An automated inspection system for computer room operation and maintenance management

Abstract

The present invention discloses an automated inspection system for computer room operation and maintenance management, which relates to the technical field of computer room operation and maintenance management. The system comprises a route acquisition module, a rated control steering angle acquisition module, a benchmark route acquisition module, an inspection robot calibration line acquisition module, a deviation angle acquisition module, a required adjustment angle acquisition module and an update module. By using the required adjustment angle corresponding to each intermediate control node as the new rated control steering angle value corresponding to each intermediate control node, the rated control steering angle value corresponding to each intermediate control node is adjusted and updated, so that the robot can subsequently operate according to the corrected parameters when turning at the node, so that the robot can turn according to the corrected angle when passing the same node subsequently, so that the robot can turn more accurately on the predetermined inspection route, thereby significantly improving the inspection accuracy and ensuring accurate monitoring of the computer room equipment status and environmental data.

Description

Technical Field

[0001] The invention belongs to the technical field of computer room operation and maintenance management, and in particular relates to an automatic inspection system for computer room operation and maintenance management. Background Art

[0002] With the rapid development and widespread adoption of information technology, computer rooms have become the core platform for business management in various enterprises and institutions. To ensure the secure, stable, and high-speed transmission of internet data, data centers, serving as transit and processing centers, require corresponding communications rooms to handle this data. The size of communications rooms will also increase with the volume and rate of internet data transmission. To ensure the proper functioning of communications rooms, appropriate operations and maintenance management is required. Currently, operations and maintenance management of communications rooms primarily rely on specialized inspection robots that conduct regular inspections along predetermined routes, monitoring the actual operating status of the rooms.

[0003] Patent publication number CN114415674A discloses a computer room operation and maintenance system. The system includes a server, a monitoring host, at least one sensor, and a patrol robot. The sensor is located in the computer room and is used to collect environmental data within the computer room. The monitoring host is in communication with the sensor and receives the environmental data collected by the sensor. The server is in communication with the monitoring host and receives the environmental data sent by the monitoring host. The patrol robot is in communication with the server and receives patrol instructions from the server. In response to the patrol instructions, the robot monitors the status of equipment within the computer room according to target patrol routes and target patrol points. The robot then sends the status information to the server, reducing labor costs and improving the efficiency of computer room operation and maintenance.

[0004] However, in the process of patrol robots performing computer room operation and maintenance management, in the complex and changeable computer room environment, due to factors such as ground bumps, defects of the patrol robots themselves or errors in the control system, the patrol robots often deviate from the predetermined angle during driving. If this deviation is not corrected in time, the patrol robots will not be able to reach the predetermined position during subsequent steering control, thereby affecting the accuracy and effect of the inspection. Based on this, an automated patrol system for computer room operation and maintenance management is proposed. Summary of the Invention

[0005] The purpose of the present invention is to provide an automated inspection system for computer room operation and maintenance management, which solves the technical problem that in a complex and changeable computer room environment, the inspection robot's driving direction deviates from a predetermined angle due to factors such as ground bumps, defects in the inspection robot itself, or errors in the control system.

[0006] An automated inspection system for computer room operation and maintenance management, comprising:

[0007] The route acquisition module is used to obtain the starting point, end point and intermediate control nodes of the inspection route of the inspection robot in the computer room;

[0008] The rated control steering angle acquisition module is used to obtain the rated control steering angle corresponding to each intermediate control node in the inspection route of the inspection robot;

[0009] The benchmark route acquisition module is used to obtain the benchmark routes corresponding to each intermediate control node in the inspection route;

[0010] The inspection robot calibration line acquisition module is used to acquire the inspection robot calibration line according to the inspection robot's contour line;

[0011] The deviation angle acquisition module is used to repeatedly acquire and analyze the angles between the inspection robot's calibration line and the calibration routes of each intermediate control node, thereby obtaining the deviation angle of the inspection robot at each intermediate control node;

[0012] The module for obtaining the angle to be adjusted is used to obtain the angle to be adjusted corresponding to each intermediate control node in the inspection route of the inspection robot;

[0013] The updating module is used to update the rated control steering angle values ​​corresponding to each intermediate control node in the inspection route of the inspection robot according to the required adjustment angle.

