JP7230512B2 - DATA PROCESSING DEVICE, DATA PROCESSING METHOD, AND PROGRAM - Google Patents

Description

The present invention relates to a data processing device, a data processing method, and a program.

For example, in an air traffic control system, it is necessary for air traffic controllers to keep track of the latest information regarding the location of aircraft, and there is also a demand for accumulating as much past information as historical information for future use. In a system that stores data with such characteristics in a database, when a large amount of data is generated in a short period of time, or when the system falls into a degraded state due to the occurrence of a failure, etc., the writing process to the database cannot keep up with the reference. Data can become outdated. As a result, for example, air traffic controllers may not be able to refer to the latest flight data (aircraft position information). In order to always be able to refer to the latest information and history information, it is necessary to construct a large-scale system from the viewpoint of ensuring performance and redundancy, which increases the cost.

In order to avoid the above problem, Patent Document 1 discloses a device that controls the order of writing to a database using a queue. When the system is under heavy load, data is extracted from the tail end of the queue and written to the database, so that the latest information is always available. Techniques for enabling referencing are described.

Patent Document 2 describes a technique for regulating registration in a queue that receives control messages when a congestion state is detected in a congestion control system that effectively controls congestion in a service network. It is
In Japanese Patent Laid-Open No. 2004-100003, the pending elapsed time after the start of suspension of each transaction held in the queue of the transaction processing device is individually monitored, and when the transaction reaches the preset holding limit time, an event is disclosed to the terminal device to suppress the transaction.

JP 2018-132971 A JP 2008-172517 A JP-A-2000-222357

However, in the above related technology, the data processed when the system is under heavy load is always the newest data at the end of the queue, and the old data is discarded. Therefore, there is a possibility that a large loss may occur in the history information. In addition, since all received data that occurs during high load is registered in the queue and processed, an increase in the number of retained data may delay the time from receiving data to referencing it, which may cause performance deterioration. be.

SUMMARY OF THE INVENTION Accordingly, it is an object of the present invention to provide a data processing apparatus, a data processing method, and a program that can solve the above problems.

According to the first aspect of the present invention, a data processing device includes a queue storage unit that temporarily stores data in a queue, a load state detection unit that detects a load on the device, and a a data write determination information storage unit for storing information serving as a reference for specifying data to be written; a data write determination unit that determines whether or not to write to a database, a queue registration unit that writes the data to be written determined to be written to the queue, and the data to be written from the queue to be written to the database and a queue retrieving unit for retrieving the .

According to a second aspect of the present invention, a data processing method detects a load on its own device, and writes data to be written under high load when the detected load is equal to or greater than a predetermined threshold. Determining whether or not to write the acquired data to a queue according to a criterion, writing the data to be written determined to be written to the queue, and retrieving the data to be written from the queue for writing to a database It is characterized by

According to the third aspect of the present invention, the program causes the computer of the data processing device to detect the load status detection means for detecting the load on the device, and if the detected load is equal to or higher than a predetermined threshold, the high data write determination means for determining whether or not to write acquired data in a queue according to a criterion for writing data to be written under load; queue registration means for writing the data to be written determined to be written to the queue; It is characterized by functioning as a queue retrieving means for retrieving the data to be written from the queue in order to write the data into a database.

According to the present invention, new data can be referred to from the database without causing a large loss of history information even when the load on the data processing device is high.

It is a figure which shows the structure of the data processing apparatus by embodiment of this invention. FIG. 4 is a schematic diagram illustrating an example of sensor data according to an embodiment of the invention; 4 is a schematic diagram showing a data configuration and data examples of a time management table for determination according to the embodiment of the present invention; FIG. 4 is a schematic diagram showing a data structure and data examples of an important point coordinate management table according to the embodiment of the present invention; FIG. 4 is a schematic diagram showing a data structure and data examples of a system load status management table according to the embodiment of the present invention; FIG. FIG. 4 is a schematic diagram illustrating an example of a data structure of a queue according to an embodiment of the invention; It is a figure which shows the hardware constitutions of the data processor by embodiment of this invention. 4 is a flow chart showing the flow of data processing according to an embodiment of the present invention; 4 is an image diagram showing an example of display data according to the embodiment of the present invention; FIG. 1 is a diagram showing the minimum configuration of a data processing device of the present invention; FIG.

