Substation electric power remote monitoring system and method based on wireless communication

Abstract

The invention discloses a substation electric power remote monitoring system and method based on wireless communication, and relates to the technical field of electric power equipment monitoring, the substation is divided into regions, the operating environment parameters of electric power equipment in each management region are monitored, and the operating environment evaluation value of the electric power equipment in each management region is obtained; the method comprises the following steps: enabling power equipment in an abnormal operation state to correspond to power equipment operation environment characteristics, constructing an abnormal characteristic group through a corresponding relation between the power equipment and the power equipment operation environment characteristics, and when capturing that the power equipment in a certain management area operates abnormally, improving the power equipment operation efficiency in the certain management area. According to the method, the collection frequency of the collector corresponding to the power equipment with the abnormal operation state is determined, the increased network load after the data collection frequency is increased is predicted, and the collection frequency of the collectors in other management areas is reduced, so that the data flow in the power equipment management network is not changed.

Description

Technical Field

[0001] The present invention relates to the technical field of power equipment monitoring, and in particular to a substation power remote monitoring system and method based on wireless communication. Background Art

[0002] Power equipment management is an important part of the power system. In order to ensure the normal operation and safety and reliability of power equipment, it is necessary to carry out scientific, standardized and systematic operation management of power equipment. With the development of the Internet of Things, the management of power equipment has gradually changed from on-site management to remote management. For example, the collector used to collect the operating parameters of power equipment is connected to the network to realize remote meter reading, and the operating data of power equipment is remotely monitored through the computer system.

[0003] In current technology, in order to facilitate the deployment of data collectors, wireless networks are often used to network the collectors. For example, zigbee, GPRS, 4G, 5G and WLAN are all commonly used networking methods. When power equipment is abnormal, the relevant managers want to pay closer attention to the power equipment operating parameters in the area where the abnormal power equipment is located, and often increase the frequency of data collection. Increasing the frequency of data collection also increases the load of the network, causing network congestion. The relevant managers cannot obtain the power equipment operating parameters in the area where the abnormal power equipment is located in a timely manner. Summary of the invention

[0004] The object of the present invention is to provide a substation power remote monitoring system and method based on wireless communication to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a substation power remote monitoring method based on wireless communication.

[0006] Step S100: performing regional division according to the distribution of power equipment in the substation, dividing the substation into several management areas, wherein one power equipment corresponds to one management area, monitoring the environmental parameters of the power equipment in each management area, and obtaining the operating environment evaluation value of the power equipment in each management area by evaluating the environmental parameters;

[0007] Step S200: Obtaining abnormal operation records of power equipment in each management area of ​​the substation from historical operation records of the power equipment, matching power equipment in abnormal operation state with power equipment operation environment characteristics, and constructing an abnormal feature group through the correspondence between power equipment and power equipment operation environment characteristics;

[0008] Step S300: connecting a collector for collecting operating parameters of power equipment to the power equipment management network of the substation, and when abnormal operation of power equipment in a certain management area is detected, increasing the collection frequency of the collector corresponding to the power equipment with abnormal operation in the certain management area, and predicting the increased network load after increasing the data collection frequency;

[0009] Step S400: reducing the collection frequency of collectors in other management areas of the substation, reducing the network load on the power equipment management network caused by the amount of data sent from other management areas, so that the data flow in the power equipment management network remains unchanged.

[0010] Furthermore, step S100 includes:

[0011] Step S101: a plurality of environmental parameter monitors are set in each management area, and in each management area, location information of the environmental parameter monitors included in the management area is marked;

[0012] Step S102: convert the value actually measured by the environmental parameter monitor into monitoring data, so that when the operating environment of the power equipment is more abnormal, the value of the monitoring data is larger, and all monitoring data are required to be greater than or equal to 0, and set the first alarm threshold q1 and the second alarm threshold q2 of the environmental parameter monitor to meet the condition q2>q1;

