A dynamic monitoring method and system based on distributed equipment power data

Abstract

The present invention relates to the field of electromagnetic environment monitoring technology, and in particular to a dynamic monitoring method and system based on distributed equipment power data. The present invention determines the electromagnetic radiation area of ​​each device by predetermining the load influence cycle of each device in the environment and the distribution position information of each device, and determines the radiation state by determining the signal radiation synchronization coefficient of the electromagnetic radiation area to determine the screening method of the monitoring object, and selects the monitoring method of the environmental electromagnetic intensity according to the difference in the number of monitoring objects in each electromagnetic radiation area. The dynamic monitoring system of the present invention realizes the combination of equipment spatial distribution, load cycle timing analysis and multi-band signal strength by setting an information extraction unit, a differentiation unit, an electromagnetic monitoring unit and a prompt unit, and improves the monitoring precision of the environmental electromagnetic intensity through electromagnetic radiation area division, signal synchronization analysis and differentiated screening of monitoring objects.

Description

Technical Field

[0001] The present invention relates to the technical field of electromagnetic environment monitoring, and in particular to a dynamic monitoring method and system based on distributed equipment power data. Background Art

[0002] In today's digital age, when transmitting high-frequency financial transaction data, data packet loss and delay caused by electromagnetic interference may cause financial institutions to miss the best trading opportunities and cause potential economic losses. Electromagnetic interference between distributed devices in the data processing of high-frequency financial transaction data is inevitable. These electromagnetic interferences greatly affect the transmission efficiency and stability of high-frequency financial transaction data.

[0003] When conducting electromagnetic monitoring on distributed equipment in data centers, there is a problem of being unable to dynamically capture the superposition effect of electromagnetic radiation caused by changes in the operating status of a group of equipment. When multiple devices start high-load mode at the same time in a similar period of time, their electromagnetic radiation may resonate or offset each other. Traditional monitoring methods cannot accurately identify such potential risks due to the lack of analysis of the correlation between the operating sequence of equipment. This may cause the data center to fail to issue early warnings and take effective measures when facing sudden high-load electromagnetic interference, resulting in failures in the financial data processing system, which in turn triggers a series of financial risks. In summary, adapting to the dynamic changes of distributed equipment and conducting effective monitoring of the electromagnetic environment in a targeted manner has become the key to improving the operating efficiency of data centers, ensuring the accurate and timely processing of financial data, and thus reducing corporate financial risks and improving economic benefits.

[0004] For example, Chinese patent application publication number CN113311251A discloses an electromagnetic radiation monitoring method and system. The electromagnetic radiation monitoring method includes: acquiring electromagnetic field signals at multiple frequency points in an environment; extracting the electromagnetic field signal at a first frequency point within a desired frequency range from the multiple frequency points, and calculating the comprehensive radiation field strength value of the desired frequency range; transmitting the electromagnetic field signals at the multiple frequency points at a first time interval, and transmitting the comprehensive radiation field strength value of the desired frequency range at a second time interval. The electromagnetic radiation monitoring method and system disclosed in this application can achieve real-time monitoring of the electromagnetic environment.

[0005] The following problems also exist in the prior art:

[0006] Existing technologies cannot combine the spatial distribution of equipment, load cycle timing analysis and multi-band signal strength in the process of processing high-frequency financial transaction data. They cannot achieve refined monitoring of environmental electromagnetic intensity through local division of electromagnetic radiation, signal synchronization analysis and differentiated screening of monitoring objects. Summary of the Invention

[0007] To this end, the present invention provides a dynamic monitoring method and system based on distributed equipment power data, which is used to overcome the problems that the existing technology cannot combine the spatial distribution of equipment, load cycle timing analysis and multi-band signal strength, and cannot perform local electromagnetic radiation division, signal synchronization analysis and differentiated screening of monitoring objects.

[0008] To achieve the above objectives, the present invention provides a dynamic monitoring method based on distributed device power data, comprising:

[0009] Predetermine the load impact cycle of each device in the environment during the historical operating period and the distribution location information of each device;

[0010] Determining the electromagnetic radiation local area of ​​each device based on the distribution location information, and determining the signal radiation synchronization coefficient of the electromagnetic radiation local area according to the load influence period of several devices in the electromagnetic radiation local area to determine the radiation state of the electromagnetic radiation local area;

[0011] Determine a screening method for monitoring objects within the electromagnetic radiation local area based on the radiation state, wherein the screening method is to screen a single key monitoring object or screen several collaborative monitoring objects based on a comparison of electromagnetic signal strengths of each device in several frequency bands;

[0012] A monitoring method for environmental electromagnetic intensity is selected based on the difference in the number of monitored objects in each electromagnetic radiation local area. The monitoring method is to influence the heterogeneous period according to the load influence period mark of the key monitored object in each electromagnetic radiation local area, or to influence the heterogeneous period according to the load influence period mark of the key monitored object and the collaborative monitored object in each electromagnetic radiation local area;

[0013] Several marked periods of influence on the opposite sex will be given an alarm prompt.

[0014] Furthermore, determining the load impact period of each device in the environment includes:

[0015] Obtain the load parameters corresponding to the start time and end time of each device in the environment;

[0016] Calculate the absolute value of the load difference between the load parameter corresponding to the start time and the load parameter corresponding to the end time;

[0017] The unit time period during which the absolute value of the load difference exceeds a preset load threshold is determined as the load impact period of the device.

[0018] Furthermore, determining the electromagnetic radiation localization of each device includes:

[0019] Obtain the distribution location information of each device;

[0020] Determining the distance between each device and other devices, and determining an area formed by several devices whose distances meet the local construction condition as the electromagnetic radiation local area;

[0021] The local construction condition is that the distance does not exceed a preset distance threshold.

