Subway station operation and maintenance management system based on data processing

Abstract

The invention discloses a subway station operation and maintenance management system based on data processing, relates to the technical field of operation and maintenance management, and solves the technical problems that collection and analysis of operation and maintenance data are not systematic and comprehensive enough, effective support cannot be provided for operation and maintenance decisions, and the operation and maintenance efficiency and quality are difficult to improve. According to the invention, through automatic data acquisition and analysis, the information of the operation state and the operation and maintenance condition of the equipment can be rapidly obtained, and in the adaptive analysis unit, key maintenance signals are generated for fault causes with increased fault values, and normal maintenance signals are generated for fault causes with decreased fault values. According to the technical scheme, operation and maintenance resources can be more accurately input to needed places, meanwhile, the maintenance time is reasonably determined according to the invariant analysis signals, the operation state and fault reasons of equipment can be more accurately judged based on accurate analysis and processing of data, preventive maintenance and accurate maintenance are achieved, and therefore the operation and maintenance quality is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of operation and maintenance management, and in particular to a subway station operation and maintenance management system based on data processing. Background Art

[0002] With the rapid development of urban rail transit, the number and complexity of equipment in subway stations are increasing, and the difficulty of operation and maintenance management is also increasing.

[0003] According to publication number CN111563612A, a predictive operation and maintenance management method and system for subway station air conditioning is disclosed, which includes the following steps: obtaining sensor information and non-sensor information of the air conditioning system through a detection device and an information storage device, and uploading them to an edge node unit in real time; preprocessing the sensor information and non-sensor information respectively through the edge node unit to obtain preprocessed data; normalizing the first part of the preprocessed data; training and verifying the first part of the normalized data on the cloud server to obtain an information fusion model, a predictive maintenance model and a fault handling solution model; the edge node unit normalizes the second part of the preprocessed data in real time, predicts faults and determines the maintenance solution according to the information fusion model, the predictive maintenance model and the fault handling solution model; the edge node unit automatically performs maintenance on the air conditioning system according to the determined maintenance solution.

[0004] The above patent only provides operation and maintenance management for air conditioners, which is rather one-sided. Secondly, some existing operation and maintenance management systems, when in use, are not systematic and comprehensive in the collection and analysis of operation and maintenance data, and are unable to provide effective support for operation and maintenance decisions, making it difficult to improve operation and maintenance efficiency and quality. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides a subway station operation and maintenance management system based on data processing, which solves the problem that the collection and analysis of operation and maintenance data are not systematic and comprehensive enough, and cannot provide effective support for operation and maintenance decisions, making it difficult to improve operation and maintenance efficiency and quality.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: A subway station operation and maintenance management system based on data processing, comprising:

[0007] A data acquisition unit, used to transmit the acquired subway station equipment operation parameters to the operation parameter analysis unit, and transmit the operation and maintenance parameters to the operation and maintenance parameter analysis unit;

[0008] An operation parameter analysis unit is used to analyze the equipment operation parameters transmitted by the data acquisition unit, generate a normal parameter result and an abnormal parameter result by comparing the equipment operation parameters with normal parameters, analyze the normal parameter result to obtain an abnormal reason, analyze the abnormal parameter result to obtain a matching result, and transmit the abnormal reason and the matching result to the information output unit;

[0009] The operation and maintenance parameter analysis unit is used to analyze the acquired operation and maintenance parameters by calculating the operation and maintenance values ​​corresponding to the operation and maintenance records in the historical data, and judging the change of the operation and maintenance values ​​in the time period, and generating a change analysis signal and an unchanged analysis signal at the same time, and then transmitting the two to the adaptive analysis unit;

[0010] The adaptive analysis unit is used to analyze the change analysis signal, calculate the fault value of the fault cause in the operation and maintenance record, and generate a key maintenance signal and a normal maintenance signal according to the change of the fault value, analyze the unchanged analysis signal, analyze the time interval of the operation and maintenance record and calculate the maintenance time, and transmit the obtained maintenance time to the information output unit;

[0011] The information output unit is used to display the acquired change analysis signal, unchanged analysis signal, key maintenance signal, normal maintenance signal and maintenance time to the corresponding operator.

