Branch box transformer substation booster station remote monitoring and early warning system

Abstract

The invention provides a branch box transformer substation booster station remote monitoring and early warning system, which belongs to the technical field of control, and comprises the following steps: monitoring the current operation states of an equipment branch box, an equipment box transformer substation and an equipment booster station in real time, determining real-time information, and obtaining historical operation data of the equipment branch box, the equipment box transformer substation and the equipment booster station; analyzing the historical operation information to determine first data of each piece of information of each piece of equipment, and calculating a corresponding fitting value; determining a first range of each piece of first data based on the first data and the corresponding fitting value, and determining second data, lower limit historical data and upper limit historical data of each piece of first data; and sending early warning information to the operator based on the real-time information and the first range. The system can achieve the comprehensive monitoring of the operation state of the equipment, improves the operation efficiency and safety of the equipment, reduces the fault risk, reduces the maintenance cost, improves the accuracy and timeliness of early warning information, and improves the reliability and operation efficiency of a power system.

Description

Technical Field

[0001] The present invention relates to the field of control technology, and in particular to a remote monitoring and early warning system for a branch box transformer booster station. Background Art

[0002] Branch boxes, transformers and booster stations are used in power systems, involving all aspects of power transmission and distribution. In power transmission and distribution systems, they are used in power grid transmission and distribution networks; in industrial sites, they are used for power distribution and management in factories, industrial parks and other places; in commercial buildings, they are used for power distribution in commercial complexes, shopping centers, office buildings and other places; in residential areas, they are used for power supply in residential areas, and in renewable energy integration, they are used to achieve large-scale energy integration and power transmission. However, the current monitoring and early warning of branch boxes, transformers and booster stations have the problems of inaccurate and untimely early warning, poor system security and reliability, and low operating efficiency.

[0003] Therefore, the present invention provides a branch box transformer booster station remote monitoring and early warning system. Summary of the invention

[0004] The present invention provides a branch box, transformer and booster station remote monitoring and early warning system, which is used to determine the first data of each information of each device by analyzing the historical operation data of the equipment branch box, the equipment transformer and the equipment booster station, determine the fitting value, the first range, the second data, the lower limit historical data and the upper limit historical data of each first data, and issue early warning information in combination with real-time information, so as to realize comprehensive monitoring of the equipment operation status, improve the equipment operation efficiency and safety, reduce the risk of failure, reduce maintenance costs, improve the accuracy and timeliness of early warning information, and improve the reliability and operation efficiency of the power system.

[0005] The present invention provides a branch box transformer booster station remote monitoring and early warning system, comprising:

[0006] Monitoring module: real-time monitoring of the current operating status of the equipment branch box, equipment box transformer and equipment booster station, determining real-time information, and obtaining historical operating data of the equipment branch box, equipment box transformer and equipment booster station;

[0007] Analysis module: Analyze historical operation information to determine the first data of each type of information of each device, and calculate the corresponding fitting value;

[0008] A determination module: determining a first range of each first data based on the first data and the corresponding fitting value, and determining second data, lower limit historical data and upper limit historical data of each first data;

[0009] Early warning module: issues early warning information to operators based on real-time information and the first range.

[0010] According to a branch box transformer booster station remote monitoring and early warning system provided by the present invention, the real-time information includes real-time current data, real-time input voltage data, real-time output voltage data, real-time power data and real-time equipment temperature data of the equipment branch box, equipment transformer and equipment booster station;

[0011] The historical operation information includes all historical current information, historical input voltage information, historical output voltage information, historical power information and historical equipment temperature information of the equipment branch box, equipment box transformer and equipment booster station during normal historical operation time.

