Abstract: A management device includes: an acquisition unit that acquires operating history data for an equipment device in a prescribed time period; and a classification processing unit that classifies, based on the operating history data acquired by the acquisition unit, an operating pattern of the equipment device in the prescribed time period.

Abstract: An energy conservation assistance apparatus includes an event occurrence time extraction unit, a degree of change calculation unit, and a display control unit. The event occurrence time extraction unit refers to facility operation history information included in a reference period and a designated period to extract occurrence times at which a predetermined event has occurred in each of the reference period and the period of interest. The degree of change calculation unit calculates a degree of change in an operation pattern of a facility obtained from a distribution of the occurrence times at which the predetermined event has occurred in the period of interest, relative to an operation pattern of the facility obtained from a distribution of the occurrence times at which the predetermined event has occurred in the reference period. The display control unit presents information regarding a degree of change to a user.

Abstract: A power consumption estimation device (10) which estimates power consumption of each of one object facility (100) or more whose operation statuses can be monitored includes: a total power vector generation unit (32) to acquire time-series data of total power consumption; a status matrix generation unit (34) to acquire time-series data of an operation parameter of the one object facility (100) or more; a reference signal generation unit (36) to generate one reference signal or more; a contribution degree estimation unit (38) to perform multiple regression analysis by taking the total power consumption as an objective variable, and the operation parameter of the one object facility (100) or more and a component value of the one reference signal or more, as explanatory variables, to thereby calculate a contribution degree of each of the one object facility (100) or more; and a breakdown calculation unit (42) to multiply the contribution degree of the object facility (100) and the operation parameter of the objec

Abstract: An installing environment estimation device (10) includes: a data acquisition unit (11) to acquire data collected by an apparatus such as a sensor and camera of a mobile terminal carried by a maintenance personnel member to a building site, the data concerning an installation place of equipment which is installed at the building site; a feature quantity extraction unit (12) to extract a feature quantity of the acquired data; and an installing environment estimation unit (13) to estimate an installing environment of the equipment based on a classification model, by collating the feature quantity of the data with the classification model. The classification model is set for an item of the feature quantity of an individual apparatus. A range that the feature quantity which expresses an installing environment of equipment can have is set in the classification model.

Abstract: An apparatus control unit (54) executes baseline judgment control of canceling power consumption limitation for a management target apparatus (20) throughout a predetermined judgement period within a demand term. A demand control execution judgment unit (48) judges whether or not a value of a baseline BL, which is an estimated value based on an integrated value of power consumption per building in the judgment period, exceeds a demand control execution value P_Dmd by a demand-term end point. When it is judged that the value of the baseline BL exceeds the demand control execution value P_Dmd by the demand-term end point, the apparatus control unit (54) executes demand control of limiting power consumption of the management target apparatus (20), after the judgment period.

Abstract: A monitoring system (10) includes an operation record information storage unit (21) to accumulate operation record information about an operating state of equipment (2) collected by an operation record information collection unit (11); an operation model generation unit (12) to generate, for each piece of the equipment, an operation model indicating an operating state of each piece of the equipment (2) based on the operation record information; and an equipment selection processing unit (13) to cause a user interface unit (14) to display operation models, and select the equipment (2) corresponding to an operation model selected by an administrator from the displayed operation models, as control target equipment to be a target of demand control.

Abstract: A power consumption estimation device (10) which estimates power consumption of each of one object facility (100) or more whose operation statuses can be monitored includes: a total power vector generation unit (32) to acquire time-series data of total power consumption; a status matrix generation unit (34) to acquire time-series data of an operation parameter of the one object facility (100) or more; a reference signal generation unit (36) to generate one reference signal or more; a contribution degree estimation unit (38) to perform multiple regression analysis by taking the total power consumption as an objective variable, and the operation parameter of the one object facility (100) or more and a component value of the one reference signal or more, as explanatory variables, to thereby calculate a contribution degree of each of the one object facility (100) or more; and a breakdown calculation unit (42) to multiply the contribution degree of the object facility (100) and the operation parameter of the objec

Abstract: A control method analysis unit acquires a correspondence relation between signs and model numbers from an apparatus table of an instrumentation diagram, and acquires signs and apparatus symbols, and connection relation among apparatuses, from a drawing of the instrumentation diagram. Subsequently, the control method analysis unit acquires an apparatus classification drawn on the diagram by searching an instrumentation apparatus classification database based on the model numbers, and decides a temperature control method employed by an instrumentation indicated in the instrumentation diagram, from the apparatus classification and the connection relation. The control method analysis unit then links the decided temperature control method to the instrumentation diagram accumulated in a case database. A search processing unit extracts a corresponding instrumentation diagram by searching the case database based on a temperature control method designated as a search condition.

Abstract: A facility management local server is provided with a proxy work management unit that is communicatively coupled to a proxy management center server. If an error code is output while maintenance work that results in a change in a set value stored in a set value storage unit is being performed in a building to be maintained, the proxy work management unit allows proxy maintenance work to be performed via remote control from a maintenance worker terminal device that is communicatively coupled to the center server. Further, the proxy work management unit can display, on display units provided in the building to be maintained, a proxy request screen including an error code input field and an input field for receiving an input of the content of the maintenance work that was being performed in the building to be maintained when the error code was output.

Abstract: A control method analysis unit acquires a correspondence relation between signs and model numbers from an apparatus table of an instrumentation diagram, and acquires signs and apparatus symbols, and connection relation among apparatuses, from a drawing of the instrumentation diagram. Subsequently, the control method analysis unit acquires an apparatus classification drawn on the diagram by searching an instrumentation apparatus classification database based on the model numbers, and decides a temperature control method employed by an instrumentation indicated in the instrumentation diagram, from the apparatus classification and the connection relation. The control method analysis unit then links the decided temperature control method to the instrumentation diagram accumulated in a case database. A search processing unit extracts a corresponding instrumentation diagram by searching the case database based on a temperature control method designated as a search condition.

Abstract: There is provided air-conditioning control in a low power operation so as not to exceed a target demand power amount in a predetermined measurement period while preventing deterioration of comfortableness of a living space.

Abstract: An air conditioner control system comprises air conditioners configured to condition an environment in a target space, an integrated controller configured to control the air conditioners based on control parameter data, sensor devices configured to measure the temperature of the target space and transmit measurement data, and wireless master devices configured to create control parameter data based on the measurement data. The wireless master devices each determine sleep times so that at least two sensor devices run out of battery charge around the same time according to the remaining charge amount of each of the sensor devices. The sensor devices each will be in the sleep mode in which power consumption is lower than in the normal mode according to the sleep time decided by the wireless master devices.

Abstract: There is provided air-conditioning control in a low power operation so as not to exceed a target demand power amount in a predetermined measurement period while preventing deterioration of comfortableness of a living space.

Abstract: An air conditioner control system comprises air conditioners configured to condition an environment in a target space, an integrated controller configured to control the air conditioners based on control parameter data, sensor devices configured to measure the temperature of the target space and transmit measurement data, and wireless master devices configured to create control parameter data based on the measurement data. The wireless master devices each determine sleep times so that at least two sensor devices run out of battery charge around the same time according to the remaining charge amount of each of the sensor devices. The sensor devices each will be in the sleep mode in which power consumption is lower than in the normal mode according to the sleep time decided by the wireless master devices.