[0012] As a further solution of the present invention: the specific manner in which the operating parameter analysis unit analyzes the equipment operating parameters is:

[0013] Obtaining the equipment operating parameters and the equipment normal parameters at the same time, and comparing the equipment operating parameters with the equipment normal parameters;

[0014] If the operating parameters are different from the normal parameters of the equipment, an abnormal parameter result is generated. If the operating parameters are the same as the normal parameters of the equipment, a normal parameter result is generated.

[0015] As a further solution of the present invention: the specific method in which the operating parameter analysis unit analyzes the normal parameter result to obtain the abnormal cause is:

[0016] The corresponding abnormal parameters are obtained, and the corresponding abnormal causes are obtained based on the abnormal parameters, and abnormal cause information is generated, and then the abnormal cause information is transmitted to the information output unit.

[0017] As a further solution of the present invention: the specific method in which the operating parameter analysis unit analyzes the parameter abnormality result to obtain the abnormality cause is:

[0018] Obtain the equipment operating parameters and the corresponding historical data, monitor the equipment operating parameters with a time period of t, obtain the change value of the equipment operating parameters within time t, match the change value with the historical data, generate a matching result, and then transmit the matching result to the information output unit.

[0019] As a further solution of the present invention: the specific method in which the operation and maintenance parameter analysis unit calculates the operation and maintenance value corresponding to the operation and maintenance record in the historical data is:

[0020] Obtain historical data, then obtain the operation and maintenance records in the historical data and label them as i, where i = 1, 2, ..., j, where j represents the number of operation and maintenance records. At the same time, obtain the maintenance time corresponding to the operation and maintenance record i and record it as Ti, and obtain the fault level value corresponding to the operation and maintenance record i and record it as Gi and the operation and maintenance time interval value as Ki. Then substitute the obtained parameters into the formula The operation and maintenance value Si corresponding to the operation and maintenance record i is calculated, where θ is a preset proportional coefficient, and the specific value is set by the operator. Similarly, the operation and maintenance values ​​of all operation and maintenance records i are calculated.

[0021] As a further solution of the present invention: the specific manner in which the operation and maintenance parameter change analysis unit determines the change of the operation and maintenance value in the time period and generates different signals is:

[0022] The historical data is segmented with time T as the period to obtain multiple periodic time periods, denoted as a, and a=1, 2, ..., b, where b represents the number of periodic time periods. The operation and maintenance values ​​of all operation and maintenance records in the periodic time period a are obtained, and the operation and maintenance mean is calculated and denoted as Sa. Then, the change of the operation and maintenance mean is analyzed. If the operation and maintenance mean increases, a change analysis signal is generated. Otherwise, if the operation and maintenance mean remains unchanged, an unchanged analysis signal is generated.

[0023] As a further solution of the present invention: the specific manner in which the adaptive analysis unit analyzes the change analysis signal is:

[0024] Obtain all operation and maintenance records in the historical data, and at the same time obtain the fault causes in the operation and maintenance records, and classify the fault causes into the same type according to the fault type to obtain the same type of fault causes, then obtain any fault cause of the same type and record it as the analysis object, and label the fault causes in the analysis object as o, and o = 1, 2, ..., p, where p represents the order of occurrence of the fault cause, and at the same time obtain the total number of fault causes o in the analysis object and record it as H, and obtain the maintenance time corresponding to the fault cause o and record it as Yo, then obtain the occurrence time interval Jo corresponding to the fault cause o, and substitute the obtained parameters into the formula The fault value Ro corresponding to the fault cause o is calculated, where σ is the preset proportional coefficient, and the specific value is set by the operator;

[0025] Similarly, the fault values ​​of all fault causes are calculated, and the fault causes corresponding to the increase in fault values ​​are marked in chronological order, and a key maintenance signal is generated at the same time. The fault causes corresponding to the decrease in fault values ​​are marked, and a normal maintenance signal is generated at the same time. The generated key maintenance signal and normal maintenance signal are transmitted to the information output unit.

