Sensor monitoring range determination method

Abstract

To provide a sensor monitoring range identification method capable of easily identifying a monitoring range of a sensor on a fire monitoring site without comprising a special configuration required for confirming the monitoring range with respect to the sensor for detecting occurrence of fire.SOLUTION: A sensor monitoring range identification method to be executed by a computer on a fire monitoring site, where a flame sensor for detecting occurrence of fire is installed, includes the steps of: scanning a face surface of the sensor with a laser scanner and calculating a mounting position of the sensor on the fire monitoring site and a direction in which the face surface is directed, on the fire monitoring site; and combining a calculation result in the calculation step with monitoring range data of the sensor acquired beforehand, thereby identifying a real monitoring rage with an installation position of the sensor on the fire monitoring site defined as a reference.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present disclosure relates to a sensor monitoring range specifying method for specifying a monitoring range of a sensor at a fire monitoring site for detecting the occurrence of a fire. [Background technology]

[0002] An example of a sensor used to detect the occurrence of a fire at a fire monitoring site is a flame detector (flame sensor). Such a flame detector is attached to a ceiling, a wall, an outdoor support, etc., and serves to detect whether or not a fire has occurred within a predetermined desired monitoring range.

[0003] When the detection performance of such sensors needs to be verified at the time of installation, periodic inspection, etc., it is important to determine whether the actual monitoring range of the sensor correctly covers the desired monitoring range. As an example, the following is a conventional technique for visually checking the monitoring range of a flame detector (see, for example, Patent Document 1).

[0004] In Patent Document 1, a light source that irradiates light perpendicular to the front of the flame detector is fixed inside a main body case that fits over the flame detector or its mounting base. Meanwhile, a spectroscopic means is disposed in front of the direction of irradiation of the light from the light source, inclined at a predetermined angle to match the monitoring range of the flame detector. By rotating the spectroscopic means, the light from the light source is split into light that is transmitted and irradiates the center of the monitoring range, and light that is reflected and irradiates the monitoring range.

[0005] By adopting such a configuration, Patent Document 1 enables the flame detector to be installed, and by turning on the light source and rotating the spectroscopic means, the monitoring range of the flame detector and its center can be visually confirmed simultaneously without the need for complicated operations. [Prior art documents] [Patent documents]

[0006] [Patent Document 1] Japanese Patent Application Laid-Open No. 2006-65441 Summary of the Invention [Problem to be solved by the invention]

[0007] However, the conventional techniques have the following problems. In the conventional technology disclosed in Patent Document 1, in order to check the monitoring range, it is necessary to provide a light source and a spectroscopic means in the flame detector itself in advance, which increases the production cost.

[0008] Furthermore, when the monitoring range of a flame detector installed outdoors is a relatively wide area, it is difficult to visually confirm the monitoring range using the device disclosed in Patent Document 1 due to the outdoor installation environment, weather conditions, etc.

[0009] Furthermore, if the mechanical position of the spectroscopic means is misaligned, the monitoring range cannot be accurately confirmed, and the mechanical position adjustment of the spectroscopic means is necessary. However, when considering cases where the flame detector is installed at a high place, it is very difficult to perform the mechanical position adjustment of the spectroscopic means while working at a high place.

[0010] Therefore, there has been a demand for a method for easily specifying the monitoring range of a sensor to be installed at a fire monitoring site without providing the sensor with a special configuration required to confirm the monitoring range. Furthermore, if the monitoring range of a sensor to be installed at a fire monitoring site can be specified before the sensor is actually installed, it will also be possible to verify the validity of the design values ​​for the sensor installation location.

