WO2022085468A1 - Analysis system, processing device, analysis method, and program - Google Patents

Abstract

This invention minimizes the influence of there being deviation in the times of day of a plurality of devices included in an analysis system and it being possible that the time of day output by a specific device will be unchangeable. This 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 a time of day 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 timestamp including information about the time of day used by the analysis device (AN1) and a timestamp relating to the time of day output from the internal clock (LCLK1).

Description

Analytical systems, processing equipment, analytical methods, and programs

The present invention relates to an analysis system for analyzing particulate matter, a processing device for executing a predetermined process for the analysis device of the analysis system, and a method for analyzing particulate matter by the analysis system.

In recent years, particulate matter in the atmosphere (for example, 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 that purpose, methods and devices for estimating the source of particulate matter have been developed. There is.
For example, an analysis system is known in which a plurality of analyzers for analyzing particulate matter are arranged around a source and the analysis data of the particulate matter acquired by each analyzer is transmitted to a database server (for example,). , Patent Document 1).

International Publication No. 2018/11146

In an analysis system composed of a plurality of devices, each device has its own clock, and the timing for executing various processes is determined based on the time output from the clock. If each device has its own clock, time lag may occur between multiple devices included in the analysis system.

For example, when a process of acquiring data obtained at a predetermined time in one device is executed by the other device and a time difference occurs between these devices, for example, data at a certain time is obtained in the other device. The device may not be available.

However, a particular device (eg, an analyzer) in an analytical system can affect the operation of that particular device, so for example, the time used by that device may be set to the time of another device. It may not be possible to make changes to match.

An object of the present invention is to minimize the effect that may occur due to the possibility that the time may be different between a plurality of devices included in the analysis system and that the time output in a specific device may not be changed. To be.

Hereinafter, a plurality of aspects will be described as means for solving the problem. These aspects can be arbitrarily combined as needed.
The analysis system according to the seemingly relevant aspect of the present invention includes an analysis device and a processing device.
The analyzer performs analysis on particulate matter according to the time output from the first clock.
The processing device has a second clock independent of the first clock, and the deviation obtained from the comparison result between the time-related information regarding the time used in the analyzer and the time-related information regarding the time output from the second clock. A predetermined process related to the analyzer is executed based on the above.

Since the processing device executes predetermined processing related to the analyzer based on the difference between the time-related information regarding the time used in the analyzer and the time-related information regarding the time output from the second clock, the analysis system is tentatively used. Even if there is a possibility that the time output in the analyzer cannot be changed due to a time lag between the analyzer and the processing device included in the above, the effect on the execution of the predetermined processing in the processing device. May be minimized.

The processing apparatus may execute the collection of analytical data regarding particulate matter acquired by the analyzer at predetermined time intervals as a predetermined processing.
As a result, even if there is a possibility that the time is different between the analyzer and the processing device and the time output by the analyzer cannot be changed, the effect of this time difference is minimized for analysis. Since data can be collected, it may be possible to reduce the possibility of data loss if analysis data cannot be obtained.

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

The processing device determines the time difference between the time used by the analyzer 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. As a result, there is a possibility that the time difference that may occur between the time used in the analyzer and the time of the second clock can be concretely grasped.

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

The analysis system may further include a server. The server associates the analysis data collected by the processing device with the time lag calculated by the processing device and registers them in the database. As a result, even if the time stamp acquired together with the analysis result is different for each analyzer, the acquired analysis result may be recognized as the analysis result at the same time.

The processing device may determine the timing to execute a predetermined process based on the difference between the time-related information regarding the time used in the analyzer and the time-related information regarding the time output from the second clock. As a result, even if the time is different between the analyzer included in the analysis system and the processing device and the time output by the analysis device may not be changed, the predetermined processing in the processing device may not be possible. It may be possible to minimize the impact on the execution of.

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

The analysis system may further include a position information receiver that acquires position information indicating the position of the analyzer.
In this case, if the position shown in the position information acquired by the location information receiver when the analysis data is acquired is within a predetermined allowable range from the specific analysis point, the analysis data is acquired at the specific analysis point. It may be classified as the data.
As a result, even if the position shown in the position information acquired by the position information receiver deviates slightly from the predetermined analysis point, there is a possibility that the analysis data can be appropriately classified for each analysis point. ..

If the position of the analyzer cannot be specified from the position information acquired by the location information receiver when the analysis data is acquired, the analysis data is classified as unclassified and the analysis point from which the data was acquired is unknown and retained. May be done. This may prevent valuable analytical data from being lost as unclassified.

The analysis data classified as unclassified may be reclassified as analysis data acquired at any of a plurality of analysis points. This has the potential to rescue valuable analytical data as classified data.

The processing apparatus according to another aspect of the present invention is a processing apparatus that executes a predetermined process relating to the analyzer. The analyzer performs analysis on particulate matter according to the time output from the first clock.
The processing device has a second clock independent of the first clock, and analyzes based on the difference between the time-related information regarding the time used in the analyzer and the time-related information regarding the time output from the second clock. Performs certain processes related to the device.
As a result, even if the time is different between the analyzer included in the analysis system and the processing device and the time output by the analysis device may not be changed, the predetermined processing in the processing device may not be possible. It may be possible to minimize the impact on the execution of.

