CN118096132B - Public energy consumption equipment operation and maintenance management system suitable for intelligent park - Google Patents
Public energy consumption equipment operation and maintenance management system suitable for intelligent park Download PDFInfo
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Abstract
The invention belongs to the technical field of public energy consumption equipment supervision, in particular to a public energy consumption equipment operation and maintenance management system suitable for an intelligent park, which comprises a server, an operation monitoring module, a fault analysis module, an operation and maintenance management module and a public area calibration module; according to the invention, the operation monitoring module is used for collecting the operation data of the corresponding public energy consumption equipment, the fault analysis module is used for analyzing the operation state of the corresponding public energy consumption equipment, if the corresponding public energy consumption is abnormal, the early warning information is generated, the faults of the public energy consumption equipment can be found and processed in time, the operation and maintenance efficiency and the service life of the public energy consumption equipment are improved, the corresponding area is marked as a strong management area or a weak management area through the analysis of the public area calibration module, the scheme planning difficulty of the operation and maintenance management of each area is reduced, the scheme planning rationality is improved, the operation and maintenance management efficiency and the operation and maintenance management effect of each area are ensured, and the intelligent degree is high.
Description
Technical Field
The invention relates to the technical field of public energy consumption equipment supervision, in particular to a public energy consumption equipment operation and maintenance management system suitable for an intelligent park.
Background
Public energy consuming devices refer to devices commonly used and consuming energy by a plurality of users in a public area, which are mainly used to provide public services or to meet public demands such as lighting, heating, ventilation, air conditioning, elevators, etc., which are generally installed in public buildings, residential communities, commercial complexes, etc., to meet the energy demands of the entire area or building;
Operation and maintenance management is needed in the operation process of the public energy consumption equipment, at present, operation abnormality of the corresponding public energy consumption equipment is difficult to reasonably judge, operation and maintenance personnel can be timely arranged to perform operation and maintenance treatment on the public energy consumption equipment, operation and maintenance management difficulty analysis can not be performed on the corresponding public energy consumption equipment, operation and maintenance management schemes of all public areas can not be reasonably planned, safe and stable operation of the public energy consumption equipment in all areas can not be guaranteed, and the intelligent degree is low;
In view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to provide an operation and maintenance management system for public energy consumption equipment, which is suitable for an intelligent park and solves the problems that in the prior art, operation abnormality of corresponding public energy consumption equipment is difficult to reasonably judge, operation and maintenance of the corresponding public energy consumption equipment are performed by operation and maintenance personnel in time, operation and maintenance management difficulty analysis can not be performed on the corresponding public energy consumption equipment, operation and maintenance management schemes of each public area are reasonably planned, and the intelligent degree is low.
In order to achieve the above purpose, the present invention provides the following technical solutions:
The utility model provides a public energy consumption equipment operation and maintenance management system suitable for wisdom garden, includes server, operation monitoring module, trouble analysis module, operation and maintenance management module and public region calibration module; the operation monitoring module is used for carrying out real-time operation monitoring on public energy consumption equipment to be monitored, acquiring operation data of the corresponding public energy consumption equipment, and sending the operation data of the corresponding public energy consumption equipment to the fault analysis module through the server;
The fault analysis module performs data cleaning and integration on the operation data of the public energy consumption equipment, analyzes the operation state of the corresponding public energy consumption equipment through a preset fault early warning algorithm, and generates early warning information and sends the early warning information to the operation and maintenance management module through the server if the corresponding public energy consumption is judged to be abnormal;
When receiving corresponding early warning information, the operation and maintenance management module determines corresponding operation and maintenance management personnel based on the positions of the corresponding public energy consumption equipment, and sends the corresponding early warning information to an intelligent terminal of the corresponding operation and maintenance management personnel, and the operation and maintenance management personnel timely operate and maintain the corresponding public energy consumption equipment;
The public area calibration module is used for acquiring an area needing to be supervised by public energy consumption equipment, marking a corresponding area as a management area i, wherein i is a natural number larger than 1, marking the management area i as a strong management area or a weak management area through analysis, and sending marking information of the management area i to the server.
Further, the specific analysis process of the public area calibration module is as follows:
Collecting the area of a management area i, marking the area as a pipe surface value, collecting the number of public energy consumption equipment required to be managed in the management area i, marking the public energy consumption equipment as a pipe table value, obtaining marking information of all public energy consumption equipment, calculating the ratio of the number of difficult pipe equipment in the management area i to the pipe table value to obtain a difficult pipe detection value, calculating the pipe surface value, the pipe table value and the difficult pipe detection value to obtain an area calibration coefficient, comparing the area calibration coefficient with a preset area calibration coefficient threshold value in a numerical mode, and marking the management area i as a strong management area if the area calibration coefficient exceeds the preset area calibration coefficient threshold value; and if the region calibration coefficient does not exceed the preset region calibration coefficient threshold value, marking the management region i as a weak management region.
