Monitoring equipment point distribution method and system of medium-wave broadcast transmitter

Abstract

The invention discloses a monitoring equipment distribution method and system for a medium-wave broadcast transmitter, and the method comprises the steps: obtaining a signal coverage area of the medium-wave broadcast transmitter, and determining a distribution line of monitoring equipment; and carrying out monitoring equipment preset distribution based on the signal coverage area of the medium-wave broadcast transmitter. According to the invention, monitoring equipment can be intuitively arranged in a coverage area by using a digital twinborn technology for a worker to understand and analyze, a medium-wave broadcast transmitter is used for transmitting a signal to analyze the signal intensity of a monitoring equipment distribution position, and when a monitoring value is 0, two conditions exist: one condition is that normal signal attenuation causes 0, and the other condition is that normal signal attenuation causes 0; according to the method, the area with shielding interference can be intelligently analyzed through data, shielding removal optimization is carried out on the area with shielding interference, arrangement by workers is more convenient, and the arrangement efficiency of point locations in real life is also improved.

Description

Technical Field

[0001] The present invention relates to the technical field of wireless signal monitoring, and in particular to a method and system for distributing monitoring equipment of a medium wave broadcast transmitter. Background Art

[0002] Medium wave broadcast transmitter is a transmitting device used in broadcasting, which can convert audio signals into electromagnetic waves and send them out through antennas to achieve the transmission of broadcast signals. However, the propagation of medium wave broadcast signals is affected by many factors.

[0003] In real life, most neural network systems are used to analyze data to determine the location of monitoring equipment. However, this method is not intuitive and cannot allow staff to understand real-time monitoring information. When the monitoring value of the monitoring equipment is zero, there is a lack of systematic analysis, and the monitoring points cannot be optimized, making it difficult to meet the needs of staff. Summary of the invention

[0004] In order to solve the above technical problems, a method and system for distributing monitoring equipment for a medium wave broadcast transmitter are provided. The technical solution solves the problem proposed in the above background technology that most of the real-life data are analyzed by a neural network system to obtain the location of the monitoring equipment. However, this method is not intuitive and cannot allow the staff to understand the real-time monitoring information well. Moreover, when the monitoring value of the monitoring equipment is zero, there is a lack of systematic analysis, and the monitoring points cannot be optimized.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0006] A method for distributing monitoring equipment of a medium wave broadcast transmitter, comprising:

[0007] Obtain the signal coverage area of ​​the medium wave broadcast transmitter and determine the layout of the monitoring equipment;

[0008] Preset monitoring equipment locations based on the signal coverage area of ​​the medium wave broadcast transmitter;

[0009] Build a model for monitoring equipment deployment in the coverage area based on digital twin technology;

[0010] Analyze the locations of monitoring equipment within the model to determine the signal strength at the locations of monitoring equipment;

[0011] Optimize the location of monitoring equipment based on signal strength.

[0012] Preferably, the steps of obtaining the signal coverage area of ​​the medium wave broadcast transmitter and determining the layout of the monitoring equipment specifically include the following steps:

[0013] Determine the distance between the medium wave broadcast transmitter and the farthest point of signal transmission, recorded as D1;

[0014] Draw a circle with the medium wave broadcast transmitter as the center and D1 as the radius;

[0015] Divide the circle into several groups of sector-shaped areas according to the same angle;

[0016] Mark the midpoints of the arc edges of several groups of fan-shaped areas, connect the midpoints of the arc edges and the location points of the medium wave broadcast transmitters, and record them as the layout lines of the monitoring equipment.

[0017] Furthermore, the distance between the medium wave broadcast transmitter and the farthest point of signal transmission is determined, which is recorded as D1. In real life, the signal value is usually 0 in advance due to normal signal attenuation loss. Therefore, the maximum D1 is used as a reference value so that the area can better reflect the signal attenuation and help staff conduct analysis.

