Industrial frequency transformer safety early warning system based on data analysis

Abstract

The invention belongs to the technical field of transformer supervision, and particularly relates to an industrial frequency transformer safety early warning system based on data analysis, which comprises a transformer monitoring module, a transformer health state evaluation module, an early warning mechanism trigger module, a region management arrangement decision module and a remote supervision end, according to the invention, the transformer health state assessment module assesses the current health state of the corresponding industrial frequency transformer in real time, and if it is judged that the corresponding industrial frequency transformer has a fault risk, the early warning mechanism trigger module sends risk early warning information to the remote supervision terminal, so that safe and stable operation of the corresponding industrial frequency transformer is ensured; and the region management arrangement decision module marks the region needing to be managed by the industrial frequency transformer as a transportation management region, the management arrangement risk for the transportation management region is judged through analysis, adjustment of operation and maintenance personnel is carried out in time when a management arrangement early warning signal is generated, the management safety of the transportation management region is effectively guaranteed, and the intelligent degree is high.

Description

Technical Field

[0001] The invention relates to the technical field of transformer supervision, and in particular to a power frequency transformer safety early warning system based on data analysis. Background Art

[0002] The power frequency transformer, also known as the low-frequency transformer, refers to a transformer that works at the power frequency of the power system. This transformer can change the voltage of the alternating current while keeping its frequency unchanged. The working principle of the power frequency transformer is based on the law of electromagnetic induction. When the alternating current passes through the primary coil of the transformer, an alternating magnetic flux will be generated in the iron core, and the alternating magnetic flux will generate an induced electromotive force in the secondary coil, thereby realizing the voltage conversion;

[0003] During the operation of the power frequency transformer, it is necessary to monitor its safety. At present, it is difficult to automatically warn of abnormal operation of the power frequency transformer and accurately assess the risk of management arrangements for the power frequency transformers in the corresponding area. When judging whether the management arrangements are qualified, it is impossible to reasonably analyze and accurately feedback the management execution performance of the power frequency transformers in the corresponding area, which is not conducive to ensuring the effective management of the power frequency transformers in the corresponding area.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a power frequency transformer safety early warning system based on data analysis, which solves the problem that the prior art is difficult to automatically warn of abnormal operation of power frequency transformers and accurately evaluate the risk of management arrangements for power frequency transformers in the corresponding area, and is unable to reasonably analyze and accurately feedback the management execution performance of power frequency transformers in the corresponding area when judging whether the management arrangements are qualified, which is not conducive to ensuring effective management of power frequency transformers in the corresponding area and has a low degree of intelligence.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A power frequency transformer safety early warning system based on data analysis, including a transformer monitoring module, a transformer health status assessment module, an early warning mechanism triggering module, a regional management arrangement decision module and a remote supervision terminal;

[0008] The transformer monitoring module monitors the operation of the power frequency transformer, collects the key parameter data of the power frequency transformer, and packages all the key parameter data of the corresponding power frequency transformer into a transformer operation and inspection package, and sends the transformer operation and inspection package of the corresponding power frequency transformer to the transformer health status assessment module;

[0009] The transformer health status assessment module receives the transformer operation and inspection package of the corresponding power frequency transformer, and inputs the transformer operation and inspection package into the transformer health status assessment model. The transformer health status assessment model conducts a real-time assessment of the current health status of the corresponding power frequency transformer, determines whether the corresponding power frequency transformer has a fault risk, and sends the corresponding judgment result to the early warning mechanism trigger module;

[0010] The early warning mechanism trigger module receives the judgment result of the transformer health status assessment module. If the corresponding power frequency transformer has a failure risk, the early warning mechanism trigger module generates risk warning information of the corresponding power frequency transformer and sends the risk warning information of the corresponding power frequency transformer to the remote monitoring end;

[0011] The regional management arrangement decision module marks the area where the power frequency transformer management is required as the operation management area, and judges the management arrangement risk for the operation management area through analysis, and generates a management arrangement qualification signal or a management arrangement warning signal accordingly, and sends the management arrangement qualification signal or the management arrangement warning signal to the remote supervision end. When the remote supervision end receives the management arrangement warning signal, it will issue a corresponding warning.

