used to locate the abnormal temperature position inside the computer room; and the management control module is used to intelligently control the HVAC equipment.

6. The HVAC equipment management system according to claim 5, characterized in that: The digital processing module includes a three-dimensional modeling unit and a coordinate system establishment unit; The three-dimensional modeling unit is used to establish a three-dimensional model of the computer room according to the input three-dimensional data; the coordinate system establishment unit is used to establish a three-dimensional rectangular coordinate system on the three-dimensional model and assign coordinate values ​​to each point in the three-dimensional model; The distribution planning module includes an infrared thermal imager, HVAC equipment and an installation positioning unit; The infrared thermal imager is installed inside the computer room to obtain thermal imaging images inside the computer room; the HVAC equipment is installed inside the computer room to control the ambient temperature inside the computer room to ensure the normal operation of the computer room. The area covered by the HVAC equipment is the HVAC area; the installation positioning unit is used to locate the installation position inside the computer room according to the HVAC area of ​​the HVAC equipment.

7. The HVAC equipment management system according to claim 6, characterized in that: The image processing module includes an image segmentation unit and a label adding unit; The image segmentation unit is used to divide the thermal imaging image into a plurality of regions; the label adding unit is used to add labels to the plurality of regions divided by the image segmentation unit.

8. The HVAC equipment management system according to claim 7, characterized in that: The anomaly positioning module includes a region comparison unit, a reference plane establishment unit and a mapping projection unit; The area comparison unit is used to compare adjacent areas on the thermal imaging image to determine the boundaries of color changes on the thermal imaging image; the reference plane establishment unit establishes a reference plane perpendicular to the thermal imaging image with the temperature abnormality area as the center point based on the comparison result of the area comparison unit; after establishing the reference plane, the mapping projection unit projects along the Z axis direction to the plane where the X axis and the Y axis are located in the three-dimensional model to determine the coordinate values ​​of the intersection of at least two reference planes on the plane where the X axis and the Y axis are located.

9. The HVAC equipment management system according to claim 8, characterized in that: The management control module includes a location determination unit and an instruction control unit; The position determination unit is used to determine the HVAC area position of each HVAC device; the instruction control unit is used to receive the positioning instruction of the abnormal positioning module and control the corresponding HVAC device to start according to the positioning instruction.

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