JP6009476B2 - Data association apparatus and program - Google Patents

Description

  The present invention relates to an apparatus and a program for associating a plurality of data related to building management.

  The building is equipped with various power consuming equipment such as lighting and air conditioners. A technique for acquiring data related to these facilities and using them for building management is known. For example, there are cases where equipment failure diagnosis and analysis for operational improvement such as energy saving are performed based on the acquired data. The data related to building management includes, for example, data indicating the operating state of equipment, data indicating the temperature that is the control target of the air conditioner, data indicating the temperature of the air taken in by the air conditioner, and power consumption of the air conditioner Data and data indicating the amount of power consumed since the operation of the air conditioner is started. In addition, data related to security equipment such as locking information of a predetermined area may be used for building management.

  A name for identifying the data is given to the data related to the building management. For example, a term relating to a place where equipment is installed, a term relating to the type of data, and a term relating to the type of equipment are used as the names of the data. The name of the data may be created by the user of the building and is not necessarily created by the side (data user) who uses the data for building management. For this reason, about the same kind of data, a different name may be given for every building user who created a name. For example, with respect to data indicating temperature, the name “temperature” may be assigned to a building while the name “Temp” may be assigned to another building. The data user refers to the name given to the data, extracts equipment and data related to the equipment, and performs analysis for fault diagnosis and operational improvement of the equipment.

  Patent Document 1 below measures the total amount of power consumed by a plurality of electrical devices, extracts power fluctuations of a specific magnitude and period appearing in the total power amount, and each of the power fluctuations and each of the electrical equipments in advance. There is described a technique for estimating an electrical device that is intermittently operated by comparing the stored fluctuations in power consumption that appear during intermittent operation.

  The following Patent Document 2 describes a technique for comparing the stored power consumption pattern of an electrical device with the power actually consumed at a certain outlet and associating the outlet with the type of the electrical appliance connected to the outlet. Has been.

JP 2009-255792 A JP2012-253865A

  When analyzing data, it is necessary to extract data related to a certain facility. As mentioned above, if the names given to the data are mixed, what the data represents and what data It may not be possible to determine which equipment data is based on the name of the data alone. When managing multiple buildings in one place, the number of data items can be thousands to tens of thousands, making it difficult to find the necessary data, which has been a heavy burden on data users. .

  An object of the present invention is to associate data related to a certain facility provided in a building from a plurality of data related to building management.

  The data association apparatus of the present invention associates data related to a certain facility provided in a building among a plurality of acquired data relating to building management. The type of the acquired data is specified using a data signal form, a data unit, a data range, and a data signal waveform. First, one piece of equipment operation state data selected from a plurality of pieces of equipment operation state data indicating the operation state of the equipment among the data whose type is specified is received. And the data relevant to this equipment operation state data are extracted based on the time change of data and the classification of data. That is, when the time change of the predetermined type of data has a predetermined relationship with the selected equipment operation state data, this data is extracted as related to the selected equipment operation state data. These extracted data are associated with the selected equipment operation state data.

  The data signal form includes, for example, an on / off binary signal, a continuous value signal, and a pulse-like signal output at a predetermined period. Information indicating the signal form of the data is given to the data as attribute information. The unit of data includes a unit of temperature, electric power, and electric energy, and is given to the data as attribute information. The data range is given as attribute information to the data, and indicates the range that the data can take. For example, when the data indicates air temperature, the range is set to -5 ° C to 40 ° C. The attribute information of data is acquired together when acquiring data.

  When the equipment related to data association is an air conditioner, the type of data to be associated is equipment operation state data, target temperature data that is data indicating a temperature that is a control target of the air conditioner, and The intake air temperature data, which is data indicating the temperature of the air sucked by the air conditioner, and the power consumption data, which is data indicating the power consumption of the air conditioner, can be used. The data to be associated may further include power consumption data indicating the power consumption after starting the operation of the air conditioner.