Furthermore, the public area calibration module is in communication connection with the management difficulty detection module, the management difficulty detection module analyzes the management difficulty of the corresponding public energy consumption equipment, marks the corresponding public energy consumption equipment as difficult-to-manage equipment or easy-to-manage equipment through the management difficulty analysis, and sends marking information of the corresponding public energy consumption equipment to the public area calibration module.
Further, the specific analysis process of the management difficulty analysis is as follows:
Acquiring the production date of the corresponding public energy consumption equipment, marking the interval time between the current date and the production date as production time, acquiring the running total time of the corresponding public energy consumption equipment in the production time, acquiring the periodic operation evaluation value of the corresponding public energy consumption equipment through periodic evaluation analysis, carrying out numerical calculation on the periodic operation evaluation value, the production time and the running total time to obtain a management condition value, carrying out numerical comparison on the management condition value and a corresponding preset management condition threshold value, and marking the corresponding public energy consumption equipment as difficult-to-manage equipment if the management condition value exceeds the preset management condition threshold value; and if the management condition detection value does not exceed the preset management condition detection threshold value, marking the corresponding public energy consumption equipment as manageable equipment.
Further, the specific analysis procedure of the cycle evaluation analysis is as follows:
Setting an evaluation period, collecting all early warning information generated by corresponding public energy consumption equipment in the evaluation period, acquiring all anomalies generated by the corresponding public energy consumption equipment in the evaluation period based on all early warning information, classifying all the anomalies, marking the occurrence times of the anomalies of the corresponding types as anomaly occurrence values, presetting a group of preset anomaly weight values corresponding to each type of anomalies respectively, multiplying the anomaly occurrence values of the anomalies of the corresponding types by the matched preset anomaly weight values to obtain anomaly weight values, and summing the anomaly weight values of the anomalies of the all types to obtain an anomaly comprehensive evaluation value;
And acquiring single duration of stopping operation of the corresponding public energy consumption equipment due to abnormality, comparing the single duration with a corresponding preset single duration threshold value, marking the number of the single durations exceeding the preset single duration threshold value in an evaluation period as a single duration frequency value, summing all the single durations in the evaluation period to obtain a temporary operation condition value, and calculating the numerical value of the heterogeneous comprehensive evaluation value, the single duration frequency value and the temporary operation condition value to obtain a periodic operation evaluation value.
Further, the server is in communication connection with the area management evaluation module, the server sends the strong management area to the area management evaluation module, the area management evaluation module takes the current date as the starting date and sets a management monitoring period with the number of days being L1, the management performance condition of the corresponding strong management area in the management monitoring period is analyzed, a management table abnormal signal or a management table normal signal of the corresponding strong management area is generated through analysis, and the management table normal signal or the management table abnormal signal of the corresponding strong management area is sent to the server.
Further, the specific analysis process of the area management evaluation module is as follows:
Acquiring the number of operation and maintenance management personnel for operation and maintenance management of a corresponding strong management area, marking an operation and maintenance personnel detection value, acquiring the number of on-Shift real-time people for operation and maintenance management of the corresponding strong management area, comparing the number of the on-Shift real-time people with a corresponding preset on-Shift real-time people threshold value, and judging that the corresponding moment is in an operation and maintenance non-easy state if the number of the on-Shift real-time people does not exceed the preset on-Shift real-time people threshold value;
Collecting the total duration of the operation and maintenance non-easy state of the corresponding strong management area in the management and monitoring period, marking the total duration as an operation and maintenance non-easy time condition value, marking the single duration of each operation and maintenance non-easy state as an operation and maintenance single-maintenance value, comparing the operation and maintenance single-maintenance value with a preset operation and maintenance single-maintenance threshold value in a numerical value, and marking the number of the operation and maintenance single-maintenance values exceeding the preset operation and maintenance single-maintenance threshold value as the operation and maintenance non-easy condition value;
The personnel evaluation values of the corresponding strong management areas are obtained through personnel progressive evaluation analysis, the regional pipe table analysis values are obtained through numerical calculation of the personnel evaluation values, the operation and maintenance personnel inspection values, the operation and maintenance non-easy time condition values and the operation and maintenance non-easy amplitude condition values, the regional pipe table analysis values are compared with preset regional pipe table analysis thresholds in numerical mode, and if the regional pipe table analysis values exceed the preset regional pipe table analysis thresholds, pipe table abnormal signals of the corresponding strong management areas are generated; if the regional pipe table analysis value does not exceed the preset regional pipe table analysis threshold, generating a pipe table normal signal of the corresponding strong management region.
