JP4776590B2 - Maintenance management support apparatus, display method thereof, and maintenance management support system - Google Patents

Description

  The present invention relates to a maintenance management support device for equipment constituting a plant and a display method thereof.

  Conventionally, maintenance of equipment constituting a plant or the like has been a method of periodically performing work such as parts replacement and cleaning, and repair and response after occurrence of a failure. In recent years, maintenance management methods aiming to reduce the so-called life cycle cost (LCC) such as running cost and maintenance cost of equipment or system are becoming mainstream from the viewpoint of maintenance work efficiency and equipment efficiency. A management support system has been proposed.

  In the system described in Patent Document 1, a system has been proposed in which abnormalities, performance, and deterioration of equipment are evaluated based on operation data, and a plant maintenance plan that considers risk vs. cost is considered for extending the inspection time.

  In the system described in Patent Document 2, the remaining life of components is predicted based on input data for life prediction, and other maintenance work is simultaneously performed during large-scale maintenance work, thereby shortening the system stop time. In addition, a system for creating a maintenance plan that minimizes the life cycle cost including the cost required for system downtime has been proposed.

Japanese Patent Laid-Open No. 2003-114294 JP 2002-297710 A

  In actual maintenance management, items such as the possibility of a failure stop and the capability of the system should be determined based on the judgment as to whether or not the items are suitable for the cost. For example, in a system having a heat exchanger represented by air conditioning equipment, it is common to periodically wash with chemicals such as acids in order to reduce dirt and heat exchange performance and efficiency over time. Done. However, even if the cleaning is performed excessively, the effect is not obtained more than the cost required for the cleaning, and if the cleaning is not performed at an appropriate time, the running cost is increased due to the decrease in efficiency. Furthermore, a trip switch installed for the purpose of protecting equipment may be operated due to an increase in temperature or pressure, leading to a situation where the system is stopped. Further, if only the running cost and the cost for maintenance work are taken into consideration, depending on the operating conditions such as temperature and load, there is a possibility that the system capacity is insufficient and the system cannot be cooled to a desired temperature.

  Which of these failure stop probabilities, performance, and cost is important depends on the system. For example, in factories where temperature management is important, such as power generation facilities and clean rooms, priority is given to the system not shutting down, but in building air conditioning, there is a tendency to place importance on the balance between maintaining the indoor temperature and the costs involved. is there.

  Therefore, in order to facilitate the formulation of the maintenance plan, there is a problem that it is necessary to clarify the relationship between each index to be evaluated and the LCC.

  In order to deal with these problems, the above-described conventional technology is based on the premise of creating a maintenance management plan that minimizes LCC, with an emphasis on preventing a failure stop as in a power plant. It is not always sufficient to clearly display the relationship between the rate and performance, and to support the formulation of a maintenance plan according to the importance of the user for the item.

  The object of the present invention has been made in view of such circumstances, and at the same time displaying the relationship between the LCC to the maintenance plan, the failure stop probability of the device or system, the capability of the device or system, and at the same time, each item from the user. Another object of the present invention is to provide a maintenance management support apparatus that displays a recommended plan according to the priority of the above and a result display method. It is another object of the present invention to provide a maintenance management support system that makes it easy to formulate a maintenance plan by displaying in easy-to-understand manner the relationship between the LCC for the maintenance plan, the failure stop probability of the device or system, and the capability of the device or system.

  The present invention for achieving the above object is a maintenance management support apparatus for inspecting a deterioration state of equipment constituting a plant and formulating a maintenance plan, and accepts calculation conditions including a degree of coincidence for a plurality of evaluation items. An input unit, a signal input unit for measuring and inputting a state signal in the plant, and estimating a deterioration state of the equipment based on the state signal, and the content and execution timing of maintenance work according to the deterioration state and the calculation condition A calculation unit that evaluates the plurality of evaluation items with respect to the countermeasure plan, and corrects and recalculates the countermeasure plan if the evaluation result is outside the range of the degree of coincidence, and a calculation result for the countermeasure plan And an output unit for displaying the evaluation results of the plurality of evaluation items for each of the countermeasure plan and the corrected measure plan.

  The countermeasure plan is initially assumed to be a maintenance plan, and includes a plurality of countermeasure plans that are corrected when the plan is out of the range of coincidence. Alternatively, the countermeasure plan includes a plurality of preset countermeasure plans.

  The plurality of evaluation items are indices representing cumulative cost (LCC), failure stop probability, and performance when the countermeasure is implemented, and the output unit is a graph showing the cumulative cost, failure stop probability, and performance index. It is displayed in a format, and one of the plurality of countermeasures is displayed as a recommendation.

  The display method by the maintenance management support apparatus of the present invention accepts a calculation condition including a degree of coincidence for a plurality of evaluation items, measures a state signal in the plant, estimates a deterioration state of equipment based on the state signal, Based on the deterioration state and the calculation conditions, evaluation is made for a plurality of evaluation items for the countermeasure plan including the content and timing of the maintenance work, and if the evaluation result is out of the coincidence range, the countermeasure plan is corrected. The evaluation results of the plurality of evaluation items are displayed for each of the countermeasure plan and the corrected countermeasure plan.

  The plurality of evaluation items are an index representing an accumulated cost (LCC) when the countermeasure is implemented, a failure stop probability, and a performance of a device constituting the plant, and the accumulated cost constitutes the plant. Calculated by the sum of the operating cost that shows a tendency to increase with respect to the operating time and output of the device and the maintenance cost that increases with respect to the number of maintenance operations, the failure stop probability decreases with respect to the maintenance cost As an index for calculating the possibility of failure stop and indicating the performance of the device, an index relating to the capability of the target device that increases with respect to the maintenance cost is calculated.

  An evaluation result of an index representing the accumulated cost, failure stop probability and performance is displayed on the same graph.

  Priorities and / or weights of evaluation results for indicators representing the accumulated cost, failure probability and performance are received in advance, and based on the priorities and / or weights, the countermeasures are evaluated for the plurality of evaluation items, The feature with the highest degree of coincidence is displayed as a recommended plan.

