JP5048460B2 - Trend monitoring system, trend monitoring apparatus, and trend monitoring method - Google Patents

Description

  The present invention relates to a trend monitoring system, a trend monitoring apparatus, and a trend monitoring method.

  In the conventional remote monitoring technology, instead of comparing the measured value with one reference value, as a means for monitoring the measured value of the monitoring device based on the change over time of the measured value within the set range, When a measured value is continuously measured within a set range for a plurality of times, an abnormality is determined. Thus, the abnormality is detected before the abnormality is observed (Patent Document 1).

Also, as an abnormality determination algorithm, for example, time series data is captured, a fluctuation rate indicating the fluctuation amplitude of the time series data for each predetermined unit, a change rate indicating the degree of fluctuation, and an unstable region before the occurrence of an alarm. Calculate the time span in which time-series data exists, determine the long-term trend of the plant being monitored based on the calculated information, and avoid the plant before it becomes unstable A trend management device that issues a prediction alarm is proposed (Patent Document 2).
JP 2003-296851 A Japanese Patent No. 3178957

  However, according to the conventional method, the reference value needs to be set for each remote monitoring device, and needs to be changed according to the actually measured data. In this case, there is a problem in that it has to be performed by a dedicated terminal and takes time and effort.

  In addition, a trend monitoring algorithm for performing abnormality determination needs to be incorporated in the trend monitoring system in advance. Therefore, in order to change the trend monitoring algorithm, it is necessary to make a change after temporarily stopping the trend monitoring, and then execute the changed trend monitoring algorithm. Therefore, there is a problem that the trend monitoring algorithm cannot be freely changed.

  Furthermore, when there are many (for example, 100 or more) remote monitoring devices and many types, it is necessary to create a trend monitoring algorithm for each remote monitoring device and set a parameter value corresponding to each remote monitoring device. Therefore, there is a problem that it is very difficult to manage the trend monitoring algorithm and parameters.

  The present invention has been made to solve such a problem, and a trend monitoring system capable of efficiently managing a trend monitoring algorithm applied to a large number and many types of remote monitoring devices. The purpose is to provide.

  A trend monitoring system according to a first aspect of the present invention includes a trend monitoring device connected to a plurality of remote monitoring devices via a network, and a user terminal connected to the trend monitoring device via a network. A trend monitoring algorithm storage unit that stores a trend monitoring program in which a trend monitoring algorithm is implemented, a device association information storage unit that stores device association information indicating association between the trend monitoring algorithm and the remote monitoring device, and the user Based on the change information of the trend monitoring algorithm from the terminal, the trend monitoring program storage means for storing the trend monitoring program in the trend monitoring algorithm storage unit, and the device association information stored in the device association information storage unit A trend monitoring execution unit that reads an associated trend monitoring program from the trend monitoring algorithm storage unit and executes a trend monitoring process by the trend monitoring program is provided.

  Thereby, a plurality of remote monitoring devices and trend monitoring algorithms can be stored in association with each other, and the trend monitoring algorithms can be managed efficiently.

  In addition, the above-described trend monitoring system is configured to store trend monitoring parameter information defined in the trend monitoring algorithm in association with the remote monitoring device associated in the device association information of the trend monitoring algorithm. A storage unit is further provided. The trend monitoring execution unit reads trend monitoring parameter information associated with the remote monitoring device associated in the device association information from the trend monitoring parameter information storage unit, and uses the trend monitoring parameter information to read the trend monitoring parameter information. Trend monitoring processing may be executed by a monitoring program.

  Thereby, the trend monitoring parameters in the trend monitoring algorithm can be managed for each remote monitoring device, and can be reflected in the execution of the trend monitoring process.

  In the trend monitoring system described above, the trend monitoring execution unit reads the updated trend monitoring program from the trend monitoring algorithm storage unit when the trend monitoring program is updated by the trend monitoring program storage unit. It is good to.

  Thereby, the change of the trend monitoring algorithm can be reflected in the execution of the trend monitoring process.

  In the trend monitoring system described above, the trend monitoring program storage means extracts the trend monitoring parameter information defined in the trend monitoring algorithm, and the trend monitoring parameter information is included in the device association information of the trend monitoring algorithm. The associated remote monitoring device may be stored in the trend monitoring parameter information storage unit in association with each other.

  Thereby, the trend monitoring parameter information defined in the trend monitoring algorithm can be managed for each remote monitoring device.

  Further, in the above-described trend monitoring system, the trend monitoring program storage unit is configured to monitor the trend of the trend monitoring program by the trend monitoring execution unit based on the parameter value change information in the trend monitoring parameter information from the user terminal. After the execution of the process is completed, the parameter value may be stored in the trend monitoring parameter information storage unit.

  Thereby, the change reflection of the parameter value can be performed without affecting the execution of the trend monitoring program.

  According to the present invention, it is possible to provide a trend monitoring system capable of efficiently managing a trend monitoring algorithm applied to a large number and many types of remote monitoring devices.

  Hereinafter, specific embodiments to which the present invention is applied will be described in detail with reference to the drawings. In the drawings, the same elements are denoted by the same reference numerals, and redundant description is omitted as necessary for the sake of clarity.

Embodiment 1 of the Invention
FIG. 1 is a block diagram showing an example of the configuration of the trend monitoring system 100 according to the present embodiment. The trend monitoring system 100 includes a trend monitoring device 1, a client terminal 2, a plurality of remote monitoring devices 3, and a network N. The trend monitoring device 1, the client terminal 2, and the plurality of remote monitoring devices 3 are connected via a network N. The network N may be a communication network such as the Internet, a public network, a dedicated line, and a mobile communication network.

