Electromagnetic radiation environment analysis method and system

Abstract

The present application provides an electromagnetic radiation environment analysis method and system, which belongs to the field of electromagnetic radiation monitoring and is used to solve the problem of poor electromagnetic radiation environment monitoring and analysis solutions in related technologies. In this method and system, a monitoring terminal is used to collect radiation intensity data of a target monitoring point. The server intelligently determines the startup interval of the monitoring terminal based on the specific historical radiation intensity data at the current moment in combination with a preset calculation model. That is, after each startup of the monitoring terminal, it can reasonably infer the timing of the next startup of the monitoring terminal, thereby enabling the monitoring of the radiation intensity data of the target monitoring point and reasonably determining the startup time interval of the monitoring terminal, which is conducive to timely monitoring when the radiation intensity level of the target monitoring point changes.

Description

Technical Field

[0001] The present application relates to the field of electromagnetic radiation monitoring, and in particular to an electromagnetic radiation environment analysis method and system. Background Art

[0002] Electromagnetic radiation sources such as medium and short wave radio and television stations, substations, etc. will generate electromagnetic radiation, which will be harmful to the human body when it reaches a certain intensity. In order to avoid the harm that electromagnetic radiation may cause to people, it is necessary to monitor and analyze the electromagnetic radiation environment. Summary of the invention

[0003] The present application provides an electromagnetic radiation environment analysis method and system, which can monitor and analyze the electromagnetic radiation environment, thereby helping to avoid possible harm to personnel caused by electromagnetic radiation.

[0004] In a first aspect, the present application provides an electromagnetic radiation environment analysis method. The method is applied to a server, the server is connected to a monitoring terminal, the monitoring terminal is used to collect radiation intensity data of a target monitoring point when it is started, the radiation intensity data carries a monitoring timestamp, the server is used to receive the radiation intensity data, control the startup interval of the monitoring terminal, and determine the radiation intensity level according to the radiation intensity data;

[0005] The method comprises: after controlling the monitoring terminal to start,

[0006] Acquire radiation intensity data within a first preset time period before the current moment, and acquire radiation intensity data within a preset number of second preset time periods starting at a specified moment, wherein the specified moment and the current moment are periodic moments under a preset periodic rule;

[0007] Substitute the radiation intensity data within a first preset time period before the current moment and the radiation intensity data within a plurality of second preset time periods with the designated moment as the intermediate moment into a preset calculation model to obtain the start interval duration.

[0008] By adopting the above technical solution, it is possible to monitor the radiation intensity data of the target monitoring point and reasonably determine the start-up time interval of the monitoring terminal, which is conducive to timely monitoring when the radiation intensity level of the target monitoring point changes.

[0009] Furthermore, the preset calculation model includes:

[0010] ,

[0011] In the formula, is the start interval duration, The third preset duration, The radiation intensity data collected when the monitoring terminal (110) was last started, and They are The lower limit and upper limit of the radiation intensity interval corresponding to the radiation intensity level, is the pre-acquired radiation intensity change rate, Indicates that z takes the minimum value of x and y.

[0012] Furthermore, the method for obtaining the radiation intensity change speed includes:

[0013] Determine the basic change speed according to the radiation intensity data within the second preset time period with the specified time as the starting time;

[0014] Determine a first influence coefficient according to radiation intensity data within a first preset time period before the current moment;

[0015] Determine a second influence coefficient according to nearly a preset number of radiation intensity data within a second preset time period starting at the specified time;

[0016] The radiation intensity change rate is determined according to the basic change rate, the first influence coefficient and the second influence coefficient.

[0017] Further, determining the basic change speed according to the radiation intensity data within the second preset time period starting at the specified time includes:

[0018] The average change rate of the radiation intensity of the most recent radiation intensity data within the second preset time period with the designated moment as the basic change rate is calculated.

