JP5416668B2 - Monitoring system and monitoring method - Google Patents

Description

  The present invention relates to a monitoring system and a monitoring method for measuring power consumption data of facility equipment with a measuring device, and recording and analyzing the data with a data recording / analyzing computer connected via a transmission line. It is.

  As a conventional energy management system, Patent Document 1 discloses a management support system that supports the management of the use of electricity used by a consumer, stores a predetermined electricity usage state, and uses the consumer. The database server that sequentially stores the amount of electricity used by the server, the electricity usage stored in the database server, and the usage status stored in the database server are compared, and the comparison result is used as usage status information. As a customer. However, it merely provides the customer with the usage status and does not encourage the customer to take energy saving measures.

  Further, in Patent Document 2, the current power usage status is grasped in real time through a network from a power meter installed on each floor, and a graph that can simultaneously compare a plurality of floors based on the information is created. In addition to capturing floors that use a large amount of power, and when those values exceed a certain threshold set for each floor, the administrator can immediately notify and contact the administrator so that the administrator has no time delay. It is configured to encourage power saving.

JP 2009-211141 A Japanese Patent Laying-Open No. 2005-312142

  However, the system described in Patent Document 1 simply provides the usage status to the consumer, and does not prompt the customer for energy saving measures. The system described in Patent Document 2 is configured to promote power saving, but it is power saving by stopping operation of equipment and the like, and if this is used as an energy saving measure in the production facility, it affects the operation rate of production and cannot be applied. . In addition, the system of Patent Document 2 cannot cope with a case where the cause of the increase in consumption is complicated, and cannot take effective energy saving measures. In addition, the management of facility equipment requires updating to a facility with low power consumption or changing to an efficient operation in order to achieve energy savings, and it is also necessary to update a deteriorated facility to operate safely. However, these are not considered.

  In order to solve the above conventional problems, an object of the present invention is to provide a monitoring system and a monitoring method for providing information for facility management to each facility device from the viewpoint of energy saving and maintenance.

To achieve the above object, the present invention provides a monitoring system comprising a measuring device for measuring the amount of electric power of each facility device, and a data recording / analyzing computer connected to the measuring device via a transmission line.
The data recording / analyzing computer includes a setting means for setting an upper limit value and various target values of power, a memory means for storing the measured power amount, and a unit power for calculating a unit power from the measured power amount A calculation means, a prediction value calculation means for calculating a predicted value of unit power from the past consumption record, a consumption trend calculation means for calculating a rate of increase or decrease in unit power or a year-on-year rate from the past consumption record, and the calculated unit power And an excess determination means for determining an excess state by comparing the predicted value of unit power with the above upper limit value, and an achievement state determination means for determining an achievement state by comparing an increase / decrease rate or a year-on-year rate with a target value. Features.

  In the monitoring system described above, the unit power calculation unit calculates average power as unit power, the prediction value calculation unit calculates a predicted value of average power, and the consumption tendency calculation unit calculates increase / decrease in average power. The excess determination means determines the excess state by comparing the average power and the predicted value of the average power with the upper limit value, and the achievement state determination means achieves the increase / decrease rate of the average power by comparing with the target value. The state is judged.

  In the monitoring system described above, the unit power calculating unit calculates a basic unit power as unit power, the predicted value calculating unit calculates a predicted value of the basic unit power, and the consumption tendency calculating unit is a basic unit. Calculate the year-on-year rate of power, the excess determination means compares the basic unit power and the predicted value of the basic unit power with the upper limit value to determine an excess state, and the achievement state determination unit targets the year-on-year rate of the basic unit power. The achievement state is judged by comparing with the value.

In the monitoring system described above, the setting unit is configured to input and set a lower limit value of power and an equipment capacity, and the unit power calculation unit calculates average power and calculates average power for a maximum of 30 minutes. Configured to
The computer for data recording / analysis is further calculated with a demand rate calculating means for calculating a demand rate from the average power and facility capacity for a maximum of 30 minutes, and a load factor calculating means for calculating a load factor from the average power for a maximum of 30 minutes. The present invention is characterized by comprising a reduced state judging means for judging a lowered state by comparing the demand rate and the load factor with the lower limit value of the electric power.

