A detection method for electromagnetic radiation in green computer room

Abstract

The present invention discloses a method for detecting electromagnetic radiation of a green computer room, relates to the technical field of electromagnetic radiation, and is intended to solve the problem of inaccurate electromagnetic radiation data collection of computer room equipment. The present invention uses standard electromagnetic radiation data and measured data for curve conversion and overlap comparison, and can accurately identify the difference between the two, thereby accurately locating abnormal data. The method of curve conversion and overlap comparison makes the data difference more intuitive and visible, easy to understand and analyze, and accurate early warning intensity judgment helps to reduce false alarms and missed alarms, improve the credibility of the early warning system, and take different ways of alarm according to different early warning intensities, so that the response measures are more targeted, and select appropriate electromagnetic radiation detection equipment according to the radiation characteristics of the computer room equipment. The targeted detection method can more accurately evaluate the electromagnetic radiation level of the equipment and improve the accuracy and reliability of the detection.

Description

Technical Field

[0001] The invention relates to the technical field of electromagnetic radiation, and in particular to a method for detecting electromagnetic radiation of a green computer room. Background Art

[0002] Electromagnetic radiation refers to the phenomenon that electromagnetic energy is emitted into space in the form of electromagnetic waves or light quanta.

[0003] The patent application with publication number CN108287270A discloses an electromagnetic radiation detection system, which can automatically collect environmental electromagnetic radiation parameters and filter out interference signals through electromagnetic sensors, and display electromagnetic radiation parameters through a display module. When the environmental electromagnetic radiation exceeds the standard, an alarm signal can be issued, and the alarm device can be stopped by pressing a button to allow the system to enter the next detection; the background server receives the data uploaded by the MCU main control module through a wireless module, performs spectrum analysis, displays relevant spectrum lines, and intuitively displays the spectrum distribution of the electromagnetic field. Although the above solution solves the problem of obtaining electromagnetic radiation data, there are still the following problems in actual operation:

[0004] 1. Failure to conduct targeted testing on each device results in the inability to conduct electromagnetic radiation testing.

[0005] 2. Failure to conduct targeted electromagnetic radiation detection based on the equipment characteristics of the computer room equipment results in inaccurate detection data of the equipment in the computer room.

[0006] 3. Failure to accurately analyze the subsequent electromagnetic radiation data, resulting in the inability to obtain abnormal data in a timely manner and the inability to provide targeted warnings based on the degree of abnormality Summary of the invention

[0007] The purpose of the present invention is to provide a method for detecting electromagnetic radiation of a green computer room. By using standard electromagnetic radiation data and measured data for curve conversion and overlapping comparison, the difference between the two can be accurately identified, thereby accurately locating abnormal data. The curve conversion and overlapping comparison methods make the data difference more intuitive and visible, easy to understand and analyze. Accurate warning intensity judgment helps to reduce false alarms and missed alarms, and improve the credibility of the warning system. Different types of alarms are adopted according to different warning intensities, so that the response measures are more targeted. Suitable electromagnetic radiation detection equipment is selected according to the radiation characteristics of the computer room equipment. The targeted detection method can more accurately evaluate the electromagnetic radiation level of the equipment, improve the accuracy and reliability of the detection, and solve the problems in the prior art.

[0008] To achieve the above object, the present invention provides the following technical solutions:

[0009] A method for detecting electromagnetic radiation in a green computer room comprises the following steps:

[0010] S1: Equipment confirmation in the computer room: Obtain the equipment that emits electromagnetic radiation in the green computer room and confirm the placement of each equipment in the computer room;

[0011] S2: Placement of electromagnetic radiation detection equipment: Place the electromagnetic radiation detection equipment according to the placement of the equipment in the computer room, and perform functional testing on each equipment in the computer room;

[0012] S3: Equipment electromagnetic radiation detection: The electromagnetic radiation detection equipment detects the electromagnetic radiation emitted by the equipment in the computer room respectively, and marks the detected electromagnetic radiation as electromagnetic radiation data to be processed;

[0013] S4: Electromagnetic radiation detection data analysis: Make safety judgments on the electromagnetic radiation data to be processed and the corresponding equipment in the computer room, extract abnormal data based on the judgment results, and mark the retrieved abnormal data as abnormal electromagnetic radiation data;

[0014] S5: Abnormal data warning: The warning intensity is judged according to the abnormal degree of abnormal electromagnetic radiation data, and different abnormal alarms are issued according to the warning intensity;

[0015] Perform functional tests on each equipment in the computer room in S2, including:

[0016] Before conducting electromagnetic radiation testing on equipment in the computer room, conduct functional testing on each device;

[0017] Computer equipment includes servers, workstations, routers, and switches. Each device is tested for hardware, power-on self-test, performance, operating system, and interface.

[0018] Display devices include LCD and LED display screens, and each device is tested for display, resolution, refresh rate and interface;

[0019] Printing equipment includes printers and fax machines. Each device is tested for printing, consumables, functions and interfaces.

[0020] The copying equipment is a photocopier, and the copying equipment is tested for copying, paper and functions;

[0021] Wireless communication equipment includes wireless phones and wireless networks, and each device is tested for connection, signal strength, data transmission and configuration;

[0022] High-frequency equipment includes electron accelerators and ultrasonic devices, and each device is individually tested for performance and interface;

[0023] Each device is tested for electromagnetic radiation after passing the test;

[0024] According to the signal strength and data transmission operation parameters of each device after wireless connection, the wireless connection quality of each device is tested, including:

[0025] After each device is wirelessly connected, the signal strength value of each device after the wireless connection is monitored in real time;

[0026] Compare the signal strength value of each device after wireless connection with its corresponding signal strength threshold;

[0027] When the ratio of the time period during which the signal strength value corresponding to each device is lower than the corresponding signal strength threshold exceeds the preset time ratio threshold, the device whose signal strength value is lower than the corresponding signal strength threshold exceeds the preset time ratio threshold is marked as a target monitoring device;