[0019] Further, determining the first influence coefficient according to the radiation intensity data within a first preset time period before the current moment includes:

[0020] Assume that there are n+1 radiation intensity data within the first preset time before the current moment, and the i-th radiation intensity data is ,in, The monitoring timestamps are getting farther away from the current moment;

[0021] Calculate the radiation change speed of two adjacent radiation intensity data. There are n radiation change speeds. Let the i-th radiation change speed be ,but , where Indicates the duration between the monitoring timestamp of the i-th radiation intensity data and the monitoring timestamp of the i+1-th radiation intensity data;

[0022] judge Are they both greater than zero or not greater than zero?

[0023] If so, then ,otherwise, ;

[0024] In the formula, is the first influence coefficient, is the basic change speed, p is the number of radiation change speeds greater than zero, q is the number of radiation change speeds not greater than zero, and a and b are both preset constants greater than zero.

[0025] Further, determining the second influence coefficient according to nearly a preset number of radiation intensity data within a second preset time period starting at the specified time includes:

[0026] Relative to each second preset time length starting at the designated time, a radiation change value and a monitoring interval time length are determined according to each two adjacent radiation intensity data, wherein the radiation change value is equal to the result of subtracting the previous radiation intensity value from the subsequent radiation intensity value;

[0027] Determine the second impact coefficient based on all radiation change values ​​and monitoring interval duration, , where is the second influence coefficient, is the basic change rate, e represents the number of radiation change values ​​greater than zero, and g represents the number of radiation change values ​​not greater than zero. Indicates the monitoring interval length corresponding to the radiation change value greater than zero, Indicates the monitoring interval duration corresponding to the radiation change value not greater than zero, where c and d are both preset constants greater than zero.

[0028] Further, determining the radiation intensity change rate according to the basic change rate, the first influence coefficient and the second influence coefficient includes:

[0029] ,

[0030] In the formula, is the basic change speed, is the first influence coefficient, is the second influence coefficient.

[0031] In the second aspect, the present application provides an electromagnetic radiation environment analysis system. The system includes a server and a monitoring terminal, wherein the monitoring terminal is used to collect radiation intensity data of a target monitoring point when starting up, the radiation intensity data carries a monitoring timestamp, and the server is used to receive the radiation intensity data, control the start-up interval duration of the monitoring terminal, and determine the radiation intensity level according to the radiation intensity data;

[0032] The server is further configured to execute any one of the methods described in the first aspect above.

[0033] In summary, this application at least has the following beneficial effects:

[0034] Provided are an electromagnetic radiation environment analysis method and system, which can realize the analysis of the electromagnetic radiation environment and are conducive to timely discovering changes in the radiation intensity level of a target monitoring point with a smaller monitoring frequency.

[0035] It should be understood that the contents described in the Summary of the Invention are not intended to limit the key or important features of the embodiments of the present application, nor are they intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The above and other features, advantages and aspects of the embodiments of the present application will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. In the accompanying drawings, the same or similar reference numerals represent the same or similar elements, wherein:

[0037] Figure 1 A block diagram of an electromagnetic radiation environment analysis system in an embodiment of the present application is shown;

[0038] Figure 2 A flow chart of an electromagnetic radiation environment analysis method in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0039] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0040] In addition, the term "and / or" in this article is only a description of the association relationship between the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0041] The present application provides an electromagnetic radiation environment analysis method and system, which can realize the analysis of the electromagnetic radiation environment, and is conducive to timely discovering changes in the radiation intensity level of a target monitoring point with a smaller monitoring frequency.

[0042] In a first aspect, the present application provides an electromagnetic radiation environment analysis system.

[0043] Figure 1 A block diagram of an electromagnetic radiation environment analysis system in an embodiment of the present application is shown.

[0044] Reference Figure 1 The system includes a server 120 and a monitoring terminal 110. There can be one or more monitoring terminals 110, but only one is shown in the figure.

[0045] The monitoring terminal 110 is used to collect radiation intensity data of the target monitoring point at startup, and the radiation intensity data carries a monitoring timestamp. The monitoring terminal 110 can be specifically selected as an electromagnetic radiation monitor, which can be configured at the target monitoring point and collect electromagnetic radiation to obtain the radiation intensity data of the target monitoring point. The monitoring terminal 110 is connected to the server 120 through network communication, and the real-time time is obtained through the network. When collecting radiation intensity data, the monitoring terminal 110 will synchronously record the collection time and send it to the server 120 together with the radiation intensity data in the form of a monitoring timestamp.