[0018] Preferably, the pre-determining of monitoring equipment points based on the signal coverage area of ​​the medium wave broadcast transmitter specifically includes the following steps:

[0019] Determine the distance between the monitoring device and the farthest point in the receiving range, denoted as D2;

[0020] Deploy several groups of monitoring equipment on the deployment line;

[0021] Number several groups of monitoring equipment, record them as 1, 2, 3, ... n;

[0022] The locations of several groups of monitoring equipment are:

[0023]

[0024] In the formula, n is the number of the monitoring equipment;

[0025] Filter out the position points in the fan-shaped area that are not within the receiving range of the monitoring equipment and record them as defect points;

[0026] Supplement monitoring equipment for defective points.

[0027] Furthermore, through D1 and D2, monitoring equipment can be well deployed for each sector area, and since there is a gap between the two circles, the gap is a defect point, which makes it impossible to monitor, so it is necessary to add it to ensure that each sector area can be monitored.

[0028] Preferably, the specific steps of constructing a model for distributing monitoring equipment in the coverage area based on digital twin technology are as follows:

[0029] Use drones to collect real-time images of the signal coverage area of ​​medium wave broadcast transmitters;

[0030] Use software to construct a three-dimensional model of the image information collected in real time;

[0031] Obtaining preset location information of several groups of monitoring equipment and three-dimensional models of the monitoring equipment;

[0032] The preset point distribution information of several groups of monitoring equipment is mapped one by one to the constructed three-dimensional model, and the model is simulated and trained to obtain a model of the monitoring equipment distribution.

[0033] Preferably, the steps of analyzing the monitoring equipment locations within the model and determining the signal strengths of the monitoring equipment locations are as follows:

[0034] The medium wave broadcast transmitter transmits signals to several groups of monitoring equipment at preset locations;

[0035] Collect monitoring values ​​of monitoring devices located on the same layout line and time information of arriving at the monitoring devices in sequence, wherein the time information corresponds to the monitoring values ​​one by one;

[0036] Compare the monitoring value of the monitoring device with the preset threshold value;

[0037] If the monitoring value of the monitoring device is greater than or equal to the preset threshold, the location is determined to be a strong signal area;

[0038] If the monitoring value of the monitoring device is less than the preset threshold and greater than 0, the location is determined to be a weak signal area;

[0039] If the monitoring value of the monitoring device is equal to 0, a secondary analysis is performed.

[0040] Preferably, the specific steps of performing the secondary analysis are as follows:

[0041] Draw a curve graph of the monitoring values ​​of the monitoring devices located on the same layout line and the time information of reaching the monitoring devices, with the time information of reaching the monitoring devices as the X-axis and the monitoring values ​​of the monitoring devices as the Y-axis;

[0042] Compare and analyze several groups of curve graphs to select a set of curves that conform to the signal attenuation law;

[0043] Calculate the average signal attenuation speed based on a set of curves that conform to the signal attenuation law;

[0044] Filter out the points where the monitoring value is equal to 0;

[0045] Based on the average speed of signal attenuation, the monitoring value of a monitoring device at that point on the same wiring line is analyzed. If it conforms to the regular attenuation, the signal is normally attenuated. If not, there is signal shielding interference in the area.

[0046] Preferably, the specific steps of calculating the average speed of signal attenuation according to the curve set that conforms to the signal attenuation law are as follows:

[0047] Arrange the monitoring values ​​of the monitoring devices in the curve that conforms to the signal attenuation law in order from small to large;

[0048] Determine the detection level and determine the critical value of the kurtosis test based on the detection level;

[0049] Calculate the kurtosis observation value of each monitoring value based on the kurtosis test formula;

[0050] Determine whether the kurtosis observed value of the historical running data is greater than the critical value of the kurtosis test. If so, the point is determined to be an outlier; if not, the point is determined to be a non-outlier;

[0051] Calculate the decay rate of several groups of non-outlier points on the same curve, and sum the decay rate values ​​of several groups;

[0052] Count the number of curves in a curve set;

[0053] Based on the sum of the speed values ​​and the number of curves, the average speed of signal attenuation is obtained;

[0054] The calculation formula of the average speed of signal attenuation is:

[0055]

[0056] Where V is the sum of several groups of decay rate values, and M is the number of curves.