[0012] Furthermore, the specific analysis process of the regional management arrangement decision module includes:

[0013] The classification and marking information of all power frequency transformers in the operation and management area is obtained, and the total number of power frequency transformers and the total number of high-risk objects in the operation and management area are marked as the transformer total inspection value and the transformer risk inspection value respectively, and the transformer type inspection values ​​of all power frequency transformers in the operation and management area are averaged to obtain the transformer comprehensive condition value, and the transformer total inspection value, transformer risk inspection value and transformer comprehensive condition value are numerically calculated to obtain the transformer zone table value;

[0014] And through regional multi-period risk analysis to obtain regional risk tracing values, and obtain the grade marking information of all operation and maintenance personnel responsible for the management of power frequency transformers in the operation and management area, and mark the total number of operation and maintenance personnel and the total number of excellent personnel in the operation and management area as the operation manager inspection value and the operation management excellent inspection value respectively, and calculate the average of the management grade values ​​of all operation and maintenance personnel to obtain the manager evaluation value; the operation manager inspection value, the operation management excellent inspection value and the manager evaluation value are numerically calculated to obtain the manager analysis value;

[0015] The regional management risk coefficient is obtained by calculating the ratio of the transformer zone table value, the regional risk tracing value and the manager's analysis value, and the regional management risk coefficient is numerically compared with the preset regional management risk coefficient threshold. If the regional management risk coefficient exceeds the preset regional management risk coefficient threshold, a management arrangement warning signal is generated; if the regional management risk coefficient does not exceed the preset regional management risk coefficient threshold, a management arrangement qualified signal is generated.

[0016] Furthermore, the regional management arrangement decision module is connected to the transformer classification module and the operation and maintenance personnel classification module in communication. The transformer classification module classifies all the power frequency transformers in the operation and management area through analysis, thereby determining the high-risk objects and low-risk objects in the operation and management area, and sends the classification mark information of all the power frequency transformers to the regional management arrangement decision module;

[0017] The operation and maintenance personnel classification module classifies all the operation and maintenance personnel responsible for the management of power frequency transformers in the operation and management area into grades through analysis, thereby determining the superior and inferior personnel in the operation and management area, and sending the grade marking information of all operation and maintenance personnel to the regional management arrangement decision module.

[0018] Furthermore, the specific analysis process of the transformer classification module is as follows:

[0019] All power-frequency transformers in the transport and management area are obtained, and the corresponding power-frequency transformers are marked as control object i, where i is a natural number greater than 1; the total number of risk warning information generated for control object i during the detection period is collected and marked as the risk warning value, and the production date of control object i is collected, and the time difference between the current date and the production date of control object i is calculated to obtain the transformer storage time value;

[0020] And collect all the maintenance moments for the control object i in the historical stage, calculate the time difference between two adjacent groups of maintenance moments to obtain the maintenance isolation value, compare the maintenance isolation value with the preset maintenance isolation threshold, and mark the number of maintenance isolation values ​​that exceed the preset maintenance isolation threshold in the historical stage as the maintenance isolation abnormality value;

[0021] The transformer inspection value is obtained by numerically calculating the risk warning value, transformer storage time value and maintenance isolation abnormal condition value, and the transformer inspection value is numerically compared with the preset transformer inspection threshold. If the transformer inspection value exceeds the preset transformer inspection threshold, the control object i is marked as a high-risk object; if the transformer inspection value does not exceed the preset transformer inspection threshold, the control object i is marked as a low-risk object.

[0022] Furthermore, the specific analysis process of the operation and maintenance personnel classification module is as follows:

[0023] Obtain all the operation and maintenance personnel who are to be arranged to the operation and management area to perform operation and maintenance management of the power frequency transformer, and mark the corresponding operation and maintenance personnel as target personnel q, where q is a natural number greater than 1;

[0024] The total time that the target person q performed the operation and maintenance management of the power frequency transformer in the historical stage is collected and marked as the transformer operation and maintenance condition value, and the total number of mistakes made by the target person q in the historical stage when performing the operation and maintenance management of the transformer is marked as the transformer operation and maintenance error value;

[0025] The total absence time of the target personnel in the transformer operation and maintenance management position in the historical stage is collected, and the management level value is obtained by numerically calculating the transformer operation and maintenance condition value, the transformer operation and maintenance error value and the total absence time; the management level value is numerically compared with the preset management level threshold, if the management level value exceeds the preset management level threshold, the target personnel q is marked as a superior personnel; if the management level value does not exceed the preset management level threshold, the target personnel q is marked as an inferior personnel.

[0026] Furthermore, the specific analysis process of regional multi-period risk analysis is as follows:

[0027] Several detection time periods are set within the detection period, the total number of times risk warning information is generated for all power frequency transformers in the operation and management area within the corresponding detection period is collected and marked as the time period warning value, and the number of power frequency transformers that generate risk warning information in the corresponding detection period is marked as the time period risk value, and the time period warning value and the time period number inspection value are numerically compared with the preset time period warning threshold and the preset time period number inspection threshold, respectively. If the time period warning value or the time period number inspection value exceeds the corresponding preset threshold, the corresponding detection period is marked as a non-easy-to-manage period;

[0028] The proportion of the number of non-easy-to-manage time periods during the detection period is obtained and marked as the regional non-easy-to-manage coefficient, and the period warning values ​​of all detection periods during the detection period are averaged to obtain the period warning value, and the period risk values ​​of all detection periods during the detection period are averaged to obtain the period analysis value; the regional risk tracing value is obtained by numerically calculating the regional non-easy-to-manage coefficient, the period warning value and the period analysis value.

