JP2003178248A - Information processor - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To optimally predict influence in response to acquired information. <P>SOLUTION: This information processor has an information acquiring means for acquiring the information, an interpretation method determining means for determining an interpretation method of the acquired information, and an influence predicting means for predicting the influence according to the interpretation method determined by the interpretation method determining means, and has an effect capable of optimally predicting the influence in response to the acquired information. <P>COPYRIGHT: (C)2003,JPO

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an information processing apparatus that determines and executes processing based on input information.

[0002]

2. Description of the Related Art Conventionally, for example, an alarm device for a fire or the like has been activated after a situation has occurred. In addition, it corresponds only to a specific event and a specific information format, and its operation is limited (eg, the fire alarm only emits a sound and does not have a role of reliably communicating to the user).

[0003]

However, since it operates after a situation has occurred, it is impossible to prevent it or deal with the situation. In addition, there is a problem that the situation to deal with and the information format that can be handled are limited.

In order to solve the above problems, according to the present invention, an information acquisition means for acquiring information, an interpretation method determination means for determining an interpretation method of the acquired information, and an interpretation method determination means are used. It is an object of the present invention to provide an information processing apparatus including an impact prediction unit that predicts an impact according to the interpreted method.

[0005]

The present invention can solve the above-mentioned problems by providing the following constitutions.

(1) An information acquisition means for acquiring information and an interpretation method determination means for determining an interpretation method of the acquired information are provided, and influence is exerted according to the interpretation method determined by the interpretation method determination means. An information processing apparatus comprising: an effect prediction unit that predicts.

(2) The information processing apparatus according to (1), wherein the influence predicting means comprises area influence predicting means for predicting an influence of the acquired information on a specific area.

(3) The information processing apparatus according to (1), characterized in that the effect predicting means includes a schedule effect predicting means for predicting the effect of the acquired information on the schedule.

[0009]

DESCRIPTION OF THE PREFERRED EMBODIMENTS [Embodiment 1] FIG. 1 is a block diagram showing a hardware configuration of an information processing apparatus according to an embodiment of the present invention.

In FIG. 1, reference numeral 1 is an input unit for inputting information. Reference numeral 2 denotes a CPU, which performs calculations for various processes, logical judgments, etc., and controls each component connected to the bus 6. An output unit 3 outputs information.

Reference numeral 4 denotes a program memory, which is a memory for storing a program for control by the CPU 2 including a processing procedure which will be described later with reference to a flowchart. The program memory 4 may be a ROM or a RAM loaded with a program from an external storage device or the like.

Reference numeral 5 denotes a data memory, which stores data generated by various processes and also stores knowledge of a knowledge base described later. The data memory 5 is, for example, a RAM, but the knowledge of the knowledge base is stored in a non-volatile external storage medium.
It should be loaded prior to processing, or referenced whenever necessary.

Reference numeral 6 denotes a bus for transferring an address signal indicating a constituent element to be controlled by the CPU 2, a control signal for controlling each constituent element, and a data exchanged between the constituent devices. is there. Hereinafter, an embodiment of the present invention will be described in detail with reference to the drawings.

FIG. 2 is a diagram showing the flow of the entire system according to this embodiment.

Specifically, when the system is booted, various devices and memories included in the system are initialized in the system boot process of step s201.

Subsequently, in the information acquisition process of step s202, the influential information and its type are acquired from the sensor of the system, Web information via the Internet, broadcast information such as radio and telephony, and the like. .

Next, when it is determined in step s203 that the acquisition of information has succeeded, the influence prediction process of step s204 predicts the influence from the obtained information.

Further, if it is determined in step s205 that there is an influence, the process corresponding to the prediction is executed by the prediction corresponding process in step s206.

Next, when it is determined in step s207 that the power is off, the system termination process of step s208 executes the termination process of various devices and memories of the system, and then the system is terminated.

FIG. 3 is a diagram showing the flow of the information acquisition process of step s202 in the flow of the entire system.

In the information acquisition processing in this information processing apparatus, the influential information and its type are acquired and acquired from the sensor of the system, Web information via the Internet, broadcast information such as radio and television, etc. Returns success or failure. Specifically, when the information acquisition process is activated, the states of all the sensors of the system, such as the camera and the microphone shown in FIG. 7, are detected in step s301. As a result, when it is determined that there is a change in the next step s302, information corresponding to the state of each sensor is generated by the sensor information generation processing of the following step s303, and the process proceeds to step s304.

If it is determined that there is no change in step s302, the process proceeds to step s306, and the weather information as shown in FIG. 8 is acquired from Web information via the Internet or broadcast information such as radio or television. It
As a result, if it is determined that there is a change in the next step s307, the process proceeds to step s304.

If it is determined in step s307 that there is no change, the process proceeds to step s308, and the traffic information as shown in FIG. 10 is acquired from the Web information via the Internet or the broadcast information such as radio or television. It As a result, if it is determined that there is a change in the next step s309, the process proceeds to step s304, and if there is no change, it is determined that there is no information to be processed, it is determined that information acquisition has failed, and the process ends.

In the index acquisition process of step s304, the influential information and its type are searched by searching the character string which becomes Key from the acquired information by referring to the effect determination table shown in FIG. Get the index that represents it. As a result, if the index acquisition is successful, it is determined that the information to be processed is found, and the information acquisition is successful. If the index acquisition is unsuccessful, it is determined that there is no information to be processed, the information acquisition is failed, and the processing ends.

FIG. 4 is a diagram showing the flow of the sensor information generation process of step s303 in the flow of the information acquisition process.

In the sensor information generation processing in this information processing apparatus, information corresponding to the state of each sensor is generated.

Specifically, when the sensor information generation process is activated, the sensor information is initialized in step s401.