[0014] As a further solution of the present invention, a specific method for obtaining the corresponding benchmark routes of each intermediate control node in the inspection route is as follows:

[0015] The initial point on the inspection route is taken as the first node, and the end point is taken as the last node. The node numbers An corresponding to the initial point, the end point and each intermediate control node are obtained in order from front to back. n refers to different nodes, where n = 1, 2, ..., a, a is the total number of nodes on the inspection route, a is a positive integer, and a>2; the initial point and the end point on the inspection route and each intermediate control node are connected in pairs in order from front to back to obtain segment lines, and each segment line is numbered in order from front to back to obtain the segment numbers Bz corresponding to each segment line. z refers to different segment lines, where z = 1, 2, ..., b, b is the total number of segment lines on the inspection route, b is a positive integer, b = a-1, b>1, and the segment lines with the same z in the segment number Bz and n in the node number An are matched as the corresponding intermediate control node's benchmark routes, thereby obtaining the benchmark routes corresponding to each intermediate control node in the inspection route.

[0016] As a further solution of the present invention: the specific method of obtaining the calibration line of the inspection robot according to the contour line of the inspection robot is:

[0017] The midpoint of the front end line of the inspection robot's contour is used as the calibration point, and then a perpendicular line perpendicular to the front end line is drawn through this point. This perpendicular line is used as the inspection robot's calibration line, and the calibration point is used as the endpoint R of the calibration line.

[0018] As a further solution of the present invention, the specific method of obtaining the deviation angle of the inspection robot at each intermediate control node is:

[0019] S1: Randomly select one of the intermediate control nodes in the inspection route as the analysis node without replacement, and obtain the corresponding calibration route as the analysis route. After the inspection robot calibration line D is controlled and turned at the analysis node, the angle Fe between it and the analysis route is obtained e times, where e is the preset number of times, e>2;

[0020] S2: Obtain the value Fv of the angle Fe that meets the preset screening condition T1, where v is the number of values ​​in Fe that meet the preset screening condition T1, e≥v≥1. When the number v is greater than the preset threshold Y1, the mean value Fp of Fe is defined as the deviation angle H1 corresponding to the inspection robot at the analysis node. When the number v is less than the preset threshold Y1, the mean of the maximum and minimum values ​​in Fe is defined as the deviation angle H1 corresponding to the inspection robot at the analysis node.

[0021] S3: Repeat steps S1-S2 to obtain the deviation angle Hr corresponding to each intermediate control node in the inspection route of the inspection robot, where r refers to a different intermediate control node, r is a positive integer, and r>1.

[0022] As a further solution of the present invention, the specific method for obtaining the angle between the inspection robot calibration line and the analysis route after the inspection robot calibration line is controlled to turn at the analysis node is as follows:

[0023] The endpoint R of the inspection robot's calibration line D is coincided with the endpoint corresponding to the analysis node on the analysis route. When the calibration line D is located above the analysis route, the product of the angle between the calibration line D and the analysis route and +1 is used as the angle between the inspection robot's calibration line D and the analysis route after the control steering is performed at the analysis node. When the calibration line D is located below the analysis route, the product of the angle between the calibration line D and the analysis route and -1 is used as the angle between the inspection robot's calibration line D and the analysis route after the control steering is performed at the analysis node. When the calibration line D coincides with the analysis route, 0 is used as the angle between the inspection robot's calibration line D and the analysis route after the control steering is performed at the analysis node.

[0024] As a further solution of the present invention: the preset condition T1 is specifically: |Fe-Fp|≥Y2, where Y2 is a preset value.