[0012] According to a branch box transformer booster station remote monitoring and early warning system provided by the present invention, the analysis module includes:

[0013] Extraction unit: extracting all historical data of each type of information of each device at the historical operation time from the historical operation data to determine the corresponding first data;

[0014] Fitting value unit: calculating corresponding fitting values ​​based on each first data respectively;

[0015]

[0016]

[0017] Where, 1≤i≤3, i=1 represents the equipment branch box, i=2 represents the equipment box transformer, i=3 represents the equipment booster station, 1≤j≤5, j=1 represents the historical current information of the equipment, j=2 represents the historical input voltage information of the equipment, j=3 represents the historical output voltage information of the equipment, j=4 represents the historical power information of the equipment, j=5 represents the historical equipment temperature information of the equipment, F ij represents the fitting value of the first data corresponding to the j information of device i, ijN1 represents the number of historical data in the first data corresponding to the j information of device i, and F ijk represents the kth historical data in the first data corresponding to the jth information of device i, F ijmax 、F ijmin They respectively represent the largest historical data and the smallest historical data in the first data corresponding to the j information of the device i, represents the average value of the first data corresponding to the j information of device i, σ ijk 2 represents the square of the variance of the first data corresponding to the j information of device i, σ ijmax 2 , σ ijmin 2 Respectively represent the square of the variance corresponding to the largest historical data and the smallest historical data, represents the first sub-fit value of the first data corresponding to the j information of device i, Indicates the second sub-fit value of the first data corresponding to the j information of device i.

[0018] According to a branch box transformer booster station remote monitoring and early warning system provided by the present invention, the determination module includes:

[0019] Warning lower limit unit: determines the warning lower limit of the corresponding first data based on the minimum historical data, the square of the variance, and the average value in each first data;

[0020]

[0021] Among them, WL1 ij Indicates the lower limit of the warning of the first data corresponding to the j information of device i, k1 ij 、k2 ij respectively represent the first adjustment parameter and the second adjustment parameter of the first data corresponding to the j information of the device i, respectively represent a first minimum value and a second minimum value of the first data corresponding to information j of device i;

[0022] Warning upper limit unit: determines the warning upper limit of the corresponding first data based on the maximum historical data, the square of the variance, and the average value in each first data;

[0023]

[0024] Among them, WU1 ij Indicates the warning lower limit of the first data corresponding to the j information of device i, respectively represent the first maximum value and the second maximum value of the first data corresponding to the j information of the device i;

[0025] A first range unit determines a first range of each first data based on a warning lower limit and a warning upper limit of the first data.

[0026] According to a branch box transformer booster station remote monitoring and early warning system provided by the present invention, the determination module includes:

[0027] Sort each historical data and the corresponding fitting value in the first data from small to large to determine the second data corresponding to the first data;

[0028] Determine whether there is historical data in the second data that is the same as the corresponding warning lower limit. If yes, select and determine the historical data that is the same as the corresponding warning lower limit as the lower limit historical data. If no, select and determine the historical data that is closest to the warning lower limit as the lower limit historical data.

[0029] Determine whether there is historical data in the second data that is the same as the corresponding warning upper limit. If so, select and determine the historical data that is the same as the corresponding warning upper limit as the upper limit historical data. If not, select and determine the historical data closest to the warning upper limit as the upper limit historical data.

[0030] A remote monitoring and early warning system for a branch box transformer booster station provided according to the present invention is characterized in that the early warning information includes abnormal alarms and predictive alarms.

[0031] According to a branch box transformer booster station remote monitoring and early warning system provided by the present invention, the early warning module includes:

[0032] Determine respectively whether each real-time data in the real-time information is within a first range of the corresponding first data;

[0033] If at least one real-time data is not within the first range of the corresponding first data, an abnormal alarm is issued, wherein the abnormal alarm includes early warning indications of all real-time data that are not within the first range of the corresponding first data.

