JP2017017613A - Communication diagnostic system and communication diagnostic method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a communication diagnostic system capable of easily predicting the availability of radio communication under a meteorological condition at the time by calculating the availability of radio communication based on prescribed cumulative meteorological information.SOLUTION: A communication diagnostic system 1 comprises a transmission/reception station BS, a meteorological and hydrographic information acquisition station WS, and a cloud server CS. The transmission/reception station BS transmits an archive AR, such as a reception level when a GX terminal 11 performed radio communication with a GX satellite S, to the cloud server CS via the GX satellite S. A meteorological and hydrographic server 21 in the meteorological and hydrographic information acquisition station WS outputs meteorological information WD to the cloud server CS. A virtual machine 31 in the cloud server CS calculates cumulative rainfall from the archive AR and the meteorological information WD, and calculates a communication unavailability rate by calculating correlative relation between the cumulative rainfall and the reception level. This allows the rate of unavailability of communication between the GX terminal 11 and the GX satellite S to be predicted easily.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a communication diagnosis system and a communication diagnosis method that predict and notify whether or not communication is possible in satellite communication.

  In recent years, there has been a rapid increase in demand for high-speed ship communication. In order to respond to this demand, Inmarsat will provide a high-speed satellite communication system called Global Xpress (hereinafter referred to as “GX”) communication. . This GX communication performs wireless communication using a transmission wave in a frequency band of 20 GHz to 30 GHz called a Ka band. However, it is known that wireless communication using the Ka band may not be able to communicate due to attenuation of the output of the transmission wave due to weather conditions such as rainfall.

  2. Description of the Related Art Conventionally, for example, a network monitoring device that acquires a predicted rainfall amount after a predetermined time from weather prediction data of a weather data server is known (see, for example, Patent Document 1). This network monitoring device predicts whether or not a line error will occur in the current line route from the predicted rainfall in the current line route, and if it is predicted that a line error will occur, it is predicted that no line error will occur. Switch to the line route.

JP 2009-049593 A

  By the way, in actual wireless communication, not only rainfall but also fine particulate matter such as yellow sand, PM2.5, and volcanic plume may affect the output of the transmission wave. In the situation where storms such as typhoons are approaching, wave splashes at sea may also affect. It is not easy to theoretically calculate whether or not wireless communication is possible for all these factors.

  Therefore, the present invention calculates the correlation between cumulative weather information indicating the distribution of rainfall, fine particulate matter, and the like, and the output intensity of the transmission wave, and calculates the availability of wireless communication in the predetermined cumulative weather information. An object is to easily predict whether wireless communication is possible.

  In order to solve the above-mentioned problem, the invention according to claim 1 is a communication diagnostic system for diagnosing whether radio communication is possible in satellite communication in which radio communication is performed between a transmission / reception station and a satellite. Log information acquisition for acquiring transmission / reception station log information having information, an azimuth indicating a direction from the transmission / reception station to the satellite, and a reception level indicating an output intensity of a transmission wave output by the satellite in the transmission / reception station Means, weather information acquisition means for acquiring weather information at a predetermined distance between the transmitting / receiving station and the satellite, the position information, the azimuth angle, and the weather information. A cumulative calculation means for calculating cumulative weather information at a point of the vehicle, and calculating a correlation between the cumulative weather information and the reception level, and based on the correlation, past and present at the transmitting and receiving stations Or wherein the expected accumulated weather information, further comprising a diagnostic means for diagnosing whether said wireless communications in the transceiver station.

  In this invention, cumulative weather information at a predetermined distance between the transmission / reception station and the satellite is calculated from the position information of the transmission / reception station, the azimuth indicating the direction from the transmission / reception station to the satellite, and the weather information. The correlation between the cumulative weather information and the reception level indicating the output intensity of the transmission wave output from the satellite is calculated. Based on this correlation, whether or not wireless communication is possible at the transmitting / receiving station is diagnosed from past, present or predicted accumulated weather information at the transmitting / receiving station.

  According to a second aspect of the present invention, in the communication diagnosis system according to the first aspect, the meteorological information includes a rainfall amount at a point for each predetermined distance, and the accumulated meteorological information is a predetermined point from the transmitting / receiving station. And a cumulative rainfall amount obtained by accumulating the rainfall amount for each of the predetermined distances up to a predetermined distance.