  For the recalculated measure plan, a correction plan for the priority and / or weight of the evaluation result for the index indicating the accumulated cost, failure probability, and performance is received, and the result recalculated based on the correction plan is displayed. It is characterized by doing.

  The present invention is characterized in that a correction plan for maintenance content and / or implementation time included in the countermeasure plan is received, the evaluation items are re-evaluated based on the correction plan, and the evaluation result is displayed again.

  According to the present invention, since it is possible to obtain the probability that the LCC and the equipment will stop and the ability of the equipment and display the relationship in an easy-to-understand manner, the user can easily create a maintenance plan. is there.

  Embodiments of the present invention will be described below in detail with reference to the drawings.

  In the first embodiment of the present invention, an example in which the maintenance management support system is applied to an air conditioning system will be described with reference to FIGS.

  FIG. 1 is a schematic configuration diagram of a maintenance management support system according to the present invention. As shown in FIG. 1, the system includes a signal input unit 1, a calculation unit 2, an output unit 3, an input unit 4, a maintenance work database 5 including work costs 11 and work effects 12, and failure statistics including failure rate data 13. It consists of a database 6 and storage means 7.

In the signal input unit 1, a signal representing the operation state quantity of the equipment constituting the facility and a signal representing the actuator operation are input. The calculation unit 2 diagnoses the deterioration state of the equipment based on the signal input from the signal input unit 1, and calculates a countermeasure plan including maintenance contents and timing while referring to the maintenance work database 5 and the failure statistics database 6. , Evaluate LCC, failure stop probability, and system capability obtained from the sum of system operation cost and work cost. Furthermore, based on the calculation conditions such as priority and tolerance values for each evaluation item such as target period, cost, failure probability, system capability, etc., input from the user via the input unit 4 , recommended measures are taken from the evaluation results. Ask for a plan. Then, the cost of each countermeasure plan, the failure stop probability, the evaluation result regarding the system capability and the recommended countermeasure plan are output, and the output unit 3 visually displays the evaluation result regarding the cost, the failure stop probability, the system capability, Display recommended measures. The user can make an input regarding correction or determination regarding the countermeasure plan displayed via the input unit 4, and the determined countermeasure plan is stored in the storage unit 7.

  FIG. 2 is a schematic configuration diagram when the present system is applied to a central type air conditioning system used for building air conditioning. The air conditioning system includes an absorption chiller / heater 31, an air conditioner 32, a cooling tower 33, a chilled water pump 34, a chilled water pump 35, a chilled water three-way valve 36, a chilled water three-way valve 37, a room 38, and various elements as heat source devices. A cold water pipe 39 to be connected, a cooling water pipe 40 and a duct 41 are provided. Furthermore, the maintenance management support system 10 and measurement means 15 for measuring the state quantities of each part of the system are configured.

  The operation of the air conditioning system during cooling will be briefly described. The absorption chiller / heater 31 uses heat input from gas, heavy oil, steam, or the like, absorbs heat from the chilled water to cool the chilled water, and dissipates heat input from the heat source and the chilled water to the cooling water. The cooled cold water is sent to the air conditioner 32 by the cold water pump 34, and the cooling water heated by the heat radiation from the cold / hot water machine 31 is sent to the cooling tower 33 by the cooling water pump 35. The chilled water sent to the air conditioner 32 is used for cooling the mixed air of the return air from the room 38 and the outside air introduced for ventilation, and the chilled water heated by cooling the air is absorbed cold / hot water. Return to machine 31. The air cooled by the air conditioner 32 is supplied to the room 38 and is warmed by the heat load in the room 38, for example, heat generated by the human body, heat generated by equipment such as lighting, heat transmitted from the outside through the walls and windows, and some Is returned to the air conditioner 32, and a part of the air is exhausted outside the room. The cooling water sent from the absorption chiller / heater 31 to the cooling tower 33 is cooled by directly exchanging heat with the outside air in the cooling tower 33, and returns to the absorption chiller / heater 31. The cold water three-way valve 36 is used to adjust the flow rate of cold water sent to the air conditioner 32 in order to keep the room temperature constant. The cooling water three-way valve 37 is used to adjust the flow rate of cooling water sent to the cooling tower 33 in order to maintain the cooling water temperature returning to the absorption chiller / heater.

  As described above, the air conditioning system dissipates the heat load of the room 38 and the heat load of the introduced outside air to the outside air via the air conditioner 32, cold water, absorption chiller / heater 31, cooling water, and cooling tower 33. Yes. Therefore, the cooling capacity of the system varies with the outside air temperature.

  FIG. 3 conceptually shows the operating point of the air conditioning system. The operating point of the system is that the capacity of the air conditioning system and the heat load in the room are balanced. When the outside air temperature rises, the temperature of the cooling water that radiates heat to the air in the cooling tower 33 rises and it becomes difficult to dissipate heat, so that the cooling capacity decreases. Further, the indoor heat load tends to increase as the outside air temperature rises if conditions such as indoor temperature and humidity are constant. Further, when the room temperature is raised, the heat load is reduced.

  Therefore, when the room is kept at the same temperature condition, when the outside air temperature rises from a to b, the heat load increases from point A to point B, and the input amount of the heat source unit increases from 80% to 100%. . However, if the performance of the heat source device is reduced and the capacity at the time of 80% input is not obtained, the operation is performed at the point C, and the indoor temperature rises.

  Next, deterioration and maintenance of the air conditioning system will be described with reference to FIGS. FIG. 4 is an explanatory diagram showing the relationship between the amount of dirt adhered and the efficiency or maximum capacity in the absorption chiller / heater. In the absorption chiller / heater, cooling water that directly exchanges heat with the outside air is passed for heat dissipation, and contamination of the cooling water piping occurs due to contamination by foreign substances and concentration of impurities in the cooling water. The amount of adhesion increases over time.

  FIG. 5 is an explanatory diagram showing the relationship between the amount of dirt attached to the absorption chiller / heater and the pressure or temperature in the machine. If dirt adheres to the cooling water piping, the efficiency and capacity will decrease, the temperature and pressure inside the machine will increase, and if the amount of adhesion is large, the protection circuit of the equipment will be activated and stopped. Dirt adhering to the cooling water piping is removed by a cleaning operation using a brush or an acid chemical.