[0034] According to a branch box transformer booster station remote monitoring and early warning system provided by the present invention, the early warning module also includes:

[0035] If all real-time data are within the first range of the corresponding first data;

[0036] Determine whether there is historical data in the corresponding second data that is the same as the real-time data in the real-time information; if yes, select the historical data to be determined as the first real-time data; if no, select the historical data closest to the real-time data to be determined as the first real-time data;

[0037] Calculate the warning value of the real-time data based on each first real-time data in the real-time information and the fitting value of the corresponding first data, the lower limit historical data of the corresponding second data, and the upper limit historical data;

[0038]

[0039] Among them, WV represents the warning value of real-time information, Y ij The first real-time data representing the j information of device i, WL2 ij 、WU2 ij They represent the lower limit historical data and upper limit historical data of information j of device i, respectively. ij The position of the first real-time data corresponding to the real-time data of information j of device i in the second data, P1 ij 、P2 ij 、P3 ijRespectively represent the fitting value, lower limit historical data, and upper limit historical data of device i in the second data, β1 ij , β2 ij , β3 ij The first attenuation factor, the second attenuation factor, and the third attenuation factor respectively represent the j information of the device i;

[0040] A prediction alarm of the real-time information is issued based on the warning value.

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] By analyzing the historical operating data of the equipment branch box, equipment box transformer and equipment booster station, the first data of each information of each equipment is determined, and the fitting value, first range, second data, lower limit historical data and upper limit historical data of each first data are determined. Early warning information is issued in combination with real-time information. This can achieve comprehensive monitoring of the equipment operating status, improve the equipment's operating efficiency and safety, reduce the risk of failure, reduce maintenance costs, improve the accuracy and timeliness of early warning information, and improve the reliability and operating efficiency of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0044] Figure 1 It is a structural schematic diagram of a branch box transformer booster station remote monitoring and early warning system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are 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.

[0046] Embodiment 1:

[0047] The embodiment of the present invention provides a remote monitoring and early warning system for a branch box transformer booster station, such as Figure 1 As shown, including:

[0048] Monitoring module: real-time monitoring of the current operating status of the equipment branch box, equipment box transformer and equipment booster station, determining real-time information, and obtaining historical operating data of the equipment branch box, equipment box transformer and equipment booster station;

[0049] Analysis module: Analyze historical operation information to determine the first data of each type of information of each device, and calculate the corresponding fitting value;

[0050] A determination module: determining a first range of each first data based on the first data and the corresponding fitting value, and determining second data, lower limit historical data and upper limit historical data of each first data;

[0051] Early warning module: issues early warning information to operators based on real-time information and the first range.

[0052] In this embodiment, the device branch box is generally used for branching and connecting electrical equipment. It is a branch point in the power system. In the distributed power system, the device branch box transmits power to different terminal devices or branches. It usually contains switches, fuses and other equipment for controlling, connecting and protecting circuits.

[0053] In this embodiment, the equipment box transformer is the abbreviation of "equipment transformer", which is used to convert the voltage in the power system from one voltage level to another voltage level. The equipment box transformer can convert high voltage to low voltage, or vice versa, to adapt to the voltage requirements of different parts or equipment. It plays a role in voltage regulation and distribution in the power system.

[0054] In this embodiment, the equipment booster station refers to a facility that boosts low voltage in the power system to high voltage. These stations are usually used for long-distance power transmission or when the voltage needs to be boosted during the transmission process to reduce transmission losses. The equipment booster station includes a booster transformer and related control and protection equipment to ensure that electricity is safely transmitted from a power station or substation to a distant destination.

[0055] In this embodiment, sensors are used to obtain the current operating status of the equipment branch box, equipment box transformer and equipment booster station in real time.

[0056] In this embodiment, the historical operation information is usually stored in a database or a data warehouse, including all historical data of the equipment branch box, the equipment box transformer and the equipment booster station under the historical operation time.

[0057] The beneficial effects of the above technical solution are as follows: by analyzing the historical operating data of the equipment branch box, the equipment box transformer and the equipment booster station, the first data of each information of each equipment is determined, the fitting value, the first range, the second data, the lower limit historical data and the upper limit historical data of each first data are determined, and early warning information is issued in combination with real-time information. This can achieve comprehensive monitoring of the equipment operating status, improve the equipment's operating efficiency and safety, reduce the risk of failure, reduce maintenance costs, improve the accuracy and timeliness of early warning information, and improve the reliability and operating efficiency of the power system.