  According to a third aspect of the present invention, in the communication diagnosis system according to the first aspect, the meteorological information includes the amount of rainfall at each predetermined distance and the amount of microparticulate matter suspended at each predetermined distance. And the accumulated weather information accumulates the accumulated rain amount obtained by accumulating the rain amount for each predetermined distance between the transmitting / receiving station and the predetermined point, and the suspended amount of the microparticulate matter for each predetermined distance. And having a cumulative amount of minute substance suspended.

  According to a fourth aspect of the present invention, in the communication diagnostic system according to any one of the first to third aspects, the transmission / reception station log information further indicates reception intensity in a section in which the transmission wave is not received. Having a noise level, the diagnostic means calculates a determination level indicating a threshold of communication availability at the reception level from the reception level and the noise level, calculates a regression line of the reception level and the determination level, and A probability distribution in which the reception level is equal to or lower than the determination level is calculated from a regression line to diagnose whether or not the wireless communication is possible in the transmission / reception station.

  According to a fifth aspect of the present invention, in the communication diagnostic system according to any one of the first to fourth aspects, the diagnostic unit calculates the cumulative weather information and the reception level for each point at the predetermined distance. Calculating a correlation, calculating a least square error of the correlation, and diagnosing the wireless communication in the transmitting / receiving station based on the correlation having the smallest minimum square error. .

  According to a sixth aspect of the present invention, in the communication diagnostic system according to any one of the first to fifth aspects, the transmitting / receiving station is installed on a shipboard station or on the ground installed in a ship that is navigating the sea. It is a ground station that is installed.

  The invention according to claim 7 is the communication diagnosis system according to any one of claims 1 to 5, wherein the transmission / reception station navigates the sea, and the cumulative weather information and the reception level for each season and region. And the diagnostic means calculates the correlation from the collected cumulative weather information and the received level to construct a database, and refers to the database when the ship sails on the sea. Diagnosing whether or not the wireless communication is possible in the season and area in which the aircraft navigates.

  According to an eighth aspect of the present invention, in satellite communication in which wireless communication is performed between a transmission / reception station and a satellite, position information of the transmission / reception station, an azimuth indicating a direction from the transmission / reception station to the satellite, and the transmission / reception station Transmitting / receiving station log information having a reception level indicating an output intensity of a transmission wave output by the satellite and meteorological information at a predetermined distance between the transmitting / receiving station and the satellite, and the wireless communication A communication diagnostic method for diagnosing whether or not the vehicle is capable of accumulating, and a cumulative calculation process for calculating cumulative weather information for each predetermined distance from the position information, the azimuth angle, and the weather information, and the cumulative weather information And the reception level is calculated, and based on the correlation, whether or not the wireless communication at the transmitting / receiving station is possible from the past, current or predicted accumulated weather information at the transmitting / receiving station is determined. Diagnostic process of disconnection, and having a.

  According to the invention described in claim 1 and claim 8, by diagnosing the possibility of wireless communication in the transmitting / receiving station from the past, current or predicted accumulated weather information in the transmitting / receiving station, in the current weather conditions It becomes possible to easily predict whether wireless communication is possible. For this reason, when GX communication is not possible, it is easy to determine whether the cause is due to weather conditions or due to a failure. Therefore, in response to an inquiry from a customer who uses GX communication that wireless communication is not possible, The cause can be investigated and answered. In addition, when it is predicted in advance that wireless communication between a predetermined transmitting / receiving station and a satellite becomes impossible due to weather conditions, when another transmitting / receiving station is available, the transmitting / receiving station is used to Operation such as performing wireless communication becomes possible.

  According to the second aspect of the present invention, the correlation between the specific weather conditions and the availability of wireless communication is diagnosed based on the correlation between the accumulated rainfall and the reception level, based on the diagnosis of the availability of wireless communication at the transmitting and receiving stations. It becomes possible to clarify the relationship.

  According to the third aspect of the invention, based on the correlation between the accumulated rain amount and the accumulated minute matter floating amount and the reception level, whether or not wireless communication is possible in the transmitting and receiving stations is diagnosed, the specific weather conditions and the atmosphere It becomes possible to clarify the correlation between the status of the wireless communication and the availability of wireless communication.

  According to the fourth aspect of the present invention, by calculating a determination level indicating a threshold of communication availability at the reception level from the reception level and the noise level, and calculating a probability distribution in which the reception level is equal to or lower than the determination level. When the reception level is less than or equal to the determination level, it can be easily predicted that wireless communication is impossible.

