Space monitoring system and space monitoring method using sound signal

Abstract

The invention relates to a space monitoring system and a space monitoring method using sound signals. The present invention proposes a technique for organizing the frequency response of a space and related data to construct a database so as to easily, quickly, and accurately determine the situation of a space to be monitored, and a technique for performing space monitoring using the same.

Description

Technical Field

[0001] The present invention relates to a space monitoring system and a space monitoring method using sound signals. The present invention proposes a technology for organizing the frequency response and related data of a space to construct a database so as to easily, quickly and accurately judge the situation of the monitored space, and a technology for performing space monitoring using the database. Background Art

[0002] The frequency response of a space is to measure the intensity or phase of the sound according to the frequency by emitting sounds of different frequencies using a speaker or the like in the space and receiving the sound using a microphone or the like. If the measured frequency response of the space is represented as a graph, the X-axis is the frequency and the Y-axis is the intensity or phase of the sound. If movement, temperature change, gas leakage, etc. occur in the monitored space, the frequency response of the space measured at this time will be different from the frequency response that becomes the reference value. Thus, a technology is proposed to sense various situations such as intrusion, fire, gas leakage, etc. in the monitored space by measuring the frequency response of the space.

[0003] The prior art determines whether abnormal changes have occurred in the monitored space by transmitting a synthesized sound of multiple frequencies, receiving the transmitted sound, and comparing the sound pressure with a specific reference value according to the received sound frequency. However, if such a judgment is to be accurate, the "reference value" should accurately reflect the normal state of the monitored space. However, the normal state of the monitored space changes at any time, so it is difficult to set a reference value that matches the variable normal state of the monitored space.

[0004] Furthermore, the use of the measured sound pressure information by frequency to judge the spatial situation requires a high level of proficiency, and further data interpretation requires considerable time. In particular, when the measured sound pressure information by frequency contains noise, not only the above problems are greatly magnified, but also the reliability of the judgment obtained by data interpretation is greatly reduced.

[0005] Furthermore, according to the conventional technology, when the measured sound signals or the sound pressure information according to the frequency are accumulated and stored, there is a problem that the amount of stored data becomes huge. Summary of the invention

[0006] The present invention is proposed to solve the problems of the prior art as described above, and proposes a solution for constructing a database in a space monitoring system using sound signals so as to realize situation judgment easily, quickly and accurately.

[0007] According to the present invention, the problems caused by the inability of the comparison object baseline value to accurately reflect the normal state of the monitored object space, the difficulty in quickly and accurately interpreting the measured data, the reduced reliability of the data analysis results in a noisy environment, the problem of increased accumulated amount of measured data, etc. are greatly improved.

[0008] The purpose of the present invention is not limited to the foregoing content, and other purposes and advantages of the present invention not mentioned can be understood from the following description.

[0009] It may be that an embodiment of the spatial monitoring method according to the present invention includes: a measurement value information generating step, generating measurement value information related to the frequency response of the space measured at a specific time point or a specific time interval; and a measurement value information storage step, matching the specific time point or the specific time interval with the measurement value information and storing them in a database, and repeatedly executing the measurement value information generating step and the measurement value information storage step according to the passage of time, thereby constructing a database.

[0010] Furthermore, the spatial monitoring method may also include: a measurement value reliability evaluation information generating step, evaluating the reliability of the measurement value information to generate the measurement value reliability evaluation information; and the measurement value information storage step matches the specific time point or the specific time interval with the measurement value information and the measurement value reliability evaluation information and stores them.

[0011] Furthermore, the spatial monitoring method may also include: a comparison value information generating step, comparing the measurement value information of the specific time point or the specific time interval with the measurement value information of one or more different time points or different time intervals to generate comparison value information; and a comparison value information storage step, matching the specific time point and the different time points for comparison or the specific time interval and the different time intervals for comparison with the comparison value information and storing them in a database, and repeatedly executing the comparison value information generating step and the comparison value information storage step to construct a database.

[0012] Preferably, the spatial monitoring method further includes: a comparison value information generating step, in which the measurement value information of the specific time point or the specific time interval is compared with the measurement value information of one or more different time points or different time intervals to generate comparison value information; a comparison value reliability evaluation information generating step, in which the reliability of the comparison value information is evaluated based on the measurement value reliability evaluation information related to each measurement value information corresponding to the comparison value information to generate comparison value reliability evaluation information; and a comparison value information storage step, in which the specific time point and the different time points for comparison or the specific time interval and the different time intervals for comparison are matched with the comparison value information and the comparison value reliability evaluation information and stored in a database, and the comparison value information generating step to the comparison value information storage step are repeatedly executed to construct a database.

[0013] As an example, the database may be constructed by independently and repeatedly executing the steps from the measurement value information generating step to the measurement value information storing step and the comparison value information generating step to the comparison value information storing step.

[0014] As an example, the measurement value reliability evaluation information generating step may generate measurement value reliability evaluation information related to the measurement value information by evaluating at least one of noise, measurement stability, spectrum variability, and appropriateness of frequency resolution of the measurement value information.

[0015] As an example, the comparison value information storage step may generate a multidimensional data table by matching the comparison value information on a coordinate table consisting of the specific time point and the different time points for comparison or the specific time interval and the different time intervals for comparison, and store the multidimensional data table in a database.

[0016] As an example, the spatial monitoring method may also include: a multidimensional data table storage step, generating a multidimensional data table by matching the plurality of comparison value information stored on a coordinate table consisting of a specific time point and different time points for comparison or a specific time interval and different time intervals for comparison, and storing the multidimensional data table in a database.

[0017] As an example, the comparison value information storage step may generate a multidimensional data table by matching the comparison value information and the comparison value reliability evaluation information on a coordinate table consisting of the specific time point and the different time points for comparison or the specific time interval and the different time intervals for comparison, and the multidimensional data table is stored in a database.

[0018] As an example, the spatial monitoring method may further include: a multidimensional data table storage step, generating a multidimensional data table by matching a plurality of the comparison value information and a plurality of the comparison value reliability evaluation information on a coordinate table consisting of a specific time point and different time points for comparison or a specific time interval and different time intervals for comparison, and storing the multidimensional data table in a database.

[0019] As an example, the space monitoring method may further include: a space situation information providing step of providing a multidimensional data table generated based on the comparison value information to a user.

[0020] As an example, the space monitoring method may further include: a space situation information providing step of providing a multidimensional data table generated based on the comparison value information and the comparison value reliability evaluation information to a user.

[0021] In addition, one embodiment of the space monitoring system according to the present invention may include: an information generating component for generating measurement value information related to the frequency response of the space measured at a specific time point or a specific time interval; and a database building component for matching the specific time point or the specific time interval with the measurement value information for organization and storage.

[0022] Preferably, the information generating means may further evaluate the reliability of the measurement value information to generate measurement value reliability evaluation information, and the database building means may match a specific time point or a specific time period with the measurement value information and the measurement value reliability evaluation information and store them.

[0023] Furthermore, it may be that the information generating component also compares the measurement value information of a specific time point or a specific time interval with the measurement value information of one or more different time points or different time intervals to generate comparison value information, and the database constructing component also matches the specific time point and the different time points for comparison or the specific time interval and the different time intervals for comparison with the comparison value information and stores them.

[0024] As an example, the information generating component may also generate comparison value information by comparing the measurement value information at a specific time point or a specific time interval with the measurement value information at one or more different time points or different time intervals, and also generate comparison value information by evaluating the reliability of the comparison value information based on the measurement value reliability evaluation information related to each measurement value information corresponding to the comparison value information, and the database constructing component also matches and stores the specific time point and the different time points or specific time intervals for comparison and the comparison value information and the comparison value reliability evaluation information.

[0025] As an example, the database construction component may generate a multidimensional data table by matching the comparison value information on a coordinate table consisting of the specific time point and the different time points for comparison or the specific time interval and the different time intervals for comparison, and store the multidimensional data table in a database.

[0026] As an example, the database construction component may generate a multidimensional data table by matching the comparison value information and the comparison value reliability evaluation information on a coordinate table consisting of the specific time point and the different time points for comparison or the specific time interval and the different time intervals for comparison, and store the multidimensional data table in the database.

[0027] As an example, the space monitoring system may further include: a space situation judgment component, which provides a multidimensional data table generated based on the comparison value information to a user, or provides a multidimensional data table generated based on the comparison value information and the comparison value reliability evaluation information to a user.

[0028] In the prior art, it is necessary to set appropriate reference value information as an object for comparison with the measured information. However, in the present invention, the measured information can be compared with each other, so not only does it not need to set reference value information separately, but it can also grasp the situation of the space more accurately than when setting reference value information.

[0029] Furthermore, by storing the reliability evaluation information on the measured value information or the reliability evaluation information on the comparative value information in a database, it is possible to ensure accuracy and reliability when judging the situation of the monitored space.

[0030] Furthermore, according to the present invention, by providing a multidimensional data table of comparative value information to a manager or user as visual information, the manager or user can instantly recognize the situation occurring in the object space without difficulty.

[0031] Furthermore, by arranging and storing comparative value information that compares measurement value information at a specific time point with measurement value information at a different time point in chronological order, a database can be constructed while significantly reducing the storage data capacity.