[0058] Embodiment 2:

[0059] The embodiment of the present invention provides a remote monitoring and early warning system for a branch box, a box transformer and a booster station, wherein the real-time information includes real-time current data, real-time input voltage data, real-time output voltage data, real-time power data and real-time equipment temperature data of the equipment branch box, the equipment box transformer and the equipment booster station;

[0060] The historical operation information includes all historical current information, historical input voltage information, historical output voltage information, historical power information and historical equipment temperature information of the equipment branch box, equipment box transformer and equipment booster station during normal historical operation time.

[0061] In this embodiment, the real-time input voltage data refers to the voltage value of the power input terminal received by the device, and this value reflects the power quality and voltage stability received by the device.

[0062] In this embodiment, the real-time output voltage data refers to the voltage value at the output end of the device, which affects the stability and efficiency of the power supply of the device and is also an important indicator for ensuring the normal operation of the receiving-end device.

[0063] In this embodiment, the real-time power data represents the electrical power output or consumption of the device at the current moment. Electrical power is an important indicator for measuring the energy conversion efficiency and operating status of the device.

[0064] In this embodiment, the real-time device temperature data refers to the temperature of the device at the current moment. The device temperature directly affects its performance and lifespan, and is a key monitoring indicator for preventing overheating and damage.

[0065] In this embodiment, the historical current information records all current values ​​of the equipment branch box, equipment box transformer, and equipment booster station during the historical operation time.

[0066] In this embodiment, the historical input voltage information records all voltage data of the input terminal of the device during the historical operating time.

[0067] In this embodiment, the historical output voltage information records all historical data of voltage values ​​at the output terminal of the device during historical operating time.

[0068] In this embodiment, the historical power information records the power output status of the device during the historical operating time.

[0069] In this embodiment, the historical device temperature information records the temperature changes of the device during the historical operating time.

[0070] The beneficial effects of the above technical solution are as follows: by determining real-time information and historical operation information, the equipment branch box, equipment box transformer and equipment booster station can be remotely monitored in real time, thereby improving the data basis for issuing early warning information.

[0071] Embodiment 3:

[0072] An embodiment of the present invention provides a remote monitoring and early warning system for a branch box transformer booster station, wherein the analysis module comprises:

[0073] Extraction unit: extracting all historical data of each type of information of each device at the historical operation time from the historical operation data to determine the corresponding first data;

[0074] Fitting value unit: calculates the corresponding fitting value based on each first data;

[0075]

[0076]

[0077] Where, 1≤i≤3, i=1 represents the equipment branch box, i=2 represents the equipment box transformer, i=3 represents the equipment booster station, 1≤j≤5, j=1 represents the historical current information of the equipment, j=2 represents the historical input voltage information of the equipment, j=3 represents the historical output voltage information of the equipment, j=4 represents the historical power information of the equipment, j=5 represents the historical equipment temperature information of the equipment, F ij represents the fitting value of the first data corresponding to the j information of device i, ijN1 represents the number of historical data in the first data corresponding to the j information of device i, and F ijk represents the kth historical data in the first data corresponding to the jth information of device i, F ijmax 、F ijmin They respectively represent the largest historical data and the smallest historical data in the first data corresponding to the j information of the device i, represents the average value of the first data corresponding to the j information of device i, σ ijk 2 represents the square of the variance of the first data corresponding to the j information of device i, σ ijmax 2 , σ ijmin 2 Respectively represent the square of the variance corresponding to the largest historical data and the smallest historical data, represents the first sub-fit value of the first data corresponding to the j information of device i, Indicates the second sub-fit value of the first data corresponding to the j information of device i.

[0078] In this embodiment, each type of information of each device corresponds to a first data, and the first data includes all historical data of the corresponding information of the corresponding device in the historical running time.

[0079] In this embodiment, each type of information of each device corresponds to a fitting value, and the fitting value is calculated based on all historical data of the corresponding information of the corresponding device.

[0080] In this embodiment, the fitting value may represent all historical data in the corresponding first data, for example: ij It can represent all historical data in the first data corresponding to the j information of device i.

[0081] In this embodiment, the first sub-fitting value and the second sub-fitting value are parts of the fitting value.

