TWI662470B - Method and device for recording time series data - Google Patents

Abstract

The present invention can accurately analyze and verify the events that occur even without recording all the acquired data in the memory. The event occurrence detection unit (15) verifies the evolution related to the value of the actual data recorded in the time series data storage unit (12A), and detects a pre-designated event, and detects the event-related The actual data is specifically event data, and the event data processing section (16) records the event data specified in response to the detection of the occurrence of the event to the time series data storage section (12A).

Description

   Method and device for recording time series data   

The invention relates to a time-series data recording technology for efficiently recording time-series data to a memory with a limited recording capacity.

In recent years, according to the IoT (Internet of Things) and other insights, industrial field devices, such as instruction controllers used in facilities such as factories and buildings, have automatically collected data indicating the status and content of control objects. The importance of functionality increases. Furthermore, by analyzing these data, various usefulnesses such as failure prediction and improvement of yield were also found.

On the other hand, if only simple data collection is performed, the amount of data becomes huge, so there is also a problem that data recording and processing become difficult. Therefore, it is expected that the feature quantity of the data is acquired by the field device, and only the required data is extracted. In order to extract feature quantities, actual data needs to be temporarily recorded. However, field devices are required to be low-cost and miniaturized. Therefore, it is necessary to efficiently record with a limited recording capacity.

Generally, a field device such as an instruction controller is provided with a time-series data recording function that temporarily records time-series data indicating a state of a control object and control content in a memory. As a result, the manager can read the recorded time series data for analysis, and in addition to verifying the state of the control object and the evolution of the control content, he can also verify what kind of control is performed on the event that has occurred.

In the instruction controller (temperature controller) that controls the heater so that the detected temperature detected from the control object becomes the set temperature, the detected temperature (PV value), set temperature (SP value), and Various time-series data such as the operation amount (MV value) obtained from the temperature, and the output current value (CT value) from the heater control actuator based on the operation amount are recorded in the memory. Furthermore, in the case where a higher-order control is performed using a plurality of input variables such as a detected pressure in addition to the detected temperature, or a control output having a plurality of systems, the time series data to be recorded is further increased.

For example, when 32 types of data are recorded every 50 ms in the control cycle, the number of recorded data is about 5.5 million in 24 hours. Here, in the case where one piece of data is recorded at a single-precision floating point, the length of the data is 4 bytes. Therefore, a recording capacity of approximately 22 million bytes is required as a whole. Furthermore, field devices may continue to operate for several months. Therefore, it is not realistic to record all the actual data obtained into the memory.

Conventionally, as a technique for efficiently recording time-series data into a memory, a technique has been proposed in which the recording interval of data is made longer than before when the available capacity of the memory is reduced, or when the time-series data is exceeded. In the case of the set reference value, the recording interval is adaptively changed to reduce the number of recorded materials (for example, refer to Patent Document 1). As a result, compared with a case where data is recorded at a certain recording interval, the period during which recording can be performed can be extended without increasing the recording capacity.

Prior art literature

Patent literature

Patent Document 1: Japanese Patent Application Laid-Open No. 2002-112363

Patent Document 2: Japanese Patent Application Laid-Open No. 05-040517

However, in such a conventional technique, the recording interval becomes longer when the available memory capacity decreases or exceeds a set reference value. Therefore, compared with the case where data is recorded at a certain recording interval, The data to be recorded is skipped in the time direction. Therefore, when the recording interval is extended, the possibility of various events such as abnormalities occurring during the time of recording becomes high, so it becomes impossible to record the data when the event occurs, depending on the circumstances. Therefore, even if the recorded time-series data is analyzed later, when useful data is skipped, there is a problem that it is impossible to grasp what kind of change occurred when the event occurred.

Furthermore, when the recording interval is adaptively changed, it is also necessary to record the recording interval together with each material. In particular, the amount of change in the PV value per unit time is extremely important in grasping the characteristics of the control target and the control result. Therefore, in the case of analyzing the recorded time-series data, it is necessary to compare the recording intervals of each data one by one. Therefore, there are problems that the operation becomes extremely complicated and the processing load increases.

The present invention has been made to solve such a problem, and an object thereof is to provide a time-series data record capable of accurately analyzing and verifying an event that has occurred, without recording all the acquired data in a memory.