[0022] Furthermore, the process of determining the signal radiation synchronization coefficient of the local electromagnetic radiation includes:

[0023] Obtaining the start time corresponding to a plurality of load influence cycles of each device within the electromagnetic radiation local area;

[0024] Sort the start times of several load impact cycles of each device in time sequence and construct an electromagnetic impact time series set;

[0025] Determine the number of moments that are the same as the electromagnetic influence timing set of the current device and the electromagnetic influence timing sets of other devices, calculate the average value of the ratios of several of the moment numbers to the total number of moments in the electromagnetic influence timing set of the current device, and determine the average value as the signal radiation synchronization coefficient.

[0026] Furthermore, determining the radiation state of the local electromagnetic radiation region includes:

[0027] According to the comparison result that the signal radiation synchronization coefficient meets the synchrotron radiation condition, determining that the radiation state of the electromagnetic radiation local area is a synchrotron radiation tendency state;

[0028] According to the comparison result that the signal radiation synchronization coefficient does not meet the synchrotron radiation condition, determining that the radiation state of the electromagnetic radiation local area is a non-synchrotron radiation tendency state;

[0029] The synchronization radiation condition is that the signal radiation synchronization coefficient exceeds a preset synchronization coefficient reference value.

[0030] Furthermore, the screening methods for determining monitoring objects include:

[0031] If the radiation state of the local electromagnetic radiation area is a synchronous radiation tendency state, a unique key monitoring object is selected based on the comparison of the electromagnetic signal strength of each device in several frequency bands;

[0032] If the radiation state of the local electromagnetic radiation is an asynchronous radiation tendency state, a number of collaborative monitoring objects are selected based on the comparison of the electromagnetic signal strength of each device in a number of frequency bands.

[0033] Furthermore, the process of selecting a unique key monitoring object and selecting several collaborative monitoring objects includes:

[0034] Obtaining electromagnetic signal strengths corresponding to several frequency values ​​of each device in each frequency band, and determining an average value of the electromagnetic signal strengths corresponding to the frequency values ​​as the electromagnetic signal strength of the frequency band;

[0035] Calculate the average electromagnetic signal strength of each device in several frequency bands, and select the device with the largest average electromagnetic signal strength as the only key monitoring object;

[0036] Determine the device corresponding to the maximum electromagnetic signal strength in the same frequency band, and select the device corresponding to the maximum electromagnetic signal strength in each frequency band as the collaborative monitoring object.

[0037] Furthermore, the process of selecting a monitoring method for environmental electromagnetic intensity includes:

[0038] Determine the number of monitored objects in each electromagnetic radiation area and calculate the standard deviation of the number of monitored objects;

[0039] According to the comparison result of the quantity standard deviation meeting the synchronization judgment condition, determining the marking method of marking the impact anomalous period according to the load impact period of the key monitoring object in each electromagnetic radiation local area;

[0040] According to the comparison result that the quantity standard deviation does not meet the synchronization judgment condition, determining the marking method of the load influence period marking of the key monitoring object and the collaborative monitoring object in each electromagnetic radiation local area;

[0041] The synchronization determination condition is that the quantity standard deviation does not exceed a preset quantity standard deviation threshold.

[0042] Furthermore, the process of marking the influence of opposite sex cycle includes:

[0043] Pre-acquire the load impact cycles of several key monitoring objects in the electromagnetic radiation local area and the load impact cycles of several coordinated monitoring objects in the electromagnetic radiation local area;

[0044] In the method of marking the influence heterogeneity period according to the load influence period of the key monitoring object, the load influence period with the largest number of overlaps among several load influence periods of the key monitoring object is selected and marked as the influence heterogeneity period;

[0045] In the method of marking the influence heterogeneous period according to the load influence period of the key monitoring object and the collaborative monitoring object, the load influence period whose overlapping number exceeds the preset number compared with the reference value among several load influence periods of the key monitoring object and the collaborative monitoring object is marked as the said influence heterogeneous period.

[0046] Furthermore, the present invention also provides a dynamic monitoring system based on distributed equipment power data, comprising:

[0047] An information extraction unit, used to determine the load impact period and the distribution location information of each device;

[0048] a distinguishing unit connected to the information extraction unit, configured to determine the electromagnetic radiation localization of each device and the signal radiation synchronization coefficient of the electromagnetic radiation localization, and determine the radiation state of the electromagnetic radiation localization according to the signal radiation synchronization coefficient;

[0049] an electromagnetic monitoring unit, connected to the information extraction unit and the differentiation unit, respectively, for determining a screening method for monitoring objects within the electromagnetic radiation local area based on the radiation state, and selecting a monitoring method for the environmental electromagnetic intensity according to the difference in the number of monitoring objects within each electromagnetic radiation local area;

[0050] The prompt unit is connected to the electromagnetic monitoring unit and is used to issue an alarm prompt for several anisotropic periods of the mark.

[0051] Compared with the prior art, the beneficial effects of the present invention lie in that the present invention determines the electromagnetic radiation area of ​​each device by predetermining the load influence cycle of each device in the environment and the distribution position information of each device, determines the radiation state by determining the signal radiation synchronization coefficient of the electromagnetic radiation area, and determines the screening method of the monitoring object within the electromagnetic radiation area based on the radiation state, including screening a unique key monitoring object or screening several collaborative monitoring objects, and selecting the monitoring method of the environmental electromagnetic intensity according to the difference in the number of monitoring objects in each electromagnetic radiation area; the dynamic monitoring system of the present invention realizes the combination of equipment spatial distribution, load cycle timing analysis and multi-band signal strength by setting an information extraction unit, a differentiation unit, an electromagnetic monitoring unit and a prompt unit, and improves the monitoring precision of the environmental electromagnetic intensity through the division of electromagnetic radiation areas, signal synchronization analysis and differentiated screening of monitoring objects.

