JP2005182441A - Analyzing unit for management of building facility - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an analyzing unit for management of building facility that infers a cause for the management goal being not attained when the operating condition of the facility does not attain the management goal. <P>SOLUTION: The analyzing unit 11 for management of building facility of the invention comprises: a communication interface 27 for receiving communication signals carrying information necessary for managing the operating condition of facility provided in a building; an analysis data collection processing section 211 for extracting information from the received communication signals and allowing the information to be stored in an analysis data storage section 261; an inference rule storage section 264 for storing in advance an inference processing program for inferring the cause for the management goal being not attained when the operating condition of the facility does not attain the management goal; an inference section 217 for analyzing information according to the inference processing program and inferring the cause; and an output section 23 for indicating the results of inference of the inference section 217. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

  The present invention relates to an analysis apparatus for building facility management that infers the cause of the management target not being reached when the operation state of the facility does not reach the management target when the facilities arranged in the building are managed in an integrated manner.

In recent years, due to the development of network technology, a plurality of facilities installed in relatively large buildings such as office buildings, apartment houses and factories are connected via a local network to monitor and / or control the operation state of the facilities. A global network for receiving information from the device control system and / or sending commands to the device control system regarding the control performed by the device control system and information related to the operation state of the equipment collected by the device control system. An equipment remote monitoring and control system has been developed that includes a management center device that is remotely operated via a computer (see, for example, Patent Document 1 and Patent Document 2). Furthermore, in recent years, a group management system that manages a plurality of these device control systems is also known.
JP 2002-354553 A JP 2003-018667 A

  By the way, in the conventional equipment remote monitoring control system and group management system, it is possible to monitor the operation state of each equipment or control it to a control target value. For example, when integrated management is performed to achieve energy saving, there is no function for automatically estimating the cause when the management target is not achieved.

  Therefore, conventionally, the operator has pursued the cause by analyzing himself / herself the information on the operation state of the equipment collected in the management center device. The cause analysis by such an operator largely depends on the operator's specialized knowledge such as the structure and characteristics of buildings, the structure and characteristics of facilities, analysis techniques, and past analysis experience. As a result, depending on the operator, the cause analysis takes time, the estimated cause is not appropriate, or the estimation itself cannot be performed. For example, even when comparing the current situation with respect to the difference in the operating state of equipment and the achievement rate of management targets, etc., there were differences in the climate, the operation mode of the building, etc., and it was difficult to analyze the cause appropriately.

  The present invention is an invention made in view of the above-described circumstances, and provides a building facility management analysis device that can infer the cause of the management target not being reached when the operation state of the facility does not reach the management target. For the purpose.

  In order to achieve the above-described object, the building equipment management analyzer according to the present invention includes an information receiving unit that receives information necessary for managing the operating state of equipment disposed in a building, and the operating state of the equipment. If the management target does not reach the management target, an inference processing procedure storage unit that preliminarily stores an inference processing procedure for inferring the cause of the management target not reaching, and the information received by the information receiving unit according to the inference processing procedure An inference unit for inferring a cause and an output unit for outputting an inference result of the inference unit are provided.

  In the building equipment management analysis apparatus described above, the management target is at least one of energy consumption and resource consumption consumed by the equipment.

  In the building equipment management analysis apparatus described above, the management target is comfort of a living space realized by operation of the equipment.

  Further, in these building equipment management analysis devices described above, the information receiving unit receives the information from a remote data collection device via a communication network, and the remote data collection device monitors a plurality of facilities. The operation state information relating to the operation state and the environment of the building are monitored, and the environment state information relating to the environment state is collected as the information.

  And in these above-mentioned building equipment management analyzers, a building model that stores a building model represented by an arithmetic expression indicating a relationship between an operating state of the equipment and a factor that dominates the operating state among the types of information A storage unit; and a reference generation unit that calculates a reference value of the management target based on the building model, wherein the inference processing procedure determines information received by the information receiving unit based on the reference value. It is characterized by inferring the cause.

  In the building equipment management analyzer described above, the building model is a mathematical model obtained by a statistical method based on the past information, and is updated at predetermined time intervals. And

  Furthermore, in these building equipment management analysis devices described above, the inference unit infers the cause according to the inference processing procedure after accumulating all the information received by the information receiving unit, and the management goal is: It is at least one of the energy consumption and the resource consumption consumed by the facility, and the inference processing procedure is performed according to the type of energy and / or the type of resource, and the type of facility that consumes the energy. Adopt at least two items: different and / or the type of equipment that consumes the resource, and the floor where the equipment that consumes the energy is arranged and / or the floor where the equipment that consumes the resource is arranged And inferring.

  And in these above-mentioned building facility management analyzers, the facility operation mode and / or the schedule storage unit for storing a schedule indicating the correspondence relationship between the building operation mode and the date is received by the information receiving unit. A filtering unit that extracts information related to the date according to the management target from the information based on the schedule, and the inference unit analyzes using the information extracted by the filtering unit. And

  Moreover, in the above-described analysis apparatus for building facility management, the output unit is a display device, and the inference processing procedure can display a guidance screen for inducing the cause on the display device in the middle of the procedure. It is characterized by.

  In the building equipment management analysis apparatus having such a configuration, the inference processing procedure storage unit stores in advance an inference processing procedure for inferring the cause of the management target not being reached when the operation state of the equipment does not reach the management target. Since the section analyzes information according to this inference processing procedure and infers the cause of the management target not being achieved, the estimation result for the cause of the management target not being achieved can be automatically obtained. For this reason, by using an analysis apparatus for building facility management, it is possible to appropriately obtain an estimation result regarding the cause of the management target not reaching without depending on the operator's expertise and past analysis experience.

  In particular, in the building equipment management analyzer that can display the guidance screen to the cause on the display device in the middle of the procedure, even operators with little expertise or past analysis experience can be managed by being invited to the guidance screen. It is possible to appropriately obtain an estimation result regarding the cause of the target not being reached.

(Explanation of terms)
Below, the meaning in this specification about some terms is explained. The equipment is machinery and equipment arranged in a building (including a case where the equipment is arranged adjacent to the building) that consumes energy and / or resources, or a combination thereof. The operation state information related to the operation state includes, for example, information directly representing the operation state such as power on / off, voltage, current, water pressure, and rotation speed, for example, operation such as electric energy, operation time, and facility temperature. Contains information that indirectly represents the state. The environmental state information related to the environmental state includes, for example, information directly representing the current environmental state such as temperature, humidity, and illuminance, for example, temperature of the adjacent room, outside air temperature, yesterday temperature, yesterday humidity, etc. It also includes information that indirectly represents environmental conditions. A use is a place where energy is consumed and consumed. An element is a type of energy. Comfort is the comfort felt by the resident.
(Configuration of the embodiment)
Embodiments according to the present invention will be described below with reference to the drawings. In addition, the structure which attached | subjected the same code | symbol in each figure shows that it is the same structure, The description is abbreviate | omitted.

  FIG. 1 is a diagram illustrating a configuration of a data analysis system according to the embodiment. FIG. 2 is a block diagram illustrating a configuration of an analysis apparatus for building facility management.

  In FIG. 1, the data analysis system 1 performs predetermined processing on the cause of the management target not being reached when information necessary for managing the operation state of the equipment arranged in the building does not reach the management target of the operation state of the equipment. According to the building equipment management analysis device 11 (hereinafter abbreviated as “analysis device 11”), and a plurality of equipment is monitored to monitor the operating state information related to the operating state and the environment of the building. One or a plurality of data collection subsystems 12 (in the example shown in FIG. 1, a plurality of data collection subsystems a12-a, a data collection subsystem b12-b, a data collection subsystem c12-c) ,..., And the analyzer 11 and the data collection subsystem 12 are connected to each other via a communication network 13 so as to communicate with each other.

  The data collection subsystem 12 measures physical quantities related to the operating state of equipment in buildings such as office buildings, apartment buildings, and factories, and physical quantities related to the environmental state, and provides information (operating state information and It is a system that transmits it as environmental status information) to the analyzer 11 via the communication network 13. The data collection subsystem 12 includes, for example, a plurality of sensors (hereinafter abbreviated as “SEN”) 18 installed in a building and measuring these predetermined physical quantities in the building, and a local communication network 17 from the plurality of sensors 18. And a remote data collection device 16 that collects the predetermined physical quantity measured via the network and transmits the collected predetermined physical quantity as information via the communication network 13.