  In addition to this, there is aged deterioration such as clogging due to foreign matter mixing in the watering nozzle in the cooling tower 33, cracking of the fan belt used for power transmission between the fan and the motor that drives the fan, and wear of the sliding part of the pump. Measures such as cleaning, disassembly inspection, and replacement are taken for these deteriorations.

  FIG. 6 is an explanatory diagram showing the relationship between the pump operation time and the failure rate. Deterioration such as wear of the sliding part tends to increase the failure rate rapidly after a certain amount of operation time.

  FIG. 7 is a flowchart showing an outline of a calculation procedure in the calculation unit of the present system. When the system is started up (S101), a calculation condition input screen is displayed (S102), in response to an input of calculation start (S103), the input calculation condition is read (S104), and a calculation procedure described later is executed (S105). The result is displayed (S106). If there is an input to make a decision regarding the displayed plan, the contents of the plan are stored (S107).

FIG. 8 is an example of the condition input screen displayed in the processing procedure S102. The contents input by the user are the priority and period for each evaluation item. In the example of FIG. 8, LCC, failure stop establishment, and temperature maintenance rate are raised as evaluation items. The temperature maintenance rate is an example of an evaluation item related to performance. The priority (weight) is input by moving the slide in the bar display or inputting a numerical value. In the evaluation period, it is input as the number of years since the start of operation or the number of years since the present.

  FIG. 9 is a flowchart showing details of a calculation execution procedure according to an embodiment of the calculation unit 2. First, when a calculation start is input (S201), a state quantity indicating an operation state of the device and an actuator signal input to the signal input unit 1 are read (S202). Next, the deterioration state of the device is diagnosed based on the input signal (S203).

  After the deterioration state is diagnosed, a maintenance plan composed of maintenance work contents and execution timing is assumed (S204). There are various assumption methods for the maintenance plan, but here, the A plan described later is assumed. The work content database 5 and the failure statistics database 6 are read (S205), and the deterioration state diagnosed in S203 and the maintenance work database 5 are referenced to estimate the deterioration state (S206). Then, based on the estimated deterioration state, LCC evaluation (S207), failure probability evaluation (S208), and performance evaluation (S209) are performed. Details of the calculation method will be described later.

  After the evaluation of each item, the evaluation result is stored for correction and display of the maintenance plan (S210), and the degree of coincidence with the input inputted by the user is evaluated (S211). It is determined whether or not (S212). If the degree of coincidence is not within the allowable range, the maintenance plan is corrected (S213). If it is determined that the degree of coincidence is within the allowable range, the calculation is terminated (S214).

  Hereinafter, details of various diagnostic methods and calculation methods in the calculation procedure will be described. As a method for diagnosing the deterioration state, for example, a physical model of the target device disclosed in Japanese Patent Application Laid-Open No. 2007-17032 is used. There is a method to identify.

  When diagnosing the deterioration state of the absorption chiller / heater 31, a state quantity indicating an operation state such as a chilled water inlet / outlet temperature, a cooling water inlet / outlet temperature, a temperature and pressure of a high-temperature regenerator, and a gas consumption amount may be used. In the diagnosis of the air conditioning system shown in FIG. 2, in addition to the above items, the room temperature and humidity, the temperature and humidity of the supply air, and the outside air temperature and humidity may be added. These measurement items may be determined according to the form of the physical model to be used, and are not necessarily the items described above.

  In addition, as a diagnostic method, there is a method in which a means for measuring displacement, sound, or vibration is provided, and the measured value is used as an input signal for evaluation by comparison with a deterioration curve prepared in advance. Any method can be used as long as it can quantitatively evaluate the deterioration state of the target device, and the method is not limited to the above method. The measuring means 11 only needs to be able to measure the state quantity of the object or the operation of the actuator or the like necessary for quantitatively evaluating the deterioration of the object. It may be decided according to.

  Table 1 shows an example of the maintenance work database. As shown in Table 1, the database is a database in which the effects of work on failures, such as work costs and work effects, are databased for each work content. The database format may be a format that is easy to use in the diagnostic system.

  The failure statistics database may be any database in which data relating to the calculation of the failure rate such as the relationship between the operation time and the failure rate shown in FIG.

  FIG. 10 shows the diagnosis result and the estimation result regarding the transition of the dirt adhesion amount of the absorption chiller / heater. The plot in the figure is the diagnosis result regarding the amount of dirt adhered every year, and shows the diagnosis result for three years from the installation. The thin lines and broken lines in the figure represent the amount of future dirt adhesion estimated based on the diagnosis results and maintenance plan for three years. The thin line is an estimation result when maintenance work is not performed, and is a result of estimation that the adhesion progresses in the same manner as the trend for three years in the future. The broken line is the estimation result when cleaning is performed after 3 years. The amount of dirt adhesion is estimated based on the cleaning effect included in the maintenance work database 5, and the same adhesion as in the past 3 years after the work is performed. It is the result of presuming that will progress.

  Next, an evaluation method regarding LCC, failure stop probability, and performance will be described. The LCC is calculated by Equation 1 as the sum of the cumulative Cr of running costs such as electricity and fuel, which increase in proportion to the system load and operating time, and the cumulative Cm of maintenance costs related to maintenance.

  Cumulative running cost Cr is based on cumulative running cost Cr 'up to the time of diagnosis, system efficiency η (0) and running cost C (0) in the diagnosed degradation state, and estimated degradation state after n years. It can be obtained from the calculated system efficiency η (n) and is expressed by the following equation (2).

  The efficiency in the deteriorated state may be calculated from the physical model based on the state quantity indicating the load and operating conditions of the chilled water heater such as the chilled water inlet / outlet temperature and the cooling water temperature inlet and the estimated deteriorated state.

  For example, using the measured values of the chilled water inlet / outlet temperature and cooling water temperature inlet collected during one year as boundary conditions, the estimation result of the state quantity indicating deterioration such as the amount of dirt adhered (or dirt coefficient) is given to the physical model. The efficiency may be calculated, and the average value may be used as the annual efficiency. Or if the fuel consumption itself in each boundary condition is used, the result which considered the change of efficiency will be obtained.