A data processing apparatus, a data processing method, and a program according to an embodiment of the present invention will be described below with reference to the drawings.

FIG. 1 is a diagram showing the configuration of a data processing apparatus according to this embodiment.
The data processing device 100 is a device that writes data received from the plurality of sensor units 200 to a database and outputs data stored in the database so that the operator US can refer to the data.

The sensor unit 200 includes a sensor, a storage unit that stores a sensor ID (IDentification) of its own device, and a transmission unit that assigns a sensor ID to sensor data sensed (detected) by the sensor and transmits the sensor data to the data processing device 100. Prepare. Sensing is to measure or detect or take. The sensor ID is identification information that identifies each sensor unit 200 . In this embodiment, a case where the sensor unit 200 includes a radar, a GPS (Global Positioning System), etc. mounted on each aircraft will be described as an example. The sensor data in this embodiment includes positional information of the aircraft and the time when the positional information was sensed. Location information includes latitude, longitude, and altitude.

The data processing device 100 includes a data receiving section 11 , a database writing control device 12 , a data writing section 13 , a storage device 14 , a data reading section 15 and a data output control section 16 .

The data reception unit 11 receives sensor data from each sensor unit 200 and outputs a write request including the received sensor data to the database write control device 12 .

The database writing control device 12 controls the writing order of the sensor data received by the data receiving unit 11 to the database using a queue. The database write control device 12 includes a load status detection unit 121, a data write determination information storage unit 122, a data write determination unit 123, a queue registration unit 124, a queue storage unit 125, and a queue extraction unit 126. , provided.

The load status detector 121 detects the load status of the system at predetermined time intervals. The load status of the system is, for example, the load on the data processing device 100 . For example, the load status detection unit 121 detects, as the load status, the retention rate of queues stored in the queue storage unit 125 and the usage rate of a CPU (Central Processing Unit). In addition, the load status detection unit 121 may also detect the usage status of I/O (Input/Output) resources, the instruction input by the system user's command operation, and the like as the load status. The load condition detection material can be set by the system user according to the system characteristics. The load status detection unit 121 rewrites and updates the data writing determination information stored in the data writing determination information storage unit 122 based on the detected load status.

The data write determination information storage unit 122 stores data write determination information that is a criterion for determining whether or not the data write determination unit 123 writes data, and is a standard for specifying data to be written. . The data write determination information stores the time management table for determination that indicates the generation time of the sensor data written to the queue last time, and the time interval for writing sensor data during high load according to each distance from each of multiple points. and a system load status management table that indicates the load status of the system.

The data writing determination unit 123 determines whether or not to write the acquired sensor data to the database based on the data writing determination information stored in the data writing determination information storage unit 122 . The acquired sensor data is sensor data included in the write request input from the data receiving unit 11 . For example, when the load applied to the data processing apparatus 100 detected by the load status detection unit 121 is equal to or greater than a predetermined threshold value, the data write determination unit 123 queues sensor data for each sensor ID according to the data write determination information. is written. In other words, when the detected load is equal to or greater than the predetermined threshold, the data write determination unit 123 puts the data in the queue when the time interval indicated by the data write determination information has passed since the time when the previously written data was generated. It is determined to write the sensor data to be written. At this time, the data write determination unit 123 determines whether or not to write the sensor data to the queue based on the minimum value of the time intervals corresponding to the distances between the position information indicated by the sensor data and each point. When the data write determination unit 123 determines to write the sensor data, it outputs a write request to the queue registration unit 124 . On the other hand, when the data write determining unit 123 determines not to write the sensor data, it discards the sensor data.