  The remote monitoring device 3 is a device that remotely monitors whether or not the data measured by the equipment that controls power generation, air conditioning, gas, and the like is an abnormal value. The remote monitoring device 3 acquires time-series data from the equipment that is the target of remote monitoring and stores it for a certain period. There are, for example, several hundreds of equipment devices that are the targets of remote monitoring, and the remote monitoring device 3 performs remote monitoring.

  The trend monitoring device 1 is a general-purpose computer system, collects data stored in a plurality of remote monitoring devices 3 via the network N, and stores the collected data in the trend monitoring device 1 as collected data. In addition, the trend monitoring device 1 performs trend monitoring on collected data. Trend monitoring is an analysis of collected data for a certain period based on a trend monitoring algorithm, and even if the remote monitoring device 3 determines that the value is not an abnormal value, there is a possibility that an abnormal value will be measured in the future. This is monitoring that aims to detect something. The trend monitoring device 1 can apply different trend monitoring algorithms for each collected data of the plurality of remote monitoring devices 3. Further, the trend monitoring apparatus 1 includes an interface for exchanging information with a WEB server that receives an instruction such as setting of a trend monitoring algorithm via the network N. A detailed description of the trend monitoring apparatus 1 will be described later with reference to FIG.

  The client terminal 2 is a computer having a WEB browser, and can instruct the trend monitoring device 1 via the network N to set a trend monitoring algorithm.

  FIG. 2 is a block diagram showing a configuration of the trend monitoring apparatus 1 according to the present embodiment. The trend monitoring device 1 is configured by a computer system, and includes a control unit 110, a communication unit 111, a trend monitoring execution unit 112, an algorithm setting unit 113, a parameter setting unit 114, a trend monitoring algorithm storage unit 121, and a device The association information storage unit 122, the device parameter storage unit 123, the change information storage unit 124, the execution information storage unit 125, and the collected data storage unit 126 are provided.

  The trend monitoring algorithm storage unit 121 includes an execution format program that is an execution format program in which the trend monitoring algorithm is implemented, and a parameter ID, a parameter name, and a default value that are trend monitoring parameter information defined in the trend monitoring algorithm. Remember.

  The device association information storage unit 122 stores device association information indicating association between the trend monitoring algorithm and the remote monitoring device. The device association information represents a one-to-one association between one trend monitoring algorithm and one remote monitoring device. Therefore, it is possible to represent a many-to-many association between a plurality of trend monitoring algorithms and a plurality of remote monitoring devices by a plurality of device association information.

  The device parameter storage unit 123 stores a parameter table in which each parameter ID defined in the trend monitoring algorithm is defined as column information. The parameter table stores a parameter value corresponding to each parameter ID for each remote monitoring device associated with the trend monitoring algorithm.

  The change information storage unit 124 stores change information indicating that the trend monitoring algorithm has been changed. The change information is information that associates the trend monitoring algorithm before the change with the trend monitoring algorithm after the change.

  The execution information storage unit 125 stores execution information indicating that the trend monitoring algorithm is being executed by the trend monitoring execution unit 112. The execution information storage unit 125 can store a plurality of pieces of execution information in the same trend monitoring algorithm.

  The collected data storage unit 126 stores the collected data transferred from the remote monitoring device 3.

  The trend monitoring algorithm storage unit 121, the device association information storage unit 122, the device parameter storage unit 123, the change information storage unit 124, the execution information storage unit 125, and the collected data storage unit 126 are a hard disk drive, a flash A non-volatile storage device such as a memory or a volatile storage device such as a DRAM (Dynamic Random Access Memory) may be used.

  The control unit 110 controls each process in the trend monitoring apparatus 1, that is, processes such as trend monitoring execution, algorithm setting, parameter setting, and the like. The control unit 110 is configured by connecting storage means such as a CPU (Central Processing Unit) and ROM / RAM to a bus. In the control unit 110, the CPU executes transfer and various processes based on a main program, a program developed in a RAM or the like, data temporarily stored, and the like. The communication unit 111 is connected to the network N and performs communication such as data transmission / reception between the client terminal 2 and the remote monitoring device 3.

  The trend monitoring execution unit 112 acquires the execution format program stored in the trend monitoring algorithm storage unit 121 at an arbitrary timing, executes the trend monitoring algorithm, and monitors the collected data stored in the collected data storage unit 126. Do. Further, before executing the trend monitoring algorithm, the change information storage unit 124 is referred to and it is determined whether there is change information in the trend monitoring algorithm. If there is change information, the trend monitoring algorithm after change is executed based on the change information. Then, the execution information in the trend monitoring algorithm is stored in the execution information storage unit 125 at the start of execution of the trend monitoring algorithm, and the execution information is deleted at the end of the execution of the trend monitoring algorithm. The trend monitoring execution unit 112 can simultaneously execute the same trend monitoring algorithm in a plurality of processes. At that time, a plurality of execution information is created for each process. A detailed description of the process of the trend monitoring execution unit 112 will be described later with reference to FIG.

