Machine room environment multi-dimensional intelligent monitoring system and method based on edge calculation

Abstract

The invention discloses a machine room environment multi-dimensional intelligent monitoring system and method based on edge computing, and relates to the technical field of intelligent monitoring, and the system comprises a machine room wiring space monitoring module, a machine room wiring space threat analysis module, a machine room wiring space early warning processing module and a local database. The intelligent robot is dispatched to monitor the wiring space at the bottom of the machine room, damage to workers is reduced, the analysis efficiency is improved, and by analyzing whether each fault line in the wiring space at the bottom of the machine room has the problems of line damage, electromagnetic interference and electrostatic plate failure or not, the fault line can be accurately detected. According to the method, the early warning range of each line in each faulty line can be accurately positioned, the fault reason of the faulty line is analyzed from all aspects, so that subsequent optimization processing is facilitated, the early warning range of the line is prevented from being further damaged as much as possible through optimization processing, and the operation efficiency of a machine room is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent monitoring, and particularly to a multi-dimensional intelligent monitoring system and method for computer room environment based on edge computing. Background Art

[0002] With the continuous expansion of the scale of data centers and computer rooms, the traditional manual inspection method can no longer meet the requirements of modern computer room operation and maintenance. In addition, for the sake of beauty and space saving, a wiring space is separated by an electrostatic plate at the lower part of the computer room, and relevant wires are arranged in the wiring space. However, the inspection method for the wiring space relies too much on manual work, resulting in problems that cannot be discovered in time, thus reducing the operation efficiency of the computer room. Therefore, it is very necessary to conduct intelligent monitoring on the wiring space of the computer room.

[0003] The prior art, such as a data center computer room environment monitoring system disclosed in the invention patent application with the publication number of CN113311841B, includes: at least one of the n server cabinets is controlled to move within a predetermined range. This invention realizes the full-range dynamic inspection and status control of the data center computer room. The prior art, such as a communication computer room environment monitoring system and method based on edge computing disclosed in the invention patent application with the publication number of CN119669000A, includes: This invention significantly improves the security and efficiency of communication computer room monitoring by combining the construction of communication computer room maps and risk assessment technologies, can discover abnormal situations in time and make responses, ensures the stable operation of the communication computer room, and enhances the reliability and security of the communication network.

[0004] In view of the above solutions, in the current multi-dimensional intelligent monitoring system for computer room environment, there is a lack of certain attention to the robot intelligent monitoring of the wiring space at the bottom of the computer room. The wiring space not only has a complex and hidden environment, making it difficult for manual work to comprehensively detect, but also has a complex electromagnetic environment, and there is a risk of electric shock during manual inspection. Moreover, in the wiring space, the distance between each line is relatively close. When encountering strong electricity, it is extremely easy to affect the surrounding lines, resulting in unstable power supply of the lines. In addition, during the long-term use of the electrostatic plate, problems such as coating peeling and coating deterioration will also occur, causing the lines in the wiring space to be affected by the electromagnetic field of the upper communication equipment, thus aggravating the problem of unstable power supply and reducing the working efficiency of the computer room. Summary of the Invention

[0005] The purpose of the present invention is to provide a multi-dimensional intelligent monitoring system and method for computer room environment based on edge computing, which solves the problems existing in the background art.

[0006] To solve the above technical problems, the present invention adopts the following technical solutions: In the first aspect of the present invention, a multi-dimensional intelligent monitoring system for computer room environment based on edge computing is provided, including: a computer room wiring space monitoring module, which is used to perform voltage stabilization tests on each line in the bottom wiring space of the computer room at the target monitoring time point, screen each faulty line in the bottom wiring space of the computer room, and dispatch intelligent robots into the bottom wiring space to monitor each faulty line.

[0007] A threat analysis module for the computer room wiring space, which is used to analyze the line breakage threat coefficient of each monitoring point of each faulty line in the bottom wiring space of the computer room, and evaluate the warning range and warning reason of each line of each faulty line in the bottom wiring space of the computer room.

[0008] A warning processing module for the computer room wiring space, which is used to optimize the warning range of each line of each faulty line in the bottom wiring space of the computer room, and judge whether the optimization processing of each faulty line in the bottom wiring space of the computer room is successful. If not, screen each deactivated line in the bottom wiring space of the computer room, prohibit employees from using each deactivated line in the bottom wiring space of the computer room, and send its relevant data to the computer room responsible person.