Further, in the monitoring system described above, the measuring device is configured to measure a leakage current of each facility device, and the setting unit is configured to input and set an upper limit value of the leakage current,
The data recording / analyzing computer further includes a maximum leakage current calculating means for calculating a maximum leakage current, a leakage current prediction value calculating means for calculating a leakage current prediction value, and the calculated maximum leakage current and leakage current prediction value. Leakage current excess determining means for determining an excess state in comparison with the upper limit value is provided.

Moreover, in the monitoring system described above, the setting means is further configured to input and set a previous inspection date, an inspection guide period, an introduction date, and an update guide period,
The data recording / analyzing computer further includes a first maintenance guideline judgment means for judging a maintenance guideline by comparing a judgment date + n day with a previous check date + inspection guide period, a judgment date + n day, an introduction date + A second maintenance guideline judging means for judging a maintenance guideline by comparing with an update guideline period is provided.

  In the monitoring system described above, the data recording / analysis computer includes a display that displays a list of determination results based on the determination of each determination unit, and sets the display order for each item to be monitored. It is characterized in that it is selected and displayed from the order of priority classification, date of occurrence, and order of equipment.

To achieve the above object, the present invention provides a monitoring method for monitoring the power of each facility device by a data recording / analysis computer connected via a transmission line to a plurality of measuring devices that measure the amount of power of each facility device. In
The data recording / analysis computer is preset with an upper limit value of power and various target values, stores the measured power amount of each equipment device, calculates unit power from the measured power amount,
Calculate the predicted value of unit power from the past consumption record, calculate the unit power increase / decrease rate or year-on-year rate from the past consumption record, and set the calculated unit power and unit power predicted value to the preset upper limit value. An excess state is determined by comparison, and an achievement state is determined by comparing an increase / decrease rate or a year-on-year ratio with a preset target value.

Moreover, in the monitoring method described above, the data recording / analysis computer includes:
An average power is calculated as the unit power, a predicted value of average power is calculated as the predicted value,
Calculate the rate of increase / decrease from past consumption results, compare the average power and the predicted value of average power with the upper limit value to determine the excess state, and compare the average power increase / decrease rate with the target value to determine the achievement status It is characterized by.

Moreover, in the monitoring method described above, the data recording / analysis computer includes:
Calculate the basic power as the unit power, calculate the predicted value of the basic power as the predicted value,
Calculate the year-on-year rate of basic unit power from past consumption results, compare the basic unit power and the predicted value of basic unit power with the upper limit value, determine the excess state, and compare the year-on-year rate of basic unit power with the target value. It is characterized by judging the achievement state.

Moreover, in the monitoring method described above, the data recording / analysis computer includes:
Lower limit value of power and facility capacity are preset, average power is calculated as average power for a maximum of 30 minutes, demand rate is calculated from average power and facility capacity for a maximum of 30 minutes, and load factor is calculated from the average power for a maximum of 30 minutes. The calculated demand rate and load factor are compared with the lower limit value of the power to determine a lowered state.

Moreover, in the monitoring method described above, the measurement device measures a leakage current of each facility device,
The data recording / analysis computer includes:
The upper limit of the leakage current is set in advance, the maximum leakage current is calculated from the measured leakage current,
A leakage current prediction value is calculated from the measured leakage current, and an excess state is determined by comparing the calculated maximum leakage current and the leakage current prediction value with an upper limit value.

In the monitoring method described above, the data recording / analysis computer further includes:
The maintenance date is judged by comparing the judgment date + n days with the previous inspection date + inspection guide period, and the maintenance guide is judged by comparing the judgment date + n days with the introduction date + update guide period. To do.

  Further, in the monitoring method described above, the data recording / analyzing computer displays a list of determination results based on the determinations of the respective determination means, and the display order is the order of priority of the monitoring target in descending order. They are displayed in the order selected from the order of occurrence and the order of equipment.

  ADVANTAGE OF THE INVENTION According to this invention, an equipment apparatus can be effectively monitored from a viewpoint of an energy saving and a maintenance viewpoint by analyzing the energy usage condition of an equipment apparatus from many aspects.