  The algorithm setting unit 113 receives registration / change of the trend monitoring algorithm, adds a predetermined process, and stores it in the trend monitoring algorithm storage unit 121. Registration / change reception of the trend monitoring algorithm is performed by an interface for exchanging information with the WEB server. Also, the predetermined process is to extract the parameter ID, parameter name and default value from the source code in which the accepted trend monitoring algorithm is implemented, convert the trend monitoring algorithm into an execution format, generate an execution format program, and generate The parameter table corresponding to the executed execution program is created as a column, and the parameter value for each remote monitoring device associated with the trend monitoring algorithm is stored as a record in the parameter table. In addition to the predetermined process, the change information storage unit 124 stores the change information in the trend monitoring algorithm. Details of the processing of the algorithm setting unit 113 will be described later with reference to FIG.

  The parameter setting unit 114 accepts the parameter value setting for each remote monitoring device in the trend monitoring algorithm and stores it in the trend monitoring algorithm storage unit 121. The reception of the parameter value setting is performed by an interface for exchanging information with the WEB server. In addition, after receiving the parameter value setting, the parameter setting unit 114 refers to the execution information storage unit 125 and determines whether execution information in the trend monitoring algorithm exists. When the execution information exists, the parameter setting unit 114 stops the process for a certain time while holding the parameter value setting information, and performs the determination again. When the execution information does not exist, the parameter setting unit 114 refers to the trend monitoring algorithm storage unit 121 and stores the parameter value in the record of the corresponding remote monitoring device in the parameter table in the trend monitoring algorithm. A detailed description of the processing of the parameter setting unit 114 will be described later with reference to FIG.

  FIG. 3 is a diagram illustrating storage information relating to management of the trend monitoring algorithm according to the present embodiment. In the following description, the trend monitoring system 100 according to the present embodiment is assumed to include remote monitoring devices X, Y, and Z. Further, trend monitoring algorithms include A, B, and C, and the trend monitoring system 100 stores execution format programs A, B, and C in which the respective trend monitoring algorithms are implemented. .

  FIG. 3A is a diagram illustrating information stored in the device association information storage unit 122. In FIG. 3A, the device association information storage unit 122 stores device association information R11, R12, R22, R23, and R31. The device association information R11 is information in which an algorithm 41 that is information indicating the trend monitoring algorithm A and remote monitoring device information 51 that is information indicating the remote monitoring device X are associated with each other. The device association information R12 is information in which the algorithm 41 and remote monitoring device information 52 that is information indicating the remote monitoring device Y are associated with each other. The device association information R22 is information in which the algorithm 42, which is information indicating the trend monitoring algorithm B, and the remote monitoring device information 52 are associated with each other. The device association information R23 is information in which the algorithm 42 is associated with the remote monitoring device information 53 that is information indicating the remote monitoring device Z. The device association information R31 is information in which the algorithm 43, which is information indicating the trend monitoring algorithm C, and the remote monitoring device information 51 are associated with each other. Accordingly, the trend monitoring device 1 can define a many-to-many relationship between the trend monitoring algorithm and the remote monitoring device in the device association information storage unit 122.

  FIG. 3B is a diagram illustrating information stored in the device parameter storage unit 123. 3B, the device parameter storage unit 123 includes a parameter table 410 in the trend monitoring algorithm A, a parameter table 420 in the trend monitoring algorithm B, and a parameter table 430 in the trend monitoring algorithm C.

  The parameter table 410 defines the remote monitoring device name and the parameter IDs PA1, PA2,..., PAI defined in the trend monitoring algorithm A as columns. The parameter table 410 stores records 411 and 412. The record 411 is a parameter value corresponding to each parameter ID in the remote monitoring device information 51 based on the device association information R11. The record 412 is a parameter value corresponding to each parameter ID in the remote monitoring device information 52 based on the device association information R12.

  Similarly, the parameter table 420 defines a remote monitoring device name and parameter IDs PB1, PB2,..., PBJ defined in the trend monitoring algorithm B as columns. The parameter table 420 stores records 421 and records 422. The record 421 is a parameter value corresponding to each parameter ID in the remote monitoring device information 52 based on the device association information R22. The record 422 is a parameter value corresponding to each parameter ID in the remote monitoring device information 53 based on the device association information R23.

  Similarly, the parameter table 430 defines the remote monitoring device name and the parameter IDs PC1, PC2,..., PCK defined in the trend monitoring algorithm C as columns. The parameter table 430 stores a record 431. The record 431 is a parameter value corresponding to each parameter ID in the remote monitoring device information 51 based on the device association information R31.

  Thus, by defining the parameter table in the device parameter storage unit 123, the number and type of parameters differ for each trend monitoring algorithm, and the parameter values for each remote monitoring device can be managed individually.

  FIG. 4 is an example of the trend monitoring algorithm setting screen 7 according to the present embodiment. The trend monitoring algorithm setting screen 7 is a screen for displaying a trend monitoring algorithm registration or change instruction displayed on the WEB browser of the client terminal 2. The trend monitoring algorithm setting screen 7 includes a screen message unit 71, an event handler name display unit 72, an algorithm input unit 73, a scroll bar 74, and an execution button 75.

  The screen message unit 71 is an area for displaying a message to the user who operates the trend monitoring algorithm setting screen 7. The event handler name display unit 72 is an area for displaying an event handler name that identifies a trend monitoring algorithm to be set. The algorithm input unit 73 is an area for inputting a source code in which a setting target trend monitoring algorithm is implemented. The scroll bar 74 is a scroll bar that adjusts the display position of the source code input to the algorithm input unit 73. When the execute button 75 is pressed, the source code input to the algorithm input unit 73 is transmitted to the trend monitoring device 1.