In order to achieve such an object, the present invention relates to a time series data recording method, which sequentially records the actual data of the time series obtained at a predetermined period to the time series data storage section, and has: an event occurrence detection step, which is verified and recorded in The evolution of the value of the above-mentioned actual data in the above-mentioned time series data storage unit, in the event that a pre-designated event is detected, specifies the actual data related to the above-mentioned event as event data; and event data processing In step, the event data specified corresponding to the occurrence detection of the event is recorded into the time series data storage section.

Furthermore, in a configuration example of the time-series data recording method of the present invention, when the event occurrence detection step specifies the event data, a continuous group of actual data located before and after the occurrence time of the event is specified as the event data. .

Furthermore, in a configuration example of the time series data recording method of the present invention, the event data processing step is to transfer the event data specified in response to the occurrence detection of the event from the time series data storage unit to an event. Data storage department.

Furthermore, in one configuration example of the above-mentioned time-series data recording method of the present invention, it further includes a data reduction step of reducing an actual data set composed of a certain amount of the above-mentioned actual data continuously in a time series to represent these actual data. Feature quantity data of the characteristics; and a recording control step that monitors the available capacity of the above-mentioned time-series data storage unit, and determines whether it is possible to directly record the above-mentioned actual data to the above-mentioned time-series data storage unit when obtaining new actual data, If it can be recorded, the actual data is directly recorded to the time series data storage section. On the other hand, if it cannot be recorded, it is extracted from the actual data that has been recorded in the time series data storage section, in addition to the event data. A certain amount of actual data that is continuous in time series is used as the actual data set, and is reduced by the above-mentioned data reduction step, and the obtained feature amount data is replaced by the actual data of the actual data set and recorded in the time-series data storage unit. And, the new Inter-time-series data record to said data storage unit.

Furthermore, in one configuration example of the time-series data recording method of the present invention, a recording control step is further provided, which monitors the available capacity of the time-series data storage unit, and determines whether the above-mentioned data can be obtained when new actual data is obtained. The actual data is directly recorded in the time series data storage section. If it can be recorded, the actual data is directly recorded in the time series data storage section. On the other hand, if it cannot be recorded, it is already recorded in the time series data storage section. Of the plurality of actual data, after deleting a part of the actual data other than the event data, the new actual data is recorded in the time series data storage section.

Furthermore, the present invention relates to a time-series data recording device that sequentially records actual data of a time-series obtained at a predetermined cycle to a time-series data storage unit. The time-series data recording device includes an event occurrence detection unit that verifies In the evolution related to the value of the above-mentioned actual data recorded in the above-mentioned time-series data storage unit, when a pre-designated event is detected, the actual data related to the above-mentioned events among the actual data is specified as event data; and The event data processing unit records the event data specified in response to the occurrence detection of the event to the time series data storage unit.

According to the present invention, in the event of a pre-designated event, event data is acquired from the buffer area, and actual data is directly recorded into the memory, that is, the acquired data (original data) is directly recorded into the memory. Therefore, even without recording all the actual data obtained into the memory, it is possible to accurately analyze and verify the events that have occurred.

Therefore, it is not necessary to use a large-capacity memory which is a factor that causes cost increase and increase in size, and it is very helpful to find out the cause of the obstacle, the correlation between events, failure prediction, and improve the yield.

10‧‧‧Time series data recording device

11‧‧‧I / F Section

12‧‧‧Memory

12A‧‧‧Time Series Data Storage Department

12B‧‧‧Event Data Storage Department

13‧‧‧Data Reduction Department

14‧‧‧Record Control Department

15‧‧‧ Incident detection department

16‧‧‧ Incident Data Processing Department

17‧‧‧ buffer zone

Ma‧‧‧actual data recording area

Mb‧‧‧ Feature data recording area

Mc‧‧‧Event data recording area

Mn‧‧‧actual data record

Ts‧‧‧ during assembly

P‧‧‧Event

Tp‧‧‧At the time of the incident

Before Ta‧‧‧

Tb‧‧‧ Post-event period

Tc‧‧‧Event correlation period

FIG. 1 is a block diagram showing a configuration of a time-series data recording device.

FIG. 2 is a flowchart showing a data recording process.

FIG. 3 is a flowchart showing a feature quantity data recording process.

FIG. 4 is an explanatory diagram showing a feature quantity data recording process.