[0013] Step S103: taking any management area in the substation as a target management area, obtaining monitoring data of each environmental parameter monitor in the target management area, and calculating a first evaluation parameter γ1 of the target management area, γ1=(n1-n2) / (N-n2), wherein n1 is the number of environmental parameter monitors in the target management area whose monitoring data is greater than the first alarm threshold, n2 is the number of environmental parameter monitors in the target management area whose monitoring data is greater than the second alarm threshold, and N is the total number of environmental parameter monitors in the target management area;

[0014] Due to the relationship of q2>q1, the value greater than q2 must be greater than q1, so it is necessary to analyze the number of monitors with monitoring values ​​greater than q2 and the number of monitors with monitoring values ​​greater than q1 and less than q2 separately;

[0015] (n1-n2) / (N-n2) represents the ratio of the number of monitors with monitoring values ​​greater than q1 and less than q2 to the total number of monitors excluding the number of monitors with monitoring values ​​greater than q2;

[0016] Step S104: normalize and adjust the monitoring data exceeding the second alarm threshold in the target management area, and accumulate the normalized and adjusted monitoring data to obtain a second evaluation parameter γ2 of the target management area, wherein the normalization adjustment method is: where y out is the value of the adjusted monitoring data, x in represents the input value of the monitoring data, b is a parameter, and satisfies the condition 0<b≤1;

[0017] Here y out is a monotonically increasing function, with a horizontal asymptote of y = 1, and b is a parameter. When b approaches 0, y out The slower the increase, the closer b is to 1, y out The more rapid the increase;

[0018] Step S105: Calculate the operating environment evaluation value EST of the target area, where

[0019] γ1 is used to evaluate the number of monitors exceeding the first alarm threshold. When the number of monitors exceeding the first alarm threshold is larger, γ1 is larger. γ2 is used to evaluate the measurement data exceeding the second alarm threshold. When the measurement data exceeding the second alarm threshold is larger, γ2 is larger.

[0020] When n2 is large, it means that there are serious equipment operation problems in the management area, and the priority of γ2 will increase. Even if the number of monitors exceeding the first alarm threshold is small, the obtained EST will be large;

[0021] EST is used to measure the severity of the operating environment of power equipment in the management area. The larger the EST is, the worse the operating environment of the power equipment in the management area is.

[0022] Further, step S200 includes:

[0023] Step S201: in the abnormal operation record of the power equipment, the time when the power equipment is in the abnormal operation state is set as the abnormal time, and the monitoring data of each environmental parameter monitor in the management area corresponding to the power equipment in the abnormal operation state during the abnormal time is obtained;

[0024] Step S202: Record the data in the monitoring data that is greater than or equal to the first alarm threshold and less than the second alarm threshold into the data group m1, record the data in the monitoring data that is greater than or equal to the second alarm threshold into the data group m2, record the environmental parameter monitors corresponding to each data group in m1 into the detector group M1, record the environmental parameter monitors corresponding to each data group in m2 into the detector group M2, and record the location information of each environmental parameter monitor in M1 into the detector group L M1, record the location information of each environmental parameter monitor in M2 into L M2 , when there is abnormal operation of power equipment in the management area, L M1 As the first abnormal feature, L M2 As a second abnormal feature;

[0025] Step S203: When the kth power device in a certain management area is in an abnormal operation state, the kth power device and the first abnormal feature and the second abnormal feature are combined into an abnormal feature group abn k , abn k (dev k , L M1 k , L M2 k ), where dev k , L M1 k and L M2 k To form the abnormal feature group abn k Elements of dev k is the kth power device, L M1 k is the first abnormal feature when the kth power device is in an abnormal operating state, L M2 k is a second abnormal feature when the k-th electric power equipment is in an abnormal operating state.