[0057] Preferably, the calculation formula of the kurtosis observation value of the monitoring value is:

[0058]

[0059] Where bk(n) is the observed value of the kurtosis of the monitoring value;

[0060] n is the number of monitoring values ​​sorted from small to large;

[0061] is the average value of all monitoring values;

[0062] x i are the monitoring values ​​before n arranged in ascending order.

[0063] Preferably, the specific steps of optimizing the monitoring equipment location according to the signal strength are as follows:

[0064] If it is a strong signal area, no operation will be performed;

[0065] If it is a weak signal area, additional monitoring equipment will be installed;

[0066] If it conforms to the normal attenuation law, the signal enhancement operation is performed at the position where the monitoring value of the monitoring device is 0;

[0067] If the monitoring value is 0 due to signal shielding interference, the area will be deshielded.

[0068] A monitoring equipment deployment system for a medium wave broadcast transmitter, comprising:

[0069] An acquisition module, the acquisition module is used to acquire the signal coverage area of ​​the medium wave broadcast transmitter and determine the layout line of the monitoring equipment;

[0070] A preset point distribution module, which is used to preset the points of monitoring equipment based on the signal coverage area of ​​the medium wave broadcast transmitter;

[0071] A model building module, which is used to build a model of monitoring equipment distribution in the coverage area based on digital twin technology;

[0072] An analysis module, the analysis module is used to analyze the locations of monitoring equipment in the model and determine the signal strength of the locations of monitoring equipment;

[0073] An optimization module is used to optimize the location of monitoring equipment according to signal strength.

[0074] Compared with the prior art, the present invention provides a method and system for distributing monitoring equipment for medium wave broadcast transmitters, which has the following beneficial effects:

[0075] When deploying the monitoring equipment, the present invention first obtains the farthest signal transmission distance of the medium wave broadcast transmitter, draws a circle with the medium wave broadcast transmitter as the center and the farthest distance as the radius, and the circle is the signal coverage area. Several groups of layout lines are drawn in the area, and point layout is performed on the several groups of layout lines. Digital twin technology is a prior art, and monitoring equipment can be intuitively deployed in the coverage area for staff to understand and analyze. The medium wave broadcast transmitter is used to send a signal to analyze the signal strength of the monitoring equipment deployment location. It is worth noting that the monitoring value of the monitoring equipment may be 0, and there are two situations when the monitoring value is 0. One is that normal signal attenuation causes it to be 0, and the signal can be increased in the area. The other is that there may be shielding interference in the area. The present invention can analyze the area with shielding interference through data intelligence, de-shield and optimize it, which is more convenient for staff to deploy and also speeds up the efficiency of point deployment in real life. BRIEF DESCRIPTION OF THE DRAWINGS

[0076] Figure 1 It is a schematic diagram of the point distribution method of the present invention;

[0077] Figure 2 A schematic diagram of a method for constructing a model for distributing monitoring equipment within a coverage area based on digital twin technology in the present invention;

[0078] Figure 3 A schematic diagram of a method for determining the signal strength of a monitoring device deployment location in the present invention;

[0079] Figure 4 A schematic diagram of a method for performing secondary analysis in the present invention;

[0080] Figure 5 A schematic diagram of a method for calculating the average speed of signal attenuation in the present invention;

[0081] Figure 6 It is a schematic diagram of the method for optimizing the location of monitoring equipment according to signal strength in the present invention. DETAILED DESCRIPTION

[0082] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0083] Please refer to Figure 1-Figure 6 As shown, a method for distributing monitoring equipment of a medium wave broadcast transmitter includes:

[0084] Obtain the signal coverage area of ​​the medium wave broadcast transmitter and determine the layout of the monitoring equipment;

[0085] Preset monitoring equipment locations based on the signal coverage area of ​​the medium wave broadcast transmitter;

[0086] Build a model for monitoring equipment deployment in the coverage area based on digital twin technology;

[0087] Analyze the locations of monitoring equipment within the model to determine the signal strength at the locations of monitoring equipment;

[0088] Optimize the location of monitoring equipment based on signal strength.