1 is a system configuration diagram of an embodiment of the present invention. It is an operation | movement flowchart of 1st Example of this invention. It is explanatory drawing of the management table of 1st Example of this invention. It is an operation | movement flowchart of 2nd Example of this invention. It is explanatory drawing of the management table of 2nd Example of this invention. It is an operation | movement flowchart of 3rd Example of this invention. It is explanatory drawing of the management table of 3rd Example of this invention. It is an operation | movement flowchart of 4th Example of this invention. It is explanatory drawing of the management table of 4th Example of this invention. It is an operation | movement flowchart of 5th Example of this invention. It is explanatory drawing of the management table of 5th Example of this invention.

  Embodiments of the present invention will be described below with reference to the drawings. FIG. 1 is a system configuration diagram applied to each embodiment of the present invention.

  In FIG. 1, 1 is a data recording / analysis computer, 2 is a transmission line, 3 (3a to 3n) is a measuring device, 4 (4a to 4n) is a manufacturing facility including a plurality of motors arranged in a factory or the like. It is equipment and corresponds to each of the measuring devices 3. Each said equipment 4 is connected to the said computer 1 via the corresponding measuring device 3 and the transmission line 2, and the said computer 1 collects and records the data of each equipment 4 via each measuring device 3. . The data is the power consumption (kWh) and leakage current (mA) of each facility device.

  The computer 1 sets an upper limit value, a lower limit value, various target values, an equipment capacity, an upper limit value of leakage current, and the like for each equipment device 4 in advance, and the measured power quantity. From the memory means 12 for storing, the unit power calculation means 14 for calculating the unit power from the measured power amount, the predicted value calculation means 15 for calculating the predicted value of the unit power from the past consumption record, and the past consumption record Consumption trend calculating means 16 for calculating the rate of increase or decrease in unit power or year-on-year comparison; excess determination means 17 for determining the excess state by comparing the calculated unit power and the predicted value of unit power with the upper limit value; and the rate of change Or the achievement state judgment means 18 which compares the previous year with a target value and judges an achievement state is provided.

  The computer 1 also includes a demand rate calculating means 19 for calculating a demand rate, a load factor calculating means 20 for calculating a load factor, and a reduced state in which the calculated demand rate and load factor are compared with the lower limit value of the power. Declining state determining means 21, maximum leakage current calculating means 22, leak current predicted value calculating means 23, leakage current excess determining means 24 for determining an excess state of leakage current, and a first indicator for determining a maintenance guideline. 1 and 2nd maintenance standard judgment means 25 and 26, and the display 11 which displays the judgment result of each judgment means in a list.

(First embodiment)
FIG. 2 is an operation flowchart of the first embodiment. 1 and 2, the upper limit value of the electric energy and the target value of the increase / decrease rate are set and stored for each facility device 4 in advance by the setting unit 13 using a keyboard (not shown).

  When the operation of the monitoring system is started, the power consumption (kWh) of each facility device 4 is measured by the measuring device 3. In the computer 1, the measured electric energy is calculated by calculating the total of 24 h (hours) the previous day as the daily electric energy, and calculating the total of 744 h (= 24 h × 31 days) as the electric energy of the past month, The total of 8760h (= 24h × 365 days) is calculated as the amount of power for the past year, and each calculated value is recorded in the memory means 12 (step (S) 101). The actual month or year may not be the fixed time (h), but here the total is calculated and stored as a fixed time for comparison purposes.

  Note that the memory unit 12 stores the average power for the past n years as a result of the past power consumption (a value of n = 1 or more can be set).

  Next, in the unit power calculation means 14, the average power per day (1) is calculated by dividing the power amount (kW) of each equipment device 4 stored in the above by 1 day (previous day) by 24 (h). (Unit power per hour) calculated by dividing the amount of power per month (for the past month) by 744 (h) as the average power (unit power per hour) for one month Divide the amount of power (for the past year) by 8760 (h) to calculate the average power (unit power per hour) for one year, and record each calculated average power (unit power per hour) (Step 102).

