JP6504562B2 - Communication diagnostic system and communication diagnostic method - Google Patents

Description

  The present invention relates to a communication diagnostic system and communication diagnostic method for predicting and notifying communication availability in satellite communication.

  In recent years, the demand for speeding up ship communication has been rapidly increasing, but in order to respond to that, a high-speed satellite communication system called Global Xpress (hereinafter referred to as "GX") communication will be provided by Inmarsat. . This GX communication performs wireless communication using a transmission wave in a frequency band of 20 GHz to 30 GHz called Ka band. However, it is known that the radio communication using this Ka band may not be able to communicate because the output of the transmission wave is attenuated due to weather conditions such as rainfall.

  Conventionally, for example, there is known a network monitoring apparatus that acquires predicted rainfall after a predetermined time has elapsed from weather prediction data of a weather data server (see, for example, Patent Document 1). This network monitoring device predicts whether or not a line error will occur on the current line route from the predicted rainfall amount on the current line route, and if it predicts that a line error will occur, it is predicted that a line error will not occur. Switch to a circuit route.

JP, 2009-049593, A

  By the way, in actual wireless communication, not only rainfall but also fine particulate matter such as yellow sand, PM 2.5, and volcanic smoke may affect the output of transmission waves. In addition, in the situation where storms such as typhoons are approaching, wave spray on the sea may also affect. It is not easy to theoretically calculate the availability of wireless communication for all of these factors.

  Therefore, the present invention calculates the correlation between accumulated weather information indicating the distribution of rainfall amount, fine particulate matter and the like, and the output intensity of the transmission wave, and calculates availability of wireless communication in predetermined accumulated weather information. The purpose is to easily predict the availability of wireless communication.

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

  In the present invention, the accumulated weather information of a point at each predetermined distance between the transmitting and receiving station and the satellite is calculated from the positional information of the transmitting and receiving station, the azimuth angle indicating the direction from the transmitting to receiving station to the satellite, and the weather information. The correlation between the accumulated weather information and the reception level indicating the output intensity of the transmission wave output by the satellite is calculated. Further, based on this correlation, the propriety of the wireless communication in the transmitting and receiving station is diagnosed from the past, present or predicted accumulated weather information in the transmitting and receiving station.

  The invention according to claim 2 is the communication diagnostic system according to claim 1, wherein the weather information has a rainfall at a point for each predetermined distance, and the accumulated weather information is a predetermined point from the transmitting and receiving station It has the accumulated rainfall which accumulated the said rainfall for every said predetermined distance in between.

  The invention according to claim 3 is the communication diagnostic system according to claim 1, wherein the meteorological information includes the amount of rainfall of the points at each predetermined distance, and the floating amount of the microparticulate matter at the points at the predetermined distance. The accumulated meteorological information is accumulated accumulated rainfall obtained by accumulating the rainfall for each of the predetermined distances between the transmitting and receiving station to the predetermined point, and the floating amount of the fine particulate matter for each of the predetermined distances. And the accumulated amount of suspended micromaterials.

  The invention according to claim 4 is the communication diagnostic system according to any one of claims 1 to 3, wherein the transmission / reception station log information further indicates the reception strength in a section where the transmission wave is not received. The diagnosis means has a noise level, calculates a determination level indicating a threshold of communication availability in 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 less than the determination level is calculated from a regression line to diagnose whether the wireless communication in the transmitting and receiving station is possible or not.

  The invention according to claim 5 is the communication diagnostic system according to any one of claims 1 to 4, wherein the diagnostic means is configured to compare the accumulated weather information and the reception level for each point of the predetermined distance. A correlation is calculated, a least square error of the correlation is calculated, and the wireless communication in the transmitting and receiving station is diagnosed based on the correlation having the smallest least square error. .

  The invention according to claim 6 is the communication diagnostic system according to any one of claims 1 to 5, wherein the transmitting and receiving station is located on a ship station or on the ground installed in a ship sailing on the sea. It is characterized by being a ground station installed.

  The invention according to claim 7 is the communication diagnostic system according to any one of claims 1 to 5, wherein the transmitting and receiving station travels the sea and the accumulated weather information and the reception level for each season and area. Are collected, and the diagnostic means calculates the correlation from the accumulated weather information and the reception level to construct a database, and the ship refers to the database when the ship navigates the sea, the ship To diagnose the availability of the wireless communication in the season and area in which the satellite travels.

