Method and system for preventing electromagnetic interference of machine room equipment

Abstract

The application discloses a kind of machine room equipment anti-electromagnetic interference method and system, the method is formed by deploying multiple electromagnetic sensor nodes in machine room inside three-dimensional monitoring network, real-time collection electromagnetic interference data and carry out time synchronization;When detecting electromagnetic interference event, according to the arrival time difference of the same interference signal detected by multiple sensor nodes, the three-dimensional space position coordinates of interference source are calculated by time difference positioning algorithm;The spatial distance between the interference source position and each equipment in the machine room is calculated, and the equipment with the smallest distance is initially determined as the interference source equipment;The preliminary determination result is comprehensively evaluated by distance confidence, positioning confidence and signal confidence, and when the confidence meets the preset condition, the interference source equipment is confirmed and labeled and warned;The application can monitor the electromagnetic environment of machine room in real time, quickly and accurately locate the electromagnetic interference source, and significantly improve the discovery efficiency and disposal speed of interference problem.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of electromagnetic interference detection and protection, and particularly relates to a method and system for preventing electromagnetic interference of equipment in a computer room. BACKGROUND

[0002] Data centers and computer rooms are the core infrastructure for information processing, and a large number of servers, storage devices, network devices, power systems and other electronic devices are deployed inside the computer room. These devices generate electromagnetic radiation of different frequencies and intensities during operation. When multiple devices are running at high density in a limited space, electromagnetic interference between devices is likely to occur, leading to data transmission errors, system instability and even device damage, affecting the normal operation of the computer room and data security.

[0003] The primary task of preventing electromagnetic interference is to quickly find the source of interference. Existing electromagnetic interference detection methods mainly rely on manual inspection and single-point measurement. Technical personnel use handheld electromagnetic field testers to conduct mobile measurement in the computer room and determine whether there is electromagnetic interference problem according to the measurement results. This method has many limitations: on the one hand, manual inspection is inefficient and cannot achieve real-time monitoring, often discovering electromagnetic interference problems only after the device has failed; on the other hand, single-point measurement cannot accurately locate the position of the interference source, especially in a densely packed computer room environment, it is difficult to quickly determine the specific interference source device; in addition, the traditional method lacks systematic data analysis and intelligent judgment ability, and relies on the experience of technical personnel, which is prone to misjudgment or omission.

[0004] Therefore, there is an urgent need for a technical solution that can monitor the electromagnetic environment of the computer room in real time, quickly and accurately locate the interference source and provide intelligent early warning, to improve the operational stability and reliability of the computer room equipment. SUMMARY

[0005] The purpose of the present application is to provide a method that can monitor the electromagnetic environment of the computer room in real time and quickly and accurately locate the interference source, in order to improve the operational stability of the computer room equipment.

[0006] To achieve the above-mentioned purpose, in a first aspect, the present application provides a method for preventing electromagnetic interference of equipment in a computer room, comprising the following steps:

[0007] Step S1, deploying multiple electromagnetic sensor nodes inside the computer room, so that the multiple electromagnetic sensor nodes form a monitoring network in three-dimensional space, and the effective monitoring range of the monitoring network covers all devices in the computer room.

[0008] Step S2, collecting electromagnetic interference data in real time by each electromagnetic sensor node and performing time synchronization, the electromagnetic interference data including electromagnetic field intensity value, frequency characteristics and time stamp.

[0009] Step S3: When an electromagnetic interference event is detected, the position coordinates of the electromagnetic interference source in three-dimensional space are calculated by using a time difference positioning algorithm based on the arrival time difference of the same electromagnetic interference signal detected by multiple electromagnetic sensor nodes.

[0010] Step S4: Calculate the spatial distance between the location coordinates of the electromagnetic interference source and each device in the computer room, and preliminarily determine the device with the smallest spatial distance as the interference source device.

[0011] Step S5: Analyze the confidence level of the preliminary judgment results. When the confidence level meets the preset conditions, confirm that the device is an electromagnetic interference source device and mark and issue a warning.