[0029] Furthermore, when a qualified management arrangement signal is generated, the operation and maintenance management of the power frequency transformer in the operation and management area is performed according to the determined operation and maintenance personnel. The remote monitoring end communicates with the management execution evaluation module. The management execution evaluation module sets an execution tracing period of K1 days. When the number of days reaches K1, the operation and maintenance execution performance of the power frequency transformer in the operation and management area during the execution tracing period is analyzed. A qualified management execution evaluation signal or an abnormal management execution evaluation signal is generated through the analysis, and the qualified management execution evaluation signal or the abnormal management execution evaluation signal is sent to the remote monitoring end. When the remote monitoring end receives the abnormal management execution evaluation signal, a corresponding warning is issued.

[0030] Furthermore, the specific analysis process of the management execution evaluation module is as follows:

[0031] The risk warning information of all power frequency transformers during the execution traceability period is obtained, and the generation time of the corresponding risk warning information is marked as the initial judgment time. The time when the operation and maintenance personnel complete the corresponding treatment measures for the risk warning information of the corresponding power frequency transformer is collected and marked as the end of execution time, and the interval between the end of execution time and the initial judgment time is marked as the operation and maintenance effectiveness value;

[0032] The operation and maintenance efficiency value is numerically compared with the corresponding preset operation and maintenance efficiency threshold. If the operation and maintenance efficiency value exceeds the preset operation and maintenance efficiency threshold, the corresponding operation and maintenance efficiency value is marked as an operation and maintenance abnormality value, and the number of operation and maintenance abnormality values ​​during the execution traceability period is marked as an operation and maintenance abnormality detection value;

[0033] And the operation and maintenance abnormality value that exceeds the corresponding preset operation and maintenance efficiency threshold is marked as the operation and maintenance abnormality value, and the average of all operation and maintenance abnormality values ​​is marked as the operation and maintenance abnormality table value; the management execution evaluation value is obtained by numerically calculating the operation and maintenance abnormality value and the operation and maintenance abnormality table value, and the management execution evaluation value is numerically compared with the preset management execution evaluation threshold. If the management execution evaluation value exceeds the preset management execution evaluation threshold, a management execution evaluation abnormal signal is generated; if the management execution evaluation value does not exceed the preset management execution evaluation threshold, a management execution evaluation qualified signal is generated.

[0034] Compared with the prior art, the present invention has the following beneficial effects:

[0035] 1. In the present invention, the current health status of the corresponding power frequency transformer is evaluated in real time through the transformer health status evaluation module. If it is determined that the corresponding power frequency transformer has a fault risk, the risk warning information is sent to the remote monitoring end through the early warning mechanism trigger module, which is conducive to ensuring the safe and stable operation of the corresponding power frequency transformer. The area where the power frequency transformer management is required is marked as the operation and management area through the regional management arrangement decision module. The risk of the management arrangement for the operation and management area is determined through analysis, and the operation and maintenance personnel are adjusted in time when the management arrangement warning signal is generated, so as to effectively ensure the management safety of the operation and management area;

[0036] 2. In the present invention, after the operation and maintenance personnel arrangement for the operation and management area is completed, the execution tracing period is set through the management execution evaluation module, and the operation and maintenance execution performance of the power frequency transformer in the operation and management area during the execution tracing period is analyzed. A management execution evaluation qualified signal or a management execution evaluation abnormal signal is generated through the analysis. When the management execution evaluation abnormal signal is generated, the remote supervision end issues an early warning so that the background personnel can promptly strengthen the supervision of the operation and maintenance personnel in the operation and management area, further ensure the management security of the operation and management area, and have a high degree of intelligence. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0038] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0039] Figure 2 This is a system block diagram of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] Embodiment 1: Figure 1 As shown, the present invention proposes a power frequency transformer safety early warning system based on data analysis, including a transformer monitoring module, a transformer health status assessment module, an early warning mechanism triggering module, a regional management arrangement decision module and a remote supervision terminal;

[0042] The transformer monitoring module monitors the operation of the power frequency transformer, collects the key parameter data of the power frequency transformer (including but not limited to key parameters such as voltage, current, temperature, humidity, and gas composition in oil, and data collection is achieved through high-precision sensors and acquisition equipment to ensure the accuracy and real-time nature of the data), and packages all the key parameter data of the corresponding power frequency transformer into a transformer operation and inspection package, and sends the transformer operation and inspection package of the corresponding power frequency transformer to the transformer health status assessment module.