[0052] Furthermore, the present invention can accurately identify periods with significant equipment load fluctuations by calculating the difference in load parameters within a preset unit time period and comparing it with a preset load threshold, avoiding taking all operating periods of the equipment into consideration and focusing only on critical periods that may have a significant impact on electromagnetic radiation, thereby greatly improving the targeted nature of monitoring.

[0053] Furthermore, the present invention obtains the equipment distribution location information and determines the electromagnetic radiation area based on the distance, so that the equipment that is closely spaced and has a greater mutual influence on electromagnetic radiation can be divided into an overall area. In this way, the monitoring can focus on these interrelated equipment, avoiding ineffective monitoring of scattered equipment with no obvious connection, making the monitoring work more targeted. By determining the electromagnetic radiation area, each area can be monitored and analyzed in a targeted manner, which can effectively reduce unnecessary monitoring points, avoid waste of resources, and improve monitoring efficiency.

[0054] Furthermore, the present invention obtains the starting time of the equipment load impact cycle, constructs an electromagnetic impact time series set, and calculates the ratio average to determine the signal radiation synchronization coefficient. It can quantify the degree of synchronization of load fluctuations between devices, and determine the radiation state of the local electromagnetic radiation based on the comparison between the signal radiation synchronization coefficient and the preset synchronization coefficient reference value. For the local area with a tendency to synchronous radiation, we can focus on the overall radiation characteristics and potential interference problems; for the local area with a tendency to asynchronous radiation, we can adopt a more comprehensive monitoring and processing strategy to improve the targeted monitoring and management.

[0055] Furthermore, the present invention adopts different monitoring object screening methods according to the different radiation states of the local electromagnetic radiation area, avoiding indiscriminate monitoring of all equipment, and can concentrate resources to focus on monitoring key equipment or representative equipment, thereby improving monitoring efficiency. The screened key monitoring objects and collaborative monitoring objects can more accurately reflect the electromagnetic environment characteristics of the local electromagnetic radiation area. For the synchronous radiation tendency state, the key monitoring object can represent the synchronous radiation situation of the entire local area; for the asynchronous radiation tendency state, several collaborative monitoring objects reflect the complex electromagnetic radiation situation in the local area from different frequency bands. Through the local division of electromagnetic radiation, signal synchronization analysis and differentiated screening of monitoring objects, the monitoring precision of the environmental electromagnetic intensity is improved.

[0056] Furthermore, the present invention can determine the appropriate monitoring method according to the actual conditions of different local areas by calculating the standard deviation of the number of monitored objects in each electromagnetic radiation local area. When the number standard deviation does not exceed the threshold, it indicates that the number of monitored objects in each local area is relatively balanced. At this time, the efficiency can be improved by selecting the load impact cycle mark affecting the heterogeneous period according to the key monitored object; when the number standard deviation exceeds the threshold, it indicates that the number of monitored objects in each local area is quite different. Comprehensive consideration of the load impact cycle mark affecting the heterogeneous period of the key monitored objects and the collaborative monitored objects can more comprehensively reflect the actual conditions of each local area. Through the division of electromagnetic radiation local areas, signal synchronization analysis and differentiated screening of monitored objects, the monitoring precision of the environmental electromagnetic intensity is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 A step diagram of a dynamic monitoring method based on distributed device power data according to an embodiment of the present invention;

[0058] Figure 2 A diagram showing the steps for determining a load impact period according to an embodiment of the present invention;

[0059] Figure 3 A diagram showing the steps for determining a signal radiation synchronization coefficient in a local area of ​​electromagnetic radiation according to an embodiment of the present invention;

[0060] Figure 4A flowchart of a method for monitoring environmental electromagnetic intensity selected for an embodiment of the present invention;

[0061] Figure 5 This is a system block diagram of a dynamic monitoring system based on distributed equipment power data according to an embodiment of the present invention. DETAILED DESCRIPTION

[0062] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0063] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0064] It should be noted that, in the description of the present invention, terms such as "upper", "lower", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0065] Furthermore, it should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted" and "connected" should be understood in a broad sense. For example, they may refer to fixed, detachable, or integral connections; mechanical or electrical connections; direct or indirect connections through an intermediate medium; or internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0066] See also Figure 1 As shown, it is a step diagram of a dynamic monitoring method based on distributed device power data according to an embodiment of the present invention. The dynamic monitoring method based on distributed device power data according to the present invention includes:

[0067] Step S100, predetermining the load impact cycle of each device in the environment during a historical operating period and the distribution location information of each device;

[0068] Specifically, the historical operating period in the present invention can be the operating period of the device within 24 hours, and the obtained distribution position information of the device is the position coordinates of the device based on the geodetic coordinate system with any corner in the environment as the coordinate origin.

[0069] Step S200: determining an electromagnetic radiation area of ​​each device based on the distribution location information, and determining a signal radiation synchronization coefficient of the electromagnetic radiation area according to load influence periods of several devices within the electromagnetic radiation area to determine a radiation state of the electromagnetic radiation area;

[0070] Step S300: determining a screening method for monitoring objects within the electromagnetic radiation local area based on the radiation status, wherein the screening method is to screen a single key monitoring object or screen several collaborative monitoring objects based on a comparison of electromagnetic signal strengths of each device in several frequency bands;

[0071] Specifically, the electromagnetic field signal in the present invention can be an analog signal or a digital signal. The electromagnetic signal strength can be the magnetic field strength generated by the device during operation. It can be measured using a Hall effect sensor placed around the device. For example, the magnetic field strength emitted by the device can be obtained at several positions 20 cm near the device, and the average value of the magnetic field strength at several positions is used as the final magnetic field strength of the device.