FIG. 5 is an explanatory diagram showing a recording example of feature quantity data.

FIG. 6 is a flowchart showing event data recording processing.

FIG. 7 is an explanatory diagram showing event data recording processing.

FIG. 8 is an explanatory diagram showing a recording example of event data.

Next, an embodiment of the present invention will be described with reference to the drawings.

[Time-series data recording device]

First, a time series data recording device 10 according to an embodiment of the present invention will be described with reference to FIG. 1. FIG. 1 is a block diagram showing a configuration of a time-series data recording device.

The time series data recording device 10 is composed of circuit units such as a CPU and a memory as a whole, and is a device that sequentially records actual data of a time series obtained at a predetermined cycle to a time series data storage unit, and is installed in a factory or a building. Industrial field devices such as instruction controllers used in facilities, etc., or connected to field devices for use.

Generally, the time-series data recorded by the field device to the memory is used by the manager to analyze and verify the state of the control object, the evolution of the control content, and what kind of control the event has occurred. Therefore, if these time-series data are recorded directly as actual data, that is, directly as the acquired data (original data), the manager can analyze and verify in the most detailed manner.

The present invention focuses on the relationship between such time series data and the data required for the analysis and verification of events, and verifies the evolution of actual data recorded in the memory. When a pre-designated event is detected, the actual data The actual data related to the event is specific to the event data and is recorded in the memory.

Next, the configuration of the time-series data recording device 10 according to this embodiment will be described in detail with reference to FIG. 1. Hereinafter, the case where the time-series data recording device 10 is mounted on an instruction controller (temperature controller) that controls a heater so that a detected temperature detected from a control target is set to a set temperature is described as an example, but it is not limited thereto. Here, it can also be applied to other field devices, and the same effect can be obtained.

The time-series data recording device 10 includes, as main functional sections, an input / output I / F section 11, a memory 12, a data reduction section 13, a record control section 14, an event occurrence detection section 15, and an event data processing section 16. .

The input / output I / F unit 11 has a function of acquiring actual data output from an external circuit and an external device (none of which is shown).

The actual data is, for example, time-series data obtained every 50 ms in the acquisition cycle, and may be one type of time-series data or data obtained by aggregating a plurality of types of time-series data into a group. When the controller is instructed, as time-series data, there are the detected temperature (PV value), set temperature (SP value), the operation amount (MV value) obtained from the detected temperature and the set temperature, and heating from the operation amount. Data such as the output current value (CT value) of the actuator for actuator control.

In addition, the operation amount calculated by the control module or the on-off output, the result during PID calculation (equivalent to the internal operation amount, the value before the limit of the upper and lower limits of the operation amount), and the user-set alarm (PV Upper limit, lower limit, deviation), abnormality (sensor disconnection, abnormal upper limit of sensor measurement range, indication controller failure), various states such as digital input, operating time, number of writes to non-volatile memory, setting Various asset information such as the history of changes, time information such as the current time or elapsed time after power is connected can also be recorded as time series data.

The memory 12 is composed of a semiconductor memory and has a function of storing actual data, feature quantity data, and event data. In the memory 12, an area for storing actual data and feature data is statically or dynamically provided, that is, a time series data storage section 12A and an area for storing event data, that is, an event data storage section 12B.

Specific examples of the memory 12 may be volatile memories such as DRAM and SRAM that are backed up by a battery, or invariance such as flash memory and FRAM (Ferroelectric RAM). Memory. In addition, the memory 12 may be a dedicated memory installed inside the time-series data recording device 10 or an external memory such as an SD card or a USB memory that can be inserted and removed from the outside. At this time, it is also possible to use both internal and external memory to transfer data to the external memory automatically or manually when the internal memory has no available area, and ensure the available area in the internal memory.

The data reduction unit 13 has a function of reducing an actual data set composed of a certain amount of actual data continuous in a time series into feature quantity data representing characteristics of the actual data. As specific examples of the characteristic amount data, there are data such as a characteristic value of a control circuit, a change range of PV at a predetermined time, and an average value of an operation amount at a predetermined time per SP.

In particular, regarding the characteristic value of the control circuit, there are a neutral time after the SP step change until the PV change, a rise time from the PV change to the vicinity of the SP (for example, SP-3% FS), and the PV reaches the SP The time required from the vicinity (for example, SP-3% FS) to a stable state (for example, staying in the state of SP-1% FS for a certain period of time), the response trend model and diagnostic results described in Patent Document 2 , PID value in the AT implementation result, etc.