[0012] Furthermore, when deploying multiple electromagnetic sensor nodes within the computer room, the horizontal spacing between the electromagnetic sensor nodes... The distance should be 2 to 5 meters, with at least two layers of sensor nodes installed vertically, and the vertical distance between the upper and lower layers should be [not specified]. It ranges from 1.5 to 3 meters.

[0013] Any three non-collinear electromagnetic sensor nodes can form an effective triangulation reference, and electromagnetic interference sources at any location in the computer room can be detected simultaneously by at least four sensor nodes.

[0014] Furthermore, each electromagnetic sensor node uses a sampling frequency... The electromagnetic field strength is continuously sampled, and the sampling frequency is... Not lower than 1000Hz; in the collected electromagnetic interference data, the electromagnetic field strength value The unit is V / m; the spectral data is obtained through Fast Fourier Transform. , Frequency range from 10kHz to 1GHz; detection timestamp The accuracy is no less than 1 microsecond.

[0015] Furthermore, the electromagnetic interference data is synchronized in time, specifically by using the Network Time Protocol (NTP) to calibrate the time of each electromagnetic sensor node, thus reducing the time deviation between nodes. Less than 1 microsecond.

[0016] When a certain sensor node detects the electromagnetic field strength value Exceeding the dynamic threshold When an electromagnetic interference event is detected, the dynamic threshold is determined to be... The calculation formula is: in, The baseline electromagnetic field strength is the mean value. The baseline electromagnetic field strength standard deviation, This is the threshold coefficient, with a value ranging from 3 to 6.

[0017] Further, according to the time difference of arrival of the same electromagnetic interference signal detected by multiple electromagnetic sensor nodes, the position coordinates of the electromagnetic interference source are calculated by a time difference positioning algorithm , specifically comprising:

[0018] Select at least four electromagnetic sensor nodes that detect the same electromagnetic interference signal, and take the node with the maximum electromagnetic field intensity value as the reference node, and the remaining nodes as the positioning nodes.

[0019] Calculate the time difference of arrival of each positioning node relative to the reference node , the calculation formula is: ; wherein, is the time when the first positioning node detects the interference signal, is the time when the reference node detects the interference signal, , is the total number of nodes participating in positioning; according to the time difference , a time difference positioning equation set is constructed, and the first equation of the equation set is:

[0020] ; wherein, is the known coordinates of the first positioning node, is the known coordinates of the reference node, is the electromagnetic wave propagation speed, which is 3x10 8 m / s; the time difference positioning equation set is solved by using a weighted least squares method to obtain the position coordinates of the electromagnetic interference source .

[0021] Further, the positioning accuracy of the time difference positioning algorithm is evaluated, the positioning error is evaluated by a geometric dilution of precision GDOP, and the calculation formula of the geometric dilution of precision GDOP is: ; wherein, is an observation matrix, and the matrix element is the partial derivative of the distance function with respect to the coordinate variable: ; wherein, is the first time difference positioning equation, is the first coordinate variable, and trace represents the trace operation of the matrix.

[0022] When , it is determined that the positioning accuracy is insufficient, the number of sensor nodes participating in positioning is increased and recalculated;

[0023] When When the positioning result is valid, the positioning error , is the time measurement standard deviation.

[0024] Further, the electromagnetic interference source position coordinates and the spatial distance between the center position coordinates of each device in the machine room are calculated. The corresponding device is preliminarily determined as the interference source device, when the sum of the positioning error and the device size is less than The confidence evaluation is performed on the preliminary determination result.

[0025] Further, the confidence evaluation is performed on the preliminary determination result, and the confidence is calculated by weighting the distance confidence , the positioning confidence and the signal confidence . ; ; The reference distance is 2 meters.

[0026] The reference GDOP value is 5; ; The peak value of the electromagnetic field intensity detected at the interference source device in the preliminary determination is Epeak, and the reference electromagnetic field intensity is Eref, which is 10 V / m.

[0027] Further, when the confidence is greater than the confidence threshold , the device is confirmed as the electromagnetic interference source device, and a warning report is marked and generated, which includes the interference source device identification, position coordinates, electromagnetic field intensity value and detection timestamp; the confidence threshold has a value range of 0.6 to 0.8.