[0043] The transformer health status assessment module receives the transformer operation and inspection package of the corresponding power frequency transformer, and inputs the transformer operation and inspection package into the transformer health status assessment model (it should be noted that the transformer health status assessment model can accurately assess the health status of the power frequency transformer and capture fault conditions by training a large amount of historical data and learning the data feature differences between normal and abnormal states of the power frequency transformer). The transformer health status assessment model conducts real-time assessment of the current health status of the corresponding power frequency transformer, determines whether the corresponding power frequency transformer has a fault risk, and sends the corresponding judgment result to the early warning mechanism trigger module.

[0044] The early warning mechanism trigger module receives the judgment result of the transformer health status assessment module. If the corresponding power frequency transformer has a failure risk, the early warning mechanism trigger module generates risk warning information of the corresponding power frequency transformer, and sends the risk warning information of the corresponding power frequency transformer to the remote monitoring end. The remote monitoring end displays the risk warning information so that the backstage personnel can arrange the corresponding operation and maintenance personnel to take corresponding handling measures in time to ensure the safe and stable operation of the corresponding power frequency transformer.

[0045] The regional management arrangement decision module marks the area where the power frequency transformer management is required as the operation and management area, and determines the management arrangement risk for the operation and management area through analysis, and generates a management arrangement qualified signal or a management arrangement early warning signal accordingly, and sends the management arrangement qualified signal or the management arrangement early warning signal to the remote monitoring end, and the remote monitoring end issues a corresponding early warning when receiving the management arrangement early warning signal;

[0046] When the qualified signal of management arrangement is generated, the operation and maintenance management of the power frequency transformer in the operation and management area can be performed according to the determined operation and maintenance personnel. When the warning signal of management arrangement is generated, the operation and maintenance personnel can be adjusted in time, which is conducive to the arrangement of operation and maintenance personnel in the operation and management area and effectively ensures the management safety of the operation and management area. The specific analysis process of the regional management arrangement decision module is as follows:

[0047] The classification and marking information of all power frequency transformers in the operation and management area is obtained, and the total number of power frequency transformers and the total number of high-risk objects in the operation and management area are marked as the total transformer inspection value and the transformer risk inspection value respectively, and the transformer type inspection values ​​of all power frequency transformers in the operation and management area are averaged to obtain the transformer comprehensive condition value;

[0048] The transformer total inspection value UY, transformer risk inspection value UP and transformer comprehensive condition value US are numerically calculated by the formula WF=(aw1*UY+aw2*UP) / 2+aw3*US / (aw1+aw2) to obtain the transformer zone table value WF; wherein aw1, aw2, aw3 are preset proportional coefficients, aw2>aw1>aw3>0; and the larger the value of the transformer zone table value WF, the greater the overall difficulty of operation and maintenance management in the operation and management area;

[0049] And through regional multi-period risk analysis to obtain regional risk tracing values, specifically: several detection periods are set within the detection period, the total number of risk warning information generated for all power frequency transformers in the operation and management area within the corresponding detection period is collected and marked as the period warning value, and the number of power frequency transformers that generate risk warning information in the corresponding detection period is marked as the period number risk value, and the period warning value and the period number inspection value are numerically compared with the preset period warning threshold and the preset period number inspection threshold, respectively. If the period warning value or the period number inspection value exceeds the corresponding preset threshold, the corresponding detection period is marked as a non-easy-to-manage period;

[0050] The number ratio of the non-easy-to-manage time periods in the detection period is obtained and marked as the regional non-easy-to-manage coefficient, and the time period warning detection values ​​of all detection time periods in the detection period are averaged to obtain the time period warning analysis value, and the time period data risk values ​​of all detection time periods in the detection period are averaged to obtain the time period data analysis value;

[0051] The regional risk tracing value WY is obtained by numerically calculating the regional non-manageable coefficient PM, the period warning value PX and the period analysis value PF through the formula WY=tp1*PM+(tp2*PX+tp3*PF) / tp1; wherein tp1, tp2 and tp3 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the regional risk tracing value WY is, the greater the overall operation management risk of the transport management area is;

[0052] And obtain the grade marking information of all operation and maintenance personnel who are to be arranged to be responsible for the management of power frequency transformers in the operation and management area, and mark the total number of operation and maintenance personnel and the total number of excellent personnel in the operation and management area as the operation manager inspection value and the operation management excellent inspection value respectively, and calculate the average of the management grade values ​​of all operation and maintenance personnel to obtain the manager evaluation;