When it is determined in step s402 that the sensor state change is camera detection, it is determined in subsequent step s403 whether the detected information is normal information.
As a result, if it is determined that the information is not normal information, the sensor information is set to “suspicious person” in step s404, and the process ends.

If it is determined in step s402 that the sensor state change is not camera detection, or if the information detected in step s403 is normal information, the process proceeds to step s405. When it is determined in step s405 that the sensor state change is microphone detection, it is determined in subsequent step s406 whether the detected information is normal information. As a result, when it is determined that the information is not normal information, “suspicious sound” is set in the sensor information in step s407, and the process ends.

If it is determined in step s405 that the sensor state change is not microphone detection, or if the information detected in step s406 is normal information, there is no sensor state change to be generated. A judgment is made and the processing is ended.

FIG. 5 is a diagram showing the flow of the index acquisition process of step s304 in the flow of the information acquisition process.

In the index acquisition process of the present information processing apparatus, by referring to the influence determination table shown in FIG. 6 from the given information, the character string which becomes Key is searched, and the influential information and its type Get the index that represents.

Specifically, when the index acquisition process is activated, in the keyword search process of step s501,
By referring to the influence determination table shown in FIG. 6 and searching for a character string that is a Key, an index representing the influential information and its type is acquired, and then step s50
In step 2, the index obtained from the search result is returned and the process ends.

FIG. 6 is a diagram showing an influence judgment table referred to by the information processing apparatus. In the impact judgment table,
A character string list serving as a key for influence determination and a corresponding index are defined.

FIG. 7 is a diagram showing an example of a sensor included in the information processing apparatus. The information processing apparatus has a camera that detects video and a microphone that detects audio.

FIG. 8 is a diagram showing the weather information acquired by the information processing apparatus. The acquired weather information may include a character string that serves as a criterion for determining whether the target weather information is to be processed. However, in the example shown in FIG. 8, there is no warning or warning, and Key information to be processed is not included.

FIG. 9 is a diagram showing a source of weather information acquired by the information processing apparatus. FIG. 8 is a result of interpreting the layout information described in the source shown in FIG.
It is what was displayed.

FIG. 10 is a diagram showing traffic information acquired by the information processing apparatus. The acquired traffic information may include a character string that serves as a criterion for determining whether the traffic information is to be processed. For example, in the example shown in FIG.
As of 1:00, there is a fatal accident at JR Chuo Line Sakaori Station. Operation is suspended on the up and down lines, and it is said that "Tokyo-Takao Station is operating normally", and the Key information "accident" to be processed is included.

FIG. 11 is a diagram showing a source of weather information acquired by the information processing apparatus. FIG. 10 is displayed as a result of interpreting the layout information described in the source shown in FIG. 11.

[Second Embodiment] Based on the information obtained in the first embodiment, as a concrete example of predicting the influence and executing the process corresponding to the prediction result, a countermeasure against a typhoon will be described.

FIG. 12 is a diagram showing the flow of the effect prediction process of step s204 in the flow of the entire system according to the present embodiment when the index is a typhoon.

In the influence prediction processing in the information processing apparatus, the influence from the acquired information is predicted by a method corresponding to the type of acquired information. For example, if the index is a typhoon, the residence, current location, destination, etc.
The impact is predicted in relation to the schedules of users and related parties such as family members.

Specifically, when the influence prediction process is activated, the atmospheric pressure information is determined in step s1201. As a result, if the target is not a warning target such as a small-scale typhoon, the processing is terminated without any influence.

In step s1201, if the atmospheric pressure is within the warning target, the influence on the residence is predicted by the regional effect prediction process in step s1202.
As a result, if it is determined in step s1203 that there is an influence, it is determined that there is an influence, and the process ends.

If it is determined in step s1203 that there is no influence, the process proceeds to step s1204, the user's current location is acquired by the user current location acquisition processing, and the subsequent step s1.
The influence on the user's current location is predicted by the regional effect prediction process 205. As a result, if it is determined in step s1206 that there is an influence, it is determined that there is an influence, and the process ends.

If it is determined in step s1206 that there is no effect, the process proceeds to step s1207, and the effect on the schedule is predicted by the effect prediction process for the schedule. As a result, in step s1208, if it is determined that there is an influence, the process is ended with influence, and if it is determined that there is no influence, the process is ended without influence.

FIG. 13 is a diagram showing a flow of the regional influence prediction process of step s1202 in the influence prediction process when the index is a typhoon. In the regional impact prediction process of the information processing device, the regional impact is predicted, such as the place of residence, the current location, and the destinations and routes of travel of the user and related persons inferred from the schedule.

Specifically, when the regional influence prediction process is activated, the position and passage time of the typhoon's influence zone are calculated by the typhoon influence zone and passage time determination processing in step s1301, and as shown in FIG. It is determined whether the target area is within the warning range. As a result, step s13
If it is determined that the area is not within the caution area in 02, it is determined that there is no influence on the area, and the processing is terminated with no influence.

If it is determined in step s1302 that the target area is within the warning area, step s1303
The possibility of lightning strike is predicted by the lightning strike prediction process. As a result, if it is determined in step s1304 that there is a possibility of a lightning strike, it is determined that there is an impact, and the process ends.

In the water damage prediction process in step s1305, the possibility of water damage to the target area is predicted.
As a result, if it is determined in step s1306 that there is no possibility of water damage, it is determined that there is no effect and the process ends. If it is determined in step s1306 that there is a possibility of water damage, the process ends as an influence ant.

FIG. 14 is a diagram for explaining the processing contents in the typhoon influence zone and passage time determination processing of step s1301 in the regional influence prediction processing. When the typhoon sphere of influence and passage time determination processing is activated, it is calculated using the obtained meteorological data whether the user's residence area or the current location or destination may fall within the typhoon's sphere of influence. Guess and also predict the time that the typhoon will pass.