  FIG. 5 is an example of the trend monitoring algorithm according to the present embodiment. The trend monitoring algorithm 60 is a part of source code in which the trend monitoring algorithm is implemented and described in JAVA (registered trademark). The trend monitoring algorithm 60 includes a parameter name 601 described according to a predetermined rule, a parameter ID 602, a default value 603, and an algorithm title 604. Thereby, the algorithm setting unit 113 can extract parameters and the like from the trend monitoring algorithm 60. A plurality of parameter names 601, parameter IDs 602, and default values 603 may exist in the trend monitoring algorithm 60. The parameter name 601 is a character string representing the name of the parameter, and is used for a display item in FIG. The parameter ID 602 is a character string that identifies a parameter in the trend monitoring algorithm 60. The default value 603 is a value set by default for the parameter. The algorithm title 604 represents a title character string of the algorithm defined in the trend monitoring algorithm 60. Of course, the predetermined rule in the trend monitoring algorithm 60 is not limited to the example of FIG.

  FIG. 6 is a flowchart showing the algorithm setting process according to the present embodiment. FIG. 8B is a diagram illustrating a parameter table added to the device parameter storage unit 123 when the trend monitoring algorithm according to the present embodiment is changed. Below, the example which changes the tendency monitoring algorithm A into the tendency monitoring algorithm D is demonstrated with reference to FIG.6 and FIG.8 (b) suitably.

  First, it is assumed that the user operating the client terminal 2 has selected the trend monitoring algorithm A to be changed via the WEB browser. Then, the user displays the trend monitoring algorithm setting screen 7 on the client terminal 2, inputs the source code of the changed trend monitoring algorithm D, and presses the execution button 75. Thereafter, the client terminal 2 transfers the source code input to the trend monitoring device 1 via the network N. The trend monitoring device 1 receives the input by the communication unit 111 and receives the input of the source code of the trend monitoring algorithm D after the change by the algorithm setting unit 113 (S101).

  The algorithm setting unit 113 extracts trend monitoring parameter information from the received source code (S102). That is, the algorithm setting unit 113 analyzes the received source code step. And when it corresponds to a predetermined pattern, it extracts as a parameter name, parameter ID, a default value, and an algorithm title. At this time, the algorithm setting unit 113 compiles the analyzed source code, generates an executable program, and stores it in the trend monitoring algorithm storage unit 121.

  Thereafter, the algorithm setting unit 113 creates a parameter table from the extracted tendency monitoring parameter information (S103). That is, first, the algorithm setting unit 113 stores trend monitoring parameter information corresponding to the trend monitoring algorithm D in the trend monitoring algorithm storage unit 121 from the received source code. In the trend monitoring parameter information, a record including a parameter name, a parameter ID, and a default value is registered. For example, parameter IDs corresponding to the trend monitoring algorithm D are PD1, PD2,..., PDL, as shown in FIG. Next, as shown in FIG. 8B, the algorithm setting unit 113 uses the parameter ID registered in the trend monitoring parameter information corresponding to the trend monitoring algorithm D as column information, and the parameter table 440 in the trend monitoring algorithm D. Is created in the device parameter storage unit 123.

  Then, the algorithm setting unit 113 registers the record for each remote monitoring device associated with the change source trend monitoring algorithm in the created parameter table (S104). That is, first, the algorithm setting unit 113 refers to the device association information storage unit 122, and from the device association information R11 and R12 corresponding to the change source trend monitoring algorithm A, the remote monitoring device information 51 and the remote monitoring device information. 52 is acquired. Next, the algorithm setting unit 113 refers to the trend monitoring algorithm storage unit 121 and acquires a set of parameter ID and default value from the trend monitoring parameter information corresponding to the trend monitoring algorithm D. Then, the algorithm setting unit 113 sets the record 441 and the record 442 that are the default values corresponding to the parameter IDs for the remote monitoring device information 51 and the remote monitoring device information 52 in the parameter table 440, and the device parameter storage unit 123. Register with.

  Thereafter, the algorithm setting unit 113 creates change information in the trend monitoring algorithm (S105). That is, the algorithm setting unit 113 associates the trend monitoring algorithm A before the change with the trend monitoring algorithm D after the change, and stores it in the change information storage unit 124 as change information.

  Thereby, the setting in the trend monitoring algorithm D is made. That is, for the trend monitoring algorithm D itself, the execution format program is stored in the trend monitoring algorithm storage unit 121. Further, parameter values for executing the trend monitoring algorithm for the remote monitoring device information 51 and the remote monitoring device information 52 are stored in the parameter table 440.

  Also, the algorithm setting unit 113 does not update the device association information R11 and R12 and the parameter table 410 shown in FIG. For this reason, even if the trend monitoring algorithm A before the change is being executed, the processing of the algorithm setting unit 113 is not affected.

  FIG. 7 is a flowchart showing an algorithm execution process according to the present embodiment. FIG. 8A is a diagram illustrating the update of the device association information storage unit 122 when the trend monitoring algorithm according to the present embodiment is changed. Hereinafter, an example in which the algorithm setting of the trend monitoring algorithm D is reflected at the time of execution will be described with reference to FIGS. 7 and 8A as appropriate.

  As a premise, the trend monitoring execution unit 112 executes trend monitoring for each collected data corresponding to each of a plurality of remote monitoring devices according to an instruction from the control unit 110. Here, it is assumed that the collected data corresponding to the remote monitoring device X is subjected to trend monitoring by the trend monitoring algorithm A. At this time, it is assumed that the trend monitoring algorithm A is not executed for the collected data corresponding to the remote monitoring device X.