[0032] The effects of the present invention are not limited to the effects mentioned above, and a person having ordinary knowledge in the technical field to which the present invention belongs clearly understands still another effect that is not mentioned from the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 A structural diagram of an embodiment of a space monitoring system according to the present invention is shown.

[0034] Figure 2A structural diagram showing an embodiment of an information generating component of a space monitoring system according to the present invention.

[0035] Figure 3 A structural diagram showing an embodiment of a database building component for a space monitoring system according to the present invention.

[0036] Figure 4 A structural diagram showing an embodiment of a space situation determination component of a space monitoring system according to the present invention.

[0037] Figure 5 A flowchart of an embodiment of a database building process for a space monitoring method according to the present invention is shown.

[0038] Figure 6 An embodiment of maintaining and managing a database during a database construction process of a space monitoring method according to the present invention is shown.

[0039] Figure 7 A flowchart showing an embodiment of evaluating the reliability of measurement value information in a database building process of a spatial monitoring method according to the present invention.

[0040] Figure 8 An embodiment of “noise” evaluation as one of the measurement value reliability evaluations regarding the measurement value information in the database construction process of the spatial monitoring method according to the present invention is shown.

[0041] Fig. 9 as well as Fig.10 An example of an evaluation of “measurement stability” as one of the evaluations of the reliability of measured value information in the database construction process according to the present invention will be described.

[0042] Fig.11 as well as Fig.12 An example of an evaluation of “frequency spectrum variability” as one of the evaluations of the reliability of measured value information in the database construction process according to the present invention will be described.

[0043] Fig.13 as well as Fig.14 An example of evaluation of “appropriateness of frequency resolution” as one of the measurement value reliability evaluations regarding the measurement value information in the database construction process according to the present invention is described.

[0044] Fig.15 A flow chart showing another embodiment of a database building process for a spatial monitoring method according to the present invention.

[0045] Figures 16 to 21An example of visually expressing a multidimensional data table for each situation generated by a database building process of the space monitoring method according to the present invention is shown.

[0046] Fig. 22 A flow chart showing yet another embodiment of a database building process for a spatial monitoring method according to the present invention.

[0047] Fig.23 as well as Fig.24 An example of visually expressing a multidimensional data table generated by reflecting the comparative value reliability evaluation information in the database construction process of the space monitoring method according to the present invention is shown.

[0048] Fig.25 A flow chart of an embodiment of a space situation determination process of a space monitoring method according to the present invention is shown. DETAILED DESCRIPTION

[0049] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings, but the present invention is not limited or restricted by the embodiments.

[0050] In order to illustrate the present invention and the advantages of the present invention in operation and the objects achieved by the implementation of the present invention, preferred embodiments of the present invention are illustrated and described below with reference to them.

[0051] First, the terms used in this application are used only to illustrate specific embodiments and are not intended to limit the intent of the present invention. Unless the context clearly indicates otherwise, a singular expression may include a plural expression. In addition, in this application, the terms "including" or "having" should be understood to specify the presence of features, numbers, steps, operations, constituent elements, accessories, or combinations thereof recorded in the specification, and do not preclude the presence or additional possibility of one or more other features or numbers, steps, operations, constituent elements, accessories, or combinations thereof.

[0052] When describing the present invention, if a detailed description of a related well-known structure or function is judged to be likely to obscure the gist of the present invention, the detailed description will be omitted.

[0053] The present invention proposes a scheme for constructing a database of frequency response-related information about a space so as to easily, quickly and accurately judge the situation of a monitored space and a technology for performing space monitoring using the database.

[0054] In the present invention, the expression "building a database" is used to mean, of course, the case where information is organized and stored in a permanent storage medium such as a hard disk, etc., and also the case where information is stored in a temporary storage medium such as a buffer.

[0055] The present invention relates to a "space monitoring system" and a "space monitoring method" using sound signals. First, the space monitoring system according to the present invention will be described.

[0056] Figure 1 A structural diagram of an embodiment of a space monitoring system according to the present invention is shown.

[0057] The space monitoring system may include an information generating component 100, a database building component 200, a space situation determining component 300, etc. The information generating component 100, the database building component 200, the space situation determining component 300, etc. may also be composed of one device and arranged at the same position, or may be composed of different devices and separated from each other, and thus arranged at different positions.

[0058] The information generating component 100 can measure the frequency response of the space at a specific time point or a specific time interval in the object space and generate the measured value information therefor. Furthermore, the information generating component 100 can compare a plurality of measured value information to generate the comparative value information. In addition, the information generating component 100 can evaluate the reliability of the measured value information to generate the measured value reliability evaluation information, and evaluate the reliability of the comparative value information to generate the comparative value reliability evaluation information.

[0059] The database construction means 200 can construct a database for spatial situation determination regarding the target space by organizing and processing various data generated by the information generation means 100 and accumulating and storing them.

[0060] As an example, the database construction component 200 may receive the measurement value information from the information generation component 100, organize the measurement value information in chronological order, and store it. In addition, the database construction component 200 may receive the comparison value information from the information generation component 100, and generate a multidimensional data table based on the comparison value information, and store it. In addition, the database construction component 200 may reflect the comparison value reliability evaluation information in the comparison value information, thereby generating a higher-dimensional data table, and store it.

[0061] The space situation determination component 300 can determine the situation of the target space based on the spatial frequency response measured in the information generation component 100. In this case, the space situation determination component 300 can use the database constructed in the database construction component 200 to instantly determine the space situation in a faster time.

[0062] Furthermore, the space situation determination component 300 can provide the multidimensional data table stored in the database construction component 200 in a visual form so that the manager or user can more easily understand the object space situation.

[0063] That is, the space situation judgment component 300 can provide a corresponding visual multidimensional data table together with the situation judgment information about the object space judged by the system, so as to eliminate the situation judgment errors about the object space and further improve the reliability of the situation judgment.

[0064] The various structures of the space monitoring system according to the present invention will be described in more detail through embodiments.

[0065] Figure 2 A structural diagram showing an embodiment of an information generating component of a space monitoring system according to the present invention.

[0066] The information generating means 100 may include a frequency response measuring unit 110 , a measured value information generating unit 130 , a comparative value information generating unit 150 , a reliability information generating unit 170 , and the like.

[0067] As an example, the frequency response measurement unit 110 may include a sound signal transmitter 111 , a sound signal processor 113 , a sound signal receiver 115 , etc., and measure a spatial frequency response with respect to the target space using a sound signal.

[0068] The sound signal transmitter 111 may include a member for transmitting a sound signal, such as a speaker, to transmit the sound signal to the target space. Here, the sound signal transmitter 111 may transmit various forms of sound signals.

[0069] As an example, the sound signal transmitter 111 may transmit only one frequency tone at a specific time, and transmit a single tone sound signal whose frequency changes with time. Here, a single tone sound signal whose frequency changes linearly with time may also be transmitted, or a single tone sound signal whose frequency changes step by step with time while maintaining the same frequency during a certain period of time may also be transmitted.

[0070] Alternatively, a sound signal including a synthesized sound of multiple frequency components whose frequency does not change with time may be transmitted. Alternatively, a sound signal including a synthesized sound of multiple frequency components whose frequency changes with time may be transmitted. Alternatively, a sound signal alternating between a single tone and a synthesized sound may be transmitted.

[0071] In addition, the sound signal transmitter 111 may transmit the sound signal through one speaker or through multiple speakers. When transmitting the sound signal through multiple speakers, the same sound signal may be transmitted or different sound signals may be transmitted.

[0072] The sound signal receiver 115 may include various measuring components such as a microphone that can measure sound pressure, sound intensity, etc. The sound signal receiver 115 may receive the sound signal through one microphone or a plurality of microphones.

[0073] The sound signal transmitter 111 and the sound signal receiver 115 may be formed of one device and disposed at the same location, or the sound signal transmitter 111 and the sound signal receiver 115 may be formed of different devices and separated from each other and thus disposed at different locations.

[0074] The sound signal processor 113 may provide the sound signal to be transmitted to the target space to the sound signal transmitter 111. In addition, the sound signal processor 113 may determine the frequency response of the space based on the sound signal received by the sound signal receiver 115.

[0075] As an example, in the case where the sound signal is a synthetic sound composed of multiple frequency components, the sound signal processor 113 can transform the received sound signal into the frequency domain through Fourier transform (FT) or fast Fourier transform (FFT) to measure the frequency response of the space. As another example, in the case where the sound signal is a single tone whose frequency changes with time, the sound pressure or phase value that changes with time can be measured and replaced with the sound pressure or phase value information that changes according to the frequency. In this case, the sound signal processor 113 can immediately measure the frequency response of the space without the process of Fourier transforming the received sound signal.

[0076] With the Figure 2 In the illustrated embodiment, the frequency response measurement unit 110 may be included as a component of the information generating component 100 . However, depending on circumstances, the frequency response measurement unit 110 may be configured as a separate device from the information generating component 100 as a separate terminal.

[0077] The measurement value information generating unit 130 may generate measurement value information including spatial frequency response information measured at a specific time point or a specific time interval. For example, the measurement value information generating unit 130 may receive transmission of spatial frequency response information measured by the frequency response measuring unit 110 at a specific time point or a specific time interval, thereby generating measurement value information including corresponding time point information or corresponding time interval information and spatial frequency response information.