[0025] As a further solution of the present invention, the specific method of obtaining the angles to be adjusted corresponding to the respective intermediate control nodes of the inspection robot in the inspection route is as follows:

[0026] The sum of the rated control steering angle corresponding to each intermediate control node in the inspection route and the deviation angle corresponding to each intermediate control node in the inspection route is used as the required adjustment angle corresponding to each intermediate control node in the inspection route.

[0027] As a further solution of the present invention, the specific method for updating the rated control steering angle values ​​corresponding to each intermediate control node in the inspection route of the inspection robot is as follows:

[0028] Based on the required adjustment angle calculated by the required adjustment angle acquisition module, the required adjustment angle at each intermediate control node is directly used as a new rated control steering angle value to replace the original rated control steering angle value.

[0029] Compared with the prior art, the present invention has the following beneficial effects:

[0030] (1) The present invention directly reflects the difference between the actual steering and the rated control steering of the inspection robot at each intermediate control node through the deviation angle, and can accurately understand the steering deviation degree of the robot at each key position, so as to make targeted adjustments, so that the robot can more accurately turn to the predetermined direction when passing the same node later, ensuring that it strictly follows the preset inspection route and reducing path deviation;

[0031] (2) The present invention adjusts and updates the rated control steering angle values ​​corresponding to each intermediate control node by using the required adjustment angle corresponding to each intermediate control node as the new rated control steering angle values ​​corresponding to each intermediate control node, so that the robot can operate according to the revised parameters when turning at the node later, so that the robot can turn according to the revised angle when passing the same node later, making the robot's turning on the predetermined inspection route more accurate, thereby significantly improving the inspection accuracy and ensuring accurate monitoring of the equipment status and environmental data of the computer room. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 Schematic diagram of the system framework structure of the present invention;

[0033] Figure 2 This is a schematic diagram of the inspection route of the present invention;

[0034] Figure 3 A schematic diagram of the calibration line of the inspection robot of the present invention;

[0035] Figure 4 This is a schematic diagram of the analysis route and angle of the present invention. DETAILED DESCRIPTION

[0036] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0037] Example 1: Please refer to Figures 1-4 ,This application provides an automated inspection system for computer room operation and maintenance management, including;

[0038] The route acquisition module is used to obtain the inspection route of the inspection robot in the machine room. The inspection route includes the starting point and end point of the inspection route and various intermediate control nodes;

[0039] The rated control steering angle acquisition module is used to obtain the rated control data corresponding to each intermediate control node in the inspection route of the inspection robot. The rated control data includes the rated control steering angle, which is pre-set based on the ideal inspection route and the steering capability of the robot.

[0040] The benchmark route acquisition module obtains the benchmark routes corresponding to each intermediate control node in the inspection route according to the position of each intermediate control node in the inspection route. The specific method is as follows:

[0041] According to the initial point and the end point and each intermediate control node on the inspection route, the initial point is taken as the first node of the inspection route, and the end point is taken as the last node of the inspection route. The initial point and the end point and each intermediate control node on the inspection route are numbered in order from front to back, thereby obtaining node numbers corresponding to the initial point and the end point and each intermediate control node respectively. The initial point and the end point and each intermediate control node on the inspection route are connected in pairs in order from front to back to obtain a section line, thereby obtaining multiple section lines, and numbering each section line in order from front to back, thereby obtaining a section number corresponding to each section line respectively;

[0042] The node numbers corresponding to the initial point, the end point, and each intermediate control node are marked as An, n refers to different nodes, where n = 1, 2, ..., a, a is the total number of nodes on the inspection route, a is a positive integer, a>2;

[0043] The road section numbers corresponding to the road sections on the inspection route are marked as Bz, where z represents different road sections, where z = 1, 2, ..., b, b is the total number of road sections on the inspection route, b is a positive integer, b = a-1, b>1;