The analysis method according to still another aspect of the present invention has an analyzer having a first clock to perform analysis on particulate matter, and a second clock independent of the first clock to perform predetermined processing on the analyzer. It is an analysis method in an analysis system including a processing device for executing the above. The analysis method comprises the following steps.
◎ A step in which the analyzer performs an analysis on particulate matter according to the time output from the first clock.
◎ A step in which the processing device executes a predetermined process based on the difference between the time-related information related to the time used in the analyzer and the time-related information related to the time output from the second clock.
As a result, even if the time is different between the analyzer included in the analysis system and the processing device and the time output by the analysis device may not be changed, the predetermined processing in the processing device may not be possible. It may be possible to minimize the impact on execution.

The program according to still another aspect of the present invention includes an analyzer that has a first clock and performs analysis on particulate matter according to the time output from the first clock, and a second clock that is independent of the first clock. It is a program that causes a 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 comprises the following steps:
◎ A step to execute a predetermined process based on the difference between the time-related information used in the analyzer and the time-related information output from the second clock.
As a result, even if the time is different between the analyzer included in the analysis system and the processing device and the time output by the analysis device may not be changed, the predetermined processing in the processing device may not be possible. It may be possible to minimize the impact on execution.

Even if there is a possibility that the time is different between the analyzer included in the analysis system and the processing device and the time output by the analysis device and / or the processing device cannot be adjusted, the predetermined time in the processing device is predetermined. It may be possible to minimize the impact on the execution of processing.

The figure which shows the structural example of the environmental measurement system which is the object of this invention. The figure which shows the structural example of the analyzer used in FIG. The figure which shows the structural example of this invention. The figure which shows the flow of the process which is peculiar to this invention with respect to the structure of this invention shown in FIG. FIG. 3 is a diagram showing an example of a method of inputting a definition of a measurement point in particular in the process peculiar to the present invention shown in FIG. FIG. 3 is a diagram showing a process of classifying analysis results for each measurement point in the process peculiar to the present invention shown in FIG. FIG. 6 is a diagram showing an example of a user interface screen used when, for example, manually processing, in a process of reclassifying unclassified analysis results, which is a process peculiar to the present invention shown in FIG. The figure which showed the example of the environmental measurement monitoring screen of a multipoint realized by this invention.

1. 1. First Embodiment Hereinafter, the processing method peculiar to the present invention will be described in detail with reference to the drawings. 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 is typically composed of a mobile environment measurement system (MST1), a wide area communication network (WAN1), a server (SV1), and a user terminal (UPC1). Of these, the mobile environment measurement system (MST1) includes a plurality of analyzers (AN1 to AN3), data acquisition devices (LG1), position information receivers (GPS1), and them mounted on the mobile means (VE1). It is composed of a communication network (NW1) connecting the devices of.

In the above, the plurality of analyzers AN1 to AN3 of the mobile environment measurement system MST1, the data collection device LG1, and the position information receiver GPS1 form one closed network by the communication network NW1, and the mobile environment measurement is performed. The system MST1, the server SV1, and the user terminal UPC1 are connected to the wide area communication network WAN1, but the present invention is not limited to this.
For example, among the mobile environment measurement system MST1, a plurality of analyzers AN1 to AN3 and a location information receiver GPS1 are configured by a closed network, and the closed network (a device constituting the) and a data collection device LG1 , The server SV1 and the user terminal UPC1 may be connected to the wide area communication network WAN1.
In addition, the mobile environment measurement system MST1, the server SV1, and the user terminal UPC1 may all form one closed network.
Further, the mobile environment measurement system MST1 and the server SV1 may form one closed network, and the closed network and the user terminal UPC1 may be connected to the wide area communication network WAN1. Further, the mobile environment measurement system MST1 and the user terminal UPC1 may form one closed network, and the closed network and the server SV1 may be connected to the wide area communication network WAN1.
Which device is included in which closed network 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 a preset measurement point (MP1 to MP7) in the measurement target area (MF1) to perform environment measurement based on a process specific to the present invention described later. , The measurement results are aggregated in the server (SV1) via the wide area communication network (WAN1). The server (SV1) stores the analysis results collected in this way in the database in the SV1 and, in response to a request from the user terminal (UPC1), tells the user the mass concentration of pollutants in the air, etc. The time change of is displayed in a graph or the like.

Next, a specific configuration of the analyzer AN1 will be described with reference to FIG. FIG. 2 is a diagram showing the configuration of the first analyzer.
The analyzer AN1 includes a collection filter 11, a collection unit 13, a first analyzer SAN1, a second analyzer SAN2, and a control unit 19.

The collection filter 11 is formed of, for example, a porous fluororesin-based material having pores capable of collecting particulate matter PM on a reinforcing layer formed of a non-woven fabric of a polymer material (polyethylene or the like). It is a tape-shaped member formed by laminating a collection layer (sometimes called a collection area).
Particulate matter PM is used, for example, for combustion processes in factories, brakes for various transportation devices (automobiles, 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 micrometer generated by the engine.