[0082] The beneficial effects of the above technical solution are as follows: by analyzing historical operation information to determine the first data of each type of information of each device and calculating the corresponding fitting value, a data basis can be provided for determining the first range of each type of information of each device, thereby improving the accuracy of data analysis and improving the accuracy and timeliness of early warning information.

[0083] Embodiment 4:

[0084] An embodiment of the present invention provides a remote monitoring and early warning system for a branch box transformer booster station, wherein the determination module comprises:

[0085] Warning lower limit unit: determines the warning lower limit of the corresponding first data based on the minimum historical data, the square of the variance, and the average value in each first data;

[0086]

[0087] Among them, WL1 ij Indicates the lower limit of the warning of the first data corresponding to the j information of device i, k1 ij , k2 ij respectively represent the first adjustment parameter and the second adjustment parameter of the first data corresponding to the j information of the device i, respectively represent a first minimum value and a second minimum value of the first data corresponding to information j of device i;

[0088] Warning upper limit unit: determines the warning upper limit of the corresponding first data based on the maximum historical data, the square of the variance, and the average value in each first data;

[0089]

[0090] Among them, WU1 ij Indicates the warning lower limit of the first data corresponding to the j information of device i, respectively represent the first maximum value and the second maximum value of the first data corresponding to the j information of the device i;

[0091] A first range unit determines a first range of each first data based on a warning lower limit and a warning upper limit of the first data.

[0092] In this embodiment, the first adjustment parameter and the second adjustment parameter are both constants.

[0093] In this embodiment, the warning lower limit is a calculated threshold value, which means that when the real-time data corresponding to the warning lower limit is higher or lower than this value, the system should issue a corresponding warning.

[0094] In this embodiment, the warning upper limit is a calculated threshold value, which means that when the real-time data corresponding to the warning upper limit is higher or lower than this value, the system should issue a corresponding warning.

[0095] In this embodiment, the first range is an interval determined by the warning lower limit and the warning upper limit [WL ij , W.U. ij ] indicates the normal operating range. When the real-time data is within this range, it means that the device is operating normally. When the real-time data exceeds this range, it means that the device may be abnormal and needs attention.

[0096] In this embodiment, one type of information of one device corresponds to one warning lower limit, one warning upper limit, and one first range.

[0097] The beneficial effect of the above technical solution is as follows: by determining the first range of the corresponding first data through each first data and the corresponding fitting value, it is possible to flexibly adapt to the different information requirements of different devices, and further improve the accuracy and reliability of the early warning information.

[0098] Embodiment 5:

[0099] An embodiment of the present invention provides a remote monitoring and early warning system for a branch box transformer booster station, wherein the determination module comprises:

[0100] Sort each historical data and the corresponding fitting value in the first data from small to large to determine the second data corresponding to the first data;

[0101] Determine whether there is historical data in the second data that is the same as the corresponding warning lower limit. If yes, select and determine the historical data that is the same as the corresponding warning lower limit as the lower limit historical data. If no, select and determine the historical data that is closest to the warning lower limit as the lower limit historical data.

[0102] Determine whether there is historical data in the second data that is the same as the corresponding warning upper limit. If so, select and determine the historical data that is the same as the corresponding warning upper limit as the upper limit historical data. If not, select and determine the historical data closest to the warning upper limit as the upper limit historical data.

[0103] In this embodiment, the fitting values ​​corresponding to the first data and all the historical data in the first data are sorted from small to large. For example, the number of historical data in the first data corresponding to the j information of device i is ijN1, and the ijN1 historical data and the fitting values ​​are sorted from small to large, that is, the ijN1+1 data values ​​are sorted from small to large, and the sorted ijN1+1 data values ​​are determined to be the second data.

[0104] In this embodiment, the lower limit historical data is the historical data in the corresponding second data that is the same as or most recent to the warning lower limit.

[0105] In this embodiment, the upper limit historical data is the historical data in the corresponding second data that is the same as or most recent to the warning upper limit.