When the point X exists in the direction of the straight line connecting the point A and the point B, or the circle A centering on the point A
When the area X is within the area E having an area obtained by adding 10% to the area surrounded by the line segment C and the line segment D that are in contact with the circle B centered on the point B, the point X is within the typhoon's influence area. It can be assumed that there is a high possibility. When the point X and the point B are the same, the predicted value of the point B is used. When the point X exists between the point A and the point B, the arrival time and the passing time to the point X are calculated using the data of both points, and the time when the influence is predicted is estimated.

The point A mentioned here is the current point of the typhoon, and the circle A centered on the point A is the current range of the typhoon. Further, the point B mentioned here is an arbitrary forecasted point of the typhoon, and the circle B having the point B as a central point is an arbitrary forecasted power range of the typhoon. The point X here is an area to be determined, such as the residence of the user, the current location of the user, or the destination.

FIG. 15 is a diagram showing the flow of the user current position acquisition processing in step s1204 in the influence prediction processing when the index is a typhoon. In the user current location acquisition processing in this information processing apparatus, GPS or PHS is used.
The actual position using the position acquisition system such as is acquired as the current position. Alternatively, if the actual position cannot be acquired for some reason, the estimated position is acquired as the current position from the user's schedule or the like.

Specifically, when the user current position acquisition process is activated, the actual position using a position acquisition system such as GPS or PHS is acquired as the current position by the actual position acquisition process in step s1501. As a result, step s
When it is determined in 1502 that the acquisition is successful, the acquired current position is returned and the process ends.

If it is determined in step s1502 that acquisition has failed, the user's current location is initialized and the current location is set as the residence in step s1503.

Next, in step s1504, the user schedule acquisition process acquires the user's schedule for the day, and in step s1505, if there is an outing schedule for the target time, the process proceeds to step s1506 to leave the current location. Set it first and finish the process.

In step s1505, when there is no corresponding going-out schedule, step s1507.
Then, the schedule judgment process before and after is started to judge the schedule before and after the target time. As a result, step s1508
If it is estimated that the user is moving, the moving position is obtained by the moving route predicting process in step s1509, the current position is set as the moving position in subsequent step s1510, and the process ends.

FIG. 16 is a diagram showing an example of the position information acquired by the user current position acquisition processing.
Each position information includes a name for identifying the position, an address, and a landmark indicating a related position in the vicinity, a main road,
Stores points and other related transportation information.

FIG. 17 is a diagram showing the flow of the movement route prediction process of step s1509 in the user current position acquisition process. In the movement route prediction process in the information processing apparatus, the movement route between the specified departure point and destination is specified, and when the information of the specified movement route can be acquired, the position is returned as the movement position.

Specifically, when the travel route prediction process is activated, the travel route is identified by the travel route identification process between the starting point and the destination in step s1701, and the subsequent step s1.
The position on the movement route is acquired by the movement route information acquisition processing 702. As a result, if it is determined in step s1703 that the acquisition is successful, the acquired position is set as the movement position. The processing ends.

FIG. 18 is a diagram showing the flow of the effect prediction process for the schedule of step s1207 in the effect prediction process when the index is a typhoon. In the influence prediction process on the schedule in the information processing apparatus, the influence on the current schedules of the house and related persons and the schedules before and after is predicted.

Specifically, when the influence prediction process on the schedule is activated, the house schedule is acquired in the house schedule acquisition process in step s1801. As a result, if it is determined in the following step s1802 that the visitor's schedule was included in the acquired schedule, the same effect is obtained by using the visitor's departure point as the target area by the regional effect prediction processing in step s1807. Is predicted. As a result, if it is determined that there is an influence in step s1808, it is determined that there is an influence, and the process ends.

When it is determined in step s1802 that the visitor has no plans, or in step s1808.
If it is determined that there is no influence in step s1803, the related party schedule acquisition process of step s1803 acquires the current going-out schedule of the related person. As a result, the following step s18
In 04, when it is determined that there is a going-out schedule of the person concerned at the present time, the influence is predicted by the region effect prediction process of step s1809 using the acquired destination as the target region. As a result, if it is determined that there is an influence in step s1810, it is determined that there is an influence, and the process ends.

If it is determined in step s1804 that there is no going-out schedule of the person concerned at the present time, or if it is determined in step s1810 that there is no influence, the schedule determination processing before and after step s1805 will obtain the preceding and following schedules. To be done. As a result, in the subsequent step s1806, when it is determined that the vehicle is moving due to the difference between the acquired scheduled locations and the like, the moving route is predicted by the moving route prediction process of step s1811, and the step s1 is followed.
By the regional impact prediction process of 812, the impact is predicted with the predicted travel route as the target region. As a result, if it is determined that there is an influence in step s1813, it is determined that there is an influence, and the process ends. If it is not determined in step s1806 that the vehicle is moving, or if it is determined that there is no influence in step s1813, it is determined that there is no influence and the process ends.

FIG. 19 is an example of a list of related parties referred to in the related party schedule acquisition processing in step s1803 of the schedule impact prediction processing. The relevant party information stores information such as the instance, the relationship with the operator, whether or not they live together, whether or not they are going home, and whether or not they are out.

FIG. 20 is a diagram showing a flow of the flood damage prediction process of step s1306 in the regional effect prediction process. In the flood damage prediction process of the information processing apparatus, the possibility of flood damage to the target area is predicted.

Specifically, when the water damage prediction process is started, it is determined in step s2001 whether or not there is a river to be watched, and if there is, the process is terminated with an influence. In the next step s2002, it is determined whether there is a coastline,
If there is an influence, the process is terminated, and if there is no influence, the process is terminated with no influence.