As the collection filter 11, for example, another filter such as a one-layer glass filter and a one-layer fluororesin-based material filter can be used.
In the present embodiment, the collection filter 11 winds the collection filter 11 sent out from the delivery reel 11a by the rotation of the take-up reel 11b, so that the collection filter 11 is wound in the length direction (direction indicated by the thick arrow in FIG. 2). You can move.

The collection unit 13 is provided so as to correspond to the first position P1 in the length direction of the collection filter 11. The collection unit 13 sprays, for example, the atmosphere A sucked by the suction force of the suction port 35 connected to the suction pump 31 from the discharge port 33 onto the collection area existing at the first position P1 of the collection filter 11. Then, the particulate matter PM contained in the atmosphere A is collected in the collection area.

The first analyzer SAN1 measures the amount of particulate matter PM collected by the collection filter 11. Specifically, the first analyzer SAN1 has 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 region of the collection filter 11 arranged at the first position P1. The β-radioactive source 51 is, for example, a β-ray source using carbon-14 ( ¹⁴ C).
The β-ray detector 53 is provided so as to face the β-ray source 51 at the suction port 35 of the collection unit 13, and the β-rays transmitted through the particulate matter PM collected in the collection region of the first position P1. Measure the strength. The β-ray detector 53 is, for example, a photomultiplier tube equipped with a scintillator. The collected amount (mass concentration) of the particulate matter PM is calculated based on the intensity of β rays measured by the β ray detector 53.

The second analyzer SAN2 is provided so as to correspond to the second position P2 in the length direction of the collection filter 11 and measures the data regarding the fluorescent X-rays generated from the particulate matter PM present at the second position P2. .. Specifically, the second analyzer SAN2 has an X-ray source 71 and a detector 73.
The X-ray source 71 irradiates the particulate matter PM existing at the second position P2 with X-rays. The X-ray source 71 is a device that generates X-rays by irradiating a metal such as palladium with an electron beam. The detector 73 detects fluorescent X-rays generated from the 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 the particulate matter PM by using the first analyzer SAN1 provided at the first position P1, and the second analysis provided at the second position P2. In order to acquire the elemental analysis result using the vessel SAN2, the take-up reel 11b is controlled to move the collection filter 11. Specifically, every time the control unit 19 finishes collecting the particulate matter PM by the collecting unit 13 and completes the measurement of the collected amount, the collecting region (particulate matter PM) of the collecting filter 11 is set. The collected region) is moved from the first position P1 provided with the first analyzer SAN1 toward the second position P2 provided with the second analyzer SAN2.

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, when the distance from the first position P1 to the second position P2 is set to DIS, the amount of movement of the collection area per time can be adjusted to DIS / n (n: positive integer). That is, in order to move from the first position P1 to the second position P2, it can be set that n movements are required by the distance of DIS / n.

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

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

FIG. 3 illustrates the internal functional block configurations of the analyzers AN1 to AN3, the data acquisition devices LG1, the server SV1, and the user terminal UPC1 that constitute the mobile environment measurement system MST1 of the present invention of FIG. It is a figure. Of these, the analyzer 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 related to the processing peculiar to the present invention. It is composed of an instrument (SAN1), a second analyzer (SAN2), and databases (SDA1 and SDA2) for storing the analysis results.

Similarly, the data collection device LG1 (an example of a processing device) includes a communication network interface (LNIF1), a user interface (LUIF1), and an internal clock (LCLK1) (second clock) related to the processing peculiar to the present invention. (Example), a program code (LP1) that realizes processing peculiar to the present invention, a processor and memory (LCPUMEM1) that execute the program code, analysis results from an analyzer AN1, etc., and a position information receiver (GPS1). It is composed of a database (LDB1) that temporarily stores the position information from the above, and a database (LDB2) that holds the time shift information for each analyzer peculiar to the present invention.
The function of the data acquisition device LG1 described in the first embodiment may be incorporated into the server SV1 so that the analysis device of the mobile environment measurement system MST1 and the server SV1 can directly communicate with each other. In this case, the server SV1 is an example of the processing device.

Further, the server SV1 includes a communication network interface (SNIF1), a user interface (SUIF1), an internal clock (SCLK1), a program code (SP1) that realizes processing peculiar to the present invention, a processor and a memory (SP1) that execute the program code. SCPUMEM1), a database (SDB1 ~) that classifies and stores analysis results for each of the above-mentioned measurement points according to the position information from the data collection device LG1, and further, the position information from the data collection device LG1 is described later for various reasons. It is composed of a database (SDBX) peculiar to the present invention that stores analysis results that could not be classified into any measurement point when it was out of the set range. Further, as will be described later, a measurement point definition database (MA1) peculiar to the present invention, which defines the position information of the measurement points and the permissible range thereof, is also stored in the server SV1.

Further, the user terminal UPC1 is derived from 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 a memory (UPCPUMEM1) that execute the program code. It is composed.