  The predetermined physical quantity is information (operation state information and environmental state information) necessary for managing the operation state of the equipment arranged in the building, and is an amount necessary for analysis items to be analyzed by the analyzer 11. is there. The predetermined physical quantity is not particularly limited. For example, when analyzing power consumption consumed in a building, it is electric power and / or electric energy, and when analyzing water consumption, it is water quantity and analyzing consumption gas. In the case of analyzing the degree of achievement of energy saving, the power, electric energy, water amount, gas amount, the flow rate of the heat medium supplied to the facility, the fluid sent from the facility (for example, air or Water) flow rate and temperature, humidity, illuminance, etc. which are factors that govern the operating state of the equipment that consumes these. Factors governing the operating state of the facility are experimentally determined by experience, as will be described later in the building model. In addition to room temperature, the temperature includes the temperature of air supplied to the room and the temperature of the heat medium supplied to the facility. For this reason, the SEN 18 is a device according to the physical quantity to be measured. For example, a voltmeter, ammeter, wattmeter, watthour meter, water meter (liquid flow meter), water level meter, gas meter (gas flow meter) An anemometer, an anemometer, an inverter frequency meter, a pressure sensor, a temperature sensor, a humidity sensor, an illuminance sensor, a flow rate sensor, a human sensor, and a damper opening sensor of an air damper provided in an air flow path in a building. Here, among the above, electric power, electric energy, amount of water, amount of gas, flow rate of heat medium supplied to the facility, flow rate of fluid (for example, air or water) sent from the facility, and temperature of the heat medium are operating states. It is an example of information, and room temperature, humidity, and illuminance are examples of environmental state information. In other words, the environmental state information causes and results in the driving state information. In response to the environmental state information, the operating state of the facility is maintained or updated, and the environmental state information is maintained or updated in an appropriate state.

  In addition, since a human is a heat source from the viewpoint of energy consumption, it can be used for analysis of energy consumption by detecting the presence / absence, number of people, and location of residents in a building by means of a human sensor. In addition, since the wind direction, wind force, damper opening, inverter frequency, and the like are related to the energy consumption of the air conditioner, more accurate analysis can be performed by providing a sensor for measuring these.

  The communication network 17 is a local communication network, and is a transmission path that connects the remote data collection device 16 and the plurality of sensors 18 so that they can communicate with each other. The remote data collection device 16, the communication network 17, and the plurality of sensors 18 configure a local area network (LAN) using, for example, an Ethernet (registered trademark) communication protocol, a power line communication protocol, or the like.

  For example, the data collection subsystem a12-a collects the power consumption of a plurality of lighting fixtures installed in a building via the communication network a17-a, and sends the power consumption to the analyzer 11 via the communication network 13. , SENa18-aa, SENb18-ab, SENc18-ac,... Are wattmeters, and the remote data collection device a16-a integrates the power values from each SEN18. Then, the value of the electric energy is transmitted to the analyzer 11 as information. Note that the SEN 18 in the data collection subsystem 12 may be one type of device for measuring one type of physical quantity, or a plurality of types of devices may be mixed for measuring a plurality of types of physical quantities. For example, a plurality of types of devices such as a power meter, a temperature sensor, and an illuminance sensor may be mixed.

  In addition, for example, the data collection subsystem b12-b collects data such as the amount of steam consumed and the amount of gas consumed in a heat source machine such as an absorption refrigeration machine and a gas-fired boiler, and is consumed by the analyzer 11 via the communication network 13. This is a system that transmits information such as the amount of steam and the amount of gas consumed as information. Further, for example, the data collection subsystem c12-c is a system that collects water consumption data such as toilets and water heaters and transmits the consumption flow rate as information to the analyzer 11 via the communication network 13. Note that each of the data collection subsystem b12-b and the data collection subsystem c12-c has a unique sensor and a local communication network.

  The communication network 13 is a transmission path such as a telephone network, a digital communication network, and a wireless communication network, and a communication signal is transmitted using a predetermined communication protocol. The communication network 13 constitutes the Internet using, for example, an Internet protocol such as TCP / IP (Transmission Control Protocol / Internet Protocol) as a communication protocol.

  The building equipment management analysis device 11 is a device that outputs and analyzes information (operation state information and environmental state information) collected by the data collection subsystem 12. In this embodiment, the analysis device 11 is a data collection sub-system. Output of the information collected by the system 12, statistical processing of these information by a predetermined statistical processing method and output of the statistical processing result, and processing these information according to a predetermined inference processing method It is a computer that performs inference and output of the cause of the inference. The output of the information, the statistical processing and the output of the statistical processing result, the inference of the cause, and the output of the inference cause may be executed for each data collection subsystem 12, or a plurality of data collection subsystems may be executed. It may be executed collectively.

  As shown in FIG. 2, for example, the analyzer 11 includes a central processing unit 21, an input unit 22, an output unit 23, an internal storage unit 24, an external storage unit 25, an auxiliary storage unit 26, a communication interface 27, and a bus 28. Configured.

  The central processing unit 21 is constituted by, for example, a microprocessor and functionally includes an analysis data collection processing unit 211, an analysis data filtering unit 212, a clock / calendar unit 213, an analysis data calculation processing unit 214, a reference generation unit 215, A determination unit 216, an inference unit 217, and an instruction guide unit 218 are provided, and the input unit 22, output unit 23, internal storage unit 24, external storage unit 25, auxiliary storage unit 26, and communication interface 27 are controlled according to a control program.

  The analysis data collection processing unit 211 sends information (operation state information and environment management information, predetermined physical quantity) necessary for managing the operation state of the equipment arranged in the building from the data collection subsystem 12 to the communication network 13 and communication. Collected via the interface 27 and stored in the analysis data storage unit 261. The necessary information may be collected by polling the data collection subsystem 12 by the analysis device 11, or communication that accommodates necessary information spontaneously transmitted by the data collection subsystem 12. You may collect by receiving a signal.

  The analysis data filtering unit 212 selectively extracts information necessary for analysis from the collected information based on operation contents stored in a schedule storage unit 262 described later. For example, in an office building, the access of people and the operating status of equipment differ between weekdays from Monday to Friday and holidays on Saturdays, Sundays and public holidays (Saturdays may be treated as weekdays). When performing analysis, information necessary for analysis is selectively extracted from the collected information based on the day of the week. In addition, for example, in a factory, the entry and exit of people and the operating status of equipment differ depending on the work day.When working day analysis is performed, the information necessary for analysis is selectively selected based on the work day from the collected information. Extract. In addition, for example, since the entry / exit of people and the operating status of equipment differ depending on working hours, lunch breaks, and non-working hours, when analyzing working hours, the information necessary for analysis is based on the working hours from the collected information. Selectively extract.

  The clock / calendar unit 213 measures the time, acquires the calendar, and outputs the date when the physical quantity collected by the analysis data collection processing unit 211 is stored in the analysis data storage unit 261. The analysis data collection processing unit 211 adds year / month / day information to the collected physical quantity and stores the information in the analysis data storage unit 261.

  The analysis data calculation processing unit 214 statistically processes the information selectively extracted by the analysis data filtering unit 212 by a predetermined statistical processing method, and outputs the statistical processing result to the output unit 23, or the analysis data storage unit 261. Or remember. The predetermined statistical processing method is, for example, integration, average, variance, standard deviation, frequency distribution, frequency product, or the like. In the present embodiment, the statistical processing result is output as a graph from the viewpoint of easily grasping the statistical processing result.

  The reference generation unit 215 stores, in a building model storage unit 263 (to be described later), a reference value for determining collected information and statistical processing results for the purpose of obtaining a predetermined result, for example, for the purpose of obtaining a cause for not reaching the management target. Generate based on the building model. The reference generation unit 215 notifies the determination unit 216 of the generated reference value. The discriminating unit 216 discriminates collected information and statistical processing results based on the reference value generated by the reference generating unit 215 and notifies the inference unit 217 of the discrimination results. The inference unit 217 processes information according to an inference program stored in an inference rule storage unit 264 described later to infer the cause. The instruction guiding unit 218 outputs a guidance screen for guiding to a cause according to each processing stage of the inference program to the output unit 23 so that an operator who is not good at analysis can obtain an appropriate inference result.