[0089] It can be understood by those skilled in the art that when deploying monitoring equipment, the farthest signal transmission distance of the medium wave broadcast transmitter is first obtained, and a circle is drawn with the medium wave broadcast transmitter as the center and the farthest distance as the radius. The circle is the signal coverage area, and several groups of deployment lines are drawn in the area, and point deployment is performed on several groups of deployment lines. Digital twin technology is an existing technology, and monitoring equipment can be deployed intuitively in the coverage area for staff to understand and analyze. The medium wave broadcast transmitter is used to send a signal to analyze the signal strength of the monitoring equipment deployment location. It is worth noting that the monitoring value of the monitoring equipment may be 0. When it is 0, there are two situations. One is that normal signal attenuation causes it to be 0, and the signal can be increased in the area. The other is that there may be shielding interference in the area. The present invention can analyze the area with shielding interference through data intelligence, de-shield and optimize it, which is more convenient for staff to deploy and also speeds up the efficiency of point deployment in real life.

[0090] Obtaining the signal coverage area of ​​the medium wave broadcast transmitter and determining the layout of the monitoring equipment specifically includes the following steps:

[0091] Determine the distance between the medium wave broadcast transmitter and the farthest point of signal transmission, recorded as D1;

[0092] Draw a circle with the medium wave broadcast transmitter as the center and D1 as the radius;

[0093] Divide the circle into several groups of sector-shaped areas according to the same angle;

[0094] Mark the midpoints of the arc edges of several groups of fan-shaped areas, connect the midpoints of the arc edges and the location points of the medium wave broadcast transmitters, and record them as the layout lines of the monitoring equipment.

[0095] It can be understood by those skilled in the art that the distance between the medium wave broadcast transmitter and the farthest point of signal transmission is determined as D1. In real life, the signal value is usually set to 0 in advance due to normal signal attenuation loss. Therefore, the maximum D1 is used as a reference value so that the area can better reflect the signal attenuation and help staff conduct analysis.

[0096] The specific steps for pre-deploying monitoring equipment based on the signal coverage area of ​​the medium wave broadcast transmitter are as follows:

[0097] Determine the distance between the monitoring device and the farthest point in the receiving range, denoted as D2;

[0098] Deploy several groups of monitoring equipment on the deployment line;

[0099] Number several groups of monitoring equipment, record them as 1, 2, 3, ... n;

[0100] The locations of several groups of monitoring equipment are:

[0101]

[0102] In the formula, n is the number of the monitoring equipment;

[0103] Filter out the position points in the fan-shaped area that are not within the receiving range of the monitoring equipment and record them as defect points;

[0104] Supplement monitoring equipment for defective points.

[0105] It can be understood by those skilled in the art that, through D1 and D2, monitoring equipment can be well deployed for each sector-shaped area, and since there is a gap between the two circles, the gap is a defect point, which makes it impossible to monitor, so it is necessary to add it to ensure that each sector-shaped area can be monitored.

[0106] The specific steps for building a model for monitoring equipment deployment in the coverage area based on digital twin technology are as follows:

[0107] Use drones to collect real-time images of the signal coverage area of ​​medium wave broadcast transmitters;

[0108] Use software to construct a three-dimensional model of the image information collected in real time;

[0109] Obtaining preset location information of several groups of monitoring equipment and three-dimensional models of the monitoring equipment;

[0110] The preset point distribution information of several groups of monitoring equipment is mapped one by one to the constructed three-dimensional model, and the model is simulated and trained to obtain a model of the monitoring equipment distribution.