The recording control unit 14 has a function of monitoring the available capacity of the time-series data storage unit 12A, and determining whether or not actual data can be directly recorded to the time-series data storage unit 12A when obtaining new actual data; The function of directly recording actual data to the time series data storage section 12A; if it cannot be recorded, extract a certain amount of actual data in a time series continuous except for event data from the plurality of actual data already recorded in the time series data storage section 12A As the actual data set, and the reduction function is performed by the data reduction section 13; and the new feature data is recorded in the time series data storage section 12A after the obtained feature quantity data is substituted for the actual data of the actual data set To the function of the time series data storage section 12A.

At this time, if the recording control unit 14 cannot directly record the actual data to the time-series data storage unit 12A, it may delete some actual data other than the event data from the plurality of actual data already recorded in the time-series data storage unit 12A. After that, the new actual data is recorded in the time-series data storage unit 12A.

The event occurrence detection unit 15 has a function of verifying the evolution related to the value of the actual data recorded in the time-series data storage unit 12A, and when a pre-designated event is detected, the actual data is compared with the detected data. The event-related actual data is specifically a function of event data; and when a specific event data is specified, a continuous group of actual data immediately before and after the occurrence time of the event is specified as event data.

The event data processing unit 16 has a function of recording event data specified in response to the occurrence detection of an event by the event occurrence detection unit 15 to the time-series data storage unit 12A.

At this time, more specifically, the event data processing unit 16 may transfer the event data from the time-series data storage unit 12A to the event data storage unit 12B.

The event mentioned here refers to the occurrence of the following events: a disconnection in the field device, an under range, an internal memory abnormality, and other measuring instrument alarms; the occurrence of a time series data value greater than the specified time is judged Data deviations are normal deviations; events such as PV upper limit abnormality, lower limit abnormality, and change amount abnormality that are set as alarms in advance occur; various abnormal states set for each field device occur.

Regarding such an event, the manager needs detailed time-series data when analyzing and verifying it later. Therefore, in the event that these events occur, the event data is acquired from the time series data storage unit 12A by the event occurrence detection unit 15, and the actual data is directly transferred (moved) to the event data storage unit 12B, that is, the acquired The data (original data) is directly transferred (moved) to the event data storage section 12B. In particular, the event data includes not only time series data in the post-event period after the event occurrence time, but also time series data in the pre-event period before that. Thereby, it is possible to analyze and verify the omen phenomenon of the occurrence of the event in detail, and to effectively help the cause of the occurrence of a specific event.

Incidentally, the event data may not be transferred, but the event data processing unit 16 may detect the event data obtained by the event occurrence detection unit 15 according to the event occurrence detection performed by the event occurrence detection unit 15, for example, by performing The flag management protects the data in the time series data storage unit 12A as data other than the target of reduction and deletion.

In addition, the event data processing unit 16 has a function of determining whether or not the event obtained by the event occurrence detection unit 15 can be detected based on the available capacity of the event data storage unit 12B in accordance with the event occurrence detection performed by the event occurrence detection unit 15 The function of recording data to the event data storage section 12B and recording event data to the event data storage section 12B if it can be recorded; and from recording to time series when the event data cannot be recorded to the event data storage section 12B The function of deleting old data from the actual data of the data storage unit 12A in the order of time series and recording the event data to the obtained available area.

In the above, the case where the actual data is recorded in the time-series data storage unit 12A as much as possible has been described as an example. However, the normal period in which the control target is in a stable state also includes sufficient analysis using feature data. Control object for verification. In this case, the actual data in the normal period during which no event is detected among the actual data recorded in the time-series data storage unit 12A may be reduced to the feature amount data. This makes it possible to minimize the consumption of the recording area due to the actual data.

At this time, specifically, it is sufficient to set a function for the recording control unit 14 to record the data recorded in the time series data storage unit 12A by the data reduction unit 13 in accordance with the occurrence detection of the event by the event occurrence detection unit 15. The function of reducing actual data into feature quantity data and recording them in the time-series data storage unit 12A and deleting these actual data; and the function of recording the event data obtained by the event occurrence detection unit 15 in the event data storage unit 12B. At this time, as for the actual data, all the actual data recorded in the time-series data storage unit 12A is reduced to feature data, so that the memory 12 can be used very efficiently. Furthermore, these actual data may be reduced to one feature quantity data, or may be reduced to a plurality of feature quantity data according to a preset period and data quantity.