[0072] It can be understood that electromagnetic signals have different frequency bands, such as low-frequency bands. In the present invention, the low-frequency band can be divided into several frequency bands according to preset frequency intervals. For the low-frequency band of 10Hz to 100kHz, the frequency span of each frequency band can be divided into 1kHz.

[0073] Step S400: selecting a monitoring method for the environmental electromagnetic intensity based on the difference in the number of monitored objects within each electromagnetic radiation local area, wherein the monitoring method is to influence the anomalous period based on the load influence period mark of the key monitored object within each electromagnetic radiation local area, or to influence the anomalous period based on the load influence period mark of the key monitored object and the collaborative monitored object within each electromagnetic radiation local area;

[0074] Step S500: giving an alarm for the marked periods of impact on anomalies.

[0075] Specifically, distributed equipment within financial data processing centers, such as servers, switches, and routers, generate complex electromagnetic radiation during operation. The load conditions of these devices are closely related to financial trading activities. During peak trading periods, a large number of trading instructions pour in, and the equipment load rises sharply. Based on the analysis of historical data, we can clearly determine the load impact cycle of the equipment in different trading scenarios, which provides a basis for determining the load impact cycle.

[0076] Specifically, in the present invention, the start time and the end time of the period affecting the opposite sex can be displayed on a display and an early warning or broadcast can be issued through a buzzer to complete the alarm prompt for the period affecting the opposite sex.

[0077] Specifically, the device in the present invention may be a server in a financial transaction data center.

[0078] Specifically, see Figure 2 As shown, it is a step diagram of determining the load impact period according to an embodiment of the present invention. Determining the load impact period of each device in the environment includes:

[0079] Step S101, obtaining the load parameters corresponding to the start time and the end time of each device in the environment;

[0080] Exemplarily, the load parameter in the present invention can be the real-time power of the equipment, in watts, and the preset unit time period can be manually set according to the setting of the historical operating period. Preferably, when the historical operating period is set to 1 day, that is, 24 hours, the unit time period can be set to 30 minutes.

[0081] Step S102, calculating the absolute value of the load difference between the load parameter corresponding to the start time and the load parameter corresponding to the end time;

[0082] Step S103 : determining the unit time period during which the absolute value of the load difference exceeds a preset load threshold as the load impact period of the device.

[0083] Specifically, the value of the preset load threshold can be determined in advance by averaging the absolute values ​​of the load differences over several unit time periods. Preferably, the load threshold can be 15W.

[0084] Exemplarily, the historical operating period is set to 1 day (24 hours). According to the preferred setting, the preset unit time period is set to 30 minutes. That is, during this day, starting from 0:00, data collection is performed with every 30 minutes as a unit time period. For each 30-minute unit time period, the real-time power of the device at the start time and the end time is obtained. For example, in the unit time period of 0:00-0:30, the real-time power of the device at 0:00 is 300 watts, and the real-time power of the device at 0:30 is 320 watts. During the period from 0:30 to 1:00, the power consumption is 320 watts at 0:30 and 315 watts at 1:00. This continues for a total of 48 unit time periods throughout the day. The absolute value of the load difference between the real-time power consumption at the start and end of each unit time period is calculated. For the period from 0:00 to 0:30, the absolute value of the load difference is 320 - 300 = 20 watts. For the period from 0:30 to 1:00, the absolute value of the load difference is 315 - 320 = 5 watts. When the set load threshold is 15 watts, the load difference of 20 watts for the period from 0:00 to 0:30 exceeds the preset load threshold of 15 watts. Therefore, the 30-minute unit time period from 0:00 to 0:30 is determined to be a load impact period for the server. By evaluating each of the 48 unit time periods throughout the day, we can determine all load impact periods for this server throughout the day.

[0085] Specifically, the present invention calculates the difference in load parameters within a preset unit time period and compares it with the preset load threshold. It can accurately identify the period when the equipment load fluctuates significantly, avoiding taking all operating periods of the equipment into consideration and focusing only on the critical period that may have a significant impact on electromagnetic radiation, greatly improving the targeted monitoring.

[0086] Specifically, determining the electromagnetic radiation localization of each device includes:

[0087] Obtain the distribution location information of each device;

[0088] Determining the distance between each device and other devices, and determining an area formed by several devices whose distances meet the local construction condition as the electromagnetic radiation local area;

[0089] The local construction condition is that the distance does not exceed a preset distance threshold.

[0090] Specifically, the preset spacing threshold can be set according to the actual size parameters of the data center. Preferably, the spacing threshold can be the average of the length value and the width value multiplied by the value factor. The value factor can be set by a person skilled in the art. The smaller the value factor, the smaller the constructed electromagnetic radiation area. The value factor can be set to 0.15.

[0091] It is understandable that from the perspective of electromagnetics, when the distance between two devices is small, the electromagnetic fields they generate will undergo near-field coupling. According to Maxwell's equations, a changing electric field will generate a magnetic field, and a changing magnetic field will generate an electric field. The closer the distance between the devices, the stronger the mutual induction effect. In financial data processing centers, servers, switches and other equipment will generate complex alternating electromagnetic fields when working. The smaller the distance between devices, the more significant the mutual influence of their electromagnetic fields. Putting these devices in the same electromagnetic radiation area makes it easier to study the electromagnetic interaction between them, which conforms to the law of electromagnetic near-field coupling.