  The cumulative maintenance cost Cm can be obtained by referring to the maintenance work database 5 based on the contents and timing of execution included in the maintenance plan. The cumulative maintenance cost Cm ′ up to the time of diagnosis and the future maintenance cost Cm It can be obtained from Equation 3 from (n).

  FIG. 11 is an explanatory diagram showing the efficiency of the chiller / heater calculated based on the deterioration estimation result shown in FIG. FIG. 12 is a diagram showing an LCC calculated based on the deterioration estimation result shown in FIG. In this example, the reduction in running cost caused by the improvement in efficiency due to the cleaning exceeds the cost required for the cleaning, so that the LCC is lower in the cleaning.

  The failure stop probability Rs (n) after n years is obtained from the failure stop probability Ri (n) of the device i after n years from the equation 4, and the failure stop probability Rs can be obtained from the equation Rs (n) according to the equation 5. it can.

  The failure stop probability Ri (n) can be obtained by using a parameter having a correlation with the failure rate such as time, such as the failure rate of the pump shown in FIG. 6, or can be obtained from the relationship between displacement, stress and life. There are things that can be judged from sound and vibration. Furthermore, there are things that cannot be obtained without considering the operating state, such as a failure that operates a limit switch to protect the equipment.

  The former is for estimating an operation time or the like from an input signal representing an operation state, and is obtained by inputting a measured value using a means for measuring displacement, sound or vibration. The latter can be obtained by estimating the operating state using a physical model, as with the running cost.

  For example, past data related to physical quantities that represent cycle loads and operating conditions such as cold water inlet / outlet temperature, cooling water inlet / outlet temperature, and outside air temperature are calculated using a physical model based on state quantities indicating deterioration, and The state quantity of each part of the chiller / heater is calculated. Regarding the outside air temperature, create a database on the appearance frequency from past operation data, or create a database on the appearance frequency based on weather statistics data at observation points close to the installation location of the equipment. The appearance frequency can be obtained as a failure occurrence probability.

  The failure stop probability Rs may be the maximum value of the failure stop rate in each year as shown in Equation 6.

  Next, an index indicating the capability of the system or device will be described. In the case of the air conditioning equipment of the present embodiment, the indoor environment is maintained at a predetermined temperature condition in consideration of the role of the original equipment. For this reason, as an index representing the ability, the probability that the room temperature can be maintained at a predetermined temperature and the temperature maintenance probability Rc are used.

  For the evaluation, a physical model may be used similarly to the evaluation of the LCC and the failure stop probability. That is, based on the estimated state of deterioration, the system capability with respect to the outside air temperature is obtained, and the room temperature that is the operating point of the system can be obtained from the load with respect to the outside air temperature obtained from the past operation results. At this time, similarly to the calculation of the failure stop probability, if the appearance frequency of the outside air temperature or the appearance frequency of the load condition is obtained, the temperature maintenance rate Rc (n) for each year can be obtained.

  The temperature maintenance rate Rc is obtained by Equation 7 using the temperature maintenance rate Rc (n) of each year obtained as described above.

  Equation 7 means the probability in n years, and may be the minimum value from the probability of each year as shown in Equation 8.

  The method for selecting recommended measures is described below. The recommended countermeasure plan is determined by evaluating the degree of coincidence with the priority set by the user. As an evaluation method for matching with the priority, there are the following methods.

  First, the LCC, failure stop probability, and temperature maintenance rate for the initially assumed maintenance plan are set as initial values, which are LCC_ini, Rs_ini, and Rc_ini, respectively. The degree of coincidence B is calculated from Equation 9 for the evaluation results LCC (j), Rs (j), and Rc (j) of the measure plan j, with the weighting factors of the items as A1, A2, and A3, respectively. A countermeasure plan that minimizes the degree of coincidence B may be a recommended countermeasure plan. When this method is used, the maintenance plan assumed first may be input based on the manufacturer recommended time of each device and the user based on experience.

  At this time, the weighting factors A1, A2, and A3 are preferably input as numerical values by the user, but only the priority order is input, and the weighting factor is set for each of the first, second, and third priority items. It is good also as a large value in order with a high priority like 3, 2, 1. In the above method, evaluation is performed using deviations from the minimum values of LCC, failure stop probability, and temperature maintenance probability. However, each target value can be input from the user and the deviation from the input target value can be used. Good.

  The selection method of the recommended countermeasure plan has been described above. However, any other method may be used as long as the countermeasure plan is selected in accordance with the user priority.

  Next, a maintenance plan correction method will be described. As a maintenance plan correction method, an optimization method may be applied using the degree of coincidence as an evaluation function. As a well-known optimization method, there is a method using a genetic algorithm.

  When processing is performed using the optimization method, the maintenance plan is corrected as follows. First, the LCC, the failure rate, etc. are evaluated for the assumed maintenance plan, that is, the maintenance content and the execution timing (or execution cycle). Next, the LCC, the failure rate, etc. are evaluated in the same manner as described above for the modified maintenance plan in which a part of the maintenance plan (for example, the implementation time) is changed. As described above, the optimum maintenance plan desired by the user is searched based on the previous evaluation of coincidence while changing the combination of the content of the maintenance work and the execution time or the execution cycle.

  The search process for the optimum maintenance plan will be described. In Table 2, brush cleaning, chemical cleaning, cold water pump replacement, and cooling water pump replacement are registered as maintenance work contents. As the assumed maintenance plan, the A plan that does not perform maintenance for 15 years is adopted. Since it is unclear whether the result obtained with only the plan A is an optimal plan, the plan B for brush cleaning and pump replacement is created as a revised plan after the calculation of the plan A is completed.

  FIG. 17 shows an example of a result display method in this embodiment. The details of FIG. 17 will be described later. As shown in the figure, in the proposals A and B, each of the evaluation items of the LCC, the failure rate, and the performance (temperature maintenance rate) is improved. When changed, each evaluation item is expected to change. In addition, maintenance plans are created in which the maintenance work content and implementation timing shown in plan C to plan E are changed, and maintenance is performed until it is determined that the match with the priority set by the user is minimum after calculation of each correction plan. Create a revised maintenance plan that changes the content and implementation time. At this time, the maintenance plan can be corrected more efficiently by comparing with the evaluation result stored about how the evaluation result has changed due to the change of the maintenance plan.