[0026] Furthermore, step S300 includes:

[0027] Step S301: Acquire monitoring data of each management area, and when the monitoring data satisfies both the first abnormal feature and the second abnormal feature, determine that the power equipment is operating abnormally, search for power equipment in the abnormal feature group through the abnormal feature group corresponding to the first abnormal feature and the second abnormal feature, and set the power equipment as the target power equipment;

[0028] Step S302: The moment when the abnormal operation of the power equipment in a certain management area DT is captured is recorded as t0, and the operation parameter collection history record of the target power equipment in the management area DT in the T1 time period before t0 is obtained, and the collection frequency f1 of the operation parameters of the target power equipment in the T1 time period is calculated, where f1=collect1 / T1, collect1 is the number of times the operation parameters of the target power equipment in the management area DT are collected in the T1 time period;

[0029] Step S303: Calculate the operating environment evaluation value EST of the management area DT DT, calculate the acquisition frequency f2 of the adjusted operating parameters of the collector corresponding to the target power equipment in the management area DT, where f2 = (1 + EST DT )×f1;

[0030] Step S304: Calculate the predicted value C of the increased network load after adjustment raise , C raise =CT1×(f2-f1), where CT1 represents the average data volume of power equipment operating parameters collected in the management area DT during the T1 time period.

[0031] Furthermore, step S400 includes:

[0032] Step S401: obtaining the network terminal ter connected to the collector in the management area DT from the topological structure of the power equipment management network, and obtaining all management areas connected to the network terminal ter;

[0033] Step S402: Calculate the operating environment evaluation values ​​of the remaining management areas after excluding the management area DT in all the management areas connected to ter, arrange the operating environment evaluation values ​​from small to large, and record the arranged operating environment evaluation values ​​in the operating environment evaluation sequence seq ter , take out seq ter The first three operating environment evaluation values ​​are recorded as val1, val2 and val3, and the management areas corresponding to val1, val2 and val3 are obtained and recorded as DT1, DT2 and DT3 respectively;

[0034] Step S403: respectively obtaining the first characteristic type and the second characteristic type of the operating parameter types in DT1 and DT2, setting the minimum acquisition frequency of each operating parameter, and arranging the decreasing order of the acquisition frequency;

[0035] When val2-val1≤val3-val2, the order of decreasing acquisition frequency is: operating parameters of the first feature type in DT1→operating parameters of the first feature type in DT2→operating parameters of the second feature type in DT1→operating parameters of the second feature type in DT2;

[0036] When val2-val1>val3-val2, the order of decreasing acquisition frequency is: operating parameters of the first feature type in DT1→operating parameters of the second feature type in DT1→operating parameters of the first feature type in DT2→operating parameters of the second feature type in DT2;

[0037] The direction of the “arrow” indicates the direction of decreasing the acquisition frequency. According to the decreasing direction, the acquisition frequency of the corresponding characteristic type operating parameter is sequentially reduced to the lowest acquisition frequency of the corresponding operating parameter;

[0038] Step S404: After the collection frequency of each characteristic type of operating parameters is reduced, the network load redundancy C provided after the DT1 and DT2 operating parameters are reduced is calculated. reduce , Among them, C i Indicates the network load redundancy provided after the collection frequency is reduced for the i-th time in the order of decreasing the collection frequency, j satisfies the condition j≤4, when C reduce ≥C raise When , stop taking the value of j and do not further reduce the collection frequency of the operating parameters;

[0039] Step S405: When j=4, the C reduce Existence C reduce <C raise When the relationship is ter The third, fourth and fifth operating environment evaluation values ​​are taken out in turn, and steps S402 to S404 are repeated so that the reduced network load is equal to the increased network load C raise equal.

[0040] Furthermore, in step S400, the method for dividing the first characteristic category and the second characteristic category of the operating parameter category includes:

[0041] Obtain the historical records of data changes over time for each operating parameter item of the power equipment, and obtain relevant management regulations for the operating parameter items, and classify the operating parameters of the power equipment that only measure the numerical state into the first characteristic category, and classify the operating parameters of the power equipment that not only measure the numerical state but also need to capture the details of the numerical value changes over time into the second characteristic category.

[0042] In order to better implement the above method, a substation power remote monitoring system based on wireless communication is also proposed. The system includes: an operating environment management module, an abnormal feature management module and a collection frequency management module. The operating environment management module is used to calculate the operating environment evaluation value of the power equipment in the management area, the abnormal feature management module is used to manage the correspondence between the power equipment and the environmental parameters when the power equipment operates abnormally, and the collection frequency management module is used to manage the collection frequency of the collector of the operating parameters of the power equipment.