[0092] Specifically, the present invention obtains the equipment distribution location information and determines the electromagnetic radiation area based on the distance, so that the equipment that is closely spaced and has a greater mutual influence on electromagnetic radiation can be divided into an overall area. In this way, the monitoring can focus on these interrelated equipment, avoiding ineffective monitoring of scattered equipment with no obvious connection, making the monitoring work more targeted. By determining the electromagnetic radiation area, each area can be monitored and analyzed in a targeted manner, which can effectively reduce unnecessary monitoring points, avoid waste of resources, and improve monitoring efficiency.

[0093] Specifically, see Figure 3 As shown in FIG. 1 , which is a step diagram of determining the signal radiation synchronization coefficient of a local electromagnetic radiation area according to an embodiment of the present invention, the process of determining the signal radiation synchronization coefficient of the local electromagnetic radiation area includes:

[0094] Step S201, obtaining the start time corresponding to a number of load influence periods of each device in the electromagnetic radiation local area;

[0095] Step S202, sorting the start times of several load impact cycles of each device in time sequence and constructing an electromagnetic impact time series set;

[0096] Step S203: determine the number of moments in the electromagnetic influence timing set of the current device that are the same as the electromagnetic influence timing sets of other devices, calculate the average value of the ratios of several of the moment numbers to the total number of moments in the electromagnetic influence timing set of the current device, and determine the average value as the signal radiation synchronization coefficient.

[0097] For example, if there are devices A, B, and C in an electromagnetic radiation area, using the previous method for determining the load impact period, we can obtain the start times corresponding to several of their respective load impact periods;

[0098] The load impact period start times of device A are: 0:00, 2:00, 4:00, 6:00, 8:00, 10:00, 12:00, 14:00, 16:00, and 18:00.

[0099] The load impact period start times of device B are: 0:00, 2:00, 4:00, 6:00, 8:00, 10:00, 12:00, 14:00, 16:00, and 18:00.

[0100] The load impact period start times of device C are: 0:00, 2:00, 4:00, 6:00, 8:00, 10:00, 12:00, 14:00, 16:10, and 18:10.

[0101] The electromagnetic impact time series set of device A is: [0:00, 2:00, 4:00, 6:00, 8:00, 10:00, 12:00, 14:00, 16:00, 18:00].

[0102] The electromagnetic impact time series set of device B is: [0:00, 2:00, 4:00, 6:00, 8:00, 10:00, 12:00, 14:00, 16:00, 18:00].

[0103] The electromagnetic impact time series set of device C is: [0:00, 2:00, 4:00, 6:00, 8:00, 10:00, 12:00, 14:00, 16:10, 18:10].

[0104] Calculate the ratio of device A to device B:

[0105] The number of moments with the same time: 10 moments are the same, the ratio is 10÷10=1.

[0106] Then calculate the ratio of device A to device C:

[0107] The number of identical times is: 0:00, 2:00, 4:00, 6:00, 8:00, 10:00, and 12:00. Seven of these times are identical, so the ratio of device A to device C is 7÷10=0.7.

[0108] Calculate the ratio of device B to device C:

[0109] The number of identical times is: 0:00, 2:00, 4:00, 6:00, 8:00, 10:00, and 12:00. Seven of these times are identical, so the ratio of device B to device C is 7÷10=0.7.

[0110] Finally, calculate the signal radiation synchronization coefficient:

[0111] Signal radiation synchronization coefficient = (1+0.7+0.7) ÷ 3 = 0.8.

[0112] Specifically, determining the radiation state of the local electromagnetic radiation region includes:

[0113] According to the comparison result that the signal radiation synchronization coefficient meets the synchrotron radiation condition, determining that the radiation state of the electromagnetic radiation local area is a synchrotron radiation tendency state;

[0114] According to the comparison result that the signal radiation synchronization coefficient does not meet the synchrotron radiation condition, determining that the radiation state of the electromagnetic radiation local area is a non-synchrotron radiation tendency state;

[0115] The synchronization radiation condition is that the signal radiation synchronization coefficient exceeds a preset synchronization coefficient reference value.

[0116] Specifically, the value of the preset synchronization coefficient reference value is determined by calculating the average value of the signal radiation synchronization coefficients of several devices in the electromagnetic radiation local area. Preferably, the synchronization coefficient reference value can be set to 0.6.

[0117] Specifically, the present invention obtains the starting time of the equipment load impact cycle, constructs an electromagnetic impact time series set, and calculates the ratio average to determine the signal radiation synchronization coefficient. It can quantify the degree of synchronization of load fluctuations between devices, and determine the radiation state of the local electromagnetic radiation based on the comparison between the signal radiation synchronization coefficient and the preset synchronization coefficient reference value. For the local area with a tendency to synchronous radiation, we can focus on the overall radiation characteristics and potential interference problems; for the local area with a tendency to asynchronous radiation, we can adopt a more comprehensive monitoring and processing strategy to improve the targeted monitoring and management.

[0118] It is understandable that the operation of equipment has a certain regularity, especially under similar working environments and business needs. By analyzing the starting time of the equipment load impact cycle, the degree of synchronization of the equipment operation status can be reflected. When the starting time of the load impact cycle of multiple devices is similar or the same, it means that their working state changes are relatively consistent in time. If such changes of multiple devices are synchronized, the electromagnetic fields generated by them are also more likely to superimpose on each other or produce synergistic effects, thereby presenting a synchronous radiation tendency state. On the contrary, if the starting time of the load impact cycle of each device is very different, the electromagnetic fields generated by them interact more randomly, and it is difficult to form obvious synchronous radiation, which manifests as an asynchronous radiation tendency state.