[0046] The server 120 is used to receive the radiation intensity data, control the startup interval duration of the monitoring terminal 110, and determine the radiation intensity level according to the radiation intensity data. The server 120 is connected to the monitoring terminal 110 in communication, so it can receive the radiation intensity data. The server 120 can control the startup interval duration of the monitoring terminal 110. The monitoring terminal 110 collects the radiation intensity data of the target monitoring point after startup and automatically shuts down after the collection is completed. The server 120 stores a preset radiation intensity level table, which includes a comparison relationship between radiation intensity data and radiation intensity levels. The radiation intensity level table covers all possible radiation intensity data, that is, according to each radiation intensity data, only one radiation intensity level can be determined. It can also be understood that each radiation intensity level corresponds to a radiation intensity interval, and the union of all radiation intensity intervals constitutes all possible complete sets of radiation intensity levels.

[0047] The server 120 controls the startup interval of the monitoring terminal 110 to intelligently predict the timing of the next startup immediately after the previous startup, that is, to intelligently determine the startup interval between the previous startup and the next startup. The algorithm for the server 120 to intelligently determine the startup interval of the monitoring terminal 110 can refer to the disclosure of the second aspect of this application.

[0048] In a second aspect, the present application provides a method for analyzing an electromagnetic radiation environment. The method can be Figure 1 The server 120 executes in.

[0049] Figure 2A flow chart of an electromagnetic radiation environment analysis method in an embodiment of the present application is shown.

[0050] Reference Figure 2 , the method specifically comprises the following steps:

[0051] S210: Acquire radiation intensity data within a first preset time period before the current moment, and acquire radiation intensity data within a preset number of second preset time periods starting at the designated moment.

[0052] The specified time and the current time are periodic times under a preset periodic rule.

[0053] The first preset duration and the second preset duration are both preset on the server 120. The preset periodic rule may be, for example, a day, a week, a month, a quarter, or a year, and the periodic moments under the preset periodic rule may be, for example, the same moment on different days. For example, the current moment is 10:00, and the last three designated moments are 10:00 yesterday, the day before yesterday, and the day before yesterday. For example, the current moment is 16:00 on Tuesday of the first week of March and the preset periodic rule is January, and the last two designated moments are 16:00 on Tuesday of the first week of February and 16:00 on Tuesday of the first week of January. In short, after the preset periodic rule and the preset number are determined, the designated moment can be determined, and the second preset duration with a designated moment as the starting moment can be determined accordingly.

[0054] S220: Substitute the radiation intensity data within a first preset time period before the current moment and the radiation intensity data within a plurality of second preset time periods with the designated moment as the intermediate moment into a preset calculation model to obtain the start interval duration.

[0055] In the method of this step, the preset calculation model includes:

[0056] ,

[0057] In the formula, is the start interval duration, The third preset duration, The radiation intensity data collected when the monitoring terminal (110) was last started, and They are The lower limit and upper limit of the radiation intensity interval corresponding to the radiation intensity level, is the pre-acquired radiation intensity change rate, Indicates that z takes the minimum value of x and y.

[0058] Specifically, the method for obtaining the radiation intensity change rate includes: determining the basic change rate based on the radiation intensity data within the most recent second preset time period starting at the specified moment; determining the first influence coefficient based on the radiation intensity data within the first preset time period before the current moment; determining the second influence coefficient based on the radiation intensity data within a nearly preset number of second preset time periods starting at the specified moment; determining the radiation intensity change rate based on the basic change rate, the first influence coefficient and the second influence coefficient.

[0059] Among them, determining the basic change rate based on the most recent radiation intensity data within a second preset time period starting at a specified moment includes: calculating the average change rate of the radiation intensity of the most recent radiation intensity data within the second preset time period starting at a specified moment as the basic change rate.