  According to the fifth aspect of the present invention, the least square error of the correlation is calculated, and the possibility of wireless communication at the transmitting / receiving station is diagnosed based on the correlation of the point where the least square error is the smallest. It is possible to calculate whether wireless communication is possible.

  According to the sixth aspect of the present invention, the transmitting / receiving station may be either an onboard station installed in a ship navigating at sea or a ground station installed on the ground. Even so, the present invention can be applied.

  According to the seventh aspect of the present invention, a correlation is calculated for each season and region, a database is constructed, and whether or not wireless communication is possible in the season and region in which the database is referred to and navigated when the vessel navigates. Since the diagnosis is made, it is possible to instantaneously determine whether or not wireless communication is possible in the season and region of navigation.

It is a lineblock diagram showing the outline of communication diagnostic system 1 concerning an embodiment of this invention. It is a schematic diagram which shows the example which calculates the cumulative rainfall in the communication diagnostic system 1 of FIG. It is a figure which shows the example of the correlation with the accumulated rainfall calculated by the instance 31a of FIG. 1, and the reception level of the transmission wave DW. FIG. 4 is a diagram illustrating an example of calculating a probability distribution from the correlation of FIG. 3, a diagram illustrating an example of calculating a probability distribution and variance of reception levels and determination levels, and a probability distribution in which the reception level is equal to or lower than the determination level. It is a figure (b) showing an example which computes. It is a figure which shows the correlation with the accumulated rainfall in the point of 0.0 degrees from the GX terminal 11 of FIG. It is a figure which shows the correlation with the reception level of the cumulative rainfall, the reception level, and the determination level in the point of 0.1 degree from the GX terminal 11 of FIG. It is a figure which shows the correlation with the reception level of the accumulation rainfall in the point of 0.2 degrees from the GX terminal of FIG. 1, a reception level, and a determination level. It is a figure which shows the correlation with the reception level of the accumulation rainfall in the point of 0.3 degrees from the GX terminal of FIG. 1, a reception level, and a determination level. It is a figure which shows the correlation with the reception level of the cumulative rainfall in the point of 0.4 degrees from the GX terminal of FIG. It is a figure which shows the correlation with the reception level of the accumulation rainfall in the point of 0.5 degrees from the GX terminal of FIG. 1, a reception level, and a determination level. It is a figure which shows the correlation with the reception level of the accumulation rainfall in the point of 0.6 degrees from the GX terminal of FIG. 1, a reception level, and a determination level. It is a figure which shows the correlation with the reception level of the accumulated rainfall, the reception level, and the determination level in the point of 0.7 degrees from the GX terminal 11 of FIG. It is a figure which shows the correlation with the reception level of the accumulation amount of rainfall in the point of 0.8 degrees from the GX terminal 11 of FIG. 1, a reception level, and a determination level. It is a figure which shows the correlation with the reception level of the accumulation rainfall in the point of 0.9 degrees from GX terminal 11 of FIG. 1, a reception level, and a determination level. It is a figure which shows the correlation with the reception level of the accumulated rainfall, the reception level, and the determination level in the point of 1.0 degree from GX terminal 11 of FIG. It is a figure which shows the correlation with the reception level of the cumulative rainfall in the point of 1.1 degrees from the GX terminal of FIG. It is a figure which shows the example which calculated the probability that communication was impossible from the correlation of FIG.

  The present invention will be described below based on the illustrated embodiments.

  A communication diagnostic system 1 according to an embodiment of the present invention is a system for diagnosing the availability of wireless communication between a GX satellite S (satellite) and a transmission / reception station BS, and mainly as shown in FIG. S, a transmission / reception station BS, a weather and sea information acquisition station WS, and a cloud server CS.

  The GX satellite S is a communication satellite for performing GX communication, and is an artificial satellite that performs radio communication with the transmission / reception station BS using the transmission wave DW in the Ka band frequency band. This Ka band is a frequency band that is susceptible to weather conditions such as rainfall and fine particulate matter such as yellow sand, PM2.5, and volcanic plume, and the output is attenuated by these effects, and wireless communication is not possible. There is a case.