[0078] Furthermore, the measurement value information generated by the measurement value information generating unit 130 may be transmitted to the database building means 200 and organized and stored.

[0079] The comparative value information generating unit 150 may generate comparative value information by comparing the measurement value information at a specific time point or a specific time interval with the measurement value information at a different time point or a different time interval.

[0080] As an example, the comparative value information generating unit 150 may generate comparative value information by comparing the measurement value information at the current time point or the current time interval generated by the measurement value information generating unit 130 with the measurement value information at a different time point or a different time interval stored in the database construction component 200. Alternatively, the comparative value information generating unit 150 may generate comparative value information by comparing a plurality of measurement value information stored in the database construction component 200. That is, the comparative value information generating unit 150 may generate information in time linkage with the measurement value information generating unit 130, or may generate information independently.

[0081] The comparative value information generated by the comparative value information generating unit 150 may be organized and stored in the database building means 200 .

[0082] The reliability information generating unit 170 may evaluate the reliability of the measured value information to generate the measured value reliability evaluation information. Alternatively, the reliability information generating unit 170 may evaluate the reliability of the comparative value information to generate the comparative value reliability evaluation information.

[0083] As an example, the reliability information generating unit 170 may evaluate the reliability of the measurement value information by evaluating one or more of various reliability evaluation factors such as noise of the measurement value information, measurement stability, spectrum variability, and appropriateness of frequency resolution, and generate measurement value reliability evaluation information based on this.

[0084] As an example, the reliability information generation unit 170 may evaluate the reliability of the comparative value information based on the measured value reliability evaluation information about each measured value information corresponding to the comparative value information, and generate the comparative value reliability evaluation information based on this. For example, the reliability information generation unit 170 may select the lowest value or calculate the multiplied value from the measured value reliability evaluation information about each measured value information corresponding to the comparative value information and generate it as the comparative value reliability evaluation information about the comparative value information. The generation of the comparative value reliability evaluation information may be configured to be linked in time with the generation of the measured value reliability evaluation information, or may be configured independently.

[0085] In this way, the information generating component 100 may include the structure described above and periodically or according to a control signal measure the frequency response of the space of the object, based on which various data for constructing a database are generated and provided, and real-time data for judging the situation of the object space can be provided.

[0086] Figure 3A structural diagram showing an embodiment of a database building component for a space monitoring system according to the present invention.

[0087] The database construction component 200 may include a measured value information processing unit 210, a comparative value information processing unit 230, a data management unit 250, a database 260, etc. The database 260 may be composed of a unified storage medium or a storage medium separated into a measured value information storage unit 270 and a comparative value information storage unit 290.

[0088] The measured value information processing unit 210 can work in conjunction with the information generating unit 100 to organize the measured value information measured at a specific time point or a specific time interval in chronological order and store it in the database 260. Preferably, the measured value information processing unit 210 can store the measured value information in the measured value information storage unit 270 in correspondence with the specific time point or the specific time interval. Here, the measured value information storage unit 270 can include various storage components or a temporary storage buffer for storing the measured value information.

[0089] As an example, when the information generating means 100 evaluates the reliability of the measured value information, the measured value information processing unit 210 may select only the measured value information having a reliability evaluation value of at least a reference value and store the selected information in the measured value information storage unit 270 .

[0090] Furthermore, the measured value information processing unit 210 may match the measured value information and the measured value reliability evaluation information and store the matched pairs in the measured value information storage unit 270 .

[0091] The comparative value information processing unit 230 can cooperate with the information generating means 100 to receive the transmission of comparative value information, organize and process the comparative value information, and store the comparative value information in the comparative value information storage unit 290 .

[0092] As an example, the comparison value information processing unit 230 may match a specific time point corresponding to the comparison value information and a different time point compared thereto or a specific time interval corresponding to the comparison value information and a different time interval compared thereto with the comparison value information to generate a multidimensional data table in time order, and store it in the comparison value information storage unit 290. Here, the comparison value information processing unit 230 may also generate a multidimensional data table of values ​​with the data values ​​of the comparison value information, or may also generate a visual multidimensional data table by expressing the data values ​​of the comparison value information with various elements such as brightness, color, size, height, etc.

[0093] Furthermore, the comparative value information processing unit 230 may generate a time-sequential multidimensional data table by reflecting comparative value reliability evaluation information on comparative value information.

[0094] As an example, the comparison value information processing unit 230 may reflect the comparison value reliability evaluation information in a multidimensional data table about the comparison value information to generate a higher-dimensional data table. Here, the comparison value information processing unit 230 may also match the data values ​​of the comparison value information with the data values ​​of the comparison value reliability evaluation information to generate a multidimensional data table of values, or may also match the data values ​​of the comparison value information with the data values ​​of the comparison value reliability evaluation information to generate a visual multidimensional data table represented by various elements such as brightness, color, size, and height.

[0095] Furthermore, the comparative value information processing unit 230 may store a multidimensional data table in which the comparative value reliability evaluation information is reflected in the comparative value information in the comparative value information storage unit 290 .

[0096] The data management unit 250 can maintain and manage the data and data tables stored in the measurement value information storage unit 270 and the comparison value information storage unit 290 .

[0097] As an example, when the amount of measurement value information stored in the measurement value information storage unit 270 exceeds a preset retention amount or the retention time of the stored measurement value information exceeds a preset retention time, the data management unit 250 may sequentially remove measurement value information with a longer measurement time sequence from the measurement value information storage unit 270 .

[0098] In this way, the database construction means 200 includes the above-described structure and can organize and process the measurement value information and the comparison value information, accumulate and store them, and provide the stored data when determining the situation of the target space.

[0099] In particular, the database construction component 200 can significantly improve the data processing speed of the space situation judgment component 300 by providing the comparison value signal that compares not only the measurement value information corresponding to the frequency response of the space but also the measurement value information at different time points or different time intervals to the space situation judgment component 300 described later in the form of a multidimensional data table.

[0100] Figure 4 A structural diagram showing an embodiment of a space situation determination component of a space monitoring system according to the present invention.

[0101] The space situation determination component 300 may include a data analysis unit 310 , an event situation determination unit 330 , a situation information providing unit 350 , and the like.

[0102] The data analysis unit 310 may receive the transmission of the measurement value information at a specific time point or a specific time interval from the information generation component 100, and receive the provision of the measurement value information at multiple different time points or multiple different time intervals from the database construction component 200. In addition, the data analysis unit 310 may compare the measurement value information at a specific time point or a specific time interval with the multiple measurement value information at different time points or different time intervals to analyze the degree of change and the change pattern of the measurement value information.

[0103] Alternatively, the data analysis unit 310 may receive the transmission of the multidimensional data table from the database construction component 200 and analyze the change degree and change pattern of the comparison value information.

[0104] The event situation determination unit 330 may determine the situation of the target space based on the analysis result of the data analysis unit 310 .

[0105] As an example, the event situation determination unit 330 may determine the situation of the target space by comparing the analysis results such as the degree of change and the pattern of change of the measured value information and the degree of change and the pattern of change of the comparative value information with the information according to the situation stored in advance.

[0106] In this way, the data analysis unit 310 may analyze the data stored in the database construction means 200, and the event situation determination unit 330 may determine the situation of the object space based on the analysis result.

[0107] The situation information providing unit 350 may provide state information of the object space determined by the event situation determining unit 330 .

[0108] The status information provided by the situation information providing unit 350 may include various event situation information such as invasion and fire of the target space. In addition, the status information may include a multidimensional data table that visually represents the current situation. As an example, the situation information providing unit 350 may extract and provide a visual multidimensional data table stored in the database construction component 200. Alternatively, the situation information providing unit 350 may extract a multidimensional data table of numerical values ​​stored in the database construction component 200, generate a visual multidimensional data table using the multidimensional data table, and provide the multidimensional data table. In this case, a visual multidimensional data table that represents the data in various elements such as brightness, color, size, and height may be generated and provided to the user.

[0109] Furthermore, the situation information providing unit 350 may provide a multidimensional data table that visually represents the reference situation together with a multidimensional data table that visually represents the current situation. Here, the visual multidimensional data table for the reference state information may be a typical visual multidimensional data table corresponding to the corresponding event situation such as intrusion, fire, etc. The situation information providing unit 350 may retain multidimensional data tables corresponding to each reference situation in advance. This allows the user or manager to visually compare the multidimensional data table for the current situation with the multidimensional data table for the reference situation and instantly recognize the current situation of the object space.

[0110] Thus, the present invention proposes a space monitoring system that can construct a database that organizes, stores and analyzes data according to various situations and accurately and instantly judge the space situation based on this.

[0111] In addition, the present invention proposes a space monitoring method using sound signals. The space monitoring method according to the present invention will be described below with reference to the embodiment of the space monitoring system according to the present invention described above. First, the database construction process of the space monitoring system will be described through an embodiment, and the space situation monitoring process using the constructed database will be described through an embodiment.

[0112] Figure 5 A flowchart of an embodiment of a database building process for a space monitoring method according to the present invention is shown.