  The input unit 22 is a device that allows an operator or the like to input various commands and various data such as an activation instruction, an information collection instruction, a statistical processing execution instruction, and an inference execution instruction to the analysis apparatus 11. For example, a keyboard or a mouse. The output unit 23 is a device that displays a command input from the input unit 22, data, collected information, statistical processing results, a guidance screen corresponding to each processing stage of inference, an inference result, an operation status of the analysis apparatus 11, and the like. For example, a display device such as a CRT display, LCD, organic EL display, or plasma display, a printer device, an external storage device, and a server computer that performs communication via a communication network. In the present embodiment, a display device is used because interactive guidance is provided with an operator. Further, when the output unit is an external storage device or a server computer, detailed analysis can be performed at another time.

  The internal storage unit 24 is a RAM (Random Access Memory) that reads a control program executed by the central processing unit 21 from the auxiliary storage unit 26 and temporarily stores each data during execution of the control program. The external storage unit 25 is, for example, a flexible disk, a CD-ROM (Compact Disc Read Only Memory), a CD-R (Compact Disc Recordable), a DVD-R (Digital Versatile Disc Recordable), and a DVD-RW (Digital Versatile Disc ReWritable). For example, a flexible disk drive, a CD-ROM drive, a CD-R drive, a DVD-R drive, a DVD-RW drive, or the like is a device that reads data from and / or writes data to a storage medium. The external storage device 25 is provided in the analyzer 11 as necessary.

  The auxiliary storage unit 26 is a device that stores data such as a hard disk, for example, and includes the analysis data storage unit 261, the schedule storage unit 262, the building model storage unit 263, and the inference rule storage unit 264, and also operates the analysis device 11. Each program (not shown) such as a control program for storing data and data (not shown) during and after execution of each program are stored. When each program is not stored, it is installed in the auxiliary storage unit 26 via the external storage unit 25 from the recording medium on which these programs are recorded. Note that each program may be downloaded via a communication network 13 and a communication interface 27 from a server computer (not shown) that manages these programs.

  The analysis data storage unit 261 stores information collected from the data collection subsystem 12 and statistical processing results of the information. The information collected from the data collection subsystem 12 is stored in the analysis data storage unit 261 so that the type of information (physical quantity type), the measured SEN 18, the measured date and time, and the like can be known.

  The schedule storage unit 262 stores a schedule (operation schedule) indicating a correspondence relationship between the operation mode of the facility and the date in the building where the data collection subsystem 12 is installed, and the year when the operation content of the facility is executed. , Month, day, day of week and time are stored. As described in the example of the office building and factory described above, the schedule is necessary because the operating state of the equipment differs depending on the difference between weekdays and holidays, and the difference between working days and non-working days. Note that the operation mode of the facility and the operation mode of the building where the facility is located are inextricably linked since the facility is operated according to the operation mode of the building. The operational form of the building may be stored in Or you may comprise so that both the operation | use form of an installation and the operation | use form of a building may be memorize | stored. The operation mode of the facility indicates how the facility is used for one day, and includes, for example, the number of operating facilities, operation start, operation level, and operation stop. The operation mode of the building indicates how the building is used, for example, normal use and normal use according to the use of the building, and normal use is, for example, cleaning, insecticidal insecticidal disinfection and maintenance, etc. It is. The schedule is stored in advance before inferring the cause of the management target not being achieved.

  The building model storage unit 263 is represented by an arithmetic expression that indicates the relationship between the operation state of the facility and the factors that control the operation state among the operation state information and the environmental state information. A building model which is an arithmetic expression for calculating is stored. In the building model, taking into account the physical causal relationship, the mathematical formula for calculating the reference value is the relationship between the reference value and the physical quantity (factor that governs the operating state of the facility) that causes this reference value. There are two types: a mathematical model that is defined statistically, and a physical model that defines a physical phenomenon based on a causal relationship, and a mathematical formula for calculating a reference value in consideration of the structure of the device. In the mathematical model, for example, a relational expression between a reference value (objective variable) and a physical quantity (explanatory variable) that causes the reference value is obtained by multiple regression analysis or by a neural network. The mathematical model is expressed by, for example, Y = aX + b (X, Y, a, and b are vectors), and a and b are obtained by multiple regression analysis or a neural network. That is, a mathematical model is determined by obtaining a and b using previously measured explanatory variables, and the reference value is a mathematical model based on the values of the explanatory variables in the operating state determined according to the management target of each facility. Find by substituting. The building model is stored in advance before inferring the cause of the management goal not being achieved. As will be described later, using this building model, the inference unit 217 derives a reference value of energy consumption in a normal operating state of each facility and compares it with actually measured data.

  Since the mathematical model is defined from physical quantities measured within a predetermined period, it is a model that reflects the actual situation and can appropriately calculate the reference value. Since there are no or few measured physical quantities at the beginning of installation, it is difficult to obtain an appropriate model, and as a result, it is difficult to calculate the reference value appropriately. On the other hand, since the physical model can be obtained if the structure of the device is determined, the reference value can be calculated even when the data collection subsystem 12 is initially installed in the building. Since approximation is often performed when used, it is difficult to accurately reflect the actual situation, and as a result, the reference value may not always be appropriate. Further, since any value can be input to the physical model, the reference value can be calculated in various situations.

  Note that the mathematical model may be configured to be updated at a predetermined time interval according to the collected physical quantity from the viewpoint of appropriately reflecting recent operation modes of facilities and buildings and obtaining an appropriate reference value. The predetermined time interval is determined according to the accuracy required for the mathematical model and the temporal variation of the physical quantity. For example, one day, one week, one month, one year or season (spring, summer, autumn, Winter, summer, middle, winter, etc.).

  The inference rule storage unit 264 stores an inference program based on an inference processing procedure to be described later, for inferring the cause of the management target not being reached when the operation state of the facility does not reach the management target. In the analysis apparatus 11 according to the present embodiment, the operator can appropriately infer the cause even if the operator is not good at the analysis by proceeding with the analysis according to the inference program.

  The communication interface 27 is connected to the communication network 13 and is a device for transmitting and receiving communication signals to and from the data collection subsystem 12 via the communication network 13. The central processing unit 21, the input unit 22, the output unit 23, the internal storage unit 24, the external storage unit 25, the auxiliary storage unit 26, and the communication interface 27 are connected to the bus 28 so that data can be exchanged with each other. Each is connected.

Next, the operation of this embodiment will be described.
(Operation of the embodiment)
In the present embodiment, the data collection subsystem 12 is installed in an office building, and is installed in the office building. A heat source facility, such as a boiler or a refrigerator, which generates heat / cold heat and its auxiliary equipment, water supply The consumption of each energy (resource) such as electric power, gas, petroleum, heavy oil, steam consumed in various facilities such as pumps, blower fans, air conditioners, lighting fixtures and OA outlets, and the operating state of the facilities that consume them. A case where the data collection subsystem 12 measures a physical quantity that becomes a controlling factor and the analysis apparatus 11 manages and analyzes each energy consumption will be described.

  In this embodiment, the physical quantity to be measured is, for example, heat source equipment power, primary pump power, cooling tower power, cooling water pump power, gas consumption, petroleum consumption, and heavy oil consumption as the operation state information. The secondary pump power for the secondary pump, the fan power for the blower fan, the use of humidifying makeup water, the humidifier power and the total heat exchanger power for the air conditioner For lighting fixtures, it is lighting power, and for OA outlets, it is the power of OA outlets, and as environmental state information, there are room temperature, room humidity, and carbon dioxide concentration.

  In inferring the cause of failure to reach the management target, the analysis data collection processing unit 211 in the central processing unit 21 of the analysis apparatus 11 receives information (the above-described operation state information) from the data collection subsystem via the communication interface 27 and the communication network 13. And environmental state information) are collected, and the collected information is stored in the analysis data storage unit 261 while adding the date and time information from the clock / calendar unit 213. It is assumed that the reference generation unit 215 of the central processing unit 21 calculates a reference value based on the building model stored in the building model storage unit 263 of the auxiliary storage unit 26. In the energy management reasoning program, after the period is extracted, information obtained by selectively extracting information in the analysis data storage unit 261 based on the schedule in the schedule storage unit 262 using the analysis data filtering unit 212 is input. And

  FIG. 3 is a flowchart showing an inference processing procedure in the case of energy management. FIG. 4 is a diagram showing an analysis item selection screen. FIG. 5 is a diagram showing an energy management screen for each application. FIG. 6 is a diagram showing an element-specific energy management screen. FIG. 7 is a diagram illustrating a floor energy management screen. FIG. 8 is a diagram showing a specific use / floor energy management screen and a graph screen. FIG. 8A is a diagram showing a specific use / floor energy management screen, and FIG. 8B is a diagram showing a graph screen. 9 and 10 are diagrams illustrating other examples of the graph screen.