When a write request is input from the data write determination unit 123, the queue registration unit 124 registers the queue corresponding to the sensor ID indicated by the sensor data included in the write request among the queues stored in the queue storage unit 125. Write and add the sensor data at the end of . The queue registration unit 124 then outputs a retrieval request including the sensor ID of the added sensor data to the queue retrieval unit 126 .
The queue storage unit 125 is a storage area that temporarily stores sensor data by a queue that exists for each sensor ID.

When a request for retrieval is input from the queue registration unit 124, the queue retrieval unit 126 retrieves one sensor data from the head of the queue corresponding to the sensor ID included in the request for retrieval. Queue extractor 126 then outputs a data write request including the extracted sensor data to data writer 13 .

When a data write request is input from queue extractor 126 , data writer 13 writes the sensor data included in the data write request to the database stored in storage device 14 . After that, the data writing unit 13 outputs a read request including the sensor ID of the written sensor data to the data reading unit 15 .
The storage device 14 stores a database that stores sensor data for each sensor ID.

When a reading request is input from the data writing unit 13 , the data reading unit 15 reads the sensor data of the sensor ID included in the reading request from the database stored in the storage device 14 . The data reading unit 15 then outputs the read sensor data to the data output control unit 16 .

Data output control unit 16 executes a data reference program using the input sensor data to generate display data to be displayed on display 300 . The data output control unit 16 then outputs the generated display data to the display 300 . The data reference program is a program that processes sensor data to generate display data to be displayed on display 300 . The display data is, for example, data for displaying graphs, trajectory charts, and the like.

The display 300 is a display device that displays display data input from the data output control section 16 . The operator US can refer to the information displayed on the display 300 to confirm the movement route of the aircraft based on the sensor data.

FIG. 2 is a schematic diagram showing an example of sensor data according to this embodiment.
As shown in this figure, the sensor data includes a sensor ID, coordinate data, and time of occurrence. Coordinate data is position information indicating latitude, longitude, and altitude. The occurrence time is the time when the position information is sensed.

FIG. 3 is a schematic diagram showing the data configuration and data example of the determination time management table according to the present embodiment.
As shown in the figure, the determination time management table is a table that associates and stores items such as the sensor ID and the previous processed data generation time. The previous processed data generation time is the generation time of the sensor data written in the queue last time.

FIG. 4 is a schematic diagram showing the data structure and data examples of the important point coordinate management table according to this embodiment.
As shown in the figure, the important site coordinate management table is a table that stores position information and writing time intervals in association with each other. The location information includes location names and coordinates. The location name is the name of the location. The point is, for example, an important base. The coordinates are position information indicating the latitude, longitude, and altitude of the corresponding point with coordinate data. The write time interval is a time interval for writing sensor data under high load according to each distance to the corresponding point. In the illustrated example, write time intervals are set corresponding to distances to points within 10 km, within 50 km, within 100 km, and outside 100 km.

The important site coordinate management table allows the system user to set the writing time interval for each point according to the distance to that point. For example, the more important the point, the shorter the writing time interval, and the less important point, the longer the writing time interval. As a result, it is possible to write to the queue more frequently for more important bases, and to write to the queue at certain time intervals for less important bases.

In the illustrated example, at point C, the writing time interval is 60 seconds within a 10 km radius, 120 seconds within a 50 km radius, 300 seconds within a 100 km radius, and 300 seconds outside a 100 km radius. At airport B, which is more important than point C, the writing time interval is 30 seconds within 10 km, 60 seconds within 50 km, 120 seconds within 100 km, and 300 seconds outside 100 km, which are shorter than point C. In addition, at A airport and F point, which are important bases, the writing time interval is 10 seconds within 10 km, 30 seconds within 50 km, 60 seconds within 100 km, and 120 seconds outside 100 km. short.