[0009] In the second aspect of the present invention, an intelligent monitoring method for executing the above multi-dimensional intelligent monitoring system for computer room environment based on edge computing is provided, including: Step 1. Computer room wiring space monitoring: Perform voltage stabilization tests on each line in the bottom wiring space of the computer room at the target monitoring time point, screen each faulty line in the bottom wiring space of the computer room, and dispatch intelligent robots into the bottom wiring space to monitor each faulty line.

[0010] Step 2. Threat analysis of the computer room wiring space: Analyze the line breakage threat coefficient of each monitoring point of each faulty line in the bottom wiring space of the computer room, and evaluate the warning range and warning reason of each line of each faulty line in the bottom wiring space of the computer room.

[0011] Step 3. Warning processing of the computer room wiring space: Optimize the warning range of each line of each faulty line in the bottom wiring space of the computer room, and judge whether the optimization processing of each faulty line in the bottom wiring space of the computer room is successful. If not, screen each deactivated line in the bottom wiring space of the computer room, prohibit employees from using each deactivated line in the bottom wiring space of the computer room, and send its relevant data to the computer room responsible person.

[0012] The beneficial effects of the present invention are as follows: (1) The computer room wiring space monitoring module of the present invention monitors the wiring space at the bottom of the computer room by dispatching intelligent robots, reducing the harm to staff, and facilitating the acquisition of data for various monitoring experiments, determining the faulty lines, thus facilitating subsequent further analysis and improving the analysis efficiency.

[0013] (2) The threat analysis module for the cable routing space in the computer room of the present invention can not only accurately locate the warning range of each cable in each faulty cable by analyzing whether there are problems such as cable breakage, electromagnetic interference, and electrostatic plate failure in the cable routing space at the bottom of the computer room, but also analyze the causes of the faults in the faulty cables from various aspects, thus facilitating subsequent optimization processing.

[0014] (3) The warning processing module for the cable routing space in the computer room of the present invention optimizes the warning range of each cable in each faulty cable in the cable routing space at the bottom of the computer room, as much as possible to prevent the further damage of the cable warning range, thereby improving the operation efficiency of the computer room. And after the optimization processing, a voltage regulation experiment is carried out again. If there are still faulty cables that cannot be used normally, the faulty cables will be deactivated, and the relevant information will be sent to the person in charge of the computer room to facilitate their dispatch of personnel to repair each deactivated cable. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0016] Figure 1 It is a schematic diagram of the system module of the present invention.

[0017] Figure 2 It is a schematic diagram of the method flow of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0019] Refer to Figure 1 As shown, the first aspect of the present invention provides a multi-dimensional intelligent monitoring system for the computer room environment based on edge computing, including: a cable routing space monitoring module in the computer room, a threat analysis module for the cable routing space in the computer room, a warning processing module for the cable routing space in the computer room, and a local database.

[0020] It should be noted that the computer room wiring space monitoring module is connected to the computer room wiring space threat analysis module, the computer room wiring space threat analysis module is connected to the computer room wiring space warning processing module, and the local database is connected to the computer room wiring space monitoring module, the computer room wiring space threat analysis module, and the computer room wiring space warning processing module.

[0021] It should also be noted that the local database is used to store the target voltage transmission duration, the test voltages of each line in the bottom wiring space, the appropriate output current values of each line in the bottom wiring space at the test voltage, the fault hazard coefficient threshold, the target step value, the upper limit value of the appropriate dust content corresponding to each line deformation coefficient interval, the initial line surface images of each faulty line in the computer room bottom wiring space at each monitoring point and the initial line thickness values in each direction, the line break threat coefficient threshold, the allowable electric field strength values corresponding to each line break threat coefficient interval, the allowable magnetic field strength value, the normal gray value of the static plate image, the normal thickness value of the static plate, the winding tape thickness corresponding to each line break threat coefficient interval, and the electrostatic coating thickening value corresponding to each upper static plate failure threat coefficient interval.

[0022] The computer room wiring space monitoring module is used to perform voltage stabilization tests on each line in the computer room bottom wiring space at the target monitoring time point, screen each faulty line in the computer room bottom wiring space, and dispatch intelligent robots to enter the bottom wiring space to monitor each faulty line.

[0023] In a specific embodiment of the present invention, for the voltage stabilization test, the specific test method is: obtain the target voltage transmission duration and the test voltages of each line in the bottom wiring space from the local database.

[0024] At the target monitoring time point, continuously input the corresponding test voltage to each line in the computer room bottom wiring space until the target voltage transmission duration has passed, and obtain the output voltage values and output current values of each line in the computer room bottom wiring space at each monitoring time point.