[0028] In a second aspect, based on the same aspect, the present application provides a machine room device anti-electromagnetic interference system for realizing the method of the first aspect, which comprises a sensor network module, a time synchronization module, a data acquisition module, an interference event detection module and an interference event calculation and output module.

[0029] Further, the sensor network module comprises a plurality of electromagnetic sensor nodes deployed in the machine room, each electromagnetic sensor node being used for real-time acquisition of electromagnetic field intensity value, frequency spectrum data and detection timestamp.

[0030] Further, the time synchronization module is connected with the sensor network module, and is used for performing time calibration on each electromagnetic sensor node through a network time protocol (NTP), so as to ensure that the time deviation between the nodes is less than 1 microsecond.

[0031] Further, the data acquisition module is connected with the sensor network module, and is used for receiving electromagnetic interference data collected by each electromagnetic sensor node, and performing pretreatment and spectrum analysis.

[0032] Further, the interference event detection module is connected with the data acquisition module, and is used for judging whether the electromagnetic field intensity value exceeds a threshold value, and determining that an electromagnetic interference event occurs when the threshold value is exceeded.

[0033] Further, the interference event calculation output module is connected with the data acquisition module and the interference event detection module respectively, and is used for calculating the position coordinates of an electromagnetic interference source according to the time difference of arrival of the same electromagnetic interference signal detected by a plurality of electromagnetic sensor nodes, calculating the spatial distance between the position coordinates of the electromagnetic interference source and the central position coordinates of each device in the machine room, and performing confidence evaluation on the preliminary determination result when the minimum spatial distance is less than the sum of the positioning error and the device size, and confirming the device as the electromagnetic interference source device and performing labeling and early warning when the confidence meets a preset condition.

[0034] Compared with the prior art, the present application has the following beneficial effects:

[0035] The present application can realize all-around real-time monitoring of the electromagnetic environment of the machine room by deploying a plurality of electromagnetic sensor nodes in the machine room to construct a three-dimensional monitoring network, and can quickly and accurately calculate the three-dimensional spatial coordinates of the electromagnetic interference source by using high-precision time synchronization technology combined with the time difference positioning algorithm, and automatically generate a detailed early warning report containing the identification of the interference source device, the position coordinates, the electromagnetic field intensity value and the spectrum characteristics, thereby providing accurate decision basis for the operation and maintenance personnel to quickly dispose the problem, and significantly improving the operation stability and reliability of the machine room device. BRIEF DESCRIPTION OF DRAWINGS

[0036] Figure 1 A flow chart of a machine room device anti-electromagnetic interference method of the present application;

[0037] Figure 2 A schematic diagram of a machine room device anti-electromagnetic interference system of the present application. DETAILED DESCRIPTION

[0038] In order to make the purposes, technical solutions and advantages of the present application clearer, the technical solutions in the present application are described clearly and completely below. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the protection scope of the present application.

[0039] Embodiment 1

[0040] The embodiment provides a method for preventing electromagnetic interference of equipment in a machine room. The method is suitable for scenarios such as data centers, communication machine rooms, server machine rooms and the like that need to monitor electromagnetic environments. Through the method, the electromagnetic environment in the machine room can be monitored in all directions in real time. When abnormal electromagnetic interference is generated by a piece of equipment, the interference source can be located and a warning can be given within milliseconds, helping operation and maintenance personnel to quickly deal with problems and avoiding the influence of electromagnetic interference on other equipment.

[0041] As shown in Figure 1 , a flowchart of a method for preventing electromagnetic interference of equipment in a machine room is provided. The method comprises the following steps:

[0042] Step S1, a plurality of electromagnetic sensor nodes are deployed in the machine room, so that the plurality of electromagnetic sensor nodes form a monitoring network in a three-dimensional space, and an effective monitoring range of the monitoring network covers all equipment in the machine room.