[0026] As a further solution of the present invention: the specific manner in which the adaptive analysis unit analyzes the change analysis signal is:

[0027] The operation and maintenance records corresponding to the unchanged cloud and fog mean values ​​in the historical data are obtained and recorded as the operation and maintenance records to be analyzed. At the same time, the time intervals of the operation and maintenance records to be analyzed are obtained, and it is determined whether the time intervals of the operation and maintenance records to be analyzed are the same. If the time intervals are the same, the maintenance time is generated based on the corresponding time intervals. If the time intervals are not the same, the mean of all time intervals is calculated, and the calculated mean is used as the maintenance time. At the same time, the generated maintenance time is transmitted to the information output unit.

[0028] The present invention provides a subway station operation and maintenance management system based on data processing. Compared with the prior art, it has the following beneficial effects:

[0029] Through automated data collection and analysis, the present invention can quickly obtain information on the operating status and operation and maintenance status of the equipment, thereby improving the response speed and processing efficiency of the operation and maintenance work. In the adaptive analysis unit, a key maintenance signal is generated for the fault cause with an increased fault value, and a normal maintenance signal is generated for the fault cause with a decreased fault value, so that operation and maintenance resources can be more accurately invested in where they are needed. At the same time, the maintenance time is reasonably determined according to the invariant analysis signal, and the arrangement of human resources is also optimized. Based on the precise analysis and processing of data, the operating status and fault cause of the equipment can be judged more accurately, preventive maintenance and precise repair can be achieved, and the reliability and stability of the equipment are improved, thereby improving the quality of operation and maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 This is a block diagram of the system principle of the present invention;

[0031] Figure 2 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] See also Figure 1 and Figure 2 The present application provides a subway station operation and maintenance management system based on data processing, including: a data acquisition unit, an operation parameter analysis unit, an operation and maintenance parameter analysis unit, an adaptive analysis unit and an information output unit, and at the same time, in combination with the attached Figure 1 It can be known that all functional units are electrically connected in one direction.

[0034] A data acquisition unit is used to obtain the equipment operating parameters and operation and maintenance parameters of the subway station. The equipment operating parameters here include a series of parameters such as voltage, current and electric power, while the operation and maintenance parameters include parameters such as the maintenance time, maintenance reason and maintenance time interval of the corresponding equipment. At the same time, the acquired equipment operating parameters are transmitted to the operation parameter analysis unit, and the operation and maintenance parameters are transmitted to the operation and maintenance parameter analysis unit.

[0035] Embodiment 1, as embodiment 1 of the present invention, the specific implementation process is as follows:

[0036] The operating parameter analysis unit is used to analyze the equipment operating parameters transmitted by the data acquisition unit, and the specific analysis method is as follows:

[0037] Get the equipment operation parameters and the normal parameters of the equipment at the same time. The normal parameters here refer to the equipment parameters corresponding to the normal operation of the subway station equipment. The specific normal working conditions are set by the operator. Compare the equipment operation parameters with the normal parameters of the equipment, and the normal parameters of the equipment are interval values. If the operation parameters are different from the normal parameters of the equipment, and the difference indicates that the equipment operation parameters do not exist in the interval value, then a parameter abnormality result is generated. If the operation parameters are the same as the normal parameters of the equipment, then a parameter normal result is generated.

[0038] The generated parameter abnormality results are analyzed to obtain the corresponding abnormal parameters, and the corresponding abnormal causes are obtained based on the abnormal parameters, and the abnormal cause information is generated, and then the abnormal cause information is transmitted to the information output unit. For example, in the power system monitoring of the subway station, the system detects that the voltage parameters are abnormal. First, this abnormal result is analyzed to determine the specific voltage parameter value of the abnormality. Then, based on this abnormal voltage parameter, combined with the operation logic and historical data of the power system, it is judged that the voltage abnormality may be caused by a specific equipment failure (such as a transformer failure).

[0039] The generated normal parameter results are analyzed to obtain the equipment operating parameters and the corresponding historical data, and the equipment operating parameters are monitored with a time period of t to obtain the change value of the equipment operating parameters within time t. At the same time, the change value is matched with the historical data, and a matching result is generated, which is then transmitted to the information output unit.