Further, the specific analysis process of the personnel progressive evaluation analysis is as follows:
Collecting the total times of operation and maintenance of the public energy consumption equipment by the corresponding operation and maintenance manager in a history stage, marking the total times as operation and maintenance minor condition values, and collecting the working time of the operation and maintenance manager in the operation and maintenance post of the public energy consumption equipment and marking the working time as operation and maintenance minor condition values; carrying out numerical calculation on the operation and maintenance sub-condition value and the operation and maintenance time condition value to obtain an operation and maintenance experience value, carrying out numerical comparison on the operation and maintenance experience value and a preset operation and maintenance experience threshold value, and marking the corresponding operation and maintenance manager as a low-quality operation and maintenance manager if the operation and maintenance experience value does not exceed the preset operation and maintenance experience threshold value;
if the operation and maintenance experience value exceeds a preset operation and maintenance experience threshold value, collecting the occurrence times of error operation when corresponding operation and maintenance managers conduct operation and maintenance on the corresponding public energy consumption equipment in the management and monitoring period, marking the occurrence times as operation and maintenance error condition values, collecting the total times of failure to reach and operate and maintain the corresponding public energy consumption equipment in the specified time when the corresponding operation and maintenance managers receive corresponding early warning information, and marking the total times of failure to reach and operate and maintain the corresponding public energy consumption equipment in the specified time as operation and maintenance delay Kuang Zhi;
The method comprises the steps of collecting single off-Shift time length of corresponding operation and maintenance managers in a pipe monitoring period, carrying out summation calculation on all the single off-Shift time lengths of the corresponding operation and maintenance managers in the pipe monitoring period to obtain off-Shift time condition values, marking the number of the single off-Shift time lengths exceeding a preset single off-Shift time length threshold in the pipe monitoring period as off-Shift condition values, carrying out numerical calculation on operation and maintenance experience values, operation and maintenance error condition values, operation and maintenance delays Kuang Zhi, off-Shift time condition values and off-Shift condition values to obtain operation and maintenance fine evaluation values, carrying out numerical comparison on the operation and maintenance fine evaluation values and a preset operation and maintenance fine evaluation threshold, and marking the corresponding operation and maintenance managers as low-efficiency operation and maintenance personnel if the operation and maintenance fine evaluation values exceed the preset operation and maintenance fine evaluation threshold;
The method comprises the steps of obtaining the number of low-quality operation and maintenance personnel and the number of low-efficiency operation and maintenance personnel aiming at corresponding strong management areas, marking the sum of the low-quality operation and maintenance personnel as a low-condition operation and maintenance value, and calculating the ratio of the low-condition operation and maintenance value to the operation and maintenance personnel value to obtain a personnel evaluation value.
Compared with the prior art, the invention has the beneficial effects that:
1. According to the invention, the operation monitoring module is used for collecting the operation data of the corresponding public energy consumption equipment, the fault analysis module is used for analyzing the operation state of the corresponding public energy consumption equipment, if the corresponding public energy consumption is abnormal, the early warning information is generated, the faults of the public energy consumption equipment can be found and processed in time, the operation and maintenance efficiency and the service life of the public energy consumption equipment are improved, the corresponding areas are marked as strong management areas or weak management areas through the analysis of the public area calibration module, the scheme planning difficulty of the operation and maintenance management of each area is reduced, the scheme planning rationality is improved, and the intelligent degree is high;
2. According to the invention, the strong management area is sent to the area management evaluation module through the server, the area management evaluation module sets the management monitoring period by taking the current date as the starting date, analyzes the management performance condition of the corresponding strong management area in the management monitoring period, timely adjusts operation and maintenance management personnel of the corresponding strong management area when the management table abnormal signal is generated, and strengthens subsequent supervision of the operation and maintenance personnel of the corresponding strong management area, so that safe and stable operation of public energy consumption equipment of each area is further ensured.