[0119] Specifically, the screening methods for determining monitoring objects include:

[0120] If the radiation state of the local electromagnetic radiation area is a synchronous radiation tendency state, a unique key monitoring object is selected based on the comparison of the electromagnetic signal strength of each device in several frequency bands;

[0121] If the radiation state of the local electromagnetic radiation is an asynchronous radiation tendency state, a number of collaborative monitoring objects are selected based on the comparison of the electromagnetic signal strength of each device in a number of frequency bands.

[0122] Specifically, the process of selecting a single key monitoring object and selecting several coordinated monitoring objects includes:

[0123] Obtaining electromagnetic signal strengths corresponding to several frequency values ​​of each device in each frequency band, and determining an average value of the electromagnetic signal strengths corresponding to the frequency values ​​as the electromagnetic signal strength of the frequency band;

[0124] Calculate the average electromagnetic signal strength of each device in several frequency bands, and select the device with the largest average electromagnetic signal strength as the only key monitoring object;

[0125] Determine the device corresponding to the maximum electromagnetic signal strength in the same frequency band, and select the device corresponding to the maximum electromagnetic signal strength in each frequency band as the collaborative monitoring object.

[0126] It is understandable that in the state of synchrotron radiation tendency, the electromagnetic radiation of multiple devices is synchronized to a certain extent, which will produce superposition effects. According to the superposition principle of electromagnetics, the electromagnetic signal intensity will be relatively concentrated on certain devices. The device with the largest average electromagnetic signal intensity means that it contributes the most energy to the overall synchrotron radiation and has the greatest impact on the state of the entire electromagnetic radiation area. Therefore, taking it as a key monitoring object can most effectively reflect the state changes of the entire electromagnetic radiation area.

[0127] It is understandable that in the state of asynchronous radiation tendency, different devices may have strong electromagnetic signal strength in different frequency bands. The device corresponding to the maximum electromagnetic signal strength in each frequency band has the strongest radiation performance in that frequency band. Due to the dispersion of asynchronous radiation, a single device cannot represent the state of the entire electromagnetic radiation area. By screening out the devices corresponding to the maximum electromagnetic signal strength in each frequency band as collaborative monitoring objects, the changes in the local electromagnetic radiation can be comprehensively captured from multiple frequency angles.

[0128] Specifically, the present invention adopts different monitoring object screening methods according to the different radiation states of the local electromagnetic radiation area, avoiding indiscriminate monitoring of all equipment, and can concentrate resources to focus on monitoring key equipment or representative equipment, thereby improving monitoring efficiency. The screened key monitoring objects and collaborative monitoring objects can more accurately reflect the electromagnetic environment characteristics of the local electromagnetic radiation area. For the synchronous radiation tendency state, the key monitoring object can represent the synchronous radiation situation of the entire local area; for the asynchronous radiation tendency state, several collaborative monitoring objects reflect the complex electromagnetic radiation situation in the local area from different frequency bands. Through the local division of electromagnetic radiation, signal synchronization analysis and differentiated screening of monitoring objects, the monitoring precision of the environmental electromagnetic intensity is improved.

[0129] Specifically, see Figure 4 As shown in FIG. , which is a flow chart of selecting a monitoring method for environmental electromagnetic intensity according to an embodiment of the present invention, the process of selecting a monitoring method for environmental electromagnetic intensity includes:

[0130] Determine the number of monitored objects in each electromagnetic radiation area and calculate the standard deviation of the number of monitored objects;

[0131] According to the comparison result of the quantity standard deviation meeting the synchronization judgment condition, determining the marking method of marking the impact anomalous period according to the load impact period of the key monitoring object in each electromagnetic radiation local area;

[0132] According to the comparison result that the quantity standard deviation does not meet the synchronization judgment condition, determining the marking method of the load influence period marking of the key monitoring object and the collaborative monitoring object in each electromagnetic radiation local area;

[0133] The synchronization determination condition is that the quantity standard deviation does not exceed a preset quantity standard deviation threshold.

[0134] Specifically, the quantity standard deviation threshold N0 in the present invention can be determined in advance based on the average number N' of devices in several electromagnetic radiation local areas. The preset quantity standard deviation threshold N0=δ×N', δ is the quantity standard deviation threshold determination factor, and the value range of δ is [0.2,0.5]. Preferably, the value of δ is 0.25.

[0135] It is understandable that if the standard deviation of the quantity exceeds the preset threshold, it means that the number of monitoring objects in each electromagnetic radiation local area varies greatly. In this case, relying solely on key monitoring objects cannot fully capture the changes in electromagnetic radiation, and comprehensive monitoring is required in combination with collaborative monitoring objects.

[0136] Specifically, the process by which marking affects the opposite sex cycle includes:

[0137] Pre-acquire the load impact cycles of several key monitoring objects in the electromagnetic radiation local area and the load impact cycles of several coordinated monitoring objects in the electromagnetic radiation local area;

[0138] In the method of marking the influence heterogeneity period according to the load influence period of the key monitoring object, the load influence period with the largest number of overlaps among several load influence periods of the key monitoring object is selected and marked as the influence heterogeneity period;

[0139] In the method of marking the influence heterogeneous period according to the load influence period of the key monitoring object and the collaborative monitoring object, the load influence period whose overlapping number exceeds the preset number compared with the reference value among several load influence periods of the key monitoring object and the collaborative monitoring object is marked as the said influence heterogeneous period.

[0140] Specifically, the preset quantity comparison reference value of the present invention can be determined based on historical experimental data, and the average number of overlaps in the load influence periods of different key monitoring objects and collaborative monitoring objects is pre-stated, and the average number of overlaps is rounded to the integer to obtain the preset quantity comparison reference value. Preferably, a quantity comparison reference value is provided here, and the quantity comparison reference value can be 3.