  In FIG. 3, for example, when an operator inputs a command from the input unit 22, the central processing unit 21 starts an energy management inference program stored in the inference rule storage unit 264. The energy management inference program is software in which an inference processing procedure for searching for types of energy and facilities that consume more energy than the reference value (usually assumed consumption) calculated by the building model is programmed. . By analyzing the actual consumption of energy while being guided to each guidance screen according to the energy management reasoning program, even an operator who is not good at the analysis can appropriately perform the analysis.

  When the energy management inference program is activated, the inference unit 217 of the central processing unit 21 outputs a screen for selecting an analysis item, for example, the analysis item selection screen 301 shown in FIG. The information is displayed on the display device as the unit 23.

  In FIG. 4, an analysis item selection screen 301 includes an “energy for each use” button 311 for inputting an instruction to cause the analysis device 11 to analyze energy consumption for each use, and analysis of the energy consumption for each element to the analysis device 11. An “energy by element” button 312 for inputting an instruction to be performed, and an “energy by floor” button 313 for inputting an instruction to cause the analysis apparatus 11 to analyze energy consumption for each floor of the target building. Composed. Even if the operator does not know what analysis item should be used for analysis, the operator can refer to this analysis item selection screen 301 to determine what causes the management target non-reaching reason in energy management. You can know if the analysis item can be considered. The operator aligns the cursor with the button of the analysis item to be executed using the input unit 22 such as a mouse, and the analysis item to be executed is input to the analysis device 11 by operating. The instruction guiding unit 218 determines from which item energy management is performed according to the input analysis item (S11).

  Here, the use is, for example, a place where energy is consumed and consumed such as a heat source facility, a water conveyance device, an air conveyance device, a lighting fixture, and an OA outlet. Elements include, for example, general power (three-phase three-wire system 200V), general power (single-phase three-wire system 200V, single-phase two-wire system 100V), gas, oil, DHC (District Heating and Cooling; district heating and cooling system) It is the type of energy such as supply heat or energy and water, and the measured physical quantity is classified according to the management purpose and fitted. In addition, since the power supplied from the outlet is grasped as OA equipment power consumption, the power for other uses is classified as general power. However, this example is integrated or separated for convenience of management. It is optional to do.

  As a result of the determination in process S11, when the analysis item is energy for each use (energy for each use), the inference unit 217 uses the instruction guide unit 218 to collect the energy for each usage and use results, reference values, and A use-specific energy management screen for displaying the analysis result is displayed on the display device (S14).

  For example, the application-specific energy management screen 302 is divided into three areas as shown in FIG. 5, and includes a title display area 321 that displays a title, an analysis period of information, and an analysis period unit, and an energy management. The analysis range instruction area 322 for inputting the analysis period, the analysis period unit and the output instruction to the analysis apparatus 11, and the analysis area 323 for displaying the usage record, the reference value, and the analysis result by collecting the energy according to the usage. Configured.

  The analysis range instruction area 322 includes an analysis period input unit 3221 for inputting an analysis period to be analyzed in year and month, an analysis period unit input unit 3222 for inputting an analysis period unit, and an analysis period. A calendar unit 3224 for displaying a calendar to be referred to, and a calendar displayed on the calendar unit 3224 are changed to the year and month input to the analysis period input unit 3221, and the year and month input to the analysis period input unit 3221 and A “change” button 3223 for inputting an instruction to change the contents of the analysis region 323 during the analysis target period specified in the analysis period unit input to the analysis period unit input unit 3222, and the current energy management screen 302 for each application A “screen snap” button 3225 for instructing the printing of the image and a current usage-specific energy management screen 302 according to a predetermined format. Configured to include a "report" button 3226 for instructing the printing of what is. Analysis units include daily units, weekly units, monthly units, and yearly units.

  The analysis area 323 includes an analysis display unit 3231 that displays the usage records, reference values, and analysis results by collecting energy according to usages, and a “by element” button 3232 for inputting an instruction to shift to the elemental energy management screen. And a “to floor” button 3233 for inputting an instruction to shift to the floor energy management screen. By providing a button for transferring to another analysis item screen on the energy management screen 302 for each use, it is possible to easily change from one analysis item selected to another analysis item without going through the analysis item selection screen 301 shown in FIG. Can be migrated. For this reason, if the operator thinks that the analysis item selected once is inappropriate, the operator can easily move to another analysis item, so that the analysis item can be selected by trial and error, especially for analysis. Useful for poor operators. The analysis display unit 3231 displays the usage results, reference values, and analysis results in which energy is grouped according to usages in a table format. In the example shown in FIG. 5 of the present embodiment, the analysis display unit 3231 displays the usage name. An energy item field 3231-a to be displayed, an amount field 3231-b to display an energy use target and an actual use result, a time field 3231-c to display a cumulative energy use time, and an operation efficiency to display operation efficiency An analysis table that includes a field 3231-d and an energy saving target field 3231-e that displays a target value of energy saving and in which a record is created for each use is displayed. The quantity field 3231-b is further provided with an analysis result display column 3231-b1 for displaying the analysis result of the usage record, and a numerical value display column 3231-b2 for displaying the use target and the value of the use record. The In this way, not only the energy usage results are displayed as quantity and time, but also the operation efficiency, which is a dimensionless amount, is displayed, so comparisons between each item of application and consideration of problems specific to equipment or systems are also performed be able to. Further, the energy item field 3231-a is not only a use name, but also a button for inputting an instruction to shift to a floor energy display screen for the use name.

  The analysis result display field 3231-b1 is displayed with a “→” button when the usage record is within a predetermined range with respect to the reference value, for example, within ± 1%, and the usage record indicates the predetermined range. Displayed with the “↓” button when the value is below the reference value that has been exceeded (if the specified range is ± 1%, the difference between the actual value and the reference value has exceeded 1% on the minus side) And when the actual usage exceeds the reference value exceeding the predetermined range (if the predetermined range is ± 1%, the difference between the actual value and the reference value exceeds 1% on the plus side. In the case of a case, it is displayed with the “↑” button. For this reason, since the comparison result between the usage record and the reference value is visually displayed, the operator can easily grasp the comparison result at a glance. Further, by operating each “→” button, “↓” button, or “↑” button in the analysis result display field 3231-b 1, the usage results in the application are displayed in a graph. By displaying the analysis result in this way, even an operator who is not good at analysis can easily recognize where the problem is.

  In addition, from the standpoint of calling attention to the problem location, the operator who is not good at analysis can easily recognize the problem location and know which application item to check next. In view of the above, the colors of the “→” button, “↓” button, and “↑” button may be changed. For example, from the viewpoint of avoiding erroneous judgments by making judgments similar to those of daily life, the “→” button is green and the “↓” button is blue. In addition, the “↑” button is configured to develop a red color.

  In addition, the time field 3231-c and the operation efficiency field 3231-d also include an analysis result display field for displaying actual analysis results and a numerical value display field for displaying target and actual values, as in the quantity field 3231-b. Further, it may be configured to display the results in the application in a graph by operating a button in the analysis result display column.

  Here, the target value displayed in the numerical value display column 3231-b2 and the value displayed in the energy saving target field are reference values calculated by the reference generation unit 2251.

  Returning to FIG. 3, the inference unit 217 of the central processing unit 21 uses the determination unit 216 to determine whether or not there is a use whose energy use record is equal to or higher than a reference value in each use (S15). As a result of the determination, when there is no use exceeding the reference value (there is no), the inference unit 217 uses the instruction guide unit 218 to indicate that the actual use of energy satisfies the reference value and no increase is found. A message of “energy consumption is good” is displayed on the display device (S28), and processing S31 described later is executed.