Drawings
For the convenience of those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
FIG. 1 is a system block diagram of a first embodiment of the present invention;
Fig. 2 is a system block diagram of a second embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiment one: as shown in fig. 1, the operation and maintenance management system of the public energy consumption equipment suitable for the intelligent park provided by the invention comprises a server, an operation monitoring module, a fault analysis module, an operation and maintenance management module and a public area calibration module; the operation monitoring module is used for carrying out real-time operation monitoring on public energy consumption equipment to be monitored, collecting operation data (including but not limited to parameters such as current, voltage, power factor and temperature of the public energy consumption equipment) of the corresponding public energy consumption equipment, and sending the operation data of the corresponding public energy consumption equipment to the fault analysis module through the server;
The fault analysis module performs data cleaning and integration on the operation data of the public energy consumption equipment (by using the existing big data processing technology, such as Hadoop, spark and the like, and performs high-efficiency processing on the data), provides data support for subsequent fault early warning analysis, analyzes the operation state of the corresponding public energy consumption equipment through a preset fault early warning algorithm, and immediately generates corresponding early warning information and sends the corresponding early warning information to the operation and maintenance management module through a server if judging that the corresponding public energy consumption is abnormal (such as the current, voltage, temperature and other parameters of the public energy consumption equipment are abnormal);
When receiving corresponding early warning information, the operation and maintenance management module determines corresponding operation and maintenance management personnel based on the positions of the corresponding public energy consumption equipment, and sends the corresponding early warning information to an intelligent terminal of the corresponding operation and maintenance management personnel, the operation and maintenance management personnel timely operate and maintain the corresponding public energy consumption equipment, and through monitoring the operation state of the public energy consumption equipment in real time and reasonably analyzing, faults of the public energy consumption equipment can be timely found and processed, the energy consumption cost is reduced, the operation and maintenance efficiency is improved, and the service life of the public energy consumption equipment is effectively prolonged; meanwhile, the system can also provide data support for operation and maintenance management personnel to help them make more reasonable decisions.
The public area calibration module is used for acquiring an area needing to be supervised by public energy consumption equipment, marking the corresponding area as a management area i, wherein i is a natural number larger than 1, marking the management area i as a strong management area or a weak management area through analysis, and sending marking information of the management area i to a server so as to facilitate the subsequent enhancement of personnel management of the strong management area, increase the number of operation and maintenance personnel and increase the input cost budget as required, reduce the scheme planning difficulty of the operation and maintenance management of each area, improve the scheme planning rationality, ensure the operation and maintenance management efficiency and the operation and maintenance management effect of each area, and have high intelligent degree; the specific analysis process of the public area calibration module is as follows:
collecting the area of a management area i, marking the area as a pipe face value, collecting the number of public energy consumption devices to be managed in the management area i, marking the public energy consumption devices as a pipe table value, obtaining marking information (namely difficult pipe devices and easy pipe devices) of all public energy consumption devices, and calculating the ratio of the number of the difficult pipe devices in the management area i to the pipe table value to obtain a difficult pipe detection value;
By the formula Carrying out numerical calculation on a pipe face value QFi, a pipe table value QYi and a difficult pipe detection value QLi to obtain a region calibration coefficient QWi, and carrying out numerical comparison on the region calibration coefficient QWi and a preset region calibration coefficient threshold value, wherein a1, a2 and a3 are preset proportionality coefficients, and a3 is more than a2 and more than a1 is more than 0; and, the larger the numerical value of the regional calibration coefficient QWi is, the larger the management difficulty for the corresponding management region i is;
If the region calibration coefficient QWi exceeds a preset region calibration coefficient threshold, indicating that the management difficulty of the corresponding management region i is high, and the management region i needs to be reinforced and managed, marking the management region i as a strong management region; if the region calibration coefficient QWi does not exceed the preset region calibration coefficient threshold, the management difficulty of the corresponding management region i is smaller, and management of the management region i does not need to be enhanced, and the management region i is marked as a weak management region.
Furthermore, the public area calibration module is in communication connection with the management difficulty detection module, the management difficulty detection module carries out management difficulty analysis on corresponding public energy consumption equipment, the corresponding public energy consumption equipment is marked as difficult-to-manage equipment or easy-to-manage equipment through the management difficulty analysis, and marking information of the corresponding public energy consumption equipment is sent to the public area calibration module, so that the management difficulty degree of each public energy consumption equipment can be reasonably judged, a matched management scheme can be conveniently formulated for different public energy consumption equipment, the management effect of all public energy consumption equipment can be improved, data support can be provided for the analysis process of the public area calibration module, and the accuracy of analysis results can be ensured; the specific analysis process of the management difficulty analysis is as follows:
The method comprises the steps of collecting production dates of corresponding public energy consumption equipment, marking the interval time between the current date and the production date as production time, collecting the total operation time of the corresponding public energy consumption equipment in the production time, and obtaining periodic operation evaluation values of the corresponding public energy consumption equipment through periodic evaluation analysis, wherein the periodic operation evaluation values are specifically as follows: setting an evaluation period, preferably thirty days; collecting all early warning information generated by corresponding public energy consumption equipment in an evaluation period, acquiring all anomalies generated by the corresponding public energy consumption equipment in the evaluation period based on all the early warning information, classifying all the anomalies, and marking the occurrence times of the anomalies of the corresponding type as heterogeneous occurrence values;
Presetting a group of preset anomaly weight values corresponding to each type of anomaly respectively, multiplying the anomaly occurrence value of the anomaly of the corresponding type by the matched preset anomaly weight values to obtain a anomaly analysis value, and summing the anomaly analysis values of all types of anomalies to obtain a anomaly comprehensive evaluation value; the method comprises the steps of collecting single duration time of stopping operation of corresponding public energy consumption equipment due to abnormality, comparing the single duration time with a corresponding preset single duration time threshold value, marking the number of the single duration time exceeding the preset single duration time threshold value in an evaluation period as a single amplitude-frequency value, and summing all the single duration time in the evaluation period to obtain a temporary operation condition value;
calculating the numerical values of the heterogeneous comprehensive evaluation value WF, the single amplitude-duration frequency value WS and the temporary operation condition value WY through a formula WX=R1WF+R2WS+R3WY to obtain a periodic operation evaluation value WX; wherein, ry1, ry2 and ry3 are preset proportionality coefficients, and ry2 > ry 1> ry3 > 0; and, the larger the value of the periodic operation evaluation value WX is, the worse the operation performance of the corresponding public energy consumption equipment in the evaluation period is;
By the formula Carrying out numerical calculation on the periodic operation evaluation value WX, the production duration WN and the total operation duration WK to obtain a management condition value GY, wherein eq1, eq2 and eq3 are preset proportionality coefficients, and eq1 > eq3 > eq1 > 0; and the larger the value of the management condition detection value GY is, the more difficult the management of the corresponding public energy consumption equipment is indicated in the comprehensive aspect; the management condition detection value GY is compared with a corresponding preset management condition detection threshold value in value, and if the management condition detection value GY exceeds the preset management condition detection threshold value, the corresponding public energy consumption equipment is marked as difficult-to-manage equipment if the management condition detection value GY is more difficult to manage in comprehensive terms; if the management condition detection value GY does not exceed the preset management condition detection threshold, the management of the corresponding public energy consumption equipment is easier to comprehensively judge, and the corresponding public energy consumption equipment is marked as manageable equipment.
Embodiment two: as shown in fig. 2, the difference between the present embodiment and embodiment 1 is that the server is communicatively connected to the area management evaluation module, and the server sends the strong management area to the area management evaluation module, where the area management evaluation module uses the current date as the starting date and sets a management period of L1 days, and preferably, L1 is fifteen days; analyzing the management performance conditions of the corresponding strong management areas in the management monitoring period, generating a management table abnormal signal or a management table normal signal of the corresponding strong management areas through analysis, transmitting the management table normal signal or the management table abnormal signal of the corresponding strong management areas to a server, adjusting operation and maintenance management personnel of the corresponding strong management areas in time when the management table abnormal signal is generated, and enhancing subsequent supervision of the operation and maintenance personnel of the corresponding strong management areas, so that safe and stable operation of public energy consumption equipment of each area is further ensured; the specific analysis process of the regional management evaluation module is as follows:
Acquiring the number of operation and maintenance management personnel for operation and maintenance management of a corresponding strong management area, marking an operation and maintenance personnel detection value, acquiring the number of on-Shift real-time people for operation and maintenance management of the corresponding strong management area, comparing the number of the on-Shift real-time people with a corresponding preset on-Shift real-time people threshold value, and judging that the corresponding moment is in an operation and maintenance non-easy state if the number of the on-Shift real-time people does not exceed the preset on-Shift real-time people threshold value;
Collecting the total duration of the operation and maintenance non-easy state of the corresponding strong management area in the management and monitoring period, marking the total duration as an operation and maintenance non-easy time condition value, marking the single duration of each operation and maintenance non-easy state as an operation and maintenance single-maintenance value, comparing the operation and maintenance single-maintenance value with a preset operation and maintenance single-maintenance threshold value in a numerical value, and marking the number of the operation and maintenance single-maintenance values exceeding the preset operation and maintenance single-maintenance threshold value as the operation and maintenance non-easy condition value;