[0011] The present disclosure has been made to solve the above-mentioned problems, and aims to provide a sensor monitoring range determination method that can easily determine the monitoring range of a sensor at a fire monitoring site without requiring the sensor to have a special configuration that is essential for confirming the monitoring range for detecting the occurrence of a fire. [Means for solving the problem]

[0012] The sensor monitoring range determination method of the present disclosure is a computer-executed sensor monitoring range determination method, which includes the steps of: scanning the face of a sensor with a laser scanner at a fire monitoring site where a sensor for detecting the occurrence of a fire is installed; calculating the installation position of the sensor at the fire monitoring site and the direction in which the face is facing at the fire monitoring site; and combining the calculation result from the calculation step with previously obtained sensor monitoring range data to determine the actual monitoring range based on the installation position of the sensor at the fire monitoring site. In addition, the sensor monitoring range identification method according to the present disclosure is a computer-executed sensor monitoring range identification method, which includes the steps of: scanning the fire monitoring site with a laser scanner at a fire monitoring site where a sensor for detecting the occurrence of a fire is installed before the sensor is installed, and acquiring point cloud data indicating coordinate values ​​corresponding to the distance to a laser-reflecting object present at the fire monitoring site measured by the laser scanner; identifying a monitored object within the fire monitoring site from the point cloud data acquired in the acquiring step; calculating a designed monitoring range from the sensor monitoring range data acquired in advance and design values ​​related to the sensor installation location; and determining whether the monitored object within the fire monitoring site identified in the identifying step can be covered by the designed monitoring range calculated in the calculating step, and if it is determined that the monitored object can be covered, determining that the design value is appropriate. [Effects of the Invention]

[0013] According to the present disclosure, a sensor monitoring range determination method can be obtained that can easily determine the monitoring range of a sensor at a fire monitoring site without requiring a special configuration that is essential for confirming the monitoring range of the sensor for detecting the occurrence of a fire. [Brief explanation of the drawings]

[0014] [Figure 1]1 is an explanatory diagram illustrating an example of a system configuration for implementing a sensor monitoring range specifying method according to a first embodiment of the present disclosure. [Figure 2] 1 is a flowchart showing a series of processes of a sensor monitoring range specifying method executed by a computer according to the first embodiment of the present disclosure. [Figure 3] 4 is an explanatory diagram specifically showing the processing contents of steps S201 to S203 among a series of processes in the sensor monitoring range specifying method according to the first embodiment of the present disclosure. FIG. [Figure 4] 10 is an explanatory diagram specifically showing the processing contents of steps S204 to S205 among a series of processes in the sensor monitoring range specifying method according to the first embodiment of the present disclosure. FIG. [Figure 5] FIG. 2 is a diagram showing a laser scanner target used to improve the position detection accuracy of the flame sensor in the first embodiment of the present disclosure. [Figure 6] 10 is a flowchart illustrating a series of processes of a sensor monitoring range specifying method executed by a computer according to a second embodiment of the present disclosure. [Figure 7] 11 is a flowchart showing a series of processes of a sensor monitoring range specifying method executed by a computer according to a third embodiment of the present disclosure. [Figure 8] 1 is a configuration diagram illustrating a configuration in which the functions of a data acquisition unit, an arithmetic processing unit, and a specification value storage unit according to first and second embodiments of the present disclosure are realized by a processing circuit that is dedicated hardware. [Figure 9] 1 is a configuration diagram illustrating a configuration in which the functions of a data acquisition unit, an arithmetic processing unit, and a specification value storage unit according to first and second embodiments of the present disclosure are realized by a processing circuit including a processor and a memory. DETAILED DESCRIPTION OF THE INVENTION

[0015] A preferred embodiment of the present disclosure of a method for identifying a sensor monitoring range is described below with reference to the accompanying drawings. The present disclosure has a technical feature in that the mounting position of a sensor at a fire monitoring site and the direction in which the sensor face is facing at the fire monitoring site can be calculated based on information obtained by scanning the sensor face with a laser scanner.

[0016] Embodiment 1 1 is an explanatory diagram showing an example of a system configuration for implementing a sensor monitoring range identification method according to a first embodiment of the present disclosure. In the following, a flame sensor 10 is used as a sensor for detecting the occurrence of a fire, and a specific example will be described in which the flame sensor 10 is installed on an outdoor support pole 1.

[0017] The flame sensor 10 installed on the support 1 has a face surface 11. The flame sensor 10 detects whether or not a fire has occurred within an area defined by a monitoring range A, with an optical axis L perpendicular to the face surface 11 as its center.