[0113] The information generating means 100 may measure a spatial frequency response with respect to the target space ( S110 ), and generate measurement value information based on the frequency response ( S120 ).

[0114] As an example, the information generating component 100 can transmit a sound signal to the target space and receive a sound signal on the target space. Here, the sound signal can also be a sound signal of a synthetic sound composed of multiple frequency components, or a sound signal of a single tone that changes with time frequency, or a sound signal of a synthetic sound and a single tone alternating, as described above.

[0115] The information generating means 100 can measure the sound pressure or phase according to the frequency based on the sound signal received at a specific time point or a specific time interval.

[0116] For example, when using a sound signal of a synthetic sound composed of a plurality of frequency components, the received sound signal may be transformed into a frequency domain by a Fourier transform algorithm or a fast Fourier transform algorithm to measure the sound pressure according to the frequency.

[0117] As another example, in the case of using a single-tone sound signal whose frequency changes with time, a sound of a specific single frequency is emitted at a specific time point, so the information generating component 100 can also measure the frequency response of the space by immediately converting the sound pressure value or phase value measured at the specific time point into a sound pressure value or phase value according to the emission frequency. That is, in this case, the sound pressure value according to the frequency is measured almost in real time, so Fourier transform is not required separately.

[0118] The information generating means 100 can generate the measurement value information by associating the specific time point information or the specific time section information with the frequency response information of the measured space.

[0119] The information generating means 100 may transmit the measured value information to the database constructing means 200, and the database constructing means 200 may organize and store the measured value information in chronological order (S140).

[0120] Preferably, the information generating component 100 can evaluate the reliability of the measured value information (S130). As an example, the information generating component 100 can evaluate the measured value information on one or more of various reliability evaluation factors such as noise, measurement stability, spectrum variability, and appropriateness of frequency resolution. In addition, the information generating component 100 can additionally generate measured value reliability evaluation information about the measured value information.

[0121] The database construction means 200 can match the measured value reliability evaluation information with the measured value information, and store them in chronological order (S140).

[0122] As an example, when the reliability evaluation of the measured value information is completed, the information generating means 100 may provide only the measured value information whose measured value reliability evaluation information is greater than the reference value to the database constructing means 200. Alternatively, the information generating means 100 may transmit the measured value reliability evaluation information together with the measured value information to the database constructing means 200, and the database constructing means 200 may select and store only the measured value information whose measured value reliability evaluation information is greater than the reference value.

[0123] As another example, the database construction means 200 may match the measured value reliability evaluation information with the measured value information and store them in chronological order regardless of whether the measured value reliability evaluation information is equal to or greater than the reference value.

[0124] The information generating means 100 and the database constructing means 200 may construct a database by performing the above process periodically or repeatedly according to a control signal (S150).

[0125] Furthermore, the database construction component 200 can maintain and manage the stored data (S160). As an example, the database construction component 200 can remove and sort out the old measured value information when the amount of stored measured value information exceeds a certain level or exceeds a certain retention time.

[0126] In connection with this, Figure 6 An embodiment of maintaining and managing a database during a database construction process of a space monitoring method according to the present invention is shown.

[0127] Refer to the Figure 6 , the database construction component 200 may store the measurement value information 420a, 420b, and 420n in a sequence of 3-second intervals from 0 seconds to 60 seconds as the measurement value information data 400. If new measurement value information 410 about the current time point is transmitted after a certain period of time, the database construction component 200 may delete the measurement value information 430 at a time point in the past that is more than 60 seconds past the current time point, and store the new measurement value information 410 at the current time point in a chronological order.

[0128] This is an example in which the measured value information stored in the database construction component 200 can be continuously deleted and updated according to a set retention time or a set retention number. The retention time and retention number set here can be appropriately changed as needed.

[0129] Next, a description will be given of a process of evaluating the reliability of the measurement value information based on various reliability evaluation factors in the present invention.

[0130] Figure 7 A flowchart showing an embodiment of evaluating the reliability of measurement value information in a database building process of a spatial monitoring method according to the present invention.

[0131] When the measurement value information is generated ( S210 ), the information generating means 100 may evaluate the reliability of the measurement value information using various evaluation factors.

[0132] As an example, the noise of the measured value information can be evaluated (S220). In addition, the stability of the measurement can be evaluated (S230). In addition, the spectral variability of the measured value information can be evaluated (S240). In addition, the frequency resolution suitability of the measured value information can be evaluated (S250). As an example of such reliability evaluation factors, various evaluation factors that can confirm the reliability of the measured value information can be considered.

[0133] The information generating means 100 can selectively evaluate any one or more of various reliability evaluation factors such as noise evaluation, measurement stability evaluation, spectrum variability evaluation, and frequency resolution suitability evaluation, or can simultaneously evaluate a plurality of evaluation factors.

[0134] In addition, the information generation component 100 may generate the measurement value reliability evaluation information reflecting the evaluation results according to the reliability evaluation elements (S260). The information generation component 100 may generate the measurement value reliability evaluation information including the evaluation results according to the plurality of reliability evaluation elements individually. Alternatively, a comprehensive evaluation result of the plurality of evaluation results according to the plurality of reliability evaluation elements may be generated as the measurement value reliability evaluation information.

[0135] As an example, when the evaluation results according to the reliability evaluation elements are calculated as numerical values ​​or levels, the information generating component 100 may generate the measurement value reliability evaluation information by selecting the lowest value or the lowest level evaluation result among the results according to the reliability evaluation elements or by multiplying the result values ​​according to the reliability evaluation elements.

[0136] Each reliability evaluation factor for evaluating the reliability of the measurement value information will be described in a slightly more specific manner.

[0137] Regarding the noise evaluation of the measured value information, Figure 8 An example of “noise” evaluation as one of the measurement value reliability evaluations regarding the measurement value information in the database construction process according to the present invention is shown.

[0138] When noise that is temporarily or continuously generated in the target space is mixed with the sound signal and received, the noise may cause errors in the understanding of the situation in the corresponding space. For example, it may cause an error in misjudging a specific situation that has not actually occurred in the corresponding space, or it may cause an error in failing to recognize an emergency situation due to noise.

[0139] Due to such noise inflow, the sensing reliability of the space monitoring system may be greatly reduced. In particular, when multiple frequency response measuring units 110 are arranged in adjacent spaces, the sound signals emitted from other frequency response measuring units may act as noise to a specific frequency response measuring unit. In this way, the arrangement of multiple frequency response measuring units in order to monitor the monitoring target space more carefully may instead become a cause of reducing the sensing performance of the space monitoring system.

[0140] In the present invention, the reliability information generating unit 170 of the information generating means 100 may generate the measurement value reliability evaluation information by evaluating the noise of the measurement value information.

[0141] The reliability information generating unit 170 may receive the measurement value information generated by the frequency response measuring unit 110 ( S321 ), and evaluate the noise of the measurement value information by applying various methods such as envelope analysis, frequency component analysis, and rest time interval analysis on the measurement value information.

[0142] As one method of evaluating noise, the noise can be evaluated by envelope analysis (S322) of the measured value information. For example, the envelope of the measured value information can be detected, and the form and size of the detected envelope can be compared with the envelope of the reference value to evaluate the noise.

[0143] As another method for evaluating noise, noise can be evaluated by frequency component analysis (S323) of the measured value information. For example, when frequency components other than the frequency components of the sound signal emitted to the target space appear at a sound pressure of a certain level or more on the measured value information, it can be evaluated that noise exists. Alternatively, when the frequency response of the measured value information is different from the normal frequency response by a certain level or more, it can be evaluated that noise flows in.

[0144] Alternatively, the noise can be evaluated by filtering the measured value information through a frequency filter to measure the intensity of frequency components other than the frequency of the sound signal transmitted to the target space. For example, in the absence of external noise, no sound should be received in the frequency domain other than the frequency of the sound signal transmitted from the frequency response measurement unit 110. If a sound pressure of a certain level or more is measured in the frequency domain other than the frequency of the transmitted sound signal, it can be evaluated that noise is flowing in.

[0145] Such a method is based on the reasonable assumption that when noise with a frequency component different from the frequency of the transmitted sound signal is measured, noise with a frequency component the same as the frequency of the transmitted sound signal is also included, or even if this is not the case, there is a high possibility of causing errors in the process of grasping the spatial situation.

[0146] As another method for evaluating noise, when the sound is emitted to the target space only in the active time interval, the noise in the rest time interval before and after the specific active time interval may be analyzed (S324), thereby evaluating the noise in the specific active time interval based on the analysis. For example, when it is evaluated that there is noise in the rest time interval before or after the specific active time interval, it can be determined that the measurement value information of the specific active time interval is likely to contain noise.

[0147] Furthermore, the various noise evaluation methods described above may be selectively or overlappingly applied to evaluate the noise of the measurement value information (S325). Through the above process, the noise can be evaluated as one of the measurement value reliability evaluation factors for the measurement value information.

[0148] In addition, based on the noise evaluation result, the measured value reliability evaluation information about the corresponding measured value information can be generated. For example, the measured value reliability evaluation information that distinguishes whether the noise flows into the measured value information can be generated. Alternatively, the degree of noise inflow can be converted into a numerical value or divided into levels to generate the measured value reliability evaluation information about the corresponding measured value information.