  The invention according to claim 8 is a satellite communication for performing radio communication between a transmitting / receiving station and a satellite, wherein position information of the transmitting / receiving station, an azimuth angle indicating a direction from the transmitting / receiving station to the satellite, and the transmitting / receiving station Transmitting / receiving station log information having a reception level indicating the output intensity of the transmission wave output by the satellite in the above, and weather information of a point at each predetermined distance between the transmitting / receiving station and the satellite; Communication diagnosis method for diagnosing the propriety of communication, and calculating the accumulated weather information of the points for each of the predetermined distances from the position information, the azimuth angle, and the weather information, and the accumulated weather information Calculating the correlation between the reception level and the reception level, and based on the correlation, the availability of the wireless communication in the transmission / reception station from the past, current or predicted accumulated weather information in the transmission / reception station Diagnostic process of disconnection, and having a.

  According to the invention as set forth in claim 1 and claim 8, in the transmitting / receiving station, whether the wireless communication in the transmitting / receiving station is diagnosed or not is diagnosed from the past, current or predicted accumulated weather information in the transmitting / receiving station. It is possible to easily predict the availability of wireless communication. Therefore, when GX communication can not be performed, it is easy to distinguish whether the cause is due to weather conditions or a failure, and therefore, it is possible to quickly respond to an inquiry from a customer using GX communication that wireless communication can not be performed. You will be able to investigate and answer the cause. Also, if it is predicted in advance that wireless communication between a given transceiver station and a satellite will not be possible due to weather conditions, if another transceiver station is available, that transceiver station will be used to Operation such as performing wireless communication is possible.

  According to the invention as set forth in claim 2, the propriety of the wireless communication in the transmitting and receiving station is diagnosed based on the correlation between the accumulated rainfall and the reception level, thereby correlating the concrete weather condition and the propriety of the wireless communication. It is possible to clarify the relationship.

  According to the invention as set forth in claim 3, specific meteorological conditions and the atmosphere can be obtained by diagnosing the propriety of the wireless communication in the transmitting and receiving station based on the correlation between the accumulated rainfall and the accumulated amount of suspended micromaterials and the reception level. It is possible to clarify the correlation between the state of and the availability of wireless communication.

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

  According to the invention as set forth in claim 5, the least squares error of the correlation is calculated, and based on the correlation of the point where the least square error is the smallest, the propriety of the wireless communication in the transmitting and receiving station is diagnosed, thereby more accurate. It is possible to calculate the availability of wireless communication.

  According to the invention as set forth in claim 6, since the transmitting and receiving station may be any of a shipboard station installed in a ship sailing on the sea or a ground station installed on the ground, the transmitting and receiving station is moving. Even the present invention can be applied.

  According to the invention as set forth in claim 7, the correlation is calculated for each season and area to construct a database, and when the ship navigates, the availability of wireless communication in the season and area where the database is referred to navigate Since diagnosis is performed, it is possible to instantaneously determine the availability of wireless communication in the season and area in which the user navigates.