[0028] Extracting the signal strength value of the target monitoring device;

[0029] The first wireless communication evaluation parameter is obtained by using the signal strength value of the target monitoring device; wherein the first wireless communication evaluation parameter is obtained by the following formula:

[0030] ;

[0031] Among them, J 01 represents the first wireless communication evaluation parameter; p represents the time ratio of the signal strength value corresponding to the device being lower than the corresponding signal strength threshold; k represents the number of signal strengths exceeding the signal strength threshold generated during the operation of the device; B j Indicates the jth signal strength value exceeding the signal strength threshold; t j Indicates the duration of the jth signal strength value exceeding the signal strength threshold; B e represents the signal strength threshold; t represents the total duration of the current device operation; n represents the number of signal strengths below the signal strength threshold generated during the device operation; B i represents the signal strength value of the ith signal that is lower than the signal strength threshold; t i Indicates the duration of the i-th signal strength value below the signal strength threshold; m indicates the number of unit times contained in the total operation time of the current device, and the unit time is 1s; B y represents the signal strength value corresponding to the yth unit time; j represents the serial number corresponding to the number of acquisitions of the duration of the signal strength value exceeding the signal strength threshold; i represents the serial number of acquisitions corresponding to the signal strength value below the signal strength threshold;

[0032] Extracting data transmission operation parameters of the target monitoring device, and using the data transmission operation parameters to obtain a second wireless communication evaluation parameter;

[0033] The step of extracting the data transmission operation parameters of the target monitoring device and obtaining the second wireless communication evaluation parameter using the data transmission operation parameters includes:

[0034] After the target monitoring device is determined and acquired, the historical operation record of the target monitoring device is extracted;

[0035] Extracting data transmission operation parameters of the target monitoring device from the historical operation record, wherein the data transmission operation parameters include packet loss rate, retransmission rate and bit error rate;

[0036] The second wireless communication evaluation parameter is obtained by using the packet loss rate, retransmission rate and bit error rate; wherein the second wireless communication evaluation parameter is obtained by the following formula:

[0037] ;

[0038] Among them, J 02 represents the second wireless communication evaluation parameter; m represents the number of unit times contained in the total duration of the current device operation, and the unit time is 1s; B e Indicates the signal strength threshold; B y Indicates the signal strength value corresponding to the y-th unit time; D y , C y and W y They represent the packet loss rate, retransmission rate and bit error rate corresponding to the y-th unit time respectively; λ represents the adjustment coefficient, and the adjustment coefficient is obtained by the following formula:

[0039] ;

[0040] Among them, λ represents the adjustment coefficient; x represents the number of packet losses during data transmission; B xi Indicates the signal strength value corresponding to the i-th data transmission packet loss; B e Indicates the signal strength threshold; C y and W y They represent the retransmission rate and bit error rate corresponding to the yth unit time respectively; d represents the ratio of the number of retransmissions of the packet loss data corresponding to the device to the total number of retransmissions; w represents the ratio of the number of retransmissions of the data with bit transmission errors to the total number of retransmissions.

[0041] The first wireless communication evaluation parameter and the second wireless communication evaluation parameter are used to obtain a comprehensive evaluation parameter; wherein the comprehensive evaluation parameter is obtained by the following formula:

[0042] ;

[0043] Among them, J represents the comprehensive evaluation parameter; J 01 represents the first wireless communication evaluation parameter; J 02 represents a second wireless communication evaluation parameter;

[0044] When the comprehensive evaluation parameter exceeds a preset comprehensive parameter threshold, it is determined that the wireless communication quality of the target monitoring device is abnormal, and an abnormal alarm is issued.

[0045] Preferably, the devices emitting electromagnetic radiation in the green computer room are acquired in S1, and the placement of the devices in each computer room is confirmed, including:

[0046] Acquire the equipment in the computer room, where the equipment includes computer equipment, display equipment, printing equipment, copying equipment, wireless communication equipment and high-frequency equipment;

[0047] Construct the equipment coordinate system for each equipment in the computer room;

[0048] Among them, a plan view is generated for the location of each equipment in the computer room;

[0049] Mark the coordinates of each equipment location in the generated floor plan;

[0050] After the coordinate marking is completed, the equipment coordinate system of the computer room equipment in the computer room is obtained.

[0051] Preferably, the electromagnetic radiation detection equipment is placed separately according to the placement of the equipment in the computer room in S2, including:

[0052] Confirm the electromagnetic radiation data of each equipment in the computer room, wherein the electromagnetic radiation data of the equipment is retrieved from the database, and the electromagnetic radiation data includes the frequency range, maximum radiation intensity and radiation characteristics of the radiation;

[0053] Place electromagnetic radiation detection equipment according to the electromagnetic radiation data of each equipment room;

[0054] Among them, the corresponding electromagnetic radiation detection equipment is selected according to the radiation characteristics of the equipment in the computer room. The radiation characteristics of the equipment in the computer room include low-frequency radiation, radio frequency radiation, high-frequency radiation, and microwave radiation.

[0055] Preferably, the electromagnetic radiation detection device in S3 detects the electromagnetic radiation emitted by the equipment in the computer room respectively, including:

[0056] Turn on the electromagnetic radiation detection equipment according to the radiation characteristics of the equipment in the computer room;

[0057] Among them, the equipment in the computer room with low-frequency radiation characteristics turns on the magnetic field intensity meter;

[0058] The RF field strength measuring instrument is turned on for the equipment in the room whose radiation characteristics are RF radiation;

[0059] The high-frequency field strength measuring instrument is turned on for the equipment in the computer room with high-frequency radiation characteristics;

[0060] The microwave radiation measuring instrument is turned on for the equipment in the room whose radiation characteristic is microwave radiation;

[0061] After all electromagnetic radiation detection equipment are turned on, electromagnetic radiation detection of the equipment is carried out respectively.