[0106] The beneficial effects of the above technical solution are as follows: by determining the second data, the lower limit historical data and the upper limit historical data of each first data, a data basis can be provided for calculating the warning value of real-time information, thereby further improving the accuracy of data analysis, reducing the risk of failure, reducing maintenance costs, and improving the accuracy and reliability of predictive alarms in warning information.

[0107] Embodiment 6:

[0108] An embodiment of the present invention provides a branch box transformer booster station remote monitoring and early warning system, wherein the early warning information includes abnormal alarms and prediction alarms.

[0109] In this embodiment, the abnormal alarm refers to the situation where the system detects that any real-time data in the real-time information deviates from the corresponding first range. When the real-time data exceeds the preset first range, the system will issue an abnormal alarm to prompt the user that they may need to pay attention to and deal with the current abnormal state. For example, when the device current exceeds the preset upper or lower limit, the system will issue an abnormal alarm to indicate that the device may be operating abnormally.

[0110] In this embodiment, the predictive alarm is a situation where the system detects that all real-time data in the real-time information does not deviate from the corresponding first range. By calculating the warning value, it prompts the possibility of abnormal situations or exceeding the normal range that may occur in the future. For example, if the warning value is high, the system will issue a predictive alarm to notify the user of possible problems in advance so that preventive measures can be taken or the operation plan can be adjusted.

[0111] The beneficial effects of the above technical solution are as follows: by determining the content of the early warning information, comprehensive monitoring of the equipment operating status can be achieved, the operating efficiency and safety of the equipment can be improved, the risk of failure can be reduced, the maintenance cost can be reduced, the accuracy and timeliness of the early warning information can be improved, and the reliability and operating efficiency of the power system can be improved.

[0112] Embodiment 7:

[0113] An embodiment of the present invention provides a remote monitoring and early warning system for a branch box transformer booster station, wherein the early warning module comprises:

[0114] Determine respectively whether each real-time data in the real-time information is within a first range of the corresponding first data;

[0115] If at least one real-time data is not within the first range of the corresponding first data, an abnormal alarm is issued, wherein the abnormal alarm includes early warning indications of all real-time data that are not within the first range of the corresponding first data.

[0116] In this embodiment, if there is one of all the real-time data in the real-time information that is not within the corresponding first range, an abnormal alarm is issued.

[0117] In this embodiment, the abnormal alarm is composed of abnormal alarm sounds corresponding to all real-time data that are not within the corresponding first range. The more real-time data that are not within the corresponding first range, the longer the abnormal alarm time.

[0118] The beneficial effects of the above technical solution are as follows: by determining the abnormal alarms in the early warning information, operators can take preventive measures through the abnormal alarms, respond to equipment abnormalities in a timely manner, reduce downtime and losses, and improve the reliability and operation efficiency of the power system.

[0119] Embodiment 8:

[0120] An embodiment of the present invention provides a branch box transformer booster station remote monitoring and early warning system, wherein the early warning module further includes:

[0121] If all real-time data are within the first range of the corresponding first data;

[0122] Determine whether there is historical data in the corresponding second data that is the same as the real-time data in the real-time information; if yes, select the historical data to be determined as the first real-time data; if no, select the historical data closest to the real-time data to be determined as the first real-time data;

[0123] Calculate the warning value of the real-time data based on each first real-time data in the real-time information and the fitting value of the corresponding first data, the lower limit historical data of the corresponding second data, and the upper limit historical data;

[0124]

[0125] Among them, WV represents the warning value of real-time information, Y ij The first real-time data representing the j information of device i, WL2 ij 、WU2 ij They represent the lower limit historical data and upper limit historical data of information j of device i, respectively. ij The position of the first real-time data corresponding to the real-time data of information j of device i in the second data, P1 ij 、P2 ij 、P3 ij Respectively represent the fitting value, lower limit historical data, and upper limit historical data of device i in the second data, β1 ij , β2 ij , β3 ij The first attenuation factor, the second attenuation factor, and the third attenuation factor respectively represent the j information of the device i;

[0126] A prediction alarm of the real-time information is issued based on the warning value.