  Subsequently, the predicted value (kW) of the average power of each facility device 4 is calculated and recorded in the predicted value calculation means 15 using the recorded average power for the past n years (step 103). Specifically, it is calculated from the average power of the past year × (average power of the next month of the past n years / average power of the past n years). Here, the average power of the next month of the past n years is the average power of the same month of the past n years, and the average power of the past n years is the average power of one year of the past n years.

  Next, in the excess determination means 17, the average power (kW) of each equipment 4 calculated in step 102 and the upper limit value (kW) of each equipment set in the setting means 13 in advance are recorded. When the average power is larger than the upper limit value (step 104), the fact that the average power exceeds the upper limit value is recorded and checked as an energy saving object (an object that needs energy saving) (step 105). Further, in the excess determination means 17, the predicted value (kW) of the average power of each equipment device 4 calculated in step 103 is compared with the upper limit value (kW) of each equipment device set and recorded in advance. (Step 106) When the predicted value is larger than the upper limit value, the fact that the predicted value exceeds the upper limit value is recorded and checked as an energy saving target (Step 107). Each check is recorded in the excess determination means 17 as display information.

  Subsequently, the increase / decrease rate (%) of the average power of each facility device 4 is calculated and stored in the consumption trend calculation means 16 from the average power of the previous year as the consumption performance recorded in the memory means 12 (step) 108). Specifically, [(average power of this year-average power of the previous year) / average power of the previous year] × 100.

  Next, in the achievement status judging means 18, the increase / decrease rate (%) of each equipment device 4 calculated in step 108 is compared with the target value (%) of the increase / decrease rate of each equipment device set and recorded in advance. (Step 109) When the increase / decrease rate is smaller than the target value, the fact that the increase / decrease rate has not reached the target value is recorded and checked as an energy saving target (Step 110).

  FIG. 3 is an example of the management table of the first embodiment. The equipment devices A to C checked as energy saving targets by the process of the operation flowchart shown in FIG. 2 are displayed on the display 11 in the list of the management table shown in FIG. The display order can be selected and changed from the priority classification order, the date of occurrence, and the equipment order set for each item to be monitored. The management table shown in FIG. 3 is displayed in the order of priority categories set for each item to be monitored, and the relationship with the upper limit value of the average power of the equipment A and B is the highest priority category 01.

(Second embodiment)
A second embodiment of the present invention will be described with reference to FIGS. FIG. 4 is an operation flowchart of the second embodiment. When the operation of the monitoring system is started, the power consumption (kWh) of each facility device 4 is measured by the measuring device 3. The measured electric energy is calculated as the daily electric energy, the monthly electric energy, and the annual electric energy in the computer 1 as in step 101 of the first embodiment, and the calculated values are stored in the memory. It records on the means 12 (step 201).

  The memory unit 12 stores the basic unit power for the past n years as the past power consumption record (a value of n = 1 or more can be set). The basic unit power is power calculated by dividing the amount of power consumption by, for example, the production amount (per unit denominator), and is unit power per product.

  Next, in the unit power calculation means 14, the daily power amount (kW) of each facility device 4 stored above is divided by the daily basic unit denominator to obtain the daily basic unit power (one daily production). Unit power per thing), and calculate the monthly power amount by dividing the monthly basic unit denominator to calculate the basic unit power for one month. Divide the annual power amount by the basic unit denominator for one year. Then, each unit power calculated (unit power per product) is recorded (step 202). In addition, the basic unit denominator is input and recorded in advance in the setting means 13 for each facility device.

  Subsequently, the predicted value of the basic unit of each equipment 4 is calculated and recorded in the predicted value calculation means 15 using the recorded basic unit for the past n years (step 203). Specifically, it is calculated from the basic unit of one year × (basic unit of the next month of the past n years / basic unit of the past n years).

