JP2024012723A - Analysis system, processing device, analysis method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To minimize the influence, even when there are discrepancies in the time among a plurality of devices included in an analysis system, and in some cases where it is not possible to change the output time on certain devices.

SOLUTION: An analysis system comprises an analysis device AN1 and a data collection device LG1. The analysis device AN1 carries out analysis regarding particulate matter PM according to the time output from an internal clock ACLK1. The data collection device LG1 has an internal clock LCLK1 that is independent from the internal clock ACLK1, and determines the timing at which to collect analysis data from the analysis device AN1 on the basis of a deviation obtained from the result of comparing a time stamp including information about the time used by the analysis device AN1 and a time stamp relating to the time output from the internal clock LCLK1.

SELECTED DRAWING: Figure 4

COPYRIGHT: (C)2024,JPO&INPIT

Description

The present invention relates to an analysis system that analyzes particulate matter, a processing device that performs predetermined processing on an analyzer of the analysis system, and a method of analyzing particulate matter using the analysis system.

In recent years, particulate matter in the atmosphere (eg, PM2.5) has become a major environmental problem. In order to suppress the generation of particulate matter, it is important to understand the source of particulate matter, and for this purpose, methods and devices have been developed to estimate the source of particulate matter. There is.
For example, an analysis system is known in which a plurality of analyzers for analyzing particulate matter are placed around a source, and the particulate matter analysis data acquired by each analyzer is sent to a database server (for example, , see Patent Document 1).

International Publication No. 2018/117146

In an analysis system composed of a plurality of devices, each device has its own clock, and determines the timing to execute various processes based on the time output from the clock. If each device has its own clock, there may be a time difference between the multiple devices included in the analysis system.

For example, when executing a process to acquire data obtained at a predetermined time on one device on another device, if there is a time difference between these devices, for example, data at a certain time may be transferred to the other device. The device may not be available.

However, in the case of a specific device included in an analysis system (for example, an analyzer), because it may affect the operation of the specific device, for example, the time used by that device may be changed to the time of other devices. It may not be possible to make changes to match.

The purpose of the present invention is to minimize the effects that may occur due to the possibility of time differences between multiple devices included in an analysis system and the possibility that the time output by a specific device cannot be changed. The goal is to

A plurality of aspects will be described below as means for solving the problem. These aspects can be arbitrarily combined as necessary.
An analysis system according to one aspect of the present invention includes an analysis device and a processing device.
The analyzer performs analysis regarding particulate matter according to the time output from the first clock.
The processing device has a second clock independent of the first clock, and performs analysis based on the discrepancy between the time-related information about the time used by the analysis device and the time-related information about the time output from the second clock. Determine the timing to execute predetermined processing regarding the device.

Since the processing device can determine the timing to perform a predetermined process regarding the analysis device based on the discrepancy between the time-related information regarding the time used by the analysis device and the time-related information regarding the time output from the second clock, Even if there is a time difference between the analysis device and the processing device included in the analysis system, and there is a possibility that the time output by the analysis device cannot be changed, the execution of the above-mentioned predetermined processing in the processing device It is possible to minimize the impact on

The processing device may perform, as a predetermined process, collecting analysis data regarding particulate matter acquired by the analyzer at predetermined time intervals.
As a result, even if there is a time difference between the analyzer and the processing device and there is a possibility that the time output by the analyzer cannot be changed, the influence of this time difference can be minimized and the analysis performed. Since data collection can be performed, it is possible to suppress the possibility of data loss due to inability to obtain analysis data.

The analysis device may add time-related information to the analysis data and output it to the processing device. This reduces the need for the processing device to directly check the time on the first clock.

The processing device calculates the time difference between the time used in the analysis device and the time output from the second clock based on the time-related information added to the analysis data and the time-related information output from the second clock. It may be calculated. Thereby, it is possible to specifically grasp the time difference that may occur between the time used in the analyzer and the time of the second clock.

The processing device may calculate a scheduled output time at which the analysis device will output the analysis data. In this case, the processing device may collect analysis data from the analysis device at the timing when the time output from the second clock becomes the scheduled output time.
As a result, even if there is a time lag between the analyzer and the processing device and there is a possibility that the time output by the analyzer cannot be changed, the actual timing at which analysis data is output will be more accurate. There is a possibility that it can be grasped.

The analyzer may be capable of analyzing particulate matter at a plurality of predetermined analysis points. In this case, analysis data regarding particulate matter is classified for each analysis point where the analysis data was acquired. This may facilitate the management of analysis data obtained at multiple analysis points.

The analysis system may further include a position information receiver that acquires position information indicating the position of the analysis device.
In this case, if the location indicated by the location information acquired by the location information receiver when acquiring analysis data is within a predetermined tolerance range from a specific analysis point, the analysis data will be acquired at that specific analysis point. data may be classified as
As a result, even if the location indicated in the location information obtained by the location information receiver is slightly different from the predetermined analysis point, it is possible to appropriately classify the analysis data by analysis point. .

If the location of the analysis device cannot be determined from the location information obtained by the location information receiver when analysis data is obtained, the analysis data will be classified and retained as unclassified because the analysis point from which the data was obtained is unknown. may be done. This may prevent valuable analysis data from being lost as unclassified.

Analysis data classified as unclassified may be reclassified as analysis data acquired at any one of a plurality of analysis points. This could potentially save valuable analytical data as classified data.