[0018] In order to easily identify the monitoring range A of the flame sensor 10 from the ground at the time of installation, periodic inspection, etc., the present disclosure uses a laser scanner 20 and a computer 30. The laser scanner 20 has a function of outputting coordinate values ​​corresponding to the distance to a laser-reflecting object as point cloud data.

[0019] The computer 30 also has a function of specifying the actual monitoring range based on the installation position of the flame sensor 10 at the fire monitoring site, based on the point cloud data output from the laser scanner 20. The computer 30 shown in FIG. 1 is configured with a data acquisition unit 31, a calculation processing unit 32, and a specification value storage unit 33.

[0020] Next, the preliminary work by the worker and the series of processes by the computer 30 in the sensor monitoring range specifying method according to the first embodiment will be described in detail.

[0021] During installation, regular inspection, etc., as a preliminary step, an operator uses a laser scanner 20 to scan laser light in a direction including the face surface 11 of the flame sensor 10 installed on-site, thereby measuring the distance to the laser-reflecting object.

[0022] As a result, the computer 30 executes a series of processes for specifying the sensor monitoring range based on the measurement results of the laser scanner 20. Fig. 2 is a flowchart showing a series of processes of the sensor monitoring range specifying method executed by the computer 30 according to the first embodiment of the present disclosure.

[0023] In step S201, the data acquisition unit 31 acquires point cloud data indicating coordinate values ​​corresponding to the distance to the laser reflecting object measured by the laser scanner 20. That is, the data acquisition unit 31 acquires point cloud data including the distance to the face surface 11.

[0024] Next, in step S202, the calculation processing unit 32 identifies the position of the flame sensor 10 from the point cloud data acquired in step S201, and extracts first point cloud data from the point cloud data, which indicates coordinate values ​​corresponding to the distance from the laser scanner 20 to the face surface 11 of the sensor 10.

[0025] Next, in step S203, the calculation processing unit 32 calculates the position and inclination of the face surface 11 of the flame sensor 10 from the first point cloud data. Then, the calculation processing unit 32 determines the calculated position of the face surface 11 as the installation position of the flame sensor 10 at the fire monitoring site, and identifies the calculated inclination of the face surface 11 as the direction in which the face surface 11 is facing at the fire monitoring site.

[0026] FIG. 3 is an explanatory diagram specifically showing the processing contents of steps S201 to S203 among a series of processes of the sensor monitoring range specifying method according to the first embodiment of the present disclosure.

[0027] (a) shown in the upper part of Figure 3 is an explanatory diagram showing the state in which, as a preliminary step performed by an operator, a laser scanner 20 is used to scan laser light in a direction including the face surface 11 of the flame sensor 10 installed at the site.

[0028] 3(b) shown on the lower right side is an enlarged view of the flame sensor 10 installed at the site and the face surface 11. Also, (c) shown on the lower left side of Fig. 3 is an explanatory diagram showing first point cloud data indicating coordinate values ​​corresponding to the distance from the laser scanner 20 to the face surface 11, the position of the face surface 11 calculated based on the first point cloud data, and the depression angle corresponding to the inclination.

[0029] Next, in step S204, the calculation processing unit 32 acquires previously acquired monitoring range data of the flame sensor 10, which is stored in the specification value storage unit 33. Here, the previously acquired monitoring range data of the flame sensor 10 corresponds to data that quantitatively indicates the range that can be monitored, such as the angle and distance from the face surface 11 of the flame sensor 10.

[0030] Next, in step S205, the calculation processing unit 32 combines the mounting position and direction of the face surface 11 of the flame sensor 10 identified in step S203, the monitoring range data of the flame sensor 10 acquired in step S204, and the data of the fire monitoring site, to identify the actual monitoring range of the monitored object based on the installation position of the flame sensor 10 installed at the fire monitoring site.

[0031] Here, the fire monitoring site data corresponds to site data that can identify the layout of buildings and the like that are actually monitored at the fire monitoring site, for example, using the support pillar 1 as a reference. Such fire monitoring site data can be acquired in advance based on site drawings such as construction drawings. The fire monitoring site data acquired in advance can be stored in the specification value storage unit 33 together with the monitoring range data of the flame sensor 10 acquired in advance.