And acquiring a personnel evaluation value of the corresponding strong management area through personnel progressive evaluation analysis, wherein the personnel evaluation value is specifically as follows: collecting the total times of operation and maintenance of the public energy consumption equipment by the corresponding operation and maintenance manager in a history stage, marking the total times as operation and maintenance minor condition values, and collecting the working time of the operation and maintenance manager in the operation and maintenance post of the public energy consumption equipment and marking the working time as operation and maintenance minor condition values;
carrying out numerical calculation on the operation and maintenance condition values YS and the operation and maintenance condition values YL through a formula YK=hy1+hy2×YL/hy1 to obtain an operation and maintenance experience value YK, wherein hy1 and hy2 are preset proportionality coefficients, and hy1 > hy2 > 0; and the larger the value of the operation and maintenance experience value YK is, the more abundant the operation and maintenance experience of the corresponding operation and maintenance manager is for the public energy consumption equipment is; comparing the operation and maintenance experience value YK with a preset operation and maintenance experience threshold value, and marking the corresponding operation and maintenance manager as a low-quality operation and maintenance manager if the operation and maintenance experience value YK does not exceed the preset operation and maintenance experience threshold value, which indicates that the operation and maintenance experience of the corresponding operation and maintenance manager aiming at the public energy consumption equipment is not rich;
If the operation and maintenance experience value YK exceeds a preset operation and maintenance experience threshold value, the operation and maintenance experience of corresponding operation and maintenance managers aiming at the public energy consumption equipment is rich, the occurrence times of error operation when the corresponding operation and maintenance managers operate and maintain the public energy consumption equipment in a supervision period are collected and marked as operation and maintenance error condition values, the total times that the corresponding operation and maintenance managers cannot reach and operate and maintain the corresponding public energy consumption equipment in a specified time after receiving corresponding early warning information are collected, and the total times that the corresponding operation and maintenance managers cannot reach and operate and maintain the corresponding public energy consumption equipment in the specified time are marked as operation and maintenance delays Kuang Zhi;
the method comprises the steps of collecting single off-Shift time length of corresponding operation and maintenance managers in a pipe monitoring period each time, summing all the single off-Shift time lengths of the corresponding operation and maintenance managers in the pipe monitoring period to obtain off-Shift time condition values, and marking the number of the single off-Shift time lengths exceeding a preset single off-Shift time length threshold in the pipe monitoring period as off-Shift amplitude condition values;
By the formula Carrying out numerical calculation on an operation and maintenance experience value YK, an operation and maintenance error condition value TS, an operation and maintenance delay Kuang Zhi TR, an off-duty condition value TN and an off-duty condition value TM to obtain an operation and maintenance fine evaluation value TX, wherein rw1, rw2, rw3, rw4 and rw5 are preset proportionality coefficients, and the values of rw1, rw2, rw3, rw4 and rw5 are all larger than zero; and, the larger the numerical value of the operation and maintenance fine evaluation value TX, the worse the operation and maintenance performance of the corresponding operation and maintenance manager is comprehensively; comparing the operation and maintenance fine evaluation value TX with a preset operation and maintenance fine evaluation threshold value, and marking the corresponding operation and maintenance manager as an inefficient operation and maintenance manager if the operation and maintenance fine evaluation value TX exceeds the preset operation and maintenance fine evaluation threshold value, which indicates that the operation and maintenance performance of the corresponding operation and maintenance manager is poor in combination;
The method comprises the steps of obtaining the number of low-quality operation and maintenance personnel and the number of low-efficiency operation and maintenance personnel aiming at corresponding strong management areas, marking the sum of the low-quality operation and maintenance personnel as a low-condition operation and maintenance value, and calculating the ratio of the low-condition operation and maintenance value to the operation and maintenance personnel value to obtain a personnel evaluation value;
Carrying out numerical calculation on the personnel evaluation value QF, the operation and maintenance personnel detection value QY, the operation and maintenance non-easy time condition value QL and the operation and maintenance non-easy amplitude condition value QP through a formula QX=fy1+ (fy3+fy4) QP)/(fy2+QY+0.762 to obtain a regional pipe table analysis value QX, wherein fy1, fy2, fy3 and fy4 are preset proportionality coefficients, and the values of fy1, fy2, fy3 and fy4 are all larger than zero; and, the larger the value of the analysis value QX of the regional management table is, the worse the management performance of the regional management table is aiming at the corresponding strong management region in the management monitoring period;
Comparing the regional pipe table analysis value QX with a preset regional pipe table analysis threshold value, and generating a pipe table abnormal signal of a corresponding strong management region if the regional pipe table analysis value QX exceeds the preset regional pipe table analysis threshold value, which indicates that the management performance of the corresponding strong management region is poor in a pipe monitoring period; if the regional pipe table analysis value QX does not exceed the preset regional pipe table analysis threshold, the management performance of the corresponding strong management region in the pipe monitoring period is better, and a pipe table normal signal of the corresponding strong management region is generated.