These analyzer AN1, data acquisition device LG1, server SV1, and user terminal UPC1 can communicate with each other via the wide area communication network WAN1. In this embodiment, for the sake of simplification of the description, the wide area communication network WAN1 and the communication network NW1 in the data collection device LG1 are distinguished, but all the devices of the analyzer AN1 to the user terminal UPC1 are in the same communication network NW1. It does not matter if it exists in. Similarly, it is possible to configure all devices to be connected to the wide area communication network WAN1. Since the details of the wide area communication network WAN1 and the communication network NW1 are known to those in the same industry, detailed description 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 inside, but each internal clock is a method peculiar to the present invention described later. The feature is that the time matching of the analysis results from a plurality of analyzers is maintained by the server SV1 even if the time is not forcibly synchronized by NTP or the like. Further, the position information received by the position information receiver GPS1 mounted on the mobile environment measurement system MST1, the position information for each measurement point preset in the measurement point definition database MA1 in the server SV1, and the allowable range thereof. It is characterized in that the results from the analyzer are automatically classified for each measurement point according to the definition. Furthermore, even if the location information receiver GPS1 does not output normal location information due to some factors such as the surrounding environment, by providing a mechanism to collect the analysis results later, a system that can utilize valuable measurement results without waste. Is characterized in that it is feasible. Hereinafter, the processing peculiar to the present invention implemented in order to realize these features will be described with reference to FIG.

Before starting the process described below, 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. And the time of the internal clock of the analyzer AN2 may be synchronized with the time of the internal clock of the analyzer AN3.
This time synchronization can be performed, for example, manually using the user interface of each device (for example, the graphical user interface INF3 shown in FIG. 9 described later), and each internal clock can be set as an accurate reference clock. It can be executed by using NTP (Network Time Protocol) that synchronizes with.

In the analyzer AN1, first, various processes necessary for starting the analysis are executed by the subroutine or step AP10. Since the details of the start processing have already been described in the description of FIG. 2, they will be omitted here. Next, in the subroutine or step AP11, the measurement of the particulate matter PM is completed by the first analyzer SAN1 and waits for the analysis result to be finalized. In the subroutine or step AP13, after the analysis result is confirmed, the internal clock ACLK1 is accessed and the time when the analysis is completed is acquired as a time stamp. Then, in the subroutine or step AP12, a time stamp is added to the analysis result and output to the data acquisition device LG1 (SDA1).

The time stamp is time-related information including information related to the time used in the analyzer AN1, and is the time and time information determined based on a common agreement with the server SV1. As the time stamp, for example, a time that serves as a delimiter such as the start / end of various processes executed by the analyzer AN1 can be used.

As the time stamp, typically, the first analyzer SAN1 and the second analyzer SAN2 have their respective measurement start times or measurement end times (for example, the acquisition of β-ray intensity by the first analyzer SAN1). The start time or the end time), the collection time (for example, the time when the collection of the particulate matter PM to the collection filter 11 is started or the end time), and the measurement completion time (for example, the analysis result). The time when the calculation is completed, the time when the calculation of the analysis result is completed), etc. can be used. Here, the case of using the collection time and the measurement completion time will be described as an example. In addition to this, the collection time, the measurement completion time alone, or the time information itself of the internal clocks of the first analyzer SAN1 and the second analyzer SAN2 can be used. Further, as described later, for the purpose of correcting the time accuracy when stored in the database of the server SV1, the time shift information detected by the data collection device LG1 may be added to the time stamp as additional information. not.

Further, for example, the time of the internal clock LCLK1 at the timing when the data acquisition device LG1 acquires the analysis result or the like can be added to obtain a new time stamp.
In short, any time and time information may be used for the time stamp as long as there is an agreement common to the server SV1. In the following description, for the sake of simplification of the description, the case of the measurement completion time will be described as an example.

When there are a plurality of analyzers in the analyzer AN1, the processing of the subroutine or steps AP11 to AP13 is executed for each analyzer. The execution method can be performed in parallel, but the details are omitted here because they are known to those in the same industry. FIG. 4 is a process in which the analyzer AN1 also has the second analyzer SAN2.

The analyzer AN1 and the data acquisition device LG1 are interconnected by a communication network NW1 (typically Ethernet®) and have a common protocol (typically Modbus®) 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, RC232C, RS485 and the like can be used in addition to Ethernet (registered trademark). Also, protocols other than Modbus® can be used. The details of these networks and protocols are known to the same operator, and detailed description thereof will be omitted here. Any interface or protocol may be used as long as it is a common interface or protocol.