[0149] Fig. 9 as well as Fig.10 An example of an evaluation of “measurement stability” as one of the methods for evaluating the reliability of measured value information in a database construction process according to the present invention will be described.

[0150] When there is no change in the situation in the same target space, the frequency responses of the space measured repeatedly should not differ greatly from each other, so that the stability of the space monitoring system can be ensured. If the frequency responses of the space are measured differently in the same target space even if there is no change in the situation, the reliability of the space monitoring system may be reduced. However, the reliability (stability of measurement) of the space monitoring system may change according to the frequency of the transmitted sound signal, for example.

[0151] In order to determine the stability of the measurement, the frequency response measurement unit 110 of the information generating means 100 repeatedly transmits a sound signal to the target space (S331) and receives the sound signal of the target space (S332). In addition, the frequency response of the space can be repeatedly measured using the received sound signal (S333).

[0152] The frequency response measuring unit 110 of the information generating component 100 may obtain the measurement value information during the set number of times (S334). In addition, the reliability information generating unit 170 of the information generating component 100 may analyze the correlation or similarity of each measurement value information (S335), and based on this, evaluate the stability of the measurement of the emitted sound signal (S336).

[0153] Said Fig.10 The frequency response of the space is shown as a sound pressure spectrum. Assume that the same sound signal is repeatedly transmitted and received to the object space to obtain the Fig.10 (a) The first sound pressure spectrum 511 and as described Fig.10 (b) is the case of the second sound pressure spectrum 512.

[0154] If the correlation between the first sound pressure spectrum 511 and the second sound pressure spectrum 512 is analyzed to understand the degree of similarity, it can be evaluated as being similar at a reference value or above, so the result can be judged as sufficient stability of the measurement. When the stability measured by repeatedly evaluating the stability of the emitted sound signal is sufficient at a certain level, the emitted sound signal can be regarded as a sound signal suitable for monitoring the target space.

[0155] As a different case, it is assumed that the same sound signal is repeatedly transmitted and received to the target space to obtain the above Fig.10 (a) The first sound pressure spectrum 511 and as described Fig.10 (c) is the case of the third sound pressure spectrum 513.

[0156] If the correlation between the first sound pressure spectrum 511 and the third sound pressure spectrum 513 is analyzed to understand the degree of similarity, it can be evaluated as dissimilar below the reference value, so in this case it can be determined that the stability of the measurement is insufficient. In this case, the emitted sound signal can be regarded as a sound signal that is not suitable for monitoring the target space. That is, the frequency response of the space measured by emitting such a sound signal may not be suitable for judging the situation of the target space.

[0157] Through the above process, the stability of the measurement can be evaluated as one of the measurement value reliability evaluation factors. In addition, based on the measurement stability evaluation result, for example, measurement value reliability evaluation information that distinguishes whether the stability of the measurement related to the measurement value information is suitable or not can be generated. Alternatively, the degree of measurement stability can be converted into a numerical value or divided into grades to generate the measurement value reliability evaluation information related to the corresponding measurement value information.

[0158] Fig.11 as well as Fig.12 An example of evaluating “frequency spectrum variability” as one of the methods for evaluating the reliability of measured value information in the database construction process according to the present invention is described.

[0159] If a sound pressure spectrum is taken as an example of a frequency response of a space, when a specific sound signal is emitted to the target space and the sound pressure of the spectrum measured has a range greater than a reference range, the spectrum can be judged to have appropriate variability. However, on the contrary, when the sound pressure of the measured spectrum has a range less than the reference range, the spectrum cannot have appropriate variability, and it can be judged to be inappropriate to grasp the situation of the target space using such a sound signal.

[0160] By measuring the frequency shift between the repeatedly measured sound pressure spectra, the temperature change in the space can be understood, and the accuracy of the frequency shift measurement can be improved as the difference between the maximum and minimum sound pressure values ​​that change according to the frequency increases. If the difference between the maximum and minimum sound pressure values ​​is very small and the sound pressure spectrum shows a flat curve, it is difficult to accurately measure the frequency shift. For this reason, it is necessary to select a sound signal in which the maximum and minimum sound pressure values ​​in the sound pressure spectrum differ by a certain level or more.

[0161] As an example for determining the variability of the spectrum, the maximum and minimum values ​​of the sound pressure value in the measured sound pressure spectrum are grasped (S341). In addition, the difference between the maximum and minimum values ​​is calculated (S342), and the variability of the spectrum of the sound signal is evaluated by comparing it with a reference range (S343) (S344).

[0162] As an example of evaluating the variability of a spectrum, refer to Fig.12 To explain, Fig.12 The frequency response of a room is shown as a sound pressure spectrum.

[0163] Assume that a specific sound signal is transmitted to the target space and received as described above. Fig.12 The fourth sound pressure spectrum 521 of (a) is shown in FIG. The difference between the maximum value MAX and the minimum value MIN of the sound pressure value in the fourth sound pressure spectrum 521 is shown as H1. When the difference H1 satisfies the set reference range, the variability of the spectrum can be sufficient. In this case, the frequency response of the space measured using the specific emitted sound signal used can be correlated with the variability of the spectrum when the temperature change of the sensing space is detected, thereby ensuring reliability.

[0164] As a different case, it is assumed that a specific sound signal is transmitted to the target space and received to obtain the Fig.12 (b) is the case of the fifth sound pressure spectrum 522.

[0165] The difference between the maximum value MAX and the minimum value MIN of the sound pressure value in the fifth sound pressure spectrum 522 is shown as H2. When the difference H2 cannot meet the set reference range, the variability of the spectrum is insufficient. In this case, the frequency response of the space measured by using the specific emitted sound signal may not be suitable for temperature change sensing of the target space.

[0166] The above utilizes the difference between the maximum and minimum spectral sound pressure values ​​as a basis for determining the variability of the spectrum. In addition, the dispersion of sound pressure values, standard deviation, mean deviation, quartile deviation and other dispersion degrees (degree of scattering) can also serve as a basis for determining the variability of the spectrum.

[0167] Through the above process, the variability of the spectrum can be evaluated as one of the measurement value reliability evaluation factors. In addition, based on the evaluation result of the variability of the spectrum, for example, the measurement value reliability evaluation information that distinguishes whether the variability of the spectrum of the measurement value information is suitable or not can be generated. Alternatively, the degree of variability of the spectrum can be converted into a numerical value or divided into grades to generate the measurement value reliability evaluation information about the corresponding measurement value information.

[0168] Fig.13 as well as Fig.14 An example of evaluation of “appropriateness of frequency resolution” as one of the methods for evaluating the reliability of measured value information in the database construction process according to the present invention will be described.

[0169] Even with the aforementioned spectral variability in mind, spatial frequency response determinations may include errors when the adequacy of the frequency resolution is not adequate.

[0170] Frequency resolution refers to the interval between the closest frequencies that can be distinguished. If a sound signal containing N frequency components is emitted and the frequency response of a space is measured, the measured sound pressure spectrum can be expressed as N points showing the sound pressure of N frequencies. In this case, the frequency interval between each point can be called resolution.

[0171] If the emitted sound is in the form of a sine sweep in which a single frequency changes linearly over time, the measured sound pressure spectrum may be expressed as a curve instead of an integer number of points. However, even if the spectrum is expressed as a curve, there is actually a resolution that is the ability to distinguish a specific frequency from the nearest frequency. In this case, the resolution is determined by the performance of the accessories constituting the space monitoring system, the operating conditions or data processing conditions of the space monitoring system, the sampling rate, etc.

[0172] If there are a very large number of peaks in the frequency band (window) of the spectrum, the spectrum cannot be accurately expressed unless sufficient resolution is ensured. In this case, the sound signal needs to be changed to an appropriate frequency resolution in order to accurately measure the frequency response of the space.

[0173] As an example, compare Fig.14 (a) and (b) illustrate that in both cases the maximum and minimum differences in the total sound pressure, i.e. the variability of the spectrum, are the same, but in the Fig.14 In (a), the spectrum 531 is relatively flat and the number of peaks in the window is small. Fig.14 In (b), the spectrum 532 is severely bent and the number of peaks in the window is large. Fig.14In the case of spectrum 531 of (a), as an example, 20 frequencies can be used and represented by 20 points. However, if you want to correctly represent Fig.14 The spectrum 532 of (b) requires, as an example, 200 frequencies to be used and represented at 200 points, so the frequency interval or frequency resolution can only be narrow.

[0174] If the frequency resolution is evaluated to be inappropriate, the center frequency may be changed and the appropriateness of the frequency resolution may be evaluated again in another frequency band, or the resolution (eg, frequency interval) itself may be adjusted while the center frequency is maintained as it is.

[0175] As an example, the evaluation of the suitability of the frequency resolution can be determined based on the slope of the spectrum. For example, suppose a sound pressure spectrum is represented as sound pressure values ​​(vertical coordinate values) for N frequencies (horizontal coordinate values) with a frequency interval d. If Fig.14 (a) When the average absolute value of the slope of the spectrum is small, the spectrum can be properly expressed even if the frequency interval d is large. On the contrary, when the average absolute value of the slope of the spectrum is large, as described above Fig.14 In the case of (b), only when the frequency interval d is sufficiently narrowed can the spectrum be fully displayed.

