JP2006155555A - Abnormality deciding device and abnormality deciding method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an abnormality deciding device for enabling a system manager to appropriately and easily decide a criterion for deciding the abnormality of this system where the arbitrary types or number of sensors are installed. <P>SOLUTION: This abnormality deciding device 100 for deciding whether or not a decision object system 50 equipped with a sensor group 51 for measuring an event is abnormal is provided with a criterion group information storing part 160 for storing criterion group information for defining a plurality of criteria for deciding whether or not the system is abnormal by using each measurement value concerning each event as a basis, a measurement event identification information acquiring part 140 for acquiring measurement event identification information for identifying each event to be measured by each sensor, a criterion selecting part 170 for selecting a criterion by using each measurement value concerning each event to be identified by the measurement event identification information as a basic by referring to the criterion group information, a deciding part 180 for making a decision based on each measurement value from each sensor by using the selected criterion and a display part 120 for displaying the decision result. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to an abnormality determination device for determining whether or not various systems equipped with sensors are normal, and more particularly to a technique for selecting an abnormality determination criterion.

Conventionally, in various systems such as building air conditioning systems and water and sewage treatment systems, each measured value of each event measured by a number of sensors installed in each part of the system is monitored, and each measured value is a predetermined abnormality. There is known an abnormality determination device that determines an abnormal state when a determination condition is satisfied (see, for example, Patent Document 1).
Note that events measured by the sensor include, for example, temperature, pressure, power, gas concentration, and the like.
JP 2002-62928 A

  By the way, when the system to be determined by the abnormality determination device is, for example, an air conditioning system or other control system in a building in which a large number of sensors are arranged, the type and number of sensors provided in the building are different for each building. Since there are many differences, the setting of the abnormality determination condition to the conventional abnormality determination device provided in each building must be performed based on the installation status of the sensor for each building.

In recent years, the building of IT (Information Technology) has progressed in buildings, and the number of buildings with a large number of sensors has increased. It is appropriate to make an abnormality determination with high accuracy by effectively using the sensors of these buildings. In order to set an abnormality determination criterion, a large number of advanced expertise such as a control model and statistics regarding each event to be measured by each sensor is required.
For this reason, for example, it is not easy for each manager of each building to set abnormality determination conditions individually in the conventional abnormality determination device of the building.

This problem is not limited to the setting of abnormality criteria for determining abnormalities in systems related to buildings, but also to systems related to various buildings such as factories and warehouses that have a large number of sensors. This also applies to the setting of evaluation criteria when evaluating abnormalities and the like.
Therefore, the present invention has been made in view of such a problem, and in the case of evaluating an abnormality determination or the like for an arbitrary system among a plurality of systems having different types and numbers of sensors, the management of the system is performed. Provide a technique that enables a person to determine an evaluation standard suitable for a system to be evaluated more easily than before, and provides an abnormality determination device that uses the technique to determine an abnormality of each system. For the purpose.

  In order to solve the above problems, an abnormality determination apparatus according to the present invention is an abnormality determination apparatus that determines whether or not the state of the system is abnormal, with a system including one or more sensors that measure an event as a determination target. A storage unit storing determination criterion group information defining a plurality of different determination criteria for determining whether or not there is an abnormality based on each measurement value for one or more events; The event identification information acquisition means for acquiring measurement event identification information for identifying each event measured by each sensor provided in the target system, and the determination criterion group information are referred to, and are identified by the measurement event identification information. Each criterion measured by each of the sensors provided in the system to be judged, and a judgment criterion selection means for selecting a judgment criterion for making a judgment based on each measured value of each event A determination unit that obtains a value and performs determination based on the determination criterion selected by the determination criterion selection unit based on each measurement value; and an output unit that outputs a determination result by the determination unit. Features.

  Note that the selection of the determination criteria by the determination criterion selection means is performed by selecting a specific one from among a plurality of determination criteria defined in the reference criterion group information to be referred to, and the reference criterion group information to be referred to. When selected from a plurality of defined criteria and the input value obtained from the outside, and the input value is combined to generate a new criterion and select this criterion There is.

  With the above-described configuration, the abnormality determination device according to the present invention is relatively easy, for example, by simply providing the abnormality determination device with measurement event identification information indicating an event measured by a sensor provided in the system by a system administrator or the like. What kind of system is to be judged by performing measurement work or obtaining measurement event identification information based on information automatically collected from each sensor that outputs measurement event identification information Depending on whether a sensor for measuring an event is provided, a criterion for making a determination based on a measurement value measured by the sensor is selected, so that a determination suitable for any system is possible. This produces the effect.

  In addition, the determination criterion group information is substantially equivalent to the variable for each of one or more variables included in the basic equation and a basic equation that is a criterion including one or more variables corresponding to each event. A replacement formula that is a substitution formula and includes a variable corresponding to one or more events different from the corresponding variable, so that the event corresponding to the variable included in each formula can be identified. As long as there is a variable corresponding to an event other than each event identified by the measurement event identification information among the variables included in the basic formula, the determination criterion selection unit determines the variable in the basic formula. By substituting one of the substantially equivalent mathematical expressions for substitution, the determination criterion related to the basic mathematical expression is selected, and the determination means converts the acquired measurement values into the basic mathematical expression related to the selected determination criterion. Oke It is also possible to perform the determination by by substituting the appropriate variable performs calculation of the basic formula.

  As a result, a plurality of determination criteria are represented by a combination of a basic formula corresponding to one determination criterion itself and a replacement formula for replacing each of the one or more variables. In the case where the formula is found to be inaccurate, it will be easier to reduce the amount of data if the decision criteria group information is embodied more appropriately than if it is expressed by a plurality of formulas corresponding to itself. It is possible to easily correct only a part of the replacement equations.

  Further, the storage means further stores replacement error information indicating the degree of difference between the replacement mathematical expression and the substantially equivalent corresponding variable in association with each replacement mathematical expression. The means is based on replacement error information corresponding to each replacement mathematical expression related to all replacements that have been performed up to and including the replacement, with respect to any replacement mathematical expression substantially equivalent to the variable. The calculation may be performed only for the replacement formulas such that when the error of the basic formula after the replacement is calculated, the error becomes smaller than a predetermined threshold.

As a result, the determination criterion to be used for the determination becomes highly accurate to some extent, and it can be determined to some extent accurately whether or not the determination target system is abnormal.
In addition, the determination criterion selection unit performs the determination without using a measurement value for an event other than each event identified by the measurement event identification information among a plurality of determination criteria defined by the determination criterion group information. When there is a determination criterion for performing, the determination criterion may be selected.

  As a result, based on the measurement value actually measured by the sensor included in the determination target system, instead of the predicted value or standard value for a certain event as input by a user such as a system administrator, Since the determination can be performed, more accurate determination can be performed. In the present invention, the criterion group information stored in advance in the storage means of the abnormality determination device is based on the premise that an expert has set in advance based on scientific theory or statistical knowledge. If properly used, it is preliminarily compared with a case where a new determination criterion is determined by combining a predetermined determination criterion and a value input by a user in the field such as a system administrator to perform determination. As long as the defined criterion can be applied as it is, when the determination is performed using the criterion, it can be expected that the accuracy of the determination is increased to some extent.

  In addition, the abnormality determination device further includes an input reception unit that receives an input value by a user, the output unit can further output input request information related to an input request, and the determination criterion selection unit includes In the case where there is no determination criterion for making a determination without using a measurement value for an event other than each event identified by the measurement event identification information among a plurality of determination criteria defined by the determination criterion group information. The smallest number of measurement values for events other than each event identified by the measurement event identification information, based on the determination criteria, among a plurality of determination criteria defined by the determination criteria group information The judgment means is selected and input request information indicating an event other than each event identified by the measurement event identification information in the selected judgment criteria is output to the output means. A new determination criterion is generated in which the input value received by the input receiving means is used in place of a measurement value for an event other than each event identified by the measurement event identification information in the selected determination criterion. The determination criteria may be selected.