Next, the above time stamp is first read by the subroutine or step LP10 in the data acquisition device LG1. Further, in the subroutine or step LP11, from the difference between the internal clock LCLK1 of the data acquisition device LG1 itself and the measurement completion time stored in the acquired time stamp, the inside of the analyzer AN1 as seen from its own internal clock LCLK1. The relative deviation of the time of the clock ACLK1 is detected. The subroutine or step LP13 checks whether or not the detected time deviation value has changed, and if there is a change, the time deviation value for each analyzer held in the database LDB2 is updated. In the time lag detected in this way, the time interval for reading the time stamp of the subroutine or step LP10 and the time for loop execution of the subroutine or steps LP10 to LP13 become error factors. However, typically, the read interval of the subroutine or step KP10 can be set to about 1 second interval, and the time required to execute the loops LP10 to LP13 of the subroutine or step is on the order of several tens of milliseconds. The time is sufficiently short compared to the typical measurement time required for the analyzers SAN1 and SAN2, which is 30 minutes to several hours, and the error is within a range where there is no problem in practical use. In this way, the data acquisition device LG1 detects the time lag of the analyzer AN1. What is important in the present invention is the detection of relative time lag. Therefore, as described above, when the time stamp is other than the collection time and the measurement completion time, the deviation may be calculated by a combination in which a relative time deviation can be detected. Various time information and combinations thereof are possible.

Next, according to the time shift information for each analyzer stored in the database LDB2, the time shift of the analyzer AN1 or the like is corrected by the subroutine or step LP12, and then the time when the analysis result is output (scheduled output time). Predict one example). When the scheduled time when the analysis result is output is reached, the analysis result is read by the next subroutine or step LP14. If there are a plurality of analysis results, the reading process is repeated until all the analysis results have been read.

Further, the position information of the mobile environment measurement system MST1 itself is acquired from the position information receiver GPS1 connected to the data acquisition device LG1 via the communication network NW1 by the subroutine or step LP15. As the position information receiver GPS1, typically, a GPS (Global Positioning System) or the like can be used. Not limited to the GPS receiver, other types can be used as long as the coordinate information of the so-called geodetic system represented by WGS84 (World Geodetic System) can be output.

Next, in the subroutine or step LP16, in addition to the analysis result and the time stamp 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. When there are a plurality of analyzers, the above subroutines or the processes of steps LP10 to LP16 are repeated to construct a database using the ID information of the analyzers as a key.

In the server SV1, the ID, analysis result, time stamp, and location information of the analysis device aggregated in the data collection device LG1 are read by the subroutine or step SP10 via the wide area communication network WAN1. After the reading is completed, the subroutine or step SP11 automatically determines the measurement point and executes the analysis result classification process. Hereinafter, the content of the present process peculiar to the present invention will be described with reference to FIG. 5 in which the content of the subroutine or step SP11 is described in detail. First, the position information received by the position information receiver GPS1 is taken out by the subroutine or step SP20, and the measurement point definition database MA1 is accessed to read the registered measurement point definition. The definition input to the measurement point definition database MA1 is realized by the subroutine or step SP12. Details of the subroutine or step SP12 will be described later. Next, the subroutine or step SP21 calculates the distance to each measurement point, and the subroutine or step SP22 determines whether or not the distance is within the allowable range defined for each measurement point. If it is within the permissible range, the data such as the analysis result is interpreted as the data obtained at the measurement point by the subroutine or step SP24, and is registered in the databases SDB1 to classified for each measurement point. When registering the analysis result in the database SDB1, as will be described later, the time information is registered based on the information stored in the time stamp by the process peculiar to the present invention.

On the other hand, if the determination result is out of the permissible range, it is confirmed by the subroutine or step SP23 whether the determination has been made at all the measurement points, and if the determination has been made, the data is not classified into any of the measurement points. It is stored in the measurement point unclassified database SDBX, which is a database peculiar to the invention. If there are still measurement points for which determination has not been completed, the measurement points to be determined are changed in the subroutine or step SP26, and the processing of the subroutine or step SP20 or less is repeated.

In general, the position information output from the GPS receiver, which is an example of the position information receiver GPS1, is constantly fluctuating within a certain error range, typically an error range of several meters. The reason why the position information from the GPS receiver fluctuates is known to those in the same industry and will not be described in detail, but it is caused by changes in the surrounding environment, changes in the ionospheric conditions, and the like. Therefore, even if the measurement is performed at the same measurement points MP1 to MP7 each time, the position information output of the position information receiver GPS1 may always fluctuate by about several meters. Further, in actual operation, the transportation means VE1 is typically an automobile such as a truck, and even if it is said that the measurement is performed at the same point, the measurement point is actually measured at a place deviated by several meters. It is possible that it will end up. On the other hand, in the environmental measurement system which is the target of the present invention, there is almost no problem in practical use even if the measurement points differ by several meters. For the above reasons, if it is within a range of several meters, it is necessary to treat it as data at the same measurement point.
For example, in the technology used in the navigation system installed in a car, it is assumed that the car basically moves on the road after comparing the map data and the reception position information and adding the speed information. Based on this, the fluctuating GPS position information is corrected. However, in the mobile environment measurement system targeted by the present invention, it is unlikely that the system will move during measurement. Also, the measurement point is not always on the road. Further, most of the measurement target area MF1 is an area where map data is not prepared, such as in a factory. Therefore, it is difficult to realize the target mobile environment measurement system of the present invention by the above technique.