Furthermore, when different types of data such as actual data, feature data, and event data are recorded in the memory 12, it is actually necessary to manage which type of data is recorded at which address. Therefore, a memory management table can be set to manage the types of data recorded for each address, and a recording area can be set for each data type. Thus, it is only necessary to manage only the start address and the end address of each recording area or the area size, and it can be realized with a smaller memory capacity than the memory management table.

At this time, specifically, the recording control unit 14 has a function of setting an actual data recording area for recording an actual data set, a feature data recording area for recording feature data, and an event data event in the memory 12. The function of the data recording area; the function of allocating the entire recording area to the actual data recording area when starting to record the memory 12; the available area obtained by deleting the actual data from the actual data recording area when recording characteristic data A function for sequentially allocating feature quantity data recording areas; and a function for sequentially allocating available areas obtained by deleting actual data from actual data recording areas when recording event data as event data recording areas.

[Operation of this embodiment]

Next, the operation of the time-series data recording device 10 according to this embodiment will be described with reference to FIG. 2. FIG. 2 is a flowchart showing a data recording process.

The time-series data recording device 10 starts the data recording process of FIG. 2 in response to a recording start instruction from the outside or activation after power-on.

First, the input / output I / F unit 11 obtains one or a plurality of time-series data from the outside as actual data in each predetermined period (step 100).

The event occurrence detection unit 15 verifies the acquired actual data (step 101), and when a predetermined event is detected (step 101: Yes), it proceeds to event data recording processing (step 105) described later.

On the other hand, when a pre-designated event is not detected (step 101: No), the recording control unit 14 determines whether or not actual data can be recorded to the time-series data storage based on the available capacity of the time-series data storage unit 12A. Section 12A (step 102).

Here, when there is an available area larger than the data size of the actual data in the time-series data storage unit 12A and can be recorded (step 102: Yes), the recording control unit 14 directly records the actual data without reducing the actual data. The available area of the data storage unit 12A (step 103) returns to step 100.

On the other hand, when there is no usable area larger than the actual data size in the time-series data storage unit 12A and the recording cannot be performed (step 102: No), the recording control unit 14 proceeds to the feature quantity data recording processing described later. (Step 104).

〔Characteristic data record processing〕

Next, the feature quantity data recording processing of the time series data recording device 10 according to the present embodiment will be described with reference to FIGS. 3 and 4. FIG. 3 is a flowchart showing a feature quantity data recording process. FIG. 4 is an explanatory diagram showing a feature quantity data recording process.

The time series data recording device 10 executes the feature amount data recording process of FIG. 3 in step 104 of FIG. 2.

First, the recording control unit 14 extracts a certain amount of actual data that is continuous in time series from the plurality of actual data that has been recorded in the time-series data storage unit 12A, that is, the actual data of the Ts part during the assembly period in FIG. 4 as actual Data set (step 110), and the actual data set is reduced by the data reduction unit 13 to generate feature quantity data, which represents the characteristics of a certain amount of actual data included in the actual data set (step 111) ).

At this time, regarding the actual data extracted as the actual data set, several selection methods can be considered. As one of them, there is a method of obtaining a certain amount of actual data that is continuous in time series from the actual data that has been recorded in the time series data storage section 12A in the order of the date and time from morning to night. As a result, it is possible to delete the actual data that is less likely to be analyzed and verified by the manager later, and reduce it to feature data, so that the impact of the reduction on analysis and verification can be minimized. Furthermore, as for the actual data set, it is also possible to obtain only a certain amount of actual data that is continuous in a time series based on the condition that the value of the actual data is constant within a predetermined range. Even in this case, it is possible to minimize the influence of reduction on analysis and verification.

Next, based on the available capacity of the time-series data storage unit 12A, the recording control unit 14 determines whether or not the feature quantity data generated by the data reduction unit 13 can be recorded in the time-series data storage unit 12A (step 112).

Here, if there is a usable area larger than the data size of the feature quantity data in the time series data storage unit 12A and it can be recorded (step 112: Yes), the record control unit 14 records the feature quantity data to the time series data storage The available area of the unit 12A (step 113) ends the feature quantity data recording processing of a group.