[0062] Preferably, the electromagnetic radiation detection device in S3 detects the electromagnetic radiation emitted by the equipment in the computer room respectively, and further includes:

[0063] The magnetic field intensity meter senses the magnetic field changes in the surrounding environment through the built-in magnetic field sensor, converts the sensed magnetic field changes into electrical signals, and converts the electrical signals into low-frequency field strength values;

[0064] The RF field strength measuring instrument receives the RF signal emitted by the equipment in the computer room and converts the RF signal into RF field strength value;

[0065] The high-frequency field strength measuring instrument receives the high-frequency signal sent by the equipment in the computer room and converts it into an electrical signal, and then converts the electrical signal into a high-frequency field strength value;

[0066] The microwave radiation measuring instrument uses a microwave detector or antenna to receive the microwave signal of the equipment in the machine room, converts the microwave signal into an electrical signal, and converts the electrical signal into a microwave radiation value;

[0067] The low-frequency field strength value, radio frequency field strength value, high-frequency field strength value and microwave radiation value are integrated into the data set, and after the integration is completed, the electromagnetic radiation data to be processed is obtained.

[0068] Preferably, performing safety judgment on the electromagnetic radiation data to be processed and the corresponding equipment room equipment in S4, and extracting abnormal data according to the judgment result, includes:

[0069] The acquired electromagnetic radiation data to be processed are respectively matched with the equipment for acquiring the data, and after the matching is completed, the acquired electromagnetic radiation detection data and the sub-data of the detection equipment are obtained;

[0070] Retrieving the standard electromagnetic radiation data of the detection equipment in each sub-data from the database;

[0071] Performing data curve conversion between the retrieved standard electromagnetic radiation data and the electromagnetic radiation detection data obtained in the sub-data;

[0072] After the curve conversion is completed, the curve overlap comparison is performed, and the non-overlapping area when the curves overlap is intercepted according to the comparison result;

[0073] The intercepted non-overlapping areas are marked as abnormal electromagnetic radiation data.

[0074] Preferably, judging the warning intensity according to the abnormal degree of the abnormal electromagnetic radiation data in S5, and performing abnormal alarms in different ways according to the warning intensity include:

[0075] The abnormal electromagnetic radiation data is confirmed as an abnormal area, wherein the abnormal area is a blank area without overlapping areas;

[0076] Determine the abnormal degree of abnormal electromagnetic radiation data according to the blank area, wherein the larger the blank area, the higher the abnormal degree;

[0077] Determine the warning intensity based on the range of abnormality, where the warning intensity is level one, level two, and level three;

[0078] Different warning intensities respond to different types of alarms.

[0079] Compared with the prior art, the present invention has the following beneficial effects:

[0080] 1. The present invention provides a green computer room electromagnetic radiation detection method, which arranges equipment according to the electromagnetic radiation data and radiation characteristics of the equipment, thereby optimizing the space utilization of the computer room and minimizing the mutual influence between equipment. Functional testing of equipment can timely discover and solve equipment failures or performance problems, avoid misjudgment or missed detection due to equipment failure during electromagnetic radiation detection, and thus play a preventive role.

[0081] 2. The present invention provides a green computer room electromagnetic radiation detection method, which selects appropriate electromagnetic radiation detection equipment according to the radiation characteristics of the computer room equipment. The targeted detection method can more accurately evaluate the electromagnetic radiation level of the equipment, improve the accuracy and reliability of the detection, and directly select the corresponding detection equipment according to the radiation characteristics, avoiding unnecessary equipment selection and debugging time, and improving the detection efficiency. Each measuring instrument is optimized and designed for the signal in its specific frequency band, which improves the accuracy and precision of the measurement.

[0082] 3. The present invention provides a method for detecting electromagnetic radiation in a green computer room. The method uses curve conversion and overlapping comparison between standard electromagnetic radiation data and measured data to accurately identify the difference between the two, thereby accurately locating abnormal data. The curve conversion and overlapping comparison method makes the data difference more intuitive and visible, and is easy to understand and analyze. Accurate judgment of the warning intensity helps to reduce false alarms and missed alarms, and improve the credibility of the warning system. Different types of alarms are adopted according to different warning intensities, making the response measures more targeted. BRIEF DESCRIPTION OF THE DRAWINGS

[0083] Figure 1 It is a schematic diagram of the steps of detecting electromagnetic radiation in a green computer room according to the present invention;

[0084] Figure 2 It is a schematic flow chart of the green computer room electromagnetic radiation detection method of the present invention. DETAILED DESCRIPTION

[0085] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0086] In order to solve the problem that in the prior art, each device is not tested specifically before the electromagnetic radiation detection of the equipment in the computer room, which leads to the inability to perform electromagnetic radiation detection, please refer to Figure 1 and Figure 2 , this embodiment provides the following technical solutions:

[0087] A method for detecting electromagnetic radiation in a green computer room comprises the following steps:

[0088] S1: Equipment confirmation in the computer room: Obtain the equipment that emits electromagnetic radiation in the green computer room and confirm the placement of each equipment in the computer room;

[0089] Among them, equipment layout based on the electromagnetic radiation data and radiation characteristics of the equipment can optimize the space utilization of the computer room and minimize the mutual influence between equipment;

[0090] S2: Placement of electromagnetic radiation detection equipment: Place the electromagnetic radiation detection equipment according to the placement of the equipment in the computer room, and perform functional testing on each equipment in the computer room;

[0091] Among them, functional testing of the equipment can timely discover and solve equipment failures or performance problems, avoiding misjudgment or missed detection due to equipment failure during electromagnetic radiation detection;

[0092] S3: Equipment electromagnetic radiation detection: The electromagnetic radiation detection equipment detects the electromagnetic radiation emitted by the equipment in the computer room respectively, and marks the detected electromagnetic radiation as electromagnetic radiation data to be processed;

[0093] Each detection device focuses on the type of radiation it is good at, which can complete the detection task faster and reduce misjudgments caused by equipment mismatch or improper detection methods;

[0094] S4: Electromagnetic radiation detection data analysis: Make safety judgments on the electromagnetic radiation data to be processed and the corresponding equipment in the computer room, extract abnormal data based on the judgment results, and mark the retrieved abnormal data as abnormal electromagnetic radiation data;

[0095] Among them, by marking the non-overlapping areas as abnormal electromagnetic radiation data, the abnormal parts are clear at a glance, which is convenient for subsequent processing;

[0096] S5: Abnormal data warning: The warning intensity is judged according to the abnormal degree of abnormal electromagnetic radiation data, and different abnormal alarms are issued according to the warning intensity;

[0097] Among them, different types of alarms are adopted according to the different warning intensities, making the response measures more targeted.