[0060] The method of determining the first influence coefficient according to the radiation intensity data within the first preset time period before the current moment includes: assuming that there are n+1 radiation intensity data within the first preset time period before the current moment, and the i-th radiation intensity data is ,in, The monitoring timestamps of are farther away from the current moment; the radiation change speed of two adjacent radiation intensity data is calculated. There are n radiation change speeds. Let the i-th radiation change speed be ,but , where Indicates the duration between the monitoring timestamp of the i-th radiation intensity data and the monitoring timestamp of the i+1-th radiation intensity data; Are they both greater than zero or not greater than zero? If so, then ,otherwise, ; In the formula, is the first influence coefficient, is the basic change speed, p is the number of radiation change speeds greater than zero, q is the number of radiation change speeds not greater than zero, and a and b are both preset constants greater than zero.

[0061] The method of determining the second influence coefficient according to the radiation intensity data within the second preset time period starting at the specified time comprises: relative to each second preset time period starting at the specified time, determining a radiation change value and a monitoring interval duration according to each two adjacent radiation intensity data, wherein the radiation change value is equal to the result of subtracting the previous radiation intensity value from the subsequent radiation intensity value; determining the second influence coefficient according to all radiation change values ​​and monitoring interval durations, , where is the second influence coefficient, is the basic change rate, e represents the number of radiation change values ​​greater than zero, and g represents the number of radiation change values ​​not greater than zero. Indicates the monitoring interval length corresponding to the radiation change value greater than zero, Indicates the monitoring interval duration corresponding to the radiation change value not greater than zero, where c and d are both preset constants greater than zero.

[0062] Determining the radiation intensity change rate according to the basic change rate, the first influence coefficient and the second influence coefficient comprises: , where is the basic change speed, is the first influence coefficient, is the second influence coefficient.

[0063] Based on the above content, the startup interval duration of the monitoring terminal 110 of each target monitoring point can be determined, and the time when the target monitoring point was last started is known, so the time when the monitoring terminal 110 will be started next time can be calculated. The server 120 can control the startup of the monitoring terminal 110 at the calculated next startup time, so that the monitoring terminal 110 can collect the radiation intensity data of the target monitoring point in time. This method is based on a reasonable intelligent algorithm, and can promptly start the detection terminal for the next monitoring when the radiation intensity data of the target monitoring point exceeds the radiation intensity level of the previous radiation intensity data, thereby promptly discovering the change in the radiation intensity level of the target monitoring point, which is conducive to timely and accurate determination of the radiation intensity level of the target monitoring point to avoid possible harm to personnel caused by electromagnetic radiation.

[0064] It should be understood that this method is essentially a machine learning model. The parameters in the machine learning model can be fed back and trained according to the degree to which the radiation intensity data exceeds the boundary of the previous radiation intensity level. The trainable parameters include, for example, the first preset duration, the second preset duration, the preset periodic rule, the third preset duration, the radiation intensity interval corresponding to the radiation intensity level, a, b, c, d, etc. During long-term use, the parameters of the machine learning model are trained, so that the method can more reasonably, timely and accurately determine the start-up timing of the monitoring terminal 110 of each target monitoring point, thereby facilitating timely detection of changes in electromagnetic radiation levels at a lower monitoring cost, and avoiding possible harm to personnel caused by electromagnetic radiation.

[0065] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the embodiments of the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present application.

[0066] In summary, this application at least has the following beneficial effects:

[0067] Provided are an electromagnetic radiation environment analysis method and system, which can realize the analysis of the electromagnetic radiation environment and are conducive to timely discovering changes in the radiation intensity level of a target monitoring point with a smaller monitoring frequency.

[0068] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the aforementioned disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in this application (but not limited to) by each other to form a technical solution.