[0040] For example, in the ventilation system of a subway station, the operating parameters of the fan are monitored. After obtaining the normal results of the fan parameters, the current fan speed, air volume and other operating parameters and historical data of the past period of time are analyzed, and the time t is set to 1 hour. During this 1 hour, the changes in the fan operating parameters are continuously monitored, and the change value of the speed is increased by 5 revolutions per minute, and the change value of the air volume is increased by 1000 cubic meters per hour. These change values ​​are matched with the normal change range in the same time period in the historical data. Assuming that the normal change range of the speed in the historical data during this time period is ±3 revolutions per minute, and the normal change range of the air volume is ±800 cubic meters per hour, the speed change monitored this time exceeds the normal range, while the air volume change is within the normal range.

[0041] An information output unit is used to display the obtained matching results and abnormality cause information to the corresponding operator.

[0042] Embodiment 2, as Embodiment 2 of the present invention, is implemented on the basis of Embodiment 1, and differs from Embodiment 1 in that:

[0043] The operation and maintenance parameter analysis unit is used to analyze the operation and maintenance parameters transmitted by the data acquisition unit and to conduct a comprehensive analysis in combination with historical data. The specific analysis method is as follows:

[0044] Obtain historical data, then obtain the operation and maintenance records in the historical data and label them as i, and i=1, 2, ..., j, where j represents the number of operation and maintenance records, and obtain the maintenance time corresponding to the operation and maintenance record i as Ti, and the maintenance time here represents the time for inspecting the subway station equipment, and obtain the fault level value corresponding to the operation and maintenance record i as Gi and the operation and maintenance time interval value as Ki, and the fault level value is obtained by assigning different fault levels, for example, the fault level is classified from small to large into level one, level two and level three, and they are assigned values ​​of 1, 2 and 3 respectively, and the operation and maintenance time interval value represents the time interval between two adjacent operation and maintenance times, and then substitute the obtained parameters into the formula Calculate the operation and maintenance value Si corresponding to the operation and maintenance record i, where θ is the preset proportional coefficient, and the specific value is set by the operator. Similarly, calculate the operation and maintenance values ​​of all operation and maintenance records i;

[0045] Then, the historical data is segmented with time T as a period to obtain multiple periodic time periods, denoted as a, and a=1, 2, ..., b, where b represents the number of periodic time periods, the operation and maintenance values ​​of all operation and maintenance records in the periodic time period a are obtained, and the operation and maintenance mean is calculated and denoted as Sa, and then the change of the operation and maintenance mean is analyzed. If the operation and maintenance mean is an increasing change, a change analysis signal is generated. Otherwise, if the operation and maintenance mean is unchanged, an unchanged analysis signal is generated. At the same time, the obtained change analysis signal and the unchanged analysis signal are transmitted to the adaptive analysis unit.

[0046] In a specific example, for example, in the elevator operation and maintenance management of a subway station, the historical data is segmented with a time period of one month T, assuming that there are one year of historical operation and maintenance parameters, that is, b = 12. In the first cycle time period a = 1 (i.e., the first month), all the operation and maintenance records of the elevator in that month are collected, such as the number of elevator maintenance, maintenance time, fault type and other information, and a comprehensive operation and maintenance value is calculated based on this information, and then the operation and maintenance values ​​of all relevant operation and maintenance records are averaged to obtain the operation and maintenance mean S1. In the second month (a = 2), the above operation is also performed to obtain S2, and so on. When comparing S1 and S2, if S2 is greater than S1, it means that the operation and maintenance mean has increased, and a change analysis signal will be generated at this time.

[0047] The adaptive analysis unit is used to process the acquired change analysis signal and the unchanged analysis signal.

[0048] The specific method of analyzing the change analysis signal is as follows:

[0049] Obtain all operation and maintenance records in the historical data, and at the same time obtain the fault causes in the operation and maintenance records, and classify the fault causes into the same type according to the fault type to obtain the same type of fault causes, then obtain any fault cause of the same type and record it as the analysis object. Here, one of the fault causes is analyzed, and the analysis method for other fault causes is similar to the analysis method for the analysis object, and the fault causes in the analysis object are labeled as o, and o = 1, 2, ..., p, where p represents the order of occurrence of the fault cause. At the same time, obtain the total number of fault causes o in the analysis object and record it as H, and obtain the maintenance time corresponding to the fault cause o and record it as Yo, then obtain the occurrence time interval Jo corresponding to the fault cause o, and substitute the obtained parameters into the formula The fault value Ro corresponding to the fault cause o is calculated, where σ is the preset proportional coefficient, and the specific value is set by the operator;