[0032] Therefore, by performing the combination process in step S205, the calculation processing unit 32 can identify the actual monitoring range for the monitoring target and can confirm whether the monitoring target is included in the actual monitoring range. In other words, by taking into account the data of the fire monitoring site, the calculation processing unit 32 can identify the position of the monitoring target within the actual monitoring range.

[0033] Even if the data from the fire monitoring site is not taken into consideration, the calculation processing unit 32 can determine the actual monitoring range based on the installation position of the flame sensor 10 installed at the fire monitoring site by combining the mounting position and direction of the face surface 11 of the flame sensor 10 identified in step S203 with the monitoring range data of the flame sensor 10 acquired in step S204.

[0034] 4 is an explanatory diagram specifically illustrating the processing contents of steps S204 to S205 of the series of processes in the sensor monitoring range identification method according to the first embodiment of the present disclosure. Note that Fig. 4 illustrates an example of the positional relationship between the actual monitoring range A of the flame sensor 10 and the monitoring target B when the monitoring target is a shrine.

[0035] 4(a) is an explanatory diagram showing the actual monitoring range A of the flame sensor 10 for the monitoring target B at the fire monitoring site, as specified by the arithmetic processing unit 32, as a positional relationship between the flame sensor 10 and the ground surface. Also, FIG. 4(b) is an explanatory diagram showing the actual monitoring range A of the flame sensor 10 for the monitoring target B at the fire monitoring site, as specified by the arithmetic processing unit 32, as expanded onto the ground surface.

[0036] 4(a) and 4(b) by combining the calculation results of step S203 regarding the mounting position of the flame sensor 10 and the inclination of the face surface 11, the acquisition results of the monitoring range data of the flame sensor 10 in step S204, and the data of the fire monitoring site stored in the specification value storage unit 33. In other words, the calculation processing unit 32 can calculate the actual monitoring range of the monitoring target using the installation position of the flame sensor 10 at the fire monitoring site as a reference point.

[0037] Note that the detection accuracy of the position of the flame sensor 10 identified in step S202 described above can be improved by providing a laser scanner target at a predetermined position on the flame sensor 10. Fig. 5 is a diagram showing a laser scanner target used to improve the position detection accuracy of the flame sensor 10 in the first embodiment of the present disclosure.

[0038] By installing the laser scanner target 12 shown in Figure 5 on the flame sensor 10, the point cloud data output by the laser scanner 20 will include data corresponding to the black and white pattern of the laser scanner target 12.

[0039] Therefore, the calculation processing unit 32 can extract, with high accuracy, from the point cloud data acquired in step S201, first point cloud data indicating coordinate values ​​corresponding to the distance to the face surface 11 of the flame sensor 10 based on data corresponding to the black and white pattern of the laser scanner target 12.

[0040] As a result, it is possible to improve the accuracy in identifying the mounting position of the flame sensor 10 and the direction of the face surface 11, and it is also possible to improve the accuracy in identifying the actual monitoring range.

[0041] As described above, according to embodiment 1, the system is configured to be able to calculate the installation position of the sensor at the fire monitoring site and the direction in which the face surface is facing at the fire monitoring site based on information obtained by scanning the face surface of the sensor using a laser scanner.

[0042] As a result, a sensor monitoring range determination method can be obtained that can easily determine the actual sensor monitoring range of a sensor installed at a fire monitoring site through computer processing based on the measurement results from the laser scanner, without the flame sensor itself having any special configuration required to confirm the monitoring range.

[0043] In addition, by attaching a laser scanner target to the flame sensor as an option, the position of the flame sensor can be detected with high accuracy, and ultimately the actual monitoring range of the flame sensor installed at the fire monitoring site can be determined with higher accuracy. Furthermore, by taking into account the data from the fire monitoring site, the position of the monitoring target within the actual monitoring range can be determined.

[0044] Embodiment 2 In the previous embodiment 1, we explained a case in which, in the calculation processing of step S205, the actual monitoring range of the monitored object is determined based on the installation position of the flame sensor 10 installed at the fire monitoring site by combining the installation position and direction of the face surface 11 of the flame sensor 10 determined in step S203, the monitoring range data of the flame sensor 10 acquired in step S204, and data from the fire monitoring site.