This minimizes the number of information related to events that require user input even when determining a system that cannot apply any of the predefined criteria. Although specialized knowledge is required for input, the input is quantitatively suppressed, and the difficulty of input is moderated to some extent.
Further, in the abnormality determination device, each sensor measures a predetermined physical quantity at each predetermined measurement point, and the measurement event identification information indicates each event measured by each sensor by the name of the measurement point. The information is defined by an identification name that combines the name of the physical quantity and the name of the physical quantity, and the determination criterion group information includes one or more variables corresponding to one event or comprehensively corresponding to a plurality of events, and serves as a determination criterion. The basic formula and the replacement formula used to replace the variables of the basic formula are represented by variable names including the names of measurement points for variables corresponding to one event, and multiple for variables that comprehensively correspond to multiple events. Is a variable name including a comprehensive name of the measurement point, and the determination criterion selection means is a variable included in the basic mathematical expression, except for each event identified by the measurement event identification information. As long as there is a variable corresponding to the event, the criterion for the basic formula is selected by replacing the variable in the basic formula with the replacement formula, and the variable corresponds to one event in the selection. In some cases, if an identification name that matches the variable name is not defined, the variable is assumed to be a variable corresponding to an event other than each event identified by the measured event identification information, and the variable is In the case of a comprehensive response to multiple events, if no matching identification name is defined for each of the multiple measurement point names corresponding to the variable name, the variable is identified by the measurement event identification information. The replacement is performed assuming that there is a variable corresponding to an event other than each event, and the determination means uses the basic formula related to the selected determination criterion for each acquired measurement value. When the determination is performed by substituting the corresponding basic formula in the corresponding variable in the calculation, and the variable in the basic formula related to the selected criterion is a variable that comprehensively corresponds to a plurality of events at the time of the substitution Alternatively, each measurement value corresponding to each of the plurality of events may be sequentially substituted.

As a result, it becomes possible to express basic mathematical expressions or replacement mathematical expressions using variables that comprehensively correspond to a plurality of events. For example, it is possible to collectively represent the same type of sensors on each floor in a building. Become. Therefore, there is a possibility that the mathematical formula becomes simple and the work load such as correction becomes easy, and there is a possibility that the amount of data defining the mathematical formula can be reduced.
An evaluation criterion selection device according to the present invention is an evaluation criterion selection device that selects an evaluation criterion for evaluating a state of the system with a system including one or more sensors that measure an event as an evaluation target. Measured by storage means that stores information defining multiple different evaluation criteria for performing evaluation based on each measurement value for two or more events, and by each sensor provided in the evaluation target system Event identification information acquisition means for acquiring measurement event identification information for identifying each event to be performed, and among the plurality of evaluation criteria, the measurement event identification is included in all the measurement values based on the evaluation criteria Evaluation criteria selection means for selecting an evaluation criteria that does not include a measurement value for an event other than each event identified by the information.

  With the above-described configuration, the evaluation criterion selection device according to the present invention is, for example, a system administrator or the like that only gives measurement event identification information indicating an event measured by a sensor included in the system to the abnormality determination device. What is the system to be judged by performing easy work, or obtaining measurement event identification information based on information automatically collected from each sensor that outputs measurement event identification information, etc. Depending on whether a sensor for measuring a specific event is provided, an evaluation standard for evaluating the system is selected based on the measurement value measured by the sensor, so that evaluation suitable for any system can be performed. The effect is to make it possible.

<Embodiment 1>
Hereinafter, the abnormality determination apparatus according to the first embodiment of the present invention will be described.
<Configuration of abnormality determination device>
FIG. 1 is a configuration diagram of an abnormality determination device 100 according to Embodiment 1 of the present invention. In the figure, a determination target system 50 that is a determination target of the abnormality determination apparatus 100 is also appended.

  The abnormality determination device 100 is a device that determines whether or not the status of the determination target system 50 is abnormal. The abnormality determination device 100 is realized by a computer connected to the determination target system 50, and the functional components shown in FIG. As shown, the operation unit 110, the display unit 120, the measurement value acquisition unit 130, the measurement event identification information acquisition unit 140, the input reception unit 150, the determination criterion group information storage unit 160, the determination criterion selection unit 170, and the determination unit 180 are provided.

  The determination target system 50 is a system including various sensor groups 51 that measure various events. In the first embodiment, the determination target system 50 is an air conditioning management system in a building including an air conditioner, a heat source, and the like, and the sensor group 51 connects a sensor or an air conditioner related to the air conditioner in the building and a heat source. The case where it is a sensor etc. relevant to the piping for flowing water to perform is demonstrated to an example. However, the abnormality determination apparatus 100 determines that any determination target system 50, that is, any determination target system among a large number of determination target systems having different numbers and types of sensor groups can be appropriately determined. Has the ability to customize criteria.

The operation unit 110 is a device that accepts user operations such as a keyboard and a mouse, and the display unit 120 is a display device that displays information so that the user can visually recognize it. Note that the user of the abnormality determination device is, for example, an administrator of the determination target system.
The measurement value acquisition unit 130 is connected to the sensor group 51 and is an interface device for acquiring measurement values of various events transmitted from the sensor group 51.

The measurement event identification information acquisition unit 140 acquires measurement event identification information for identifying an event measured by the sensor group 51 via the operation unit 110, and stores the measurement event identification information in a memory or the like. Have The contents of the measurement event identification information will be described later.
The input reception unit 150 has a function of acquiring an input value input by the user via the operation unit 110 and transmitting the acquired value to the determination criterion selection unit 170.

The determination criterion group information storage unit 160 is realized as a partial area of a storage medium such as a hard disk or other recording medium, or a non-volatile memory, and determines whether or not the status of the determination target system 50 is abnormal. Determination criterion group information in which a plurality of determination criteria are defined is stored in advance. The criteria group information will be described in detail later.
The determination criterion selection unit 170 includes a selection unit 171 and a generation unit 172, selects a determination criterion for determining whether or not the situation of the determination target system 50 is abnormal, and indicates the selected determination criterion It has a function of performing a criterion selection process for transmitting to the determination unit 180. Details of this determination criterion selection processing will be described later.

  Here, the selection unit 171 is defined by the determination criterion group information stored in the determination criterion group information storage unit 160 by referring to the measurement event identification information held by the measurement event identification information acquisition unit 140. It has a function of selecting one of a plurality of determination criteria. The selection unit 171 selects the determination criterion when there is a determination criterion that can be determined only by the measurement value that can be acquired from the sensor group 51, and in other cases, the measurement value that can be acquired from the sensor group 51. In addition, a determination criterion that can be determined if some information is added is selected, and the determination criterion is displayed via the display unit 120.

The generation unit 172 uses the user input value transmitted from the input reception unit 150 when the determination criterion selected by the selection unit 171 is a determination criterion that cannot be determined only from the measurement values that can be acquired from the sensor group 51. Thus, it has a function of newly generating a determination criterion that can be determined only from the measurement values that can be acquired from the sensor group 51.
In addition, the determination unit 180 includes a reference storage unit 181 that is a memory area for storing information indicating the determination criterion selected by the determination criterion selection unit 170, and each of the sensor groups 51 from the sensor group 51 via the measurement value acquisition unit 130. Each measurement value for the event is acquired, and based on each measurement value and the selected determination criterion, it is determined whether the determination target system 50 is in an abnormal state, and information indicating the determination result is obtained. The display unit 120 has a function of displaying.

The functions of the measurement event identification information acquisition unit 140, the input reception unit 150, the determination criterion selection unit 170, and the determination unit 180 are executed by the memory itself and a program stored in the memory is executed by a CPU (Central Processing Unit). This is realized.
<Data handled by the abnormality determination device>
Hereinafter, data handled by the abnormality determination device 100 having the above-described configuration will be described.

FIG. 2 is a diagram illustrating a data configuration and content example of the determination criterion group information.
The criterion group information 200 stored in the criterion group information storage unit 160 is composed of basic mathematical formula information 210 and replacement information 220, and each information content is set by an expert based on scientific theory or statistical knowledge. Has been.
Here, the basic mathematical expression information 210 is information defining a mathematical expression (hereinafter referred to as “basic mathematical expression”) that is a determination criterion for determining whether or not the determination target system 50 is in an abnormal state. The variable in the mathematical formula corresponds to an event that can be measured by the sensor, and the mathematical formula can be specifically used for the determination by substituting the measured value measured by the sensor into the variable.