[0176] When the spectrum is expressed as sound pressure values ​​for N frequencies, there are N-1 absolute values ​​p of the difference in sound pressure values ​​between adjacent frequencies. If the value obtained by adding all N-1 p's is divided by the window width d*N-1, this can be the average of the absolute values ​​of the slope of the spectrum waveform. On the other hand, if the spectrum is expressed as a curve, if the value obtained by adding all the absolute values ​​of the difference between the maximum and minimum values ​​of multiple peaks in the spectrum is divided by the window width, this can be the average of the absolute values ​​of the slope of the spectrum.

[0177] Refer to the Fig.13 In order to evaluate the suitability of the frequency resolution, the frequency band of the sound pressure spectrum is grasped (S351), the slope of the spectrum waveform is grasped (S352), and the average value of the absolute value of the slope is calculated (S353). In addition, the calculated average value can be compared with the reference range (S354) to evaluate the suitability of the frequency resolution (S355).

[0178] Through the above process, the appropriateness of the frequency resolution can be evaluated as one of the reliability evaluation factors for the measured value information. In addition, based on the evaluation result of the appropriateness of the frequency resolution, for example, the measured value reliability evaluation information that distinguishes the appropriateness of the frequency resolution for the measured value information can be generated. Alternatively, the degree of resolution appropriateness can be converted into a numerical value or divided into levels to generate the measured value reliability evaluation information for the corresponding measured value information.

[0179] The reliability information generating unit 170 of the information generating means 100 may generate the measured value reliability evaluation information including the evaluation results based on the plurality of reliability evaluation elements individually, or may generate a comprehensive evaluation result integrating the evaluation results based on the plurality of reliability evaluation elements as the measured value reliability evaluation information.

[0180] In the present invention, the database construction means 200 can store the above-described measured value reliability evaluation information in a matching manner with the measured value information, thereby minimizing errors in grasping the spatial situation and reducing the amount of stored data.

[0181] The received sound signal itself contains the most information, but the storage capacity is very large. For example, in order to measure a frequency response, it is necessary to receive 3 seconds of sound. At this time, if the voltage output from the microphone is measured 200,000 times per second with a precision of 2 bytes, it will be necessary to store 1.2 megabytes of data for one frequency response measurement.

[0182] However, if the received sound signal itself is not permanently stored, but only the measured frequency response data is stored, and if a frequency response spectrum is composed of 100 points with a precision of 2 bytes, then a frequency response measurement value has a capacity of 200 bytes.

[0183] However, in this case, the amount of stored data will be reduced by 6000 times, but important information included in the received sound signal itself may be lost. The most representative one is noise information.

[0184] In the present invention, instead of storing, for example, 1.2 megabytes of received sound signals, 200 bytes of frequency response data are stored, and reliability information including noise is additionally stored with, for example, 2 bytes. Thus, while the amount of data to be stored is greatly reduced, important information such as measurement value reliability information that cannot be lost is stored separately, and ultimately reliability can be ensured when grasping the situation of the monitored space.

[0185] Furthermore, in the present invention, while storing the measurement value information for a certain period of time, the measurement value information at a specific time point or a specific time interval is compared with the measurement value information at a different time point or a different time interval to generate comparative value information, and the comparative value information is sorted and stored in chronological order, thereby further reducing the amount of stored data. For example, when storing two frequency response measurement value information, a capacity of 400 bytes is required, but in the present invention, by comparing the two frequency response measurement values ​​and storing the comparative value information, only 8 bytes of capacity are required.

[0186] In connection with this, Fig.15 A flow chart showing another embodiment of a database building process for a spatial monitoring method according to the present invention.

[0187] When the information generating component 100 obtains the measurement value information at a specific time point or a specific time interval (S410), the stored measurement value information at a different time point or a different time interval is extracted from the measurement value information storage unit 270 (S420). In addition, the comparative value information generating unit 150 of the information generating component 100 may compare the measurement value information at a specific time point with the measurement value information at a different time point or the measurement value information at a specific time interval with the measurement value information at a different time interval (S430), thereby generating comparative value information (S440).

[0188] The comparison value information generating unit 150 of the information generating component 100 can generate the comparison value information by comparing the measured value information with the same frequency. As an example, the comparison value information can be generated based on the difference between the measured value information at a specific time point and the measured value information at different time points. As another example, the comparison value information can also be generated based on the correlation analysis, frequency offset, etc. between the measured value information at a specific time interval and the measured value information at different time intervals.

[0189] The comparative value information generating unit 150 may generate comparative value information by comparing the measurement value information at a specific time point with all or selected measurement value information of the same frequency at different time points stored in the measurement value information storage unit 270. Alternatively, the comparative value information generating unit 150 may generate comparative value information by comparing the measurement value information at a specific time interval with all or selected measurement value information of different time intervals stored in the measurement value information storage unit 270.

[0190] The comparison value information processing unit 230 of the database construction component 200 may match the comparison value information with the corresponding specific time point and the different time point for comparison or the corresponding specific time interval and the different time interval for comparison and store the result in the database 260 .

[0191] As an example, the comparison value information processing unit 230 of the database construction component 200 may generate a multidimensional data table of the time sequence of the comparison value information (S450). As an example, the database construction component 200 may generate a multidimensional data table of values ​​using the data values ​​of the comparison value information, or may generate a visual multidimensional data table by expressing the data values ​​of the comparison value information with various elements such as brightness, color, size, height, etc.

[0192] In addition, the generated multidimensional data table may be stored in the comparison value information storage unit 290 .

[0193] If new comparative value information is obtained, the comparative value information processing unit 230 can continuously update the database 260 to construct a database about comparative value information (S460). For example, if new comparative value information is obtained over time, the comparative value information processing unit 230 can continuously update the multidimensional data table to construct a database about comparative value information (S460).

[0194] In this embodiment, the comparative value information is generated by comparing the measured value information immediately after the measured value information is generated, but the generation of the measured value information and the generation of the comparative value information may be performed independently. For example, while the measured value information is continuously added over time to build a database, the comparative value information may be generated by extracting the measured value information stored in the database periodically or according to a control signal independently of the measurement value information generation process.

[0195] Furthermore, when the comparative value information is generated, the multidimensional data table may be immediately generated to reflect this, or after the database of comparative value information is constructed, the multidimensional data table of comparative value information may be periodically or selectively generated.

[0196] Here, the database construction component 200 may generate a multidimensional data table of values ​​with the data values ​​of the comparison value information, or may generate a visual multidimensional data table by expressing the data values ​​of the comparison value information with various elements such as brightness, color, size, height, etc. Figures 16 to 21 The multidimensional data table according to various situations generated by the database construction process of the space monitoring method according to the present invention is visually represented.

[0197] The multidimensional data table in the drawings attached to the patent application conditions is expressed in black and white, but the inventor actually implemented the multidimensional data table in color, so the following description is based on the premise that the multidimensional data table is implemented in color.

[0198] In the Fig.16 To the Fig.21 The a value on the Y axis shows the time difference between a specific time point or a specific time interval and the current time point in seconds. On the other hand, the b value on the X axis is a relative value with respect to the a value, showing the time difference between a specific time point or a specific time interval represented by a and a different time point or time interval compared thereto in seconds. In other words, Figures 16 to 21 After comparing the measurement value information measured a seconds ago from the current time point with the measurement value information measured (a+b) seconds ago from the current time point to generate comparative value information, the value is displayed in color or column height in the coordinates where the Y-axis value is a and the X-axis value is b.

[0199] When the comparative value information is expressed using color elements, the RGB hue may be applied in multiple stages in consideration of the size and interval of the maximum and minimum values ​​of the comparative value information. Figures 16 to 21 In (a), the darker the color of the crimson series, the larger the numerical value of the comparative value information, and the darker the color of the dark green series, the smaller the numerical value of the comparative value information. That is, the redder the color, the greater the difference between the two measured value information, and the greener the color, the smaller the difference between the two measured value information.

[0200] As another example, when the comparative value information is expressed using the column height, the column height may be set in consideration of the size and interval of the maximum and minimum values ​​of the comparative value information. Figures 16 to 21 In (b), the higher the column height, the larger the numerical value of the comparison value, that is, the difference between the two measured value information being compared is large.

[0201] Here, the comparison value information may include not only the difference between the measured values ​​but also the frequency offset amount and the like.

[0202] Further, in the Figures 16 to 21 In the comparison value information, the comparison value information is expressed as a color or a column height of a positive number, but it can also be expressed as various elements such as brightness, positive and negative column heights. Fig.16 To the Fig.21 In (b), a columnar form in which each comparative value information has an individual height is adopted, but it may also be expressed as a three-dimensional curved surface in which the heights of the comparative value information are connected.

[0203] The following description is about the Fig.16 To the Fig.21 Data analysis examples of various multidimensional data tables shown.

[0204] Said Fig.16 The multidimensional data tables 610a and 610b for comparative value information are shown in the case where the object space remains stable and the measured value information does not change significantly. The measured value information at each time point is similar within a certain level, so all comparative value information has a small value below a certain level.