[0098] For S1, obtain the devices that emit electromagnetic radiation in the green room and confirm the placement of each room equipment, including:

[0099] Acquire the equipment in the computer room, where the equipment includes computer equipment, display equipment, printing equipment, copying equipment, wireless communication equipment and high-frequency equipment;

[0100] Construct the equipment coordinate system for each equipment in the computer room;

[0101] Among them, a plan view is generated for the location of each equipment in the computer room;

[0102] Mark the coordinates of each equipment location in the generated floor plan;

[0103] After the coordinate marking is completed, the equipment coordinate system of the computer room equipment in the computer room is obtained.

[0104] Specifically, by obtaining and identifying all the equipment that emits electromagnetic radiation in the computer room, the layout of these devices can be accurately managed, thereby reducing the potential threat of electromagnetic radiation to personnel and other equipment. This is crucial to ensuring the health of computer room staff and the stable operation of equipment. Constructing a device coordinate system for each computer room device and marking its location on the floor plan will help to rationally plan the computer room space and improve space utilization. The construction of a green computer room not only focuses on energy saving and consumption reduction, but also emphasizes the efficient use of space. In a green computer room, optimizing airflow organization is crucial to improving air conditioning efficiency and reducing energy consumption. By accurately marking the location of computer room equipment, hot and cold channels can be better planned, airflow paths can be optimized, and the cooling efficiency of the computer room can be improved.

[0105] In S2, the electromagnetic radiation detection equipment is placed according to the placement of the equipment in the computer room, including:

[0106] Confirm the electromagnetic radiation data of each equipment in the computer room, wherein the electromagnetic radiation data of the equipment is retrieved from the database, and the electromagnetic radiation data includes the frequency range, maximum radiation intensity and radiation characteristics of the radiation;

[0107] Place electromagnetic radiation detection equipment according to the electromagnetic radiation data of each equipment room;

[0108] Among them, the corresponding electromagnetic radiation detection equipment is selected according to the radiation characteristics of the equipment in the computer room. The radiation characteristics of the equipment in the computer room include low-frequency radiation, radio frequency radiation, high-frequency radiation, and microwave radiation.

[0109] Specifically, by accurately measuring and confirming the electromagnetic radiation data of each device, we can more accurately understand the electromagnetic environment of the device. Properly isolating or taking protective measures on devices with high electromagnetic radiation can reduce interference with other devices and reduce the risk of equipment failure or performance degradation caused by electromagnetic radiation, thereby ensuring the overall operation safety of the equipment in the computer room. Equipment layout based on the electromagnetic radiation data and radiation characteristics of the equipment can optimize the space utilization of the computer room and minimize the mutual influence between devices. This not only helps to improve the overall work efficiency of the computer room, but also facilitates future equipment expansion and maintenance.

[0110] Perform functional tests on each equipment in the computer room in S2, including:

[0111] Before conducting electromagnetic radiation testing on equipment in the computer room, conduct functional testing on each device;

[0112] Computer equipment includes servers, workstations, routers, and switches. Each device is tested for hardware, power-on self-test, performance, operating system, and interface.

[0113] Display devices include LCD and LED display screens, and each device is tested for display, resolution, refresh rate and interface;

[0114] Printing equipment includes printers and fax machines. Each device is tested for printing, consumables, functions and interfaces.

[0115] The copying equipment is a photocopier, and the copying equipment is tested for copying, paper and functions;

[0116] Wireless communication equipment includes wireless phones and wireless networks, and each device is tested for connection, signal strength, data transmission and configuration;

[0117] High-frequency equipment includes electron accelerators and ultrasonic devices, and each device is individually tested for performance and interface;

[0118] Each device is tested for electromagnetic radiation after passing the test.

[0119] Specifically, before conducting electromagnetic radiation detection, a functional test is performed on the equipment first, which can timely discover and solve equipment failures or performance problems, avoid misjudgment or missed detection due to equipment failure during electromagnetic radiation detection, and thus play a preventive role. Computer equipment, display equipment, printing equipment, copying equipment, wireless communication equipment and high-frequency equipment are tested to ensure that each type of key equipment has received a comprehensive functional test.

[0120] Specifically, the wireless connection quality of each device is detected according to the signal strength and data transmission operation parameters after the wireless connection of each device, including:

[0121] After each device is wirelessly connected, the signal strength value of each device after the wireless connection is monitored in real time;

[0122] Compare the signal strength value of each device after wireless connection with its corresponding signal strength threshold;

[0123] When the ratio of the time period during which the signal strength value corresponding to each device is lower than the corresponding signal strength threshold exceeds the preset time ratio threshold, the device whose signal strength value is lower than the corresponding signal strength threshold exceeds the preset time ratio threshold is marked as a target monitoring device;

[0124] Extracting the signal strength value of the target monitoring device;

[0125] The first wireless communication evaluation parameter is obtained by using the signal strength value of the target monitoring device; wherein the first wireless communication evaluation parameter is obtained by the following formula:

[0126]