FIG. 5 is a schematic diagram showing the data structure and data examples of the system load status management table according to this embodiment.
As shown in this figure, the system load status management table includes a queue retention rate, a CPU usage rate, a retention rate threshold, and a usage rate threshold. The queue retention rate is the retention rate of the queue detected by the load status detection unit 121 . The CPU usage rate is the usage rate of the CPU detected by the load status detection unit 121 . The retention rate threshold is a queue retention rate threshold at which a high load is determined. The usage rate threshold is a threshold of the CPU usage rate for determining that the load is high. The retention rate threshold and usage rate threshold can be set by the system user. In the illustrated example, the queue retention rate is 80%, which is greater than the retention rate threshold of 70%. Also, the CPU utilization is 78%, which is greater than the utilization threshold of 70%. Therefore, in this example, the data writing determination unit 123 determines that the load condition of the system is high.

FIG. 6 is a schematic diagram showing an example of the data structure of a queue according to this embodiment.
As shown in the figure, the queue storage unit 125 stores a pair of queue control information 410 and queue 420 for each sensor ID. Queue control information 410 includes sensor ID 411 and head position pointer 412 . The leading position pointer 412 is a pointer pointing to the leading sensor data 421 - 1 to be taken out in the corresponding queue 420 . The head position pointer 412 is updated as sensor data is added by the queue registration unit 124 and sensor data is extracted by the queue extraction unit 126 . Each sensor data 421 stored in the queue 420 has pointers to the sensor data 421 immediately before and the sensor data 421 immediately after. The latest sensor data 422 is added to the tail of the queue 420 .

FIG. 7 is a diagram showing the hardware configuration of the data processing device according to this embodiment.
As shown in this figure, a data processing device 100 includes hardware such as a CPU (Central Processing Unit) 101, a ROM (Read Only Memory) 102, a RAM (Random Access Memory) 103, a mass storage device 104, a communication module 105, and the like. It is a computer with

FIG. 8 is a flow chart showing the flow of data processing according to this embodiment.
When the data processing device 100 receives sensor data from the sensor unit 200, the data processing device 100 executes the data processing shown in the figure.

First, the data writing judgment unit 123 reads the data writing judgment information stored in the data writing judgment information storage unit 122, and judges the load status of the system based on the read data writing judgment information (step S101). .

Subsequently, the data writing determination unit 123 determines whether or not the load condition of the system is high (step S102). Specifically, when the queue retention rate in the read system load status management table is equal to or higher than the retention rate threshold, or the CPU usage rate is equal to or higher than the usage rate threshold, the data write determination unit 123 Determine that there is. If the load status of the system is not high (normal) (step S102; NO), the data write determination unit 123 proceeds to the process of step S108, and writes the unconditionally received sensor data to the queue. processed as

On the other hand, if the load status of the system is high (step S102; YES), the data writing determination unit 123 performs , the distance between the aircraft (sensor unit 200) and each point is calculated. Subsequently, the data writing determining unit 123 reads out and obtains the writing time intervals corresponding to the calculated distances to each point from the important point coordinate management table (step S103). For example, in the data example shown in FIG. 4, if the distance between the point "airport A" and the aircraft is 45 km, the writing time interval of the sensor data is 30 seconds.

Subsequently, the data writing determining unit 123 selects the minimum value from the writing time intervals obtained for each point (step S104). Subsequently, the data writing determination unit 123 reads the previous processed data generation time corresponding to the sensor ID of the received sensor data from the time management table for determination. Then, the data writing determination unit 123 compares the time of occurrence indicated by the received sensor data of this time with the time of occurrence of the read previous processed data (step S105). Then, the data writing determination unit 123 determines whether or not the writing time interval has passed since the generation time indicated by the current sensor data (step S106). If the write time interval has not elapsed (step S106; NO), the data write determination unit 123 discards the sensor data received as not to be written, and terminates the process.

On the other hand, when the writing time interval has passed (step S106; YES), the data writing determination unit 123 calculates the difference between the time when the received sensor data was generated and the time when the sensor data was received ( step S107). This time difference is effective information when a lag occurs due to stagnation or the like in data transmission/reception between the sensor unit 200 and the data receiving unit 11, and can be output on the display 300 as additional information of the aircraft position. The data writing determination unit 123 adds the calculated time difference to the sensor data.