[0205] Said Fig.17 The multidimensional data tables 620a and 620b of the comparative value information shown are the cases where a certain change occurs at a time point 75 seconds past the current time point, that is, at a time point where the a value is 75 seconds, and there is no further change and the state continues. For example, the case where the state is maintained after a window is opened in the object space, the case where the state is maintained after the furniture configuration in the object space is changed, etc. The state is maintained after the state of the object space changes, so that the color change area 621a or the height change area 621b that is significant compared to the usual state has a triangular form.

[0206] Said Fig.18 The multidimensional data tables 630a and 630b shown for the comparative value information are for situations where a temporary change occurs at the time point of 75 seconds elapsed and then returns to the original state and continues. For example, a situation where an intruder enters the target space and then immediately leaves, or a situation where a window is opened and then immediately closed again. As a result of the influence of such spatial situation changes on the comparative value information, data tables 630a and 630b with specific forms and area patterns corresponding to the corresponding situations are generated, which have significant color change areas 631a or height change areas 631b.

[0207] Said Fig.19 The multidimensional data tables 640a and 640b shown for the comparative value information are for situations where a significant change occurs at the time point 75 seconds have passed (the a value is 75) and has continued to change until now. For example, a situation where an intruder has entered the object space and has moved in the object space until now. As a result of the influence of such spatial situation changes on the comparative value information, data tables 640a and 640b with specific forms and area patterns corresponding to the respective situations are generated, which have significant color change areas 641a or height change areas 641b.

[0208] Said Fig. 20 The multidimensional data tables 650a and 650b for the comparative value information shown are the cases where gradual and directional changes from the time point 57 seconds have passed to the present are connected. For example, a fire occurs in the target space. In the early stage of the fire, the temperature change is very small and the result is small, but as the fire progresses, the temperature gradually rises, and the comparative value continues to expand. The data tables 650a and 650b with unique patterns in which the color change area 651a or the height change area 651b gradually strengthens as the temperature of the target space gradually rises are generated.

[0209] Said Fig.21 The multidimensional data tables 660a and 660b of the comparative value information are shown in the case where a significant change gradually occurs from a past time point, and then the change disappears at a time point of 63 seconds, and then slowly returns to a normal state. For example, a fire occurred in the object space a long time ago, and then the fire disappears at a time point of 63 seconds from now. The data tables 650a and 650b with unique patterns in which the color change area 661a or the height change area 661b gradually weakens as the temperature of the object space gradually decreases are generated.

[0210] Thus, in the present invention, the comparison value information comparing the measurement value information at a specific time point or a specific time interval with the measurement value information at different time points or different time intervals can be matched with the corresponding time point or the corresponding time interval, thereby constructing a database about the comparison value information using a multidimensional data table.

[0211] Furthermore, as will be described again later, by providing such a multidimensional data table regarding the comparative value information to a manager or user in the form of visual information, the manager or user can immediately recognize the situation occurring in the object space. That is, it is difficult for an ordinary manager or user who is not a skilled engineer to interpret data consisting of complex numerical values ​​or text. However, in the present invention, data can be provided to the user by visually expressing it in the form of color or height, etc., and the visual information is expressed in a unique pattern according to the situation of the monitored object space, so that an ordinary manager or user who is not a skilled engineer can also easily and quickly grasp the situation occurring in the object space.

[0212] Furthermore, according to the present invention, a reference table of typical patterns representing specific situations can be provided to managers or users. The managers or users infer the current situation of the object space based on the visual pattern of the multidimensional table. In this case, by comparing the visual pattern of the reference table representing the typical situation with the current visual pattern, the current situation can be inferred more easily and accurately. For example, if the visual pattern of the data table representing the situation of the object space is shown as Fig.18 The user can infer that the object space will return to its original state immediately after a temporary change in the object space. The manager can also learn the typical visual patterns of the reference table representing a specific situation in advance, or if management experience accumulates, naturally learn what each unique visual three-dimensional pattern means.

[0213] In addition, in the prior art, a method of comparing currently measured information with specific reference value information is used, and therefore, appropriate reference value information needs to be set in advance. However, in the present invention, the currently measured information and the information measured in the past are compared with each other, so that not only does it not need to set reference value information separately, but also the situation of the space can be grasped more accurately than when the reference value information is set.

[0214] On the other hand, the measured value information is information measured each time the received sound signal is sampled, or the information is stored in the form of a frequency response curve at a specific time interval, so the amount of data that needs to be stored is huge. However, the comparative value information that compares the measured value information with each other has a significantly smaller amount of data than the measured value information. Therefore, in the present invention, by storing the comparative value information, the amount of stored data is epoch-makingly reduced, and as a result, long-term storage is possible.

[0215] In addition, in the present invention, by adding comparison value reliability evaluation information to each comparison value information in the multidimensional data table of comparison value information, the reliability of situation judgment can be ensured. Fig. 22 A flow chart showing yet another embodiment of a database building process for a spatial monitoring method according to the present invention.

[0216] The information generating means 100 may evaluate the reliability of the measurement value information at a specific time point or a specific time period to obtain the measurement value reliability evaluation information ( S510 ).

[0217] In addition, the information generating means 100 may extract the measurement value reliability evaluation information related to the measurement value information while extracting the stored measurement value information at different time points or different time intervals (S520).

[0218] The information generating component 100 can generate comparison value information by comparing the measurement value information at a specific time point with the measurement value information at a different time point or the measurement value information at a specific time interval with the measurement value information at a different time interval, and can also evaluate the reliability of the comparison value information based on the measurement value reliability evaluation information about the measurement value information at the specific time point or the specific time interval and the measurement value reliability evaluation information about the measurement value information at different time points or at different time intervals (S530), thereby generating comparison value reliability evaluation information (S540).

[0219] As an example, the measurement value reliability evaluation information about the measurement value information at a specific time point or a specific time interval can be compared with the measurement value reliability evaluation information about the measurement value information at different time points or different time intervals, and the lowest value in each measurement value reliability evaluation information or the product value of each measurement value reliability evaluation information can be determined as the reliability evaluation information of the corresponding comparison value information.

[0220] In addition, the database construction means 200 may reflect the comparative value reliability evaluation information in the multidimensional data table regarding the comparative value information to generate a higher-dimensional multidimensional data table ( S550 ), and store the multidimensional data table.

[0221] The database construction component 200 can also immediately reflect the comparison value reliability evaluation information about new comparison value information and update the multidimensional data table when new comparison value information is obtained over time, or it can repeatedly execute the generation process of comparison value information and comparison value reliability evaluation information to construct a database and then extract the comparison value information and comparison value reliability evaluation information to generate a multidimensional data table.

[0222] Here, the database construction component 200 can also generate a numerical multidimensional data table with the data values ​​of the comparison value information and the comparison value reliability evaluation information, or can also generate a visual multidimensional data table by expressing the data values ​​of the comparison value information and the comparison value reliability evaluation information with various elements such as brightness, color, size, height, etc.

[0223] Through the above process, the database construction component 200 can construct a database (S560).

[0224] Fig.23 as well as Fig.24 An example of visually expressing a multidimensional data table generated by reflecting the comparative value reliability evaluation information in the database construction process of the space monitoring method according to the present invention is shown.

[0225] Fig.23 It was explained earlier Fig.16 The multidimensional data table of the comparative value information reflects the comparative value reliability evaluation information. That is, the reliability evaluation is performed on each comparative value information, and the comparative value reliability evaluation information is reflected in the comparative value information to generate a higher dimensional data table.

[0226] For example, when the reliability evaluation of the measurement value information at the point where the a value is 48 and the point where the a value is 51 is significantly low, even if the reliability evaluation of the measurement value information at a different time point or a different time interval compared to this is high, the reliability evaluation of the comparison value information comparing the two measurement value information is also evaluated to be significantly low.

[0227] By reflecting such comparative value reliability evaluation information regarding comparative value information in various elements such as color and brightness, a multidimensional data table having a higher dimension than the multidimensional data table regarding comparative value information can be visually expressed.

[0228] In the Fig.23 In this case, the comparative value information region with significantly low reliability evaluation is indicated as a dark shade on the data table 710, so that anyone can easily identify the comparative value region 711 with low reliability.

[0229] Depending on the situation, by individually reflecting the reliability evaluation factors regarding the measurement values ​​described above, the dimensionality of the multidimensional data table regarding the comparison value information can be further increased according to the number of reflected reliability evaluation factors.

[0230] Said Fig.24 In the above description Fig.18 The multidimensional data table about the comparison value information reflects the situation by representing the comparison value reliability evaluation information in terms of brightness and darkness.

[0231] In the Fig.18It is described in the figure that there is a change pattern of a height change area 631b in a certain manner compared with the normal state in the multidimensional data table 630b about the comparison value information. In this case, it can be determined that, for example, an intruder enters and immediately leaves again.

[0232] In the Fig.24 In case (a), there is a data table 720 with the same Fig.18 The same height variation pattern area 721. However, there is no area represented by a dark color in the data table, so it can be determined that the data table can be quite reliable. Due to this, it can be determined that the situation is, for example, a situation where an intruder enters and then immediately goes out again.