  The transmission / reception station BS is provided in a ship navigating at sea, and communicates with other ships and a transmission / reception station provided on the ground by performing wireless communication with the GX satellite S via the transmission wave DW. Yes, a GX terminal 11 is installed. The transmission / reception station BS may be provided on the ground.

  The GX terminal 11 is a communication interface device that transmits and receives a transmission wave DW, and has a function of automatically detecting the direction of the GX satellite S and transmitting and receiving the transmission wave DW. Further, the GX terminal 11 indicates transmission / reception information of the transmission wave DW, position information (latitude and longitude) of the transmission / reception station BS, an azimuth indicating a direction from the transmission / reception station BS to the GX satellite S, and an output intensity of the transmission wave DW. It has a function (log information acquisition means) for acquiring transmission / reception station log information such as a reception level and a noise level indicating a reception intensity in a section where the transmission wave DW is not received and storing it in the archive AR. The GX terminal 11 transmits the archive AR to the cloud server CS via the transmission wave DW and the GX satellite S.

  The weather and sea state information acquisition station WS is a facility for acquiring weather observation information and sea state information, and a weather and sea state server 21 is installed. The meteorological and oceanographic server 21 is a server computer that has a function (meteorological information acquisition means) for acquiring meteorological observation information and marine state information, and transmits it to the cloud server CS. It provides weather information WD. This weather information WD is, for example, a GPV format file, and as shown in FIG. 2, for each predetermined distance on the arrow L1 extending from the GX terminal 11 in the transmission / reception station BS in the direction of the GX satellite S (for example, It has various meteorological data such as rainfall of points P1, P2,.

  The cloud server CS is a server computer that provides various software and data to a PC connected to the Internet as needed via the Internet. For example, the cloud server CS is provided by Amazon.com (registered trademark). Amazon Web Service (hereinafter referred to as “AWS”) (registered trademark) is used. In this cloud server CS, a virtual machine 31 and a data storage 32 are installed.

  The virtual machine 31 is a mechanism in which one hardware resource is shared by a plurality of OSs (Operating System) and application software, and the OS and application software are allocated to a plurality of users and operated independently. The virtual machine 31 uses, for example, Amazon EC2 (registered trademark), which is one of AWS services. The virtual machine 31 stores in a memory a computer program called an instance 31a and a data structure expanded into an executable state. The data storage 32 is a data server provided on the Internet to store data for use by the instance 31a, and is accessed from the instance 31a. This data storage 32 uses, for example, Amazon S3, which is one of AWS services. The data storage 32 has a bucket 32a for storing various data. The instance 31a is configured to generate a plurality of instances 31a1, 31a2, 31a3,... According to the amounts of various data stored in the bucket 32a.

  The instance 31a has a function of storing the archive AR transmitted from the GX terminal 11 and the weather information WD transmitted from the weather sea state server 21 in the bucket 32a. Further, the instance 31a reads the archive AR and the weather information WD, and the point P1 from the GX terminal 11 in the transmission / reception station BS based on the rainfall at the points P1, P2,..., P7 shown in FIG. , P2,..., P7, and a function (cumulative calculation means) for calculating the cumulative rainfall (cumulative weather information) and outputting it to the cumulative information AD. Further, the instance 31a has a function (diagnostic unit) that acquires the accumulated information AD, calculates a correlation, and diagnoses whether wireless communication with the GX satellite S is possible based on the correlation. The accumulated information AD is, for example, a CSV format file.

  Next, a communication diagnosis method and the like in such a communication diagnosis system 1 will be described.

  This communication diagnosis method has a cumulative calculation process and a diagnosis process by the instance 31a. The cumulative calculation process reads the archive AR and the weather information WD, and the distance from the GX terminal 11 to the points P1, P2,..., P7 based on the rainfall at the points P1, P2,. For example, in the case of calculating the cumulative rainfall up to the point P3 in FIG. 2, the cumulative rainfall is calculated at the points P1, P2, and P3.