A processing device according to another aspect of the present invention is a processing device that executes predetermined processing related to an analysis device. The analyzer performs analysis regarding particulate matter according to the time output from the first clock.
The processing device has a second clock that is independent of the first clock, and performs analysis based on the discrepancy between the time-related information about the time used by the analysis device and the time-related information about the time output from the second clock. Determine the timing to execute predetermined processing regarding the device.
As a result, even if there is a time difference between the analysis device and the processing device included in the analysis system, and there is a possibility that the time output by the analysis device cannot be changed, the above-mentioned predetermined processing in the processing device There is a possibility that the impact on the execution of the system can be minimized.

An analysis method according to still another aspect of the present invention includes an analysis device that has a first clock and performs analysis regarding particulate matter, and a second clock that is independent of the first clock and performs a predetermined process related to the analysis device. An analysis method in an analysis system comprising: The analysis method includes the following steps.
◎A step in which the analyzer performs analysis regarding particulate matter according to the time output from the first clock.
A step in which the processing device determines the timing to execute a predetermined process based on the discrepancy between the time-related information regarding the time used by the analysis device and the time-related information regarding the time output from the second clock.
As a result, even if there is a time difference between the analyzer and the processing device included in the analysis system, and there is a possibility that the time output by the analyzer cannot be changed, the predetermined processing in the processing device The impact on execution may be minimized.

A program according to still another aspect of the present invention includes an analyzer that has a first clock and executes an analysis regarding particulate matter according to the time output from the first clock, and a second clock that is independent of the first clock. This is a program that causes the processing device to execute an analysis method in an analysis system including a processing device that executes a predetermined process related to the analysis device. This analysis method includes the following steps.
◎A step of determining the timing to execute a predetermined process based on the discrepancy between the time-related information related to the time used by the analyzer and the time-related information related to the time output from the second clock.
As a result, even if there is a time difference between the analyzer and the processing device included in the analysis system, and there is a possibility that the time output by the analyzer cannot be changed, the predetermined processing in the processing device The impact on execution may be minimized.

Even if there is a time difference between the analysis device and the processing device included in the analysis system, and there is a possibility that the time output from the analysis device and/or the processing device cannot be adjusted, the specified time in the processing device There is a possibility that the impact on processing execution can be minimized.

1 is a diagram showing a configuration example of an environmental measurement system targeted by the present invention. FIG. 2 is a diagram showing an example of the configuration of an analysis device used in FIG. 1. FIG. FIG. 1 is a diagram showing a configuration example of the present invention. 4 is a diagram illustrating a flow of processing particularly specific to the present invention regarding the configuration of the present invention shown in FIG. 3. FIG. 4 is a diagram illustrating an example of a method for particularly inputting a definition of a measurement point in the process specific to the present invention shown in FIG. 3. FIG. FIG. 4 is a diagram showing, in particular, a process of classifying analysis results by measurement point in the process specific to the present invention shown in FIG. 3; The figure which showed the example of a user interface screen used when processing, for example manually in the process of reclassifying unclassified analysis results which is a process specific to the present invention shown in FIG. FIG. 3 is a diagram showing an example of a multi-point environmental measurement monitoring screen realized by the present invention.

1. First Embodiment Hereinafter, a processing method specific to the present invention will be described in detail with reference to the drawings. In addition, in the following figures, the same reference numerals indicate the same or similar parts.
FIG. 1 shows a typical configuration example of the environmental measurement system of the present invention. The environment measurement system of the present invention typically includes a mobile environment measurement system (MST1), a wide area communication network (WAN1), a server (SV1), and a user terminal (UPC1). Among these, the mobile environmental measurement system (MST1) includes multiple analysis devices (AN1 to AN3), a data collection device (LG1), a position information receiver (GPS1), and It consists of a communication network (NW1) that connects the following devices.

In the above, the plurality of analysis devices AN1 to AN3, data collection device LG1, and position information receiver GPS1 of the mobile environmental measurement system MST1 constitute one closed network through the communication network NW1, and the mobile environmental measurement system Although the system MST1, the server SV1, and the user terminal UPC1 are connected to the wide area communication network WAN1, the present invention is not limited thereto.
For example, in the mobile environment measurement system MST1, a plurality of analysis devices AN1 to AN3 and a position information receiver GPS1 are configured by a closed network, and the closed network (devices constituting the network) and the data collection device LG1 are connected to each other. , server SV1 and user terminal UPC1 may be connected to wide area communication network WAN1.
Alternatively, the mobile environment measurement system MST1, the server SV1, and the user terminal UPC1 may all constitute one closed network.
Furthermore, the mobile environmental measurement system MST1 and the server SV1 may constitute one closed network, and this closed network and the user terminal UPC1 may be connected to the wide area communication network WAN1. Alternatively, the mobile environment measurement system MST1 and the user terminal UPC1 may constitute one closed network, and this closed network and the server SV1 may be connected to the wide area communication network WAN1.
Which devices are included in which closed networks and the number of closed networks can be arbitrarily changed depending on the system configuration.

The mobile environment measurement system MST1 is periodically moved to measurement points (MP1 to MP7) set in advance within the measurement target area (MF1), and the environment is measured based on processing specific to the present invention, which will be described later. , the measurement results are aggregated to the server (SV1) via the wide area communication network (WAN1). The server (SV1) stores the analysis results collected in this way in the database within SV1, and also provides information such as the mass concentration of pollutants in the air to the user in response to a request from the user terminal (UPC1). Display changes over time, etc. in graphs, etc.

Next, the specific configuration of the analyzer AN1 will be explained using FIG. 2. FIG. 2 is a diagram showing the configuration of the first analysis device.
The analyzer AN1 includes a collection filter 11, a collection section 13, a first analyzer SAN1, a second analyzer SAN2, and a control section 19.