[0025] In a specific embodiment, for obtaining the output voltage values and output current values of each line in the computer room bottom wiring space at each monitoring time point, the specific obtaining method is: obtain the output voltage values and output current values of each line in the computer room bottom wiring space at each monitoring time point through voltage sensors and current sensors installed at the line output end.

[0026] In a specific embodiment of the present invention, for screening each faulty line in the computer room bottom wiring space, the specific screening method is: obtain the appropriate output current value d of each line in the bottom wiring space at the test voltage from the local database x , where x represents the number of each line, x = 1, 2, …, y, and y is a positive integer greater than 2.

[0027] According to the output voltage value a of each line in the bottom wiring space of the computer room at each monitoring time point xi and the output current value b xi , where i represents the number of each monitoring time point, i = 1, 2, …, j, j is a positive integer greater than 2, and according to the test voltage c of each line in the bottom wiring space x , calculate the fault hazard coefficient of each line in the bottom wiring space of the computer room , where j represents the number of monitoring time points.

[0028] Obtain the fault hazard coefficient threshold from the local database. If the fault hazard coefficient of a certain line in the bottom wiring space of the computer room is greater than the fault hazard coefficient threshold, mark this line as a faulty line, so as to screen each faulty line in the bottom wiring space of the computer room.

[0029] In a specific embodiment of the present invention, send an intelligent robot into the bottom wiring space to monitor each faulty line. The specific method is as follows: Obtain the target step value from the local database.

[0030] Send the intelligent robot into the bottom wiring space of the computer room and reach the line access point of the nearest faulty line. The intelligent robot performs monitoring every other target step value along the extension direction of the faulty line, and continuously inputs the corresponding test voltage to each line in the bottom wiring space during this process until it reaches the line outlet of the faulty line, and automatically searches for the line access point of the next nearest faulty line, and so on, so as to monitor each faulty line in the bottom wiring space of the computer room, and obtain the line surface image, electric field intensity value, magnetic field intensity value, dust content value, static electricity plate image above the space and the corresponding static electricity plate thickness and line thickness values in each direction of each pixel point in the image at each monitoring point of each faulty line in the bottom wiring space of the computer room.

[0031] It should be noted that the distance between any two monitoring points of each faulty line in the bottom wiring space of the computer room can be set by the staff themselves, for example: perform monitoring every 1 cm.

[0032] It should also be noted that the center point of the static electricity plate image above the space is the point mapped on the static electricity plate in the vertical direction corresponding to the monitoring point, and a square with a length and width of 2 cm is captured with this center point as the size of the static electricity plate image above the space.

[0033] In a specific embodiment, the method for obtaining the surface layer images, electric field intensity values, magnetic field intensity values, dust content values of each faulty line in the bottom cable routing space of the computer room, the electrostatic plate image above the space, and the electrostatic plate thickness and line thickness values in each direction corresponding to each pixel point in the image is as follows: The surface layer images of each faulty line in the bottom cable routing space of the computer room and the electrostatic plate image above the space are obtained through a camera. The electric field intensity values, magnetic field intensity values, and dust content values of each faulty line in the bottom cable routing space of the computer room at each monitoring point are obtained through electromagnetic sensors and a dust concentration measuring instrument. The electrostatic plate thickness and line thickness values in each direction corresponding to each pixel point in the electrostatic plate image above the space of each faulty line in the bottom cable routing space of the computer room at each monitoring point are obtained through an ultrasonic thickness detector.

[0034] The cable routing space monitoring module of the present invention monitors the cable routing space at the bottom of the computer room by dispatching intelligent robots, reducing harm to staff and facilitating the acquisition of data for various monitoring experiments to determine faulty lines, thereby facilitating further analysis and improving the analysis efficiency.

[0035] The cable routing space threat analysis module is used to analyze the line breakage threat coefficients of each monitoring point of each faulty line in the bottom cable routing space of the computer room, and evaluate the line warning ranges and warning reasons of each faulty line in the bottom cable routing space of the computer room.

[0036] In a specific embodiment of the present invention, the method for analyzing the line breakage threat coefficients of each monitoring point of each faulty line in the bottom cable routing space of the computer room is as follows: Based on the surface layer images of each faulty line in the bottom cable routing space of the computer room at each monitoring point and the line thickness values in each direction, calculate the line deformation coefficients of each faulty line in the bottom cable routing space of the computer room at each monitoring point.