[0141] For example, if there are three electromagnetic radiation localities: Locality A, Locality B, and Locality C;

[0142] Get the start time corresponding to the load impact period:

[0143] Local area A: only includes the key monitoring object A, and its load impact cycle start times are: 0:00, 3:00, 9:00, 15:30, and 21:00.

[0144] Local area B: includes collaborative monitoring objects B1, B2, and B3, and their load impact cycle start times are:

[0145] B1: 0:30, 3:00, 6:00, 9:00, 15:30

[0146] B2: 3:00, 9:00, 12:30, 15:30, 22:30

[0147] B3: 3:00, 6:30, 9:30, 18:30, 21:00

[0148] Local area C: only includes the key monitoring object C, and its load impact period starts at 8:00, 10:00, 15:30, 16:00, and 20:00.

[0149] In the method of marking the influence heterosexual period according to the load influence period of the key monitoring object, the starting time of the load influence period of the key monitoring object A in local area A and the key monitoring object C in local area C are compared together; it can be seen that the load influence period corresponding to the starting time 15:30 has the largest number of overlaps, which is 2, so the load influence period corresponding to the starting time 15:30 is marked as the influence heterosexual period.

[0150] In the method of marking the influence period of heterogeneity according to the load influence period of the key monitoring object and the collaborative monitoring object, the start time of the load influence period of the key monitoring object A in local area A, the collaborative monitoring objects B1, B2, B3 in local area B and the key monitoring object C in local area C are compared together. It can be seen that the number of overlapped load influence periods with the start time of 3:00 is 4, the number of overlapped load influence periods with the start time of 9:00 is 3, the number of overlapped load influence periods with the start time of 15:30 is 4, and the number of overlapped load influence periods with the start time of 21:00 is 2;

[0151] When the quantity comparison reference value is set to 3, the load influence periods with the start times of 3:00 and 15:30 are selected as the influence periods of the opposite sex.

[0152] Specifically, the present invention can determine the appropriate monitoring method according to the actual conditions of different local areas by calculating the standard deviation of the number of monitored objects in each electromagnetic radiation local area. When the standard deviation of the number does not exceed the threshold, it indicates that the number of monitored objects in each local area is relatively balanced. At this time, the efficiency can be improved by selecting the load impact cycle mark affecting the heterogeneous period according to the key monitored object; when the standard deviation of the number exceeds the threshold, it indicates that the number of monitored objects in each local area is quite different. Comprehensive consideration of the load impact cycle mark affecting the heterogeneous period of the key monitored objects and the collaborative monitored objects can more comprehensively reflect the actual conditions of each local area. Through the division of electromagnetic radiation local areas, signal synchronization analysis and differentiated screening of monitored objects, the monitoring precision of the environmental electromagnetic intensity is improved.

[0153] See also Figure 5 As shown in FIG, which is a system block diagram of a dynamic monitoring system based on distributed device power data according to an embodiment of the present invention, the present invention further provides a dynamic monitoring system based on distributed device power data, comprising:

[0154] An information extraction unit is used to determine the load impact period and the distribution location information of each device;

[0155] a distinguishing unit connected to the information extraction unit, configured to determine the electromagnetic radiation localization of each device and the signal radiation synchronization coefficient of the electromagnetic radiation localization, and determine the radiation state of the electromagnetic radiation localization according to the signal radiation synchronization coefficient;

[0156] an electromagnetic monitoring unit, connected to the information extraction unit and the differentiation unit, respectively, for determining a screening method for monitoring objects within the electromagnetic radiation local area based on the radiation state, and selecting a monitoring method for the environmental electromagnetic intensity according to the difference in the number of monitoring objects within each electromagnetic radiation local area;

[0157] The prompt unit is connected to the electromagnetic monitoring unit and is used to issue an alarm prompt for several anisotropic periods of the mark.

[0158] Specifically, the present invention does not limit the information extraction unit, which includes a data storage device for storing the load impact period and the distribution location information of each device, which will not be described in detail here.

[0159] Specifically, the present invention does not limit the differentiation unit, which itself can be constructed using logic components. The logic components can be field programmable logic components, microprocessors, processors used in computers, etc., which will not be described in detail here.

[0160] Specifically, the present invention does not limit the electromagnetic monitoring unit, which can receive the electromagnetic magnetic field strength detected by the Hall element and select the monitoring method of the environmental electromagnetic strength based on the received data and signals, which will not be repeated here.

[0161] Specifically, the present invention does not limit the prompt unit, which can be a display and a buzzer. The display is used to display the starting time of the opposite sex cycle, and the buzzer is used to make a buzzer or play a prompt message. This is existing technology and will not be repeated here.