The collection filter 11 is formed, for example, of a porous fluororesin material having pores capable of collecting particulate matter PM on a reinforcing layer formed of a nonwoven fabric of a polymeric material (such as polyethylene). It is a tape-shaped member formed by laminating a collection layer (sometimes called a collection region).
Particulate matter PM is generated, for example, by combustion processes in factories, brakes of various transportation devices (cars, ships, etc.), tires, internal combustion engines, steam engines, exhaust gas purification devices and motors, natural disasters such as volcanic eruptions, and mine development. It is a particulate matter on the order of micrometers that is generated by

As the collection filter 11, other filters such as a single layer glass filter or a single layer filter made of a fluororesin material can also be used.
In this embodiment, the collection filter 11 is moved in the length direction (in the direction indicated by the thick arrow in FIG. 2) by winding up the collection filter 11 sent out from the delivery reel 11a by the rotation of the take-up reel 11b. Can be moved.

The collection section 13 is provided so as to correspond to the first position P1 in the length direction of the collection filter 11. For example, the collection unit 13 blows the air A sucked by the suction force of the suction port 35 connected to the suction pump 31 from the exhaust port 33 onto the collection region present at the first position P1 of the collection filter 11. Then, particulate matter PM contained in the atmosphere A is collected in the collection region.

The first analyzer SAN1 measures the amount of particulate matter PM collected on the collection filter 11. Specifically, the first analyzer SAN1 includes a β-ray source 51 and a β-ray detector 53.
The β-ray source 51 is provided at the discharge port 33 of the collection unit 13 and emits β-rays to the collection area of the collection filter 11 arranged at the first position P1. The β-ray source 51 is, for example, a β-ray source using carbon-14 ( ¹⁴ C).
The β-ray detector 53 is provided to face the β-ray source 51 at the suction port 35 of the collection unit 13, and detects β-rays that have passed through the particulate matter PM collected in the collection area at the first position P1. Measure intensity. The β-ray detector 53 is, for example, a photomultiplier tube equipped with a scintillator. The amount of trapped particulate matter PM (mass concentration) is calculated based on the intensity of β-rays measured by the β-ray detector 53.

The second analyzer SAN2 is provided to correspond to a second position P2 in the length direction of the collection filter 11, and measures data regarding fluorescent X-rays generated from particulate matter PM present at the second position P2. . Specifically, the second analyzer SAN2 includes an X-ray source 71 and a detector 73.
The X-ray source 71 irradiates particulate matter PM present at the second position P2 with X-rays. The X-ray source 71 is, for example, a device that irradiates metal such as palladium with an electron beam to generate X-rays. Detector 73 detects fluorescent X-rays generated from particulate matter PM. The detector 73 is, for example, a silicon semiconductor detector or a silicon drift detector.

The control unit 19 controls each component of the analyzer AN1.
Specifically, the control unit 19 acquires the mass concentration of particulate matter PM using the first analyzer SAN1 provided at the first position P1, and acquires the mass concentration of the particulate matter PM using the first analyzer SAN1 provided at the second position P2. In order to obtain elemental analysis results using the device SAN2, the collection filter 11 is moved by controlling the take-up reel 11b. Specifically, the control unit 19 controls the collection area of the collection filter 11 (where particulate matter PM is the collected area) is moved from a first position P1, where the first analyzer SAN1 is provided, towards a second position P2, where the second analyzer SAN2 is provided.

Further, the control unit 19 can adjust the amount of movement when moving the collection area of the collection filter 11 from the first position P1 to the second position P2. For example, if the distance from the first position P1 to the second position P2 is DIS, the amount of movement of the collection area per time can be adjusted as DIS/n (n: positive integer). That is, it can be set that in order to move from the first position P1 to the second position P2, it is necessary to move n times by a distance of DIS/n.

By setting the "n" value of DIS/n, which is the amount of movement of the collection area, to an integer larger than 1, particulate matter PM can be collected at narrow intervals on the collection filter 11 (that is, the particulate matter PM can be collected at narrow intervals on the collection filter 11). (The interval between the collection areas can be narrowed.) Therefore, waste of the collection filter 11 can be eliminated.
On the other hand, by setting the "n" value to an integer larger than 1, it is possible to change the timing between the timing when the measurement result of the collected amount of particulate matter PM in the same collection area is obtained and the timing when the elemental analysis result is obtained. There will be a time delay. For example, when the particulate matter PM collection time is 1 hour and the "n" value is 4, the control unit 19 acquires the measurement result of the amount of particulate matter PM in a certain collection area, and then After about 4 hours, elemental analysis results will be obtained for particulate matter PM in the same collection area.

The control unit 19 acquires the intensity of the β-rays measured by the first analyzer SAN1 at every predetermined time output by the internal clock ACLK1, and determines the mass concentration of particulate matter PM based on the intensity of the β-rays. is calculated and output as the analysis result.
Further, the control unit 19 acquires fluorescent X-ray data (for example, a fluorescent X-ray spectrum) obtained by the second analyzer SAN2 at each predetermined time, and performs particle analysis based on the fluorescent X-ray data. The elements contained in the PM and their contents are calculated and output as analysis results.

FIG. 3 illustrates the internal functional block configurations of the analysis devices AN1 to AN3, data collection device LG1, server SV1, and user terminal UPC1 that constitute the mobile environmental measurement system MST1 of the present invention in FIG. It is a diagram. Of these, the analysis device AN1 includes a communication network interface (ANIF1), a user interface (AUIF1), an internal clock (ACLK1) (an example of a first clock), and a first analysis device, which are related to the unique processing of the present invention. It consists of a second analyzer (SAN1), a second analyzer (SAN2), and databases (SDA1, SDA2) that store the analysis results.