[0037] Obtain the upper limit value of the appropriate dust content corresponding to each line deformation coefficient interval from the local database, and map to obtain the upper limit value of the appropriate dust content f of each faulty line in the bottom cable routing space of the computer room at each monitoring point xn , where x represents the number of each faulty line, x = 1, 2, …, y, y is a positive integer greater than 2, n represents the number of each monitoring point, n = 1, 2, …, m, and m is a positive integer greater than 2.

[0038] Based on the dust content value g of each faulty line in the bottom cable routing space of the computer room at each monitoring point xn , calculate the line breakage threat coefficients of each monitoring point of each faulty line in the bottom cable routing space of the computer room , where e represents the natural constant.

[0039] It should be noted that the greater the line deformation coefficient, the smaller the corresponding upper limit value of the appropriate dust content, and this value can be obtained by researchers through aging experiments on the used lines.

[0040] In a specific embodiment of the present invention, the line deformation coefficients of each faulty line in the bottom cable routing space of the computer room at each monitoring point are calculated as follows: Obtain the initial line surface images of each faulty line in the bottom cable routing space of the computer room at each monitoring point and the initial line thickness values a in each direction from the local database xni , where i represents the number of each direction, i = 1, 2, …, j, and j is a positive integer greater than 2. Extract the gray values b of each pixel point of the initial line surface image of each faulty line in the bottom cable routing space of the computer room at each monitoring point xnp , where p represents the number of each pixel point, p = 1, 2, …, q, and q is a positive integer greater than 2.

[0041] Based on the line surface images of each faulty line in the bottom cable routing space of the computer room at each monitoring point, extract the gray values d of each pixel point of the line surface image of each faulty line in the bottom cable routing space of the computer room at each monitoring point xnp , and based on the line thickness values c in each direction of each faulty line in the bottom cable routing space of the computer room at each monitoring point xni , the line deformation coefficient of each faulty line in the bottom cable routing space of the computer room at each monitoring point .

[0042] In a specific embodiment of the present invention, the specific evaluation method for evaluating the early warning ranges and warning reasons of each faulty line in the bottom cable routing space of the computer room is as follows: Obtain the threshold value of the line breakage threat coefficient from the local database. If the line breakage threat coefficient of a certain monitoring point of a certain faulty line in the bottom cable routing space of the computer room is greater than the threshold value of the line breakage threat coefficient, then mark this monitoring point as a broken monitoring point, so as to screen out the broken monitoring points of each faulty line in the bottom cable routing space of the computer room, and accordingly divide the early warning ranges of each broken line of each faulty line in the bottom cable routing space of the computer room, and take line breakage as its warning reason.

[0043] Obtain the allowable electric field intensity value and allowable magnetic field intensity value corresponding to each line breakage threat coefficient interval from the local database. Based on the line breakage threat coefficient of each faulty line in the bottom cable routing space of the computer room at each monitoring point, map to obtain the allowable electric field intensity value h xn and allowable magnetic field intensity value k xn of each faulty line in the bottom cable routing space of the computer room at each monitoring point. Based on the electric field intensity value l xn and magnetic field intensity value r xn of each faulty line in the bottom cable routing space of the computer room at each monitoring point, the electromagnetic field interference hazard coefficient of each faulty line in the bottom cable routing space of the computer room at each monitoring point 。

[0044] It should be noted that the greater the threat coefficient of line breakage, the greater the corresponding allowable electric field strength value and the greater the corresponding allowable magnetic field strength value. This size relationship is common knowledge, and the specific values can be set by the staff according to the specific experimental data of the line.

[0045] According to the method of dividing the warning ranges of each damaged line of each faulty line in the bottom cable routing space of the computer room, the warning ranges of each electromagnetic line of each faulty line in the bottom cable routing space of the computer room are similarly divided, and electromagnetic interference is used as the warning reason.

[0046] Based on the electrostatic plate images of each faulty line in the bottom cable routing space of the computer room above the space of each monitoring point and the thickness of the electrostatic plate corresponding to each pixel point in the image, the threat coefficient of electrostatic plate failure of each faulty line in the bottom cable routing space of the computer room above each monitoring point is analyzed. Similarly, the warning ranges of each electrostatic plate line of each faulty line in the bottom cable routing space of the computer room are divided, and electrostatic plate failure is used as the warning reason.

[0047] The warning ranges of each damaged line, each electromagnetic line, and each electrostatic plate line of each faulty line in the bottom cable routing space of the computer room are summarized as the warning ranges of each line.