FIG. 21 is a diagram showing the flow of the prediction corresponding process of step s206 in the flow of the entire system according to the present embodiment when the index is a typhoon. In the prediction corresponding process of the information processing device, a process corresponding to the prediction is executed. For example, when the index is a typhoon, it is determined whether there is something that should be dealt with at home, whether there is someone who should deal with the family, and the like, and the user is notified.

Specifically, when the predictive response process is activated, the notification data is initialized in step s2101, then in step s2102, a status notification character string indicating that a typhoon is approaching is created, and the process continues. It is added to the notification data in step s2103.

If it is determined in step s2104 that the laundry is outside, a notification character string indicating that the laundry is outside is created in step s2105,
In subsequent step s2106, the notification data is added.

If it is determined in step s2104 that the laundry has not gone out, step s210
If you go to 7 and it is determined that your family is out,
A notification character string indicating that the family is out is created in step s2108, and added to the notification data in subsequent step s2109.

If it is determined in step s2107 that the family has not gone out, step s2110.
In step S2111, the user notification process in step s2111 is started, the user is notified of the content of the notification data, and the process ends.

FIG. 38 is a diagram showing a flow of the regional influence prediction corresponding process of step s2110 in the prediction corresponding process when the index according to the present embodiment is a typhoon.

In the regional impact prediction response process of this information processing apparatus, a process corresponding to the regional impact prediction is executed to deal with a power outage or flood damage. In particular,
When the regional impact prediction handling process is started, step s38
If it is determined that there is a possibility of a lightning strike in 01, the power outage prediction response process of the next step s3802 causes a process corresponding to a power outage such as turning off the power supply of an electric appliance that may become unstable due to a sudden power outage. To be executed.

If it is determined in step s3803 that there is a possibility of water damage, the next step s3804, the water damage prediction response processing, saves the data of the electric appliances at the place where there is a risk of flooding, or issues a warning. The treatment corresponding to the flood damage is executed. By the notification creating process in step s3805, the contents performed so far are created as a notification sentence, and the process ends.

Here, a case where a typhoon is approaching will be specifically described with reference to the drawings. When a typhoon approaches, step s202 in the flow of the entire system.
By the information acquisition processing of 1., it is detected that the weather information published on the Internet has changed, and the index “typhoon” of the influence determination table of FIG. 6 included in the acquired weather information is selected.

As a result, in step s204, the influence prediction process of FIG. 12 corresponding to the index "typhoon" is started. Therefore, when the atmospheric pressure of the typhoon is a numerical value within the warning target in step s1201, the influence is predicted in steps after s1202. Specifically, in step s1301 of the regional impact prediction process of FIG. 13, when it is determined that the residential area is within the caution area, the possibility of a lightning strike is considered in consideration of the geographical condition peculiar to the area. And predict the impact of possible flood damage.

If it is not determined from the above result that the influence is not found, the present location of the user is acquired in step s1204, and the influence on the user's destination and the travel route is predicted in step s1205.

Similarly, if it is not determined from the above results that the influence is ant, in step s1207 the visitor's schedule,
Also, check the going-out schedules of people related to the user such as family members living together, and if there are going-out schedules, predict the impact on the going-out destination and the travel route.

From the prediction result, if there is no visitor's plan,
If it is determined that there is no effect on the destination, the effect prediction process for the typhoon ends. As a result of any of the predictions, if it is determined to be an influence ant, step s206
Predictive response processing corresponding to the typhoon is executed in step s2
At 110, the user is notified of the notification text created based on the predicted content.

[Third Embodiment] As a concrete example of predicting the influence and executing the process corresponding to the prediction result based on the information obtained in the second embodiment, the measure against heavy rain will be described.

FIG. 22 is a diagram showing the flow of the impact prediction process of step s204 in the flow of the entire system according to the present embodiment when the index is heavy rain.

In the influence prediction processing in the information processing apparatus, the influence from the acquired information is predicted by the method corresponding to the kind of the acquired information. For example, if the index is heavy rain, the place of residence, current location, destination, etc.
The impact is predicted in relation to the schedules of users and related parties such as family members.

Specifically, when the influence prediction process is activated, the rainfall amount information is determined in step s2201. As a result, if there is no target such as normal rain that should be watched, the processing is terminated with no influence. Step s22
In 01, when the rainfall amount is within the warning target, the influence is predicted by the processing from step s2202.

FIG. 23 is a diagram showing the flow of the prediction corresponding process of step s206 in the flow of the entire system according to the present embodiment when the index is heavy rain. In the prediction corresponding process of the information processing device, a process corresponding to the prediction is executed. For example, when the index is heavy rain, it is determined whether there is something that should be dealt with at home, whether there is someone who should deal with the family, and the like, and the user is notified.

Specifically, when the prediction correspondence process is activated, the notification data is initialized in step s2301, necessary notification texts are created in step s2302 and thereafter, and the region influence prediction correspondence process in step s2310 is performed. After performing the process corresponding to the influence on the notification, the user notification process of step s2311 is started, the content of the notification data is notified to the user, and the process ends.

Here, a case where heavy rain is predicted will be described in detail with reference to the above-mentioned drawings. If heavy rain is predicted, step s202 in the flow of the entire system.
By the information acquisition process of 1., it is detected that the weather information published on the Internet has changed, and the index “heavy rain” of the influence determination table of FIG. 6 included in the acquired weather information is selected.

As a result, in step s204, the influence prediction process of FIG. 22 corresponding to the index "heavy rain" is activated. Therefore, when the predicted rainfall amount is a numerical value within the warning target in step s2201, the influence is predicted in steps after s2202.

Specifically, when it is determined in step s1301 of the regional impact prediction process of FIG. 13 that the residential area is within the forecast rain area caution area, the geographical conditions peculiar to the area are considered. Then, the impact of lightning strike, flood damage, landslide, etc. is predicted.