  Next, in the excess determination means 17, the basic unit of each equipment device 4 calculated in step 202 is compared with the upper limit value of the basic unit of each equipment device set and recorded in advance in the setting means 13 (step 204) When the basic unit is larger than the upper limit value, the fact that the basic unit has exceeded the upper limit value is recorded and checked as an energy saving target (step 205). Further, in the excess determination means 17, the predicted value of the basic unit of each equipment device 4 calculated in step 203 is compared with the upper limit value of each equipment device preset and recorded (step 206). When the unit predicted value is larger than the upper limit value, the fact that the basic unit predicted value exceeds the upper limit value is recorded and checked as an energy saving target (step 207).

  Subsequently, in the consumption trend calculation means 16, the year-on-year comparison (year-on-year comparison) (%) of the basic unit of each equipment 4 is used by using the previous year's basic unit as the actual consumption recorded in the memory means 12. Calculate and record (step 208). Specifically, it is calculated by (the basic unit of this year / the basic unit of the previous year) × 100.

  Next, in the achievement status judging means 18, the comparison with the previous year's comparison (%) of each equipment 4 calculated in step 208 and the target value (%) of the previous equipment's comparison with the previous fiscal year set and recorded. However, if the previous year ratio is larger than the target value, it is recorded that the previous year ratio has not reached the target value and checked as an energy saving target (step 210).

  FIG. 5 is an example of the management table of the second embodiment. By the processing of the flowchart shown in FIG. 4, the equipment A to C checked as energy saving targets are displayed in a list in the management table shown in FIG. The display order can be selected and changed from the priority classification order, the date of occurrence, and the equipment order set for each item to be monitored. The management table shown in FIG. 5 is displayed in the order of priority set for each item to be monitored, and the relationship between the basic unit power and the upper limit value of the equipment A and B is the highest priority priority category 01. What is targeted for energy saving is that the basic unit power is increased and the productivity is lowered, and the cause is investigated from the various check items.

(Third embodiment)
A third embodiment of the present invention will be described with reference to FIGS. FIG. 6 is an operation flowchart of the third embodiment. In the present embodiment, the facility capacity, the lower limit value of the demand rate, and the lower limit value of the load factor are preset in the setting means 13 for each facility device 4. In FIG. 6, when the operation of the monitoring system is started, the power consumption (kWh) of each facility device 4 is measured by the measuring device 3. The measured electric energy is calculated as the daily electric energy, the monthly electric energy, and the annual electric energy in the computer 1 as in step 101 of the first embodiment, and the calculated values are stored in the memory. It records in the means 12 (step 301).

  Next, as in step 102 of the first embodiment, the average power per hour (unit power per hour) is calculated for each facility device within the unit power calculation means 14 and averaged for one month. Power (unit power per hour) is calculated, average power for one year (unit power per hour) is calculated, and each calculated average power (unit power per hour) is recorded (step 302). ).

  Further, the unit power calculation means 14 calculates the total power amount of each equipment device 30 for 30 minutes as the power amount for 30 minutes, and the 30 minutes average power (kW) is calculated as 30 minutes power amount × 2 (average power) Represents the average power per hour) and records (step 303).

  Further, in the unit power calculation means 14, the maximum daily value of 30 minutes average power (kW) of each equipment 4 is calculated as the maximum daily 30 minutes average power (kW), and the maximum value for one month is calculated. It is calculated as a maximum 30-minute average power (kW) for one month, and a maximum value for one year is calculated and recorded as a maximum 30-minute average power (kW) for one year (step 304).

  Next, in the demand rate calculating means 19, the demand rate (%) of each equipment 4 is preset in the setting means 13 and recorded, and the average power calculated for 30 minutes at the maximum is used. And calculated from (maximum power for 30 minutes / equipment capacity) × 100 and recorded (step 305). The reduction rate determination means 21 compares the demand rate (%) of each equipment device 4 calculated in step 305 with the lower limit value (%) of the demand rate of each equipment device that is preset and recorded (step 306). If the demand rate is smaller than the lower limit value, it is recorded that the demand rate is decreasing and checked as an energy saving target (step 307).

  Next, the load factor (%) of each equipment 4 is calculated from (average power / maximum average power for 30 minutes) × 100 in the load factor calculating means 20 and recorded (step 308). The load factor (%) of each equipment device 4 calculated in step 308 is compared with the lower limit value (%) of the load factor of each equipment device that has been set and recorded in advance by the reduced state determination means 21 (step 309). ) If the load factor is smaller than the lower limit value, the fact that the load factor is decreasing is recorded and checked as an energy saving target (step 310).