  The target temperature data is a continuous value signal, the data unit is a temperature unit, the data range is a predetermined range corresponding to the target temperature, and the signal waveform of the data is stepped or constant Identified based on value. The suction temperature data is a continuous value signal in the data signal format, the data unit is the temperature unit, the data range is a predetermined range corresponding to the temperature, and the signal waveform of the data changes smoothly. Specified based on The power consumption data is specified based on the fact that the data signal form is a continuous value signal and the data unit is a work unit. The power consumption data is specified on the basis that the signal form of the data is a pulse and the unit of data is the unit of power.

  Of the plurality of suction temperature data, data that starts to change from when the selected equipment operation state data is turned on is extracted as suction temperature data related to the selected equipment operation state data. Among the plurality of target temperature data, data that matches the temperature at which the extracted suction temperature data converges with time elapses is extracted as target temperature data related to the facility operation state data associated with the extracted suction temperature data. . Of the multiple power consumption data, the power consumption data related to the selected equipment operation status data is data indicating that power is consumed from when the selected equipment operation status data is turned on until it is turned off. Extract as Then, the extracted three pieces of data, that is, suction temperature data, target temperature data, and power consumption data are associated with the selected equipment operation state data.

  In addition, data that increases monotonically from the time the selected equipment operation status data is turned on to the time it is turned off is extracted as power consumption data related to the selected equipment operation status data. Then, the extracted power consumption data may be associated with the selected equipment operation state data.

  As described above, related data is associated with certain equipment operation state data. At this stage, the facility operation state data and the data associated therewith are not necessarily associated with the actual facility. Data relating to the locking of certain areas of the building can be used to associate the data with the equipment. Based on the fact that the facility operation state data is on within the unlocking time indicated by the locking data, the facility operation state data is data indicating the operation state of the air conditioner for a predetermined area. Can be identified.

  The association can be performed on a daily basis. There is a possibility that the combination of associated data may differ from day to day, but it is possible to narrow down the association data by extracting data common to the combinations obtained on a plurality of days.

  Equipment operation state data and data associated therewith can be presented as a set. Furthermore, it is possible to present these data in association with the actual equipment.

  The associated data combination may also include data that is not originally relevant. However, the data is narrowed down by the above-mentioned association rather than the data as it is acquired, and the data user only has to specify the actually relevant data from the narrowed-down data. Is much easier.

  Equipment operation state data and data related thereto can be associated with each other, reducing the burden on the data user.

It is a figure which shows the some building and building management apparatus which are connected via a communication network. It is a figure which shows the example of the data memorize | stored in the memory | storage device. It is a block diagram which shows the structure of a data correlation apparatus, and the relationship with another apparatus. It is a chart which shows operation | movement of a data correlation apparatus. It is a figure for demonstrating the correlation of the data which changes with time.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. FIG. 1 is a diagram showing a state in which a plurality of buildings 10 and a building management device 12 are connected via a communication network 14 such as the Internet. The building management device 12 may be provided for only one building 10. In this case, the building management device 12 may be installed in the building 10 without using the communication network 14. The building 10 is provided with a lighting facility 16 and an air conditioner 18 for a predetermined area such as a room. In addition, a security facility 20 is provided for each predetermined area, and the security facility 20 has a function of managing the locked state of the corresponding area. The building management apparatus 12 can be realized as a computer that operates according to a predetermined program. The building management device 12 includes means for acquiring data transmitted from each building 10, a storage device 22 for storing the acquired data, and a data association device 24 for associating data. The data association device 24 is achieved by an arithmetic device provided in a computer operating according to a predetermined program.

  FIG. 2 is a diagram illustrating examples of various data transmitted from each building 10, received by the building management device 12, and stored in the storage device 22. Each data may be managed so as to be distinguishable for each building 10 in the storage device 22. Each data includes date and time (for example, 2013-6-25 20:22), signal number (for example, 1005), name (for example, 5F air conditioner power), signal form (for example, analog), numerical value (for example, 2000) And information on units (eg, W). Although not shown, the data also includes information regarding the range of the data.

  The date and time is the date and time when the data was transmitted or received. The signal number is a number that uniquely identifies the signal. The name indicates the contents represented by the data, and can be freely set by a building user or a data user. The signal number is sufficient to identify the data, but the user does not immediately know what the data indicates simply by looking at the signal number. By giving a name, you can understand at a glance what the data shows.