On the other hand, when there is no usable area larger than the data size of the feature quantity data in the time-series data storage unit 12A and recording is impossible (step 112: No), the recording control unit 14 records the time-series data storage unit from the time-series data storage unit The actual data of 12A is deleted, for example, the amount of data of the feature quantity data, the available area is secured in the time series data storage unit 12A (step 114), and the feature quantity data is recorded in the available area of the secured time series data storage unit 12A ( Step 115), the feature quantity data recording processing of a group is ended.

At this time, regarding the actual data to be deleted, several options can be considered. As one of them, there is a method of selecting actual data from the actual data that has been recorded in the time-series data storage unit 12A in the order of the acquired date and time from morning to night. As a result, it is possible to delete the actual data that is less likely to be analyzed and verified by the manager later, and it is possible to minimize the impact of the reduction on the analysis and verification. Furthermore, the actual data to be deleted may be selected on the condition that the value of the actual data is constant within a predetermined range. Even in this case, it is possible to minimize the influence of reduction on analysis and verification.

In the example of FIG. 4, from the actual data already recorded in the time-series data storage unit 12A, the actual data of the amount of the set period Ts is extracted as the actual data set. By this extraction, the actual data corresponding to the actual data set is deleted from the time-series data storage unit 12A to secure a usable area. Furthermore, the data size of the feature data is smaller than the actual data set. Therefore, more feature data can be recorded in a smaller number of recording areas than the actual data set, and the amount of actual data deleted in order to ensure the recording area can be reduced. less. As a result, time-series data can be recorded using the memory 12 efficiently.

FIG. 5 is an explanatory diagram showing a recording example of feature quantity data. The example in FIG. 5 shows a case where the actual data recording area Ma and the characteristic data recording area Mb are dynamically set in the time-series data storage unit 12A as areas for recording actual data and characteristic data.

As shown in FIG. 5 (a), when recording of the time-series data storage unit 12A is started, the actual data recording area Ma is set to the entire recording area of the time-series data storage unit 12A. At a certain point in time, the amount of actual data recorded in the time-series data storage unit 12A is Mn, and the remaining area is the available area.

Thereafter, the obtained actual data is sequentially recorded into the actual data recording area Ma. As shown in FIG. 5 (b), when the available area (available capacity) is zero, after that, no new actual data can be recorded. data. Therefore, a part of the actual data recorded in the actual data recording area Ma is extracted as a set of actual data and reduced to feature quantity data.

Thus, as shown in FIG. 5 (c), the actual data is deleted from the actual data recording area Ma by this extraction, and an available area is secured in the time-series data storage unit 12A. As shown in FIG. 5 (d), All or part of the available area is allocated to the feature amount data recording area Mb, where the feature amount data is recorded.

Generally speaking, regarding time-series data, from the viewpoint of analysis and verification performed by managers, new data is more valuable than past data. This is because the correlation between past data and current status is low, and the correlation between new data and current status is high. Therefore, in ensuring the recording capacity, by sequentially deleting old data from the actual data recorded in the time-series data storage unit 12A to ensure the recording capacity, higher-value data can be retained in the memory 12, and Efficiently record materials useful for analysis and verification.

[Event data record processing]

Next, an event data recording process of the time series data recording device 10 according to the present embodiment will be described with reference to FIGS. 6 and 7. FIG. 6 is a flowchart showing event data recording processing. FIG. 7 is an explanatory diagram showing event data recording processing.

The time series data recording device 10 executes the event data recording process of FIG. 6 in step 105 of FIG. 2.

First, the event occurrence detection unit 15 specifies the time position of the actual data at which the beginning of the designated event P is detected among the actual data recorded in the time-series data storage unit 12A as the event occurrence time Tp. The actual data of the amount of the event-related period Tc formed by the pre-event period Ta and the post-event period Tb set for the event P is specified as event data (step 120).

Next, the recording control unit 14 determines whether or not the event data acquired by the event occurrence detection unit 15 can be recorded in the event data storage unit 12B based on the available capacity of the event data storage unit 12B (step 121).