  First, the trend monitoring execution unit 112 starts processing according to an instruction from the control unit 110.

  Next, the trend monitoring execution unit 112 determines whether or not the trend monitoring algorithm to be executed exists in the change information (S201). That is, the trend monitoring execution unit 112 refers to the change information storage unit 124 and confirms whether there is change information whose trend monitoring algorithm before the change is the trend monitoring algorithm A. If the change information exists, the process proceeds to step S202. If the change information does not exist, the process proceeds to step S204. Here, as described with reference to FIG. 6, since there is change information in which the trend monitoring algorithm before the change is the trend monitoring algorithm A and the trend monitoring algorithm after the change is the trend monitoring algorithm D, the process proceeds to step S202.

  The trend monitoring execution unit 112 updates the association information about the trend monitoring algorithm before and after the change (S202). That is, first, the trend monitoring execution unit 112 refers to the device association information storage unit 122, and from the device association information R11 and R12 in the algorithm 41, the remote monitoring device information 51 and the remote monitoring device information associated with the algorithm 41. 52 is acquired. Then, as shown in FIG. 8A, the trend monitoring execution unit 112 associates device association information R41 that associates the algorithm 44, which is information indicating the trend monitoring algorithm D, with the remote monitoring device information 51 with the device association. The information is stored in the information storage unit 122. The trend monitoring execution unit 112 also stores, in the device association information storage unit 122, device association information R42 that associates the algorithm 44 with the remote monitoring device information 52. Thereafter, the trend monitoring execution unit 112 deletes the device association information R11 and R12 from the device association information storage unit 122.

  The trend monitoring execution unit 112 deletes the determined change information (S203). That is, the trend monitoring execution unit 112 deletes the change information associated with the trend monitoring algorithm A before the change and the trend monitoring algorithm D after the change from the change information storage unit 124.

  The trend monitoring execution unit 112 reads the trend monitoring algorithm to be executed and the parameter value of the remote monitoring device information to be executed in the corresponding parameter table (S204). That is, the trend monitoring execution unit 112 reads the execution format program D from the trend monitoring algorithm storage unit 121 and the record 441 of the parameter table 440 from the device parameter storage unit 123.

  The trend monitoring execution unit 112 starts executing the trend monitoring algorithm (S205). That is, the trend monitoring execution unit 112 executes the trend monitoring algorithm D on the collected data corresponding to the remote monitoring device X stored in the collected data storage unit 126 using each parameter value of the record 441.

  The trend monitoring execution unit 112 creates execution information in the executed trend monitoring algorithm (S206). That is, the trend monitoring execution unit 112 stores execution information in the trend monitoring algorithm D in the execution information storage unit 125.

  The trend monitoring execution unit 112 deletes the execution information after the execution of the trend monitoring algorithm is completed (S207). That is, the trend monitoring execution unit 112 deletes the execution information in the trend monitoring algorithm D from the execution information storage unit 125. At this time, if execution information in the same trend monitoring algorithm exists by a plurality of processes, only the execution information corresponding to the own process is deleted.

  Thereby, instead of the trend monitoring algorithm A before the change, the trend monitoring algorithm D after the change is executed with the parameter value corresponding to the remote monitoring device X in the trend monitoring algorithm D, and the trend monitoring algorithm is changed. Can be reflected at the time of execution.

  Accordingly, the device association information R11 and R12 are deleted, and device association information R41 and R42 are created. Thereafter, the trend monitoring algorithm D can be executed from the next time unless changed.

  FIG. 9 is an example of the trend monitoring parameter setting screen 8 according to the present embodiment. The trend monitoring parameter setting screen 8 is a screen that is displayed on the WEB browser of the client terminal 2 and accepts an instruction to change the setting target trend monitoring algorithm and the setting value of the trend monitoring parameter in the remote monitoring device. The trend monitoring parameter setting screen 8 includes a screen message part 81, a title name display part 82, a parameter display part 83, and a change button 84.

  The screen message unit 81 is an area for displaying a message to the user who operates the trend monitoring parameter setting screen 8. The title name display part 82 is an area for displaying a title name in the trend monitoring algorithm to be set. The parameter display unit 83 is a table that displays a trend monitoring algorithm to be set and parameter values in the remote monitoring device. The parameter display unit 83 includes a display item 831, a current value display field 832, and a set value input field 833. The display item 831 is an area for displaying a parameter name. The current value display field 832 is an area for displaying the trend monitoring algorithm to be set and each parameter value stored in the parameter table in the remote monitoring device. The set value input field 833 is an area in which the changed parameter value can be input. When the change button 84 is pressed, the parameter value input in the set value input field 833 is transmitted to the trend monitoring device 1.

  FIG. 10 is a flowchart showing the parameter setting process according to this embodiment. In the trend monitoring system 100 according to the present embodiment, the parameter value for each remote monitoring device in the trend monitoring algorithm set by the algorithm setting unit 113 is a default value. Therefore, the parameter setting unit 114 changes the setting in order to adjust the parameter value for each remote monitoring device. Hereinafter, an example in which the parameter value for the remote monitoring device X in the trend monitoring algorithm D is changed during the execution of the trend monitoring algorithm D will be described.

