Subway station operation and maintenance management system based on data processing

Abstract

The present invention discloses a subway station operation and maintenance management system based on data processing. The present invention relates to the field of operation and maintenance management technology, and solves the technical 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. The present invention can quickly obtain information on the operating status and operation and maintenance status of equipment through automated data collection and analysis. 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. Based on the precise analysis and processing of data, the operating status and fault cause of the equipment can be judged more accurately, and preventive maintenance and precise repair can be achieved, thereby improving the quality of operation and maintenance.

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 a maintenance solution based on 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 are not systematic and comprehensive in collecting and analyzing operation and maintenance data when in use, 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 response to the shortcomings of the existing technology, 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 decision-making, 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] The data acquisition unit is used to transmit the acquired subway station equipment operating parameters to the operating parameter analysis unit, and transmit the operation and maintenance parameters to the operation and maintenance parameter analysis unit;

[0008] An operating parameter analysis unit is used to analyze the equipment operating parameters transmitted by the data acquisition unit, generate normal parameter results and abnormal parameter results by comparing the equipment operating parameters with normal parameters, analyze the normal parameter results to obtain abnormal causes, analyze the abnormal parameter results to obtain matching results, and transmit the abnormal causes and matching results 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 changes of the operation and maintenance values ​​in the time period. At the same time, it generates a change analysis signal and an unchanged analysis signal, and then transmits the two to the adaptive analysis unit;

[0010] An 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 device operating parameters and the device normal parameters at the same time, and comparing the device operating parameters with the device normal parameters;

[0014] If the operating parameters are different from the normal parameters of the device, a parameter abnormality result is generated. If the operating parameters are the same as the normal parameters of the device, a parameter normal 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 results 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 the time period 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 operation and maintenance parameter analysis unit calculates the operation and maintenance value corresponding to the operation and maintenance record in the historical data in the following specific manner:

[0020] 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. 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 the 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. Conversely, 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 as H, and obtain the maintenance time corresponding to the fault cause o as Yo, then obtain the occurrence time interval Jo corresponding to the fault cause o, and substitute the obtained parameters into the formula Calculate the fault value Ro corresponding to the fault cause o, 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 increased fault values ​​are marked in chronological order, and a key maintenance signal is generated at the same time. The fault causes corresponding to decreased 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 different, 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 existing technology, it has the following advantages:

[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 clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0033] See also Figure 1 and Figure 2 This 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 combines the attached Figure 1 It can be seen that all functional units are electrically connected in one direction.

[0034] The 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] Example 1, as Example 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] Obtain the equipment operating parameters and the equipment normal parameters at the same time. The normal parameters here refer to the equipment parameters corresponding to the subway station equipment under normal operation. The specific normal working conditions are set by the operator. Compare the equipment operating parameters with the equipment normal parameters, and the equipment normal parameters are interval values. If the operating parameters are different from the equipment normal parameters, and the difference indicates that the equipment operating parameters do not exist in the interval value, then a parameter abnormality result is generated. If the operating parameters are the same as the equipment normal parameters, then a parameter normal result is generated.

[0038] The generated parameter anomaly results are analyzed to obtain the corresponding abnormal parameters. Based on the abnormal parameters, the corresponding abnormal causes are obtained, and abnormal cause information is generated. This abnormal cause information is then transmitted to the information output unit. For example, during power system monitoring at a subway station, the system detects an abnormal voltage parameter. 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 power system's operating logic and historical data, it is determined 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 time t as a period 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, and then the matching result is 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 normal results for the fan parameters, the current fan operating parameters such as speed and air volume are analyzed, along with historical data from the past period. A time period t is set to 1 hour, and changes in the fan operating parameters are continuously monitored during this hour. The change in speed is found to be an increase of 5 revolutions per minute, and the change in air volume is an increase of 1000 cubic meters per hour. These changes are then matched with the normal range of changes in the historical data for the same time period. Assuming that the normal range of speed changes in the historical data for this time period is ±3 revolutions per minute, and the normal range of air volume changes 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] The information output unit is used to display the obtained matching results and abnormality cause information to the corresponding operator.