  The replacement information 220 indicates a mathematical expression that can replace a variable of the basic mathematical expression, and is information that includes a plurality of sets of a replacement target variable 221 and a replacement mathematical expression 222. The replacement target variable 221 and the replacement formula 222 have predetermined contents that can be regarded as equivalent to each other. Therefore, in view of the replacement result by the replacement information 220, it can be said that the combination of the basic mathematical expression information 210 and the replacement information 220 is information that specifies a plurality of determination criteria as a result.

Hereinafter, the variables, functions, replacement target variables, and the like in the basic formula and the replacement formula illustrated in FIG. 2 will be described.
Each variable corresponds to each event, and the event includes an event that cannot be measured by the sensor group 51 provided in a specific determination target system 50.
As a variable name, a name representing an event based on a predetermined naming rule is defined.

AHU_QA is the amount of heat for the air of the air conditioner.
AHU_QW is the amount of heat for the water of the air conditioner.
AHU_VAV_GA is the air volume of the air conditioner.
AHU_HAra is the environment side enthalpy of the air conditioner.
AHU_HAsa is the supply side enthalpy of the air conditioner.

AHU_GW is the amount of inflow water from the air conditioner.
AHU_TWout is the outlet water temperature of the air conditioner.
AHU_TWin is the inlet water temperature of the air conditioner.
HDret_TW is the water temperature of the reflux path of the heat source.
HDsup_TW is the water temperature of the heat source supply path.

AHU_DBra is the air dry bulb temperature of the air conditioner.
AHU_RHra is the ambient relative humidity of the air conditioner.
AHU_DBsa is the supply air dry bulb temperature of the air conditioner.
AHU_RHsa is the supply air relative humidity of the air conditioner.
AHU_ATF is the air conveyance efficiency of the air conditioner.

AHU_FAN_PP is the power consumption of the air conditioner fan.
Enthalpy is a function for calculating the enthalpy from the dry bulb temperature and the relative humidity, and the determination unit 180 has a function for calculating the Enthalpy function and other functions.
According to this predetermined naming rule, an event is represented by a character string formed by concatenating the character string symbol corresponding to the name of the measurement point and the character string symbol corresponding to the name of the physical quantity with “_”. As the name of the measurement point, “AHU” represents the air conditioner, “HD” represents the heat source, and as the name of the physical quantity, for example, “QA” represents the heat quantity of the air. “QW” represents the heat quantity of water.

  The condition defined by the inequality | AHU_QA−AHU_QW | ≦ 50, that is, the difference between the amount of heat supplied into the room using air as a medium and the amount of heat supplied from the heat source as an aqueous medium is small, and is not more than a predetermined value of 50 The basic mathematical formula is determined in advance so that it is not abnormal if the condition is satisfied and is abnormal if the condition is not satisfied. That is, the basic mathematical formula is not unique to a certain building but is a mathematical formula that can be commonly applied to an air conditioning management system in various buildings.

FIG. 3 is a diagram illustrating a data configuration and example contents of measurement event identification information.
The measurement event identification information is information indicating each event measured by each sensor of the sensor group 51 provided in the determination target system 50, and is expressed so that the measurement value from each sensor can be identified. .
Each event is represented by a name based on the same predetermined naming convention as shown in FIG. The user inputs this measurement event identification information to the operation unit 110.

Here, the names not described above will be described. HDsup_PW is the water pressure in the heat source supply path, and HDret_PW is the water pressure in the reflux path of the heat source.
<Operation of abnormality determination device>
Hereinafter, the operation of the abnormality determination apparatus 100 having the above-described configuration and handling the above-described data will be described.

The abnormality determination device 100 is customized so as to be adapted to the determination target system 50 before actually performing the determination, and a determination criterion selection process for selecting a determination criterion for use in actual determination is performed by the device. This is performed when there is a change in the initial stage of operation or the number of sensors in the determination target system.
4 and 5 are flowcharts showing a determination criterion selection process in the abnormality determination device 100. FIG.

Hereinafter, the determination criterion selection process performed by the determination criterion selection unit 170 will be described with reference to the flowcharts of FIGS. 4 and 5.
First, the selection unit 171 pays attention to the basic formula stored in the determination criterion group information storage unit 160 (step S11), and determines whether or not a variable corresponding to a non-measurement event is included in the target formula. (Step S12).

  Here, the non-measurement event refers to an event that is not measured by the sensor group 51. That is, the selection unit 171 refers to the measurement event identification information held by the measurement event identification information acquisition unit 140, and the variable corresponding to the event other than the event indicated by the measurement event identification information is being focused on. It is discriminated whether it is included in the formula. For example, since the variable AHU_QA in the basic formula illustrated in FIG. 2 is not included in the measurement event identification information illustrated in FIG. 3, in step S12, if the focus is on the basic formula, a non-measurement event is detected. It will be determined that the corresponding variable is included.

If it is determined in step S12 that the variable corresponding to the non-measurement event is not included, the selection unit 171 stores information indicating the mathematical expression under attention in the reference storage unit 181 (step S23), and the determination criterion. Finish the selection process.
On the other hand, if it is determined in step S12 that the variable corresponding to the non-measurement event is included, the selection unit 171 is a variable corresponding to the non-measurement event in the mathematical expression under consideration, and is still directly Focusing on a variable that is not focused (step S13), it is determined whether or not the focused variable can be replaced (step S14). The selection unit 171 determines whether or not replacement is possible depending on whether or not the focused variable is set as the replacement target variable 221 of the replacement information 220 in the determination criterion group information storage unit 160. For example, since the replacement target variable AHU_QA is included in the replacement information illustrated in FIG. 2, if the variable AHU_QA in the basic mathematical expression is focused in step S13, a positive determination is made in step S14. That is, it is determined that replacement is possible.

  If it is determined in step S14 that the variable can be replaced, the selection unit 171 sets the variable under attention in the numerical expression under consideration to the replacement numerical expression 222 that forms a pair with the variable under attention, that is, the replacement target variable 221. The replaced mathematical expression is stored in the memory area (step S15), and it is determined whether or not the mathematical expression under attention includes a variable corresponding to a non-measurement event and not yet focused (step S16). ), If a variable that has not been focused on is included, the process returns to step S13 again. If it is determined in step S14 that the replacement is not possible, the selection unit 171 proceeds to the process of step S16 without performing the process of step S15.

In step S15, if there are a plurality of replacement formulas 222 corresponding to the variable under consideration, the selection unit 171 also stores a plurality of replacement formulas.
According to the example of FIG. 2 described above, the mathematical expression stored by replacing the variable AHU_QA in step S15 is the following formula 1.
[Equation 1] | AHU_VAV_GA * (AHU_HAra − AHU_HAsa) − AHU_QW | ≦ 50
If it is determined in step S16 that the current mathematical expression does not include a variable corresponding to a non-measurement event and not yet focused, the selection unit 171 stores the variable in the memory area. It is determined whether or not there is a mathematical expression that has not yet been focused on among the replaced mathematical formulas (step S17), and if a positive determination is made, the selection unit 171 performs the replacement that has not yet been focused on. While paying attention to the later mathematical expression (step S18), the process returns to the determination process of step S12. If the determination is negative in step S17, the selection unit 171 selects a mathematical expression that includes the smallest number of variables corresponding to the non-measurement event from among the mathematical expressions of interest (step S19). Then, a message prompting the user to input information representing the non-measurement event in the mathematical formula is displayed through the display unit 120 together with information indicating the mathematical formula (step S20).