  In addition to the optimization methods described above, different maintenance plan proposals such as maintenance plan A to E shown in Table 2 are given in advance, each of the given maintenance plan proposals is evaluated, and the user sets it from there. A plan that most closely matches the priority may be used as an optimum maintenance plan.

  FIG. 13 shows a processing procedure when a maintenance plan to be evaluated in advance is given. Since the basic processing procedure is the same as that in the case of correcting the maintenance plan shown in FIG. 9, only the differences will be described.

  Instead of the procedure (S204) assuming the maintenance plan in the flowchart of FIG. 9, a given maintenance plan is read (S604). Then, for all given maintenance plans, evaluation is sequentially performed on LCC, failure stop probability, and performance (S605 to S609), the evaluation results are stored (S610), and the degree of coincidence is evaluated (S611). Is also stored (S612). Then, a comparison is made with the maximum degree of coincidence in the maintenance plan already calculated (S613), and when the degree of coincidence calculated so far is larger, the calculated maintenance plan is stored as an optimum plan (S614). . Then, after all the plan proposals have been evaluated (S615), the calculation is terminated with the stored optimum plan as the recommended plan.

  When the maintenance plan to be calculated in advance is given in this way, the calculation time is compared with the method of searching for the recommended maintenance plan while correcting the maintenance plan because the calculation is performed for a very limited plan given by the user. Is shortened. However, when the maintenance plan proposed in advance is not appropriate, an optimal maintenance plan may not always be obtained.

  Therefore, a method may be used in which maintenance work patterns predicted in advance are created as a maintenance plan list, and all the patterns are calculated. In this case, as a method for evaluating the degree of coincidence B, the degree of coincidence may be obtained by Equation 10 using the minimum values (LCC_min, Rs_min, Rc_min) of the evaluation results of LCC, failure stop probability, and temperature maintenance rate.

  The method described above will be described in detail with reference to Table 2 and FIGS. Table 2 is a table in which the work contents and the implementation time of each plan are arranged for the evaluated maintenance plan. FIG. 14 shows LCC evaluation results for the maintenance plan proposals shown in Table 2. From Table 2, it can be seen that the number of maintenance work is increased in the other plan compared to the plan A. However, in the plan A, since maintenance work is not performed, the efficiency is lowered and the running cost is increased. In the plan E, the running cost can be reduced by the maintenance work, but the maintenance cost is increased more than the running cost reduction. As a result, the plan D has a good balance between the maintenance cost and the running cost reduction.

  FIG. 15 is a schematic diagram showing a method for evaluating the failure probability due to the operation of the protection circuit for the maintenance plan shown in Table 2. The solid line in the figure shows the calculation result of the in-machine temperature / pressure at the maximum load with respect to the outside air temperature when each plan is implemented. A one-dot chain line in the figure indicates the operating condition of the protection circuit, and a broken line indicates the appearance frequency of the outside temperature.

  The intersection of the in-machine temperature / pressure and the operating condition of the protection circuit in the figure indicates the outside air temperature condition in which the protection circuit operates. When the outside air temperature becomes higher than this, the device stops. In the case of the plan A, the failure stop probability is obtained from the area ratio of the broken line region indicating the appearance frequency of the region and the outside air temperature in the figure. On the other hand, in cases other than Plan A, where maintenance work is increased and the amount of dirt attached is small, the temperature and pressure will drop, so the outside air temperature that is estimated to operate the protection circuit will shift to the higher side, and failure will stop The probability of doing is low.

  From the probability due to the protection circuit operation obtained as described above and the failure stop probability obtained from the relationship between the operation time and the failure rate shown in FIG. Can be used to evaluate failure probability.

  FIG. 16 is a schematic diagram for explaining a system performance evaluation method for each maintenance plan shown in Table 2. The solid line in the figure indicates the maximum cooling capacity of the system with respect to the outside air temperature when each plan is implemented, the alternate long and short dash line indicates the heat load for each room temperature with respect to the outside air temperature, and the broken line indicates the appearance frequency of the outside air temperature.

  In FIG. 16, the intersection of the maximum capacity and the heat load is the maximum outside air temperature condition that can maintain the target room temperature, and the room temperature rises when this temperature is exceeded. In the case of Plan A, the room temperature cannot be maintained at 26 ° C. in the region shown in the figure. In cases other than the plan A, which operates with a small amount of dirt attached due to maintenance work, the maximum capacity increases because efficiency is improved, and the balance point between the maximum capacity and the thermal load at room temperature of 26 ° C is the outside air temperature. The probability of not being able to maintain the target temperature is lowered. From the above, it is possible to evaluate the temperature maintenance rate that is an index representing the performance of the air conditioning system.

  FIG. 17 is an explanatory diagram showing a method of displaying calculation results in the output unit. At the top, the importance of each item and the assumed period entered before the start of calculation are displayed. The graph on the upper left is the evaluation result regarding the LCC, the failure stop probability, and the temperature maintenance rate indicating the system performance for each maintenance plan, and the plot (E plan) displayed in gray is the recommended plan. The graph on the upper right is a graph showing the number of years of operation and LCC when the recommended plan is implemented, and the breakdown of running costs and maintenance costs in each year. Also, at the bottom, the work content and the execution time are displayed, and the recommended plan is displayed at the end of the calculation. Triangular dots indicate the execution time of each work content.

  If you want to check the work content and time other than the recommended plan, select the plot in the graph displayed by plan, or select the plan from the pull-down menu in the transition display or plan content display column. Displayed in the display and plan content display column.

  When the “plan adoption” button at the lower right of the screen is pressed, the plan contents are stored in the storage means 7, and when the “result search” button is pressed, the contents stored in the storage means 7 can be confirmed.