  FIG. 7 is an example of the management table of the third embodiment. By the processing of the flowchart shown in FIG. 6, the equipment devices D and E checked as energy saving targets are displayed in a list in the management table shown in FIG. The display order can be selected and changed from the priority classification order, the date of occurrence, and the equipment order set for each item to be monitored. The management table shown in FIG. 7 is displayed in the order of priority set for each item to be monitored, and the relationship between the facility equipment D, E availability and the lower limit value is the highest priority priority group 01.

(Fourth embodiment)
A fourth embodiment of the present invention will be described with reference to FIGS. FIG. 8 is a flowchart of the fourth embodiment. In the present embodiment, the upper limit value of the leakage current, the previous inspection date, the number of days to spare, the inspection guide period, the installation date (update date) of the equipment and the update guide period are preset in the setting means 13 for each equipment device 4. Yes. In FIG. 8, the leakage current (mA) of each equipment device 4 is measured by the measuring device 3 and transmitted to the computer 1 via the transmission line 2. The maximum leakage current calculation means 22 calculates the maximum value of the day as the maximum leakage current of the day from the leakage current, calculates the maximum value of the month as the maximum leakage current of the month, and further calculates the maximum value of the year. The value is calculated as the maximum leakage current for one year and recorded respectively (step 401).

  Next, in the leakage current prediction value calculation means 23, the leakage current prediction value (mA) of each equipment device 4 is recorded using the maximum leakage current of the previous month recorded (maximum leakage current for one month + (this It is calculated and recorded from (maximum leakage current for one month-maximum leakage current of the previous month) (step 402).

  Next, the leakage current excess determining means 24 compares the maximum leakage current (mA) of each equipment device 4 calculated in step 401 with the preset upper limit value (mA) of each equipment device (mA) ( Step 403) When the maximum leakage current is larger than the upper limit value, the fact that the leakage current exceeds the upper limit value is recorded and checked as an inspection / update target (step 404). Further, the leakage current excess determining means 24 compares the predicted leakage current value (mA) of each equipment device 4 calculated in step 402 with the preset upper limit value (mA) of each equipment device. (Step 405) When the predicted leakage current value is larger than the upper limit value, the fact that the predicted leakage current value exceeds the upper limit value is recorded and checked as an inspection / update target (Step 406). In general, the deterioration rapidly proceeds and the leakage current increases with time, so that it can be effectively checked in advance by the predicted leakage current value.

  Next, the first maintenance guideline determination means 25 sets the number of spare days n days (today + n days) set and recorded in advance from the date (today) checked (determined) in steps 404 and 406, and “previous inspection” (Day + inspection guide period) (Step 407). If "Today + n days" is shorter than "Previous inspection date + Inspection guide period", record that the inspection date is near and check for inspection / update. (Step 408). In addition, the second maintenance guideline determination means 26 sets the number of days that have been preset and recorded from the date (today) checked (determined) in steps 404 and 406 (today + n days), and “introduction date + Compared with the “update guideline period” (step 409), and if “today + n days” is shorter than “introduction date + update guideline period”, record that the update date is near and check it for inspection / update (step) 410).

  FIG. 9 is an example of the management table of the fourth embodiment. By the processing of the flowchart shown in FIG. 8, the equipment devices F and G checked as inspection / update targets are displayed in a list in the management table shown in FIG. The display order can be selected and changed from the priority category order, the date of occurrence, and the equipment order set for each item. The management table shown in FIG. 9 is displayed in the order of priority set for each item to be monitored, and the relationship between the maximum leakage current and the upper limit value of the equipment devices F and G is the highest priority priority category 01.