[0043] Furthermore, the operating environment management module includes: an alarm threshold management unit, a monitor quantity acquisition unit, a first evaluation parameter calculation unit, a normalization adjustment unit, a second evaluation parameter calculation unit and an operating environment assessment value calculation unit, wherein the alarm threshold management unit is used to manage the first alarm threshold and the second alarm threshold, the monitor quantity acquisition unit is used to obtain the number of monitors that meet different conditions, the first evaluation parameter calculation unit is used to calculate the first evaluation parameter, the normalization adjustment unit is used to normalize the monitor data that meets the conditions, the second evaluation parameter calculation unit is used to calculate the second evaluation parameter, and the operating environment assessment value calculation unit is used to calculate the operating environment assessment value of the management area.

[0044] Furthermore, the abnormal feature management module includes: a historical record management unit, a monitor position management unit and an abnormal feature group management unit, wherein the historical record management unit is used to manage the historical operation records of the power equipment, the monitor position management unit is used to manage the location information of the monitor, and the abnormal feature group management unit is used to manage the abnormal feature group.

[0045] Furthermore, the collection frequency management module includes: a network load calculation unit, an environmental assessment sequence management unit, a collection frequency rule management unit and a frequency adjustment unit, wherein the network load calculation unit is used to calculate the network load in the management area, the environmental assessment sequence management unit is used to manage the environmental assessment sequence, the collection frequency rule management unit is used to manage the rules for the frequency of data collection by the collector, and the frequency adjustment unit is used to adjust the frequency of data collection by the collector.

[0046] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention monitors the operating environment of the power equipment and constructs a comparison template. When the judgment conditions of the comparison template are met, the data collection frequency of the power equipment in the management area is increased, and a relatively safe management area is selected to appropriately reduce the data collection frequency of the power equipment in the relatively safe management area, so that the load of the power equipment management network will not increase suddenly. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0048] Figure 1 This is a schematic diagram of the structure of a substation power remote monitoring system based on wireless communication in the present invention;

[0049] Figure 2 It is a flow chart of a method for remote monitoring of power in a substation based on wireless communication according to the patent of the present invention. DETAILED DESCRIPTION

[0050] 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.

[0051] See also Figure 1 and Figure 2 , the present invention provides a technical solution:

[0052] Step S100: performing regional division according to the distribution of power equipment in the substation, dividing the substation into several management areas, wherein one power equipment corresponds to one management area, monitoring the environmental parameters of the power equipment in each management area, and obtaining the operating environment evaluation value of the power equipment in each management area by evaluating the environmental parameters;

[0053] Wherein, step S100 includes:

[0054] Step S101: a plurality of environmental parameter monitors are set in each management area, and in each management area, location information of the environmental parameter monitors included in the management area is marked;

[0055] Environmental parameter monitors are used to monitor environmental parameters of the operating environment of power equipment, such as temperature, humidity, magnetic field strength, and vibration intensity;

[0056] The method of marking the location information of the environmental parameter monitor is, for example: setting a unique serial number for each environmental parameter monitor, and corresponding each environmental parameter monitor with the monitored data through the serial number;

[0057] For another example, the substation is modeled in three dimensions, and each environmental parameter monitor is matched to the spatial location of the environmental parameter monitor;

[0058] Step S102: convert the value actually measured by the environmental parameter monitor into monitoring data, so that when the operating environment of the power equipment is more abnormal, the value of the monitoring data is larger, and all monitoring data are required to be greater than or equal to 0, and set the first alarm threshold q1 and the second alarm threshold q2 of the environmental parameter monitor to meet the condition q2>q1;

[0059] Step S103: taking any management area in the substation as a target management area, obtaining monitoring data of each environmental parameter monitor in the target management area, and calculating a first evaluation parameter γ1 of the target management area, γ1=(n1-n2) / (N-n2), wherein n1 is the number of environmental parameter monitors in the target management area whose monitoring data is greater than the first alarm threshold, n2 is the number of environmental parameter monitors in the target management area whose monitoring data is greater than the second alarm threshold, and N is the total number of environmental parameter monitors in the target management area;