[0045] In contrast, in this embodiment 2, we will explain a case where the actual monitoring range for the monitored object is determined using the measurement results regarding the distance to laser-reflecting objects other than the flame sensor 10 present at the fire monitoring site, output from the laser scanner 20, without obtaining data from the fire monitoring site in advance.

[0046] FIG. 6 is a flowchart showing a series of processes of a sensor monitoring range specifying method executed by the computer 30 according to the second embodiment of the present disclosure.

[0047] Comparing the steps shown in FIG. 6 in the second embodiment with the steps shown in FIG. 2 in the first embodiment, the second embodiment differs in that step S201a is executed instead of step S201, step S202a is executed instead of step S202, and step S205a is executed instead of step S205.

[0048] Therefore, a series of processes of the sensor monitoring range specifying method according to the second embodiment will be described, focusing on steps S201a, S202a, and S205a, which are different from the first embodiment.

[0049] In the second embodiment, the laser scanner 20 also scans laser-reflecting objects other than the flame sensor 10, and thereby outputs, as point cloud data, coordinate values ​​corresponding to the distances to the laser-reflecting objects other than the flame sensor 10. In other words, by scanning laser-reflecting objects other than the flame sensor 10, the laser scanner 20 can identify, as coordinate values, the positions of buildings and other objects that are actually the targets of monitoring at a fire monitoring site.

[0050] The state in which the laser scanner 20 scans laser reflecting objects other than the flame sensor 10 corresponds to the state shown in FIG. 3(a).

[0051] Therefore, in step S201a, the data acquisition unit 31 acquires point cloud data indicating coordinate values ​​corresponding to the distance to the laser-reflecting object measured by the laser scanner 20. That is, the data acquisition unit 31 acquires point cloud data including the distance to the face surface 11 and the distance to the laser-reflecting object other than the flame sensor 10.

[0052] Next, in step S202a, the calculation processing unit 32 identifies the position of the flame sensor 10 from the point cloud data acquired in step S201, and extracts first point cloud data from the point cloud data, which indicates coordinate values ​​corresponding to the distance from the laser scanner 20 to the face surface 11 of the sensor 10.

[0053] Furthermore, in this embodiment 2, in step S202a, the calculation processing unit 32 identifies the position of a laser-reflecting object other than the flame sensor 10 from the point cloud data acquired in step S201, and extracts second point cloud data from the point cloud data indicating coordinate values ​​corresponding to the distance from the laser scanner 20 to the laser-reflecting object other than the flame sensor 10.

[0054] Next, the calculation processing unit 32 executes the processes of steps S203 and S204. The processes of steps S203 and S204 are the same as those in the first embodiment, and therefore, the description thereof will be omitted.

[0055] Next, in step S205a, the calculation processing unit 32 combines the mounting position and direction of the face surface 11 of the flame sensor 10 identified in step S203, the monitoring range data of the flame sensor 10 acquired in step S204, and the second point cloud data extracted in step S202a to identify the actual monitoring range of the monitored object based on the installation position of the flame sensor 10 installed at the fire monitoring site.

[0056] In the second embodiment, by further considering the second point cloud data, for example, buildings, trees, etc. present at the fire monitoring site can be detected as laser-reflecting objects other than the flame sensor 10. In other words, the laser-reflecting objects 2 other than the flame sensor 10 include buildings and the like that are actually the monitoring targets at the fire monitoring site. As a result, the actual monitoring range for the monitoring target can be specified in accordance with the current situation at the fire monitoring site, taking into account laser-reflecting objects other than the flame sensor 10.

[0057] Furthermore, if there is, for example, a tree within the monitoring area, the flame sensor 10 will not be able to monitor the part blocked by the tree. Therefore, by specifying the actual monitoring range for the monitoring object while taking into consideration laser-reflecting objects other than the flame sensor 10, it is also possible to identify areas that cannot be monitored due to laser-reflecting objects other than the flame sensor 10.