Here, if there is an available area larger than the data size of the event data in the event data storage unit 12B and recording is possible (step 121: Yes), the record control unit 14 transfers the event data from the time series data storage unit 12A to The available area of the event data storage unit 12B (step 122) ends the event data recording process for a group.

On the other hand, when there is no available area larger than the data size of the event data in the event data storage unit 12B and recording is impossible (step 121: No), the recording control unit 14 retrieves the actual data recorded in the memory 12 , Delete the amount of data such as event data, ensure an available area in the event data storage unit 12B (step 123), record the event data to the available area of the secured event data storage unit 12B (step 124), and end a group of Event data record processing.

In the example of FIG. 7, when the designated event P is detected from the actual data already recorded in the time-series data storage unit 12A, the time position of the actual data at the beginning is set as the event occurrence time Tp, and The actual data of the amount of the event-related period Tc composed of the pre-event period Ta and the post-event period Tb set in advance for this event by Tp is extracted from the time series data storage unit 12A as event data, and the event data is recorded to the event data Storage section 12B.

Thereby, the time series data before and after the occurrence of the designated event P is directly recorded in the event data storage unit 12B as actual data. Therefore, the manager can correctly analyze and verify the event P, and the memory 12 can efficiently record data of higher value as a whole.

FIG. 8 is an explanatory diagram showing a recording example of event data. The example of FIG. 8 shows a case where the actual data recording area Ma, the characteristic data recording area Mb, and the event data recording area Mc are dynamically set in the memory 12 as areas for recording actual data, characteristic data, and event data. . The actual data recording area Ma and the feature data recording area Mb of these recording areas correspond to the time-series data storage unit 12A, and the event data recording area Mc corresponds to the event data storage unit 12B.

As shown in FIG. 8 (a), it is assumed that the actual data recording area Ma and the feature amount data recording area Mb are set in the memory 12 at a certain point in time, and there is no usable area.

Thereafter, when the occurrence of the designated event P is detected, as shown in FIG. 8 (b), a part of the actual data recorded in the actual data recording area Ma is deleted, as shown in FIG. 8 (c). , Assign the recording area thus secured to the event data recording area Mc, and record the event data here.

Generally speaking, regarding time-series data, from the viewpoint of analysis and verification performed by managers, new data is more valuable than past data. This is because the correlation between past data and the current situation is low, and the correlation between new data and the current situation is high. Therefore, in ensuring the recording capacity, by sequentially deleting old data from the actual data recorded in the time-series data storage unit 12A to ensure the recording capacity, higher-value data can be retained in the entire memory 12, Materials that are useful for analysis and verification can be efficiently recorded.

[Effect of this embodiment]

As such, in the present embodiment, the event occurrence detection unit 15 verifies the evolution related to the value of the actual data recorded in the time-series data storage unit 12A, and when a predetermined event is detected, these actual data are included in the actual data. The actual data related to the event is specified as the event data, and the event data processing section 16 records the event data specified in response to the occurrence detection of the event to the time series data storage section 12A.

Therefore, in the event of a pre-designated event, the event occurrence detection unit 15 specifies the actual data related to the event from the time series data storage unit 12A as the event data, and the event data processing unit 16 specifies the actual data. The data is directly recorded in the time-series data storage section 12A, that is, the acquired data (original data) is directly recorded in the time-series data storage section 12A.

Therefore, even in a case where actual data is collected into feature quantity data and recorded in the memory 12, and a case where a portion of the actual data to be recorded is skipped and recorded in the memory 12 is extended by a recording interval extension, etc. Even when all the acquired actual data is recorded in the memory 12, it is possible to correctly analyze and verify the events that have occurred.

Therefore, a large-capacity memory that does not require factors that increase costs and increase in size can be used to find out the causes of obstacles or the interrelationships between events, predict failures, and improve the yield of finished products.

Furthermore, in this embodiment, when the event occurrence detection unit 15 specifies the actual data related to the event as the event data, a continuous group of actual data located before and after the event occurrence time may be specified as the event data.

As a result, the actual data before and after the event is recorded as the event data, and it is possible to grasp what changes existed before the event, that is, what kind of omen phenomena, and can effectively help identify the cause of the obstacle or the interrelationship between the events.

[Expansion of the embodiment]

As mentioned above, although this invention was demonstrated with reference to embodiment, this invention is not limited to the said embodiment. With regard to the configuration and details of the present invention, various changes that can be understood by a person having ordinary knowledge in the technical field to which the present invention pertains can be made within the scope of the present invention. In addition, each embodiment can be implemented in any combination as long as it is not contradictory.