In order to realize a mobile environment measurement system, in the present invention, the measurement point definition database MA1, the subroutine or steps SP11 to SP12 are implemented, the allowable range is defined for each measurement point, and the subroutine or step SP11 defines the allowable range. By determining whether the measurement points are within the allowable range based on the above, automatic classification of data to the measurement points matching the target is realized. FIG. 6 shows an example of implementing a subroutine or step SP12 peculiar to the present invention that defines a measurement point. For each measurement point, the user manually inputs and sets the latitude, longitude, and allowable range, for example.

Further, the present invention is characterized in that by implementing the measurement point unclassified database SDBX and the unclassified result reclassification subroutine or step SP13, a means for relieving valuable measurement data later is provided. Although it is well known to those in the same industry who have used GPS receivers, GPS receivers may not be able to receive position information from GPS satellites well due to the influence of the surrounding environment in addition to the above-mentioned error fluctuations. be. Therefore, by implementing the measurement point unclassified database SDBX and the unclassified result reclassification subroutine or step SP13, the valuable analysis results measured over a long period of time become unclassified at the measurement points and are discarded. It is possible to avoid being killed.

FIG. 7 shows an implementation example of the unclassified result reclassification subroutine or step SP13 implemented for the purpose of such data relief. 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 for manual classification and the period RTR1 are set, and the measurement point (RMP1) to which the unclassified data for that period belongs is selected. In this way, it is characterized in that valuable data can be collected later.

The present invention is characterized in that when the analysis result is registered in the database, the measurement time information of the analyzer is taken out from the time stamp and the analysis result is registered in the database with the time information. For example, in the description so far, the collection time information and the measurement completion time of each analyzer are added as time stamps. In such a case, the collection time may be taken out as it is and stored as the time of the analysis result of the database. In addition to this, the time difference detected by the data acquisition device LG1 is added to the time stamp, and when the time difference is stored in the database, the time difference of the analyzer AN1 is corrected by software processing (SP1). It is also possible to improve the time accuracy by using it to correct the time deviation. Further, 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 by general NTP. By using it together with NTP, it is possible to realize highly accurate time accuracy at the time stored in the database.

When the time deviation detected by the data collection device LG1 is added to the time stamp, the server SV1 associates the analysis result acquired from the data collection device LG1 with the time deviation added to the time stamp to the database. You may register. Further, the server SV1 may register the time when the data collecting device LG1 collects the analysis result from the analysis device in the database in addition to the analysis result and the time difference. Further, the server SV1 may consider the time deviation associated with the analysis result and register the analysis result registered in association with the time deviation in the database as the analysis result acquired at the same time. As a result, even if the time stamp acquired together with the analysis result is different for each analyzer, the acquired analysis result can be recognized as the analysis result at the same time.

FIG. 8 shows an example of measurement results actually measured by the environmental measurement system realized by the present invention. The graphical user interface INF3 shown in FIG. 8 has a graph display unit DIS1 that displays the time change of the analysis result as a graph, a type display unit DIS2 that displays the type of the analysis result, and a point display that displays the measurement point from which the analysis result has been acquired. It has a unit DIS3, an object display unit DIS4 for displaying the analysis target in the analysis result, and a display period display unit DIS5 for displaying the display period of the analysis result.

As explained in the background technology, there is a long-awaited market for a measurement system that can easily and inexpensively realize environmental measurement. However, with the current analysis technology, it is difficult to realize simultaneous measurement of multiple elements in the atmosphere, their concentrations, wind direction, wind speed, etc. with a single analyzer with a single analyzer. .. Therefore, a measurement system composed of a plurality of analyzers is required, and it is necessary to manually collect the analysis results from the plurality of analyzers. In addition to this, in applications such as estimating the source of pollutants, it is important to align the time axes of the data obtained by multiple analyzers and aggregate them. However, each of the plurality of analyzers has an independent internal clock, and there is no mechanism for synchronizing the time in particular. For this reason, if the measurement is performed continuously for several days, as a result, the time information of each analyzer will be deviated, and as a result, it will be very difficult to perform the aggregation work of aligning the time axis of the data. In some cases, due to a time lag, for example, when the time of the analyzer is delayed, there may be a problem that the analysis result does not exist from the specific analyzer in a specific time zone.

Generally, a clock built in an electronic device is realized by a semiconductor integrated circuit called RTC (Real Time Clock). Even RTCs used in industrial PCs may have a deviation of several minutes in one month when used in a constant ambient temperature of 25 ° C. On the other hand, in environmental measurement, one measurement lasts for several weeks. Further, the analysis result is output from the analyzer in units of 30 minutes, 1 hour, and 2 hours, but if there is a deviation of several minutes between the analyzer and the receiving side, in the worst case, in one hour. There is an analysis result, but there is a data loss such as no analysis result in the next hour. Therefore, even if the deviation is several minutes, it becomes a problem for the measurement system.

The easiest way to solve this problem is to replace the RTC chip with a more accurate chip, but such a high precision RTC chip is expensive and is an analyzer, i.e. a measurement system. This is not a preferable measure because it leads to an increase in cost. Furthermore, since the time accuracy of the RTC chip strongly depends on the ambient temperature conditions, it is necessary to keep the ambient temperature constant in some auxiliary equipment / facility, and not only the introduction cost but also the management and operation cost jumps up. It ends up.