[0050] Similarly, the fault values ​​of all fault causes are calculated, and the fault causes corresponding to the increase of the fault values ​​are marked in chronological order, and a key maintenance signal is generated at the same time, and the fault causes corresponding to the decrease of the fault values ​​are marked, and a normal maintenance signal is generated at the same time, and the generated key maintenance signal and normal maintenance signal are transmitted to the information output unit. Specifically, different colors are used to mark the fault causes of the increase of the fault value and the fault causes of the decrease of the fault value, for example, the increase of the fault value can be marked with a red marking method, and the decrease of the fault value can be marked with a blue marking method.

[0051] The specific method of analyzing the invariant analysis signal is as follows:

[0052] The operation and maintenance records corresponding to the unchanged cloud and fog mean values ​​in the historical data are obtained and recorded as the operation and maintenance records to be analyzed. At the same time, the time intervals of the operation and maintenance records to be analyzed are obtained, and it is determined whether the time intervals of the operation and maintenance records to be analyzed are the same. The operation and maintenance records to be analyzed here are determined by comparing the time intervals of all the operation and maintenance records to be analyzed. If the time intervals are the same, the maintenance time is generated based on the corresponding time interval. If the time intervals are not the same, the average of all time intervals is calculated, and the calculated average is used as the maintenance time. At the same time, the generated maintenance time is transmitted to the information output unit.

[0053] An information output unit is used to display the acquired maintenance time, key maintenance signal and normal maintenance signal to the corresponding operator.

[0054] Embodiment 3, as the embodiment 3 of the present invention, focuses on combining the implementation processes of embodiment 1 and embodiment 2.

[0055] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0056] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. The subway station operation and maintenance management system based on data processing is characterized by: include: A data acquisition unit, used to transmit the acquired subway station equipment operation parameters to the operation parameter analysis unit, and transmit the operation and maintenance parameters to the operation and maintenance parameter analysis unit; An operation parameter analysis unit is used to analyze the equipment operation parameters transmitted by the data acquisition unit, generate a normal parameter result and an abnormal parameter result by comparing the equipment operation parameters with normal parameters, analyze the normal parameter result to obtain an abnormal reason, analyze the abnormal parameter result to obtain a matching result, and transmit the abnormal reason and the matching result to the information output unit; The operation and maintenance parameter analysis unit is used to analyze the acquired operation and maintenance parameters by calculating the operation and maintenance values ​​corresponding to the operation and maintenance records in the historical data, and judging the change of the operation and maintenance values ​​in the time period, and generating a change analysis signal and an unchanged analysis signal at the same time, and then transmitting the two to the adaptive analysis unit; The adaptive analysis unit is used to analyze the change analysis signal, calculate the fault value of the fault cause in the operation and maintenance record, and generate a key maintenance signal and a normal maintenance signal according to the change of the fault value, analyze the unchanged analysis signal, analyze the time interval of the operation and maintenance record and calculate the maintenance time, and transmit the obtained maintenance time to the information output unit; The information output unit is used to display the acquired change analysis signal, unchanged analysis signal, key maintenance signal, normal maintenance signal and maintenance time to the corresponding operator.

2. The subway station operation and maintenance management system based on data processing according to claim 1 is characterized in that: The specific method in which the operating parameter analysis unit analyzes the equipment operating parameters is as follows: Obtaining the equipment operating parameters and the equipment normal parameters at the same time, and comparing the equipment operating parameters with the equipment normal parameters; If the operating parameters are different from the normal parameters of the equipment, an abnormal parameter result is generated. If the operating parameters are the same as the normal parameters of the equipment, a normal parameter result is generated.

3. The subway station operation and maintenance management system based on data processing according to claim 1 is characterized in that: The specific method in which the operating parameter analysis unit analyzes the normal parameter result to obtain the abnormal cause is: The corresponding abnormal parameters are obtained, and the corresponding abnormal causes are obtained based on the abnormal parameters, and abnormal cause information is generated, and then the abnormal cause information is transmitted to the information output unit.