  In the diagnosis process, first, as shown in FIG. 3, a straight line L2 indicating the correlation between the accumulated rainfall calculated by the instance 31a and the reception level and a broken line L3 indicating the correlation between the accumulated rainfall and the determination level are calculated. . Here, the determination level is a value for determining that communication between the GX terminal 11 and the GX satellite S is impossible when the reception level is less than or equal to this value, and performs a predetermined calculation on the noise level. Is calculated. The points indicated by black circles in FIG. 3 are points P1, P2,..., P7 (for example, GX terminal 11 in FIG. 2) at predetermined intervals (for example, every 10 seconds) within a predetermined period (for example, January). The latitude and longitude are points indicating the reception level when the accumulated rainfall is calculated from the rainfall acquired at every 0.02 ° in the range of 0.8 °). It is a point indicating the noise level at the time of rain, and the point indicated by a white circle is a point indicating the determination level at the cumulative rainfall during the same period. The straight line L2 is a regression line calculated using the least square method from the reception level point in FIG. 3, and the broken line L3 is a regression line calculated using the least square method from the determination level point in FIG. This correlation is calculated for each of the points P1, P2,.

  Next, the least square error is calculated for the straight line L2 indicating the correlation between the accumulated rainfall calculated for each of the points P1, P2,..., P7 and the reception level. When the least square error is the smallest, it is determined that the correlation between the accumulated rainfall and the reception level between the GX terminal 11 and the GX satellite S is shown. The reason for this will be described below.

  As shown in FIG. 2, when wireless communication is performed between the GX terminal 11 and the GX satellite S, the transmission wave DW passes below the cloud C1 and above the cloud C2. In this case, the rainfall between the points P1 to P4 affects the wireless communication between the GX terminal 11 and the GX satellite S, but the rainfall between the points P5 and P7 is between the GX terminal 11 and the GX satellite S. It is considered that it does not affect the wireless communication. That is, of the accumulated rainfall calculated for each of the points P1, P2,..., P7, the accumulated rainfall at the point P4 where the rainfall between the points P1 to P4 is accumulated is considered to be most correlated with the reception level. In this case, the least square error of the regression line is considered to be the smallest. Therefore, it is determined that the case where the least square error is the smallest indicates the correlation between the accumulated rainfall and the reception level between the GX terminal 11 and the GX satellite S.

Next, as shown in FIG. 4A, a probability distribution curve and a variance are calculated for the correlation between the accumulated rainfall and the reception level when the least square error is the smallest and the correlation between the accumulated rainfall and the determination level. . The straight line L4 in FIG. 4A shows the correlation between the accumulated rainfall and the reception level, the broken line L5 shows the correlation between the accumulated rainfall and the determination level, and the distribution curves WL11, WL12, WL13, WL14 are predetermined lines L4. The distribution curves WL21, WL22, WL23, and WL24 indicate probability distribution curves at predetermined points indicated by a broken line L5. Moreover, the relational expression of the straight line L4 is
Y1 = An * X + Bn
And the variance of the reception level Y1 is σ1. The relational expression of the broken line L5 is
Y2 = Am * X + Bm
The variance of the determination level Y2 is σ2.

  Thereafter, as shown in FIG. 4B, the difference between the determination level Y2 and the reception level Y1 is calculated. Here, the case where the value Y obtained by subtracting the reception level Y1 from the determination level Y2 is larger than 0 means that the determination level is larger than the reception level, that is, the communication between the GX terminal 11 and the GX satellite S is impossible. is there. Therefore, the probability that Y is greater than 0 is calculated by adding the variances σ1 and σ2, thereby calculating the probability that the communication between the GX terminal 11 and the GX satellite S is impossible. And the GX satellite S can be diagnosed.

FIG. 5 to FIG. 16 show the cumulative rainfall calculated from the rainfall acquired from the GX terminal 11 in the range of 0.0 ° to 1.1 ° for latitude and longitude every 0.1 °, the reception level and the determination level. It is a figure which shows correlation of these. Lines L11, L12,..., L22 in FIGS. 5 to 16 indicate the correlation between the accumulated rainfall and the reception level, and broken lines L31, L32,..., L42 indicate the correlation between the accumulated rainfall and the determination level. Show. Also, the points indicated by black circles, the points indicated by x, and the points indicated by white circles indicate the reception level, noise level, and determination level, respectively, as in FIG. Furthermore, the relational expressions of the straight lines L11, L12,.
Y = A1 * X + B1, Y = A2 * X + B2,..., Y = A12 * X + B12
And the least square errors are E1, E2,..., E12, respectively. The relational expressions of the broken lines L31, L32,.
Y = C1 * X + D1, Y = C2 * X + D2,..., Y = C12 * X + D12
It is.