BRIEF DESCRIPTION OF THE DRAWINGS It is a block diagram which shows the outline of the communication diagnostic system 1 which concerns on embodiment of this invention. It is a schematic diagram which shows the example which calculates the accumulation rainfall in the communication diagnostic system 1 of FIG. It is a figure which shows the example of the correlation of the accumulation rainfall which the instance 31a of FIG. 1 calculated, and the reception level of the transmission wave DW. FIG. 7 is a diagram showing an example of calculating a probability distribution from the correlation in FIG. 3, a diagram showing an example of calculating a probability distribution and variance of a reception level and a determination level, and a probability distribution where the reception level is less than the determination level It is a figure (b) which shows the example which calculates. It is a figure which shows correlation with the accumulation rainfall, the receiving level, and the determination level in the point of 0.0 degree from the GX terminal 11 of FIG. It is a figure which shows correlation with the reception level of the accumulation rainfall, the reception level, and the determination level in the point of 0.1 degree from GX terminal 11 of FIG. It is a figure which shows correlation with the reception level of the accumulation rainfall, the reception level, and the determination level in the 0.2 degree point from GX terminal 11 of FIG. It is a figure which shows correlation with the reception level of the accumulation rainfall, the reception level, and the determination level in the 0.3 degree point from GX terminal 11 of FIG. It is a figure which shows correlation with the reception level of the accumulation rainfall, the reception level, and the determination level in the 0.4 degree point from GX terminal 11 of FIG. It is a figure which shows correlation with the reception level of the accumulation rainfall, the reception level, and the determination level in the 0.5 degree point from GX terminal 11 of FIG. It is a figure which shows correlation with the reception level of the accumulation rainfall, the reception level, and the determination level in the 0.6 degree point from GX terminal 11 of FIG. It is a figure which shows correlation with the reception level of the accumulation rainfall, the reception level, and the determination level in the point of 0.7 degree from the GX terminal 11 of FIG. It is a figure which shows correlation with the reception level of the accumulation rainfall, a reception level, and the determination level in the point of 0.8 degrees from the GX terminal 11 of FIG. It is a figure which shows correlation with the reception level of the accumulation rainfall, the reception level, and the determination level in the point of 0.9 degrees from the GX terminal 11 of FIG. It is a figure which shows correlation with the reception level of the accumulation rainfall, the reception level, and the determination level in the point of 1.0 degree from the GX terminal 11 of FIG. It is a figure which shows correlation with the reception level of the accumulation rainfall, the reception level, and the determination level in the point of 1.1 degree from GX terminal 11 of FIG. It is a figure which shows the example which computed the probability from which communication is impossible from the correlation of FIG.

  Hereinafter, the present invention will be described based on the illustrated embodiments.

  The communication diagnostic system 1 according to the embodiment of the present invention is a system for diagnosing the possibility of wireless communication between the GX satellite S (satellite) and the transmitting / receiving station BS, and as shown mainly in FIG. S, a transmitting / receiving station BS, a weather 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 wireless communication with the transmitting / receiving station BS using the transmission wave DW in the frequency band of Ka band. The Ka band is a frequency range susceptible to weather conditions such as rainfall, yellow sand, PM 2.5, and fine particulate matter such as volcanic smoke, and the output attenuates due to these influences, and wireless communication can not be performed. There is a case.

  The transmitting and receiving station BS is provided in a vessel navigating the sea, and performs communication with other vessels and transmitting and receiving stations provided on the ground by performing wireless communication with the GX satellite S and the transmission wave DW. Yes, the GX terminal 11 is installed. The transmitting and receiving station BS may be provided on the ground.

  The GX terminal 11 is a communication interface device that transmits and receives the 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. In addition, 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 angle indicating a direction from the transmission / reception station BS to the GX satellite S, and output intensity of the transmission wave DW. It has a function (log information acquisition means) for acquiring transmission / reception station log information such as reception level and noise level indicating reception intensity in a section where the transmission wave DW is not received, and storing the information 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 meteorological sea condition information acquisition station WS is a facility for acquiring meteorological observation information and sea condition information, and a meteorological sea condition server 21 is installed. The meteorological and oceanographic server 21 is a server computer having a function (meteorological information acquisition means) for acquiring meteorological observation information and seaographic information, and transmitting it to the cloud server CS, and is, for example, meteorological data acquired from the meteorological service support center It provides weather information WD. The weather information WD is, for example, a file of GPV format, and as shown in FIG. 2, points at predetermined distances on the arrow L1 extending in the direction from the GX terminal 11 to the GX satellite S in the transmitting and receiving station BS (for example, It has various meteorological data such as rainfalls at points where the latitude and longitude are 0.02 °), P1, P2, ..., P7.