[0127] In this embodiment, the warning value is calculated based on the corresponding first real-time data, fitting value, lower limit historical data, upper limit historical data, the first real-time data and the fitting value, lower limit historical data, and upper limit historical data in the corresponding second data.

[0128] In this embodiment, |L ij -P1 ij | represents the difference between the first real-time data of the j information of device i and the position of the fitted value in the second data. The closer the position of the first real-time data in the second data is to the fitted value, that is, |L ij -P1 ij The smaller the value of |, The smaller the value, the farther the position of the first real-time data in the second data is from the fitting value, that is, |L ij -P1 ij The larger the value of |, The bigger.

[0129] In this embodiment, (L ij -P2 ij ) represents the difference between the first real-time data of the j information of device i and the lower limit historical data in the second data. The first real-time data is within the corresponding first range, so the position of the first real-time data in the second data must be after the position of the lower limit historical data. The closer the position of the first real-time data in the second data is to the lower limit historical data, that is, (L ij -P2 ij ) is smaller, The smaller the value is, the farther the position of the first real-time data in the second data is from the lower limit historical data, that is, (L ij -P2 ij ) value is larger, The bigger.

[0130] In this embodiment, (P3 ij -L ij ) represents the difference between the first real-time data of the j information of device i and the upper limit historical data in the second data. The first real-time data is within the corresponding first range, so the position of the first real-time data in the second data must be before the position of the upper limit historical data. The closer the position of the first real-time data in the second data is to the upper limit historical data, that is, (P3 ij -L ij ) is smaller, The smaller the value is, the farther the position of the first real-time data in the second data is from the upper limit historical data, that is, (P3 ij -L ij ) value is larger, The bigger.

[0131] In this embodiment, the larger the warning value is, the longer the predicted alarm time is.

[0132] The beneficial effects of the above technical solution are as follows: by determining the predictive alarms in the early warning information, potential problems can be identified in advance, making it easier for operators to take preventive measures, reduce the risk of failure, reduce maintenance costs, improve the operating efficiency and safety of equipment, and improve the reliability and operating efficiency of the power system.

[0133] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0134] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0135] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A remote monitoring and early warning system for a branch box transformer booster station, characterized in that: include: Monitoring module: real-time monitoring of the current operating status of the equipment branch box, equipment box transformer and equipment booster station, determining real-time information, and obtaining historical operating data of the equipment branch box, equipment box transformer and equipment booster station; Analysis module: Analyze historical operation information to determine the first data of each type of information of each device, and calculate the corresponding fitting value; A determination module: determining a first range of each first data based on the first data and the corresponding fitting value, and determining second data, lower limit historical data and upper limit historical data of each first data; Early warning module: issues early warning information to operators based on real-time information and the first range.

2. According to claim 1, a branch box transformer booster station remote monitoring and early warning system is characterized in that: The real-time information includes real-time current data, real-time input voltage data, real-time output voltage data, real-time power data and real-time equipment temperature data of the equipment branch box, equipment box transformer and equipment booster station; The historical operation information includes all historical current information, historical input voltage information, historical output voltage information, historical power information and historical equipment temperature information of the equipment branch box, equipment box transformer and equipment booster station during normal historical operation time.

3. A remote monitoring and early warning system for branch box transformer substation according to claim 2, characterized in that: The analysis module comprises: Extraction unit: extracting all historical data of each type of information of each device at the historical operation time from the historical operation data to determine the corresponding first data; Fitting value unit: calculates the corresponding fitting value based on each first data; Where, 1≤i≤3, i=1 represents the equipment branch box, i=2 represents the equipment box transformer, i=3 represents the equipment booster station, 1≤j≤5, j=1 represents the historical current information of the equipment, j=2 represents the historical input voltage information of the equipment, j=3 represents the historical output voltage information of the equipment, j=4 represents the historical power information of the equipment, j=5 represents the historical equipment temperature information of the equipment, F ij represents the fitting value of the first data corresponding to the j information of device i, ijN1 represents the number of historical data in the first data corresponding to the j information of device i, and F ijk represents the kth historical data in the first data corresponding to the jth information of device i, F ijmax 、F ijmin They respectively represent the largest historical data and the smallest historical data in the first data corresponding to the j information of the device i, represents the average value of the first data corresponding to the j information of device i, σ ijk 2 represents the square of the variance of the first data corresponding to the j information of device i, σ ijmax 2 , σ ijmin 2 Respectively represent the square of the variance corresponding to the largest historical data and the smallest historical data, represents the first sub-fit value of the first data corresponding to the j information of device i, Indicates the second sub-fit value of the first data corresponding to the j information of device i.