2 and FIG. 3, the mathematical formula selected in step S19 is the following formula 2.
[Formula 2] | AHU_VAV_GA * (Enthalpy (AHU_DBra, AHU_RHra)
− Enthalpy (AHU_DBsa, AHU_RHsa))
− AHU_GW * (HDret_TW − HDsup_TW) ｜ ≦ 50
After the selection unit 171 selects a mathematical expression that includes a variable corresponding to the non-measurement event and is prompted to input information representing the measurement value of the non-measurement event, the generation unit 172 acquires the mathematical expression and inputs it. An input value input by the user via the receiving unit 150 is acquired (step S21), a new mathematical expression is generated by substituting the input value for the non-measurement event in the mathematical expression (step S22), and the new mathematical expression Is stored in the criterion storage unit 181 (step S23), and the determination criterion selection process is terminated. In step S21, when the formula includes a plurality of variables corresponding to non-measurement events, the generation unit acquires a plurality of input values corresponding to each event input by the user.

If AHU_VAV_GA is a variable corresponding to a non-measurement event and the determination target system 50 is a constant air volume system in the mathematical expression shown in the above formula 2, the user inputs a value that becomes the standard air volume, for example, a fixed value 120 To do.
The user needs to input a value that would correspond to a standard measurement value of the event based on, for example, statistical information. Since the input is suppressed to a necessary minimum, the burden on the user is reduced to some extent.

The mathematical formula related to the information stored in the reference storage unit 181 by the above-described determination criterion selection process does not include a variable corresponding to the non-measurement event, and the determination criterion actually used for the determination by the determination unit 180 is Become.
After the determination criterion selection process is completed, in the operation stage of the abnormality determination device 100, each measurement value corresponding to each event is transmitted to the determination unit 180 via the measurement value acquisition unit 130 from each sensor of the sensor group 51 in a timely manner. Then, the determination unit 180 identifies which event the measurement value is based on the measurement event identification information held in the measurement event identification information acquisition unit 140, and stores each measurement value in the reference storage unit 181. By substituting into the corresponding variable in the mathematical expression related to the information stored in the information, it is determined whether or not the determination target system 50 is normal depending on whether or not the mathematical expression is satisfied. For example, as illustrated in FIG. 3, the first measured value measured by the sensor is substituted into the variable AHU_DBsa corresponding to the supply air dry-bulb temperature of the air conditioner in the mathematical formula serving as the determination criterion, and the second measured value. Is substituted into a variable AHU_RHsa corresponding to the supply air relative humidity of the air conditioner.

After the determination, the determination unit 180 displays a screen indicating the determination result via the display unit 120.
As a result, the user can confirm whether the determination target system 50 is operating normally or an abnormality has occurred through the display unit 120.
<Embodiment 2>
Hereinafter, an abnormality determination apparatus according to Embodiment 2 of the present invention will be described. The abnormality determination device according to the second embodiment is a slightly modified version of the abnormality determination device according to the first embodiment described above. When replacing some of the variables in the basic mathematical formula with other mathematical formulas, Replacement is performed only when the error based on the degree of equivalence is below a certain level.

Here, regarding the abnormality determination device according to the second embodiment, the same parts and the same processes as those of the abnormality determination device 100 shown in the first embodiment will be described using the same reference numerals as those in the first embodiment, and are different from the first embodiment. Only the point will be described in detail.
<Criteria group information>
FIG. 6 is a diagram illustrating a data configuration and example contents of determination criterion group information according to the second embodiment.

The determination criterion group information is stored in the determination criterion group information storage unit 160 and includes basic mathematical formula information 210 and replacement information 240.
The replacement information 240 indicates a mathematical expression that can replace the variable of the basic mathematical expression indicated by the basic mathematical expression information 210 and a replacement error that occurs when the replacement is performed, and includes a replacement target variable 241, a replacement mathematical expression 242, and a replacement error 243. It is information composed of multiple sets. The replacement target variable 241 and the replacement formula 242 have predetermined contents that can be regarded as equivalent to each other, and a replacement error indicating a certain degree of mutual equivalent is also determined in advance.

FIG. 6 shows that, for example, the error that occurs when the replacement target variable AHU_QA is replaced with a replacement formula AHU_VAV_GA * (AHU_HAra−AHU_HAsa) is 5%.
<Criteria selection process>
FIG. 7 is a flowchart showing a part of the determination criterion selection process, and is a flowchart obtained by modifying FIG. 4 showing a part of the determination criterion selection process of the first embodiment.

The determination criterion selection process performed by the abnormality determination device according to the second embodiment is replaced with a new replacement immediately after the selection unit 171 makes a positive determination in step S14 in the determination criterion selection process shown in the first embodiment. Step S141 for determining whether or not the subsequent error is equal to or less than a predetermined threshold value is added.
In other words, the selection unit 171 pays attention to a variable that corresponds to a non-measurement event in the numerical expression that is being focused on, and that has not been directly focused on (step S13). It is determined whether or not the variable can be replaced (step S14). If it is determined that the variable can be replaced, the selection unit 171 refers to the replacement error 243 in the replacement information 240 to determine the replacement. It is determined whether or not the total error in the resulting mathematical expression is less than or equal to a predetermined threshold (step S141). If the error is less than or equal to the predetermined threshold, the mathematical expression in which the variable is replaced is stored (step S15). If the error is larger than the predetermined threshold value, the mathematical expression replacing the variable is not stored.

Note that when the replaced mathematical expression is stored in step S15, the error is also stored. Specifically, when saving the replaced mathematical expression, if there is an error related to the pre-replacement mathematical expression that has already been saved, the error related to the replacement mathematical expression is determined from the error and the replacement error related to the replacement. The error, which is the result of the calculation, is stored using the following formula.
According to the abnormality determination device according to the second embodiment, the mathematical formula selected as the determination criterion actually used for the determination has a small error.
<Embodiment 3>
Hereinafter, an abnormality determination apparatus according to Embodiment 3 of the present invention will be described. The abnormality determination apparatus according to the third embodiment is a slightly modified version of the abnormality determination apparatus according to the first embodiment described above, and stores a plurality of mathematical expressions that directly indicate the determination criteria, instead of replacing the variables of the basic mathematical expressions. In addition, the determination criteria to be actually used for determination are selected by referring to the plurality of determination criteria.

Here, regarding the abnormality determination device according to the third embodiment, the same parts and the same processes as those of the abnormality determination device 100 shown in the first embodiment will be described using the same reference numerals as those in the first embodiment, and are different from the first embodiment. Only the point will be described in detail.
<Configuration of abnormality determination device>
FIG. 8 is a configuration diagram of the abnormality determination device 400 according to the third embodiment of the present invention. In the figure, a determination target system 50 that is a determination target of the abnormality determination device 400 is also appended.

  The abnormality determination device 100 is a device that determines whether or not the status of the determination target system 50 is abnormal. The abnormality determination device 100 is realized by a computer connected to the determination target system 50, and the functional components shown in FIG. As described above, the operation unit 110, the display unit 120, the measurement value acquisition unit 130, the measurement event identification information acquisition unit 140, the input reception unit 150, the selection reception unit 455, the determination criterion group information storage unit 460, the determination criterion selection unit 470, and the determination Part 180.

Here, the selection accepting unit 455 has a function of accepting an instruction to select a criterion from the user via the operation unit 110 and transmitting the instruction to the criterion selecting unit 470.
The criterion group information storage unit 460 is realized as a partial area of a storage medium such as a hard disk or other recording medium, or a nonvolatile memory, and is used to determine whether or not the status of the determination target system 50 is abnormal. Determination criterion group information in which a plurality of determination criteria are defined is stored in advance. The determination criterion group information is different from the determination criterion group information in the first embodiment in specific contents, and will be described in detail later.

  The determination criterion selection unit 470 includes a selection unit 471 and a generation unit 172, selects a determination criterion for determining whether or not the situation of the determination target system 50 is abnormal, and indicates the selected determination criterion It has a function of performing a criterion selection process for transmitting to the determination unit 180. This determination criterion selection process is different from the determination criterion selection process in the first embodiment, and will be described in detail later.