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

  The virtual machine 31 is a mechanism for sharing one hardware resource by a plurality of operating systems (OSs) and application software, allocating the OS and the application software to a plurality of users and operating them independently. The virtual machine 31 uses, for example, Amazon EC2 (registered trademark) which is one of AWS services. The virtual machine 31 stores, on 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 to be used by the instance 31a, and is accessed by the instance 31a. The data storage 32 uses, for example, Amazon S3, which is one of AWS services. The data storage 32 has a bucket 32 a for storing various data. The instance 31a is configured to generate a plurality of instances 31a1, 31a2, 31a3, ... in accordance with the amount 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 meteorological and oceanographic server 21 in the bucket 32a. Further, the instance 31a reads the archive AR and the weather information WD, and from the rainfall of the points P1, P2, ..., P7 shown in FIG. 2 in the weather information WD, the point P1 from the GX terminal 11 in the transmitting / receiving station BS , P2,..., P7 has a function (accumulation calculation means) that calculates accumulated rainfall (accumulated weather information) and outputs it to the accumulated information AD. Furthermore, the instance 31a has a function (diagnosis means) that acquires accumulated information AD, calculates a correlation, and diagnoses the wireless communication with the GX satellite S based on this correlation. The accumulated information AD is, for example, a file in CSV format.

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

  This communication diagnosis method has accumulated calculation processing and diagnosis processing by the instance 31a. The cumulative calculation process reads the archive AR and the weather information WD, and between the GX terminal 11 and the points P1, P2, ..., P7 from the rainfalls of the points P1, P2, ..., P7 shown in FIG. For example, when the accumulated rainfall to the point P3 in FIG. 2 is calculated, the accumulated rainfall at the points P1, P2, and P3 is accumulated and calculated.

  In the diagnosis processing, first, as shown in FIG. 3, a straight line L2 indicating the correlation between the cumulative rainfall calculated by the instance 31a and the reception level and a broken line L3 indicating the correlation between the cumulative 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 not possible when the reception level is below this value, and a predetermined calculation is performed on the noise level. Calculated. Points indicated by black circles in FIG. 3 are points P1, P2,..., P7 (eg, GX terminal 11) in FIG. 2 at predetermined intervals (eg, 10 seconds) within a predetermined period (eg, January). From this point, the latitude and longitude are points that indicate the reception level at the time of accumulated rainfall calculated from the rainfall obtained at every 0.02 ° and the range of 0.8 °), and the point shown by × is the accumulated during the same period It is a point which shows the noise level at the time of rainfall, and the point shown by the white circle is a point which shows the judgment level at the time of the accumulation rainfall during the same period. The straight line L2 is a regression line calculated using the least square method from the point of the reception level of FIG. 3, and the broken line L3 is a regression line calculated using the least square method from the point of the determination level of FIG. 3. This correlation is calculated for each of the points P1, P2, ..., P7 at which the accumulated rainfall is calculated.

  Next, a least square error is calculated for a 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 is described below.

  As shown in FIG. 2, when performing wireless communication 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, although the rainfall between the points P1 to P4 affects the wireless communication between the GX terminal 11 and the GX satellite S, the rainfall between the points P5 to P7 is between the GX terminal 11 and the GX satellite S It is considered not to affect the wireless communication of That is, among the accumulated rainfalls calculated for each of the points P1, P2, ..., P7, it is considered that the accumulated rainfall at the point P4 where the rainfalls between the points P1 to P4 are accumulated is most correlated with the reception level The least squares error of the regression line at this time is considered to be the smallest. Therefore, 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 indicated.

Next, as shown in FIG. 4A, the probability distribution curve and the 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 indicates the correlation between the accumulated rainfall and the reception level, the broken line L5 indicates the correlation between the accumulated rainfall and the determination level, and the distribution curves WL11, WL12, WL13, and WL14 indicate predetermined correlations with the straight line L4. The distribution curves WL21, WL22, WL23 and WL24 indicate probability distribution curves at predetermined points of the broken line L5. Also, the relational expression of the straight line L4 is
Y1 = An * X + Bn
The variance of this reception level Y1 is σ1. The relational expression of the broken line L5 is
Y2 = Am * X + Bm
The variance of this 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 value Y obtained by subtracting the reception level Y1 from the determination level Y2 is larger than 0 if the determination level is higher than the reception level, that is, if communication between the GX terminal 11 and the GX satellite S is impossible. is there. Therefore, the probability that the communication between the GX terminal 11 and the GX satellite S becomes impossible is calculated by adding the variances σ1 and σ2 and calculating the probability that this Y will be a value greater than 0, and the GX terminal 11 It is possible to diagnose whether or not the communication with the GX satellite S is possible.