Similarly, the data collection device LG1 (an example of a processing device) has a communication network interface (LNIF1), a user interface (LUIF1), and an internal clock (LCLK1) (second clock) related to the specific processing of the present invention. example), a program code (LP1) that implements processing specific to the present invention, a processor and memory (LCPUMEM1) that executes the program code, analysis results from an analyzer AN1, etc., and a position information receiver (GPS1). The database includes a database (LDB1) that temporarily stores position information from the computer, and a database (LDB2) that holds time difference information for each analyzer that is unique to the present invention.
Note that the functions of the data collection device LG1 described in the first embodiment may be incorporated into the server SV1, so that the analysis device of the mobile environmental measurement system MST1 and the server SV1 can directly communicate with each other. In this case, the server SV1 is an example of a processing device.

The server SV1 also includes a communication network interface (SNIF1), a user interface (SUIF1), an internal clock (SCLK1), a program code (SP1) that implements processing specific to the present invention, a processor that executes the program code, and a memory ( SCPUMEM1), a database (SDB1~) that classifies and stores analysis results for each of the above-mentioned measurement points according to the positional information from the data collecting device LG1; It consists of a database (SDBX) unique to the present invention that stores analysis results that could not be classified into any measurement point when the results were outside the set range. Furthermore, as will be described later, a measurement point definition database (MA1) unique to the present invention that defines position information of measurement points and its permissible range is also held in the server SV1.

Furthermore, the user terminal UPC1 has a communication network interface (UPNIF1), a user interface (UPUIF1), an internal clock (UPCLK1), a program code (UP1) on the user terminal, and a processor and memory (UPCPUMEM1) that execute the program code. configured.

These analysis device AN1, data collection device LG1, server SV1, and user terminal UPC1 can communicate with each other via wide area communication network WAN1. In this embodiment, to simplify the explanation, a wide area communication network WAN1 and a communication network NW1 within the data collection device LG1 are distinguished, but all devices from the analysis device AN1 to the user terminal UPC1 are within the same communication network NW1. It doesn't matter if it exists in Similarly, a configuration in which all devices are connected to the wide area communication network WAN1 is also possible. Since the details of the wide area communication network WAN1 and the communication network NW1 are well known to those skilled in the art, a detailed explanation thereof will be omitted here.

The above is the configuration and outline of the environmental measurement system of the present invention. As shown in this configuration, the analyzers AN1 to AN3, the data collection device LG1, and the server SV1 each have an independent clock internally. The feature is that the server SV1 maintains the time consistency of analysis results from a plurality of analysis devices without forcibly synchronizing the time using NTP or the like. Furthermore, the location information received by the location information receiver GPS1 installed in the mobile environmental measurement system MST1, the location information for each measurement point preset in the measurement point definition database MA1 in the server SV1, and its allowable range. According to the definition, the feature is that the results from the analyzer are automatically classified for each measurement point. Furthermore, even in situations where the location information receiver GPS1 does not output normal location information due to some factor such as the surrounding environment, by providing a mechanism to collect analysis results later, the system can utilize valuable measurement results without wasting them. The feature is that it is possible to realize. Hereinafter, according to FIG. 4, processing specific to the present invention implemented to realize these features will be described.

Before starting the process described below, check the time output by the internal clock ACLK1 of the analyzer AN1, the time output by the internal clock LCLK1 of the data collection device LG1, and the time output by the internal clock SCLK1 of the server SV1. The time of the internal clock of the analyzer AN2 and the time of the internal clock of the analyzer AN3 may be synchronized.
This time synchronization can also be performed manually, for example, using the user interface of each device (for example, the graphical user interface INF3 shown in FIG. 9, which will be described later). It can be executed using NTP (Network Time Protocol) which is synchronized with .

In the analyzer AN1, first, various processes necessary for starting analysis are executed in a subroutine or step AP10. The details of the start process have already been explained in the explanation of FIG. 2, so they will be omitted here. Next, in a subroutine or step AP11, the first analyzer SAN1 waits for the measurement of particulate matter PM to be completed and the analysis result to be determined. In the subroutine or step AP13, after the analysis result is determined, the internal clock ACLK1 is accessed to obtain the time when the analysis is completed as a timestamp. Thereafter, in a subroutine or step AP12, a time stamp is added to the analysis result and output to the data collection device LG1 (SDA1).

The timestamp is time-related information including information regarding the time used by the analyzer AN1, and is time and time information determined based on a common agreement with the server SV1. As the time stamp, it is possible to use, for example, a time that marks the start/end of various processes executed by the analyzer AN1.

Typically, the time stamp is the measurement start time or measurement end time of the first analyzer SAN1 and the second analyzer SAN2 (for example, when the β-ray intensity is acquired in the first analyzer SAN1). (start time or end time), collection time (e.g. start time or end time of collection of particulate matter PM in the collection filter 11), and measurement completion time (e.g. analysis result The time when the calculation was completed, the time when the calculation of the analysis result was completed, etc. can be used. Here, an example will be explained in which the collection time and measurement completion time are used. In addition to this, the collection time, the measurement completion time alone, or the time information of the internal clocks of the first analyzer SAN1 and the second analyzer SAN2 itself can be used. Furthermore, as will be described later, time difference information detected by the data collection device LG1 may be added to the timestamp as additional information for the purpose of correcting the time accuracy when stored in the database of the server SV1. do not have.

Furthermore, for example, the time of the internal clock LCLK1 at the timing when the data collection device LG1 acquired the analysis result etc. can be added to create a new time stamp.
In short, as long as there is a common agreement with the server SV1, any time and time information may be used for the timestamp. In the following explanation, in order to simplify the explanation, the case of measurement completion time will be explained as an example.