Here, the selection unit 471 is defined by the determination criterion group information stored in the determination criterion group information storage unit 460 by referring to the measurement event identification information held by the measurement event identification information acquisition unit 140. It has a function of selecting one of a plurality of determination criteria.
The selection unit 471 selects a determination criterion that can be determined only by measurement values that can be acquired from the sensor group 51, and in other cases, the measurement value that can be acquired from the sensor group 51. In addition to the above, a determination criterion that can be determined if any information is added is selected as long as it exists, and each determination criterion is displayed via the display unit 120, and any of the displayed determination criterion is selected via the selection receiving unit 455. The selection criterion is selected by receiving the selection instruction.

Further, the generation unit 172 receives the input value by the user transmitted from the input reception unit 150 when the determination criterion selected by the selection unit 471 is a determination criterion that cannot be determined only from the measurement values that can be acquired from the sensor group 51. By using this, it has a function of newly generating a determination criterion that can be determined only from the measurement values that can be acquired from the sensor group 51.
<Data handled by the abnormality determination device>
Hereinafter, determination criterion group information handled by the abnormality determination device 400 having the above-described configuration will be described.

FIG. 9 is a diagram illustrating a data configuration and example contents of determination criterion group information.
The determination criterion group information stored in the determination criterion group information storage unit 460 is information including a plurality of sets of the determination criterion 251 and the error 252. It should be noted that the variables in the determination criterion formulas shown in the example of the content in the figure are named based on the same naming rules as those described in the first embodiment.

Formulas for each criterion are determined in advance so that it is determined to be normal if the formula is satisfied and to be abnormal if the formula is not satisfied. The error 252 is an error related to the accuracy of the determination criterion 251 that forms a pair with the error 252 and is appropriately determined in advance for each determination criterion.
<Operation of abnormality determination device>
The abnormality determination device 400 is customized so as to be adapted to the determination target system 50 before actually performing the determination, and a determination criterion selection process for selecting a determination criterion for use in actual determination is performed by the device. This is performed when there is a change in the initial stage of operation or the number of sensors in the determination target system.

FIG. 10 is a flowchart showing determination criterion selection processing in the abnormality determination device 400.
The determination criterion selection process performed by the determination criterion selection unit 470 will be described below with reference to the flowchart of FIG.
First, the selection unit 471 searches for a mathematical expression that does not include a variable corresponding to a non-measurement event among a plurality of mathematical expressions indicating a plurality of determination criteria stored in the determination criterion group information storage unit 460 (step S31).

When this search is successful (step S32), that is, when a mathematical expression related to the criterion that does not include a variable corresponding to the non-measurement event is stored in the criterion group information storage unit 460, the selection unit 471 Information indicating the mathematical expression is stored in the reference storage unit 181 of the determination unit 180 (step S37), and the determination reference selection process is terminated.
If the search in step S31 fails (step S32), the selection unit 471 determines the formula of each determination criterion 251 stored in the determination criterion group information storage unit 460 via the display unit 120. The list is displayed in association with the error 252 corresponding to the reference (step S33). In the enumeration display, a message requesting selection by any of the displayed determination criteria is also shown.

Subsequent to step S33, when the user gives a selection instruction indicating any mathematical expression of the criterion, the selection unit 471 receives the selection instruction via the selection reception unit 455, and formulas related to the selection instruction. Is selected (step S34). Note that the user needs to select a criterion that seems appropriate by looking at the mathematical expressions and errors displayed in an enumerated manner.
Subsequently, the generation unit 172 acquires an input value by the user regarding the non-measurement event in the determination criterion formula selected by the selection unit 471 via the input reception unit 150 (step S35), and the non-measurement in the selected formula A new mathematical expression is generated by substituting the user input value for the variable corresponding to the measurement event (step S36), and the generated mathematical formula is stored in the reference storage unit 181 (step S37), thereby ending the criterion selection process. To do.

The determination unit 180 performs determination based on each measurement value acquired from the sensor group 51 using the mathematical formula stored in the reference storage unit 181 by the determination criterion selection process as a determination criterion.
<Embodiment 4>
Hereinafter, an abnormality determination apparatus according to Embodiment 4 of the present invention will be described. The abnormality determination device according to the fourth embodiment is obtained by slightly modifying the contents of the determination criterion group information storage unit 160, the determination criterion selection unit 170, and the determination unit 180 in the abnormality determination device according to the first embodiment described above. In addition to variables corresponding to events that can be measured with a single sensor, variables that comprehensively correspond to events that can be measured with multiple sensors of the same type can be used as variables in the reference mathematical formula. It is an extended function.

  Here, only the difference between the abnormality determination device according to the fourth embodiment and the abnormality determination device 100 illustrated in the first embodiment will be described in detail. The difference is that the determination criterion group information stored in the determination criterion group information storage unit 160, the content of the determination criterion selection process performed by the selection unit 171 in the determination criterion selection unit 170, and the generation of the determination criterion performed by the generation unit 172 The contents of the process. In addition, since the value which the measurement event identification information stored in the measurement event identification information acquisition part 140 can take is expanded, measurement event identification information is also demonstrated.

<Measured event identification information>
FIG. 11 is a diagram illustrating an example of contents of measurement event identification information according to the fourth embodiment.
The measurement event identification information is information indicating each event measured by each sensor of the sensor group 51 provided in the determination target system 50, and each event includes a character string symbol corresponding to the name of the measurement point and a physical quantity. It is represented by a character string formed by concatenating a character string symbol corresponding to the name with “_”. As for the names of measurement points, particularly in Embodiment 4, regarding the sensors in the same type of equipment provided on each floor of the building in the building air conditioning management system, the name of the measurement point is changed to the same type of equipment. The name part collectively called, that is, the name part commonly called through each floor, and the name part for identifying the floor shall be expressed in a combined form. For example, “AHU” indicating an air conditioner and [1F] indicating the first floor and [2F] indicating the second floor are combined to form a measurement point name.

Hereinafter, the names of the events in FIG. 11 will be described.
AHU [1F] _DBsa is the air supply dry bulb temperature of the air conditioner on the first floor, and is measured by the first sensor on the first floor.
AHU [1F] _RHsa is the supply air relative humidity of the air conditioner on the first floor.
AHU [1F] _DBra is the ambient air dry bulb temperature of the air conditioner on the first floor.

AHU [1F] _RHra is the ambient relative humidity of the air conditioner on the first floor.
AHU [1F] _FAN_PP is the power consumption of the fan of the air conditioner on the first floor.
AHU [1F] _GW is the amount of inflow water from the air conditioner on the first floor.
AHU [2F] _DBsa is the air supply dry bulb temperature of the air conditioner on the second floor, and is measured by the first sensor on the second floor.

AHU [2F] _RHsa is the supply air relative humidity of the air conditioner on the second floor.
AHU [2F] _DBra is the ambient air dry bulb temperature of the air conditioner on the second floor.
AHU [2F] _RHra is the ambient relative humidity of the air conditioner on the second floor.
AHU [2F] _FAN_PP is the power consumption of the fan of the air conditioner on the second floor.
AHU [2F] _GW is the amount of inflow water from the air conditioner on the second floor.

HDsup_TW is the water temperature of the heat source supply path.
HDsup_PW is the water pressure of the supply path of the heat source.
HDret_TW is the water temperature of the reflux path of the heat source.
HDret_PW is the water pressure in the reflux path of the heat source.
<Criteria group information>
FIG. 12 is a diagram illustrating an example of content of determination criterion group information according to the fourth embodiment.

  The determination criterion group information 1200 stored in the determination criterion group information storage unit 160 includes basic equation information 1210 defining a basic equation serving as a criterion for determining whether or not the determination target system 50 is in an abnormal state. , And replacement information 1220 indicating a mathematical expression that can replace a variable of the basic mathematical expression. This replacement information 1220 includes a plurality of sets of replacement target variables 1221 and replacement formulas 1222 that can be regarded as equivalent to each other.

  The variables in each formula defined by this criterion group information correspond to events that can be measured by the sensor, and the formula is specifically used for the determination by substituting the measured value measured by the sensor into the variable. Will be able to. This variable name is also represented by a character string formed by concatenating a character string symbol corresponding to the name of the measurement point and a character string symbol corresponding to the name of the physical quantity with “_”.