[0058] As described above, according to embodiment 2, by using the measurement results regarding the distance to laser-reflecting objects other than the flame sensor present at the fire monitoring site, output from the laser scanner, without obtaining data from the fire monitoring site in advance, it is possible to identify the actual monitoring range of the monitoring target, taking into account the buildings, etc. that are actually the monitoring target, and trees, etc. that obstruct monitoring.

[0059] As a result, according to embodiment 2, in addition to the effects of embodiment 1, a sensor monitoring range determination method can be obtained that can easily determine the actual monitoring range of the monitored object in accordance with the current situation at the fire monitoring site, taking into account laser-reflecting objects other than the flame sensor.

[0060] In the above-described first and second embodiments, a specific example has been described in which one flame sensor 10 is used. However, when monitoring a building as a monitoring target, for example, monitoring from only one direction using one flame sensor may result in a blind spot on the back side of the building, resulting in areas that cannot be monitored. Therefore, in order to eliminate blind spots, it is conceivable to use multiple flame sensors to monitor from multiple directions.

[0061] The method for determining the sensor monitoring range of the present disclosure can also be applied when multiple flame sensors are used. As a result, by combining the monitoring areas from multiple directions determined from the measurement results of the laser scanner, the monitoring situation of the entire fire monitoring site can be accurately determined.

[0062] In particular, according to the second embodiment, it is possible to quantitatively confirm whether monitoring from multiple directions is possible without creating blind spots, taking into consideration the actual buildings, etc. to be monitored, and trees, etc. that obstruct monitoring, in accordance with the current situation at the fire monitoring site.

[0063] In the second embodiment, a building or the like is the object of monitoring outdoors, but the present disclosure can also be applied to cases where the flame sensor and the object of monitoring are indoors. In this case, the flame sensor is installed on the ceiling, wall, pillar, etc. indoors, and the object of monitoring is the inside of the building, and the interior decoration, installed objects, etc. are monitored.

[0064] In this case, the rear of pillars, installed objects, etc., are blind spots when viewed from the flame sensor. Therefore, as in the case of outdoors described in embodiment 2, blind spots can be eliminated by using multiple flame sensors to monitor from multiple directions.

[0065] Embodiment 3 In this third embodiment, a method is described for verifying an appropriate installation location for the flame sensor 10 based on point cloud data and monitoring range data of the flame sensor 10 prior to actually installing the flame sensor 10 at a fire monitoring site.

[0066] If the point cloud data collected using the laser scanner 20 at the fire monitoring site before the installation of the flame sensor 10 and the fire extent data of the flame sensor 10 are known, it is possible to verify in advance the validity of the design values ​​related to the installation location of the flame sensor 10. Here, the "installation location" includes the installation height of the flame sensor 10 and the direction in which the face surface 11 of the flame sensor 10 is facing.

[0067] The procedure for such advance verification will be explained in detail using a flowchart. In the following explanation, an example will be given in which the design values ​​for the installation location of the flame sensor 10 are the installation height of the flame sensor 10 and the direction in which the face surface 11 of the flame sensor 10 faces.

[0068] 7 is a flowchart showing a series of processes of a sensor monitoring range specifying method executed by a computer 30 according to the third embodiment of the present disclosure. By executing the sensor monitoring range specifying method shown in FIG. 7, the validity of the design values ​​related to the installation location of the flame sensor 10 can be verified in advance.

[0069] First, in step S701, the data acquisition unit 31 acquires point cloud data indicating coordinate values ​​corresponding to the distance to a laser-reflecting object measured by the laser scanner 20 at a fire monitoring site before the flame sensor 10 for detecting the occurrence of a fire is installed.

[0070] Next, in step S702, the calculation processing unit 32 acquires the monitoring range data of the flame sensor 10 that is stored in the specification value storage unit 33 and that has been acquired in advance.

[0071] Next, in step S703, the calculation processing unit 32 identifies a monitoring target within the fire monitoring site from the point cloud data acquired in step S701. Note that an operator may intervene in identifying the monitoring target.