[0048] In a specific embodiment, the method of dividing the warning ranges of each damaged line of each faulty line in the bottom cable routing space of the computer room is as follows: If a damaged monitoring point of a certain faulty line in the bottom cable routing space of the computer room is adjacent to another damaged monitoring point, then the damaged monitoring point and the other damaged monitoring point are divided into a warning range of damaged lines. If any other damaged monitoring point is adjacent to any damaged monitoring point within this warning range of damaged lines, then the other damaged monitoring point is divided into this warning range of damaged lines, and so on, until the warning ranges of each damaged line of each faulty line in the bottom cable routing space of the computer room are obtained.

[0049] In a specific embodiment of the present invention, the method of analyzing the threat coefficient of electrostatic plate failure of each faulty line in the bottom cable routing space of the computer room above each monitoring point is as follows: Based on the electrostatic plate images of each faulty line in the bottom cable routing space of the computer room above the space of each monitoring point, the gray value D of each pixel point of the electrostatic plate image of each faulty line in the bottom cable routing space of the computer room above each monitoring point is extracted xnt , where t represents the number of each pixel point of the electrostatic plate image, t = 1, 2,..., w, and w is a positive integer greater than 2.

[0050] Obtain the normal grayscale value A of the static plate image and the normal thickness value B of the static plate from the local database, and based on the static plate thickness G corresponding to each pixel point in the static plate image above the space of each faulty line at each monitoring point in the bottom wire routing space of the computer room xnt , the threat coefficient of the failure of the static plate above each monitoring point of each faulty line in the bottom wire routing space of the computer room .

[0051] The threat analysis module for the wire routing space in the computer room of the present invention can not only accurately locate the warning range of each line in each faulty line and analyze the fault causes of the faulty lines from various aspects by analyzing whether there are problems such as line breakage, electromagnetic interference, and static plate failure in each faulty line in the bottom wire routing space of the computer room, so as to facilitate subsequent optimization processing.

[0052] The warning processing module for the wire routing space in the computer room is used to optimize the warning range of each line of each faulty line in the bottom wire routing space of the computer room, and determine whether the optimization processing of each faulty line in the bottom wire routing space of the computer room is successful. If not, filter out each deactivated line in the bottom wire routing space of the computer room, prohibit employees from using each deactivated line in the bottom wire routing space of the computer room, and send its relevant data to the person in charge of the computer room.

[0053] In a specific embodiment of the present invention, the method for optimizing the warning range of each line of each faulty line in the bottom wire routing space of the computer room is as follows: If the warning reason for the warning range of a certain line of a certain faulty line in the bottom wire routing space of the computer room is line breakage, extract the maximum line breakage threat coefficient in the warning range of this line, obtain the winding tape thickness corresponding to each line breakage threat coefficient interval from the local database, map to obtain the winding tape thickness of the warning range of this line of this faulty line in the bottom wire routing space of the computer room, and wind the tape with the corresponding thickness on the line within the warning range of this line.

[0054] It should be noted that the greater the line breakage threat coefficient, the greater the corresponding winding tape thickness, which is set by the staff.

[0055] If the warning reason for the warning range of a certain line of a certain faulty line in the bottom wire routing space of the computer room is electromagnetic interference, install an anti-static partition on the line within the warning range of this line.

[0056] If the warning reason for the warning range of a certain line of a certain faulty line in the bottom wire routing space of the computer room is static plate failure, obtain the electrostatic coating thickening value corresponding to each upper static plate failure threat coefficient interval from the local database, map to obtain the electrostatic coating thickening value of the warning range of this line, and apply an anti-static coating with the corresponding electrostatic coating thickening value to the static plate within the range of the static plate image above the space of each monitoring point in the warning range of this line.

[0057] It should be noted that the greater the failure threat coefficient of the upper electrostatic plate, the greater the corresponding electrostatic coating thickening value, which is set by the staff.

[0058] In a specific embodiment, the determination of whether the optimization processing of each faulty line in the wiring space at the bottom of the computer room is successful is performed by re-performing a voltage stabilization test on each faulty line in the wiring space at the bottom of the computer room after the optimization processing. If a faulty line is still determined to be a faulty line after the voltage stabilization test is performed again, then it is determined that the optimization processing of the faulty line in the wiring space at the bottom of the computer room is unsuccessful.

[0059] In a specific embodiment, the screening of the disabled lines in the wiring space at the bottom of the computer room is performed by a specific screening method: if the optimization processing of a faulty line in the wiring space at the bottom of the computer room is judged to be unsuccessful, the faulty line is marked as a disabled line, thereby screening the disabled lines in the wiring space at the bottom of the computer room.