In order to solve the problems caused by the lack of accuracy and temperature dependence of the RTC chip, 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, the device having the reference clock is used as the NTP server, the other PCs and smartphones are used as the NTP client, and the internal clock on the client side is forcibly set to the clock on the NTP server side. However, in the analyzers that make up this measurement system, the time information of the internal clock is used for control processing that requires precise internal processing, and as a result, changing the time during measurement adversely affects the measurement itself. There is a fear. Therefore, it is necessary to provide a method for detecting and correcting the time difference 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 capable of measuring multiple points at low cost. For example, in order to control environmental pollutants, the environment is continuously measured at multiple measurement points, and the amount of pollutants at each measurement point and the wind direction and speed at that time are taken into consideration, and the source of the pollutants. It is essential to identify. However, the current environmental measurement system requires expensive analyzers for the measurement points. Due to the introduction cost of the entire measurement system, it is practically difficult to measure at multiple points. There is a need to provide an inexpensive and feasible method.

The system according to the present invention described above solves the above-mentioned problems and automatically handles measurement data even if the time shift occurs in a plurality of analyzers without manually editing and organizing the measurement data. be able to. Further, it is possible to provide a method for realizing an environmental measurement system at a plurality of points that can be used for estimating the source of environmental pollutants without introducing a plurality of expensive analyzers.

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

(A) For example, an upper limit value and / or a lower limit value are set for the data included in the analysis result (for example, the content of each element), and a warning is notified when the upper limit value / lower limit value is exceeded. May be good.

(B) For example, the time when the acquisition of the β-ray intensity of the specific particulate matter PM is completed by the first analyzer SAN1 and the fluorescence X of the specific particulate matter PM by the second analyzer SAN2. Based on the difference (called a delay time) from the time when the acquisition of the line data is completed, the time required for the collection area of the collection filter 11 from the first position P1 to the second position P2 can be calculated.

(C) When the movement amount of the collection area of the collection filter 11 in the analyzer AN1 is DIS / n, the delay time is divided by the collection time of the particulate matter PM to obtain the above-mentioned ". The "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. The collection time can be calculated, for example, from the difference between the time when the collection of the particulate matter PM is started and the time when the collection is finished.

(D) 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 analyzer 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 time stamp containing information about the time when the calculation of the analysis result is completed and adds it to the analysis data, the time stamp held by the data collection device LG1 is updated at a predetermined cycle. Check if it is.
When the data collection device LG1 recognizes that the calculation of the new analysis data is completed when the time stamp held by the analysis device is updated, and when it detects that the time stamp has been updated, the new analysis data and the new analysis data are used. You can collect the time stamp attached to it.

(E) The time stamp may include not only information on the time used in the analyzer AN1 and the data acquisition device LG1, but also information on the time used in the analyzers AN2 and AN3.

(F) The mobile environment measurement system MST1 of the first embodiment includes three analysis devices AN1 to AN3, but more devices such as analysis devices may be included in the system. Even in this case, according to the processing method of the present invention, it is possible to detect the time lag for each analyzer and secure the time system of each analyzer.

(G) When a difference of a predetermined time or more (for example, a difference of 1 minute or more) occurs between the time of the clock provided in the analyzer and the time of the clock provided in the data collecting device LG1, the data collecting device LG1 May notify the environment measurement system server SV1 of a warning that a difference of a predetermined time or more has occurred between the time of the clock provided in the analyzer and the time of the clock provided in the data collection device LG1. This warning notification can be realized, for example, by sending a warning mail from the data collection device LG1 to the environment measurement system server SV. As a result, recognizing that there is a difference between the time of the clock provided in the analyzer and the time of the clock provided in the data collecting device LG1, the clock of the analyzer and / or the clock of the data collecting device LG1 is adjusted. can.