[0044] Match the road segment line with the same z in the road segment number Bz and n in the node number An as the corresponding benchmark route of the intermediate control node, and then obtain the benchmark route corresponding to each intermediate control node in the inspection route;

[0045] The inspection robot calibration line acquisition module acquires the inspection robot's calibration line according to the inspection robot's contour line. The specific method is as follows:

[0046] Get the contour line of the inspection robot, use the midpoint of the front end line of the robot contour line as the calibration point, draw a perpendicular line L through the calibration point and perpendicular to the front end line of the robot contour line, use the perpendicular line L as the inspection robot calibration line D, and use the calibration point R as the endpoint R of the calibration line D;

[0047] The deviation angle acquisition module repeatedly acquires and analyzes the angles between the inspection robot's calibration line and the corresponding calibration routes of each intermediate control node in the inspection route, and then obtains the deviation angle corresponding to each intermediate control node in the inspection route of the inspection robot. The specific method is as follows:

[0048] S1: Randomly select one of the intermediate control nodes in the inspection route as the analysis node without replacement, and obtain the corresponding benchmark route of the analysis node as the analysis route;

[0049] The included angles between the inspection robot's calibration line D and the analysis route are obtained after the inspection robot controls the steering at the analysis node e times, and are marked as Fe, where e is the preset number of times, e>2;

[0050] The specific method for obtaining the angle between the inspection robot's calibration line D and the analysis route after the inspection robot is controlled to turn at the analysis node is as follows:

[0051] The endpoint R of the inspection robot's calibration line D is overlapped with the endpoint corresponding to the analysis node on the analysis route. This step ensures that the two lines start calculating the angle at the same starting point or end point. When the calibration line D is above the analysis route, the product of the angle between the calibration line D and the analysis route and +1 is used as the angle between the inspection robot's calibration line D and the analysis route after the control steering at the analysis node. When the calibration line D is below the analysis route, the product of the angle between the calibration line D and the analysis route and -1 is used as the angle between the inspection robot's calibration line D and the analysis route after the control steering at the analysis node. When the calibration line D coincides with the analysis route, the angle between the inspection robot's calibration line D and the analysis route after the control steering at the analysis node is 0.

[0052] For example, assuming the angle between the calibration line D and the analysis route is 30°, and the calibration line D is located above the analysis route, then the obtained angle is 30°×1=30°. If the calibration line D is located below the analysis route and the angle is still 30°, then the obtained angle is 30°×(-1)=-30°. This method can clearly distinguish the angles corresponding to different positional relationships of the calibration line D relative to the analysis route;

[0053] It should be noted that the angle between the inspection robot's calibration line D and the analysis route after the inspection robot controls the steering at the analysis node can be calculated by integrating angle measurement software and utilizing the robot's own sensor data, such as lidar, visual sensors, etc., in combination with built-in algorithms. The angle can also be obtained by installing actual angle measurement equipment on the robot. For example, installing high-precision angle sensors at the joints or specific locations of the robot can provide the system with accurate angle data for subsequent deviation angle calculations and other operations. The above methods are all existing and mature technologies, so they will not be described in detail here.

[0054] S2: Obtain the numerical value Fv of the angle Fe that meets the preset screening condition T1, where v is the number of numerical values ​​in Fe that meet the preset screening condition T1, e≥v≥1, and compare the number v with the preset threshold value Y1. When the number v is greater than the preset threshold value Y1, it means that the number of numerical values ​​in Fe that meet the preset screening condition T1 is large, and the mean value of Fe is representative. Then, the mean value Fp of Fe is defined as the deviation angle H1 corresponding to the inspection robot at the analysis node. When the number v is less than the preset threshold value Y1, it means that the number of numerical values ​​in Fe that meet the preset screening condition T1 is small, and the mean value of Fe is not representative. Then, the mean of the maximum and minimum values ​​in Fe is defined as the deviation angle H1 corresponding to the inspection robot at the analysis node, that is, H1=(Fmin+Fmax) / 2, where Fmax and Fmin are the maximum and minimum values ​​in Fe respectively;