[0053] The operator inspection value RY, the operator excellent inspection value RF and the operator evaluation value RP are numerically calculated by the formula WR=(eq1*RY+eq2*RF) / 2+eq3*RP / (eq1+eq2) to obtain the operator analysis value WR; wherein eq1, eq2 and eq3 are preset proportional coefficients with values ​​greater than zero, and eq2>eq1>eq3; and the larger the value of the operator analysis value WR is, the more the personnel conditions of all the operator maintenance personnel who are arranged to be responsible for the operator maintenance management in the operator management area can meet the requirements in general;

[0054] The regional management risk coefficient WX is obtained by calculating the ratio of the transformer area table value WF, the regional risk tracing value WY and the manager analysis value WR through the formula WX=(sg1*WF+sg2*WY) / (sg3*WR+0.925); wherein sg1, sg2, and sg3 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the regional management risk coefficient WX, the worse the overall arrangement of the operation and maintenance personnel in the operation and management area is, and the greater the arrangement risk is;

[0055] The regional management risk coefficient WX is numerically compared with the preset regional management risk coefficient threshold. If the regional management risk coefficient WX exceeds the preset regional management risk coefficient threshold, it indicates that the overall arrangement of operation and maintenance personnel in the operation management area is poor and the existing arrangement risk is relatively large, then a management arrangement warning signal is generated; if the regional management risk coefficient WX does not exceed the preset regional management risk coefficient threshold, it indicates that the overall arrangement of operation and maintenance personnel in the operation management area is good, then a management arrangement qualified signal is generated.

[0056] Specifically, the regional management arrangement decision module communicates with the transformer classification module and the operation and maintenance personnel classification module. The transformer classification module classifies all power frequency transformers in the operation and management area through analysis, thereby determining the high-risk objects and low-risk objects in the operation and management area, and sends the classification mark information of all power frequency transformers to the regional management arrangement decision module, which can not only reasonably classify all power frequency transformers, but also provide data support for the analysis process of the regional management arrangement decision module to ensure the accuracy of its analysis results; the specific analysis process of the transformer classification module is as follows:

[0057] All power-frequency transformers in the transport and management area are obtained, and the corresponding power-frequency transformers are marked as control object i, where i is a natural number greater than 1; the total number of risk warning information generated for control object i during the detection period is collected and marked as the risk warning value, and the production date of control object i is collected, and the time difference between the current date and the production date of control object i is calculated to obtain the transformer storage time value;

[0058] And collect all the maintenance moments for the control object i in the historical stage, calculate the time difference between two adjacent groups of maintenance moments to obtain the maintenance isolation value, compare the maintenance isolation value with the preset maintenance isolation threshold, and mark the number of maintenance isolation values ​​that exceed the preset maintenance isolation threshold in the historical stage as the maintenance isolation abnormality value;

[0059] By formula The risk warning value YFi, the transformer storage time value YMi and the maintenance isolation abnormal condition value YGi are numerically calculated to obtain the transformer type inspection value YLi; wherein re1, re2, and re3 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the transformer type inspection value YLi, the greater the operating risk of the control object i, and the greater the overall difficulty of its operation management;

[0060] The transformer type inspection value YLi is numerically compared with the preset transformer type inspection threshold. If the transformer type inspection value YLi exceeds the preset transformer type inspection threshold, it indicates that the operation and management difficulty of the control object i is generally large, and the control object i is marked as a high-risk object; if the transformer type inspection value YLi does not exceed the preset transformer type inspection threshold, it indicates that the operation and management difficulty of the control object i is generally small, and the control object i is marked as a low-risk object.

[0061] Furthermore, the operation and maintenance personnel classification module classifies all the operation and maintenance personnel responsible for the management of power frequency transformers in the operation and management area into grades through analysis, thereby determining the superior and inferior personnel in the operation and management area, and sending the grade marking information of all operation and maintenance personnel to the regional management arrangement decision module, which can not only accurately classify all operation and maintenance personnel, but also provide data support for the analysis process of the regional management arrangement decision module, further ensuring the accuracy of its analysis results; the specific analysis process of the operation and maintenance personnel classification module is as follows:

[0062] All the operation and maintenance personnel who are to be arranged to the operation and management area for the operation and maintenance of the power frequency transformer are obtained, and the corresponding operation and maintenance personnel are marked as the target personnel q, where q is a natural number greater than 1; the total time of the target personnel q performing the operation and maintenance of the power frequency transformer in the historical stage is collected and marked as the transformer operation and maintenance condition value, and the total number of mistakes made by the target personnel q in the operation and maintenance of the transformer in the historical stage is marked as the transformer operation and maintenance error detection value; and the total time of the target personnel being off duty in the transformer operation and maintenance management position in the historical stage is collected;

[0063] The transformer operation and maintenance status value QSq, the transformer operation and maintenance error detection value QNq and the total off-duty time QMq are numerically calculated by the formula QDq=hy1*QSq / (hy2*QNq+hy3*QMq) to obtain the management level value QDq; wherein hy1, hy2 and hy3 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the management level value QDq, the better the operation and maintenance management status of the target personnel q for the power frequency transformer is in general;

[0064] The management level value QDq is numerically compared with the preset management level threshold. If the management level value QDq exceeds the preset management level threshold, it indicates that the target personnel q has a good overall operation and maintenance management status for the power frequency transformer, and the target personnel q is marked as a superior personnel; if the management level value QDq does not exceed the preset management level threshold, it indicates that the target personnel q has a poor overall operation and maintenance management status for the power frequency transformer, and the target personnel q is marked as an inferior personnel.