  However, if “#” is used in the name of the measurement point, the sensor in the same kind of device is comprehensively represented. For example, “AHU [#]” is one or more of the measurement point names. Represents an air conditioner. That is, the measurement point name including “#” in the name comprehensively indicates all measurement point names whose portion corresponding to “#” is an arbitrary character string. Therefore, the meaning of each variable including “#” shown in FIG. 12 will be described in view of the measurement event identification information shown in FIG.

AHU [#] _ QA is the amount of heat for air of the air conditioner on each floor.
AHU [#] _ QW is the amount of heat for the water of the air conditioner on each floor.
AHU [#] _ VAV_GA is the air volume of the air conditioner on each floor.
AHU [#] _ HAra is the airflow side enthalpy of the air conditioner on each floor.
AHU [#] _ HAsa is the supply side enthalpy of the air conditioner on each floor.

AHU [#] _ GW is the amount of water flowing into the air conditioner on each floor.
AHU [#] _ TWout is the outlet water temperature of the air conditioner on each floor.
AHU [#] _ TWin is the inlet water temperature of the air conditioner on each floor.
AHU [#] _ DBra is the air dry bulb temperature of the air conditioner on each floor.
AHU [#] _ RHra is the relative humidity of the air conditioner on each floor.

AHU [#] _ DBsa is the supply air dry bulb temperature of the air conditioner on each floor.
AHU [#] _ RHsa is the supply air relative humidity of each air conditioner.
AHU [#] _ ATF is the air conveyance efficiency of the air conditioner on each floor.
AHU [#] _ FAN_PP is the power consumption of the air conditioner fan on each floor.
In addition, the meaning of the condition defined by the inequality | AHU [#] _ QA−AHU [#] _ QW | ≦ 50, which is a basic mathematical formula, is the amount of heat supplied indoors using air as a medium and the heat source as an aqueous medium from floor to floor. This means that the difference from the amount of heat supplied by the air conditioner is small and is a predetermined value 50 or less.

In addition, all “#” in the basic mathematical formula information can be expanded to the same arbitrary character string, and all “#” in each set of the variable to be replaced and the mathematical formula for replacement are separately included in the set. "#" Can be expanded to the same arbitrary character string.
<Criteria selection process>
Hereinafter, the determination criterion selection processing performed by the selection unit 171 based on the measurement event identification information illustrated in FIG. 11 and the determination criterion group information illustrated in FIG. 12 will be described with reference to the flowcharts illustrated in FIGS. 4 and 5. Accordingly, the description will be made with an emphasis on the difference from the first embodiment.

The selection unit 171 pays attention to the basic mathematical expression in the criterion group information (Step S11), and determines whether or not the numerical expression under consideration includes a variable corresponding to the non-measurement event (Step S12). In step S <b> 12, the selection unit 171 determines whether or not a variable corresponding to an event other than the event indicated by the measurement event identification information is included in the expression of interest.
In this determination, if the name of the variable in the basic formula contains “#”, if the “#” part is replaced with an arbitrary character string, the name that matches the name of the variable is measured event identification information. It will be checked whether it is contained. With respect to each piece of information shown in FIGS. 11 and 12, for the variable AHU [#] _ QA in the basic formula illustrated in FIG. 12, a matching name is included in the measurement event identification information except for “#”. Since there is no matching name, in step S12 when paying attention to the basic mathematical expression, it is determined that a variable corresponding to the non-measurement event is included.

  If it is determined in step S12 that the variable corresponding to the non-measurement event is included, the selection unit 171 is a variable corresponding to the non-measurement event in the mathematical expression being focused on, and is still focused directly on. Attention is paid to a variable that is not (step S13), and it is determined whether or not the focused variable can be replaced (step S14). The selection unit 171 determines whether or not replacement is possible depending on whether or not the focused variable is set as the replacement target variable 221 of the replacement information 220 in the determination criterion group information storage unit 160.

For example, since the replacement target variable AHU [#] _ QA is included in the replacement information illustrated in FIG. 12, if attention is paid to the variable AHU [#] _ QA in the basic formula in step S13, in step S14 A positive determination is made, that is, it is determined that replacement is possible.
If it is determined in step S14 that the variable can be replaced, the selection unit 171 sets the variable under attention in the numerical expression under consideration to the replacement numerical expression 222 that forms a pair with the variable under attention, that is, the replacement target variable 221. The replaced mathematical formula is stored in the memory area (step S15), and it is determined whether or not the focused mathematical formula includes a variable corresponding to a non-measurement event and not yet focused (step S16). ), If a variable that has not been focused on is included, the process returns to step S13 again. If it is determined in step S14 that the replacement is not possible, the selection unit 171 proceeds to the process of step S16 without performing the process of step S15.

According to the example of FIG. 12 described above, the mathematical expression stored by replacing the variable AHU [#] _ QA in step S15 is expressed by the following equation (3).
[Equation 3] | AHU [#] _ VAV_GA * (AHU [#] _ HAra − AHU [#] _ HAsa) − AHU [#] _ QW | ≦ 50
If it is determined in step S16 that the current mathematical expression does not include a variable corresponding to a non-measurement event and not yet focused, the selection unit 171 stores the variable in the memory area. It is determined whether or not there is a mathematical expression that has not yet been focused on among the replaced mathematical formulas (step S17), and if a positive determination is made, the selection unit 171 performs the replacement that has not yet been focused on. While paying attention to the later mathematical expression (step S18), the process returns to the determination process of step S12. If the determination is negative in step S17, the selection unit 171 selects a mathematical expression that includes the smallest number of variables corresponding to the non-measurement event from among the mathematical expressions of interest (step S19). Then, a message prompting the user to input information representing the non-measurement event in the mathematical formula is displayed through the display unit 120 together with information indicating the mathematical formula (step S20).

According to the examples of FIGS. 11 and 12, the mathematical formula selected in step S19 is the following equation (4).
[Formula 4] | AHU [#] _ VAV_GA * (Enthalpy (AHU [#] _ DBra, AHU [#] _ RHra)
− Enthalpy (AHU [#] _ DBsa, AHU [#] _ RHsa))
− AHU [#] _ GW * (HDret_TW − HDsup_TW) ｜ ≦ 50
After the selection unit 171 selects a mathematical expression that includes a variable corresponding to the non-measurement event and is prompted to input information representing the measurement value of the non-measurement event, the generation unit 172 acquires the mathematical expression and inputs it. An input value input by the user via the receiving unit 150 is acquired (step S21). In the above formula 4, if AHU [#] _ VAV_GA is a variable corresponding to a non-measurement event that is comprehensively shown for each floor of the building, and the determination target system 50 is a constant air volume system, The user inputs a value that is the standard air volume, for example, a fixed value 120.

The generation unit 172 generates a new mathematical formula formed by substituting the input value for the non-measurement event in the mathematical formula, for example, a mathematical formula formed by replacing AHU [#] _ VAV_GA in Formula 4 with 120 (step S22). Information indicating a new mathematical expression is stored in the criterion storage unit 181 (step S23), and the determination criterion selection process is terminated.
In step S23 in the fourth embodiment, after the mathematical formula to be stored in the reference storage unit 181 is identified, if the identified mathematical formula includes “#” in the variable name, All the measurement point names that match the part excluding `` # '' in the measurement point names that make up the variable name are searched from the measurement event identification information, and `` # '' in each measurement point name in the searched measurement event identification information '', For example, `` 1F '', `` 2F '', each formula that replaces the `` # '' part of the variable name in the formula is generated, and the generated formula is Stored in the reference storage unit 181. Therefore, the reference storage unit 181 stores the following mathematical formula 5 and mathematical formula 6:

[Formula 5] | 120 * (Enthalpy (AHU [1F] _DBra, AHU [1F] _RHra)
− Enthalpy (AHU [1F] _DBsa, AHU [1F] _RHsa))
− AHU [1F] _GW * (HDret_TW − HDsup_TW) | ≦ 50
[Formula 6] | 120 * (Enthalpy (AHU [2F] _DBra, AHU [2F] _RHra)
− Enthalpy (AHU [2F] _DBsa, AHU [2F] _RHsa))
− AHU [2F] _GW * (HDret_TW − HDsup_TW) | ≦ 50
The mathematical formula related to the information stored in the reference storage unit 181 by the above-described determination criterion selection process does not include a variable corresponding to the non-measurement event, and the determination criterion actually used for the determination by the determination unit 180 is Become. Note that, when a plurality of mathematical expressions, such as those represented by Equation 5 and Equation 6, are stored in the reference storage unit 181, the determination unit 180 determines whether the determination target system 50 depends on whether all the mathematical equations are satisfied or not. It is determined whether or not it is normal.