If there are multiple analyzers in the analyzer AN1, the subroutine or the processing of steps AP11 to AP13 is executed for each analyzer. Although parallel execution is possible, the details are well known to those skilled in the art and will therefore be omitted here. FIG. 4 shows a process when the analyzer AN1 also has a second analyzer SAN2.

The analysis device AN1 and the data collection device LG1 are connected to each other via a communication network NW1 (typically Ethernet (registered trademark)), and are connected to each other via a common protocol (typically Modbus (registered trademark)) on the communication network NW1. ) etc.), and the analysis results and time stamps stored in the databases SDA1 and SDA2 are read out to the data collection device LG1 at any time. As the communication network NW1, in addition to Ethernet (registered trademark), RC232C, RS485, etc. can be used. Additionally, protocols other than Modbus (registered trademark) can also be used. The details of these networks and protocols are well known to the same carrier, so a detailed explanation will be omitted here. Any interface or protocol may be used as long as it is a common interface or protocol.

Next, in a subroutine or step LP10 in the data collection device LG1, the above-mentioned time stamp is first read out. Furthermore, in the subroutine or step LP11, the inside of the analyzer AN1 as seen from its own internal clock LCLK1 is determined from the difference between the internal clock LCLK1 of the data collecting device LG1 itself and the measurement completion time stored in the acquired time stamp. The relative time difference of clock ACLK1 is detected. In the subroutine or step LP13, it is checked whether or not there has been a change in the detected time lag value, and if there has been a change, the time lag value for each analyzer held in the database LDB2 is updated. Note that the time difference detected in this manner is caused by the read time interval of the time stamp of the subroutine or step LP10 and the time for loop execution of the subroutine or steps LP10 to LP13. However, typically, the reading interval of the subroutine or step KP10 can be set to about one second, and the time required to execute the subroutine or step loop LP10 to LP13 is on the order of tens of milliseconds. This is a sufficiently short time compared to the typical measurement time of 30 minutes to several hours using the analyzers SAN1 and SAN2, and the error is within a range that does not pose a problem in practice. In this way, the data collection device LG1 detects the time lag of the analysis device AN1. Note that what is important in the present invention is the detection of relative time differences. Therefore, as described above, when the time stamp is other than the acquisition time and the measurement completion time, the deviation may be calculated using a combination that allows the relative time deviation to be detected. Various time information and combinations thereof are possible.

Next, in accordance with the time difference information for each analyzer stored in the database LDB2, in a subroutine or step LP12, the time difference of the analyzer AN1, etc. is corrected, and the time at which the analysis result is output (the scheduled output time) example). When the scheduled time for outputting the analysis results arrives, the analysis results are read in the next subroutine or step LP14. If there are multiple analysis results, the reading process is repeated until all analysis results have been read.

Furthermore, in a subroutine or step LP15, position information of the mobile environmental measurement system MST1 itself is acquired from the position information receiver GPS1 connected to the data collection device LG1 via the communication network NW1. Typically, a GPS (Global Positioning System) or the like can be used as the position information receiver GPS1. The receiver is not limited to a GPS receiver, and other types of receivers can be used as long as they can output coordinate information of a so-called geodetic system such as WGS84 (World Geodetic System).

Next, in a subroutine or step LP16, in addition to the analysis results and time stamps included in the database SDA1, the position information from the position information receiver GPS1 is written to the database LDB1. At this time, identification information of the analyzer, typically so-called ID information such as a serial number unique to each analyzer, is also written. If there are multiple analyzers, the above subroutine or steps LP10 to LP16 are repeated to construct a database using the ID information of the analyzers as a key.

In the server SV1, in a subroutine or step SP10, the IDs, analysis results, time stamps, and location information of the analysis devices aggregated in the data collection device LG1 are read via the wide area communication network WAN1. After the reading is completed, in a subroutine or step SP11, automatic determination of measurement points and classification processing of analysis results are executed. Hereinafter, the contents of this process unique to the present invention will be explained with reference to FIG. 5, which describes the contents of the subroutine or step SP11 in detail. First, in a subroutine or step SP20, the position information received by the position information receiver GPS1 is retrieved, and the measurement point definition database MA1 is accessed to read out the definitions of the registered measurement points. Definition input to the measurement point definition database MA1 is realized in a subroutine or step SP12. Details of the subroutine or step SP12 will be described later. Next, in a subroutine or step SP21, the distance to each measurement point is calculated, and in a subroutine or step SP22, it is determined whether the distance is within an allowable range defined for each measurement point. If it is within the allowable range, in the subroutine or step SP24, the data such as the analysis result is interpreted as data obtained at that measurement point, and is registered in the database SDB1 classified by measurement point. When registering the analysis results in the database SDB1, time information is registered based on the information stored in the time stamp using processing unique to the present invention, as will be described later.

On the other hand, if the determination result is outside the allowable range, it is checked in the subroutine or step SP23 whether all measurement points have been determined, and if the determination has been completed, the data is classified as data that is not classified at any measurement point. It is stored in the measurement point unclassified database SDBX, which is a database specific to the invention. If there remain undetermined measurement points, the measurement points to be determined are changed in the subroutine or step SP26, and the processes from the subroutine or step SP20 onward are repeated.