[0065] Embodiment 2: Figure 2 As shown, the difference between this embodiment and the first embodiment is that the remote monitoring terminal is connected to the management execution evaluation module through communication, and the management execution evaluation module sets the execution tracing period of days K1. When the number of days reaches K1, preferably, K1 is twenty days; the operation and maintenance execution performance of the power frequency transformer in the operation management area during the execution tracing period is analyzed, and a management execution evaluation qualified signal or a management execution evaluation abnormal signal is generated through the analysis;

[0066] And send the qualified signal of management execution evaluation or the abnormal signal of management execution evaluation to the remote monitoring end. When the remote monitoring end receives the abnormal signal of management execution evaluation, it will issue a corresponding warning to remind the back-end personnel to strengthen the supervision of the operation and maintenance personnel in the operation management area in time, and further ensure the management safety of the operation management area with a high degree of intelligence. The specific analysis process of the management execution evaluation module is as follows:

[0067] The risk warning information of all power frequency transformers within the execution traceability period is obtained, and the generation time of the corresponding risk warning information is marked as the initial judgment time. The time when the operation and maintenance personnel complete the corresponding processing measures for the risk warning information of the corresponding power frequency transformer is collected and marked as the end of execution time, and the interval between the end of execution time and the initial judgment time is marked as the operation and maintenance efficiency value; wherein, the larger the value of the operation and maintenance efficiency value, the slower the corresponding processing efficiency and the worse the operation and maintenance execution performance;

[0068] The operation and maintenance efficiency value is numerically compared with the corresponding preset operation and maintenance efficiency threshold. If the operation and maintenance efficiency value exceeds the preset operation and maintenance efficiency threshold, the corresponding operation and maintenance efficiency value is marked as the operation and maintenance abnormality value, and the number of operation and maintenance abnormality values ​​in the execution traceability period is marked as the operation and maintenance abnormality inspection value; and the excess value of the operation and maintenance abnormality value compared with the corresponding preset operation and maintenance efficiency threshold is marked as the operation and maintenance abnormality value, and the average value of all operation and maintenance abnormality values ​​is marked as the operation and maintenance abnormality value;

[0069] The operation and maintenance abnormal inspection value ZF and the operation and maintenance abnormal table value ZW are numerically calculated by the formula ZY=b1*ZF+b2*ZW to obtain the management execution evaluation value ZY; wherein b1 and b2 are preset weight coefficients, and the values ​​of b1 and b2 are both positive numbers; and the larger the value of the management execution evaluation value ZY is, the better the operation and maintenance management execution performance for all power frequency transformers in the operation and management area during the execution traceability period is;

[0070] The management execution evaluation value ZY is numerically compared with the preset management execution evaluation threshold. If the management execution evaluation value ZY exceeds the preset management execution evaluation threshold, indicating that the operation and maintenance management execution performance of all power frequency transformers in the operation management area during the execution tracing period is poor, then a management execution evaluation abnormal signal is generated; if the management execution evaluation value ZY does not exceed the preset management execution evaluation threshold, indicating that the operation and maintenance management execution performance of all power frequency transformers in the operation management area during the execution tracing period is good, then a management execution evaluation qualified signal is generated.

[0071] The working principle of the present invention is as follows: when in use, the operation of the power frequency transformer is monitored through the transformer monitoring module to collect the transformer operation and inspection package, the transformer health status assessment module receives the transformer operation and inspection package of the corresponding power frequency transformer and inputs it into the transformer health status assessment model, the transformer health status assessment model conducts real-time assessment of the current health status of the corresponding power frequency transformer, if it is determined that the corresponding power frequency transformer has a fault risk, the risk warning information is sent to the remote monitoring end through the early warning mechanism trigger module, so as to arrange the operation and maintenance personnel to take corresponding treatment measures in time to ensure the safe and stable operation of the corresponding power frequency transformer, and the area where the power frequency transformer management is required is marked as the operation and management area through the regional management arrangement decision module, the risk of the management arrangement for the operation and management area is judged through analysis, and the operation and maintenance personnel are adjusted in time when the management arrangement early warning signal is generated, which is conducive to the arrangement of the operation and maintenance personnel in the operation and management area, effectively ensuring the management safety of the operation and management area, and having a high degree of intelligence.