[0111] Analyze the locations of monitoring equipment within the model and determine the signal strength at the locations of monitoring equipment. The specific steps are as follows:

[0112] The medium wave broadcast transmitter transmits signals to several groups of monitoring equipment at preset locations;

[0113] Collect the monitoring values ​​of the monitoring devices on the same layout line and the time information of arriving at the monitoring devices in sequence, and the time information corresponds to the monitoring values ​​one by one;

[0114] Compare the monitoring value of the monitoring device with the preset threshold value;

[0115] If the monitoring value of the monitoring device is greater than or equal to the preset threshold, the location is determined to be a strong signal area;

[0116] If the monitoring value of the monitoring device is less than the preset threshold and greater than 0, the location is determined to be a weak signal area;

[0117] If the monitoring value of the monitoring device is equal to 0, a secondary analysis is performed.

[0118] The specific steps for secondary analysis are as follows:

[0119] Draw a curve graph of the monitoring values ​​of the monitoring devices located on the same layout line and the time information of reaching the monitoring devices, with the time information of reaching the monitoring devices as the X-axis and the monitoring values ​​of the monitoring devices as the Y-axis;

[0120] Compare and analyze several groups of curve graphs to select a set of curves that conform to the law of signal attenuation;

[0121] Calculate the average speed of signal attenuation based on a set of curves that conform to the law of signal attenuation;

[0122] Filter out the points where the monitoring value is equal to 0;

[0123] Based on the average speed of signal attenuation, the monitoring value of a monitoring device at that point on the same wiring line is analyzed. If it conforms to the regular attenuation, the signal is normally attenuated. If not, there is signal shielding interference in the area.

[0124] The specific steps for calculating the average speed of signal attenuation based on a set of curves that conform to the signal attenuation law are as follows:

[0125] Arrange the monitoring values ​​of the monitoring devices in the curve that conforms to the signal attenuation law in order from small to large;

[0126] Determine the detection level and determine the critical value of the kurtosis test based on the detection level;

[0127] Calculate the kurtosis observation value of each monitoring value based on the kurtosis test formula;

[0128] Determine whether the kurtosis observed value of the historical running data is greater than the critical value of the kurtosis test. If so, the point is determined to be an outlier; if not, the point is determined to be a non-outlier;

[0129] Calculate the decay rate of several groups of non-outlier points on the same curve, and sum the decay rate values ​​of several groups;

[0130] Count the number of curves in a curve set;

[0131] Based on the sum of the speed values ​​and the number of curves, the average speed of signal attenuation is obtained;

[0132] The calculation formula for the average speed of signal attenuation is:

[0133]

[0134] Where V is the sum of several groups of decay rate values, and M is the number of curves.

[0135] The calculation formula for the kurtosis observation of the monitoring value is:

[0136]

[0137] Where bk(n) is the observed value of the kurtosis of the monitoring value;

[0138] n is the number of monitoring values ​​sorted from small to large;

[0139] is the average value of all monitoring values;

[0140] x i are the monitoring values ​​before n arranged in ascending order.

[0141] It can be understood by those skilled in the art that by eliminating outliers and calculating the attenuation rate based on non-outlier data, the impact of interference variables in historical operating data on monitoring values ​​can be effectively reduced, thereby improving the reliability of the calculation.

[0142] The specific steps to optimize the location of monitoring equipment according to signal strength are as follows:

[0143] If it is a strong signal area, no operation will be performed;

[0144] If it is a weak signal area, additional monitoring equipment will be installed;

[0145] If it conforms to the normal attenuation law, the signal enhancement operation is performed at the position where the monitoring value of the monitoring device is 0;

[0146] If the monitoring value is 0 due to signal shielding interference, the area will be deshielded.

[0147] A monitoring equipment deployment system for a medium wave broadcast transmitter, comprising:

[0148] An acquisition module, which is used to acquire the signal coverage area of ​​the medium wave broadcast transmitter and determine the layout line of the monitoring equipment;

[0149] A preset point distribution module is used to preset the points of monitoring equipment based on the signal coverage area of ​​the medium wave broadcast transmitter;

[0150] Model building module: The model building module is used to build a model of monitoring equipment distribution in the coverage area based on digital twin technology;

[0151] An analysis module is used to analyze the locations of monitoring equipment within the model and determine the signal strength of the locations of monitoring equipment;

[0152] Optimization module, the optimization module is used to optimize the location of monitoring equipment according to signal strength.