[0043] When the plurality of electromagnetic sensor nodes are deployed in the machine room, the spacing of the electromagnetic sensor nodes in the horizontal direction is 2 to 5 meters, and at least two layers of sensor nodes are arranged in the vertical direction, and the vertical distance between the upper and lower layers is 1.5 to 3 meters. Step S2, real-time electromagnetic interference data is collected by each electromagnetic sensor node and time synchronization is performed, wherein the electromagnetic interference data comprises an electromagnetic field intensity value, a frequency characteristic and a time stamp.

[0044] Each electromagnetic sensor node continuously samples the electromagnetic field intensity at a sampling frequency, and the sampling frequency is not less than 1000 Hz.

[0045] The electromagnetic interference data collected by each electromagnetic sensor node comprises an electromagnetic field intensity value, a frequency characteristic and a time stamp.

[0046] The electromagnetic field intensity value in the electromagnetic interference data collected by each electromagnetic sensor node is not less than 1000 Hz, and the frequency characteristic is obtained by fast Fourier transform. ​​​​​The frequency range is 10 kHz to 1 GHz; the detection timestamp , and the precision is not less than 1 microsecond.

[0047] The electromagnetic interference data is time-synchronized, specifically, the network time protocol (NTP) is used to calibrate the time of each electromagnetic sensor node, so that the time deviation between nodes is less than 1 microsecond.

[0048] Step S3, when detecting an electromagnetic interference event, according to the arrival time difference of the same electromagnetic interference signal detected by multiple electromagnetic sensor nodes, the position coordinates of the electromagnetic interference source in three-dimensional space are calculated by a time difference positioning algorithm.

[0049] When the electromagnetic field intensity value detected by a sensor node exceeds a dynamic threshold , it is determined that an electromagnetic interference event is detected, and the calculation formula of the dynamic threshold is as follows: wherein, is the mean value of the baseline electromagnetic field intensity, is the standard deviation of the baseline electromagnetic field intensity, is a threshold coefficient, and the value range is 3 to 6.

[0050] According to the arrival time difference of the same electromagnetic interference signal detected by multiple electromagnetic sensor nodes, the position coordinates of the electromagnetic interference source are calculated by a time difference positioning algorithm

[0051] Select at least four electromagnetic sensor nodes that detect the same electromagnetic interference signal, and select the node with the largest electromagnetic field intensity value as the reference node, and the remaining nodes as the positioning nodes.

[0052] Calculate the arrival time difference of each positioning node relative to the reference node , and the calculation formula is as follows: ; wherein, is the time when the th positioning node detects the interference signal, is the time when the reference node detects the interference signal, , is the total number of nodes participating in positioning; according to the time difference , a time difference positioning equation set is constructed, and the th equation of the equation set is as follows:

[0053] ; wherein, is the known coordinates of the th positioning node, is the known coordinates of the reference node, is the electromagnetic wave propagation speed, taking a value of 3 x 10 8 m / s; the time difference positioning equation set is solved by using a weighted least square method to obtain the position coordinates of the electromagnetic interference source .

[0054] The positioning accuracy of the time difference positioning algorithm is evaluated, and the positioning error is evaluated by a geometric dilution of precision GDOP, and the calculation formula of the geometric dilution of precision GDOP is: ; wherein, is an observation matrix, and the matrix element of the observation matrix is is a partial derivative of a distance function to a coordinate variable: ; wherein, is the th time difference positioning equation, is the th coordinate variable, and trace represents a trace operation of a matrix. When the positioning accuracy is insufficient, the number of sensor nodes participating in positioning is increased and recalculated.

[0055] When the positioning accuracy is sufficient, the positioning result is valid, and the positioning error ,

[0056] is a time measurement standard deviation. Step S4, the spatial distance between the electromagnetic interference source position coordinates and each device in the machine room is calculated, and the device with the smallest spatial distance is preliminarily determined as the interference source device. The spatial distance between the electromagnetic interference source position coordinates

[0057] and the central position coordinates of each device in the machine room is calculated, and the device corresponding to the smallest spatial distance is preliminarily determined as the interference source device.

[0058] When the sum of the positioning error and the device size is less than the sum of the positioning error and the device size, that is, The confidence of the preliminary determination result is evaluated.