If it is not determined from the above result that the influence is not found, the current position of the user is acquired in step s2204, and the influence on the user's destination and the moving route is predicted in step s2205.

Similarly, from the above result, if it is not determined that the influence is caused, the visitor's schedule is determined in step s2207.
Also, check the going-out schedules of people related to the user such as family members living together, and if there are going-out schedules, predict the impact on the going-out destination and the travel route.

According to the prediction result, if there is no visitor's plan,
If it is determined that there is no effect on the destination, the impact prediction process for heavy rain is terminated.

If it is determined as an influence ant as a result of any of the predictions, the prediction correspondence process corresponding to heavy rain is executed in step s206, and the notification text created based on the prediction content is presented to the user in step s2310. Notice.

[Embodiment 4] As a concrete example of predicting the influence and executing the processing corresponding to the prediction result based on the information obtained in Embodiment 1, the correspondence to heavy snow will be described.

FIG. 24 is a diagram showing the flow of the effect prediction process of step s204 in the flow of the entire system according to the present embodiment when the index is heavy snow.

In the influence prediction processing in the information processing apparatus, the influence from the acquired information is predicted by the method corresponding to the type of the acquired information. For example, if the index is heavy snow, the residence, current location, destination, etc.
The impact is predicted in relation to the schedules of users and related parties such as family members.

Specifically, when the impact prediction process is activated, snowfall amount information is determined in step s2401. As a result, when there is no normal target such as snow, it is determined that there is no effect and the process ends.

In step s2401, if the amount of snowfall is within the warning target, the influence is predicted by the processing from step s2402.

FIG. 25 is a diagram showing the flow of the prediction corresponding process of step s206 in the flow of the entire system according to the present embodiment when the index is heavy snow.

In the prediction corresponding process of this information processing apparatus, the process corresponding to the prediction is executed. For example, when the index is heavy snow, it is determined whether or not there is a person who should correspond to the family, and the user is notified.

Specifically, when the prediction correspondence process is activated, the notification data is initialized in step s2501, necessary notification texts are created in step s2502 and subsequent steps, and the region impact prediction correspondence process in step s2507 executes After the processing corresponding to the influence on the notification is executed, the user notification processing of step s2508 is started, the content of the notification data is notified to the user, and the processing ends.

Here, a case where heavy snow is predicted will be specifically described with reference to the drawings. If heavy snowfall is predicted, step s202 in the flow of the entire system.
By the information acquisition processing of 1., it is detected that the weather information published on the Internet has changed, and the index “heavy snow” of the influence determination table of FIG. 6 included in the acquired weather information is selected.

As a result, in step s204, the influence prediction process of FIG. 24 corresponding to the index "heavy snow" is started. Therefore, if the expected amount of snowfall is a numerical value within the warning target in step s2401, the influence is predicted in steps after s2402.

Specifically, when it is determined in step s1301 of the regional impact prediction process of FIG. 13 that the residential area is within the forecast snowfall area caution area, the geographical conditions peculiar to the area are considered. Then, the impact such as the possibility of avalanche is predicted.

If it is not determined from the above result that the influence is not found, the current location of the user is acquired in step s2404, and the influence on the user's destination and the travel route is predicted in step s2405.

Similarly, if it is not judged from the above result that the influence is ant, in step s2407 the visitor's schedule,
Also, check the going-out schedules of people related to the user such as family members living together, and if there are going-out schedules, predict the impact on the going-out destination and the travel route.

From the prediction measurement result, if there is no visitor's schedule, or if it is determined that there is no effect on the destination, the effect prediction process for heavy snow ends.

When it is determined as an influence ant as a result of any of the predictions, the prediction correspondence process corresponding to the heavy snow is executed in step s206, and the notification text created based on the prediction contents is presented to the user in step s2507. Notice.

[Embodiment 5] As a concrete example of predicting the influence and executing the processing corresponding to the prediction result based on the acquired information shown in the embodiment 1, a countermeasure against an earthquake will be described.

FIG. 26 is a diagram showing the flow of the impact prediction process of step s204 in the flow of the entire system according to the present embodiment when the index is an earthquake.

In the influence prediction process of the information processing apparatus, the influence from the acquired information is predicted by the method corresponding to the type of the acquired information. For example, if the index is an earthquake, specify the place of residence, current location, destination, etc.
The impact is predicted in relation to the schedules of users and related parties such as family members.

Specifically, when the impact prediction process is activated, seismic intensity information is determined in step s2601. As a result, when there is no target such as a weak earthquake that should be watched, it is determined that there is no effect and the process ends. Step s26
In 01, when the seismic intensity is within the warning target, the influence is predicted by the processing from step s2602.

FIG. 27 is a diagram showing the flow of the prediction corresponding process of step s206 in the flow of the entire system according to the present embodiment when the index is earthquake.

In the prediction corresponding process of this information processing apparatus, the process corresponding to the prediction is executed. For example, when the index is an earthquake, it is determined whether or not there is something to deal with at home, whether there is someone to deal with in the family, and the like is notified to the user.

Specifically, when the predictive response process is activated, the notification data is initialized in step s2701, a situation notification character string indicating that an earthquake is near is created in step s2702, and in step s2703 that follows. Add to notification data.

If it is determined in step s2704 that fire is being used, a notification character string indicating that fire is being used is created in step s2705, and added to the notification data in step s2706.

If it is determined in step s2704 that the fire is not used, step s2707 follows. If it is determined that the family is out, step s2708 indicates that the family is out. The notification character string shown is created and added to the notification data in subsequent step s2709.

If it is determined in step s2707 that the family has not gone out, step s2710.
After the processing corresponding to the influence on the area is executed by the area influence prediction corresponding processing of (3), the user notification processing of step s2711 is started, the content of the notification data is notified to the user, and the processing ends.