[0127] Among them, J 01 represents the first wireless communication evaluation parameter; p represents the time ratio of the signal strength value corresponding to the device being lower than the corresponding signal strength threshold; k represents the number of signal strengths exceeding the signal strength threshold generated during the operation of the device; B j Indicates the jth signal strength value exceeding the signal strength threshold; t j Indicates the duration of the jth signal strength value exceeding the signal strength threshold; B e represents the signal strength threshold; t represents the total duration of the current device operation; n represents the number of signal strengths below the signal strength threshold generated during the device operation; B i represents the signal strength value of the ith signal that is lower than the signal strength threshold; t i Indicates the duration of the i-th signal strength value below the signal strength threshold; m indicates the number of unit times contained in the total operation time of the current device, and the unit time is 1s; B y represents the signal strength value corresponding to the yth unit time; j represents the serial number corresponding to the number of acquisitions of the duration of the signal strength value exceeding the signal strength threshold; i represents the serial number of acquisitions corresponding to the signal strength value below the signal strength threshold;

[0128] Extracting data transmission operation parameters of the target monitoring device, and using the data transmission operation parameters to obtain a second wireless communication evaluation parameter;

[0129] The first wireless communication evaluation parameter and the second wireless communication evaluation parameter are used to obtain a comprehensive evaluation parameter; wherein the comprehensive evaluation parameter is obtained by the following formula:

[0130]

[0131] Among them, J represents the comprehensive evaluation parameter; J 01 represents the first wireless communication evaluation parameter; J 02 represents a second wireless communication evaluation parameter;

[0132] When the comprehensive evaluation parameter exceeds a preset comprehensive parameter threshold, it is determined that the wireless communication quality of the target monitoring device is abnormal, and an abnormal alarm is issued.

[0133] The technical effect of the above technical solution is: by real-time monitoring of the signal strength value of each device after wireless connection and comparing it with the preset signal strength threshold, the device with substandard signal strength (i.e., the target monitoring device) can be quickly and accurately identified. This method effectively avoids communication interruptions or data transmission quality problems caused by weak signals, and improves the stability and reliability of wireless networks. By introducing the first wireless communication evaluation parameter (J01), multiple factors such as the ratio of the time when the signal strength is lower than the threshold, the signal strength exceeding the threshold and its duration are comprehensively considered to comprehensively and objectively evaluate the wireless communication quality of the device. This multi-dimensional evaluation method can better reflect the actual communication status of the device than a single indicator (such as signal strength).

[0134] In addition to signal strength, the data transmission operation parameters of the target monitoring device are extracted and analyzed to calculate the second wireless communication evaluation parameter (J02). This step further enriches the evaluation dimension, making the evaluation results more comprehensive and accurate, and better reflecting the performance of the device during data transmission. By combining the first and second wireless communication evaluation parameters, the comprehensive evaluation parameter (J) is calculated and compared with the preset comprehensive parameter threshold. When the comprehensive evaluation parameter exceeds the threshold, the system automatically determines that the wireless communication quality of the target monitoring device is abnormal and triggers an abnormal alarm. This mechanism can detect and report potential problems in a timely manner, provide strong technical support for operation and maintenance personnel, and quickly respond to and solve problems. The entire technical solution realizes the automated monitoring, evaluation and alarm of wireless communication quality, greatly reduces the workload of operation and maintenance personnel, and improves the efficiency and accuracy of network operation and maintenance. At the same time, by accurately locating problem equipment and problem links, it helps operation and maintenance personnel to formulate and implement solutions more quickly to ensure the stable operation of the network.

[0135] In summary, this technical solution effectively improves the stability and reliability of wireless networks, reduces operation and maintenance costs, and improves the efficiency and accuracy of network operation and maintenance through real-time monitoring, multi-dimensional assessment, comprehensive evaluation, and abnormal alarm.

[0136] Specifically, extracting the data transmission operation parameters of the target monitoring device and using the data transmission operation parameters to obtain the second wireless communication evaluation parameter includes:

[0137] After the target monitoring device is determined and acquired, the historical operation record of the target monitoring device is extracted;

[0138] Extracting data transmission operation parameters of the target monitoring device from the historical operation record, wherein the data transmission operation parameters include packet loss rate, retransmission rate and bit error rate;

[0139] The second wireless communication evaluation parameter is obtained by using the packet loss rate, retransmission rate and bit error rate; wherein the second wireless communication evaluation parameter is obtained by the following formula:

[0140]

[0141] Among them, J 02 represents the second wireless communication evaluation parameter; m represents the number of unit times contained in the total duration of the current device operation, and the unit time is 1s; B e Indicates the signal strength threshold; B t Indicates the signal strength value corresponding to the t-th unit time; D t , C t and W t They represent the packet loss rate, retransmission rate and bit error rate corresponding to the t-th unit time respectively; λ represents the adjustment coefficient, and the adjustment coefficient is obtained by the following formula:

[0142]

[0143] Among them, λ represents the adjustment coefficient; x represents the number of packet losses during data transmission; B xi Indicates the signal strength value corresponding to the i-th data transmission packet loss; B e Indicates the signal strength threshold; C y and W y They represent the retransmission rate and bit error rate corresponding to the yth unit time respectively; d represents the ratio of the number of retransmissions of the packet loss data corresponding to the device to the total number of retransmissions; w represents the ratio of the number of retransmissions of the data with bit transmission errors to the total number of retransmissions.

[0144] The technical effect of the above technical solution is: by extracting the historical operation records of the target monitoring equipment and focusing on the data transmission operation parameters (such as packet loss rate, retransmission rate and bit error rate), the stability and reliability of the equipment during the data transmission process can be deeply evaluated. These parameters directly reflect the quality of data transmission and are of great significance for diagnosing network problems and optimizing network configuration. When calculating the second wireless communication evaluation parameter (J02), not only the three key indicators of packet loss rate, retransmission rate and bit error rate are considered, but also the adjustment coefficient (λ) is introduced. This coefficient further combines the signal strength threshold (Be) and the specific performance during the data transmission process (such as the number of packet losses and their corresponding signal strength, retransmission and bit error data ratio). This multi-dimensional comprehensive consideration makes the evaluation results more comprehensive and accurate.