[0059] Step S5, the confidence of the preliminary determination result is evaluated, and when the confidence meets a preset condition, the device is confirmed as the electromagnetic interference source device and is labeled and warned.

[0060] The confidence of the preliminary determination result is evaluated, and the confidence is calculated by weighting the distance confidence , the positioning confidence , and the signal confidence .​​​​ ; ; The reference distance is 2 meters.

[0061] ; Gref is a reference GDOP value, and the value is 5; ; Epeak is the peak value of the electromagnetic field intensity detected at the interference source device in the preliminary determination, and Eref is the reference electromagnetic field intensity, which is 10 V / m.

[0062] When the confidence level is greater than the confidence level threshold , the device is confirmed as an electromagnetic interference source device, and a warning report is marked and generated, the warning report including the interference source device identification, position coordinates, electromagnetic field intensity value and detection timestamp; the value range of the confidence level threshold is 0.6 to 0.8.

[0063] In the actual application of a large data center, the machine room area is 15m x 10m x 3.5m, and 45 servers, 8 network devices and 4 storage devices are deployed inside. According to the method of the application, 12 electromagnetic sensor nodes are deployed inside the machine room, with a horizontal direction interval of 3 meters, and 2 layers of sensors are set in the vertical direction, with an upper and lower layer interval of 2 meters. During the system operation, an abnormal electromagnetic interference event was detected at 14:35:28.446 seconds on October 24, 2024.

[0064] The specific detection data is as follows:

[0065] Sensor node N1 (coordinates 3, 2, 2) detected an electromagnetic field intensity peak value of 28.5 V / m at 14:35:28.446350 seconds; sensor node N2 (coordinates 6, 2, 2) detected a peak value of 25.3 V / m at 14:35:28.446364 seconds; sensor node N3 (coordinates 3, 5, 2) detected a peak value of 23.1 V / m at 14:35:28.446371 seconds; sensor node N4 (coordinates 6, 5, 2) detected a peak value of 20.8 V / m at 14:35:28.446383 seconds. The system selects N1 as the reference node, and calculates the arrival time difference of each positioning node relative to the reference node: Δt2=14ns, Δt3=21ns, Δt4=33ns.

[0066] Through the time difference positioning algorithm, the system calculates the position coordinates of the electromagnetic interference source as (4.2, 3.1, 1.8), the geometric dilution of precision GDOP = 3.2, and the positioning error is about 0.96 meters. The equipment layout information in the machine room shows that the center position coordinates of the server cabinet S15 are (4.5, 3.0, 1.5), and the size of the cabinet is 0.6 meters x 0.8 meters x 2.0 meters. The system calculates the spatial distance d between the interference source position and S15 as 0.42 meters, which is less than the sum of the positioning error and the device size (0.96 + 1.0 = 1.96 meters), and it is preliminarily determined that S15 is the interference source equipment.

[0067] The system performs confidence evaluation, the confidence C ≈ 0.89, the system confirms that the server cabinet S15 is the electromagnetic interference source equipment, automatically generates a warning report and notifies the operation and maintenance personnel.

[0068] The operation and maintenance personnel immediately check the cabinet and find that the power module of one of the servers has a fault, which produces abnormal electromagnetic radiation. After replacing the faulty power supply, the electromagnetic interference problem is solved; the entire process from detection to positioning to confirmation takes no more than 5 minutes, which is a great improvement in efficiency compared to the traditional manual troubleshooting method (which usually takes more than 30 minutes), effectively avoiding the influence of electromagnetic interference on other equipment in the machine room.

[0069] Embodiment 2

[0070] As shown in Figure 2 , it is a schematic diagram of a machine room equipment anti-electromagnetic interference system according to the present application, which comprises a sensor network module, a time synchronization module, a data acquisition module, an interference event detection module and an interference event calculation and output module.

[0071] The sensor network module comprises a plurality of electromagnetic sensor nodes deployed in the machine room, each electromagnetic sensor node being used to collect electromagnetic field intensity values, frequency spectrum data and detection time stamps in real time.

[0072] The time synchronization module is connected with the sensor network module and is used to calibrate the time of each electromagnetic sensor node through the network time protocol NTP, so as to ensure that the time deviation between each node is less than 1 microsecond.