5 to 16 show the cumulative rainfall calculated from the rainfall obtained in the range of 0.0 ° to 1.1 ° every 0.1 ° from the GX terminal 11, and the reception level and the determination level Is a diagram showing the correlation of The straight lines L11, L12,..., L22 in FIG. 5 to FIG. 16 show the correlation between accumulated rainfall and the reception level, and the broken lines L31, L32,. It shows. Further, points indicated by black circles, points indicated by x, and points indicated by white circles indicate the reception level, the noise level, and the determination level, respectively, as in FIG. 3. 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 squares 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 errors E1, E2,..., E12 have the largest values of the least square error E1, and gradually become smaller as the least squares errors E2, E3,. The squared error E6 shows the smallest value. Thereafter, although the increase and decrease are repeated as the least square errors E7, E8,..., The value is larger than the least square error E6. Therefore, a straight line L16 and a broken line L36 relating to the least square error E6 at 0.5 ° from the GX terminal 11 shown in FIG. 10 are 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, probability distribution curves and variances 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 indicate the variance of the probability distribution curve at the reception level Y = A6 * X + B6. It is transition of the value which added and subtracted standard deviation F1 which is a square root, and the dashed-two dotted line L361, L362 is transition of the value which added and subtracted standard deviation F2 in probability distribution curve of judgment level Y = C6 * X + D6. . It is the curve WL4 that calculates the probability that the value obtained by subtracting the reception level from the determination level becomes greater than 0 from these probability distribution curves, and the vertical axis on the right side of FIG. 17 indicates the value. As shown by the curve WL4, as the value of the determination level Y = C6 * X + D6 becomes closer to the value of the reception level Y = A6 * X + B6, the probability of the curve WL4 increases and the value of the determination level becomes equal to the value of the reception level. 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 will not be possible, whereby it is possible to diagnose whether communication between the GX terminal 11 and the GX satellite S is possible.

  The correlation between such accumulated rainfall and the reception level and the determination level is different depending on the season and the area. For example, in Japan and the surrounding area, the height of the cloud differs between the rainy season and the summer when cumulonimbus occurs. In addition, in the area near the equator, squall occurs in a certain time zone during the rainy season. Therefore, when the ship on which the GX terminal 11 is installed navigates the sea around the world, the transmitting and receiving station log information in each season and each area is collected to construct a database, and the communication impossible rate for each season and each area Calculate in advance. This failure rate is updated periodically (eg, once a month, twice a year, etc.) because it may change due to environmental changes. As a result, the communication impossibility of each ship can be determined instantaneously by referring to the model for calculating the impossibility of communication in the season and area if the time, the reception level, and the weather information when the ship navigates a predetermined position are known. It is possible to calculate.

  As described above, according to the communication diagnostic system 1 and the communication diagnostic 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 And a broken line L36 indicating the correlation between the two, and a curve WL4 indicating the probability that communication between the GX terminal 11 and the GX satellite S becomes impossible is calculated from the probability distribution. As a result, since the probability that communication between the GX terminal 11 and the GX satellite S becomes impossible is calculated, it is possible to easily diagnose whether the communication between the GX terminal 11 and the GX satellite S is possible.

  In addition, communication between the GX terminal 11 and the GX satellite S is performed by changing the distance from the GX terminal 11 and calculating the accumulated rainfall for each predetermined distance, calculating the least squared error thereof and determining the minimum case. The probability of becoming impossible can be predicted accurately.

  The embodiment of the present invention has been described above, but the specific configuration is not limited to the above embodiment, and even if there is a change in design or the like within the scope of the present invention, Included in the invention. For example, in the above embodiment, although the correlation is calculated by acquiring the amount of rainfall from the meteorological information WD, not only the amount of rainfall but, for example, fine particulate matter such as yellow sand, PM 2.5, and volcanic smoke It is also possible to obtain information on the amount of floating in and calculate the accumulated microparticulate matter to calculate the correlation. In addition, since it is considered that the amount of suspended particulate matter will decrease in the case of rainfall, correlation may be calculated for both the amount of suspended particulate matter and the amount of suspended rainfall, and may be weighted by the amount of rainfall. .