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

[0043] The operation and maintenance parameter analysis unit is used to analyze the operation and maintenance parameters transmitted by the data acquisition unit and 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 the cycle 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. Conversely, if the operation and maintenance mean remains unchanged, an unchanged analysis signal is generated. At the same time, the obtained change analysis signal and unchanged analysis signal are transmitted to the adaptive analysis unit.

[0046] In a specific example, for example, in the operation and maintenance management of elevators at a subway station, historical data is segmented into one-month time periods T. Assuming there are one year of historical operation and maintenance parameters, i.e., b = 12. During the first period a = 1 (i.e., the first month), all elevator operation and maintenance records for that month are collected, such as the number of elevator repairs, maintenance duration, and fault type. Based on this information, a comprehensive operation and maintenance value is calculated. The operation and maintenance values ​​of all relevant operation and maintenance records are then averaged to obtain the operation and maintenance mean S1. In the second month (a = 2), the same operation is repeated to obtain S2, and so on. When S1 and S2 are compared, if S2 is greater than S1, it indicates that the operation and maintenance mean has increased, and a change analysis signal is generated.

[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 Calculate the fault value Ro corresponding to the fault cause o, 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 fault causes corresponding to increasing fault values ​​are marked in chronological order. A key maintenance signal is generated, and fault causes corresponding to decreasing fault values ​​are marked. A normal maintenance signal is generated, and the generated key maintenance signal and normal maintenance signal are transmitted to the information output unit. Specifically, different colors are used to mark fault causes with increasing fault values ​​and fault causes with decreasing fault values. For example, increasing fault values ​​can be marked in red, while decreasing fault values ​​can be marked in blue.

[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 different, 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] The 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 third embodiment 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 and are not intended to limit the present invention. 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: The data acquisition unit is used to transmit the acquired subway station equipment operating parameters to the operating parameter analysis unit, and transmit the operation and maintenance parameters to the operation and maintenance parameter analysis unit; An operating parameter analysis unit is configured to analyze the device operating parameters transmitted by the data acquisition unit, generate normal parameter results and abnormal parameter results by comparing the device operating parameters with normal parameters, analyze the abnormal parameter results to obtain the abnormal cause, analyze the normal parameter results to obtain a matching result, and transmit the abnormal cause and 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 changes in the operation and maintenance values ​​in the time period. At the same time, it generates a change analysis signal and an unchanged analysis signal, and transmits both to the adaptive analysis unit. The specific method of calculating the operation and maintenance values ​​corresponding to the operation and maintenance records in the historical data by the operation and maintenance parameter analysis unit is as follows: 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. 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 Calculate the operation and maintenance value Si corresponding to the operation and maintenance record i, where is the preset proportional coefficient, the specific value is set by the operator, and so on, the operation and maintenance values ​​of all operation and maintenance records i are calculated; An 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 for the operating parameter analysis unit to analyze the equipment operating parameters is: Obtaining the device operating parameters and the device normal parameters at the same time, and comparing the device operating parameters with the device normal parameters; If the operating parameters are different from the normal parameters of the device, a parameter abnormality result is generated. If the operating parameters are the same as the normal parameters of the device, a parameter normal 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 for the operating parameter analysis unit to analyze the parameter abnormality result and obtain the abnormality 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 for the operating parameter analysis unit to analyze the normal parameter result to obtain the matching result 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 the time period 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 manner in which the operation and maintenance parameter analysis unit determines the change of the operation and maintenance value in the time period and generates 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. Conversely, if the operation and maintenance mean remains unchanged, an unchanged analysis signal is generated.

6. 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 obtain the fault causes in the operation and maintenance records at the same time, 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 obtain the total number of times corresponding to the fault cause o in the analysis object as H, and obtain the maintenance time corresponding to the fault cause o as Yo, then obtain the occurrence time interval Jo corresponding to the fault cause o, and substitute the obtained parameters into the formula Calculate the fault value Ro corresponding to the fault cause o, where It is a 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 increased fault values ​​are marked in chronological order, and a key maintenance signal is generated at the same time. The fault causes corresponding to decreased 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.

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 invariant analysis signal is as follows: The operation and maintenance records corresponding to the unchanged operation and maintenance mean 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 interval. 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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