After that, the data writing determination unit 123 rewrites the previous processing data generation time corresponding to the sensor ID of the received sensor data to the generation time included in the received sensor data, and updates the determination time management table (step S108). ).

Subsequently, the data write determination unit 123 outputs a write request to the queue registration unit 124 . The queue registration unit 124 adds the sensor data included in the input write request to the end of the queue 420 of the corresponding sensor ID (step S109). More specifically, the queue registration unit 124 determines whether the queue 420 corresponding to the sensor ID included in the sensor data already exists in the queue storage unit 125 . If the queue 420 corresponding to the sensor ID does not exist, the queue registration unit 124 creates a pair of the corresponding queue control information 410 and queue 420 and writes the sensor data into the created queue 420 . After that, the queue registration unit 124 transmits an extraction request including the sensor ID of the added sensor data to the queue extraction unit 126 . On the other hand, when the queue 420 corresponding to the sensor ID exists, the queue registration unit 124 writes and adds the sensor data to the end of the queue 420, and queues a retrieval request including the sensor ID of the added sensor data. Output to unit 126 .

Queue extractor 126 extracts sensor data 421 - 1 from the head of queue 420 in accordance with the extract request input from queue register 124 . Then, the queue extractor 126 rewrites and updates the head position pointer 412 so as to point to the next sensor data 421-2. After that, the queue fetching unit 126 outputs a write request including the fetched sensor data to the data writing unit 13 . When the write request is input from the queue extractor 126, the data writer 13 writes the sensor data included in the write request to the database stored in the storage device 14 (step S110). After that, the data writing unit 13 outputs a read request including the sensor ID of the written sensor data to the data reading unit 15 .

When a reading request is input from the data writing unit 13 , the data reading unit 15 reads the sensor data of the sensor ID included in the reading request from the database stored in the storage device 14 . The data reading unit 15 then outputs the read sensor data to the data output control unit 16 . The data output control unit 16 generates display data to be displayed on the display 300 using the input sensor data, and outputs the generated display data to the display 300 to update the display of the display 300 (step S111). After that, the process ends.

FIG. 9 is an image diagram showing an example of display data according to this embodiment.
The display data illustrated in this figure is the history of aircraft position information, that is, the movement route of the aircraft.
FIG. 9A shows the history of aircraft position information when the load condition is normal (not high load). As shown in the figure, the data processing device 100 writes all the received sensor data to the database when the load condition is normal, so it is possible to display all the positional information from time P1 to time P7. .

FIG. 9B shows the history of aircraft position information when the load situation is high in the above-described related technology. This figure illustrates a case where the load condition becomes high at time P4. As shown in the figure, in the related technology, since the position information from time P5 to time P7 after time P4 when the load situation becomes high is not written in the database, it is not possible to refer to the history of the position information during that time. .

FIG. 9(C) shows the history of aircraft position information when the load condition is high in the present invention. This figure illustrates a case where the load condition becomes high at time P4. As shown in the figure, the data processing device 100 thins out the sensor data and writes it to the database when the load condition is high. can be referred to. In the illustrated example, the data processing device 100 discards the sensor data at points P5 and P7 without writing them to the database, and writes the sensor data at point P6 to the database. That is, in the present invention, when the load condition is high, it becomes possible to refer to the position information at time point P6, which could not be referred to with the related technology. Therefore, the data processing device 100 according to the present embodiment can know the movement route of the aircraft in more detail than the related technology even when the load condition becomes high. In addition, the data processing apparatus 100 can prevent stagnation of the queue even under high load by appropriately thinning the sensor data to be written, and can prevent deterioration of performance from data reception to data reference.