AN1, AN2, AN3: Analyzer GPS1: Position information receiver MST1: Mobile environment measurement system LG1: Data acquisition device NW1: Communication network VE1: MST1 moving means MP1 that connects an analyzer such as AN1 and LG1 in MST1 ~ MP7: Measurement point MF1: Measurement target 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 radiation source 53: β-ray detector 71: X-ray source 73: Detector ANIF1: AN1 communication network interface AUIF1: AN1 user interface ACLK1: AN1 internal clock SAN1: AN1 built-in first analyzer SAN2: AN1 built-in first Database for temporarily storing analysis results and time stamps of analyzer SDA1: SAN1 of 2 SDA2: Database for temporarily storing analysis results and time stamps of SAN2 LNIF1: Communication network interface of LG1 LUIF1: User interface of LG1 LCLK1 : LG1 internal clock LCPUMEM1: A microprocessor that executes control processing of LG1, memory LDB1: Analysis results of AN1 and the like collected from MST1, time stamps, and a database LDB2 that temporarily stores the position information of MST1: Software LP to LP15 that execute the processing peculiar to the present invention in the database LP1: LG1 that stores the time lag of the analyzer such as AN1: The subroutine or step SNIF1 constituting the software processing LP1 peculiar to the present invention. : SV1 communication network interface SUIN1: SV1 user interface SCLK1: SV1 internal clock SCPUMEM1: Microprocessor that executes SV1 communication, database control, display processing, etc., and analysis results and time stamps collected from memory SDB1: LG1. From the database SDB2: LG1 that stores the data related only to the measurement point 1, the analysis result and time stamp collected from the database SDB3: LG1 that stores the data related only to the measurement point 2. Therefore, the database SP1: SV1 that stores the data related only to the measurement point 3 and stores the data that cannot be classified into any measurement by the analysis result and time stamp collected from LG1 performs the processing peculiar to the present invention. Software to be executed SP10 to SP15: Subordinate or step MA constituting software processing SP1 peculiar to the present invention 1: A database containing a measurement point definition defined in SP12 which is a subroutine or step peculiar to the present invention. SP20 to SP26: Subordinate or step constituting the software process SP11 peculiar to the present invention RUI 1: Software process peculiar to the present invention: User interface screen example when the reclassification process SP13 is manually realized, for example RST1: In the present invention Screen for selecting the environment measurement system to be the target of the reclassification process SP13 in the unique user interface RUI1 RMP1: Screen for setting the period for the reclassification target of the reclassification process SP13 in the user interface RUI1 peculiar to the present invention RTR1: Screen for selecting the measurement point of the reclassification destination of the reclassification process SP13 in the user interface RUI1 peculiar to the present invention B1: Button for executing reclassification according to the settings selected in the user interface RUI1 peculiar to the present invention INF3: The present invention Screen example of a graph that displays the results of the analyzer in the measurement system realized by DIS1: Graph display unit DIS2: Type display unit DIS3: Point display unit DIS4: Target display unit DIS5: Display period display unit PM: Particle-like material

Claims (14)

1. An analyzer that performs analysis on particulate matter according to the time output from the first clock,
   It has a second clock independent of the first clock, and the deviation obtained from the comparison result between the time-related information regarding the time used in the analyzer and the time-related information regarding the time output from the second clock. Based on the processing device that executes a predetermined process related to the analyzer,
   Has an analysis system.
2. The analysis system according to claim 1, wherein the processing apparatus executes the collection of analysis data regarding the particulate matter acquired by the analysis apparatus at predetermined time intervals as the predetermined processing.
3. The analysis system according to claim 2, wherein the analysis device adds the time-related information to the analysis data and outputs the time-related information to the processing device.
4. The processing device outputs the time used in the analyzer and the time 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 from the time.
5. The processing device calculates the scheduled output time at which the analysis device outputs the analysis data, and the processing device calculates the scheduled output time.
   The analysis system according to claim 4, wherein the analysis data is collected from the analyzer at the timing when the time output from the second clock becomes the scheduled output time.
6. The analysis system according to claim 4 or 5, further comprising a server that associates the analysis data collected by the processing device with the time difference calculated by the processing device and registers them in a database.
7. The analysis system according to any one of claims 1 to 6, wherein the processing apparatus determines a timing for executing the predetermined processing based on the deviation.
8. The analyzer can analyze 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 acquired, claim 1 to 1. The analysis system according to any one of 7.
9. A position information receiver for acquiring position information indicating the position of the analyzer is further provided.
   If the position indicated by the position information acquired by the position information receiver when the analysis data is acquired is within a predetermined allowable range from a specific analysis point, the analysis data is acquired at the specific analysis point. The analysis system according to claim 8, which is classified as the data obtained.
10. If the position of the analyzer cannot be specified from the position information acquired by the position information receiver when the analysis data is acquired, the analysis data is classified as unclassified in which the analysis point from which the data was acquired is unknown. The analytical system of claim 9, which is classified and retained.
11. The analysis system according to claim 10, wherein the analysis data classified as unclassified can be reclassified as analysis data acquired at any of the plurality of analysis points.
12. A processing device that executes predetermined processing related to an analyzer that performs analysis on particulate matter according to the time output from the first clock.
    The analysis has a second clock independent of the first clock, and is based on the difference between the time-related information regarding the time used in the analyzer and the time-related information regarding the time output from the second clock. Performs certain processes related to the device,
    Processing equipment.
13. An analysis system including an analyzer having a first clock and performing analysis on particulate matter, and a processing device having a second clock independent of the first clock and performing predetermined processing on the analyzer. It is an analysis method in
    A step in which the analyzer performs an analysis on the particulate matter according to the time output from the first clock.
    The predetermined processing is performed based on the deviation obtained from the comparison result between the time-related information related to the time used in the analyzer and the time-related information related to the time output from the second clock. Steps to perform and
    An analysis method.
14. An analyzer having a first clock and performing analysis on particulate matter according to a time output from the first clock, and a second clock independent of the first clock, performing predetermined processing on the analyzer. It is a program that causes the processing device to execute an analysis method in an analysis system including a processing device to be executed.
    The analysis method is
    It has a step of executing the predetermined process based on the deviation obtained from the comparison result between the time-related information related to the time used in the analyzer and the time-related information related to the time output from the second clock. ,
    program.
    

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