In such an abnormality determination device according to the fourth embodiment, the determination criterion for abnormality determination can be expressed by a mathematical expression including a variable that comprehensively represents a plurality of events having the same properties. The possibility that the data amount of the reference group information can be reduced is increased, and the work load when the mathematical formula needs to be changed can be reduced. In addition, even when non-measurement events are included in the judgment criteria, the standard value of multiple non-measurement events of the same nature, for example, AHU [1F] _VAV_GA and AHU [2F] _VAV_GA Since input is possible, the work load is reduced.
<Supplement>
As mentioned above, although the abnormality determination apparatus based on this invention was demonstrated based on Embodiment 1-3, it can also deform | transform as follows and this invention is not restricted to the abnormality determination apparatus shown in the above-mentioned embodiment. Of course.
(1) In each embodiment, although the abnormality determination apparatus which determines abnormality of an air conditioning system was illustrated and demonstrated, the determination object of an abnormality determination apparatus is not restricted to an air conditioning system, The determination criterion according to the system type of determination object Whether the system is normal without being limited to the types and number of sensor groups managed by the corresponding system, by storing the information defining the criteria in the criteria group information storage unit. It becomes possible to determine whether it is abnormal.
(2) In each embodiment, a mathematical expression is shown as a determination criterion. However, the determination criterion is not necessarily a mathematical expression as long as it determines the determination condition, and the logic of the condition for each event that can be measured by the sensor. It may be a combination.

In addition, the mathematical formula shown as the determination criterion in the embodiment may be an evaluation criterion used for some evaluation, not a determination criterion regarding whether or not there is an abnormality. In this case, the determination criterion selection unit is the system to be evaluated. This means that the evaluation criteria selection unit selects appropriate evaluation criteria for individual systems with various numbers and types of sensors, and the device provided with this evaluation criteria selection unit is generally used for any system. There exists an effect which can be evaluated.
(3) In each embodiment, the measurement event identification information is acquired from the user. However, the acquisition method of the measurement event identification information is not limited to this. For example, each sensor of the sensor group 51 is self-measured. Assuming that a signal that can identify possible events is emitted, the abnormality determination device may receive the signal group and automatically generate measurement event identification information based on the signal group. Good. The measurement event identification information may be generated interactively in response to a user operation, for example, by displaying an image or the like serving as a user interface on a display unit.
(4) The user input (step S21) for the non-measurement event of the criterion selection process in the fourth embodiment is performed when the non-measurement event is comprehensively expressed using “#” in its name. However, it is sufficient for the user to input one value, but the user may input a separate value for each measurement point even if it is comprehensively expressed, for example, AHU “1F] _VAV_GA may be specified and a fixed value of 117 may be input, and AHU [2F] _VAV_GA may be specified and a fixed value of 122 may be input. In this case, the constant 120 in Equation 5 is 117. , The constant 120 in Equation 6 becomes 122.

  It should be noted that the determination unit 180 uses each variable in each mathematical expression (for example, a mathematical expression in which “#” is expanded as shown in Equations 5 and 6) related to information stored in the reference storage unit 181 by the determination criterion selection process. The measurement values measured by the corresponding sensors are substituted into each of them, and it is determined whether or not the determination target system 50 is normal depending on whether or not all the mathematical expressions are satisfied. Instead, the reference storage unit 181 stores the following mathematical formula 7 and the determination unit 180 substitutes the measured values measured by the first-floor sensor for each variable of the mathematical formula 7. It is determined whether or not the mathematical formula is satisfied, and further, it is determined whether or not the mathematical formula is satisfied by substituting the measured value measured by the sensor on the second floor for each variable of Equation 7. Sometimes “#” may be expanded and applied.

[Equation 7] | 120 * (Enthalpy (AHU [#] _ DBra, AHU [#] _ RHra)
− Enthalpy (AHU [#] _ DBsa, AHU [#] _ RHsa))
− AHU [#] _ GW * (HDret_TW − HDsup_TW) ｜ ≦ 50
(5) The abnormality determination device shown in the fourth embodiment is further modified to allow the user to specify the range indicated by “#” when the variable name in the basic formula includes “#”. For example, when “#” represents each floor of the building, if the user designates 1F to 5F, the abnormality on the 1st to 5th floors is determined. Will be able to. In this example, in the determination of S12 in the fourth embodiment, when “#” is included in the name of the variable in the mathematical expression, the “#” portion is replaced with “1F”, “2F”, “3F”, Even if it is read as either “4F” or “5F”, a variable corresponding to a non-measurement event is included unless a name that matches the name of the variable is included in the measurement event identification information. Is determined. In step S19 for selecting a mathematical expression that includes the smallest number of variables corresponding to the non-measurement event, the number of variables corresponding to the non-measurement event is “1F”, “2F”, and the like. The number counted in each case is used. In step S20, if only the event related to the sensor on the specific floor among the first to fifth floors is not included in the measured event identification information, the variable corresponding to the event related to the specific floor It is recommended that the user input a standard value or the like.
(6) In the fourth embodiment, the measurement point name including “#” in the name comprehensively indicates all measurement point names in which the portion corresponding to “#” is an arbitrary character string. If the mathematical formula once specified as a reference contains "#" in the variable name, measure the measurement point name that matches the part excluding "#" in the measurement point name that makes up the variable name in the mathematical formula. Search all of the event identification information, and use the character string equivalent to the `` # '' part in the name of each measurement point in the searched measurement event identification information, and replace the `` # '' part of the variable name in the formula Although each replacement mathematical expression is generated and used as a determination criterion for actual determination, other specific character strings, symbols, or the like may be used instead of “#”. In addition, in order to cope with the case where each of the plurality of variables in the formula comprehensively indicates all the measurement point names of the specific type, formulas that can be used as determination criteria are, for example, the following formulas 8 and 9: It is good also as expressing like this.

[Equation 8] AHU [# 1] _aa + AHU [# 2] _bb <AHU [# 1] _cc + AHU [# 2] _dd
[Equation 9] AHU [#] _ aa + AHU [#] _ bb <AHU [\ 1] _cc + AHU [\ 2] _dd
In Equation 8, # 1 on the left side of the formula and # 1 on the right side have the same value, # 2 on the left side of the formula and # 2 on the right side have the same value, and # 1 and # 2 represent an arbitrary character string. In equation 9, “\ 1” means the same value as “#” appearing first from the left in the formula, and “\ 2” is same as “#” appearing second from the left in the formula. Mean value. As a result, Equations 9 and 8 are merely equivalent in different expression forms.
(7) A program for causing the processor to execute each process (see FIGS. 4, 5, 7, 10, etc.) in the abnormality determination device is recorded on a recording medium or distributed via various communication paths. It can also be distributed. Such recording media include IC cards, hard disks, optical disks, flexible disks, ROMs, and the like. The distributed and distributed program is used by being stored in a memory or the like that can be read by the processor, and the processor executes the program to realize each process of the abnormality determination device described in each embodiment. Will come to be.