(5th Example)
A fifth embodiment of the present invention will be described with reference to FIGS. FIG. 10 is a flowchart of the fifth embodiment. In FIG. 10, step 501 is processing for determining whether or not each equipment 4 is an energy saving target by the processing shown in the flowchart of FIG. 2 of the first embodiment. Step 502 is processing for determining whether or not each equipment device 4 is an energy saving target by the processing shown in the flowchart of FIG. 4 of the second embodiment. Step 503 is processing for determining whether or not each equipment is an energy saving target by the processing shown in the flowchart of FIG. 6 of the third embodiment. Step 504 is processing for determining whether or not each equipment device is an inspection / update target by the processing shown in the flowchart of FIG. 8 of the fourth embodiment.

  FIG. 11 is an example of the management table of the fifth embodiment. The equipment checked as the energy saving target and the inspection / update target by the processing of the flowchart shown in FIG. 10 is displayed in a list in the management table shown in FIG. The order of display can be selected and changed from the priority category order, occurrence date order, and equipment order set for each item. In the case of operating through the first to fourth embodiments, the relationship with the upper limit value of the average power of the equipment A and B is the highest priority priority category 01.

  Using the management table displayed as shown in Fig. 11, the energy usage status of the equipment is analyzed from multiple perspectives to check the energy saving / inspection / update status of each equipment / equipment. Because it is possible to respond in advance to security, the equipment can be effectively monitored.

  DESCRIPTION OF SYMBOLS 1 ... Data recording / analysis computer, 2 ... Transmission line, 3 (3a-3n) ... Measuring apparatus, 4 (4a-4n) ... Equipment, 11 ... Display, 12 ... Memory means, 13 ... Setting means, 14 ... Unit power calculation means, 15 ... Predicted value calculation means, 16 ... Consumption trend calculation means, 17 ... Excess judgment means, 18 ... Achievement status judgment means, 19 ... Demand rate calculation means, 20 ... Load factor calculation means, 21 ... Decrease Situation judging means, 22 ... maximum leakage current calculating means, 23 ... leak current predicted value calculating means, 24 ... leakage current excess judging means, 25 ... first maintenance guide judging means, 26 ... second maintenance guide judging means.

Claims (14)