In general, position information output from a GPS receiver, which is an example of the position information receiver GPS1, constantly fluctuates within a certain error range, typically within an error range of several meters. The reason why the position information from the GPS receiver fluctuates is due to changes in the surrounding environment, changes in the state of the ionosphere, etc., although I will not explain the details because they are well known to those in the industry. Therefore, even if measurements are taken at the same measurement points MP1 to MP7 each time, the position information output of the position information receiver GPS1 may always vary by several meters. Furthermore, in actual operation, the means of transportation VE1 is typically a vehicle such as a truck, and even if measurements are taken at the same point, the measurement points are actually several meters apart. It is possible to put it away. On the other hand, in the environmental measurement system that is the target of the present invention, there is practically no problem even if the measurement points are different by several meters. For the above reasons, data within a range of several meters must be treated as data from the same measurement point.
For example, the technology used in navigation systems installed in cars compares map data and received position information, takes into account speed information, and uses the premise that the car basically moves on the road. Based on this, the fluctuating GPS position information is corrected. However, in the mobile environment measurement system targeted by the present invention, there is a low possibility that the system will move during measurement. Furthermore, the measurement point is not necessarily on the road. Furthermore, most of the measurement target area MF1 is an area for which map data is not prepared, such as inside a factory. Therefore, with the above techniques, it is difficult to realize the target mobile environment measurement system of the present invention.

In order to realize a mobile environmental measurement system, the present invention implements a measurement point definition database MA1, a subroutine or steps SP11 to SP12 to define an allowable range for each measurement point, and also implements a measurement point definition database MA1 and a subroutine or steps SP11 to SP12 to define an allowable range for each measurement point. By determining whether each measurement point is within the allowable range based on this, automatic classification of data into measurement points that match the above target is realized. FIG. 6 shows an example of implementing a subroutine or step SP12 specific to the present invention for defining measurement points. For each measurement point, a user manually inputs and sets the latitude, longitude, and allowable range.

Furthermore, the present invention is characterized in that it provides a means for saving valuable measurement data later by implementing the measurement point unclassified database SDBX and the unclassified result reclassification subroutine or step SP13. As is well known to those in the industry who have used GPS receivers, in addition to the above-mentioned error fluctuations, GPS receivers are also affected by the surrounding environment and may not be able to properly receive position information from GPS satellites. be. Therefore, by implementing the measurement point unclassified database SDBX and the unclassified result reclassification subroutine or step SP13, valuable analysis results that took a long time to measure will be discarded as measurement points are unclassified. You can avoid being caught.

What is shown in FIG. 7 is an implementation example of the unclassified result reclassification subroutine or step SP13 implemented for the purpose of such data rescue. This implementation example is an example of manually classifying unclassified data, and is an implementation example of the user interface (RUI1). In the user interface RUI1, the user selects the target mobile environment measurement station RST1. Next, for example, the date and time of classification and its period RTR1 are manually set, and the measurement point (RMP1) to which the unclassified data of that period should belong is selected. The feature is that valuable data can be recovered later in this way.

The present invention is characterized in that, when registering analysis results in the database, the measurement time information of the analyzer is extracted from the time stamp, and the analysis results are registered in the database using that time information. For example, in the explanation so far, the collection time information and measurement completion time of each analyzer are added as time stamps. In such a case, the collection time can be extracted as is and stored as the time of the analysis result in the database. In addition, the time lag detected by the data collection device LG1 is added to the time stamp, and the time lag of the analyzer AN1 is corrected by software processing (SP1) when storing the data in the database. It is also possible to improve time accuracy by using it to correct time lag. Furthermore, regarding the internal clock LCLK1 of the data collection device LG1, the internal clock SCLK1 of the server SV1, and the internal clock UCLK1 of the user terminal UPC1, it is possible to use time synchronization with general NTP. By using it in conjunction with NTP, high time accuracy can be achieved for the time stored in the database.

FIG. 8 shows an example of measurement results actually measured using the environmental measurement system realized by the present invention. The graphical user interface INF3 shown in FIG. 8 includes a graph display section DIS1 that displays a graph of changes in analysis results over time, a type display section DIS2 that displays the type of analysis results, and a point display section that displays the measurement points where the analysis results were obtained. A display section DIS3, a target display section DIS4 that displays the analysis target in the analysis result, and a display period display section DIS5 that displays the display period of the analysis result.

As explained in the Background Art section, the market is eagerly awaiting a measurement system that can easily and inexpensively measure the environment. However, with current analytical technology, it is difficult to simultaneously measure multiple elements in the atmosphere, their concentrations, and even wind direction and speed using a single analyzer. . Therefore, a measurement system consisting of a plurality of analyzers is required, and it is necessary to manually collect the analysis results from the plurality of analyzers. In addition, in applications such as estimating the source of pollutants, it is important to aggregate data obtained by multiple analyzers on the same time axis. However, each of the multiple analyzers has an independent internal clock, and there is no particular mechanism for time synchronization. For this reason, if measurements are carried out for several days in a row, the time information of each analyzer will be out of sync, and as a result, it will become extremely difficult to compile data to align the time axes of the data. In some cases, due to time lag, for example, when the time of an analyzer is delayed, a problem may occur where there are no analysis results from a particular analyzer in a particular time period.

A clock built into an electronic device is generally implemented using a semiconductor integrated circuit called an RTC (Real Time Clock). Even in RTCs used in industrial PCs, when used at a constant ambient temperature of 25° C., a deviation of several minutes may occur in one month. On the other hand, in environmental measurement, one measurement can take several weeks. Furthermore, analysis results are output from the analyzer in 30 minute, 1 hour, and 2 hour increments, but if there is a lag of several minutes between the analyzer and the receiving side, in the worst case, within an hour, Data loss occurs, such as when there is an analysis result, but there are no analysis results for the next hour. Therefore, even a difference of a few minutes causes a problem for the measurement system.