[0055] Here, the preset condition T1 is specifically: |Fe-Fp|≥Y2, where Y2 is a preset value. The specific values ​​of Y1 and Y2 are formulated by relevant personnel based on actual needs;

[0056] S3: Repeat steps S1-S2 to obtain the deviation angle Hr corresponding to each intermediate control node in the inspection route of the inspection robot, where r refers to a different intermediate control node, r is a positive integer, and r>1;

[0057] The deviation angle directly reflects the difference between the inspection robot's actual steering and the rated control steering at each intermediate control node. Obtaining the deviation angle accurately determines the degree of steering deviation at each key location, allowing targeted adjustments to ensure the robot more accurately steers to the intended direction when subsequently passing the same node, ensuring strict adherence to the preset inspection route and minimizing path deviation.

[0058] Embodiment 2: As the embodiment 2 of the present invention, when this application is specifically implemented, compared with embodiment 1, the technical solution of this embodiment differs from embodiment 1 only in that this embodiment further includes a module for obtaining an angle to be adjusted and an updating module;

[0059] The required adjustment angle acquisition module obtains the required adjustment angle corresponding to each intermediate control node in the inspection route of the inspection robot according to the rated control steering angle corresponding to each intermediate control node in the inspection route and the deviation angle corresponding to each intermediate control node in the inspection route of the inspection robot. The specific method is as follows:

[0060] The rated control steering angle corresponding to each intermediate control node in the inspection route of the inspection robot is marked as Gr;

[0061] The sum of the rated control steering angle corresponding to each intermediate control node in the inspection route and the deviation angle corresponding to each intermediate control node in the inspection route is used as the required adjustment angle Ur corresponding to each intermediate control node in the inspection route, that is, Ur = Gr + Hr;

[0062] The update module is used to update the rated control steering angle value corresponding to each intermediate control node in the inspection route of the inspection robot according to the required adjustment angle Ur corresponding to each intermediate control node in the inspection route of the inspection robot. The specific method is as follows:

[0063] The required adjustment angle Ur corresponding to each intermediate control node is used as the new rated control steering angle value corresponding to each intermediate control node, so as to adjust and update the rated control steering angle value corresponding to each intermediate control node, so that the robot can run according to the revised parameters when turning at the node in the future, so that the robot can turn according to the revised angle when passing the same node in the future. The steering control of the inspection robot is continuously optimized, and the steering angle of the inspection robot at each intermediate control node is adjusted to ensure the accuracy of the inspection path. Accurate path control means that the robot can reach each predetermined inspection point more reliably without missing any key equipment or areas, thereby ensuring comprehensive and complete detection of equipment status and environmental data in the computer room, which helps to discover potential problems in a timely manner and improve the effectiveness of computer room operation and maintenance management.

[0064] Example 3: As Example 3 of the present invention, when this application is specifically implemented, compared with Example 1 and Example 2, the technical solution of this example is to combine the solutions of the above-mentioned Example 1 and Example 2 for implementation.

[0065] The above formulas are all dimensionless and numerical calculations. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters and thresholds in the formulas are set by technicians in this field according to actual conditions.