[0145] The introduction of the adjustment coefficient (λ) makes the second wireless communication evaluation parameter dynamically adaptable. It can automatically adjust the evaluation weight according to the actual situation during data transmission (such as signal strength, number of packet losses, retransmission and bit error ratio, etc.), so as to more accurately reflect the current data transmission quality. By real-time monitoring and evaluation of data transmission operation parameters, potential network problems such as high packet loss rate, high retransmission rate and high bit error rate can be discovered and solved in time. This refined management helps to optimize network configuration, improve the efficiency and stability of data transmission, and thus improve the overall network performance. The entire evaluation process is automated and intelligent, reducing the possibility of manual intervention and misjudgment. At the same time, by timely discovering and reporting abnormal situations, it helps operation and maintenance personnel to quickly locate problems and take measures to solve them, thereby improving the efficiency and accuracy of network operation and maintenance.

[0146] In summary, this technical solution effectively improves the stability and reliability of network data transmission, reduces operation and maintenance costs, and improves the efficiency and accuracy of network operation and maintenance through in-depth evaluation of data transmission quality, multi-dimensional comprehensive consideration, dynamic adaptability and refined management.

[0147] In order to solve the problem that the existing technology does not perform targeted electromagnetic radiation detection according to the characteristics of the equipment in the computer room, resulting in inaccurate detection data of the equipment in the computer room, please refer to Figure 1 and Figure 2 , this embodiment provides the following technical solutions:

[0148] For the electromagnetic radiation equipment in S3, the electromagnetic radiation emitted by the equipment in the computer room is detected separately, including:

[0149] Turn on the electromagnetic radiation detection equipment according to the radiation characteristics of the equipment in the computer room;

[0150] Among them, the equipment in the computer room with low-frequency radiation characteristics turns on the magnetic field intensity meter;

[0151] The RF field strength measuring instrument is turned on for the equipment in the room whose radiation characteristics are RF radiation;

[0152] The high-frequency field strength measuring instrument is turned on for the equipment in the computer room with high-frequency radiation characteristics;

[0153] The microwave radiation measuring instrument is turned on for the equipment in the room whose radiation characteristic is microwave radiation;

[0154] After all electromagnetic radiation detection equipment are turned on, electromagnetic radiation detection of the equipment is carried out respectively.

[0155] The magnetic field intensity meter senses the magnetic field changes in the surrounding environment through the built-in magnetic field sensor, converts the sensed magnetic field changes into electrical signals, and converts the electrical signals into low-frequency field strength values;

[0156] The RF field strength measuring instrument receives the RF signal emitted by the equipment in the computer room and converts the RF signal into RF field strength value;

[0157] The high-frequency field strength measuring instrument receives the high-frequency signal sent by the equipment in the computer room and converts it into an electrical signal, and then converts the electrical signal into a high-frequency field strength value;

[0158] The microwave radiation measuring instrument uses a microwave detector or antenna to receive the microwave signal of the equipment in the machine room, converts the microwave signal into an electrical signal, and converts the electrical signal into a microwave radiation value;

[0159] The low-frequency field strength value, radio frequency field strength value, high-frequency field strength value and microwave radiation value are integrated into the data set, and after the integration is completed, the electromagnetic radiation data to be processed is obtained.

[0160] Specifically, appropriate electromagnetic radiation detection equipment is selected according to the radiation characteristics of the equipment in the computer room. Targeted detection methods can more accurately evaluate the electromagnetic radiation level of the equipment, improve the accuracy and reliability of detection, and directly select the corresponding detection equipment according to the radiation characteristics, avoiding unnecessary equipment selection and debugging time, and improving detection efficiency. At the same time, each detection device focuses on the type of radiation it is good at, and can complete the detection task faster, which can reduce misjudgment caused by equipment mismatch or improper detection methods. It covers electromagnetic radiation measurement from low frequency to microwave frequency range, and can fully reflect the true situation of the electromagnetic environment in the computer room. Each measuring instrument is optimized for the signal of its specific frequency band, which improves the accuracy and precision of the measurement. The use of dedicated measuring instruments to measure different types of electromagnetic radiation avoids the measurement errors and limitations that may be caused by using a single instrument.

[0161] In order to solve the problem in the prior art that the electromagnetic radiation data is not accurately analyzed, resulting in the inability to obtain abnormal data in a timely manner and the inability to provide targeted warnings based on the degree of abnormality, please refer to Figure 1 and Figure 2 , this embodiment provides the following technical solutions:

[0162] Make safety judgments on the electromagnetic radiation data to be processed and the corresponding equipment in the computer room in S4, and extract abnormal data based on the judgment results, including;

[0163] The acquired electromagnetic radiation data to be processed are respectively matched with the equipment for acquiring the data, and after the matching is completed, the acquired electromagnetic radiation detection data and the sub-data of the detection equipment are obtained;

[0164] Retrieving the standard electromagnetic radiation data of the detection equipment in each sub-data from the database;

[0165] Performing data curve conversion between the retrieved standard electromagnetic radiation data and the electromagnetic radiation detection data obtained in the sub-data;

[0166] After the curve conversion is completed, the curve overlap comparison is performed, and the non-overlapping area when the curves overlap is intercepted according to the comparison result;

[0167] The intercepted non-overlapping areas are marked as abnormal electromagnetic radiation data.

[0168] Specifically, by matching the data to be processed with the specific equipment, the accuracy and traceability of the data are ensured. By using the standard electromagnetic radiation data and the measured data for curve conversion and overlap comparison, the difference between the two can be accurately identified, thereby accurately locating the abnormal data. The curve conversion and overlap comparison methods make the data differences more intuitive and visible, and easy to understand and analyze. By marking the non-overlapping areas as abnormal electromagnetic radiation data, the abnormal parts are clear at a glance, which is convenient for subsequent processing.

[0169] According to the abnormal degree of abnormal electromagnetic radiation data in S5, the warning intensity is judged, and different abnormal alarms are issued according to the warning intensity, including;

[0170] The abnormal electromagnetic radiation data is confirmed as an abnormal area, wherein the abnormal area is a blank area without overlapping areas;

[0171] Determine the abnormal degree of abnormal electromagnetic radiation data according to the blank area, wherein the larger the blank area, the higher the abnormal degree;

[0172] Determine the warning intensity based on the range of abnormality, where the warning intensity is level one, level two, and level three;

[0173] Different warning intensities respond to different types of alarms.