[0153] To sum up, when deploying the monitoring equipment, the present invention first obtains the farthest signal transmission distance of the medium wave broadcast transmitter, draws a circle with the medium wave broadcast transmitter as the center and the farthest distance as the radius, and the circle is the signal coverage area. In addition, several groups of deployment lines are drawn in the area, and point deployment is performed on several groups of deployment lines. Digital twin technology is an existing technology, and monitoring equipment can be deployed intuitively in the coverage area for staff to understand and analyze. The medium wave broadcast transmitter is used to send a signal to analyze the signal strength of the monitoring equipment deployment location. It is worth noting that the monitoring value of the monitoring equipment may be 0, and there are two situations when the monitoring value is 0. One is that normal signal attenuation causes it to be 0, and the signal increase operation can be performed on the area. The other is that there may be shielding interference in the area. The present invention can analyze the area with shielding interference through data intelligence, de-shield and optimize it, which is more convenient for staff to deploy and also speeds up the efficiency of point deployment in real life.

[0154] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for distributing monitoring equipment for a medium wave broadcast transmitter, characterized in that: include: Obtain the signal coverage area of ​​the medium wave broadcast transmitter and determine the layout of the monitoring equipment; Preset monitoring equipment locations based on the signal coverage area of ​​the medium wave broadcast transmitter; Build a model for monitoring equipment deployment in the coverage area based on digital twin technology; Analyze the locations of monitoring equipment within the model to determine the signal strength at the locations of monitoring equipment; Optimize the location of monitoring equipment based on signal strength.

2. The method for distributing monitoring equipment for a medium wave broadcast transmitter according to claim 1, characterized in that: The steps of obtaining the signal coverage area of ​​the medium wave broadcast transmitter and determining the layout of the monitoring equipment specifically include the following steps: Determine the distance between the medium wave broadcast transmitter and the farthest point of signal transmission, recorded as D1; Draw a circle with the medium wave broadcast transmitter as the center and D1 as the radius; Divide the circle into several groups of sector-shaped areas according to the same angle; Mark the midpoints of the arc edges of several groups of fan-shaped areas, connect the midpoints of the arc edges and the location points of the medium wave broadcast transmitters, and record them as the layout lines of the monitoring equipment.

3. The method for distributing monitoring equipment for a medium wave broadcast transmitter according to claim 2, characterized in that: The preset deployment of monitoring equipment based on the signal coverage area of ​​the medium wave broadcast transmitter specifically includes the following steps: Determine the distance between the monitoring device and the farthest point in the receiving range, denoted as D2; Deploy several groups of monitoring equipment on the deployment line; Number several groups of monitoring equipment, record them as 1, 2, 3, ... n; The locations of several groups of monitoring equipment are: In the formula, n is the number of the monitoring equipment; Filter out the position points in the fan-shaped area that are not within the receiving range of the monitoring equipment and record them as defect points; Supplement monitoring equipment for defective points.

4. The method for distributing monitoring equipment for a medium wave broadcast transmitter according to claim 3, characterized in that: The specific steps of constructing a model for monitoring equipment distribution in the coverage area based on digital twin technology are as follows: Use drones to collect real-time images of the signal coverage area of ​​medium wave broadcast transmitters; Use software to construct a three-dimensional model of the image information collected in real time; Obtaining preset location information of several groups of monitoring equipment and three-dimensional models of the monitoring equipment; The preset point distribution information of several groups of monitoring equipment is mapped one by one to the constructed three-dimensional model, and the model is simulated and trained to obtain a model of the monitoring equipment distribution.