[0233] However, in the Fig.24 In the case of (b), there is a data table 730 with Fig.18 The same height change pattern area 731, but the comparison value reliability evaluation information of the change pattern area 731 is shown with a darker shade, so it can be known that the reliability of the comparison value information about this part is low. That is, in this case, it is impossible to hastily judge that the intruder entered and immediately went out again.

[0234] On the contrary Fig.23 In the case of Fig.16 The same, but there is a dark interval where the comparison value information cannot be trusted. Because of this, in this case, it is impossible to hastily judge that there is no change in the monitored object space. In other words, as Fig.24 As in (a), perhaps Fig.23 This also makes it impossible to rule out the possibility that the intruder entered and immediately left again.

[0235] Fig.25 A flow chart of an embodiment of a process for determining a spatial situation according to the present invention is shown.

[0236] The space situation determination component 300 can analyze the multidimensional data table (S610) and determine whether various events such as invasion and fire in the monitored space have occurred (S630). When such an event occurs, the state information about the critical situation of the target space can be provided to the administrator, user, police, fire department, security guard company, etc. (S650). Furthermore, the space situation determination component 300 can provide the multidimensional data table together with the state information about the space situation (S650) provided to the user or administrator, etc.

[0237] As an example, when the database construction component 200 stores a multidimensional data table of values, the space situation judgment component 300 can analyze the data values ​​of the multidimensional data table to determine the occurrence of an event, and after converting the multidimensional data table of values ​​into a visual multidimensional data table by expressing various elements such as brightness, color, size, height, etc., it provides status information of the multidimensional data table including the visual one.

[0238] As an example, when the database construction component 200 stores a visual multidimensional data table, the space situation judgment component 300 can also analyze the change pattern of the appearance or color of the multidimensional data table to judge the occurrence of an event situation and provide status information including the visual multidimensional data table.

[0239] Furthermore, the space situation determination component 300 may also provide a multidimensional data table visually representing a reference situation corresponding to each situation together with the multidimensional data table visually representing the current situation.

[0240] As described above, in the present invention, a multidimensional data table regarding comparative value information is generated and provided in a visual form, so that even non-experienced experts can easily and quickly complete the situation judgment of the object space.

[0241] On the other hand, the comparative value information has a smaller amount of data than the measured value information, but includes relatively less information, so when the comparative value information is used alone to judge the situation of the object space, its reliability is not guaranteed. However, in the present invention, the comparative value reliability evaluation information is matched and stored together with the comparative value information, so the reliability of the situation judgment result can be ensured while reducing the amount of stored data.

[0242] The above description is only an exemplary description of the technical concept of the present invention. If a person has common knowledge in the technical field to which the present invention belongs, various modifications and changes will be possible without departing from the essential features of the present invention. Therefore, the embodiments recorded in the present invention are not used to limit the technical concept of the present invention, but to illustrate the technical concept of the present invention, and the technical concept of the present invention is not limited by such embodiments. The protection scope of the present invention should be interpreted by the following claims, and all technical concepts within the scope equivalent thereto should be interpreted as included in the scope of rights of the present invention.

Claims

1. A spatial monitoring method, characterized in that: include: A measurement value information generating step of generating measurement value information related to a frequency response of a space measured at a specific time point or a specific time interval; as well as a measurement value information storage step of matching the specific time point or the specific time interval with the measurement value information and storing them in a database, The measurement value information generating step and the measurement value information storing step are repeatedly executed according to the passage of time, thereby constructing a database.

2. The space monitoring method according to claim 1, characterized in that: The space monitoring method further comprises: a step of generating measurement value reliability evaluation information, evaluating the reliability of the measurement value information to generate measurement value reliability evaluation information, The measurement value information storage step stores the measurement value information and the measurement value reliability evaluation information in association with the specific time point or the specific time period.

3. The space monitoring method according to claim 1, characterized in that: The space monitoring method further comprises: a comparative value information generating step of comparing the measurement value information at the specific time point or the specific time interval with the measurement value information at one or more different time points or different time intervals to generate comparative value information; and a comparison value information storage step, matching the specific time point and the different time points for comparison or the specific time interval and the different time intervals for comparison with the comparison value information and storing them in a database, The comparative value information generating step and the comparative value information storing step are repeatedly performed to construct a database.

4. The space monitoring method according to claim 2, characterized in that: The space monitoring method further comprises: A comparative value information generating step of comparing the measurement value information at the specific time point or the specific time interval with the measurement value information at one or more different time points or different time intervals to generate comparative value information; a comparative value reliability evaluation information generating step of generating comparative value reliability evaluation information by evaluating the reliability of the comparative value information based on the measured value reliability evaluation information related to each measured value information corresponding to the comparative value information; and a comparison value information storage step, matching the specific time point and the different time points for comparison or the specific time interval and the different time intervals for comparison with the comparison value information and the comparison value reliability evaluation information and storing them in a database, The comparative value information generating step to the comparative value information storing step are repeatedly performed to construct a database.

5. The space monitoring method according to claim 4, characterized in that: The steps from the measurement value information generating step to the measurement value information storing step and the steps from the comparison value information generating step to the comparison value information storing step are independently and repeatedly executed to construct a database.

6. The space monitoring method according to claim 2, characterized in that: The measurement value reliability evaluation information generating step generates measurement value reliability evaluation information related to the measurement value information by evaluating at least one of noise, measurement stability, spectrum variability, and appropriateness of frequency resolution for the measurement value information.

7. The space monitoring method according to claim 3, characterized in that: The comparison value information storage step generates a multidimensional data table by matching the comparison value information on a coordinate table consisting of the specific time point and the different time points for comparison or the specific time interval and the different time intervals for comparison, and stores the multidimensional data table in a database.

8. The space monitoring method according to claim 3, characterized in that: The space monitoring method further comprises: The multidimensional data table storage step generates a multidimensional data table by matching the plurality of comparison value information stored on a coordinate table consisting of a specific time point and different time points for comparison or a specific time interval and different time intervals for comparison, and stores the multidimensional data table in a database.

9. The space monitoring method according to claim 4, characterized in that: The comparison value information storage step generates a multidimensional data table by matching the comparison value information and the comparison value reliability evaluation information on a coordinate table consisting of the specific time point and the different time points for comparison or the specific time interval and the different time intervals for comparison, and stores the multidimensional data table in a database.

10. The space monitoring method according to claim 4, characterized in that: The space monitoring method further comprises: A multidimensional data table storage step is to generate a multidimensional data table by matching a plurality of the comparison value information and a plurality of the comparison value reliability evaluation information on a coordinate table consisting of a specific time point and different time points for comparison or a specific time interval and different time intervals for comparison, and the multidimensional data table is stored in a database.

11. The space monitoring method according to claim 3, characterized in that: The space monitoring method further comprises: The spatial situation information providing step provides the multidimensional data table generated based on the comparison value information to the user.

12. The space monitoring method according to claim 4, characterized in that: The space monitoring method further comprises: The spatial situation information providing step provides the multidimensional data table generated based on the comparison value information and the comparison value reliability evaluation information to the user.

13. A space monitoring system, characterized in that: include: An information generating component for generating measurement value information related to a frequency response of a space measured at a specific time point or a specific time interval; as well as The database construction means matches the specific time point or specific time interval with the measurement value information and organizes and stores them.

14. The space monitoring system according to claim 13, characterized in that: The information generating means further generates measurement value reliability evaluation information by evaluating the reliability of the measurement value information. The database construction means stores the measurement value information and the measurement value reliability evaluation information by matching a specific time point or a specific time period.

15. The space monitoring system according to claim 13, characterized in that: The information generating means further generates comparative value information by comparing the measurement value information at a specific time point or a specific time interval with the measurement value information at one or more different time points or different time intervals. The database construction component also matches and stores the specific time point and the different time points for comparison or the specific time interval and the different time interval for comparison with the comparison value information.

16. The space monitoring system according to claim 14, characterized in that: The information generating means further generates comparative value information by comparing the measurement value information at a specific time point or a specific time interval with the measurement value information at one or more different time points or different time intervals, and further generates comparative value reliability evaluation information by evaluating the reliability of the comparative value information based on the measurement value reliability evaluation information related to each measurement value information corresponding to the comparative value information, The database construction component also matches and stores the specific time point and the different time points for comparison or the specific time interval and the different time interval for comparison with the comparison value information and the comparison value reliability evaluation information.

17. The space monitoring system according to claim 15, characterized in that: The database construction component generates a multidimensional data table by matching the comparison value information on a coordinate table consisting of the specific time point and the different time points for comparison or the specific time interval and the different time intervals for comparison, and stores the multidimensional data table in a database.

18. The space monitoring system according to claim 16, characterized in that: The database construction component matches the comparison value information and the comparison value reliability evaluation information on a coordinate table consisting of the specific time point and the different time points for comparison or the specific time interval and the different time intervals for comparison to generate a multidimensional data table, and stores the multidimensional data table in a database.

19. The space monitoring system according to claim 15, characterized in that: The space monitoring system also includes: The space situation judgment component provides the multidimensional data table generated based on the comparison value information to the user.

20. The space monitoring system according to claim 16, characterized in that: The space monitoring system also includes: The space situation judgment component provides the user with a multidimensional data table generated based on the comparison value information and the comparison value reliability evaluation information.

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