[0174] Specifically, by refining the abnormal electromagnetic radiation data into specific abnormal areas and judging the degree of abnormality based on the size of the blank area, this method can more accurately reflect the severity and scope of the electromagnetic radiation problem. Accurate judgment of the warning intensity helps to reduce false alarms and missed alarms, improve the credibility of the warning system, and take different forms of alarms according to the different warning intensities, so that the response measures are more targeted. For example, for more serious electromagnetic radiation problems (such as the first-level warning), more urgent and direct alarm methods can be adopted, such as sound and light alarms and instant messaging notifications; while for relatively minor problems (such as the third-level warning), reminders can be made through emails or text messages. The settings of the warning intensity and alarm method can be adjusted and optimized according to the actual situation. For example, with a deeper understanding of the electromagnetic radiation problem in the computer room, the classification criteria for the warning intensity can be further refined, or the alarm methods under different warning intensities can be adjusted to better meet actual needs.

[0175] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0176] While the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that many changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the invention.

Claims

1. A method for detecting electromagnetic radiation in a green computer room, characterized in that: The steps include: S1: Equipment confirmation in the computer room: Obtain the equipment that emits electromagnetic radiation in the green computer room and confirm the placement of each equipment in the computer room; S2: Placement of electromagnetic radiation detection equipment: Place the electromagnetic radiation detection equipment according to the placement of the equipment in the computer room, and perform functional testing on each equipment in the computer room; S3: Equipment electromagnetic radiation detection: The electromagnetic radiation detection equipment detects the electromagnetic radiation emitted by the equipment in the computer room respectively, and marks the detected electromagnetic radiation as electromagnetic radiation data to be processed; S4: Electromagnetic radiation detection data analysis: Make safety judgments on the electromagnetic radiation data to be processed and the corresponding equipment in the computer room, extract abnormal data based on the judgment results, and mark the retrieved abnormal data as abnormal electromagnetic radiation data; S5: Abnormal data warning: The warning intensity is judged according to the abnormal degree of abnormal electromagnetic radiation data, and different abnormal alarms are issued according to the warning intensity; Perform functional tests on each equipment in the computer room in S2, including: Before conducting electromagnetic radiation testing on equipment in the computer room, conduct functional testing on each device; Computer equipment includes servers, workstations, routers, and switches. Each device is tested for hardware, power-on self-test, performance, operating system, and interface. Display devices include LCD and LED display screens, and each device is tested for display, resolution, refresh rate and interface; Printing equipment includes printers and fax machines. Each device is tested for printing, consumables, functions and interfaces. The copying equipment is a photocopier, and the copying equipment is tested for copying, paper and functions; Wireless communication equipment includes wireless phones and wireless networks, and each device is tested for connection, signal strength, data transmission and configuration; High-frequency equipment includes electron accelerators and ultrasonic devices, and each device is individually tested for performance and interface; Each device is tested for electromagnetic radiation after passing the test; According to the signal strength and data transmission operation parameters of each device after wireless connection, the wireless connection quality of each device is tested, including: After each device is wirelessly connected, the signal strength value of each device after the wireless connection is monitored in real time; Compare the signal strength value of each device after wireless connection with its corresponding signal strength threshold; When the ratio of the time period during which the signal strength value corresponding to each device is lower than the corresponding signal strength threshold exceeds the preset time ratio threshold, the device whose signal strength value is lower than the corresponding signal strength threshold exceeds the preset time ratio threshold is marked as a target monitoring device; Extracting the signal strength value of the target monitoring device; The first wireless communication evaluation parameter is obtained by using the signal strength value of the target monitoring device; wherein the first wireless communication evaluation parameter is obtained by the following formula: ； Among them, J 01 represents the first wireless communication evaluation parameter; p represents the time ratio of the signal strength value corresponding to the device being lower than the corresponding signal strength threshold; k represents the number of signal strengths exceeding the signal strength threshold generated during the operation of the device; B j Indicates the jth signal strength value exceeding the signal strength threshold; t j Indicates the duration of the jth signal strength value exceeding the signal strength threshold; B e represents the signal strength threshold; t represents the total duration of the current device operation; n represents the number of signal strengths below the signal strength threshold generated during the device operation; B i represents the signal strength value of the ith signal that is lower than the signal strength threshold; t i Indicates the duration of the i-th signal strength value below the signal strength threshold; m indicates the number of unit times contained in the total operation time of the current device, and the unit time is 1s; B y represents the signal strength value corresponding to the yth unit time; j represents the serial number corresponding to the number of acquisitions of the duration of the signal strength value exceeding the signal strength threshold; i represents the serial number of acquisitions corresponding to the signal strength value below the signal strength threshold; Extracting data transmission operation parameters of the target monitoring device, and using the data transmission operation parameters to obtain a second wireless communication evaluation parameter; The step of extracting the data transmission operation parameters of the target monitoring device and obtaining the second wireless communication evaluation parameter using the data transmission operation parameters includes: After the target monitoring device is determined and acquired, the historical operation record of the target monitoring device is extracted; Extracting data transmission operation parameters of the target monitoring device from the historical operation record, wherein the data transmission operation parameters include packet loss rate, retransmission rate and bit error rate; The second wireless communication evaluation parameter is obtained by using the packet loss rate, retransmission rate and bit error rate; wherein the second wireless communication evaluation parameter is obtained by the following formula: ； Among them, J 02 represents the second wireless communication evaluation parameter; m represents the number of unit times contained in the total duration of the current device operation, and the unit time is 1s; B e Indicates the signal strength threshold; B y Indicates the signal strength value corresponding to the y-th unit time; D y , C y and W y They represent the packet loss rate, retransmission rate and bit error rate corresponding to the y-th unit time respectively; λ represents the adjustment coefficient, and the adjustment coefficient is obtained by the following formula: ； Among them, λ represents the adjustment coefficient; x represents the number of packet losses during data transmission; B xi Indicates the signal strength value corresponding to the i-th data transmission packet loss; B e Indicates the signal strength threshold; C y and W y They represent the retransmission rate and bit error rate corresponding to the yth unit time respectively; d represents the ratio of the number of retransmissions of the packet loss data corresponding to the device to the total number of retransmissions; w represents the ratio of the number of retransmissions of the data with bit errors to the total number of retransmissions; The first wireless communication evaluation parameter and the second wireless communication evaluation parameter are used to obtain a comprehensive evaluation parameter; wherein the comprehensive evaluation parameter is obtained by the following formula: ； Among them, J represents the comprehensive evaluation parameter; J 01 represents the first wireless communication evaluation parameter; J 02 represents a second wireless communication evaluation parameter; When the comprehensive evaluation parameter exceeds a preset comprehensive parameter threshold, it is determined that the wireless communication quality of the target monitoring device is abnormal, and an abnormal alarm is issued.