4. A remote monitoring and early warning system for branch box transformer substation according to claim 3, characterized in that: The determining module comprises: Warning lower limit unit: determines the warning lower limit of the corresponding first data based on the minimum historical data, the square of the variance, and the average value in each first data; Among them, WL1 ij Indicates the lower limit of the warning of the first data corresponding to the j information of device i, k1 ij 、k2 ij respectively represent the first adjustment parameter and the second adjustment parameter of the first data corresponding to the j information of the device i, respectively represent a first minimum value and a second minimum value of the first data corresponding to information j of device i; Warning upper limit unit: determines the warning upper limit of the corresponding first data based on the maximum historical data, the square of the variance, and the average value in each first data; Among them, WU1 ij Indicates the warning lower limit of the first data corresponding to the j information of device i, respectively represent the first maximum value and the second maximum value of the first data corresponding to the j information of the device i; A first range unit determines a first range of each first data based on a warning lower limit and a warning upper limit of the first data.

5. A remote monitoring and early warning system for branch box transformer substation according to claim 4, characterized in that: The determining module comprises: Sort each historical data and the corresponding fitting value in the first data from small to large to determine the second data corresponding to the first data; Determine whether there is historical data in the second data that is the same as the corresponding warning lower limit. If yes, select and determine the historical data that is the same as the corresponding warning lower limit as the lower limit historical data. If no, select and determine the historical data that is closest to the warning lower limit as the lower limit historical data. Determine whether there is historical data in the second data that is the same as the corresponding warning upper limit. If so, select and determine the historical data that is the same as the corresponding warning upper limit as the upper limit historical data. If not, select and determine the historical data closest to the warning upper limit as the upper limit historical data.

6. A remote monitoring and early warning system for branch box transformer substation according to claim 5, characterized in that: The warning information includes abnormal alarms and prediction alarms.

7. A remote monitoring and early warning system for branch box transformer substation according to claim 6, characterized in that: The early warning module comprises: Determine respectively whether each real-time data in the real-time information is within a first range of the corresponding first data; If at least one real-time data is not within the first range of the corresponding first data, an abnormal alarm is issued, wherein the abnormal alarm includes early warning indications of all real-time data that are not within the first range of the corresponding first data.

8. A remote monitoring and early warning system for branch box transformer substation according to claim 6, characterized in that: The early warning module further includes: If all real-time data are within the first range of the corresponding first data; Determine whether there is historical data in the corresponding second data that is the same as the real-time data in the real-time information; if yes, select the historical data to be determined as the first real-time data; if no, select the historical data closest to the real-time data to be determined as the first real-time data; Calculate the warning value of the real-time data based on each first real-time data in the real-time information and the fitting value of the corresponding first data, the lower limit historical data of the corresponding second data, and the upper limit historical data; Among them, WV represents the warning value of real-time information, Y ij The first real-time data representing the j information of device i, WL2 ij 、WU2 ij They represent the lower limit historical data and upper limit historical data of information j of device i, respectively. ij The position of the first real-time data corresponding to the real-time data of information j of device i in the second data, P1 ij 、P2 ij 、P3 ij Respectively represent the fitting value, lower limit historical data, and upper limit historical data of device i in the second data, β1 ij , β2 ij , β3 ij The first attenuation factor, the second attenuation factor, and the third attenuation factor respectively represent the j information of the device i; A prediction alarm of the real-time information is issued based on the warning value.

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