[0072] Next, in step S704, the calculation processing unit 32 calculates the design monitoring range from the monitoring range data of the flame sensor 10 acquired in the previous step S702 and the design values ​​related to the installation height of the flame sensor 10 and the direction in which the face surface is facing.

[0073] Next, in step S705, the calculation processing unit 32 determines whether the object to be monitored identified in the previous step S703 is covered by the design monitoring range calculated in the previous step S704, and if it determines that the object is covered, it determines that the current design value is appropriate.

[0074] 7, if the calculation processing unit 32 determines in step S705 that the target value is not covered, it executes the processes of steps S704 and S705 again using the new corrected design value, and repeats the correction of the design value and the processes of steps S704 and S705 until it determines that the target value is covered, thereby finally finding an appropriate design value. Note that an operator may intervene in correcting the design value.

[0075] Furthermore, the calculation processing unit 32 successively updates the original design values ​​by a predetermined amount of change and repeats the processes of steps S704 and S705, thereby identifying an appropriate range of design values ​​for the installation location of the flame sensor that can cover the object to be monitored. That is, by repeating the pre-verification while changing the design values ​​for the installation height of the flame sensor 10 and the direction in which the face surface 11 of the flame sensor 10 faces, it is possible to identify an appropriate range of design values.

[0076] As described above, according to embodiment 3, when the point cloud data collected using a laser scanner at the fire monitoring site before the installation of the flame sensor and the fire extent data of the flame sensor are known, it is possible to pre-verify the validity of the design values ​​for the installation location of the flame sensor.

[0077] In the above-mentioned embodiments 1 to 3, the cases where the functions of the data acquisition unit 31, the calculation processing unit 32, and the specification value storage unit 33 are executed by the computer 30 have been described, but the specific configuration for implementing each function will be further explained below.

[0078] Each function executed by the data acquisition unit 31, the calculation processing unit 32, and the specification value storage unit 33 can be realized by a processing circuit. The processing circuit that realizes each function may be dedicated hardware, or may be a processor that executes a program stored in a memory.

[0079] Fig. 8 is a diagram illustrating a configuration 30a in which the functions of the data acquisition unit 31, the arithmetic processing unit 32, and the specification value storage unit 33 according to the first to third embodiments of the present disclosure are realized by a processing circuit 1000 that is dedicated hardware. Fig. 9 is a diagram illustrating a configuration 30b in which the functions of the data acquisition unit 31, the arithmetic processing unit 32, and the specification value storage unit 33 according to the first to third embodiments of the present disclosure are realized by a processing circuit 2000 that includes a processor 2001 and a memory 2002.

[0080] In other words, the functions of the data acquisition unit 31, the calculation processing unit 32, and the specification value storage unit 33 according to embodiments 1 to 3 of the present disclosure are embodied by the configuration 30a shown in FIG. 8 or the configuration 30b shown in FIG. 9.

[0081] When the processing circuit is dedicated hardware, the processing circuit 1000 may be, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or a combination thereof.

[0082] The functions of the data acquisition unit 31, the calculation processing unit 32, and the specification value storage unit 33 may each be realized by a separate processing circuit 1000, or the functions of each unit may be realized together by a single processing circuit 1000.

[0083] On the other hand, when the processing circuit is the processor 2001, the functions of the data acquisition unit 31, the calculation processing unit 32, and the specification value storage unit 33 are realized by software, firmware, or a combination of software and firmware. The software and firmware are written as programs and stored in the memory 2002.

[0084] The processor 2001 realizes the functions of each unit by reading and executing the programs stored in the memory 2002. That is, when the functions of the data acquisition unit 31, the calculation processing unit 32, and the specification value storage unit 33 are executed by the processing circuit 2000, the programs that result in the execution of each step in the sensor monitoring range identification method of the present disclosure are stored in the memory 2002.

[0085] These programs can also be said to be programs for causing the computer 30 described in this disclosure to execute the procedures or methods of the data acquisition unit 31, the calculation processing unit 32, and the specification value storage unit 33.