Note that, when the time difference between the occurrence time and the reception time is included in the sensor data, the data output control unit 16 may include the time difference in the display data. For example, the data output control unit 16 may display the time difference corresponding to the vicinity of each positional information as additional information. Accordingly, the operator US can know the time lag (time difference) from the time when the sensor data is generated to the time when the sensor data is received, when the load on the data processing apparatus 100 becomes high, and the like.

As described above, the data processing device 100 according to the present embodiment includes the queue storage unit 125 that temporarily stores data in a queue, the load state detection unit 121 that detects the load on the device itself, and the data processing device 100 that stores data when the load is high. A data write determination information storage unit 122 that stores information that serves as a reference for writing, and a data write determination unit that determines whether or not to write data in a queue according to the reference when the detected load is equal to or greater than a predetermined threshold. 123, a queue registration unit that writes data determined to be written to a queue, and a queue retrieval unit 126 that retrieves data from the queue in order to write it to the database.

With such a configuration, the data processing apparatus 100 does not write unnecessary data to the queue and only writes necessary data to the queue when the load is high. It can be made available at all times. In addition, the data processing apparatus 100 can prevent data from remaining in a queue, thereby preventing deterioration in performance due to a delay in the time from data reception to data reference.

In addition, the data write determination information storage unit 122 stores the time interval for writing data, and the data write determination unit 123 stores the occurrence time of the previously written data when the detected load is equal to or greater than a predetermined threshold value. It is determined to write the data to the queue when the time interval has elapsed from . With such a configuration, the data processing apparatus 100 can write data at time intervals when the load is high.

Further, the data includes position information, the data writing determination information storage unit 122 stores time intervals according to the distance from a predetermined point, and the data writing determination unit 123 stores the position information indicated by the data and the point. It is determined whether or not to write the data to the queue based on the time interval according to the distance from the . With such a configuration, for example, by shortening the time interval for writing as the location gets closer, it is possible to prevent the loss of necessary data even under high load.

In addition, the data writing determination information storage unit 122 stores time intervals corresponding to respective distances from each of a plurality of locations, and the data writing determination unit 123 stores the time intervals corresponding to the distances between the location information indicated by the data and the locations. Based on the minimum value of the time intervals, it is determined whether or not to write the data to the queue. With such a configuration, for example, by shortening the writing time interval for more important points and lengthening the writing time interval to some extent for less important points, it is possible to appropriately thin out unnecessary data and write only necessary data under high load. can.

Also, the load is the retention rate in the queue or the usage rate of the central processing unit in the data processing apparatus 100 . As a result, when the retention rate in the queue becomes high or the usage rate of the central processing unit becomes high, by thinning out the data to be written in the queue, the accumulation of data in the queue or the central processing unit The load applied can be reduced.

The data is data sensed by a sensor, a queue exists for each sensor unit 200, and the data write determination unit 123 determines whether or not to write data to the queue for each sensor unit 200. FIG. With such a configuration, data to be written in each sensor unit 200 can be thinned out.

Although one embodiment of the present invention has been described above, the present invention is not limited to the above-described embodiment, and various modifications can be made without departing from the scope of the present invention.

For example, in the above-described embodiment, the queue retrieving unit 126 and the data reading unit 15 execute processing after receiving a request. 14 may be polled.

Further, in the above-described embodiment, the case where one storage device 14 stores the database has been described, but the present invention is not limited to this, and a plurality of storage devices 14 may be provided to form a redundant configuration.

Further, in the above-described embodiment, the case where the data write determination information, which serves as a reference for writing data under high load, is the time interval for writing data has been described. Other criteria may be used, such as writing data when the location is within a predetermined range from a predetermined point. The data writing determination information can be freely set by the system user.

Further, the embodiments of the present invention can be applied to a system for inquiring and accumulating position information of aircraft in air traffic control, such as an air traffic control system.