[0060] The computer room wiring space warning processing module of the present invention optimizes the line warning range of each fault line in the wiring space at the bottom of the computer room to prevent the line warning range from being further damaged as much as possible, thereby improving the operating efficiency of the computer room, and after the optimization process, re-performs a voltage stabilization experiment. If there are still faulty lines that cannot be used normally, the faulty lines are disabled and the relevant information is sent to the person in charge of the computer room to facilitate him to dispatch personnel to repair the disabled lines.

[0061] Reference Figure 2 As shown, the second aspect of the present invention provides an intelligent monitoring method for executing the multi-dimensional intelligent monitoring system of the computer room environment based on edge computing, including: Step 1. Computer room wiring space monitoring: at the target monitoring time point, a voltage stabilization test is performed on each line in the wiring space at the bottom of the computer room, and each faulty line in the wiring space at the bottom of the computer room is screened, and an intelligent robot is dispatched to enter the bottom wiring space to perform line monitoring on each faulty line.

[0062] Step 2. Threat analysis of the wiring space in the equipment room: Analyze the line damage threat coefficient of each monitoring point of each fault line in the wiring space at the bottom of the equipment room, and evaluate the line warning range and warning reason of each fault line in the wiring space at the bottom of the equipment room.

[0063] Step 3. Warning processing of the wiring space in the computer room: optimize the warning range of each fault line in the wiring space at the bottom of the computer room, and determine whether the optimization processing of each fault line in the wiring space at the bottom of the computer room is successful. If not, screen the disabled lines in the wiring space at the bottom of the computer room, prohibit employees from using the disabled lines in the wiring space at the bottom of the computer room, and send the relevant data to the person in charge of the computer room.

[0064] The above content is only an example and illustration of the concept of the present invention. Those skilled in the art of the present technology can make various modifications or supplements to the described specific embodiments or use similar methods for substitution, as long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall fall within the protection scope of the present invention.

Claims

1. An edge computing-based multi-dimensional intelligent monitoring system for computer room environment, characterized in that, Including: A monitoring module for the cable routing space in the computer room, which is used to perform voltage regulation tests on each line in the cable routing space at the bottom of the computer room at the target monitoring time point, screen each faulty line in the cable routing space at the bottom of the computer room, and dispatch an intelligent robot into the bottom cable routing space to monitor each faulty line; A threat analysis module for the cable routing space in the computer room, which is used to analyze the line break threat coefficient of each monitoring point of each faulty line in the cable routing space at the bottom of the computer room, and evaluate the line warning range and warning reason of each faulty line in the cable routing space at the bottom of the computer room; A warning processing module for the cable routing space in the computer room, which is used to optimize the line warning range of each faulty line in the cable routing space at the bottom of the computer room, and determine whether the optimization process of each faulty line in the cable routing space at the bottom of the computer room is successful. If not, screen each deactivated line in the cable routing space at the bottom of the computer room, prohibit employees from using each deactivated line in the cable routing space at the bottom of the computer room, and send its relevant data to the person in charge of the computer room.

2. The multi-dimensional intelligent monitoring system for computer room environment based on edge computing according to claim 1, wherein, The specific test method for the voltage regulation test is as follows: Obtain the target voltage transmission duration and the test voltage of each line in the bottom cable routing space from the local database; At the target monitoring time point, continuously input the corresponding test voltage into each line in the cable routing space at the bottom of the computer room until the target voltage transmission duration has passed, and obtain the output voltage value and output current value of each line in the cable routing space at the bottom of the computer room at each monitoring time point.

3. The multi-dimensional intelligent monitoring system for computer room environment based on edge computing according to claim 2, characterized in that, The specific screening method for screening each faulty line in the cable routing space at the bottom of the computer room is as follows: Obtain the suitable output current value d of each line in the bottom routing space at the test voltage from the local database x , where x represents the number of each line, x = 1, 2, …, y, and y is a positive integer greater than 2; According to the output voltage value a of each line in the bottom wire routing space of the computer room at each monitoring time point xi and the output current value b xi , where i represents the number of each monitoring time point, i = 1, 2, …, j, j is a positive integer greater than 2, and according to the measured voltage c of each line in the bottom wire routing space x , the fault hazard coefficient of each line in the bottom wire routing space of the computer room , where j represents the number of monitoring time points; Obtain the fault hazard coefficient threshold from the local database. If the fault hazard coefficient of a certain line in the cable routing space at the bottom of the computer room is greater than the fault hazard coefficient threshold, mark this line as a faulty line, so as to screen each faulty line in the cable routing space at the bottom of the computer room.