  In the illustrated diagnosis result, the temperature maintenance rate increases and the failure stop rate decreases in the order from the A plan to the E plan. In addition, DCC has the smallest D plan. In the plan A, since maintenance work is hardly performed, the efficiency is lowered and the performance cannot be exerted, and the temperature and pressure tend to increase, so the failure is likely to stop. Furthermore, although the maintenance cost is small, the running cost is increasing due to the decrease in efficiency. On the other hand, the cost of D plan is minimum. Further, the cost of the plan E is not minimum because the maintenance cost is equal to or more than the reduction of the running cost. In addition, since the E plan has the best temperature maintenance rate, and it can be operated in a state with less contamination by maintenance, it can be operated in a high performance state as system performance.

  The recommended plan for this result is the E plan, but this is considered to be due to the high importance of the failure stop rate based on the input conditions displayed at the top. It is estimated that it will be D plan which becomes the minimum.

  The cost transition when the E plan, which is the recommended plan, is implemented can be confirmed in the graph on the upper right, which is helpful when considering the budget. In addition, a detailed plan of work is shown, and if there is a difference from the content that the user has examined based on experience, it is easy to enter the maintenance plan correction described later, recalculate and compare .

  In addition, the user can visually recognize the relationship between the LCC in the recommended countermeasure plan, the probability of failure stop, and the room temperature maintenance probability representing the system performance, and the comparison with other countermeasure plans becomes easy. In addition, if you want to reduce the probability of failure stop or give priority to performance, you can see the relationship with cost, and it is easy to compare and examine other countermeasures.

  In this way, if the index relations regarding LCC, failure stop probability, and system performance can be visually recognized, other forms such as a three-dimensional graph format may be displayed, and the display method is switched after the user sees the result. You may do it.

  FIG. 18 shows another example relating to a display method of LCC, failure stop probability, and temperature maintenance rate. In this example, the cost is plotted on the vertical axis, the horizontal axis on the left side of the vertical axis is the temperature maintenance rate indicating the performance, and the horizontal axis on the right side of the vertical axis is the failure stop probability. Each axis takes a large value in the direction of the arrow. For example, when the plan A and the plan B are compared, the plan A has a greater LCC, failure probability, and a lower temperature maintenance probability. When such a display method is used, there is an advantage that the relationship between the failure probability and the temperature maintenance rate can be grasped with reference to the LCC as compared with the display method of FIG. 17, but there is a disadvantage that it is difficult to compare each plan.

  FIG. 19 shows another example relating to a display method of LCC, failure stop probability, and temperature maintenance rate. In this example, the LCC is a Z-axis, the temperature maintenance rate is the Y-axis, and the failure stop probability X-axis is a three-dimensional scatter diagram. This display method has an advantage that the relationship between cost, failure probability, and performance can be grasped more intuitively when the number of countermeasures is small. However, when the number of countermeasures is large, there is a disadvantage that it becomes complicated and difficult to grasp.

  Next, a method for displaying the result based on the input from the user who desires to change the display content will be described. FIG. 20 is a flowchart showing a processing procedure when displaying a result based on an input from the user.

  First, when a display item change is requested (S301), a display item selection screen is displayed (S302), input is accepted (S303), and input content is determined (S304). If the input content is “cancel”, the calculation result is displayed and the process is terminated (S306). If the input content is “execute”, the selected content is read and the selected content is determined (S307). As a result, when the failure stop probability is selected, the failure stop rate evaluation result is read (S308). When the cost is selected, the cost evaluation result is read (S309). When the performance is selected, the performance evaluation result is read (S310), and finally the result is displayed (S311).

  It should be noted that the same processing procedure is used for confirmation of work contents and timing other than the recommended plan. For the plan selected in the plot in the graph according to the plan, the transition display, or the pull-down menu in the plan content display column, the contents temporarily stored in the calculation process are read and displayed.

  FIG. 21 is a screen for inputting a change of a display item. Select the display contents from the pull-down menu and press the execute button to display the transition of the selected item. If the cancel button is pressed, the screen returns to the calculation result display screen.

  FIG. 22 is obtained by switching the display related to the cost to the failure stop probability from the display of FIG. As described above, the user can confirm necessary information by selectively displaying detailed results regarding the cost, the failure stop rate, and the temperature maintenance rate.

  Next, a method for performing recalculation based on the correction from the user will be described. FIG. 23 is a flowchart showing a processing procedure for performing recalculation based on corrections from the user. First, when a correction request is input (S401), a correction content selection screen is displayed (S402), the input is accepted (S403), and the input content is determined (S404). If "Cancel" is input, the calculation result is displayed and the process is terminated (S406). When “execution” is input, input related to selection of correction content is read (S405), and it is determined whether the calculation condition regarding the priority and calculation period is changed or the maintenance plan is corrected (S407).

  When change of priority or calculation condition is selected, a condition input screen is displayed (S414). When calculation start is input (S415), the input calculation condition is read (S416), and the calculation is executed. (S417), the result is displayed (S418).

  When a maintenance plan correction is input, a correction screen is displayed (S408), a request for "execute" or "cancel" is accepted (S409), and if "execute" is input, the correction content is read. (S411) The calculation is executed based on the input content (S412), and the result is displayed (S413).

  FIG. 24 is a correction content selection screen. Check the button provided on the left side of the item to select the correction contents, and select the plan to be corrected from the pull-down menu.

  FIG. 25 is a maintenance plan correction screen. The calculation condition is displayed on the upper side of the screen, the content of the maintenance plan (before correction) selected on the correction content selection screen of FIG. 24 is displayed on the middle level, and the correction content can be input on the lower level. In the correction content input field, the work contents are listed on the left, and a button indicating the execution time is arranged for each work content. The black button indicates when the work is performed, and the white button indicates that there is no plan to be performed. It should be noted that the implementation time column in which no button is displayed means that it has already passed.

  There are two ways to input the correction contents. First, when it is desired to change the execution time of the work content included in the selected plan, it is performed by selecting a button indicating the execution time. If there is content to be added, select the work content from the pull-down menu below the work content field, and select the desired execution time button to add a new work content and execution time. Is possible. By performing recalculation based on the correction contents input in this way and displaying the result, it is possible to obtain information on LCC, failure stop probability, and temperature maintenance rate for the maintenance plan studied by the user.