[0162] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

[0163] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that the present invention is susceptible to various modifications and variations. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. A dynamic monitoring method based on distributed equipment power data, characterized in that: include: Predetermine the load impact cycle of each device in the environment during the historical operating period and the distribution location information of each device; Determining the load impact period of each device in the environment includes obtaining a load parameter corresponding to a start time and an end time of a preset unit time period of each device in the environment; Calculate the absolute value of the load difference between the load parameter corresponding to the start time and the load parameter corresponding to the end time; Determine the unit time period during which the absolute value of the load difference exceeds the preset load threshold as the load impact period of the equipment; Determining the electromagnetic radiation local area of ​​each device based on the distribution location information, and determining the signal radiation synchronization coefficient of the electromagnetic radiation local area according to the load influence period of several devices in the electromagnetic radiation local area to determine the radiation state of the electromagnetic radiation local area; Determining the local electromagnetic radiation area of ​​each device includes obtaining the distribution location information of each device; Determining the distance between each device and other devices, and determining an area formed by several devices whose distances meet the local construction condition as the electromagnetic radiation local area; Wherein, the local construction condition is that the distance does not exceed a preset distance threshold; The process of determining the signal radiation synchronization coefficient of the electromagnetic radiation local area includes obtaining the start time corresponding to a plurality of load influence cycles of each device in the electromagnetic radiation local area; Sort the start times of several load impact cycles of each device in time sequence and construct an electromagnetic impact time series set; determining the number of moments that are the same as the electromagnetic influence time series set of the current device and the electromagnetic influence time series sets of other devices, calculating an average value of ratios of several of the moment numbers to the total number of moments in the electromagnetic influence time series set of the current device, and determining the average value as the signal radiation synchronization coefficient; Determine a screening method for monitoring objects within the electromagnetic radiation local area based on the radiation state, wherein the screening method is to screen a single key monitoring object or screen several collaborative monitoring objects based on a comparison of electromagnetic signal strengths of each device in several frequency bands; A monitoring method for environmental electromagnetic intensity is selected based on the difference in the number of monitored objects in each electromagnetic radiation local area. The monitoring method is to influence the heterogeneous period according to the load influence period mark of the key monitored object in each electromagnetic radiation local area, or to influence the heterogeneous period according to the load influence period mark of the key monitored object and the collaborative monitored object in each electromagnetic radiation local area; Several marked periods of influence on the opposite sex will be given an alarm prompt.

2. The dynamic monitoring method based on distributed equipment power data according to claim 1 is characterized in that: Determining the radiation state of the local electromagnetic radiation region includes: According to the comparison result that the signal radiation synchronization coefficient meets the synchrotron radiation condition, determining that the radiation state of the electromagnetic radiation local area is a synchrotron radiation tendency state; According to the comparison result that the signal radiation synchronization coefficient does not meet the synchrotron radiation condition, determining that the radiation state of the electromagnetic radiation local area is a non-synchrotron radiation tendency state; The synchronization radiation condition is that the signal radiation synchronization coefficient exceeds a preset synchronization coefficient reference value.

3. The dynamic monitoring method based on distributed equipment power data according to claim 2 is characterized in that: Screening methods for determining monitoring targets include: If the radiation state of the local electromagnetic radiation area is a synchronous radiation tendency state, a unique key monitoring object is selected based on the comparison of the electromagnetic signal strength of each device in several frequency bands; If the radiation state of the local electromagnetic radiation is an asynchronous radiation tendency state, a number of collaborative monitoring objects are selected based on the comparison of the electromagnetic signal strength of each device in a number of frequency bands.

4. The dynamic monitoring method based on distributed equipment power data according to claim 3 is characterized in that: The process of selecting a single key monitoring object and selecting several collaborative monitoring objects includes: Obtaining electromagnetic signal strengths corresponding to several frequency values ​​of each device in each frequency band, and determining an average value of the electromagnetic signal strengths corresponding to the frequency values ​​as the electromagnetic signal strength of the frequency band; Calculate the average electromagnetic signal strength of each device in several frequency bands, and select the device with the largest average electromagnetic signal strength as the only key monitoring object; Determine the device corresponding to the maximum electromagnetic signal strength in the same frequency band, and select the device corresponding to the maximum electromagnetic signal strength in each frequency band as the collaborative monitoring object.

5. The dynamic monitoring method based on distributed equipment power data according to claim 4 is characterized in that: The process of selecting a monitoring method for environmental electromagnetic intensity includes: Determine the number of monitored objects in each electromagnetic radiation area and calculate the standard deviation of the number of monitored objects; According to the comparison result of the quantity standard deviation meeting the synchronization judgment condition, determining the marking method of marking the impact anomalous period according to the load impact period of the key monitoring object in each electromagnetic radiation local area; According to the comparison result that the quantity standard deviation does not meet the synchronization judgment condition, determining the marking method of the load influence period marking of the key monitoring object and the collaborative monitoring object in each electromagnetic radiation local area; The synchronization determination condition is that the quantity standard deviation does not exceed a preset quantity standard deviation threshold.

6. The dynamic monitoring method based on distributed equipment power data according to claim 5 is characterized in that: The process by which marking affects the opposite sex cycle includes: Pre-acquire the load impact cycles of several key monitoring objects in the electromagnetic radiation local area and the load impact cycles of several coordinated monitoring objects in the electromagnetic radiation local area; In the method of marking the influence heterogeneity period according to the load influence period of the key monitoring object, the load influence period with the largest number of overlaps among several load influence periods of the key monitoring object is selected and marked as the influence heterogeneity period; In the method of marking the influence heterogeneous period according to the load influence period of the key monitoring object and the collaborative monitoring object, the load influence period whose overlapping number exceeds the preset number compared with the reference value among several load influence periods of the key monitoring object and the collaborative monitoring object is marked as the said influence heterogeneous period.

7. A dynamic monitoring system based on distributed device power data, used to execute the dynamic monitoring method based on distributed device power data according to any one of claims 1 to 6, characterized in that: include: An information extraction unit, used to determine the load impact period and the distribution location information of each device; a distinguishing unit connected to the information extraction unit, configured to determine the electromagnetic radiation localization of each device and the signal radiation synchronization coefficient of the electromagnetic radiation localization, and determine the radiation state of the electromagnetic radiation localization according to the signal radiation synchronization coefficient; an electromagnetic monitoring unit, connected to the information extraction unit and the differentiation unit, respectively, for determining a screening method for monitoring objects within the electromagnetic radiation local area based on the radiation state, and selecting a monitoring method for the environmental electromagnetic intensity according to the difference in the number of monitoring objects within each electromagnetic radiation local area; The prompt unit is connected to the electromagnetic monitoring unit and is used to issue an alarm prompt for several anisotropic periods of the mark.

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