The easiest way to solve this problem is to replace the RTC chip with a more accurate one, but such a highly accurate RTC chip is expensive, and the analysis equipment, that is, the measurement system. This is not a desirable measure because it leads to increased costs. Furthermore, since the time accuracy of the RTC chip strongly depends on the ambient temperature conditions, it is necessary to use some kind of auxiliary equipment or facility to keep the ambient temperature constant, which increases not only the installation cost but also the management and operation cost. It ends up.

In order to solve such problems caused by the lack of precision and temperature dependence of RTC chips, NTP is widely used in PCs, servers, smartphones, etc. via network communication. However, NTP cannot be used in the environmental measurement system targeted by the present invention. In NTP, a device with a reference clock is used as an NTP server, other PCs and smartphones are used as NTP clients, and the internal clock on the client side is forcibly adjusted to the clock on the NTP server side. However, in the analyzer that makes up this measurement system, the time information from the internal clock is used for control processing that requires internal precision processing, and as a result, changing the time during measurement has a negative impact on the measurement itself. There is a fear. Therefore, it is necessary to provide a method for detecting and correcting time lag without using NTP.

In addition to the problem of this time difference, in order to realize an environmental measurement system, it is necessary to provide a measurement system that can perform measurements at multiple points at a low cost. For example, in order to suppress environmental pollutants, we continuously measure the environment at multiple measurement points and consider the amount of pollutants at each measurement point and the wind direction and wind speed at that time, etc. to determine the source of the pollutants. It is essential to identify the However, in the current environmental measurement system, expensive analyzers are required for each measurement point. Due to the cost of introducing the entire measurement system, it is practically difficult to measure at multiple points. It is necessary to provide an inexpensive and feasible method.

The system according to the present invention described above solves the above problems, and even when there is a time difference between multiple analyzers, the system automatically handles the measurement data without manually editing and organizing it. be able to. Furthermore, it is possible to provide a method for realizing an environmental measurement system at multiple points that can be used for estimating the source of environmental pollutants, etc., without introducing multiple expensive analysis devices.

2. Other Embodiments Although a plurality of embodiments of the present invention have been described above, the present invention is not limited to the above embodiments, and various changes can be made without departing from the gist of the invention. In particular, the multiple embodiments and modifications described in this specification can be arbitrarily combined as necessary.
For example, the order and/or processing contents of each step shown in the flowchart of FIG. 4 can be changed without departing from the gist of the invention.

(A) For example, set upper and/or lower limits for the data included in the analysis results (e.g. content of each element), and issue a warning when these upper/lower limits are exceeded. Good too.

(B) For example, the time when the first analyzer SAN1 finishes acquiring the β-ray intensity of a specific particulate matter PM, and the time when the second analyzer SAN2 finishes acquiring the β-ray intensity of the specific particulate matter PM The time it takes for the collection area of the collection filter 11 to move from the first position P1 to the second position P2 can be calculated based on the difference (referred to as delay time) between the time and the time when the line data acquisition is finished.

(C) When the amount of movement of the collection area of the collection filter 11 per time in the analyzer AN1 is set as DIS/n, the delay time is divided by the collection time of particulate matter PM, and the above " n' value can be calculated, and as a result, the amount of movement of the collection area of the collection filter 11 per time can be calculated. Note that the collection time can be calculated, for example, from the difference between the time when collecting particulate matter PM starts and the time when collecting particulate matter PM ends.

(D) If the amount of deviation between the time used in the analyzer and the time used in server SV1 and/or data collection device LG1 exceeds a predetermined amount, server SV1 It is also possible to notify the user terminal UPC1 that the time difference has become large (for example, by e-mail).

(E) Timing for collecting analysis data, etc. without calculating the scheduled output time from the time difference between the time information included in the time stamp acquired from the analysis device and the time output by the internal clock LCLK1 of the data collection device LG1. may be estimated.
For example, while the analyzer generates a timestamp containing information regarding the time when calculation of the analysis result was completed and adds it to the analysis data, the data collector LG1 updates the timestamp held by the analyzer at a predetermined period. Check whether it is correct or not.
The data collection device LG1 recognizes that the calculation of new analysis data is completed when the timestamp held by the analysis device is updated, and calculates the new analysis data at the timing when it detects that the timestamp has been updated. You can collect the timestamp attached to it.

(F) The time stamp may include not only information regarding the time used in the analysis device AN1 and data collection device LG1, but also information regarding the time used in the analysis devices AN2 and AN3.

(G) Although the mobile environmental measurement system MST1 of the first embodiment included three analysis devices AN1 to AN3, the system may include more devices such as analysis devices. Even in this case, according to the processing method of the present invention, it is possible to detect the time difference for each analyzer and ensure the time accuracy of each analyzer.