The working principle of the invention is as follows: when the system is used, the operation monitoring module is used for carrying out real-time operation monitoring on public energy consumption equipment to be monitored, operation data of the corresponding public energy consumption equipment are acquired, the fault analysis module is used for analyzing the operation state of the corresponding public energy consumption equipment based on the operation data of the public energy consumption equipment through a preset fault early warning algorithm, early warning information is generated if the corresponding public energy consumption equipment is judged to be abnormal, corresponding operation and maintenance management personnel are informed of timely carrying out operation and maintenance on the corresponding public energy consumption equipment when the early warning information is generated, faults of the public energy consumption equipment can be timely found and processed, the operation and maintenance efficiency and the service life of the public energy consumption equipment are improved, the area required to be monitored by the public energy consumption equipment is acquired through the public area calibration module, the corresponding area is marked as a strong management area or a weak management area through analysis, the scheme planning difficulty of operation and maintenance management of each area is reduced, the scheme planning rationality is improved, the operation and maintenance management efficiency and the operation and maintenance management effect of each area are guaranteed, and the intelligent degree is high.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation. The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (4)
1. The utility model provides a public energy consumption equipment operation and maintenance management system suitable for wisdom garden, which is characterized in that the system comprises a server, an operation monitoring module, a fault analysis module, an operation and maintenance management module and a public area calibration module; the operation monitoring module is used for carrying out real-time operation monitoring on public energy consumption equipment to be monitored, acquiring operation data of the corresponding public energy consumption equipment, and sending the operation data of the corresponding public energy consumption equipment to the fault analysis module through the server;
The fault analysis module performs data cleaning and integration on the operation data of the public energy consumption equipment, analyzes the operation state of the corresponding public energy consumption equipment through a preset fault early warning algorithm, and generates early warning information and sends the early warning information to the operation and maintenance management module through the server if the corresponding public energy consumption is judged to be abnormal;
When receiving corresponding early warning information, the operation and maintenance management module determines corresponding operation and maintenance management personnel based on the positions of the corresponding public energy consumption equipment, and sends the corresponding early warning information to an intelligent terminal of the corresponding operation and maintenance management personnel, and the operation and maintenance management personnel timely operate and maintain the corresponding public energy consumption equipment;
the public area calibration module is used for acquiring an area needing to be supervised by public energy consumption equipment, marking a corresponding area as a management area i, wherein i is a natural number larger than 1, marking the management area i as a strong management area or a weak management area through analysis, and sending marking information of the management area i to the server;
the specific analysis process of the public area calibration module is as follows:
Collecting the area of a management area i, marking the area as a pipe face value, collecting the number of public energy consumption equipment required to be managed in the management area i, marking the number as a pipe table value, obtaining marking information of all public energy consumption equipment, calculating the ratio of the number of difficult pipe equipment in the management area i to the pipe table value to obtain a difficult pipe detection value, calculating the pipe face value, the pipe table value and the difficult pipe detection value to obtain an area calibration coefficient, and marking the management area i as a strong management area if the area calibration coefficient exceeds a preset area calibration coefficient threshold value; if the region calibration coefficient does not exceed the preset region calibration coefficient threshold value, marking the management region i as a weak management region;
The public area calibration module is in communication connection with the management difficulty detection module, the management difficulty detection module analyzes the management difficulty of the corresponding public energy consumption equipment, marks the corresponding public energy consumption equipment as difficult-to-manage equipment or easy-to-manage equipment through the management difficulty analysis, and sends marking information of the corresponding public energy consumption equipment to the public area calibration module;
the specific analysis process of the management difficulty analysis is as follows:
Acquiring the production date of the corresponding public energy consumption equipment, marking the interval time between the current date and the production date as production time, acquiring the running total time of the corresponding public energy consumption equipment in the production time, acquiring the periodic operation evaluation value of the corresponding public energy consumption equipment through periodic evaluation analysis, carrying out numerical calculation on the periodic operation evaluation value, the production time and the running total time to obtain a management condition detection value, and marking the corresponding public energy consumption equipment as difficult-to-manage equipment if the management condition detection value exceeds a preset management condition detection threshold value; if the management condition detection value does not exceed the preset management condition detection threshold value, marking the corresponding public energy consumption equipment as easy-to-manage equipment;
the specific analysis procedure for the cycle evaluation analysis is as follows:
Setting an evaluation period, collecting all early warning information generated by corresponding public energy consumption equipment in the evaluation period, acquiring all anomalies generated by the corresponding public energy consumption equipment in the evaluation period based on all early warning information, classifying all the anomalies, marking the occurrence times of the anomalies of the corresponding types as anomaly occurrence values, presetting a group of preset anomaly weight values corresponding to each type of anomalies respectively, multiplying the anomaly occurrence values of the anomalies of the corresponding types by the matched preset anomaly weight values to obtain anomaly weight values, and summing the anomaly weight values of the anomalies of the all types to obtain an anomaly comprehensive evaluation value;
And acquiring single duration of stopping operation of the corresponding public energy consumption equipment due to abnormality, comparing the single duration with a corresponding preset single duration threshold value, marking the number of the single durations exceeding the preset single duration threshold value in an evaluation period as a single duration frequency value, summing all the single durations in the evaluation period to obtain a temporary operation condition value, and calculating the numerical value of the heterogeneous comprehensive evaluation value, the single duration frequency value and the temporary operation condition value to obtain a periodic operation evaluation value.