In a monitoring system consisting of a measuring device for measuring the amount of power of each equipment and a data recording / analyzing computer connected to the measuring device via a transmission line,
The data recording / analysis computer includes:
A setting means for setting an upper limit value of electric power and various target values;
Memory means for storing the measured electric energy;
Unit power calculation means for calculating unit power from the measured power amount;
A predicted value calculation means for calculating a predicted value of unit power from past consumption results;
Consumption trend calculation means to calculate the rate of increase or decrease in unit power from the past consumption record,
An excess determination means for determining the excess state by comparing the calculated unit power and the predicted value of the unit power with the upper limit value;
A monitoring system comprising: an achievement state judging means for judging an achievement state by comparing an increase / decrease rate or a year-on-year ratio with a target value. The monitoring system according to claim 1,
The unit power calculation means calculates average power as unit power,
The predicted value calculation means calculates a predicted value of average power,
The consumption trend calculating means calculates an increase / decrease rate of average power,
The excess determining means determines an excess state by comparing the average power and the predicted value of the average power with an upper limit value,
The achievement state determination means determines the achievement state by comparing the rate of increase / decrease in average power with a target value. The monitoring system according to claim 1,
The unit power calculation means calculates a basic unit power as a unit power,
The predicted value calculation means calculates a predicted value of basic unit power,
The consumption trend calculating means calculates the year-on-year rate of basic unit power,
The excess determination means compares the predicted value of basic unit power and basic unit power with an upper limit value to determine an excess state,
The achievement state determination means determines the achievement state by comparing the year-on-year rate of basic unit power with a target value. The monitoring system according to claim 2,
The setting means is configured to input and set a lower limit value of power and an equipment capacity,
The unit power calculating means is configured to calculate an average power and calculate an average power for a maximum of 30 minutes,
The data recording / analysis computer further includes:
A demand rate calculating means for calculating the demand rate from the average power and the installed capacity for a maximum of 30 minutes;
Load factor calculating means for calculating the load factor from the average power for a maximum of 30 minutes;
A monitoring system comprising reduced state determination means for comparing the calculated demand rate and load factor with the lower limit value of the power to determine a reduced state. In the monitoring system in any one of Claims 1-4,
The measuring device is configured to measure the leakage current of each equipment device,
The setting means is configured to input and set an upper limit value of leakage current,
The data recording / analysis computer further includes:
A maximum leakage current calculating means for calculating a maximum leakage current;
A leakage current prediction value calculating means for calculating a leakage current prediction value;
A monitoring system comprising: a leakage current excess determining means for determining an excess state by comparing the calculated maximum leakage current and the predicted leakage current with an upper limit value. The monitoring system according to claim 5, wherein
The setting means is further configured to input and set a previous inspection date, an inspection guide period, an introduction date, and an update guide period,
The data recording / analysis computer further includes:
A first maintenance guideline judging means for judging a maintenance guideline by comparing the judgment date + n days with the previous check date + the check guide period;
A monitoring system comprising a second maintenance guideline judgment means for judging a maintenance guideline by comparing a judgment date + n days with an introduction date + update guide period. In the monitoring system in any one of Claims 1-6,
The data recording / analyzing computer includes a display for displaying a list of determination results based on the determination of each determination means, and the priority classification order, the generation date order set for each item to be monitored as the display order , Monitoring system characterized by selecting from the order of equipment and displaying. In a monitoring method for monitoring the power of each equipment device by a data recording / analysis computer connected via a transmission line with a plurality of measuring devices that measure the amount of power of each equipment equipment,
The data recording / analysis computer includes:
The upper limit of power and various target values are preset,
Memorize the measured amount of power of each equipment,
Unit power is calculated from the measured power amount,
Calculate the predicted value of unit power from past consumption results,
Calculate the rate of increase / decrease in unit power from the past consumption record or the year-on-year rate,
Compare the calculated unit power and the predicted value of unit power with the preset upper limit value to determine the excess state,
A monitoring method characterized in that an achievement state is judged by comparing an increase / decrease rate or a year-on-year ratio with a preset target value. 9. The monitoring method according to claim 8, wherein the data recording / analysis computer comprises:
Average power is calculated as the unit power,
Calculate a predicted value of average power as the predicted value,
Calculate the rate of change from past consumption results
Compare the average power and the predicted average power with the upper limit to determine the excess,
A monitoring method characterized in that an achievement state is judged by comparing an increase / decrease rate of average power with a target value. 9. The monitoring method according to claim 8, wherein the data recording / analysis computer comprises:
Calculate basic unit power as unit power,
Calculate a predicted value of basic unit power as the predicted value,
Calculate the year-on-year rate of basic unit power from past consumption results,
Compare the basic unit power and the predicted value of the basic unit power with the upper limit value,
A monitoring method characterized in that the achievement level is judged by comparing the year-on-year rate of basic unit power with a target value. 10. The monitoring method according to claim 9, wherein the data recording / analysis computer comprises:
The lower limit of power and equipment capacity are preset,
Calculate the average power up to 30 minutes as the average power,
Calculate the demand rate from the average power and facility capacity for up to 30 minutes,
Calculate the load factor from the average power for a maximum of 30 minutes,
A monitoring method, comprising: comparing the calculated demand rate and load factor with a lower limit value of the power to determine a lowered state. In the monitoring method in any one of Claims 8-11,
The measuring device measures the leakage current of each equipment device,
The data recording / analysis computer includes:
The upper limit of leakage current is preset,
Calculate the maximum leakage current from the measured leakage current,
Calculate the predicted leakage current from the measured leakage current,
A monitoring method characterized in that an excess state is determined by comparing the calculated maximum leakage current and the predicted leakage current value with an upper limit value. The monitoring method according to claim 12, wherein
The data recording / analysis computer further includes:
Compare the judgment date + n days with the previous inspection date + inspection guide period, determine the maintenance guideline,
A monitoring method characterized in that a maintenance standard is determined by comparing a judgment date + n days with an introduction date + an update standard period. In the monitoring method in any one of Claims 8-13,
The data recording / analysis computer displays a list of determination results based on the determination of each determination means, and the display order is selected from the order of priority of the monitoring target, the generation order of the determination, and the order of the equipment. The monitoring method characterized by displaying in order.

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