  Moreover, in said embodiment, although the regression line was calculated from all the values of the acquired reception level and noise level, you may use only a one part value using predetermined | prescribed statistical processing. For example, a method using a mode corresponding to a predetermined cumulative rainfall, a method of excluding a value that deviates from a probability distribution curve by a predetermined value (for example, twice the standard deviation) or more may be used.

1 Communication diagnosis system 11 GX terminal (log information acquisition means)
21 weather sea state server (weather 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 (transmitter and receiver log information)
BS transceiver station CS cloud server DW transmission wave S GX satellite WD weather information WS weather sea condition information acquisition station

Claims (8)

In a communication diagnostic system for diagnosing the availability of the wireless communication in satellite communication in which wireless communication is performed between a transmitting / receiving station and a satellite.
Transmitting / receiving station log information having position information of the transmitting / receiving station, an azimuth angle indicating the direction from the transmitting / receiving station to the satellite, and a reception level indicating the output intensity of the transmission wave output from the satellite at the transmitting / receiving station Log information acquisition means to acquire,
Weather information acquisition means for acquiring weather information of points at predetermined distances between the transmitting and receiving station and the satellite;
Cumulative calculation means for calculating accumulated weather information of points at each of the predetermined distances from the position information, the azimuth, and the weather information;
The correlation between the accumulated weather information and the reception level is calculated, and based on the correlation, the propriety of the wireless communication in the transmitting / receiving station is diagnosed from the past, current or predicted accumulated weather information in the transmitting / receiving station Diagnostic means,
A communication diagnostic system comprising: The meteorological information has rainfall at a point for each of the predetermined distances,
The accumulated weather information has accumulated rainfall obtained by accumulating the rainfall for each predetermined distance between the transmitting and receiving station and a predetermined point.
The communication diagnostic system according to claim 1, characterized in that The meteorological information has rainfall of points at each predetermined distance and floating amount of fine particulate matter at points at each predetermined distance,
The accumulated meteorological information includes accumulated rainfall obtained by accumulating the rainfall for each predetermined distance from the transmitting / receiving station to a predetermined point, and accumulated minute material obtained by accumulating the floating amount of the fine particulate matter for each predetermined distance Have a floating amount,
The communication diagnostic system according to claim 1, characterized in that The transmission / reception station log information further has a noise level indicating a reception strength 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 the reception level from the regression line Calculating a probability distribution where the value of the signal is equal to or less than the determination level, and diagnosing whether the wireless communication is possible at the transmitting and receiving station,
The communication diagnostic system according to any one of claims 1 to 3, characterized in that: The diagnostic means calculates the correlation between the accumulated weather information and the reception level for each point of the predetermined distance, respectively, and calculates the least square error of the correlation, and the least square error is the smallest. Based on the correlation, diagnosing whether or not the wireless communication is in the transmitting and receiving station;
The communication diagnostic system according to any one of claims 1 to 4, characterized in that: The transmitting and receiving station is a shipboard station installed in a ship navigating the sea or a ground station installed on the ground.
The communication diagnostic system according to any one of claims 1 to 5, characterized in that: The transceiver station travels the sea and collects the accumulated weather information and the reception level for each season and area;
The diagnostic means calculates the correlation from the collected accumulated weather information and the reception level to construct a database, and refers to the database when the vessel navigates the sea, and the season the vessel navigates And diagnosing the availability of the wireless communication in the area,
The communication diagnostic system according to any one of claims 1 to 5, characterized in that: In satellite communication for wireless communication between a transmitting / receiving station and a satellite,
Transmission / reception station log information having reception information indicating position information of the transmission / reception station, an azimuth angle indicating a direction from the transmission / reception station to the satellite, and output intensity of a transmission wave output from the satellite at the transmission / reception station;
A communication diagnostic method for acquiring weather information of a point at a predetermined distance between the transmitting and receiving station and the satellite, and diagnosing availability of the wireless communication,
Cumulative calculation processing for calculating cumulative weather information of points at each of the predetermined distances from the position information, the azimuth angle, and the weather information;
The correlation between the accumulated weather information and the reception level is calculated, and based on the correlation, the propriety of the wireless communication in the transmitting / receiving station is diagnosed from the past, current or predicted accumulated weather information in the transmitting / receiving station Diagnostic processing,
A communication diagnostic method comprising:

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