[0072] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A power frequency transformer safety early warning system based on data analysis, characterized in that: It includes transformer monitoring module, transformer health status assessment module, early warning mechanism trigger module, regional management arrangement decision module and remote supervision terminal; The transformer monitoring module monitors the operation of the power frequency transformer, collects the key parameter data of the power frequency transformer, and packages all the key parameter data of the corresponding power frequency transformer into a transformer operation and inspection package, and sends the transformer operation and inspection package of the corresponding power frequency transformer to the transformer health status assessment module; The transformer health status assessment module receives the transformer operation and inspection package of the corresponding power frequency transformer, and inputs the transformer operation and inspection package into the transformer health status assessment model. The transformer health status assessment model conducts a real-time assessment of the current health status of the corresponding power frequency transformer, determines whether the corresponding power frequency transformer has a fault risk, and sends the corresponding judgment result to the early warning mechanism trigger module; The early warning mechanism trigger module receives the judgment result of the transformer health status assessment module. If the corresponding power frequency transformer has a failure risk, the early warning mechanism trigger module generates risk warning information of the corresponding power frequency transformer and sends the risk warning information of the corresponding power frequency transformer to the remote monitoring end; The regional management arrangement decision module marks the area where the power frequency transformer management is required as the operation management area, and judges the management arrangement risk for the operation management area through analysis, and generates a management arrangement qualification signal or a management arrangement warning signal accordingly, and sends the management arrangement qualification signal or the management arrangement warning signal to the remote supervision end. When the remote supervision end receives the management arrangement warning signal, it will issue a corresponding warning.

2. The power frequency transformer safety early warning system based on data analysis according to claim 1 is characterized in that: The specific analysis process of the regional management arrangement decision module includes: The classification and marking information of all power frequency transformers in the operation and management area is obtained, and the total number of power frequency transformers and the total number of high-risk objects in the operation and management area are marked as the transformer total inspection value and the transformer risk inspection value respectively, and the transformer type inspection values ​​of all power frequency transformers in the operation and management area are averaged to obtain the transformer comprehensive condition value, and the transformer total inspection value, transformer risk inspection value and transformer comprehensive condition value are numerically calculated to obtain the transformer zone table value; And through regional multi-period risk analysis to obtain regional risk tracing values, and obtain the grade marking information of all operation and maintenance personnel responsible for the management of power frequency transformers in the operation and management area, and mark the total number of operation and maintenance personnel and the total number of excellent personnel in the operation and management area as the operation manager inspection value and the operation management excellent inspection value respectively, and calculate the average of the management grade values ​​of all operation and maintenance personnel to obtain the manager evaluation value; the operation manager inspection value, the operation management excellent inspection value and the manager evaluation value are numerically calculated to obtain the manager analysis value; The regional management risk coefficient is obtained by calculating the ratio of the transformer zone table value, the regional risk tracing value and the manager's analysis value. If the regional management risk coefficient exceeds the preset regional management risk coefficient threshold, a management arrangement warning signal is generated; if the regional management risk coefficient does not exceed the preset regional management risk coefficient threshold, a management arrangement qualified signal is generated.

3. The power frequency transformer safety early warning system based on data analysis according to claim 2 is characterized in that: The regional management arrangement decision module is connected to the transformer classification module and the operation and maintenance personnel classification module in communication. The transformer classification module classifies all the power frequency transformers in the operation and management area through analysis, thereby determining the high-risk objects and low-risk objects in the operation and management area, and sends the classification mark information of all the power frequency transformers to the regional management arrangement decision module; The operation and maintenance personnel classification module classifies all the operation and maintenance personnel responsible for the management of power frequency transformers in the operation and management area into grades through analysis, thereby determining the superior and inferior personnel in the operation and management area, and sending the grade marking information of all operation and maintenance personnel to the regional management arrangement decision module.

4. The power frequency transformer safety early warning system based on data analysis according to claim 3 is characterized in that: The specific analysis process of the transformer classification module is as follows: All power-frequency transformers in the transport and management area are obtained, and the corresponding power-frequency transformers are marked as control object i, where i is a natural number greater than 1; the total number of risk warning information generated for control object i during the detection period is collected and marked as the risk warning value, and the production date of control object i is collected, and the time difference between the current date and the production date of control object i is calculated to obtain the transformer storage time value; And collect all the maintenance moments for the control object i in the historical stage, calculate the time difference between two adjacent groups of maintenance moments to obtain the maintenance isolation value, and mark the number of maintenance isolation values ​​that exceed the preset maintenance isolation threshold in the historical stage as the maintenance isolation abnormality value; The transformer inspection value is obtained by numerically calculating the risk warning value, transformer storage time value and maintenance isolation abnormal condition value. If the transformer inspection value exceeds the preset transformer inspection threshold, the control object i is marked as a high-risk object; If the transformer inspection value does not exceed the preset transformer inspection threshold, the control object i is marked as a low-risk object.