FIG. 10 is a diagram showing the minimum configuration of the data processing device.
The data processing apparatus 100 should have at least the functions of the load condition detection unit 121, the data writing determination information storage unit 122, the data writing determination unit 123, the queue registration unit 124, the queue storage unit 125, and the queue extraction unit 126. .
The load condition detection unit 121 detects the load applied to its own device.
The data write determination information storage unit 122 stores information that serves as a reference for writing data under high load.
When the detected load is equal to or greater than a predetermined threshold, the data write determining unit 123 determines whether or not to write the acquired data to the queue according to a criterion.
The queue registration unit 124 writes the data determined to be written into the queue.
The queue storage unit 125 temporarily stores data using queues.
A queue retriever 126 retrieves data from the queue for writing to the database.

Each of the devices described above has an internal computer system. Each process described above is stored in a computer-readable recording medium in the form of a program, and the above process is performed by reading and executing this program by a computer. Here, the computer-readable recording medium refers to magnetic disks, magneto-optical disks, CD-ROMs, DVD-ROMs, semiconductor memories, and the like. Alternatively, the computer program may be distributed to a computer via a communication line, and the computer receiving the distribution may execute the program.

Further, the program may be for realizing part of the functions described above. Further, it may be a so-called difference file (difference program) that can realize the above-described functions in combination with a program already recorded in the computer system.

REFERENCE SIGNS LIST 100 Data processing device 11 Data receiving unit 12 Database writing control device 121 Load condition detecting unit 122 Data writing determination information storage unit 123 Data writing determination Part 124... Queue registration part 125... Queue storage part 126... Queue extraction part 13... Data writing part 14... Storage device 15... Data reading part 16... Data output control Unit 200 Sensor unit 300 Display

Claims (7)

a cue storage unit that temporarily stores data including position information by cue;
a load condition detection unit that detects the load applied to the device;
a data write determination information storage unit that stores a time interval for writing data according to a distance from a predetermined point as information that serves as a reference for specifying data to be written among the data under high load;
When the detected load is equal to or greater than a predetermined threshold, the time interval from the time of occurrence of the previously written data, which corresponds to the distance between the location information indicated by the data and the point, is the time interval. a data write determination unit that determines whether or not to write the acquired data to the queue based on determination of whether or not has elapsed ;
a queue registration unit that writes the data to be written, determined to be written, to the queue;
a queue retrieving unit for retrieving the data to be written from the queue for writing to a database;
A data processing device comprising: When the detected load is equal to or greater than a predetermined threshold value, the data write determination unit selects data to be written in the queue when the time interval has passed since the time when the previously written data was generated. determined to write data that is
2. A data processing apparatus according to claim 1. The data writing determination information storage unit stores the time interval corresponding to each distance from each of the plurality of points,
The data write determining unit determines whether or not to write the data to be written into the queue based on the minimum value of the time intervals corresponding to the distances between the position information indicated by the data and each of the points. judge,
3. A data processing apparatus according to claim 1 or 2 . The load is a dwell rate in the queue or a central processing unit utilization rate in the data processing device,
The data processing apparatus according to any one of claims 1 to 3 . The data is data sensed by a sensor,
The queue exists for each sensor,
The data write determination unit determines whether to write the data to the queue for each sensor.
The data processing apparatus according to any one of claims 1 to 4 . The data processing device
Detects the load on the device,
When the detected load is equal to or greater than a predetermined threshold, the time interval from the occurrence time of the previously written data corresponding to the distance between the position information indicated by the acquired data and a predetermined point is the time interval. determining whether or not to write the acquired data in a queue based on determination of whether or not time has elapsed ;
writing the data to be written, determined to be written, to the queue;
retrieving the data to be written from the queue for writing to a database;
Data processing method. the computer of the data processing device,
load condition detection means for detecting the load applied to the device;
When the detected load is equal to or greater than a predetermined threshold, the time interval from the occurrence time of the previously written data corresponding to the distance between the position information indicated by the acquired data and a predetermined point is the time interval. Data write determination means for determining whether or not to write the acquired data in a queue based on determination of whether or not time has elapsed ;
queue registration means for writing the data to be written determined to be written into the queue;
Queue retrieval means for retrieving the data to be written from the queue for writing to a database;
A program that acts as a

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