  First, it is assumed that the user operating the client terminal 2 has already selected the trend monitoring algorithm D and the remote monitoring device X to be changed via the WEB browser. Then, the user displays the trend monitoring parameter setting screen 8 on the client terminal 2, inputs the changed parameter value into the setting value input field 833, and presses the change button 84. Thereafter, the client terminal 2 transfers the parameter value input to the trend monitoring device 1 via the network N. The trend monitoring apparatus 1 receives the changed parameter value received by the communication unit 111 and changed by the parameter setting unit 114 (S301).

  Next, the parameter setting unit 114 determines whether the trend monitoring algorithm to be set is being executed (S302). That is, the parameter setting unit 114 refers to the execution information storage unit 125 and confirms the presence of execution information in the trend monitoring algorithm D. When the execution information exists, the process proceeds to step S303, and when the execution information does not exist, the process proceeds to step S304. Here, since execution information exists, the process proceeds to step S303.

  If there is execution information, the parameter setting unit 114 waits for a predetermined time (S303). That is, when the trend monitoring algorithm D is being executed, the parameter setting unit 114 does not change the parameter value and stops the process for a certain period of time. The fixed time may be, for example, 1 second. Thereafter, the process proceeds to step S302 again to confirm execution information. If the execution of the trend monitoring algorithm D has been completed, the execution information is deleted by the trend monitoring execution unit 112, so the execution information is not confirmed by the parameter setting unit 114, and the process proceeds to step S304.

  If there is no execution information, the parameter setting unit 114 updates the parameter value in the parameter table (S304). That is, the parameter setting unit 114 updates the changed parameter value to the record 441 of the parameter table 440 stored in the device parameter storage unit 123.

  Thereby, the parameter value corresponding to each parameter ID in the trend monitoring algorithm can be set for each remote monitoring device. In addition, when the trend monitoring algorithm whose parameter value is to be changed is being executed, the setting change is waited for, so that the trend monitoring algorithm is not affected.

  From the above, according to the present embodiment, the trend monitoring algorithm and the parameter values for each collected data of the remote monitoring device 3 are collectively managed by the trend monitoring device 1, and the client terminal 2 which is a general-purpose computer system is managed. Therefore, it is not necessary to use a dedicated terminal each time the trend monitoring algorithm and the parameter value are set, and the setting work can be saved.

  Even if the trend monitoring algorithm is being executed, changes to the trend monitoring algorithm and parameter values can be accepted, and the changes will be reflected between the end of execution of the trend monitoring algorithm and the next start. Can do. Therefore, the timing of the setting work can be freely performed without synchronizing with the execution of the trend monitoring algorithm.

  Furthermore, by using the association information between remote monitoring devices and trend monitoring algorithms, and managing the trend monitoring algorithms in a batch, a common trend monitoring algorithm can be created among multiple remote monitoring devices that have collected data with a common change trend. Since it can be applied, changes in the trend monitoring algorithm can be reflected collectively.

  In addition, by using a WEB interface capable of updating parameter values for each parameter table, parameter values can be individually changed when adjusting parameter values for each of a plurality of remote monitoring devices. it can.

Other Embodiments of the Invention
The algorithm setting unit 113 compiles the source code in step S102 of FIG. 6 described above and stores the generated executable program in the trend monitoring algorithm storage unit 121. The compile processing is performed in step S102. You may go outside. In other words, the compilation process may be performed in any process of the algorithm setting unit 113 or before the trend monitoring algorithm is executed by the trend monitoring execution unit 112.

  In the above-described example, the trend monitoring execution unit 112 executes trend monitoring for each collected data corresponding to each of a plurality of remote monitoring devices according to an instruction from the control unit 110. However, the present invention is not limited to this. is not. For example, trend monitoring may be executed based on a schedule registered in advance, or may be executed at an arbitrary timing according to a user instruction.

  In the example described above, the algorithm change is reflected by the trend monitoring execution unit 112 after the processing of the algorithm setting unit 113, but is not limited thereto. That is, the algorithm may be changed after the execution of the trend monitoring algorithm. For example, the algorithm setting unit 113 may check the execution information of the trend monitoring algorithm to be changed as in step S302 of FIG. 10 in the parameter setting unit 114, and may update the associated information immediately if it is not being executed. . In this case, the change information storage unit 124 is not necessary, and the processing of steps S201 to S203 in FIG.

  In the above-described example, the parameter change is performed in the process of the parameter setting unit 114, but is not limited to this. That is, the parameter may be changed after the execution of the trend monitoring algorithm and before the next execution of the trend monitoring algorithm. For example, the change information storage unit 124 stores the change information of the parameter value in addition to the change information of the trend monitoring algorithm, and the parameter setting unit 114 updates the change information for the parameter change as in the algorithm setting unit 113. The trend monitoring execution unit 112 may execute the trend monitoring algorithm after referring to the change information and updating the parameter table.

  Furthermore, the present invention is not limited to the above-described embodiments, and various modifications can be made without departing from the gist of the present invention described above.