Here, a case where an earthquake is specifically predicted will be described with reference to the drawings. When an earthquake is predicted, step s202 in the flow of the entire system
By the information acquisition processing of 1., it is detected that the weather information published on the Internet has changed, and the index “earthquake” of the influence determination table of FIG. 6 included in the acquired weather information is selected.

As a result, in step s204, the influence prediction process of FIG. 26 corresponding to the index "earthquake" is activated. Therefore, if the seismic intensity is a numerical value within the caution target in step s2601, the influence is predicted in steps after s2602.

Specifically, when it is determined in step s1301 of the regional impact prediction process of FIG. 13 that the residential area is within the earthquake warning zone, the geographical conditions peculiar to the area are considered, Predict impacts such as tsunami and potential landslides.

If it is not determined from the above result that the influence is not found, the present location of the user is acquired in step s2604, and the influence on the user's destination and the moving route is predicted in step s2605.

[0124] Similarly, if it is not judged from the above results that it is an influence ant, in step s2607 the visitor's schedule,
Also, check the going-out schedules of people related to the user such as family members living together, and if there are going-out schedules, predict the impact on the going-out destination and the travel route.

From the prediction result, if there is no visitor's plan,
If it is determined that there is no effect on the destination, the impact prediction process for the earthquake ends.

When it is determined as an influence ant as a result of any of the predictions, a prediction correspondence process corresponding to the earthquake is executed in step s206, and the notification text that has been created based on the prediction content is presented to the user in step s2710. Notice.

[Embodiment 6] As a concrete example of predicting the influence and executing the processing corresponding to the prediction result based on the acquired information shown in the embodiment 1, the countermeasure against fire will be described.

FIG. 28 is a diagram showing the flow of the effect prediction process of step s204 in the flow of the entire system according to the present embodiment when the index is fire.

In the influence prediction process of the information processing apparatus, the influence from the acquired information is predicted by the method corresponding to the type of the acquired information. For example, when the index is a fire, the influence is predicted by determining whether or not a fire is occurring in the neighborhood.

Specifically, when the influence prediction process is activated, it is determined in step s2801 whether the siren sound continues for the alert time or longer. As a result, when there is no target such as a small fire that should be watched, it is determined that there is no effect and the process ends. If it is determined in step s2801 that the siren sound continues for the alert time or longer, it is predicted that there is an influence.

FIG. 29 is a diagram showing the flow of the predictive response process of step s206 in the flow of the entire system according to the present embodiment when the index is fire.

In the prediction correspondence processing in this information processing apparatus, the processing corresponding to the prediction is executed.

For example, when the index is fire, the user is notified that a fire has occurred. Specifically, when the prediction correspondence process is activated, step s2901
The notification data is initialized in step S2902, a notification statement is created in step s2902 and subsequent steps, and the processing corresponding to the impact on the area is executed by the area impact prediction handling processing in step s2904, and then the user notification processing in step s2905 is activated. Is
The content of the notification data is notified to the user, and the process ends.

Here, a case where a fire is specifically predicted will be described with reference to the drawings. When a fire occurs,
By the information acquisition processing in step s202 in the flow of the entire system, it is detected that the information acquired by the sensor has changed, and the index “fire” in the impact determination table of FIG. 6 is selected from the acquired information. .

As a result, in step s204, the influence prediction process of FIG. 28 corresponding to the index "fire" is activated. Therefore, if it is determined in step s2801 that the siren sound has continued for the warning time or longer, it is determined that a large fire will be affected. In response to this result, in step s206, the predictive response process corresponding to the fire is executed, and in step s2904, the user is notified of the notification text created based on the predicted content.

[Embodiment 7] A fire will be described as a specific example of predicting the effect based on the acquired information shown in the embodiment 1 and executing a process corresponding to the prediction result.

FIG. 30 is a diagram showing the flow of the effect prediction process of step s204 in the flow of the entire system according to the present embodiment when the index is a fire.

In the influence prediction processing in the information processing apparatus, the influence from the acquired information is predicted by the one corresponding to the type of the acquired information. For example, if the index is a fire, the impact is predicted by determining whether or not it is a fire.

Specifically, when the influence prediction process is activated, it is determined in step s3001 whether the temperature has risen above a certain level. As a result, if there is no target that should be watched, such as a small temperature rise due to a simple air conditioner, the processing is terminated with no influence. Step s3
If it is determined in 001 that the temperature has risen above a certain level, it is predicted that there is an influence.

FIG. 31 is a diagram showing the flow of the predictive response process of step s206 in the flow of the entire system according to the present embodiment when the index is a fire.

In the prediction corresponding process of this information processing apparatus, the process corresponding to the prediction is executed. For example, when the index is a fire, the user is notified of the occurrence of the fire and the notification of the fire, after making a notification corresponding to the degree of urgency of the situation.

Specifically, when the predictive response process is activated, the notification data is initialized in step s3101, a situation notification character string indicating that a fire has occurred is created in step s3102, and the subsequent step s3103. Add to the notification data with.

Next, in step s3104, it is determined whether or not the temperature is at or above the limit level, and if it is determined that the temperature is at or above a certain level and there is no time lag, the fire department or security center is notified by the notification processing in step s3105, In the subsequent step s3106, a notification character string indicating that the notification has been made is added to the notification data.

If the temperature does not reach the limit level in step s3104, it is determined that there is a margin, and the process advances to step s3107 to activate the user notification process.
The content of the notification data is notified to the user, and the process ends.

FIG. 32 is a diagram showing the flow of the notification process of step s3105 in the prediction handling process according to this embodiment. In the notification processing in the information processing apparatus, the occurrence of a fire or the like is notified to a notification destination designated by the user in advance and a standard notification destination such as a police station or a fire station.