  As described above, according to the present embodiment, the user can visually confirm the evaluation result of the temperature maintenance rate regarding the LCC, the failure stop probability, and the performance of the facility, and at the same time, the importance of each set evaluation item. The recommended plan according to the situation can be confirmed. Furthermore, the user can correct the maintenance plan based on the calculation result and perform recalculation, which can be used for the formulation of the maintenance plan.

  In the present embodiment, the air conditioning facility has been described as an example, but the target may be a power generation facility or an industrial equipment cooling device. When these are targeted, the ability evaluation may be displayed as a probability of whether or not a desired device ability can be exhibited, or may be an absolute value of the ability. For example, the power generation amount may be set for the generator, and the cooling capacity at the maximum outside air temperature may be set for the cooling device, and the index may be set according to the target equipment.

  Another embodiment when the maintenance management support system of the present invention is applied to an air conditioning system will be described with reference to FIGS.

  FIG. 26 is a schematic configuration diagram showing another form of the maintenance management support system. In the present embodiment, the maintenance management support system 10 provided in the air conditioning system 50 and the terminal 20 installed in the maintenance service company 51 entrusting maintenance work are connected via the information communication network 52. ing.

  In this embodiment, when the user makes an input related to the determination of the maintenance plan using the maintenance management support system 10, the determination content is displayed and a confirmation screen is displayed. When the user confirms and authenticates the content, the content of the certified maintenance plan is transmitted to the maintenance service company. Furthermore, the fact that transmission of the transmission contents to the maintenance service company is completed is displayed on the user side.

  FIG. 27 is a flowchart showing a procedure of maintenance plan transmission processing when input related to determination of a maintenance plan is performed. FIG. 28 is a confirmation screen displayed in the maintenance plan transmission process. FIG. 29 is a transmission completion screen displayed in the maintenance plan transmission process. FIG. 30 shows a retransmission confirmation screen displayed in the maintenance plan transmission process. FIG. 31 is a maintenance plan result screen displayed when transmission is not completed after the maintenance plan transmission processing.

  In the flowchart of FIG. 27, when the user decides to adopt the contents of the result display screen shown in FIG. 17 as a maintenance plan, he / she inputs that the plan is decided by pressing the plan adoption button (S501). Upon receipt of the input, the confirmation screen shown in FIG. 28 is displayed (S502). If the user confirms the contents and there is no error, the user presses the transmission execution button to input the execution of transmission, and cancels if correction is desired. The button is pressed to input that fact (S503).

  When the user executes the input, the content confirmation screen is erased (S504), the content of the input is determined (S505), and in the case of “execute”, transmission of the content to the maintenance service company is started (S506) and “cancel” ", The process ends and returns to the result display screen (S507).

  After starting the transmission, the system confirms the completion of the transmission (S508), and when the transmission to the maintenance company is completed within a predetermined time, the transmission content is stored in the storage means 7 (S509), and FIG. Is displayed (S510), and the process is terminated.

  When the transmission has not been completed, a confirmation screen regarding retransmission shown in FIG. 30 is displayed (S511). When the user inputs that retransmission is to be performed (S512), the process returns to S506 again to execute transmission. If there is no input for re-transmission, the content to be transmitted is stored (S513), and as shown in FIG. 31, a message indicating that there is untransmitted content is output on the result display screen (S514). The screen relating to the process is deleted and the process is terminated (S515).

  In the present embodiment, the work plan information can be shared between the user and the maintenance service company entrusted with the maintenance work by the user. In addition, there is a process for reconfirming the contents of transmission when transmitting information, thereby preventing erroneous transmission of information due to an operation error. Furthermore, since the maintenance work plan is notified in advance, the maintenance service company can efficiently arrange necessary equipment. For this reason, parts inventory management and personnel allocation are optimized, and the cost of the maintenance service company can be reduced. Thereby, the user has an advantage of being able to receive a service having the same contents as those not according to the present embodiment at a lower cost.

1 is a schematic configuration diagram of a maintenance management support system according to a first embodiment of the present invention. The schematic block diagram at the time of applying a maintenance management support system to an air conditioning system. Explanatory drawing which shows operation | movement of an air conditioning system. Explanatory drawing which shows the relationship between dirt adhesion and the efficiency of a heat source machine. Explanatory drawing which shows a dirt adhesion and the operation state of a heat-source machine. Explanatory drawing which shows the relationship between the operation time of a pump, and a failure rate. The flowchart which showed the outline of the process sequence in a maintenance management assistance system. Explanatory drawing which shows an example of the input screen in a maintenance management assistance system. The flowchart which showed the calculation procedure of the maintenance management assistance system by Example 1 of this invention. Explanatory drawing which shows the diagnostic result of dirt adhesion amount. Explanatory drawing which shows the diagnostic result of the efficiency and capability of a heat source machine. Explanatory drawing without closing the LCC evaluation method. 9 is a flowchart showing another calculation procedure of the maintenance management support system according to the first embodiment. Explanatory drawing which shows the cost evaluation result with respect to a some maintenance plan. Explanatory drawing which shows the evaluation method of the failure probability with respect to a some maintenance plan. Explanatory drawing which shows the evaluation method of the temperature maintenance probability with respect to a some maintenance plan. Explanatory drawing which shows an example of the display method of the result in a maintenance management assistance system. Explanatory drawing which shows another example regarding the display method of a result. Explanatory drawing which shows another example regarding the display method of a result. The flowchart which shows the change process of the display item of a result. Explanatory drawing which shows an example of the input screen for a display item change. Explanatory drawing which shows the display screen of the result at the time of changing a display item. The flowchart which shows an example regarding the correction process of a maintenance plan. Explanatory drawing which shows an example of the selection screen for maintenance plan correction. Explanatory drawing which shows an example of the input screen for maintenance plan correction. The schematic block diagram of the maintenance management assistance system by Example 2 of this invention. The flowchart which shows the procedure of a maintenance plan transmission process. Explanatory drawing of the confirmation screen displayed in a maintenance plan transmission process. Explanatory drawing of the transmission completion screen displayed in a maintenance plan transmission process. Explanatory drawing of the retransmission confirmation screen displayed in a maintenance plan transmission process. Explanatory drawing of the maintenance plan result screen displayed when transmission is incomplete after a maintenance plan transmission process.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 1 ... Signal input part, 2 ... Calculation part, 3 ... Output part, 4 ... Input part, 5 ... Maintenance work database, 6 ... Failure statistics database, 7 ... Storage means, 10 ... Maintenance management support system, 11 ... Work cost data , 12 ... work effect data, 13 ... failure rate data, 15 ... measuring means, 20 ... terminal, 50 ... air conditioning system, 51 ... maintenance service company, 52 ... information communication network.