4. The multi-dimensional intelligent monitoring system for computer room environment based on edge computing according to claim 2, characterized in that, The specific method for dispatching an intelligent robot into the bottom cable routing space to monitor each faulty line is as follows: Obtain the target step value from the local database; Dispatch an intelligent robot into the cable routing space at the bottom of the computer room and reach the line access point of the nearest faulty line. The intelligent robot performs monitoring every other target step value along the extension direction of the faulty line, and continuously inputs the corresponding test voltage into each line in the cable routing space at the bottom of the computer room during this process until it reaches the line outlet of the faulty line, and automatically searches for the line access point of the next nearest faulty line, and so on, so as to monitor each faulty line in the cable routing space at the bottom of the computer room, and obtain the line surface image, electric field intensity value, magnetic field intensity value, dust content value, static electricity plate image above the space, and the corresponding static electricity plate thickness and line thickness values in each direction of each pixel point in the image of each faulty line in the cable routing space at the bottom of the computer room at each monitoring point.

5. The multi-dimensional intelligent monitoring system for computer room environment based on edge computing according to claim 4, characterized in that, The specific analysis method for analyzing the line break threat coefficient of each monitoring point of each faulty line in the cable routing space at the bottom of the computer room is as follows: Based on the line surface image and the line thickness values in each direction of each faulty line in the cable routing space at the bottom of the computer room, calculate the line deformation coefficient of each faulty line in the cable routing space at the bottom of the computer room at each monitoring point; Obtain the upper limit values of the appropriate dust content corresponding to the deformation coefficient intervals of each line from the local database, and map to obtain the upper limit values of the appropriate dust content f at each monitoring point of each faulty line in the underfloor wiring space of the computer room xn , where x represents the number of each faulty line, x = 1, 2, …, y, y is a positive integer greater than 2, n represents the number of each monitoring point, n = 1, 2, …, m, and m is a positive integer greater than 2; According to the dust content value g of each faulty line at each monitoring point in the bottom cable routing space of the computer room xn , the line break threat coefficient of each monitoring point of each faulty line in the bottom cable routing space of the computer room , where e represents the natural constant.

6. The multi-dimensional intelligent monitoring system for computer room environment based on edge computing according to claim 5, characterized in that The specific calculation method for calculating the line deformation coefficient of each faulty line in the cable routing space at the bottom of the computer room at each monitoring point is as follows: Obtain the initial line surface images of each faulty line in the bottom cable routing space of the computer room at each monitoring point and the initial line thickness values a in each direction from the local database xni , where i represents the number of each direction, i = 1, 2, …, j, and j is a positive integer greater than 2. Extract the gray values b of each pixel point of the initial line surface image of each faulty line in the bottom cable routing space of the computer room at each monitoring point xnp , where p represents the number of each pixel point, p = 1, 2, …, q, and q is a positive integer greater than 2; According to the line surface images of each faulty line in the bottom wiring space of the computer room at each monitoring point, extract the gray value d of each pixel point of the line surface images of each faulty line in the bottom wiring space of the computer room at each monitoring point xnp , and according to the line thickness value c in each direction of each faulty line in the bottom wiring space of the computer room at each monitoring point xni , calculate the line deformation coefficient of each faulty line in the bottom wiring space of the computer room at each monitoring point .

7. The multi-dimensional intelligent monitoring system for computer room environment based on edge computing according to claim 5, characterized in that, The early warning ranges and reasons of each faulty line in the bottom cable routing space of the evaluation computer room are as follows. The specific evaluation method is as follows: Obtain the threshold of the line break threat coefficient from the local database. If the line break threat coefficient of a certain monitoring point of a certain faulty line in the bottom cable routing space of the computer room is greater than the line break threat coefficient threshold, mark this monitoring point as a broken monitoring point, so as to screen the broken monitoring points of each faulty line in the bottom cable routing space of the computer room, and accordingly divide the early warning ranges of the broken lines of each faulty line in the bottom cable routing space of the computer room, and take line break as the early warning reason; Obtain the allowable electric field strength values and allowable magnetic field strength values corresponding to the line break threat coefficient intervals of each line from the local database, and map the line break threat coefficients of each faulty line at each monitoring point in the cable routing space at the bottom of the computer room to obtain the allowable electric field strength values h of each faulty line at each monitoring point in the cable routing space at the bottom of the computer room xn and the allowable magnetic field strength values k xn . According to the electric field strength values l xn and magnetic field strength values r xn of each faulty line at each monitoring point in the cable routing space at the bottom of the computer room, calculate the electromagnetic field interference hazard coefficients of each faulty line at each monitoring point in the cable routing space at the bottom of the computer room ; According to the method of dividing the early warning ranges of the broken lines of each faulty line in the bottom cable routing space of the computer room, similarly divide the early warning ranges of the electromagnetic lines of each faulty line in the bottom cable routing space of the computer room, and take electromagnetic interference as the early warning reason; Based on the electrostatic plate images above the space of each monitoring point of each faulty line in the bottom cable routing space of the computer room and the thickness of the electrostatic plate corresponding to each pixel point in the image, analyze the threat coefficient of the electrostatic plate failure above each monitoring point of each faulty line in the bottom cable routing space of the computer room. Similarly, divide the early warning ranges of the electrostatic plate lines of each faulty line in the bottom cable routing space of the computer room, and take electrostatic plate failure as the early warning reason; Summarize the early warning ranges of the broken lines, electromagnetic lines, and electrostatic plate lines of each faulty line in the bottom cable routing space of the computer room into the early warning ranges of each line.