In FIGS. 5 and 8 described above, the case where each recording area is dynamically secured when data is recorded in the memory 12 is explained. However, when it is difficult to achieve such a dynamic area securing by design, it may be fixed in advance To secure each recording area. In this case, when no event occurs or the number of occurrences of the event is less than expected, the event data recording area is not used at all, and the memory 12 may not be completely used up in some cases. Furthermore, when the number of occurrences of the event is larger than expected, even though the memory 12 is left as a whole, it is necessary to take measures to discard the old event data or not to record new event data.

Furthermore, generally, the time series data recording device 10 is regularly maintained, and the actual data, feature data, and event data recorded in the memory 12 are discarded or transferred to a higher-level device. Therefore, as the memory 12, a memory having a recording capacity sufficient to record these data acquired during the operation period up to this point should be prepared. However, in the case where the recording area is used up halfway, for example, in the case where it becomes the actual data recording area and the feature quantity data recording area cannot be secured, the corresponding setting content can be obtained from the data recorded in the memory 12 such as the feature quantity The old data is deleted and overwritten in order, or it can be discarded without recording new data.

Furthermore, in each of the above embodiments, the case where the actual data set cannot be recorded in the memory 12 is described by taking the case where one feature amount data is generated from one actual data set as an example, but the actual data The relationship between the set and the feature data is not limited to this, and it is possible to generate a plurality of feature data for one actual data set, or to generate a feature data for a plurality of actual data sets. Further, the number of actual data set as the actual data set may be constant or variable.

Claims (6)

A time series data recording method, which sequentially records the actual data of the time series obtained at a predetermined cycle to the time series data storage section, is characterized by having an event occurrence detection step, which verifies and records the time series data storage. The above-mentioned actual value-related evolution of the Ministry, in the event that a pre-designated event is detected, specifies the actual data related to the above-mentioned event as the event data; and the event data processing steps, which will correspondingly The event data identified by the occurrence detection of the event is recorded in the time series data storage unit. The time-series data recording method according to claim 1, wherein when the event occurrence detection step specifies the event data, a continuous group of actual data located before and after the occurrence time of the event is specified as the event data. The time series data recording method according to claim 1 or 2, wherein the event data processing step is to transfer the event data specified according to the occurrence detection of the event from the time series data storage unit to the event data storage. unit. The time-series data recording method according to claim 1 or 2, further comprising: a data reduction step of reducing an actual data set composed of a certain amount of the above-mentioned actual data continuously in a time series to a characteristic representing these actual data Feature quantity data; and a recording control step that monitors the available capacity of the above-mentioned time-series data storage unit, and determines whether it is possible to directly record the above-mentioned actual data to the above-mentioned time-series data storage unit when new actual data is obtained, and if it can be recorded , The above actual data is directly recorded to the above-mentioned time series data storage section. On the other hand, if it cannot be recorded, from the actual data that has been recorded in the above-mentioned time series data storage section, the buttons other than the above event data are extracted. A certain amount of actual data in a continuous time series is used as the actual data set, and is reduced by the above data reduction step, and the obtained feature amount data is recorded in the time series data storage unit instead of the actual data of the actual data set, and Record the above new actual data The time-series data storage unit. The time-series data recording method according to claim 1 or 2, further comprising a recording control step that monitors the available capacity of the time-series data storage unit, and determines whether or not the actual data can be obtained when new actual data is obtained Record directly to the time series data storage section. If it can be recorded, the actual data is directly recorded to the time series data storage section. On the other hand, if it cannot be recorded, it will be recorded from the plural that has been recorded in the time series data storage section. Among the actual data, after deleting a part of the actual data other than the event data, the new actual data is recorded in the time series data storage section. A time-series data recording device that sequentially records actual data of a time-series obtained at a predetermined cycle to a time-series data storage unit, and is characterized by including: an event occurrence detection unit that verifies and records the time-series data storage The above-mentioned actual data related to the development of the Ministry, in the event that a pre-designated event is detected, the actual data related to the above-mentioned events in the actual data is specified as the event data; and the event data processing section, which will correspondingly The event data identified by the occurrence detection of the event is recorded in the time series data storage unit.