2. The method for detecting electromagnetic radiation of a green computer room according to claim 1, characterized in that: For S1, obtain the devices that emit electromagnetic radiation in the green room and confirm the placement of each room equipment, including: Acquire the equipment in the computer room, where the equipment includes computer equipment, display equipment, printing equipment, copying equipment, wireless communication equipment and high-frequency equipment; Construct the equipment coordinate system for each equipment in the computer room; Among them, a plan view is generated for the location of each equipment in the computer room; Mark the coordinates of each equipment location in the generated floor plan; After the coordinate marking is completed, the equipment coordinate system of the computer room equipment in the computer room is obtained.

3. The method for detecting electromagnetic radiation of a green computer room according to claim 2, characterized in that: In S2, the electromagnetic radiation detection equipment is placed according to the placement of the equipment in the computer room, including: Confirm the electromagnetic radiation data of each equipment in the computer room, wherein the electromagnetic radiation data of the equipment is retrieved from the database, and the electromagnetic radiation data includes the frequency range, maximum radiation intensity and radiation characteristics of the radiation; Place electromagnetic radiation detection equipment according to the electromagnetic radiation data of each equipment room; Among them, the corresponding electromagnetic radiation detection equipment is selected according to the radiation characteristics of the equipment in the computer room. The radiation characteristics of the equipment in the computer room include low-frequency radiation, radio frequency radiation, high-frequency radiation, and microwave radiation.

4. The method for detecting electromagnetic radiation of a green computer room according to claim 3 is characterized in that: The electromagnetic radiation detection equipment in S3 detects the electromagnetic radiation emitted by the equipment in the computer room separately, including: Turn on the electromagnetic radiation detection equipment according to the radiation characteristics of the equipment in the computer room; Among them, the equipment in the computer room with low-frequency radiation characteristics turns on the magnetic field intensity meter; The RF field strength measuring instrument is turned on for the equipment in the room whose radiation characteristics are RF radiation; The high-frequency field strength measuring instrument is turned on for the equipment in the computer room with high-frequency radiation characteristics; The microwave radiation measuring instrument is turned on for the equipment in the room whose radiation characteristic is microwave radiation; After all electromagnetic radiation detection equipment are turned on, electromagnetic radiation detection of the equipment is carried out respectively.

5. The method for detecting electromagnetic radiation of a green computer room according to claim 4, characterized in that: The electromagnetic radiation detection equipment in S3 detects the electromagnetic radiation emitted by the equipment in the computer room separately, including: The magnetic field intensity meter senses the magnetic field changes in the surrounding environment through the built-in magnetic field sensor, converts the sensed magnetic field changes into electrical signals, and converts the electrical signals into low-frequency field strength values; The RF field strength measuring instrument receives the RF signal emitted by the equipment in the computer room and converts the RF signal into RF field strength value; The high-frequency field strength measuring instrument receives the high-frequency signal sent by the equipment in the computer room and converts it into an electrical signal, and then converts the electrical signal into a high-frequency field strength value; The microwave radiation measuring instrument uses a microwave detector or antenna to receive the microwave signal of the equipment in the machine room, converts the microwave signal into an electrical signal, and converts the electrical signal into a microwave radiation value; The low-frequency field strength value, radio frequency field strength value, high-frequency field strength value and microwave radiation value are integrated into the data set, and after the integration is completed, the electromagnetic radiation data to be processed is obtained.

6. A method for detecting electromagnetic radiation in a green computer room according to claim 5, characterized in that: Make safety judgments on the electromagnetic radiation data to be processed and the corresponding equipment room equipment in S4, and extract abnormal data based on the judgment results, including: The acquired electromagnetic radiation data to be processed are respectively matched with the equipment for acquiring the data, and after the matching is completed, the acquired electromagnetic radiation detection data and the sub-data of the detection equipment are obtained; Retrieving the standard electromagnetic radiation data of the detection equipment in each sub-data from the database; Performing data curve conversion between the retrieved standard electromagnetic radiation data and the electromagnetic radiation detection data obtained in the sub-data; After the curve conversion is completed, the curve overlap comparison is performed, and the non-overlapping area when the curves overlap is intercepted according to the comparison result; The intercepted non-overlapping areas are marked as abnormal electromagnetic radiation data.

7. The method for detecting electromagnetic radiation of a green computer room according to claim 6, characterized in that: According to the abnormal degree of abnormal electromagnetic radiation data in S5, the warning intensity is judged, and different abnormal alarms are issued according to the warning intensity, including: The abnormal electromagnetic radiation data is confirmed as an abnormal area, wherein the abnormal area is a blank area without overlapping areas; Determine the abnormal degree of abnormal electromagnetic radiation data according to the blank area, wherein the larger the blank area, the higher the abnormal degree; Determine the warning intensity based on the range of abnormality, where the warning intensity is level one, level two, and level three; Different warning intensities respond to different types of alarms.

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