[0073] The data acquisition module is connected with the sensor network module and is used to receive the electromagnetic interference data collected by each electromagnetic sensor node and perform preprocessing and frequency spectrum analysis.

[0074] The interference event detection module is connected with the data acquisition module and is used to determine whether the electromagnetic field intensity value exceeds the threshold value, and when it exceeds the threshold value, it is determined as an electromagnetic interference event.

[0075] The interference event calculation output module is connected with the data acquisition module and the interference event detection module respectively, and is configured to calculate the position coordinates of the electromagnetic interference source according to the time difference of arrival of the same electromagnetic interference signal detected by the plurality of electromagnetic sensor nodes; calculate the spatial distance between the position coordinates of the electromagnetic interference source and the central position coordinates of each device in the machine room; when the minimum spatial distance is less than the sum of the positioning error and the device size, perform confidence evaluation on the preliminary determination result; when the confidence meets the preset condition, confirm that the device is the electromagnetic interference source device and perform labeling and early warning.

[0076] The above detailed description further explains the purpose, technical solutions and beneficial effects of the present application. It should be understood that the above description is only a specific embodiment of the present application and is not intended to limit the protection scope of the present application. Any modification, equivalent replacement, improvement, etc. within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for preventing electromagnetic interference in computer room equipment, characterized in that, The method includes the following steps: Step S1: Deploy multiple electromagnetic sensor nodes in the computer room to form a monitoring network in three-dimensional space. The effective monitoring range of the monitoring network covers all equipment in the computer room. Step S2: Collect electromagnetic interference data in real time through each electromagnetic sensor node and synchronize the data in time. The electromagnetic interference data includes electromagnetic field strength value, frequency characteristics and timestamp. Step S3: When an electromagnetic interference event is detected, the location coordinates of the electromagnetic interference source in three-dimensional space are calculated by using a time difference positioning algorithm based on the arrival time difference of the same electromagnetic interference signal detected by multiple electromagnetic sensor nodes. The positioning accuracy of the time difference positioning algorithm is evaluated by assessing the positioning error using the geometrical factor of precision (GDOP). The formula for calculating the geometrical factor of precision (GDOP) is as follows: ;in, The observation matrix, its matrix elements The partial derivative of the distance function with respect to the coordinate variables: ;in, For the first A time difference positioning equation For the first There are several coordinate variables, and trace represents the trace operation of the matrix; when If the positioning accuracy is insufficient, the number of sensor nodes involved in the positioning is increased and the calculation is recalculated. when When the positioning result is valid, its positioning error is... , The standard deviation is measured over time. Based on the time difference of arrival of the same electromagnetic interference signal detected by multiple electromagnetic sensor nodes, the location coordinates of the electromagnetic interference source are calculated using a time difference localization algorithm. Specifically, it includes: Select at least four electromagnetic sensor nodes that detect the same electromagnetic interference signal, take the node with the largest electromagnetic field strength value as the reference node, and the remaining nodes as the positioning nodes. Calculate the time difference of arrival of each positioning node relative to the reference node. The calculation formula is: ;in, For the first The moment when a positioning node detects an interference signal. The time when the reference node detects the interference signal. , The total number of nodes participating in the positioning; based on the time difference. Construct a system of time difference positioning equations, the first equation of which is... The equations are: ;in, For the first The known coordinates of each positioning node, Given the known coordinates of the reference node, The speed of electromagnetic wave propagation is 3 × 10⁻⁶. 8 m / s; the weighted least squares method is used to solve the time difference positioning equations to obtain the location coordinates of the electromagnetic interference source. ; Step S4: Calculate the spatial distance between the location coordinates of the electromagnetic interference source and each device in the computer room, and preliminarily determine the device with the smallest spatial distance as the interference source device; Calculate the location coordinates of the electromagnetic interference source. Spatial distance between the center coordinates of each device in the computer room and the minimum spatial distance The corresponding equipment has been preliminarily identified as a source of interference. Less than positioning error With equipment size When the sum of the two is equal, that is A confidence assessment is then performed on the preliminary judgment results. Step S5: Calculate the confidence level of the preliminary judgment result. When the confidence level meets the preset conditions, confirm that the device is an electromagnetic interference source device and mark and warn it. The confidence level By distance confidence Location reliability and signal confidence Weighted calculation: ; ; For reference distance, the value is taken as 2 meters; ; The reference GDOP value is set to 5; ; The peak value of the electromagnetic field intensity detected at the initially identified source of interference. The reference electromagnetic field strength is set to 10 V / m.