4. The subway station operation and maintenance management system based on data processing according to claim 1 is characterized in that: The specific method in which the operating parameter analysis unit analyzes the parameter abnormality result to obtain the abnormality cause is: Obtain the equipment operating parameters and the corresponding historical data, monitor the equipment operating parameters with a time period of t, obtain the change value of the equipment operating parameters within time t, match the change value with the historical data, generate a matching result, and then transmit the matching result to the information output unit.

5. The subway station operation and maintenance management system based on data processing according to claim 1 is characterized in that: The specific method in which the operation and maintenance parameter analysis unit calculates the operation and maintenance value corresponding to the operation and maintenance record in the historical data is: Obtain historical data, then obtain the operation and maintenance records in the historical data and label them as i, where i = 1, 2, ..., j, where j represents the number of operation and maintenance records. At the same time, obtain the maintenance time corresponding to the operation and maintenance record i and record it as Ti, and obtain the fault level value corresponding to the operation and maintenance record i and record it as Gi and the operation and maintenance time interval value as Ki. Then substitute the obtained parameters into the formula The operation and maintenance value Si corresponding to the operation and maintenance record i is calculated, where θ is a preset proportional coefficient, and the specific value is set by the operator. Similarly, the operation and maintenance values ​​of all operation and maintenance records i are calculated.

6. The subway station operation and maintenance management system based on data processing according to claim 1 is characterized in that: The specific method for the operation and maintenance parameter change analysis unit to judge the change of the operation and maintenance value in the time period and generate different signals is: The historical data is segmented with time T as the period to obtain multiple periodic time periods, denoted as a, and a=1, 2, ..., b, where b represents the number of periodic time periods. The operation and maintenance values ​​of all operation and maintenance records in the periodic time period a are obtained, and the operation and maintenance mean is calculated and denoted as Sa. Then, the change of the operation and maintenance mean is analyzed. If the operation and maintenance mean increases, a change analysis signal is generated. Otherwise, if the operation and maintenance mean remains unchanged, an unchanged analysis signal is generated.

7. The subway station operation and maintenance management system based on data processing according to claim 1 is characterized in that: The specific method in which the adaptive analysis unit analyzes the change analysis signal is as follows: Obtain all operation and maintenance records in the historical data, and at the same time obtain the fault causes in the operation and maintenance records, and classify the fault causes into the same type according to the fault type to obtain the same type of fault causes, then obtain any fault cause of the same type and record it as the analysis object, and label the fault causes in the analysis object as o, and o = 1, 2, ..., p, where p represents the order of occurrence of the fault cause, and at the same time obtain the total number of fault causes o in the analysis object and record it as H, and obtain the maintenance time corresponding to the fault cause o and record it as Yo, then obtain the occurrence time interval Jo corresponding to the fault cause o, and substitute the obtained parameters into the formula The fault value Ro corresponding to the fault cause o is calculated, where σ is the preset proportional coefficient, and the specific value is set by the operator; Similarly, the fault values ​​of all fault causes are calculated, and the fault causes corresponding to the increase in fault values ​​are marked in chronological order, and a key maintenance signal is generated at the same time. The fault causes corresponding to the decrease in fault values ​​are marked, and a normal maintenance signal is generated at the same time. The generated key maintenance signal and normal maintenance signal are transmitted to the information output unit.

8. The subway station operation and maintenance management system based on data processing according to claim 1 is characterized in that: The specific method in which the adaptive analysis unit analyzes the change analysis signal is as follows: The operation and maintenance records corresponding to the unchanged cloud and fog mean values ​​in the historical data are obtained and recorded as the operation and maintenance records to be analyzed. At the same time, the time intervals of the operation and maintenance records to be analyzed are obtained, and it is determined whether the time intervals of the operation and maintenance records to be analyzed are the same. If the time intervals are the same, the maintenance time is generated based on the corresponding time intervals. If the time intervals are not the same, the mean of all time intervals is calculated, and the calculated mean is used as the maintenance time. At the same time, the generated maintenance time is transmitted to the information output unit.

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