  The least square error E1, E2,..., E12 is the largest value of the least square error E1, and as the distance from the GX terminal 11, the least square error E2, E3,. The square error E6 shows the smallest value. Thereafter, the increase and decrease are repeated as least square errors E7, E8,..., But a value larger than the least square error E6 is shown. Therefore, the straight line L16 and the broken line L36 related to the least square error E6 at 0.5 ° from the GX terminal 11 shown in FIG. 10 indicate the correlation between the accumulated rainfall and the reception level between the GX terminal 11 and the GX satellite S. It can be determined that the relationship and the correlation between the accumulated rainfall and the determination level are shown.

  Thereafter, the probability distribution curve and variance of the reception level Y = A6 * X + B6 and the determination level Y = C6 * X + D6 are calculated, and the difference is calculated. The straight line L16 and the alternate long and short dash line L36 shown in FIG. 17 show the same correlation as the straight line L16 and the broken line L36 shown in FIG. 10, and the broken lines L161 and L162 show the variance in the probability distribution curve of the reception level Y = A6 * X + B6. The change of the value obtained by adding and subtracting the standard deviation F1 that is the square root, and the two-dot chain lines L361 and L362 are the changes of the value obtained by adding and subtracting the standard deviation F2 in the probability distribution curve of the determination level Y = C6 * X + D6. . From these probability distribution curves, the probability that the value obtained by subtracting the reception level from the determination level is greater than 0 is the curve WL4, and the vertical axis on the right side of FIG. 17 indicates the value. As shown by the curve WL4, the probability of the curve WL4 increases as the value of the determination level Y = C6 * X + D6 approaches the value of the reception level Y = A6 * X + B6, and the determination level value becomes equal to the reception level value. The probability of the curve WL4 exceeds 50%. This value is the probability that communication between the GX terminal 11 and the GX satellite S is impossible, and thus it is possible to diagnose whether communication between the GX terminal 11 and the GX satellite S is possible.

  The correlation between the accumulated rainfall, the reception level, and the determination level varies depending on the season and the region. For example, in Japan and surrounding areas, the height of the clouds differs between the rainy season and the summer when cumulonimbus clouds occur. In the area near the equator, squalls occur at certain times during the rainy season. Therefore, when a ship equipped with the GX terminal 11 navigates the sea around the world, it collects transmission / reception station log information in each season and each region and builds a database, and determines the communication failure rate for each season and each region. Calculate in advance. Since this communication failure rate may change due to environmental changes, it is updated regularly (for example, once a month or twice a year). As a result, if the time, reception level, and weather information when the ship navigates a predetermined position is known, the communication impossibility rate for each ship is instantaneously determined by referring to the communication impossibility calculation model in that season and region. It becomes possible to calculate.

  As described above, according to the communication diagnosis system 1 and the communication diagnosis method, the straight line L16 indicating the correlation between the accumulated rainfall and the reception level between the GX terminal 11 and the GX satellite S, the accumulated rainfall and the determination level, A broken line L36 indicating the correlation between the GX terminal 11 and the GX terminal 11 and the GX satellite S is calculated from the probability distribution, and a curve WL4 indicating the probability that the communication between the GX terminal 11 and the GX satellite S is impossible. Accordingly, since the probability that communication between the GX terminal 11 and the GX satellite S is impossible is calculated, it is possible to easily diagnose whether the communication between the GX terminal 11 and the GX satellite S is possible.

  Further, the communication between the GX terminal 11 and the GX satellite S is performed by changing the distance from the GX terminal 11, calculating the accumulated rainfall for each predetermined distance, calculating the least square error thereof, and determining the minimum case. It is possible to accurately predict the probability that will be impossible.

  Although the embodiment of the present invention has been described above, the specific configuration is not limited to the above embodiment, and even if there is a design change or the like without departing from the gist of the present invention, Included in the invention. For example, in the above embodiment, the rainfall is obtained from the weather information WD and the correlation is calculated. However, not only the rainfall, but also fine particulate matter such as yellow sand, PM2.5, and volcanic plume The correlation may be calculated by acquiring information on the amount of suspended particles and calculating the accumulated fine particulate matter. In addition, since it is considered that the amount of suspended particulate matter will decrease in the case of rainfall, the correlation may be calculated for both the amount of rainfall and the amount of suspended particulate matter, and weighted by the amount of rainfall. .