2. The method for preventing electromagnetic interference for computer room equipment according to claim 1, characterized in that, When deploying multiple electromagnetic sensor nodes in a computer room, the horizontal spacing between the electromagnetic sensor nodes is important. The distance should be 2 to 5 meters, with at least two layers of sensor nodes installed vertically, and the vertical distance between the upper and lower layers should be [not specified]. It is 1.5 to 3 meters long; Any three non-collinear electromagnetic sensor nodes can form an effective triangulation reference, and electromagnetic interference sources at any location in the computer room can be detected simultaneously by at least four sensor nodes.

3. The method for preventing electromagnetic interference for computer room equipment according to claim 2, characterized in that, Each electromagnetic sensor node at a sampling frequency The electromagnetic field strength is continuously sampled, and the sampling frequency is... Not lower than 1000Hz; in the collected electromagnetic interference data, the electromagnetic field strength value The unit is V / m; the spectral data is obtained through Fast Fourier Transform. , The frequency range is from 10 kHz to 1 GHz; Detect timestamp The accuracy is no less than 1 microsecond.

4. The method for preventing electromagnetic interference for computer room equipment according to claim 3, characterized in that, The electromagnetic interference data is synchronized in time, specifically by using the Network Time Protocol (NTP) to calibrate the time of each electromagnetic sensor node, thus reducing the time deviation between nodes. Less than 1 microsecond; When a sensor node detects the electromagnetic field strength value Exceeding the dynamic threshold When an electromagnetic interference event is detected, the dynamic threshold is determined to be... The calculation formula is: in, The baseline electromagnetic field strength is the mean value. The baseline electromagnetic field strength standard deviation, This is the threshold coefficient, with a value ranging from 3 to 6.

5. The electromagnetic interference protection method for computer room equipment according to claim 4, when the confidence level... Greater than the confidence threshold At that time, confirm the device For electromagnetic interference source devices, label and generate early warning reports. The early warning reports include the interference source device identifier, location coordinates, electromagnetic field strength value, and detection timestamp.

6. An electromagnetic interference protection system for computer room equipment, used to implement the method according to any one of claims 1 to 5, characterized in that, The system includes: a sensor network module, a time synchronization module, a data acquisition module, an interference event detection module, and an interference event calculation and output module; The sensor network module includes multiple electromagnetic sensor nodes deployed in the computer room. Each electromagnetic sensor node is used to collect electromagnetic field strength values, spectrum data and detection timestamps in real time. The time synchronization module is connected to the sensor network module and is used to perform time calibration on each electromagnetic sensor node through the Network Time Protocol (NTP) to ensure that the time deviation between each node is less than 1 microsecond. The data acquisition module is connected to the sensor network module and is used to receive electromagnetic interference data collected by each electromagnetic sensor node, and to perform preprocessing and spectrum analysis. The interference event detection module is connected to the data acquisition module and is used to determine whether the electromagnetic field strength value exceeds the threshold. When it exceeds the threshold, it is determined to be an electromagnetic interference event. The interference event calculation and output module is connected to the data acquisition module and the interference event detection module, respectively. It is used to calculate the location coordinates of the electromagnetic interference source based on the arrival time difference of the same electromagnetic interference signal detected by multiple electromagnetic sensor nodes; calculate the spatial distance between the location coordinates of the electromagnetic interference source and the center location coordinates of each device in the computer room; when the minimum spatial distance is less than the sum of the positioning error and the device size, the confidence level of the preliminary judgment result is evaluated; when the confidence level meets the preset conditions, the device is confirmed as an electromagnetic interference source device and is marked and warned.

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