8. The multi-dimensional intelligent monitoring system for computer room environment based on edge computing according to claim 7, wherein, The specific analysis method of the threat coefficient of the electrostatic plate failure above each monitoring point of each faulty line in the bottom cable routing space of the computer room is as follows: According to the electrostatic plate images of each faulty line in the bottom cable routing space of the computer room above the space of each monitoring point, extract the gray value D of each pixel point of the electrostatic plate images of each faulty line in the bottom cable routing space of the computer room above the space of each monitoring point xnt , where t represents the number of each pixel point of the electrostatic plate image, t = 1, 2, …, w, and w is a positive integer greater than 2; Obtain the normal gray value A of the static plate image and the normal thickness value B of the static plate from the local database, and based on the static plate thickness G corresponding to each pixel point in the static plate image above the space of each fault line at each monitoring point in the bottom wiring space of the computer room xnt , the threat coefficient of the failure of the static plate above each fault line in the bottom wiring space of the computer room at each monitoring point .

9. The multi-dimensional intelligent monitoring system for computer room environment based on edge computing according to claim 7, characterized in that, The specific processing method of optimizing the early warning ranges of each faulty line in the bottom cable routing space of the computer room is as follows: If the early warning reason for the early warning range of a certain faulty line in the bottom cable routing space of the computer room is line break, extract the maximum line break threat coefficient in this early warning range, obtain the thickness of the winding tape corresponding to each line break threat coefficient interval from the local database, map to obtain the thickness of the winding tape of this early warning range of this faulty line in the bottom cable routing space of the computer room, and wind the tape with the corresponding thickness on the line within this early warning range; If the early warning reason for the early warning range of a certain faulty line in the bottom cable routing space of the computer room is electromagnetic interference, install an anti-static partition on the line within this early warning range; If the early warning reason for the early warning range of a certain faulty line in the bottom cable routing space of the computer room is electrostatic plate failure, obtain the electrostatic coating thickening value corresponding to each electrostatic plate failure threat coefficient interval from the local database, map to obtain the electrostatic coating thickening value of this early warning range, and apply an anti-static coating with the corresponding electrostatic coating thickening value to the electrostatic plate within the electrostatic plate image range above the space of each monitoring point of this early warning range of the line.

10. An intelligent monitoring method for the multi-dimensional intelligent monitoring system of the computer room environment based on edge computing according to any one of claims 1-9, characterized in that, Including: Step 1. Monitoring of the cable routing space in the computer room: Conduct voltage regulation tests on each line in the bottom cable routing space of the computer room at the target monitoring time point, screen each faulty line in the bottom cable routing space of the computer room, and dispatch an intelligent robot to enter the bottom cable routing space to conduct line monitoring on each faulty line; Step 2. Threat analysis of the wiring space in the computer room: Analyze the threat coefficients of line breakage at each monitoring point of each faulty line in the bottom wiring space of the computer room, and evaluate the warning range and warning reasons of each faulty line in the bottom wiring space of the computer room. Step 3. Warning handling for the wiring space in the computer room: Optimize the warning range of each faulty line in the bottom wiring space of the computer room, and determine whether the optimization of each faulty line in the bottom wiring space of the computer room is successful. If it is not successful, screen the deactivated lines in the bottom wiring space of the computer room, prohibit employees from using the deactivated lines in the bottom wiring space of the computer room, and send the relevant data to the person in charge of the computer room.

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