  On the other hand, as a result of the determination in process S15, if there is a use exceeding the reference value (there is), the inference unit 217 determines whether the use above the reference value is a heat source facility or a water transport facility (S16). If the use above the reference value is not the heat source facility and the water transport facility (No), the process S17 is executed. If the use above the reference value is the heat source facility and the water transport facility (Yes), the process S25 is performed. Execute. Here, the reason for performing the process S16 is to pursue the rationality of the analysis. That is, the optimal analysis procedure is taken for each analysis target. There are few heat sources (for example, refrigerators) and the amount of energy (resources) consumed per unit is large. In some office buildings, refrigerators account for ¼ of the energy consumed by building equipment. Therefore, the process proceeds directly to step S25 described later. Air conveyance (for example, a blower), lighting (the same, lighting fixtures), and OA outlets are large in number (number, number of locations), but have low power consumption per unit (piece, location). And many of them are always installed on each floor. Therefore, multiple devices can be grouped and analyzed. The latter is the latter for water conveyance (same as the pump). However, since the grouping is a group for each “floor” of the building, the process directly goes to step S25. However, for example, if only the water transport group is separated by “fluid (cold water, hot water, steam return water, drainage, brine, etc.), the operator can enjoy the same merit as the latter machinery and equipment. When there are a plurality of uses, a plurality of problem parts can be individually analyzed in a separate window.

  In process S17, the inference unit 217 uses the instruction guide unit 218 to display the usage record, the reference value, and the analysis result for each use (specific use) that is equal to or higher than the reference value in the determination in process S15. Display the energy management screen for specific uses and floors on the display device. The specific use / floor energy management screen, for example, except that the display content is limited to the specific use and that the specific use (use that was higher than the reference value) is displayed as a headline on the screen. This is the same as the floor energy management screen described later.

  Next, the inference unit 217 uses the determination unit 216 to determine whether or not there is a floor having an energy usage record equal to or higher than a reference value on each floor in the specific use / floor energy management screen (S18). Analyzing energy usage results by floor in this way is meaningful for identifying floors above the standard value, but analyzing energy usage performance by device immediately without identifying floors can be used for many devices. This is because not only will analysis take time, but also analysis will be performed on devices that do not need to be analyzed. Thus, this energy management reasoning program is a program that reflects knowledge in energy analysis, and is devised so that an appropriate analysis result can be obtained efficiently and logically.

  If the result of determination in process S18 is that there is no floor that is greater than or equal to the reference value (no), the inference unit 217 uses the instruction guidance unit 218 to indicate that the cause could not be specified in this inference process procedure. Is displayed on the display device (S19), and the process is terminated. For example, although the energy consumption tends to increase as a whole, when each device is increasing little by little and cannot be identified as one device, the processing S19 is reached. In addition, by recognizing this message by the operator, if the operator wants to perform further detailed analysis, he or she can get an opportunity to take other measures such as consulting with an operator who is good at analysis or an analysis expert. Can do.

  In process S25, the inference unit 217 uses the instruction guidance unit 218 to record the usage results for the equipment specified at the branching source, for example, in units of equipment such as a heat source system unit, an air conditioner unit, or an illumination zone unit. The device-specific energy management screen displaying the reference value and the analysis result is displayed on the display device. Although air conditioners can be handled in units of equipment, lighting fixtures are managed in units of zones because they are rarely controlled by a single device due to their control characteristics.

  In the display of the energy management screen for each device, when the process branches from the process S16, the energy management screen for each apparatus is displayed for the heat source facility or the water transfer facility, and when the process branches from the process S18, the process proceeds to the process S15. A device-specific energy management screen is displayed for the specified facility, and when branching from processing S24 described later, a device-specific energy management screen is displayed for the facility specified in processing S24. The energy management screen for each device is a screen that displays, for example, usage results, usage time, operating efficiency, energy saving targets, and analysis results in a tabular format for each device for floors / uses indicating a reference value or more.

  After execution of the processing S25, the inference unit 217 uses the determination unit 216 to determine whether or not there is a device whose energy usage record is equal to or higher than a reference value in each device on the heat source / device-specific energy management screen ( S26). As a result of the determination, when there is no device that is equal to or greater than the reference value (there is no), the inference unit 217 uses the instruction guide unit 218 and executes the above-described processing S19, and uses the instruction guide unit 218 to perform the inference. A message indicating that the cause could not be specified in the processing procedure is displayed on the display device, and the processing ends. On the other hand, if there is a device that is equal to or greater than the reference value as a result of the determination (there is), the inference unit 217 uses the instruction guide unit 218 to display the identified cause and execute the device-specific analysis scenario. Is displayed on the display device (S27), and the process is terminated.

  The device-specific analysis scenario is a tool for individual analysis prepared for pursuing the cause of an energy loss problem or trouble down to the device level in each data collection subsystem 12.

  On the other hand, in the selection of the analysis item in step S11, if the analysis item is elemental energy as a result of the determination, the inference unit 217 uses the instruction guide unit 218 to collect energy by element and use results, criteria The element-specific energy management screen for displaying the value and the analysis result is displayed on the display device (S12). By executing this process S12, it is possible to grasp and judge the energy usage for each energy element that is directly related to the cost for the operator who manages the building.

  For example, the elemental energy management screen 303 includes a title display area 331, an analysis range instruction area 332, and an analysis area 333, as shown in FIG.

  The analysis range instruction area 332 includes an analysis period input unit 3321, an analysis period unit input unit 3322, a “change” button 3323, a calendar unit 3324, a “screen snap” button 3325, and a “report creation” button 3326. It is prepared for. The analysis area 333 includes an analysis display unit 3331, a “by application” button 3332 for inputting an instruction to shift to a usage-specific energy management screen, and a “to floor” button 3333. The analysis display unit 3331 displays the usage results, reference values, and analysis results in which energy is grouped by element in a tabular format. In the example shown in FIG. 6, the analysis display unit 3331 displays an energy item field for displaying element names. 3331-a, quantity field 3331-b, time field 3331-c, operation efficiency field 3331-d, and energy saving target field 3331-e are configured and an analysis table in which records are created for each element is displayed. Is done. The quantity field 3331-b further includes an analysis result display column 3331-b1 and a numerical value display column 3331-b2.

  Except for displaying the element name in the energy item field 3331-a and providing the “by application” button 3332 instead of the “by element” button 3232, these title display area 331, analysis range instruction area 332, analysis Area 333, analysis period input unit 3321, analysis period unit input unit 3322, “change” button 3323, calendar unit 3324, “screen snap” button 3325, “report creation” button 3326, analysis display unit 3331, “to floor” Button 3333, energy item field 3331-a, quantity field 3331-b, time field 3331-c, operation efficiency field 3331-d, energy saving target field 3331-e, analysis result display column 3331-b1, and numerical value display column 3331 -B2 is the title shown in FIG. Display area 321, analysis range instruction area 322, analysis area 323, analysis period input section 3221, analysis period unit input section 3222, "change" button 3223, calendar section 3224, "screen snap" button 3225, "report creation" button 3226 , Analysis display unit 3231, “to floor” button 3233, energy item field 3231-a, quantity field 3231-b, time field 3231-c, operation efficiency field 3231-d, energy saving target field 3231-e, analysis result display Since this is the same as each of the column 3231-b1 and the numerical value display column 3231-b2, description thereof will be omitted.

  Returning to FIG. 3, after the screen shown in FIG. 6 is displayed in step S <b> 12, the inference unit 217 uses the determination unit 216 so that the actual use of energy exceeds the reference value in each element on the elemental energy management screen 303. It is determined whether there is an element that is (S13). As a result of the determination, if there is an element that is equal to or greater than the reference value (there is), the inference unit 217 uses the instruction guide unit 218 to display the energy management screen for each use by the above-described process S14, and the above-described process The process after S15 is executed. Since it is a device, that is, an application that uses an element in this way, the process proceeds to step S14. On the other hand, if the result of the determination is that there is no element that is greater than or equal to the reference value (there is no), the inference unit 217 uses the instruction guide unit 218 to indicate that a location where the energy consumption is greater than or equal to the reference value has not been found. Is displayed on the display device (S28), and a process S31 described later is executed to evaluate the comfort of the living space of the building. By recognizing this message by the operator, the operator has achieved the management goal of energy management at present, and can deduce that all the elements are below the energy saving goal.

  In addition, in the selection of the analysis item in step S11, if the analysis item is energy by floor as a result of the determination, the inference unit 217 uses the instruction guide unit 218 to collect the energy by floor and use results and standards. A floor-level energy management screen for displaying values and analysis results is displayed on the display device (S21). By executing this processing S21, for example, when the building is in the tenant format, the tenant owner or operator can determine at which floor / part of the building an increase or decrease in energy occurs.

  For example, the floor energy management screen 304 includes a title display area 341, an analysis range instruction area 342, and an analysis area 343, as shown in FIG.