AN1, AN2, AN3: Analyzer GPS1: Location information receiver MST1: Mobile environmental measurement system LG1: Data collection device NW1: Communication network VE1 that connects analyzers such as AN1 and LG1 within MST1: Mobile means MP1 of MST1 ~MP7: Measurement point MF1: Measurement area WAN1: Communication network
SV1: Environmental measurement system server UPC1: User terminal 11: Collection filter 11a: Delivery reel 11b: Take-up reel 13: Collection unit 19: Control unit 31: Suction pump 33: Discharge port 35: Suction port 51: β-ray source 53: β-ray detector 71: X-ray source 73: Detector ANIF1: Communication network interface of AN1 AUIF1: User interface of AN1 ACLK1: Internal clock of AN1 SAN1: First analyzer built in AN1 SAN2: First analyzer built in AN1 2 analyzer SDA1: A database that temporarily stores the analysis results of SAN1 and time stamps SDA2: A database that temporarily stores the analysis results of SAN2 and time stamps LNIF1: Communication network interface of LG1 LUIF1: User interface of LG1 LCLK1 : Internal clock LCPUMEM1 of LG1: A microprocessor that executes control processing of LG1, and memory LDB1: Database LDB2 that temporarily stores analysis results such as AN1 collected from MST1, time stamps, and position information of MST1. Database LP1 that stores time differences of analyzers such as AN1 for each analyzer: Software LP to LP15 that executes processing specific to the present invention in LG1: Subroutine or step SNIF1 constituting software processing LP1 specific to the present invention : SV1's communication network interface SUIN1: SV1's user interface SCLK1: SV1's internal clock SCPUMEM1: Microprocessor that executes SV1's communication, database control, display processing, etc., and memory SDB1: Analysis results and time stamps collected from LG1 From the database SDB2, which stores data related only to measurement point 1: analysis results collected from LG1, and time stamps, database SDB3, which stores data related only to measurement point 2: analysis results collected from LG1, and time stamps. Processing unique to the present invention is performed in the database SP1:SV1 that stores data that cannot be classified into any measurement based on the analysis results and time stamps collected from the database SDBX:LG1 that stores data related only to measurement point 3. Software to be executed SP10 to SP15: Subroutine or step MA1 constituting software processing SP1 specific to the present invention: Database SP20 to SP26 storing measurement point definitions defined in SP12, which is a subroutine or step specific to the present invention: Subroutine or step RUI1 constituting software processing SP11 specific to the present invention: Software processing specific to the present invention: Example user interface screen RST1 when the reclassification process SP13 is realized manually, for example: User interface RUI1 specific to the present invention In RUI1, a screen RMP1 for selecting an environmental measurement system to be targeted for reclassification processing SP13: a user interface unique to the present invention RTR1: a screen for setting a period to be reclassified for reclassification processing SP13: a user interface unique to the present invention Screen B1 for selecting a measurement point to be reclassified in the reclassification process SP13 in the user interface RUI1: Button for executing reclassification according to the settings selected in the user interface RUI1 unique to the present invention INF3: Measurement realized by the present invention Screen example of a graph that displays the results of an analyzer in the system DIS1: Graph display section DIS2: Type display section DIS3: Point display section DIS4: Target display section DIS5: Display period display section PM: Particulate matter

Claims (12)

an analyzer that performs analysis regarding particulate matter according to the time output from the first clock;
A second clock is provided which is independent of the first clock, and there is a difference obtained from a comparison result between time-related information regarding the time used in the analysis device and time-related information regarding the time output from the second clock. a processing device that determines the timing to execute a predetermined process regarding the analysis device based on the analysis device;
An analysis system with The analysis system according to claim 1, wherein the processing device executes, as the predetermined process, collecting analysis data regarding the particulate matter acquired by the analysis device at every predetermined time. The analysis system according to claim 2, wherein the analysis device adds the time-related information to the analysis data and outputs it to the processing device. The processing device determines the time used by the analysis device and the time output from the second clock based on the time-related information added to the analysis data and the time-related information output from the second clock. The analysis system according to claim 3, which calculates a time difference with respect to the time. The processing device calculates a scheduled output time at which the analysis device outputs the analysis data,
The analysis system according to claim 4, wherein the analysis data is collected from the analysis device at a timing when the time output from the second clock becomes the scheduled output time. The analyzer is capable of analyzing the particulate matter at a plurality of predetermined analysis points, and the analysis data regarding the particulate matter is classified for each analysis point from which the analysis data is obtained. 5. The analysis system according to any one of 5. further comprising a position information receiver that acquires position information indicating the position of the analysis device,
If the location indicated by the location information acquired by the location information receiver when acquiring the analysis data is within a predetermined tolerance range from a specific analysis point, the analysis data is acquired at the specific analysis point. The analysis system according to claim 6, wherein the analysis system is classified as classified data. If the location of the analysis device cannot be identified from the location information acquired by the location information receiver when the analysis data is acquired, the analysis data is classified as unclassified because the analysis point where the data was acquired is unknown. The analysis system according to claim 7, wherein the analysis system is classified and retained. The analysis system according to claim 8, wherein the analysis data classified as unclassified can be reclassified as analysis data acquired at any one of the plurality of analysis points. A processing device that executes a predetermined process related to an analysis device that performs analysis regarding particulate matter according to the time output from a first clock,
A second clock independent of the first clock is provided, and the analysis is performed based on the discrepancy between the time-related information regarding the time used in the analysis device and the time-related information regarding the time output from the second clock. determining the timing to perform predetermined processing regarding the device;
Processing equipment. An analysis system comprising: an analysis device that has a first clock and executes an analysis regarding particulate matter; and a processing device that has a second clock independent of the first clock and executes a predetermined process related to the analysis device. An analysis method in which
a step in which the analyzer performs an analysis regarding the particulate matter according to the time output from a first clock;
The processing device performs the predetermined process based on a difference obtained from a comparison result between time-related information related to the time used by the analysis device and time-related information related to the time output from the second clock. a step of determining when to execute;
An analytical method comprising: an analyzer that has a first clock and performs analysis regarding particulate matter according to the time output from the first clock; and a second clock that is independent of the first clock and performs predetermined processing regarding the analyzer. A program that causes the processing device to execute an analysis method in an analysis system comprising:
The analysis method is
Determining the timing to execute the predetermined process based on a difference obtained from a comparison result between time-related information related to the time used by the analysis device and time-related information related to the time output from the second clock. having a step of
program.

Images