Claims

1. A method for analyzing an electromagnetic radiation environment, characterized in that: Applied to a server (120), the server (120) being connected to a monitoring terminal (110), the monitoring terminal (110) being used to collect radiation intensity data of a target monitoring point when started, the radiation intensity data carrying a monitoring timestamp, the server (120) being used to receive the radiation intensity data, control the start-up interval duration of the monitoring terminal (110), and determine a radiation intensity level according to the radiation intensity data; The method comprises: after controlling the monitoring terminal (110) to start, Acquire radiation intensity data within a first preset time period before the current moment, and acquire radiation intensity data within a preset number of second preset time periods starting at a specified moment, wherein the specified moment and the current moment are periodic moments under a preset periodic rule; Substitute the radiation intensity data within a first preset time period before the current moment and the radiation intensity data within a plurality of second preset time periods with the designated moment as the intermediate moment into a preset calculation model to obtain the start interval duration.

2. The method according to claim 1, characterized in that: The preset calculation model includes: ， In the formula, is the start interval duration, The third preset duration, The radiation intensity data collected when the monitoring terminal (110) was last started, and They are The lower limit and upper limit of the radiation intensity interval corresponding to the radiation intensity level, is the pre-acquired radiation intensity change rate, Indicates that z takes the minimum value of x and y.

3. The method according to claim 2, characterized in that The method for obtaining the radiation intensity change speed includes: Determine the basic change speed according to the radiation intensity data within the second preset time period with the specified time as the starting time; Determine a first influence coefficient according to radiation intensity data within a first preset time period before the current moment; Determine a second influence coefficient according to nearly a preset number of radiation intensity data within a second preset time period starting at the specified time; The radiation intensity change rate is determined according to the basic change rate, the first influence coefficient and the second influence coefficient.

4. The method according to claim 3, characterized in that Determining the basic change rate according to the radiation intensity data within the second preset time period starting at the specified time includes: The average change rate of the radiation intensity of the most recent radiation intensity data within the second preset time period with the designated moment as the basic change rate is calculated.

5. The method according to claim 3, characterized in that: Determining the first influence coefficient according to the radiation intensity data within a first preset time period before the current moment includes: Assume that there are n+1 radiation intensity data within the first preset time before the current moment, and the i-th radiation intensity data is ,in, The monitoring timestamps are getting farther away from the current moment; Calculate the radiation change speed of two adjacent radiation intensity data. There are n radiation change speeds. Let the i-th radiation change speed be ,but , where Indicates the duration between the monitoring timestamp of the i-th radiation intensity data and the monitoring timestamp of the i+1-th radiation intensity data; judge Are they both greater than zero or not greater than zero? If so, then ,otherwise, ; In the formula, is the first influence coefficient, is the basic change speed, p is the number of radiation change speeds greater than zero, q is the number of radiation change speeds not greater than zero, and a and b are both preset constants greater than zero.

6. The method according to claim 3, characterized in that: Determining the second influence coefficient according to nearly a preset number of radiation intensity data within a second preset time period starting at the specified time includes: Relative to each second preset time length starting at the designated time, a radiation change value and a monitoring interval time length are determined according to each two adjacent radiation intensity data, wherein the radiation change value is equal to the result of subtracting the previous radiation intensity value from the subsequent radiation intensity value; Determine the second impact coefficient based on all radiation change values ​​and monitoring interval duration, , where is the second influence coefficient, is the basic change rate, e represents the number of radiation change values ​​greater than zero, and g represents the number of radiation change values ​​not greater than zero. Indicates the monitoring interval length corresponding to the radiation change value greater than zero, Indicates the monitoring interval duration corresponding to the radiation change value not greater than zero, where c and d are both preset constants greater than zero.

7. The method according to claim 5, characterized in that Determining the radiation intensity change rate according to the basic change rate, the first influence coefficient and the second influence coefficient comprises: ， In the formula, is the basic change speed, is the first influence coefficient, is the second influence coefficient.

8. An electromagnetic radiation environment analysis system, characterized in that: The invention comprises a server (120) and a monitoring terminal (110), wherein the monitoring terminal (110) is used to collect radiation intensity data of a target monitoring point when starting up, the radiation intensity data carrying a monitoring timestamp, and the server (120) is used to receive the radiation intensity data, control the start-up interval duration of the monitoring terminal (110), and determine the radiation intensity level according to the radiation intensity data; The server (120) is further configured to execute the method according to any one of claims 1 to 7.

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