It is a block diagram which shows an example of a structure of the tendency monitoring system 100 concerning Embodiment 1 of this invention. It is a block diagram which shows the structure of the tendency monitoring apparatus 1 concerning Embodiment 1 of this invention. It is a figure which illustrates the memory | storage information regarding the management of the tendency monitoring algorithm concerning Embodiment 1 of this invention. It is an example of the tendency monitoring algorithm setting screen 7 concerning Embodiment 1 of this invention. It is an example of the tendency monitoring algorithm concerning Embodiment 1 of this invention. It is a flowchart figure which shows the algorithm setting process concerning Embodiment 1 of this invention. It is a flowchart figure which shows the algorithm execution process concerning Embodiment 1 of this invention. It is an example of the memory | storage information in the algorithm change concerning Embodiment 1 of this invention. It is an example of the tendency monitoring parameter setting screen 8 concerning Embodiment 1 of this invention. It is a flowchart figure which shows the parameter setting process concerning Embodiment 1 of this invention.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Trend monitoring apparatus 2 Client terminal 3 Remote monitoring equipment 7 Trend monitoring algorithm setting screen 8 Trend monitoring parameter setting screen 41-44 Algorithm 51-53 Remote monitoring equipment information 60 Trend monitoring algorithm 71 Screen message part 72 Event handler name display part 73 Algorithm Input unit 74 Scroll bar 75 Execution button 81 Screen message unit 82 Title name display unit 83 Parameter display unit 84 Change button 100 Trend monitoring system 110 Control unit 111 Communication unit 112 Trend monitoring execution unit 113 Algorithm setting unit 114 Parameter setting unit 121 Trend monitoring Algorithm storage unit 122 Device-related information storage unit 123 Device parameter storage unit 124 Change information storage unit 125 Execution information storage unit 126 Collected data storage units 410, 420, 430, 4 40 Parameter table 411, 412, 421, 422, 431, 441, 442 Record 601 Parameter name 602 Parameter ID 603 Default value 604 Algorithm title 831 Display item 832 Current value display field 833 Setting value input field N Network R11, R12, R22, R23, R31, R41, R42 Equipment related information

Claims (6)