5. The power frequency transformer safety early warning system based on data analysis according to claim 3 is characterized in that: The specific analysis process of the operation and maintenance personnel classification module is as follows: Obtain all the operation and maintenance personnel who are to be arranged to the operation and management area to perform operation and maintenance management of the power frequency transformer, and mark the corresponding operation and maintenance personnel as target personnel q, where q is a natural number greater than 1; The total time that the target person q performed the operation and maintenance management of the power frequency transformer in the historical stage is collected and marked as the transformer operation and maintenance condition value, and the total number of mistakes made by the target person q in the historical stage when performing the operation and maintenance management of the transformer is marked as the transformer operation and maintenance error value; The total absence time of the target personnel in the transformer operation and maintenance management position in the historical stage is collected, and the management level value is obtained by numerically calculating the transformer operation and maintenance condition value, the transformer operation and maintenance error value and the total absence time; if the management level value exceeds the preset management level threshold, the target personnel q is marked as a superior personnel; if the management level value does not exceed the preset management level threshold, the target personnel q is marked as an inferior personnel.

6. The power frequency transformer safety early warning system based on data analysis according to claim 2 is characterized in that: The specific analysis process of regional multi-period risk analysis is as follows: Several detection time periods are set within the detection period, and the total number of times risk warning information is generated for all power frequency transformers in the operation and management area within the corresponding detection period is collected and marked as the time period warning value, and the number of power frequency transformers that generate risk warning information in the corresponding detection period is marked as the time period number risk value. If the time period warning value or the time period number inspection value exceeds the corresponding preset threshold, the corresponding detection period is marked as a non-easy-to-manage period; The number ratio of the non-easy-to-manage time periods in the detection period is obtained and marked as the regional non-easy-to-manage coefficient, and the time period warning detection values ​​of all detection time periods in the detection period are averaged to obtain the time period warning analysis value, and the time period data risk values ​​of all detection time periods in the detection period are averaged to obtain the time period data analysis value; The regional risk tracing value is obtained by numerically calculating the regional non-manageable coefficient, the period warning value and the period analysis value.

7. The power frequency transformer safety early warning system based on data analysis according to claim 1 is characterized in that: When a qualified management arrangement signal is generated, the operation and maintenance management of the power frequency transformer in the operation and management area is performed according to the determined operation and maintenance personnel. The remote monitoring end communicates with the management execution evaluation module. The management execution evaluation module sets an execution tracing period of K1 days. When the number of days reaches K1, the operation and maintenance execution performance of the power frequency transformer in the operation and management area during the execution tracing period is analyzed. A qualified management execution evaluation signal or an abnormal management execution evaluation signal is generated through the analysis, and the qualified management execution evaluation signal or the abnormal management execution evaluation signal is sent to the remote monitoring end.

8. The power frequency transformer safety early warning system based on data analysis according to claim 7 is characterized in that: The specific analysis process of the management execution assessment module is as follows: The risk warning information of all power frequency transformers during the execution traceability period is obtained, and the generation time of the corresponding risk warning information is marked as the initial judgment time. The time when the operation and maintenance personnel complete the corresponding treatment measures for the risk warning information of the corresponding power frequency transformer is collected and marked as the end of execution time, and the interval between the end of execution time and the initial judgment time is marked as the operation and maintenance effectiveness value; The operation and maintenance efficiency value is numerically compared with the corresponding preset operation and maintenance efficiency threshold. If the operation and maintenance efficiency value exceeds the preset operation and maintenance efficiency threshold, the corresponding operation and maintenance efficiency value is marked as an operation and maintenance abnormality value, and the number of operation and maintenance abnormality values ​​during the execution traceability period is marked as an operation and maintenance abnormality detection value; The operation and maintenance abnormality value that exceeds the corresponding preset operation and maintenance efficiency threshold is marked as the operation and maintenance abnormality value, and the average of all operation and maintenance abnormality values ​​is marked as the operation and maintenance abnormality table value; the management execution evaluation value is obtained by numerically calculating the operation and maintenance abnormality value and the operation and maintenance abnormality table value. If the management execution evaluation value exceeds the preset management execution evaluation threshold, a management execution evaluation abnormal signal is generated; if the management execution evaluation value does not exceed the preset management execution evaluation threshold, a management execution evaluation qualified signal is generated.

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