  The information on the signal form indicates whether the signal is an on / off binary signal (digital), a continuous value signal taking a continuous value (analog), or a pulsed pulse signal transmitted at a predetermined time interval. Show. The binary signal is a data signal indicating, for example, whether a facility is operating (on) or stopped (off) for a certain facility. The continuous value signal is, for example, a data signal related to a measured value such as temperature and electric power such as room temperature and outside air temperature, and a signal form of data related to a set value such as a set target temperature. The pulse signal is a signal transmitted at a predetermined time interval, and is numerical original data obtained by integration. The pulse signal is a signal for calculating the amount of power, for example, and represents a value corresponding to the power at that time. The amount of electric power is calculated by integrating these signals. The building management device 12 has a function of calculating an integrated value obtained by integrating pulse signals.

  Numerical values indicate measured values such as room temperature, outside air temperature, electric power, and set values such as target temperature. The unit is a unit of the measured value or set value, for example, Celsius temperature (° C.) for temperature, Watt (W) for electric power, Kilowatt hour (kWh) for electric energy. The range of data is, for example, -5 to 40 ° C for temperature data such as outside air temperature and room temperature, 15 to 30 ° C for the target temperature, 5 to 15 ° C for the cold water temperature of the central air conditioner, and 35 to 45 for the hot water temperature. The temperature is set to -5 to 10 ° C for the water temperature of the ice heat storage system, 20 to 30 Hz for the frequency of the inverter device, and -90 to 90% for the power factor of the motor.

  As described above, since the name of the data can be arbitrarily set, the same name is not always given to the same type of data. In the building management apparatus 12, the type of data is specified using the data attributes, that is, the signal form, unit, range, and waveform. Then, the data is associated based on the temporal change relationship between the data whose types are specified.

  FIG. 3 is a block diagram showing a configuration relating to data association of the building management apparatus 12. The data association device 24 includes a data type specifying unit 26 that specifies the type of data using data attributes, that is, the signal form, unit, range, and waveform. Furthermore, the data association device 24 includes a data association unit 28 that associates data based on the temporal change relationship between the data whose types are specified.

  FIG. 4 is a diagram for explaining operations of the data type identification unit 26 and the data association unit 28. The data type specifying unit 26 determines the type of each data stored in the storage device 22 based on the attribute. In step S100, it is determined whether the data signal format is “continuous value signal (analog)”, “pulse signal (pulse)”, or “binary signal (digital)”. Next, in step S102, the type is determined based on the units (° C., W, kWh, A, V,...). When the unit is “° C.” indicating temperature, this data is determined to be data indicating some temperature. The relationship between the unit and the data type is stored in the storage device 22 in advance, and the determination is performed with reference to the stored relationship. Note that only this determination is unclear as to what temperature, for example, the room temperature, the outside air temperature, or the target temperature.

  In step S104, the type is determined using the data range. The relationship between the range and the data type is stored in advance in the storage device 22, and the determination is performed with reference to the stored relationship. For example, if the minimum unit is 15 and the maximum unit is 30 in the data whose unit is temperature, this type is determined as target temperature data of the air conditioner 18. In addition, in the data whose unit is temperature, if the minimum value is 3 and the maximum value is 35, this data is determined as room temperature data. Note that the minimum and maximum values here are not the minimum and maximum values of actual measured values, but are values set in advance as ranges that the data can take. Data ranges, such as the outside air temperature and the room temperature, that are considered to vary greatly depending on the area where the building is installed, can be set according to the area.

  Next, in step S106, the type of the continuous value signal is determined based on the waveform actually obtained by measurement. The relationship between the waveform and the data type is stored in the storage device 22 in advance, and the determination is performed with reference to this stored relationship. If the data is determined to be data relating to temperature and changes in a stepwise manner or is a constant value, the target temperature is determined. The target temperature is set as a discrete value such as in increments of 1 ° C. As a result, the target temperature changes stepwise. Further, when the target temperature is not changed, it becomes a constant value. The measured temperature changes continuously with respect to the target temperature that changes stepwise. The temperature measurement is performed with a resolution finer than the target temperature step. For example, when the set temperature is in increments of 1 ° C. as described above, the resolution of the measured temperature can be set to 0.1 ° C., which is one digit smaller.