Specifically, when the notification process is activated, in step s3201, the notification destination list storing the notification destinations to be notified is initialized. Step s320
If it is determined in 2 that the user has specified the report destination,
In the next step, s3203, the address is added to the notification destination list. In step s3204, a standard contact such as a police station or a fire department is added, and in step s3205, a notification is sent and the process ends.

FIG. 33 is a diagram showing a report destination table storing the report destinations designated by the user, which is referred to in the report processing according to the present embodiment. In each report destination information, a report destination name, a designation of a report method such as a telephone number and an action, and a comment are stored.

Here, a case where a fire is specifically predicted will be described with reference to the drawings. When a fire occurs,
By the information acquisition processing in step s202 in the flow of the entire system, it is detected that the information acquired by the sensor has changed, and the index "fire" in the impact determination table of FIG. 6 is selected from the acquired information. .

As a result, in step s204, the effect prediction process of FIG. 30 corresponding to the index "fire" is activated. Therefore, if it is determined in step s3001 that the temperature has risen above a certain level, it is determined that there is an effect as a true fire.

In response to this result, the predictive response process corresponding to the fire is executed in step s206, and step s310
When it is determined that the temperature exceeds the limit level in step 4 and there is no time lag, the notification processing of step s3105 causes the notification destination specified by the user shown in FIG. 33 and the standard notification destination such as the police or fire department to be notified. report.

As a result of the above processing, the user is notified of the notification text created based on the occurrence of the fire and the notification.

[Embodiment 8] As a concrete example of predicting the influence and executing the processing corresponding to the prediction result based on the acquired information shown in the embodiment 1, the correspondence to the vacant nest will be described.

FIG. 34 is a diagram showing the flow of the effect prediction process of step s204 in the flow of the entire system according to the present embodiment when the index is a vacant nest. In the influence prediction process in the information processing apparatus, the influence from the acquired information is predicted by a method corresponding to the type of acquired information. For example, when the index is a vacant nest, the influence is predicted by determining whether the index is really a burglary.

Specifically, when the influence prediction process is activated, it is determined in step s3401 whether or not a suspicious sound is detected while at home. As a result, if there is no object to be watched, such as simply moving the motor of the refrigerator, it is determined that there is no effect and the process ends. Step s
If it is determined in 3401 that the user is at home and that a suspicious sound is detected, it is predicted that there is an influence.

FIG. 35 is a diagram showing the flow of the prediction corresponding process of step s206 in the flow of the entire system according to the present embodiment when the index is a vacant nest. In the prediction corresponding process of the information processing device, a process corresponding to the prediction is executed. For example, when the index is a burglary, the video and audio detected at that time are recorded, and after the notification, the user is notified that the burglary has occurred and the notification.

Specifically, when the predictive correspondence process is activated, the notification data is initialized in step s3501, a status notification character string indicating that a vacancy is generated is created in step s3502, and the subsequent step s3503. Add to the notification data with.

Next, in step s3504, the video and audio detected at that time are recorded, and the police or security center is notified by the notification processing in step s3505.
In the user notification processing of 3506, the content of the notification data is notified to the user and the processing ends.

Here, a case where a vacancy is specifically predicted will be described with reference to the drawings. When a burglary occurs, step s202 in the flow of the entire system.
By the information acquisition processing of 1., it is detected that the information acquired by the sensor has changed, and the index “vacant nest” of the influence determination table of FIG. 6 is selected from the acquired information.

As a result, in step s204, the effect prediction process of FIG. 34 corresponding to the index "vacant nest" is started. Therefore, if it is determined in step s3401 that the user is at home and that a suspicious sound is detected, it is determined that there is an influence as a true burglar.

In response to this result, in step s206, the prediction correspondence process corresponding to the vacancy is executed, and step s35
In step 04, the video and audio detected at that time are recorded, and the police or security center is notified by the notification processing in step s3505.
Report to the report destination specified by the user shown in 3 and the standard report destinations such as police and fire departments.

As a result of the above processing, the user is notified of the notification text created based on the fact that a burglary has occurred and that the notification has been made.

[Embodiment 9] A countermeasure against robbery will be described as a specific example of predicting the influence based on the acquired information shown in the embodiment 1 and executing the processing corresponding to the prediction result.

FIG. 36 is a diagram showing the flow of the effect prediction process of step s204 in the flow of the entire system according to the present embodiment, when the index is robbery. In the influence prediction process in the information processing apparatus, the influence from the acquired information is predicted by the one corresponding to the type of the acquired information. For example, when the index is a robbery, the influence is predicted by determining whether the index is a robbery.

Specifically, when the influence prediction process is activated, it is determined in step s3601 whether or not a suspicious sound is detected while at home. As a result, if there is no object to be watched, such as simply moving the motor of the refrigerator, it is determined that there is no effect and the process ends. Step s3
If it is determined in 601 that the suspicious sound is detected while the user is at home, it is predicted that there is an influence.

FIG. 37 is a diagram showing the flow of the predictive response process of step s206 in the flow of the entire system according to the present embodiment when the index is robbery. In the prediction support process in the information processing device,
The process corresponding to the prediction is executed. For example, when the index is a robbery, the video and audio detected at that time are recorded, and after the notification, the user is notified that the robbery has occurred and the notification has been made.

Specifically, when the prediction corresponding process is activated, the notification data is initialized in step s3701, and then the process corresponding to the prediction is executed in step s3702 and thereafter.

Here, a case where a robbery is specifically predicted will be described with reference to the drawings. When a robbery occurs,
By the information acquisition processing in step s202 in the flow of the entire system, it is detected that the information acquired by the sensor has changed, and the index “robbery” in the influence determination table of FIG. 6 is selected from the acquired information. . As a result, in step s204, the impact prediction process of FIG. 36 corresponding to the index “robbery” is activated.
Therefore, if it is determined in step s3601 that the suspicious sound is detected while the user is at home, it is determined that there is an influence as a real robbery.