[0086] Here, the memory 2002 corresponds to, for example, non-volatile or volatile semiconductor memory such as RAM (Random Access Memory), ROM (Read Only Memory), flash memory, EPROM (Erasable Programmable Read Only Memory), EEPROM (Electrically Erasable and Programmable Read Only Memory), etc. In addition, the memory 2002 also corresponds to magnetic disks, flexible disks, optical disks, compact disks, mini disks, DVDs, etc.

[0087] It should be noted that the functions of the data acquisition unit 31, the calculation processing unit 32, and the specification value storage unit 33 described above may be partially realized by dedicated hardware and partially realized by software or firmware.

[0088] In this way, the processing circuit can realize the functions of the data acquisition unit 31, the arithmetic processing unit 32, and the specification value storage unit 33 by using hardware, software, firmware, or a combination of these. [Explanation of symbols]

[0089] 10 flame sensor (sensor), 11 face surface, 12 laser scanner target, 20 laser scanner, 30 computer, 31 data acquisition unit, 32 calculation processing unit, 33 specification value storage unit, 1000, 2000 processing circuit, 2001 processor, 2002 memory.

Claims

1. 1. A computer-implemented method for determining a sensor monitoring range, comprising: a step of scanning a face of a sensor installed at a fire monitoring site using a laser scanner to detect the occurrence of a fire, and calculating an installation position of the sensor at the fire monitoring site and a direction in which the face is facing at the fire monitoring site; a step of specifying an actual monitoring range based on the installation position of the sensor at the fire monitoring site by combining the calculation result obtained in the calculating step with monitoring range data of the sensor acquired in advance; A sensor monitoring range determination method comprising:

2. The calculating step a first step of acquiring point cloud data indicating coordinate values ​​corresponding to distances to laser-reflecting objects present at the fire monitoring site measured by the laser scanner at the fire monitoring site; a second step of identifying a position of the sensor from the acquired point cloud data, extracting first point cloud data indicating coordinate values ​​corresponding to a distance from the laser scanner to a face surface of the sensor from the point cloud data, calculating a position and tilt of the face surface of the sensor from the first point cloud data, and determining the position of the face surface as an attachment position of the sensor at the fire monitoring site and the tilt of the face surface as the direction in which the face surface is facing at the fire monitoring site; The method for specifying a sensor monitoring range according to claim 1 , further comprising:

3. The step of specifying includes acquiring in advance on-site data capable of specifying the actual placement of the monitoring target at the fire monitoring site, and calculating an actual monitoring range for the monitoring target, with the installation position of the sensor at the fire monitoring site as a reference point, based on the position and the inclination calculated for the face surface, the monitoring range data of the sensor acquired in advance, and the on-site data acquired in advance. The method for specifying a sensor monitoring range according to claim 2 .

4. The step of specifying includes extracting, from the point cloud data, second point cloud data indicating coordinate values ​​corresponding to the distance from the laser scanner to a laser-reflecting object other than the sensor that is present at the fire monitoring site, and calculating an actual monitoring range for the monitoring object, with the installation position of the sensor at the fire monitoring site as a reference point, based on the position and the tilt calculated for the face, the monitoring range data of the sensor acquired in advance, and the second point cloud data. The method for specifying a sensor monitoring range according to claim 2 .

5. The sensor has a laser scanner target pre-installed thereon; In the second step, the computer identifies the position of the sensor by extracting the position of the laser scanner target from the acquired point cloud data. The method for specifying a sensor monitoring range according to any one of claims 2 to 4.

6. 1. A computer-implemented method for determining a sensor monitoring range, comprising: a step of scanning the fire monitoring site with a laser scanner before installing a sensor for detecting the occurrence of a fire, and acquiring point cloud data indicating coordinate values ​​corresponding to distances to laser-reflecting objects present at the fire monitoring site measured by the laser scanner; a step of identifying a monitoring target within the fire monitoring site from the point cloud data acquired in the acquiring step; calculating a design monitoring range from the previously acquired monitoring range data of the sensor and design values ​​related to the installation location of the sensor; a step of determining whether or not the monitoring object within the fire monitoring site identified in the identifying step is covered by the design monitoring range calculated in the calculating step, and determining that the design value is appropriate when it is determined that the monitoring object is covered; A sensor monitoring range determination method comprising:

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