It is a block diagram of the abnormality determination apparatus 100 which concerns on Embodiment 1 of this invention. It is a figure which shows the data structure and content example of criteria group information. It is a figure which shows the data structure and content example of measurement event identification information. 4 is a flowchart illustrating a first half of a determination criterion selection process according to the first embodiment. 4 is a flowchart illustrating a second half of a determination criterion selection process according to the first embodiment. It is a figure which shows the data structure and content example of the criteria reference | standard group information which concern on Embodiment 2. FIG. 10 is a flowchart illustrating a part of a determination criterion selection process according to the second embodiment. It is a block diagram of the abnormality determination apparatus 400 which concerns on Embodiment 3. It is a figure which shows the data structure and content example of the criteria reference group information which concern on Embodiment 3. FIG. 10 is a flowchart illustrating determination criterion selection processing according to the third embodiment. It is a figure which shows the example of the content of the measurement event identification information in Embodiment 4. It is a figure which shows the example of the content of the criteria reference | standard group information in Embodiment 4.

Explanation of symbols

DESCRIPTION OF SYMBOLS 50 Determination object system 51 Sensor group 100, 400 Abnormality determination apparatus 110 Operation part 120 Display part 130 Measurement value acquisition part 140 Measurement event identification information acquisition part 150 Input reception part 160,460 Judgment reference group information storage part 170,470 Judgment standard selection Unit 171, 471 selection unit 172 generation unit 180 determination unit 181 reference storage unit 455 selection reception unit

Claims (9)

An abnormality determination device that determines whether or not the state of the system is abnormal, with a system including one or more sensors that measure an event as a determination target,
Storage means for storing determination criterion group information defining a plurality of different determination criteria for determining whether or not there is an abnormality based on each measurement value for one or more events;
Event identification information acquisition means for acquiring measurement event identification information for identifying each event measured by each sensor provided in the determination target system;
With reference to the determination criterion group information, a criterion selection means for selecting a criterion for performing a determination based on each measurement value for each event identified by the measurement event identification information;
A determination unit that acquires each measurement value measured by each sensor provided in the determination target system and performs determination based on the determination criterion selected by the determination criterion selection unit based on each measurement value;
An abnormality determination device comprising: output means for outputting a result of determination by the determination means. The determination criterion group information includes a basic mathematical expression that includes a variable corresponding to each of one or more events and serves as a determination criterion, and is substantially equivalent to the variable for any one or more variables included in the basic mathematical expression. A replacement formula that is a substitution formula that includes a variable corresponding to one or more events that are different from the variable, and that represents the event corresponding to the variable included in each formula in an identifiable manner. Yes,
As long as there is a variable corresponding to an event other than each event identified by the measurement event identification information among the variables included in the basic mathematical expression, the determination criterion selection unit is substantially equivalent to the variable in the basic mathematical expression. By selecting one of the replacement formulas, select the criteria for the basic formula,
The determination unit performs the determination by substituting each acquired measurement value into a corresponding variable in the basic formula related to the selected determination criterion, and calculating the basic formula. The abnormality determination device according to 1. The storage means further stores replacement error information indicating the degree of difference between the replacement formula and the substantially equivalent corresponding variable in association with each replacement formula,
The determination criterion selecting means includes a substitution error corresponding to each substitution formula relating to all substitutions that have been performed up to the substitution, including the substitution, to the substitution formula that is substantially equivalent to the variable. The abnormality determination device according to claim 2, wherein, when an error of the basic mathematical formula after the replacement is calculated based on the information, the abnormality determination device is applied only to the replacement mathematical formula such that the error becomes smaller than a predetermined threshold. The determination criterion selection means performs determination without using as a basis a measurement value for an event other than each event identified by the measurement event identification information among a plurality of determination criteria defined by the determination criterion group information. The abnormality determination device according to claim 1, wherein the determination criterion is selected when there is a determination criterion. The abnormality determination device further includes an input receiving unit that receives an input value by a user,
The output means is further capable of outputting input request information related to an input request,
The determination criterion selection means performs determination without using as a basis a measurement value for an event other than each event identified by the measurement event identification information among a plurality of determination criteria defined by the determination criterion group information. If there is no determination criterion, measurement of events other than each event identified by the measurement event identification information, based on the determination criterion, among a plurality of determination criteria defined by the determination criterion group information. The determination criterion with the smallest number of values is selected, and the output unit outputs input request information indicating an event other than each event identified by the measurement event identification information in the selected determination criterion, and the input acceptance Instead of measurement values for events other than each event identified by the measurement event identification information in the selected criteria. It generates a new criterion in which had abnormality determination apparatus according to claim 4, wherein the selecting the criteria. Each of the sensors measures a predetermined physical quantity at a predetermined measurement point,
The measurement event identification information is information that defines each event measured by each sensor with an identification name that combines the name of a measurement point and the name of a physical quantity,
The judgment criterion group information includes one or more variables corresponding to one event or a variable comprehensively corresponding to a plurality of events, and a basic mathematical formula serving as a judgment criterion and a replacement mathematical formula used for substitution of the variable of the basic mathematical formula Is a variable name that includes the name of a measurement point for a variable that corresponds to one event, and a variable name that includes a comprehensive name for multiple measurement points for a variable that comprehensively corresponds to multiple events. ,
The criterion selection means is
As long as there is a variable corresponding to an event other than each event identified by the measurement event identification information among the variables included in the basic formula, the basic formula is replaced by replacing the variable with the replacement formula. Select criteria for formulas,
In the selection, if the variable corresponds to one event, and the identification name that matches the variable name is not defined, the variable is assigned to an event other than each event identified by the measurement event identification information. If there is a corresponding variable and the above replacement is performed and the variable comprehensively corresponds to a plurality of events, a matching identification name is defined for each of a plurality of measurement point names corresponding to the variable name. If not, the substitution is performed assuming that there is a variable corresponding to an event other than each event identified by the measurement event identification information,
The determination means includes
The determination is performed by substituting each acquired measurement value into a corresponding variable in the basic formula related to the selected criterion, and performing the calculation of the basic formula.
At the time of the substitution, if the variables in the basic formula related to the selected criterion are variables that comprehensively correspond to a plurality of events, each measurement value corresponding to each of the plurality of events is sequentially substituted. The abnormality determination device according to claim 1. An abnormality determination method for determining whether or not the state of the system is abnormal, with a system including one or more sensors that measure an event as a determination target,
Judgment criteria group from a recording medium preliminarily recording judgment criteria group information defining a plurality of different judgment criteria for determining whether or not there is an abnormality based on each measurement value for one or more events A reading step for reading information;
An event identification information acquisition step for acquiring measurement event identification information for identifying each event measured by each sensor provided in the determination target system;
A determination criterion selection step for selecting a determination criterion for performing a determination based on each measurement value for each event identified by the measurement event identification information with reference to the determination criterion group information;
A determination step of acquiring each measurement value measured by each sensor provided in the determination target system, and performing a determination based on the determination criterion selected in the determination criterion selection step based on each measurement value;
And an output step of outputting a result of determination by the determination step. An evaluation criterion selection device for selecting an evaluation criterion for evaluating a state of the system with a system including one or more sensors that measure an event as an evaluation target,
Storage means for storing information defining a plurality of different evaluation criteria for performing evaluation on the basis of each measurement value for one or more events,
Event identification information acquisition means for acquiring measurement event identification information for identifying each event measured by each sensor provided in the system to be evaluated;
Among the plurality of evaluation criteria, an evaluation criterion that does not include a measurement value for an event other than each event identified by the measurement event identification information is selected from all the measurement values based on the evaluation criterion. An evaluation criterion selection device comprising: an evaluation criterion selection means for performing the evaluation. A program for causing a computer to perform an evaluation criterion selection process for selecting an evaluation criterion for evaluating a state of the system with a system including one or more sensors for measuring an event as an evaluation target,
The evaluation criteria selection process is:
A reading step of reading the information from a recording medium in which information defining in advance a plurality of different evaluation criteria for performing evaluation based on each measurement value for one or more events is defined;
An event identification information acquisition step for acquiring measurement event identification information for identifying each event measured by each sensor provided in the system to be evaluated;
Among the plurality of evaluation criteria, an evaluation criterion that does not include a measurement value for an event other than each event identified by the measurement event identification information is selected from all the measurement values based on the evaluation criterion. The evaluation criteria selection step to be included.

Images