  In step S108, the data association unit 28 associates data with respect to the data whose type is specified in steps S100 to S106 using the time change of each data. As an example of association, association of data related to the air conditioner will be described. In general, a plurality of air conditioners are installed in one building. By associating the target temperature, room temperature, power consumption, and power consumption of a room in which a certain air conditioner is installed, it is possible to examine whether this air conditioner is operating efficiently.

  FIG. 5 shows an example of a plurality of data that changes with time. Data D1 is equipment operation state data indicating the operation state of the equipment (air conditioner 18). The equipment operation state data is data of an on / off binary signal, and indicates that the air conditioner 18 is stopped when it is off and is operating when it is on. FIG. 5 shows that the air conditioner 18 starts operation at time t1 and stops operation at time t2. Data D2 is target temperature data indicating the target temperature. In this example, it is shown that the target temperature is a constant value without being changed. The data D3 is intake temperature data indicating the room temperature, that is, the temperature of the air taken in by the air conditioner 18. The suction temperature converges to the target temperature over time. Data D4 is power data indicating power consumption. The power consumption rises at time t1 when the air conditioner 18 starts operation, gradually decreases as the room temperature becomes stable, and becomes zero when the air conditioner 18 is stopped. Data D5 is data indicating the power consumption. The amount of power consumption increases almost monotonously from when the air conditioner 18 starts operation until it stops.

  The type of each data can be recorded as an attribute of each data in the storage device 22. There are cases where the data type cannot be narrowed down to one, and in this case, all possible types are recorded.

  The data association unit 28 pays attention to one driving state data, and extracts data related to the driving state data. One operation state data can be selected by a data user from a list of data stored in the storage device 22. For example, the data user selects an air conditioner installed on the fifth floor of the building A shown in FIG. 2 from the list and instructs to extract data related to the air conditioner. In addition, the data association device 24 sequentially reads out the data whose type is specified as the facility operation state data from the data stored in the storage device 22, and the data association unit displays data related to each selected facility operation data. 28 may be extracted.

  First, data relating to the measured temperature starting to change from the time t1 when the selected equipment operation state data D1 is turned on is extracted, and this data is associated as suction temperature data D2 related to this equipment operation state data D1. The data relating to the measured temperature is data in which the unit is ° C. and the waveform changes continuously, and this corresponds to the outside air temperature, the room temperature, and the like. Next, target temperature data corresponding to the temperature at which the associated suction temperature data D3 converges is extracted, and this is associated as target temperature data D2 related to the equipment operation state data D1. When the target temperature is changed, it is associated with the suction temperature data D3 that has changed following this change.

  Next, data that rises at the time t1 when the equipment operation state data D1 is turned on and becomes 0 at the time t2 when the equipment operation state data D1 is turned off is extracted from the power data whose unit is W. It associates as electric power data D4 related to the operation state data D1. Finally, data that increases monotonically from the time t1 when the equipment operation state data D1 is turned on to the time t2 when the equipment operation state data D1 is turned off is extracted from the energy data whose unit is kWh. It associates as the electric energy data D4 relevant to the state data D1.

  The building management apparatus 12 can present related data as a set to a data user. The presentation of the data set may be realized by display by a display device and by printing by a printing device. This data set may contain data that is not actually relevant, and the data user can further refine the data from other information, such as the name of the data, to eliminate unnecessary data and The set may be allowed to be updated.

  There is a case where the actual equipment and the equipment operation state data are not associated one-to-one. In particular, when the facility operation state data is selected by the data association device 24, the association with the actual facility is not performed. In this case, it is necessary for the data user to refer to the name of the equipment operation state data and associate with the actual equipment.

  The lock data of the security facility 20 can be used to associate the facility with the facility operation state data. Equipment and equipment operation state data can be associated with each other from the period during which the lock data of a room indicates unlocking and the period during which the equipment operation state data is on. The equipment operation state data that is ON only during the unlocking period of a certain room is associated with the equipment (for example, an air conditioner) installed for the room.