  The analysis range instruction area 342 includes an analysis period input unit 3421, an analysis period unit input unit 3422, a “change” button 3423, a calendar unit 3424, a “screen snap” button 3425, and a “report creation” button 3426. It is prepared for. The analysis area 343 includes an analysis display unit 3431, a “by application” button 3432 for inputting an instruction to shift to the energy management screen for each use, and an “element” for inputting an instruction to shift to the energy management screen for each element. And a “separate” button 3433. In the analysis display unit 3431, the usage results, the reference values, and the analysis results in which energy is grouped are displayed in a table format. In the example shown in FIG. 7, the analysis display unit 3431 displays an energy item field for displaying a floor name. 3431-a, a quantity field 3431-b, a time field 3431-c, an operation efficiency field 3431-d, and an energy saving target field 3431-e, and an analysis table in which records are created for each floor are displayed. Is done. The quantity field 3431-b further includes an analysis result display field 3431-b1 and a numerical value display field 3431-b2.

  Displaying the floor name in the energy item field 3431-a, providing a “by application” button 3432 instead of the “to element” button 3232, and “by element” instead of the “to floor” button 3233 Except for the provision of “To” button 3433, these title display area 341, analysis range instruction area 342, analysis area 343, analysis period input section 3421, analysis period unit input section 3422, “change” button 3423, calendar section 3424, “ Screen snap "button 3425," Create report "button 3426, analysis display section 3431, energy item field 3431-a, quantity field 3431-b, time field 3431-c, operating efficiency field 3431-d, energy saving target field 3431-e , Analysis result display column 3431-b1, and The numerical display column 3431-b2 includes a title display area 321, an analysis range instruction area 322, an analysis area 323, an analysis period input section 3221, an analysis period unit input section 3222, a “change” button 3223, and a calendar section 3224 shown in FIG. , “Screen snap” button 3225, “report creation” button 3226, analysis display section 3231, energy item field 3231-a, quantity field 3231-b, time field 3231-c, operation efficiency field 3231-d, energy saving target field 3231 -E, the analysis result display field 3231-b1 and the numerical value display field 3231-b2 are the same as each other, and the description thereof is omitted.

  Returning to FIG. 3, after the screen is displayed in step S <b> 21, the inference unit 217 uses the determination unit 216 to store floors in which the energy consumption usage record is equal to or higher than the reference value on each floor in the floor energy management screen 304. It is determined whether or not there is (S22). As a result of the determination, when there is no floor that is equal to or higher than the reference value (there is no), the inference unit 217 displays a screen through the above-described processing S28 using the instruction guide unit 218 and executes processing S31 described later. On the other hand, if there is a floor that is equal to or higher than the reference value as a result of the determination (there is a certain floor), the inference unit 217 uses the instruction guiding unit 218 to determine the floor (specific floor) that is equal to or higher than the reference value in the determination of step S22 On the other hand, a specific floor / use-specific energy management screen for displaying the use results, reference values, and analysis results collectively for each use is displayed on the display device (S23). The specific floor / use-specific energy management screen, for example, except that the display content is limited to the specific floor and that the specific floor (floor that was higher than the reference value) is displayed as a headline on the screen. This is the same as the above-mentioned energy management screen for each application.

  Next, the inference unit 217 uses the determination unit 216 to determine whether each usage on the energy management screen for a specific floor / use has a use whose energy consumption usage record is equal to or greater than a reference value ( S24). As a result of the determination, if there is no use that does not exceed the reference value (there is no use), the inference unit 217 displays a message through the above-described process S19 using the instruction guide unit 218. On the other hand, if there is a use that is equal to or greater than the reference value as a result of the determination, the inference unit 217 notifies the instruction guiding unit 218 to that effect, and the instruction guiding unit 218 displays the screen through the above-described processing S25. indicate. Here, the reason why the process proceeds to the process S25 is to analyze an apparatus corresponding to a use with an increase in energy obtained by specific floor and use.

  In the above, the determination of whether or not the energy consumption amount is equal to or greater than the reference value and the process when there is a value equal to or greater than the reference value has been described, but the subsequent process when the energy consumption amount is within the predetermined range will be described below. .

  In process S31, the inference unit 217 uses the instruction guide unit 218 to display a building comfort evaluation screen that displays the actual value, reference value, and analysis result of comfort in the living space of the building on the display device. Comfort is the comfort felt by the resident.

  Next, the inference unit 217 determines comfort (S32). More specifically, in the present embodiment, first, in order to determine the comfort for the indoor temperature, a frequency distribution of the indoor temperature is created from the actual values, and the upper limit reference value is equal to or higher than the lower limit reference value calculated from the building model. The sum of the frequencies of each class (referred to as “sum between reference values Sum”) and the sum of the frequencies of all the classes (referred to as “total sum Sum”) are calculated, and the standard in this total sum Sum is calculated. A percentage of the sum Sum between values (referred to as “comfort index IDCom”) is calculated, and when the comfort index IDCom is less than the threshold, it is determined that the room temperature is uncomfortable, and when the comfort index IDCom is greater than or equal to the threshold, the room temperature is determined. Judge that it is comfortable. Similarly, comfort is also determined for indoor humidity. If both the room temperature and the room humidity are comfortable, it is determined that the room is comfortable in the living space of the building. If either the room temperature and the room humidity are unpleasant, the room is uncomfortable in the living space. Judge. The class is a class of frequency distribution. For example, in the case of temperature, one class is set, for example, in increments of 0.5 ° C., and 24.0 degrees or more and less than 24.5 degrees is defined as one class.

In addition to the method for evaluating comfort using the room temperature and the room humidity as described above, a Predicted Mean Vote (PMV), a Predicted Percentage of Dissatisfied (PPD), a standard Effective temperature (SET ^* ; Standard Effective Temperature), discomfort index (DI), etc. can be utilized.

  As a result of the determination, if it is unpleasant (yes), the inference unit 217 executes the process S41. If it is comfortable (not present), the inference part 217 executes the process S33.

  In the process S41, the instruction guide unit 218 is used to display a message indicating that the comfort of the building is lowered on the display device, and set a comfort flag that is a flag indicating whether it is comfortable or uncomfortable. Then, process S33 is executed. For example, if the comfort flag is defined as “0” when comfortable and the comfort flag is defined as “1” when uncomfortable, the comfort flag is “1” at step S42. Set to

  In process S33, the inference unit 217 uses the instruction guide unit 218 to analyze the indoor air quality (IAQ; Indoor Air Quality; in this specification, the degree of contamination by indoor air pollutants). A building air quality evaluation screen displaying the actual value, reference value and analysis result of the air quality is displayed on the display device. Air quality is an air component composition that a resident feels comfortable.

  Next, the inference unit 217 determines the air quality (S34). More specifically, in this embodiment, since a human lives by breathing oxygen, a frequency distribution of the carbon dioxide concentration is created based on the actual value in order to determine the air quality based on the carbon dioxide concentration, and the building model The sum of the frequencies of each class at or above the reference value calculated from (referred to as “sum above the reference value Sumc”) and the sum of the frequencies of the entire class (referred to as “total sum Sum”) are calculated. The percentage of the sum Sum above the reference value in the total sum Sum is calculated, and when the calculated percentage is equal to or greater than the threshold, it is determined that the air quality is lowered, and when it is less than the threshold, the air quality is determined to be good. In this embodiment, the carbon dioxide concentration is used as an index. However, dust concentration, VOC concentration, NOx concentration, SOx concentration, and the like may be used as an index.

  As a result of the determination, if there is a decrease (is present), the inference unit 217 executes the process S43, and if it is not good (not), the inference unit 217 executes the process S35.

  In the process S43, the instruction guiding unit 218 is used to display a message indicating that the air quality of the building is lowered on the display device, and set an air quality flag that is a flag indicating whether the air quality is good or low. Then, process S35 is executed. For example, if the air quality flag is defined as “0” when it is good and the air quality flag is defined as “1” when it is low, the air quality flag is “1” in process S44. Set to

  In process S35, the inference unit 217 determines whether there is a problem with comfort and air quality, that is, whether the comfort flag or the air quality flag is set to “1”.

  As a result of the determination, when the comfort flag and the air quality flag are set to “0” (no flag is set), the inference unit 217 uses the instruction guide unit 218. A message indicating that the building environment of the living space is in a normal state is displayed on the display device (S36).