A trend monitoring system comprising a trend monitoring device connected to a plurality of remote monitoring devices via a network, and a user terminal connected to the trend monitoring device via a network,
A trend monitoring algorithm storage unit for storing a trend monitoring program in which the trend monitoring algorithm is implemented;
A device association information storage unit that stores device association information indicating association between the trend monitoring algorithm and the remote monitoring device;
A trend monitoring parameter information storage unit that stores trend monitoring parameter information defined in the trend monitoring algorithm in association with a remote monitoring device associated in the device association information of the trend monitoring algorithm;
A change information storage unit that stores change information indicating that the trend monitoring algorithm has been changed;
In response to information indicating a change in the trend monitoring algorithm from the user terminal, storing the trend monitoring algorithm tends trend monitoring algorithm after the change in the storage unit is mounted monitoring program, the trend monitoring algorithm of the changed The defined trend monitoring parameter information is extracted, and the extracted trend monitoring parameter information is associated with the remote monitoring device associated in the device association information of the trend monitoring algorithm before the change in the trend monitoring parameter information storage unit. And a trend monitoring program storage means for storing change information related to the trend monitoring algorithm before the change and the trend monitoring algorithm after the change in the change information storage unit ,
The trend monitoring program trend monitoring algorithm associated in the device association information stored in the device association information storage unit, with to read out from the trend monitoring algorithm storage unit, the device association information of the trend monitoring algorithm the trend trend monitoring parameter information monitoring algorithm associated with the remote monitoring device associated with the read from the trend monitoring parameter information storage unit, using the read trend monitoring parameters, by the read trend monitoring program And trend monitoring execution means for executing trend monitoring processing ,
The trend monitoring execution means stores change information in which the trend monitoring algorithm in the trend monitoring program is changed to the trend monitoring algorithm before the change in the change information storage unit before executing the trend monitoring process by the trend monitoring program. In the case where there is, instead of the device association information of the trend monitoring algorithm before the change, association of the remote monitoring device associated with the trend monitoring algorithm after the change and the device association information of the trend monitoring algorithm before the change Is stored in the device association information storage unit, the trend monitoring program of the trend monitoring algorithm after the change is read from the trend monitoring algorithm storage unit, and the trend monitoring program uses the trend monitoring program to monitor the trend To execute the process,
Trend monitoring system. The trend monitoring system further includes an execution information storage unit that stores execution information indicating that the trend monitoring algorithm is being executed.
When the trend monitoring execution means starts executing the trend monitoring process by the trend monitoring program of the trend monitoring algorithm, the trend monitoring execution means stores the execution information of the trend monitoring algorithm in the execution information storage unit, and When the execution of the trend monitoring process by the trend monitoring program is terminated, the execution information of the trend monitoring algorithm is deleted from the execution information storage unit,
The trend monitoring program storing means, wherein in response to the trend monitoring parameter information information indicating a change of the parameter values in the user terminal, there is to change the parameter value in the trend monitoring parameter information, the trend monitoring If the execution information of the trend monitoring algorithm in tendency monitoring program using parameter information is stored in the execution information storage unit, after which the execution information has been deleted, the parameter value to the trend monitoring parameter information storage unit The trend monitoring system according to claim 2 for storing. A trend monitoring device connected to a plurality of remote monitoring devices and user terminals via a network,
A trend monitoring algorithm storage unit for storing a trend monitoring program in which the trend monitoring algorithm is implemented;
A device association information storage unit that stores device association information indicating association between the trend monitoring algorithm and the remote monitoring device;
A trend monitoring parameter information storage unit that stores trend monitoring parameter information defined in the trend monitoring algorithm in association with a remote monitoring device associated in the device association information of the trend monitoring algorithm;
A change information storage unit that stores change information indicating that the trend monitoring algorithm has been changed;
In response to information indicating a change in the trend monitoring algorithm from the user terminal, storing the trend monitoring algorithm tends trend monitoring algorithm after the change in the storage unit is mounted monitoring program, the trend monitoring algorithm of the changed The defined trend monitoring parameter information is extracted, and the extracted trend monitoring parameter information is associated with the remote monitoring device associated in the device association information of the trend monitoring algorithm before the change in the trend monitoring parameter information storage unit. And a trend monitoring program storage means for storing change information related to the trend monitoring algorithm before the change and the trend monitoring algorithm after the change in the change information storage unit ,
The trend monitoring program trend monitoring algorithm associated in the device association information stored in the device association information storage unit, with to read out from the trend monitoring algorithm storage unit, the device association information of the trend monitoring algorithm the trend trend monitoring parameter information monitoring algorithm associated with the remote monitoring device associated with the read from the trend monitoring parameter information storage unit, using the read trend monitoring parameters, by the read trend monitoring program And trend monitoring execution means for executing trend monitoring processing ,
The trend monitoring execution means stores change information in which the trend monitoring algorithm in the trend monitoring program is changed to the trend monitoring algorithm before the change in the change information storage unit before executing the trend monitoring process by the trend monitoring program. In the case where there is, instead of the device association information of the trend monitoring algorithm before the change, association of the remote monitoring device associated with the trend monitoring algorithm after the change and the device association information of the trend monitoring algorithm before the change Is stored in the device association information storage unit, the trend monitoring program of the trend monitoring algorithm after the change is read from the trend monitoring algorithm storage unit, and the trend monitoring program uses the trend monitoring program to monitor the trend To execute the process,
Trend monitoring device. The trend monitoring system further includes an execution information storage unit that stores execution information indicating that the trend monitoring algorithm is being executed.
When the trend monitoring execution means starts executing the trend monitoring process by the trend monitoring program of the trend monitoring algorithm, the trend monitoring execution means stores the execution information of the trend monitoring algorithm in the execution information storage unit, and When the execution of the trend monitoring process by the trend monitoring program is terminated, the execution information of the trend monitoring algorithm is deleted from the execution information storage unit,
The trend monitoring program storing means, wherein in response to the trend monitoring parameter information information indicating a change of the parameter values in the user terminal, there is to change the parameter value in the trend monitoring parameter information, the trend monitoring If the execution information of the trend monitoring algorithm in tendency monitoring program using parameter information is stored in the execution information storage unit, after which the execution information has been deleted, the parameter value to the trend monitoring parameter information storage unit The trend monitoring device according to claim 3 , wherein the trend monitoring device stores the trend monitoring device. A trend monitoring method comprising a trend monitoring device connected to a plurality of remote monitoring devices via a network, and a user terminal connected to the trend monitoring device via a network ,
In response to information indicating a change in the trend monitoring algorithm from the previous SL user terminal,
In the trend monitoring algorithm storage unit that stores the trend monitoring program in which the trend monitoring algorithm is implemented, the trend monitoring program in which the changed trend monitoring algorithm is implemented is stored ,
The trend monitoring parameter information defined in the changed trend monitoring algorithm is extracted, and the trend monitoring parameter information stored in the device-related information storage unit is associated with the extracted trend monitoring parameter information. Of the device association information shown, the remote monitoring device associated in the device association information of the trend monitoring algorithm before the change is associated with the trend monitoring parameter information defined in the trend monitoring algorithm, and the trend monitoring algorithm Stored in a trend monitoring parameter information storage unit for storing in association with the remote monitoring device associated in the device association information, and
A trend monitoring program storage step for storing change information regarding the trend monitoring algorithm before the change and the trend monitoring algorithm after the change in a change information storage unit that stores change information indicating that the trend monitoring algorithm has been changed ;
The trend monitoring program trend monitoring algorithm associated in the device association information stored in the device association information storage unit, with to read out from the trend monitoring algorithm storage unit, the device association information of the trend monitoring algorithm the trend trend monitoring parameter information monitoring algorithm associated with the remote monitoring device associated with the read from the trend monitoring parameter information storage unit, using the read trend monitoring parameters, by the read trend monitoring program A trend monitoring execution step for executing trend monitoring processing ,
In the trend monitoring execution step, change information in which the trend monitoring algorithm in the trend monitoring program is changed to the trend monitoring algorithm before the change is stored in the change information storage unit before the trend monitoring process is executed by the trend monitoring program. In the case where there is, instead of the device association information of the trend monitoring algorithm before the change, association of the remote monitoring device associated with the trend monitoring algorithm after the change and the device association information of the trend monitoring algorithm before the change Is stored in the device association information storage unit, the trend monitoring program of the trend monitoring algorithm after the change is read from the trend monitoring algorithm storage unit, and the trend monitoring program uses the trend monitoring program to monitor the trend To execute the process,
Trend monitoring method. In the trend monitoring execution step, when the execution of the trend monitoring process by the trend monitoring program of the trend monitoring algorithm is started, execution information of the trend monitoring algorithm is stored in the execution information storage unit, and the trend monitoring algorithm When the execution of the trend monitoring process by the trend monitoring program is terminated, the execution information of the trend monitoring algorithm is deleted from the execution information storage unit,
The trend monitoring program storing step, said in response to the trend monitoring parameter information information indicating a change of the parameter values in the user terminal, there is to change the parameter value in the trend monitoring parameter information, the trend monitoring If the execution information of the trend monitoring algorithm in tendency monitoring program using parameter information is stored in the execution information storage unit, after which the execution information has been deleted, the parameter value to the trend monitoring parameter information storage unit The trend monitoring method according to claim 5 , wherein the trend monitoring method is stored.

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