5. The method for distributing monitoring equipment for a medium wave broadcast transmitter according to claim 4, characterized in that: The specific steps of analyzing the locations of monitoring equipment in the model and determining the signal strength of the locations of monitoring equipment are as follows: The medium wave broadcast transmitter transmits signals to several groups of monitoring equipment at preset locations; Collect monitoring values ​​of monitoring devices located on the same layout line and time information of arriving at the monitoring devices in sequence, wherein the time information corresponds to the monitoring values ​​one by one; Compare the monitoring value of the monitoring device with the preset threshold value; If the monitoring value of the monitoring device is greater than or equal to the preset threshold, the location is determined to be a strong signal area; If the monitoring value of the monitoring device is less than the preset threshold and greater than 0, the location is determined to be a weak signal area; If the monitoring value of the monitoring device is equal to 0, a secondary analysis is performed.

6. The method for distributing monitoring equipment for a medium wave broadcast transmitter according to claim 5, characterized in that: The specific steps of the secondary analysis are as follows: Draw a curve graph of the monitoring values ​​of the monitoring devices located on the same layout line and the time information of reaching the monitoring devices, with the time information of reaching the monitoring devices as the X-axis and the monitoring values ​​of the monitoring devices as the Y-axis; Compare and analyze several groups of curve graphs to select a set of curves that conform to the signal attenuation law; Calculate the average signal attenuation speed based on a set of curves that conform to the signal attenuation law; Filter out the points where the monitoring value is equal to 0; Based on the average speed of signal attenuation, the monitoring value of a monitoring device at that point on the same wiring line is analyzed. If it conforms to the regular attenuation, the signal is normally attenuated. If not, there is signal shielding interference in the area.

7. The method for distributing monitoring equipment for a medium wave broadcast transmitter according to claim 6, characterized in that: The specific steps of calculating the average speed of signal attenuation based on a set of curves that conform to the signal attenuation law are as follows: Arrange the monitoring values ​​of the monitoring devices in the curve that conforms to the signal attenuation law in order from small to large; Determine the detection level and determine the critical value of the kurtosis test based on the detection level; Calculate the kurtosis observation value of each monitoring value based on the kurtosis test formula; Determine whether the kurtosis observed value is greater than the critical value of the kurtosis test. If so, the point is determined to be an outlier. If not, the point is determined to be a non-outlier. Calculate the decay rate of several groups of non-outlier points on the same curve, and sum the decay rate values ​​of several groups; Count the number of curves in a curve set; Based on the sum of the speed values ​​and the number of curves, the average speed of signal attenuation is obtained; The calculation formula of the average speed of signal attenuation is: Where V is the sum of several groups of decay rate values, and M is the number of curves.

8. The method for distributing monitoring equipment for a medium wave broadcast transmitter according to claim 7, characterized in that: The calculation formula of the kurtosis observation value of the monitoring value is: Where bk(n) is the observed value of the kurtosis of the monitoring value; n is the number of monitoring values ​​sorted from small to large; x is the average value of all monitoring values; x i are the monitoring values ​​before n arranged in ascending order.

9. The method for distributing monitoring equipment for a medium wave broadcast transmitter according to claim 8, characterized in that: The specific steps of optimizing the location of monitoring equipment points according to signal strength are as follows: If it is a strong signal area, no operation will be performed; If it is a weak signal area, additional monitoring equipment will be installed; If it conforms to the normal attenuation law, the signal enhancement operation is performed at the position where the monitoring value of the monitoring device is 0; If the monitoring value is 0 due to signal shielding interference, the area will be deshielded.

10. A monitoring equipment deployment system for a medium wave broadcast transmitter, used to implement a monitoring equipment deployment method for a medium wave broadcast transmitter as claimed in any one of claims 1 to 9, characterized in that: include: An acquisition module, the acquisition module is used to acquire the signal coverage area of ​​the medium wave broadcast transmitter and determine the layout line of the monitoring equipment; A preset point distribution module, which is used to preset the points of monitoring equipment based on the signal coverage area of ​​the medium wave broadcast transmitter; A model building module, which is used to build a model of monitoring equipment distribution in the coverage area based on digital twin technology; An analysis module, the analysis module is used to analyze the locations of monitoring equipment in the model and determine the signal strength of the locations of monitoring equipment; An optimization module is used to optimize the location of monitoring equipment according to signal strength.

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