  On the other hand, as a result of the determination, when the comfort flag or the air quality flag is set to “1” (there is a flag (the flag is set)), the inference unit 217 causes the instruction guide unit 218 to The message indicating that the living space is abnormal is displayed on the display device according to the flag set to “1”. That is, when the comfort flag is “1”, the inference unit 217 uses the instruction guide unit 218 to display a message indicating that there is an abnormality in the comfort in the living space on the display device, and the air quality flag. When “1” is “1”, the inference unit 217 uses the instruction guide unit 218 to display a message indicating that the air quality in the living space is abnormal on the display device. Of course, if both flags are “1”, a message indicating that both are abnormal is displayed on the display device (S45).

  For example, when the operator selects the “energy by use” button 311 on the analysis item selection screen 301 shown in FIG. 4, the processing device S11 and the processing device S14 are executed. The application-specific energy management screen 302 shown in FIG. 5 is displayed. Then, if it is determined in the process S15 that there is a use exceeding the reference value in the energy for each use, and if it is determined in the process S16 that the use above the reference value is other than the heat source / water conveyance, the process S17 is executed. Thus, for example, the specific-use / floor energy management screen 305 shown in FIG. 8A is displayed on the output unit 23 of the analyzer 11.

  In FIG. 8A, the specific use / floor energy management screen 305 includes a title display area 351, an analysis range instruction area 352, and an analysis area 353.

  The analysis range instruction area 352 includes an analysis period input unit 3521, an analysis period unit input unit 3522, a “change” button 3523, a calendar unit 3524, a “screen snap” button 3525, and a “report creation” button 3526. It is prepared for. The analysis area 353 is configured to include an analysis display unit 3531. The analysis display unit 3531 displays, in a tabular form, usage results, reference values, and analysis results in which energy is grouped in the heat source. ), The analysis display unit 3531 includes an energy item field 3531-a, a quantity field 3531-b, a time field 3531-c, an operation efficiency field 3531-d, and an energy saving target. And an analysis table in which records are created for each floor. The quantity field 3531-b further includes an analysis result display column 3431-b1 and a numerical value display column 3431-b2, and the time field 3531-c further includes an analysis result display column 3531-c1. The operation efficiency field 3531-d further includes an analysis result display field 3531-d1 and a numerical value display field 3531-d2.

  These title display areas 351, except that the floor name is displayed in the energy item field 3531-a, the time field 3531c and the operation efficiency field 3531-d are configured to include an analysis result display field and a numerical value display field. Analysis range instruction area 352, analysis area 353, analysis period input part 3521, analysis period unit input part 3522, "change" button 3523, calendar part 3524, "screen snap" button 3525, "report creation" button 3526, analysis display part 3531, energy item field 3531-a, quantity field 3531-b, time field 3531-c, operation efficiency field 3531-d, and energy saving target field 3531-e are a title display area 321 and analysis range instruction shown in FIG. Area 322, analysis area 3 3, analysis period input unit 3221, analysis period unit input unit 3222, “change” button 3223, calendar unit 3224, “screen snap” button 3225, “report creation” button 3226, analysis display unit 3231, energy item field 3231-a , The quantity field 3231-b, the time field 3231-c, the operation efficiency field 3231-d, and the energy saving target field 3231-e are the same, and the description thereof is omitted.

  Further, when it is determined in process S18 that there is a floor that is equal to or higher than the reference value in the specific use / floor energy, the device-specific energy management screen is displayed on the display device of the analyzer 11 in process S25, and the device-specific energy is displayed in process S26. If it is determined that there is a device exceeding the reference value in step S27, the cause identification is completed in step S27, a message for prompting the operator to execute the device-specific analysis scenario is displayed on the display device, and the processing is terminated.

  In this way, the energy management reasoning program has an analysis item selection screen 301, a use-specific energy management screen 302, an element-specific energy management screen 303 that guides the cause to the cause of the management target not being reached, in the middle of the processing procedure for inferring the cause. Since the guide screens such as the energy management screen 304 by floor, the energy management screen by specific floor / use, and the energy management screen 305 by specific use / floor are displayed, the operator can refer to the guide screen by referring to the guide screen. In the processing procedure, it is possible to recognize an intermediate result of the analysis and possible options in the next analysis, and the analysis can easily proceed.

  Here, in the specific use / floor energy management screen 305 shown in FIG. 8 (A), when the operator operates the button of the analysis result display field 3531-b1 in the record of any floor, FIG. 8 (B). As shown, a graph screen 306 that displays a graph corresponding to the operated item is displayed on the output unit 23 of the analyzer 11. The graph shown in FIG. 8B is a line graph representing the amount of heat consumed for each day of the week, the horizontal axis is the time axis for each day, and the vertical axis is the heat amount axis in MJ (megajoule) units. In addition, not only the actual heat consumption (dashed line) but also the target (solid line) is displayed so that the target (energy saving target) and actual can be compared. Since the graph is displayed in this way, the operator can view the trend of the operated item, the degree of deviation between the usage record and the reference value, and, if there is an abnormality, the numerical value of the abnormal part, etc. Can be easily grasped.

  Although various forms of the graph can be considered according to the attribute of the analysis target, FIGS. 9 and 10 show other examples.

  FIG. 9 (A) is a pattern-divided bar graph showing energy consumption by element for each day of the week. The horizontal axis is the day of the week from Monday (Sun) to Saturday (Sat), and the vertical axis is the energy consumption. In each bar graph, the patterns are displayed by element. In addition, instead of distinguishing elements based on the difference in patterns, the elements may be distinguished by color-coded display, gradation-based display, or the like. FIG. 9B is a pattern-divided bar graph showing energy consumption by day of the week for each element. The horizontal axis represents elements of electricity, gas, oil, and heavy oil, and the vertical axis represents energy consumption. In each bar graph, patterns are displayed according to the day of the week. FIG. 9C is a bar graph showing the energy saving achievement rate for each element. The horizontal axis represents elements of electricity, gas, oil, and heavy oil, and the vertical axis represents the percentage of the difference in energy saving target value obtained by subtracting the energy saving target value from the actual energy consumption.

  FIG. 10A is a pattern bar chart showing energy consumption by use. The horizontal axis is a heat source, water conveyance, air conveyance, lighting, OA outlet and other uses, and the vertical axis is energy consumption. FIG. 10B is a pattern bar chart showing energy consumption by floor. The horizontal axis is the floor from the first floor to the tenth floor, and the vertical axis is the energy consumption. FIG. 10C is a pattern bar chart showing energy consumption by use of a specific floor (for example, the first floor). The horizontal axis is the first floor heat source, the first floor water transport, the first floor air transport, the first floor lighting, the first floor OA outlet and the first floor and other uses, and the vertical axis is the energy consumption. FIG. 10D is a pattern-divided bar graph showing energy consumption by floor for a specific application (for example, an air conditioner). The horizontal axis is the floor from the first floor of air conveyance to the tenth floor of air conveyance, and the vertical axis is energy consumption. FIG. 10E is a pattern bar chart showing energy consumption by device (specific use / specific floor). The horizontal axis represents the air conditioners of the first floor NE of the air conditioner, the first floor SE of the air conditioner, the first floor NW of the air conditioner, and the first floor SW of the air conditioner, and the vertical axis represents the energy consumption. In addition, NE is northeast, SE is southeast, NW is northwest, and SW is southwest, and each air conditioner is identified by the direction. And in each figure of FIG. 10, a pattern is displayed according to a day of the week in each bar graph.

  As described above, this energy management reasoning program is based on the knowledge of energy management, from the analysis of major classifications by use, element, and floor to the middle classification by use and floor in the major classification. In the middle classification, the analysis is performed in a systematic manner to the analysis of the minor classification for the minor classification for each device. In particular, for example, as in process S16, knowledge of energy management is reflected in the procedure for proceeding with the analysis.

  And in this embodiment, when performing energy management, the above-mentioned energy management reasoning program is prepared in advance from the viewpoint of energy saving. Therefore, an operator, especially an operator who is not good at analysis, easily from the viewpoint of energy saving. Analyze energy management. In addition, since the energy management program of the present embodiment displays various guidance screens in the middle of the analysis process, the operator sequentially determines whether the management target has been reached or has not been reached while being guided to the guidance screen. If so, the cause can be inferred. In particular, even an operator who is not good at analysis can appropriately perform the analysis.

  In addition, the reference value based on the building model is used for the analysis, and the data filtered based on the schedule of the schedule storage unit 262 by the analysis data filtering unit 212 can be used. The cause can be reasoned appropriately without being affected by the difference.