[0066] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. An automated inspection system for computer room operation and maintenance management, characterized in that: include: The route acquisition module is used to obtain the starting point, end point and intermediate control nodes of the inspection route of the inspection robot in the computer room; The rated control steering angle acquisition module is used to obtain the rated control steering angle corresponding to each intermediate control node in the inspection route of the inspection robot; The benchmark route acquisition module is used to obtain the benchmark routes corresponding to each intermediate control node in the inspection route; The inspection robot calibration line acquisition module takes the midpoint of the front end line of the inspection robot's contour as the calibration point, then draws a perpendicular line through this point and uses this perpendicular line as the inspection robot's calibration line. The calibration point is used as the endpoint R of the calibration line. Deviation angle acquisition module, S1: Randomly select one of the intermediate control nodes in the inspection route as an analysis node without replacement, and obtain the corresponding calibration route as the analysis route. After the inspection robot calibration line D is controlled and turned at the analysis node, the included angle Fe between the calibration line D and the analysis route is obtained e times, where e is a preset number of times, e>2; S2: Obtain the value Fv of the angle Fe that meets the preset screening condition T1, where v is the number of values ​​in Fe that meet the preset screening condition T1, e≥v≥1. When the number v is greater than the preset threshold Y1, the mean value Fp of Fe is defined as the deviation angle H1 corresponding to the inspection robot at the analysis node. When the number v is less than the preset threshold Y1, the mean of the maximum and minimum values ​​in Fe is defined as the deviation angle H1 corresponding to the inspection robot at the analysis node. S3: Repeat steps S1-S2 to obtain the deviation angle Hr corresponding to each intermediate control node in the inspection route of the inspection robot, where r refers to a different intermediate control node, r is a positive integer, and r>1; The angle acquisition module needs to be adjusted, and the endpoint R of the inspection robot's calibration line D is coincided with the endpoint corresponding to the analysis node on the analysis route. When the calibration line D is located above the analysis route, the product of the angle value between the calibration line D and the analysis route and +1 is used as the angle between the inspection robot's calibration line D and the analysis route after the control steering is performed at the analysis node. When the calibration line D is located below the analysis route, the product of the angle value between the calibration line D and the analysis route and -1 is used as the angle between the inspection robot's calibration line D and the analysis route after the control steering is performed at the analysis node. When the calibration line D coincides with the analysis route, 0 is used as the angle between the inspection robot's calibration line D and the analysis route after the control steering is performed at the analysis node. The updating module is used to update the rated control steering angle values ​​corresponding to each intermediate control node in the inspection route of the inspection robot according to the required adjustment angle.

2. The automated inspection system for computer room operation and maintenance management according to claim 1, characterized in that: The specific method of obtaining the corresponding benchmark routes of each intermediate control node in the inspection route is as follows: The initial point on the inspection route is taken as the first node, and the end point is taken as the last node. The node numbers An corresponding to the initial point, the end point and each intermediate control node are obtained in order from front to back. n refers to different nodes, where n = 1, 2, ..., a, a is the total number of nodes on the inspection route, a is a positive integer, and a>2; the initial point and the end point on the inspection route and each intermediate control node are connected in pairs in order from front to back to obtain segment lines, and each segment line is numbered in order from front to back to obtain the segment numbers Bz corresponding to each segment line. z refers to different segment lines, where z = 1, 2, ..., b, b is the total number of segment lines on the inspection route, b is a positive integer, b = a-1, b>1, and the segment lines with the same z in the segment number Bz and n in the node number An are matched as the corresponding intermediate control node's benchmark routes, thereby obtaining the benchmark routes corresponding to each intermediate control node in the inspection route.

3. The automated inspection system for computer room operation and maintenance management according to claim 1, characterized in that: The preset condition T1 is specifically: |Fe-Fp|≥Y2, where Y2 is a preset value.

4. The automated inspection system for computer room operation and maintenance management according to claim 1, characterized in that: The specific method for obtaining the angles that need to be adjusted at each intermediate control node in the inspection route of the inspection robot is as follows: The sum of the rated control steering angle corresponding to each intermediate control node in the inspection route and the deviation angle corresponding to each intermediate control node in the inspection route is used as the required adjustment angle corresponding to each intermediate control node in the inspection route.

5. The automated inspection system for computer room operation and maintenance management according to claim 4, characterized in that: The specific method for updating the rated control steering angle values ​​corresponding to each intermediate control node in the inspection route of the inspection robot is as follows: Based on the required adjustment angle calculated by the required adjustment angle acquisition module, the required adjustment angle at each intermediate control node is directly used as a new rated control steering angle value to replace the original rated control steering angle value.

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