Claims (14)

A maintenance management support device that inspects the deterioration state of the equipment constituting the plant and formulates a maintenance plan,
An input unit that receives a calculation condition including a priority for each evaluation item, with the accumulated cost (LCC) when performing maintenance on the equipment constituting the plant, a failure stop probability, and an index representing performance as an evaluation item ;
A signal input unit for measuring and inputting a state signal in the plant;
Estimating the deterioration state of the equipment based on the state signal, assuming a countermeasure plan including the content and timing of maintenance work, the evaluation items at the time of the countermeasure plan using the deterioration state and the calculation condition Estimate and evaluate the degree of coincidence between each evaluation item received at the input unit and the estimated evaluation item at the time of the countermeasure plan. If the evaluation result is outside the range of the degree of coincidence, the countermeasure plan is corrected. A calculation unit that recalculates
An output unit for displaying a calculation result of the countermeasure plan,
The maintenance management support apparatus, wherein the output unit displays evaluation results of the plurality of evaluation items for each of the countermeasure plan and the corrected countermeasure plan. In claim 1, when the assumed countermeasure plan including the content and execution timing of the maintenance work is a maintenance plan that does not carry out the maintenance work within a predetermined period, and is outside the range of the degree of coincidence A maintenance management support apparatus characterized in that, as a plurality of countermeasure proposals to be corrected, a countermeasure proposal for appropriately changing the content and timing of maintenance work is provided.   The maintenance management support apparatus according to claim 1, wherein the countermeasure plan includes a plurality of preset countermeasure plans. The maintenance management according to claim 1, wherein the output unit displays an index representing accumulated cost, failure stop probability, and performance in a graph format, and displays one of the plurality of countermeasures as a recommended plan. Support device. A maintenance management support device display method for inspecting the deterioration state of the equipment constituting the plant and formulating a maintenance plan,
Accepting calculation conditions including the priority for each evaluation item, with the cumulative cost (LCC) when performing maintenance on the equipment constituting the plant, failure outage probability, and performance index as evaluation items ,
Measure the state signal in the plant,
Estimating the deterioration state of the equipment based on the state signal, assuming a countermeasure plan including the content and timing of maintenance work, the evaluation items at the time of the countermeasure plan using the deterioration state and the calculation condition Estimate and evaluate the degree of coincidence between each evaluation item received at the input unit and the estimated evaluation item at the time of the countermeasure plan. If the evaluation result is outside the range of the degree of coincidence, the countermeasure plan is corrected. Recalculate
A display method for a maintenance management support apparatus, comprising: displaying an evaluation result of the plurality of evaluation items for each of the countermeasure plan and the corrected countermeasure plan. 6. The accumulated cost according to claim 5, wherein the accumulated cost is calculated as a sum of an operation cost that shows a tendency to increase with respect to an operation time and an output of the equipment constituting the plant and a maintenance cost that increases with respect to the number of maintenance operations. ,
The failure stop probability calculates the possibility of failure stop that decreases with respect to the maintenance cost,
The display method of the maintenance management support apparatus, wherein the index representing the performance of the device calculates an index related to the capability of the target device that increases with respect to the maintenance cost.   7. The maintenance management support apparatus display method according to claim 6, wherein the evaluation result of the index representing the accumulated cost, the failure stop probability and the performance is displayed on the same graph.   In Claim 6, the priority and / or weight of the evaluation result with respect to the index indicating the accumulated cost, failure probability, and performance are received in advance, and the plurality of evaluations for the countermeasure proposal are based on the priority and / or weight. A display method for a maintenance management support apparatus, characterized in that an item is evaluated and the one with the highest degree of matching is displayed as a recommendation.   9. The correction plan for priority and / or weight of the evaluation result for the index indicating the accumulated cost, failure probability, and performance is received for the recalculated countermeasure plan and re-calculated based on the correction plan. A display method for a maintenance management support apparatus, characterized by displaying a calculated result.   7. The maintenance content and / or the implementation time correction plan included in the countermeasure plan according to claim 6, wherein the plurality of evaluation items are re-evaluated based on the correction plan, and the evaluation result is displayed again. The maintenance management support device display method. In a maintenance management support system that connects a maintenance management device provided on the plant side and a terminal device provided on the maintenance management company side via a network,
The provided maintenance support device according to the maintenance management apparatus in claim 1, the proposed measures including the content and implementation period of maintenance work evaluated degree of matching for a plurality of evaluation items, the evaluation result is coincidence degree If it is out of the range, the measure proposal is corrected and recalculated, and the evaluation result of the plurality of evaluation items is displayed for each of the measure plan and the corrected measure plan, and the optimum one is recommended. Display
A maintenance management support system, wherein after receiving an authentication result from the user for the evaluation result and the recommended plan, the recommended plan is transmitted to the terminal device. A maintenance management device that inspects the deterioration status of the equipment that makes up the air conditioning system and formulates a maintenance plan,
A maintenance management device for an air conditioning system, wherein the maintenance management support device according to claim 1 is applied. A maintenance management device display method that inspects the deterioration status of the devices that make up the air conditioning system and formulates a maintenance plan,
6. A display method for an air conditioning system maintenance management apparatus, wherein the display method for a maintenance management support apparatus according to claim 5 is applied. A maintenance management support system that inspects the deterioration status of the devices that make up the air conditioning system and formulates a maintenance plan,
12. A maintenance management support system for an air conditioning system, wherein the maintenance management support system according to claim 11 is applied.

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