In response to this result, in step s206, predictive response processing corresponding to the robbery is executed, and in step s370.
In step 4, the video and audio detected at that time are recorded, and the police or security center is notified by the notification processing of step s3705, which is performed by the user notification processing of step s3706.
Notify the address specified by the user indicated in above and the standard address such as police or fire department.

As a result of the above processing, the user is notified of the notification sentence created based on the occurrence of the robbery and the notification.

[0170]

As described above, according to the present invention,
An information acquisition unit that acquires information, an interpretation method determination unit that determines an interpretation method of the acquired information, and an impact prediction unit that predicts an impact according to the interpretation method determined by the interpretation method determination unit. Thus, there is an effect that the influence can be optimally predicted in accordance with the acquired information.

[Brief description of drawings]

FIG. 1 is a block diagram showing a hardware configuration of an information processing apparatus according to an embodiment.

FIG. 2 is a diagram showing a flow of the entire system according to the present embodiment.

FIG. 3 is a diagram showing a flow of information acquisition processing according to the present embodiment.

FIG. 4 is a diagram showing a flow of sensor information generation processing according to the present embodiment.

FIG. 5 is a diagram showing a flow of index acquisition processing according to the present embodiment.

FIG. 6 is a diagram showing an example of an impact determination table used in an impact prediction process according to the present embodiment.

FIG. 7 is a diagram showing an example of a sensor detected in the information acquisition processing according to the present embodiment.

FIG. 8 is a diagram showing an example of weather information acquired by the information acquisition processing according to the present embodiment.

FIG. 9 is a diagram showing an example of a source of weather information acquired by the information acquisition processing according to the present embodiment.

FIG. 10 is a diagram showing an example of traffic information acquired by the information acquisition processing according to the present embodiment.

FIG. 11 is a diagram showing an example of a source of traffic information acquired by the information acquisition processing according to the present embodiment.

FIG. 12 is a diagram showing a flow when the index is a typhoon in the index corresponding influence prediction process according to the present embodiment.

FIG. 13 is a diagram showing a flow of regional impact prediction processing used in the index-based impact prediction processing according to the present embodiment.

FIG. 14 is a diagram showing a typhoon influence zone and passage time determination processing used in the regional influence prediction processing according to the present embodiment.

FIG. 15 is a diagram showing a flow of user current position acquisition processing used in the index-based impact prediction processing according to the present embodiment.

FIG. 16 is a diagram showing an example of data acquired in the current position acquisition processing according to the present embodiment.

FIG. 17 is a diagram showing a flow of an impact prediction process on a moving route.

FIG. 18 is a diagram showing a flow of an impact prediction process for a schedule used in the index-based impact prediction process according to the present embodiment.

FIG. 19 is a diagram showing an example of a related person table used in the present embodiment.

FIG. 20 is a diagram showing a flow of flood damage prediction processing used in the regional impact prediction processing according to the present embodiment.

FIG. 21 is a diagram showing a flow of processing for a typhoon among the prediction corresponding processing according to the present embodiment.

FIG. 22 is a diagram showing a flow in a case where the index is heavy rain in the index corresponding influence prediction process according to the present embodiment.

FIG. 23 is a diagram showing a flow of processing for heavy rain in the prediction corresponding processing according to the present embodiment.

FIG. 24 is a diagram showing a flow when the index is heavy snow in the index corresponding influence prediction process according to the present embodiment.

FIG. 25 is a diagram showing a flow of processing for heavy snow in the prediction corresponding processing according to the present embodiment.

FIG. 26 is a diagram showing a flow when the index is an earthquake in the index corresponding influence prediction process according to the present embodiment.

FIG. 27 is a diagram showing a flow of processing for an earthquake in the prediction corresponding processing according to the present embodiment.

FIG. 28 is a diagram showing a flow when the index is fire in the index corresponding influence prediction processing according to the present embodiment.

FIG. 29 is a diagram showing a flow of processing for fire among the prediction response processing according to the present embodiment.

FIG. 30 is a diagram showing a flow when an index is a fire in the index corresponding influence prediction process according to the present embodiment.

FIG. 31 is a diagram showing a flow of processing for a fire in the prediction response processing according to the present embodiment.

FIG. 32 is a diagram showing a flow of a notification process used in the prediction corresponding process according to the present embodiment.

FIG. 33 is a diagram showing an example of a notification destination list used in the notification processing according to the present embodiment.

FIG. 34 is a diagram showing a flow in the case where an index is a vacant nest in the index corresponding influence prediction process according to the present embodiment.

FIG. 35 is a diagram showing a flow of processing for a vacant nest in the prediction corresponding processing according to the present embodiment.

FIG. 36 is a diagram showing a flow in a case where the index is robbery in the index corresponding influence prediction process according to the present embodiment.

FIG. 37 is a diagram showing a flow of processing for robbery in the prediction corresponding processing according to the present embodiment.

FIG. 38 is a diagram showing the flow of regional impact prediction handling processing according to the present embodiment.

[Explanation of symbols]

1 Input section 2 CPU 3 Output section 4 program memory 5 data memory 6 buses

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Claims (3)

[Claims] 1. An information acquisition means for acquiring information, and an interpretation method determination means for determining an interpretation method of the acquired information, the impact being predicted according to the interpretation method determined by the interpretation method determination means. An information processing device, comprising: 2. The information processing apparatus according to claim 1, wherein the influence prediction unit includes a regional influence prediction unit that predicts an influence of the acquired information on a specific region. 3. The impact predicting means comprises a schedule effect predicting means for predicting the effect of the acquired information on a schedule.
The information processing device described.