  In the above-described embodiment, the case where the analysis is performed from the viewpoint of energy saving or the comfort has been described. However, the facilities to be managed or the combination thereof is not limited to this. In addition to those managed as a single unit, there is also a “cold heat source facility” for managing a refrigerator and its auxiliary pumps and cooling towers as a heat source. Machines, boilers, and pumps may be managed collectively as “heat storage equipment”. In addition, the inference processing procedure varies depending on the facilities to be managed and the purpose of management.

  For example, analyze the actual usage of energy consumption for facilities such as cold heat source equipment, water transport equipment, air conditioners, lighting equipment, hot water boilers, steam boilers, heat storage equipment, etc., based on the reference values calculated in the building model step by step Thus, when there is a problem such as inefficient operation or failure in the equipment, there is an inference process in equipment management that identifies the equipment and / or cause of the problem.

  Here, in the case where the facility is a lighting fixture (inference processing for lighting fixture management), the illumination device power consumption, the illuminance and the operating time, which are factors that govern the lighting fixture power consumption, are measured, and the analyzer 11 performs lighting. Perform instrument management and analysis.

  When the facility is a cold source facility consisting of a combination of a refrigerator and ancillary facilities for generating cold heat (inference processing for cold source facility management), it controls the power consumption of the cold source facility and the operating state of the cold source facility The physical quantity that is a factor is measured, and the analyzer 11 manages and analyzes the cold heat source equipment. In addition, the physical quantity in the inference processing of the cold heat source equipment management is, for example, in the cold heat source equipment by the electric refrigerator, the refrigerator power (including auxiliary equipment), the primary pump power, the cooling tower power, the cooling tower cooling water temperature, and Humidity, cooling water return temperature, cooling water pump power, cold water return temperature, cold water return temperature, and cold water flow rate.

  When the facility is a heat storage facility (inference processing for heat storage facility management), the physical quantity that is a factor governing the power consumption, gas consumption, and the operation state of the heat storage facility is measured, and the analyzer 11 stores the heat storage facility. A case where management and analysis of the above are performed will be described. The physical quantities in the inference process of the heat storage facility management are, for example, the temperature in the heat storage tank, the operation time of the pump, the pump power, the cold water / hot water inlet temperature, the cold water / hot water outlet temperature, and the cold water / hot water flow rate. In addition, heat storage equipment does not consume energy directly, but it uses heat from the refrigerator or boiler that consumes energy and consumes the heat stored for building loads, meaning that it consumes energy indirectly. It is included in the equipment in this specification.

  When the facility is a water transport facility (inference processing for water transport facility management), the physical quantity that is a factor governing the power consumption and the operation state of the water transport facility is measured, and the analyzer 11 manages and analyzes the water transport. I do. The physical quantities in the inference processing of this water transport facility management are, for example, secondary pump power, water supply temperature, water return temperature, flow rate, water supply pressure, water return pressure, and control point pressure.

  When the facility is an air conditioner (inference process for air conditioner management), the physical quantity that is a factor governing the power consumption and the operating state of the air conditioner is measured, and the analysis device 11 manages and analyzes the air conditioner. The physical quantities in the inference processing of this air conditioner management are blower power, room temperature, room humidity, supply air temperature, supply air humidity, intake outside air temperature, intake outside air humidity, supply air volume, outside air volume, cold water return temperature, hot water Return temperature and cold / hot water flow rate.

  If the equipment is a hot water boiler (inference processing for hot water boiler management), measure and analyze the power consumption, fuel consumption of kerosene consumption and gas consumption, and physical quantities that are factors that govern the operating state of the hot water boiler. The apparatus 11 manages and analyzes the hot water boiler. The physical quantities in the inference process of the hot water boiler management are the hot water boiler body power, pump power, hot water feed temperature, hot water return temperature, make-up water temperature, hot water flow rate, and make-up water flow rate.

  When the equipment is a steam boiler (inference processing for steam boiler management), measure and analyze the power consumption, the fuel consumption of kerosene consumption and gas consumption, and the physical quantities that control the operating condition of the steam boiler. The apparatus 11 manages and analyzes the steam boiler. Physical quantities in the inference process of this steam boiler management are steam boiler body power, pump power, steam pressure, makeup water temperature, and makeup water flow rate.

  Further, in the above-described embodiment, the guidance screen at the processing stage is displayed at a predetermined processing stage. However, when the analysis start is instructed, the analysis process is executed, and finally a sentence that points out the problem or An analysis result screen such as a graph may be displayed. This configuration is useful when you are used to analysis or want to see only the analysis results.

  In the above-described embodiment, the analysis device 11 collects data from the remote data collection device 16 via the communication network 13. However, the analysis device 11 is installed in the building 12 and directly collects data from the remote data collection device 16. May be.

It is a figure which shows the structure of the data analysis system which concerns on embodiment. It is a block diagram which shows the structure of the analyzer of building equipment management. It is a flowchart which shows the inference processing procedure in the case of energy management. It is a figure which shows an analysis item selection screen. It is a figure which shows the energy management screen classified by use. It is a figure which shows the energy management screen according to element. It is a figure which shows the energy management screen according to floor. It is a figure which shows the energy management screen and graph screen by specific use and floor. It is a figure which shows the other example of a graph screen. It is a figure which shows the other example of a graph screen.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Data analysis system 11 Building equipment management analyzer 12 Data collection subsystem 21 Central processing unit 22 Input unit 23 Output unit 26 Auxiliary storage unit 27 Communication interface 211 Analysis data collection processing unit 212 Analysis data filtering unit 213 Clock / calendar unit 214 Analysis data calculation processing unit 215 Reference generation unit 216 Discrimination unit 217 Inference unit 218 Instruction guidance unit 261 Analysis data storage unit 262 Schedule storage unit 263 Building model storage unit 264 Inference rule storage unit 301 Analysis item selection screen 302 Application-specific energy management screen 303 Energy management screen by element 304 Energy management screen by floor 305 Energy management screen by specific application / floor Energy management screen 306

Claims (9)

An information reception unit for receiving information necessary for managing the operating state of the equipment arranged in the building;
An inference processing procedure storage unit for preliminarily storing an inference processing procedure for inferring the cause of the management target not being reached when the operation state of the facility does not reach the management target;
An inference unit for analyzing the information received by the information receiving unit according to the inference processing procedure and inferring the cause;
And an output unit that outputs an inference result of the inference unit. The building management analysis apparatus according to claim 1, wherein the management target is at least one of energy consumption and resource consumption consumed by the facility. The building facility management analysis apparatus according to claim 1, wherein the management target is comfort of a living space realized by operation of the facility. The information receiving unit is configured to receive the information from a remote data collection device via a communication network;
The remote data collection device monitors a plurality of facilities to monitor operation state information related to an operation state and environment of the building and collect environment state information related to the environment state as the information. The building equipment management analyzer according to any one of claims 1 to 3. A building model storage unit that stores a building model represented by an arithmetic expression indicating a relationship between an operation state of the facility and a factor that governs the operation state among the types of information;
A reference generator for calculating a reference value of the management target based on the building model;
The building according to any one of claims 1 to 4, wherein the inference processing procedure infers a cause by judging information received by the information receiving unit based on the reference value. Equipment management analyzer. 6. The building equipment management according to claim 5, wherein the building model is a mathematical model obtained by a statistical method based on the past information, and is updated at predetermined time intervals. Analysis equipment. The inference unit infers the cause according to the inference processing procedure after collecting all the information received by the information receiving unit,
The management target is at least one of energy consumption and resource consumption consumed by the facility,
The inference processing procedure includes the types of energy and / or the types of resources, the types of facilities that consume the energy and / or the types of facilities that consume the resources, and the facilities that consume the energy. The building facility management according to claim 5 or 6, wherein at least two items are selected from among the floors in which the facilities are disposed and / or the floors in which the facilities that consume the resources are disposed. Analysis equipment. A schedule storage unit for storing a schedule indicating a correspondence relationship between the operation mode of the facility and / or the operation mode of the building and the date;
A filtering unit that extracts information related to the date according to the management target from the information received by the information receiving unit based on the schedule;
The said inference part analyzes using the information extracted by the said filtering part. The building equipment management analysis apparatus of any one of Claim 1 thru | or 7 characterized by these. The output unit is a display device,
9. The building equipment management according to claim 1, wherein the inference processing procedure can display a guidance screen for inducing the cause on the display device in the middle of the procedure. Analysis equipment.

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