  As described above, the associated data may include data that should not be associated originally. Data can be narrowed down by acquiring associated data sets over a plurality of days and extracting data common to these sets. On one day, if the air conditioners in the first room and the second room are operated and stopped almost simultaneously, and the respective target temperatures are set to be the same, the suction temperature data of these two rooms can be distinguished. There are cases where it is not possible. However, if different target temperatures are set in the two rooms on different days, and if the target temperature may change within a day, the suction temperature data of the first and second rooms Can be distinguished. Based on this distinction, it is possible to determine which room data is also the data of the day that has not been distinguished.

  As described above, by associating the facility operation state data with the data having a predetermined relationship with the facility operation state data, the burden of data analysis related to building management is reduced. Even if the associated data set originally contains irrelevant data, that is, it contains noise, data can be narrowed down from a huge amount of data. , Greatly reduced.

  12 building management device, 22 storage device, 24 data association device, 26 data type identification unit (data type identification unit), 28 data association unit (data association unit).

Claims (7)

A data association apparatus that acquires a plurality of data related to building management and associates data related to a certain facility provided in the building among the plurality of acquired data,
A data type specifying means for specifying a data type using a data signal form, a data unit, a data range, and a data signal waveform;
One piece of equipment operation state data selected from a plurality of pieces of equipment operation state data indicating the operation state of the equipment among the data whose type is specified is received, and the time change of the data is the same as the selected equipment operation state data. Data associating means for extracting data of a predetermined type having a predetermined relationship and associating the extracted data with the selected equipment operation state data;
A data association apparatus comprising: The data association apparatus according to claim 1,
The equipment related to the association is an air conditioner,
The data to be associated is
Equipment operating state data,
Target temperature data, which is data indicating the temperature that is the control target of the air conditioner;
Intake temperature data, which is data indicating the temperature of the air that the air conditioner inhales,
Power consumption data which is data indicating the power consumption of the air conditioner;
Including
The data type identification means is
For target temperature data, the data signal form is a continuous value signal, the data unit is a temperature unit, the data range is a predetermined range corresponding to the target temperature, and the data signal waveform is stepped or constant Identify based on value,
Suction temperature data, the data signal form is a continuous value signal, the data unit is a temperature unit, the data range is a predetermined range corresponding to the temperature, and the data signal waveform changes smoothly Based on
The power consumption data is identified based on the fact that the data signal form is a continuous value signal and the data unit is a work unit,
The data association means
From the plurality of suction temperature data, extract data starting to change from the time when the selected equipment operation state data is turned on,
Extracting data that matches the temperature at which the extracted suction temperature data converges over time from a plurality of target temperature data,
From the plurality of power consumption data, extract data indicating that power is consumed from when the selected equipment operation state data is turned on until it is turned off,
Associating the extracted suction temperature data, target temperature data, and power consumption data with the selected equipment operation state data;
Data association device. The data association apparatus according to claim 2,
The data to be associated further includes power consumption data indicating power consumption since the start of the operation of the air conditioner,
The data type specifying means specifies the power consumption amount data based on the fact that the signal form of the data is pulsed and the unit of data is the unit of power amount,
The data association means extracts data that monotonously increases from a plurality of power consumption data until the selected facility operation state data is turned on after being turned on,
Associating the extracted power consumption data with the selected equipment operation state data;
Data association device. The data association apparatus according to claim 2 or 3,
A plurality of data relating to building management includes locking data relating to locking of a predetermined area of the building,
Based on the fact that the facility operation state data is on within the unlocking time indicated by the locking data, the facility operation state data is data indicating the operation state of the air conditioner for the predetermined area. Have equipment identifying means to identify
Data association device.   The data association apparatus according to any one of claims 1 to 4, wherein the data association is executed for each day, and data common to a plurality of days is extracted from the data associated with each day, A data association apparatus having a narrowing means for narrowing down association data.   The data association apparatus according to any one of claims 1 to 5, further comprising association data presenting means for presenting facility operation data and data associated therewith in pairs.   The program for functioning as a data correlation apparatus of any one of Claim 1 to 6 by being read by a computer.

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