2. The operation and maintenance management system for public energy consumption equipment in a smart park according to claim 1, wherein the server is in communication connection with the regional management evaluation module, the server sends the strong management region to the regional management evaluation module, the regional management evaluation module takes the current date as the starting date and sets a management supervision period with the number of days being L1, the management performance condition of the corresponding strong management region in the management supervision period is analyzed, a management table abnormal signal or a management table normal signal of the corresponding strong management region is generated through analysis, and the management table normal signal or the management table abnormal signal of the corresponding strong management region is sent to the server.
3. The operation and maintenance management system for public energy consumption equipment in an intelligent park according to claim 2, wherein the specific analysis process of the regional management evaluation module is as follows:
Acquiring the number of operation and maintenance management personnel for operation and maintenance management of a corresponding strong management area, marking an operation and maintenance personnel detection value, acquiring the number of on-Shift real-time people for operation and maintenance management of the corresponding strong management area, and judging that the corresponding moment is in an operation and maintenance non-easy state if the number of on-Shift real-time people does not exceed a preset on-Shift real-time people threshold; collecting the total duration of the operation and maintenance non-easy state of the corresponding strong management area in the management period, marking the total duration as an operation and maintenance non-easy time condition value, marking the single duration of each operation and maintenance non-easy state as an operation and maintenance single-hold value, and marking the number of the operation and maintenance single-hold values exceeding a preset operation and maintenance single-hold threshold as an operation and maintenance non-easy condition value;
The personnel evaluation values of the corresponding strong management areas are obtained through personnel progressive evaluation analysis, the regional management table analysis values are obtained through numerical calculation of the personnel evaluation values, the operation and maintenance personnel inspection values, the operation and maintenance non-easy time condition values and the operation and maintenance non-easy amplitude condition values, and if the regional management table analysis values exceed a preset regional management table analysis threshold value, a management table abnormal signal of the corresponding strong management areas is generated; if the regional pipe table analysis value does not exceed the preset regional pipe table analysis threshold, generating a pipe table normal signal of the corresponding strong management region.
4. A public energy facility operation and maintenance management system suitable for intelligent parks according to claim 3, wherein the specific analysis process of personnel progressive evaluation analysis is as follows:
Collecting the total times of operation and maintenance of the public energy consumption equipment by the corresponding operation and maintenance manager in a history stage, marking the total times as operation and maintenance minor condition values, and collecting the working time of the operation and maintenance manager in the operation and maintenance post of the public energy consumption equipment and marking the working time as operation and maintenance minor condition values; carrying out numerical calculation on the operation and maintenance sub-condition value and the operation and maintenance time condition value to obtain an operation and maintenance experience value, and marking the corresponding operation and maintenance manager as a low-quality operation and maintenance manager if the operation and maintenance experience value does not exceed a preset operation and maintenance experience threshold value;
if the operation and maintenance experience value exceeds a preset operation and maintenance experience threshold value, collecting the occurrence times of error operation when corresponding operation and maintenance managers conduct operation and maintenance on the corresponding public energy consumption equipment in the management and monitoring period, marking the occurrence times as operation and maintenance error condition values, collecting the total times of failure to reach and operate and maintain the corresponding public energy consumption equipment in the specified time when the corresponding operation and maintenance managers receive corresponding early warning information, and marking the total times of failure to reach and operate and maintain the corresponding public energy consumption equipment in the specified time as operation and maintenance delay Kuang Zhi;
The method comprises the steps of collecting single off-Shift time length of corresponding operation and maintenance managers in a pipe monitoring period each time, summing all the single off-Shift time lengths of the corresponding operation and maintenance managers in the pipe monitoring period to obtain off-Shift time condition values, marking the number of the single off-Shift time lengths exceeding a preset single off-Shift time length threshold in the pipe monitoring period as off-Shift condition values, carrying out numerical calculation on operation and maintenance experience values, operation and maintenance error condition values, operation and maintenance delays Kuang Zhi, off-Shift time condition values and off-Shift condition values to obtain operation and maintenance fine evaluation values, and marking the corresponding operation and maintenance managers as low-efficiency operation and maintenance personnel if the operation and maintenance fine evaluation values exceed a preset operation and maintenance fine evaluation threshold;
The method comprises the steps of obtaining the number of low-quality operation and maintenance personnel and the number of low-efficiency operation and maintenance personnel aiming at corresponding strong management areas, marking the sum of the low-quality operation and maintenance personnel as a low-condition operation and maintenance value, and calculating the ratio of the low-condition operation and maintenance value to the operation and maintenance personnel value to obtain a personnel evaluation value.
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| CN117353465A (en) * | 2023-12-04 | 2024-01-05 | 深圳市宝安爱德电气有限公司 | Sensor-based operation supervision system for variable-frequency power distribution cabinet |
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