  In the above embodiment, the regression line is calculated from all the values of the acquired reception level and noise level. However, only a part of the values may be used by using a predetermined statistical process. For example, a method using a mode value corresponding to a predetermined cumulative rainfall, a method excluding a value that deviates by a predetermined value (for example, twice the standard deviation) or more from a probability distribution curve, or the like may be used.

1 Communication diagnosis system 11 GX terminal (log information acquisition means)
21 Meteorological Oceanographic Server (Meteorological information acquisition means)
31 virtual machine 31a instance (cumulative calculation means, diagnostic means)
32 Data storage 32a Bucket AD Cumulative information (cumulative weather information)
AR archive (transmission / reception station log information)
BS transceiver station CS cloud server DW transmission wave S GX satellite WD weather information WS meteorological information acquisition station

Claims (8)

In a communication diagnostic system for diagnosing whether wireless communication is possible in satellite communication for performing wireless communication between a transmission / reception station and a satellite,
Transmission / reception station log information having position information of the transmission / reception station, an azimuth indicating a direction from the transmission / reception station to the satellite, and a reception level indicating an output intensity of a transmission wave output from the satellite in the transmission / reception station. Log information acquisition means to acquire;
Meteorological information acquisition means for acquiring weather information at a predetermined distance between the transmission / reception station and the satellite;
Cumulative calculation means for calculating cumulative weather information at points for each predetermined distance from the position information, the azimuth angle, and the weather information;
A correlation between the accumulated weather information and the reception level is calculated, and based on the correlation, diagnosis is performed on the wireless communication at the transmitting / receiving station based on past, current or predicted accumulated weather information at the transmitting / receiving station. Diagnostic means;
A communication diagnostic system comprising: The meteorological information has rainfall at a point for each predetermined distance,
The cumulative weather information has a cumulative rainfall obtained by accumulating the rainfall for each predetermined distance between the transmitting / receiving station and a predetermined point.
The communication diagnostic system according to claim 1. The meteorological information includes the amount of rainfall at each predetermined distance and the amount of suspended fine particulate matter at each predetermined distance;
The accumulated meteorological information is a cumulative minute matter obtained by accumulating the amount of rain for each predetermined distance between the transmitting / receiving station and a predetermined point, and a cumulative amount of fine particulate matter accumulated for each predetermined distance. With floating amount,
The communication diagnostic system according to claim 1. The transmitting / receiving station log information further includes a noise level indicating a reception intensity in a section where the transmission wave is not received,
The diagnostic means calculates a determination level indicating a threshold of communication availability at the reception level from the reception level and the noise level, calculates a regression line of the reception level and the determination level, and calculates the reception level from the regression line Calculating a probability distribution that is less than or equal to the determination level and diagnosing the availability of the wireless communication in the transceiver station;
The communication diagnostic system according to any one of claims 1 to 3, wherein The diagnostic means calculates the correlation between the cumulative weather information and the reception level for each point at each predetermined distance, calculates the least square error of the correlation, and the least square error is the smallest. Based on the correlation, diagnoses the availability of the wireless communication in the transceiver station,
The communication diagnostic system according to any one of claims 1 to 4, wherein The transmitting / receiving station is a shipboard station installed in a ship that is navigating at sea or a ground station installed on the ground.
The communication diagnosis system according to claim 1, wherein The transceiver station navigates the sea and collects the cumulative weather information and the reception level for each season and region,
The diagnostic means constructs a database by calculating the correlation from the accumulated weather information collected and the received level, and refers to the database when the ship sails on the sea. And diagnosing the availability of the wireless communication in the area,
The communication diagnosis system according to claim 1, wherein In satellite communication that performs wireless communication between a transmitting / receiving station and a satellite,
Transmission / reception station log information having position information of the transmission / reception station, an azimuth indicating a direction from the transmission / reception station to the satellite, and a reception level indicating an output intensity of a transmission wave output by the satellite in the transmission / reception station;
A communication diagnosis method for acquiring weather information at a predetermined distance between the transmission / reception station and the satellite and diagnosing the availability of the wireless communication,
From the position information, the azimuth angle, and the weather information, a cumulative calculation process for calculating cumulative weather information at points for each predetermined distance;
A correlation between the accumulated weather information and the reception level is calculated, and based on the correlation, diagnosis is performed on the wireless communication at the transmitting / receiving station based on past, current or predicted accumulated weather information at the transmitting / receiving station. Diagnostic processing and
A communication diagnostic method characterized by comprising:

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