[0060] Step S104: normalize and adjust the monitoring data exceeding the second alarm threshold in the target management area, and accumulate the normalized and adjusted monitoring data to obtain a second evaluation parameter γ2 of the target management area, wherein the normalization adjustment method is: where y out is the value of the adjusted monitoring data, x in represents the input value of the monitoring data, b is a parameter, and satisfies the condition 0<b≤1;

[0061] Step S105: Calculate the operating environment evaluation value EST of the target area, where

[0062] When N = 10, n1 = 5, n2 = 2, γ2 = 3.5, EST = 0.3 + 0.7 = 1

[0063] Step S200: Obtaining abnormal operation records of power equipment in each management area of ​​the substation from historical operation records of the power equipment, matching power equipment in abnormal operation state with power equipment operation environment characteristics, and constructing an abnormal feature group through the correspondence between power equipment and power equipment operation environment characteristics;

[0064] Wherein, step S200 includes:

[0065] Step S201: in the abnormal operation record of the power equipment, the time when the power equipment is in the abnormal operation state is set as the abnormal time, and the monitoring data of each environmental parameter monitor in the management area corresponding to the power equipment in the abnormal operation state during the abnormal time is obtained;

[0066] Step S202: Record the data in the monitoring data that is greater than or equal to the first alarm threshold and less than the second alarm threshold into the data group m1, record the data in the monitoring data that is greater than or equal to the second alarm threshold into the data group m2, record the environmental parameter monitors corresponding to each data group in m1 into the detector group M1, record the environmental parameter monitors corresponding to each data group in m2 into the detector group M2, and record the location information of each environmental parameter monitor in M1 into the detector group L M1 , record the location information of each environmental parameter monitor in M2 into LM2 , L M1 Indicates the first abnormal feature in the operating environment of the power equipment, L M2 Indicates the second abnormal characteristic in the operating environment characteristics of the power equipment;

[0067] Step S203: When the kth power device in a certain management area is in an abnormal operation state, the kth power device and the first abnormal feature and the second abnormal feature are combined into an abnormal feature group abn k , abn k (dev k , L M1 k , L M2 k ), where dev k , L M1 k and L M2 k To form the abnormal feature group abn k Elements of dev k is the kth power device, L M1 k is the first abnormal feature when the kth power device is in an abnormal operating state, L M2 k is a second abnormal feature when the k-th electric power equipment is in an abnormal operating state.

[0068] Step S300: connecting a collector for collecting operating parameters of power equipment to the power equipment management network of the substation, and when abnormal operation of power equipment in a certain management area is detected, increasing the collection frequency of the collector corresponding to the power equipment with abnormal operation in the certain management area, and predicting the increased network load after increasing the data collection frequency;

[0069] Wherein, step S300 includes:

[0070] Step S301: Acquire monitoring data of each management area, and when the monitoring data satisfies both the first abnormal feature and the second abnormal feature, determine that the power equipment is operating abnormally, search for power equipment in the abnormal feature group through the abnormal feature group corresponding to the first abnormal feature and the second abnormal feature, and set the power equipment as the target power equipment;

[0071] Step S302: The moment when the abnormal operation of the power equipment in a certain management area DT is captured is recorded as t0, and the operation parameter collection history record of the target power equipment in the management area DT in the T1 time period before t0 is obtained, and the collection frequency f1 of the operation parameters of the target power equipment in the T1 time period is calculated, where f1=collect1 / T1, collect1 is the number of times the operation parameters of the target power equipment in the management area DT are collected in the T1 time period;

[0072] Step S303: Calculate the operating environment evaluation value EST of the management area DT DT , calculate the acquisition frequency f2 of the adjusted operating parameters of the collector corresponding to the target power equipment in the management area DT, where f2 = (1 + EST DT )×f1;

[0073] For example: f1 = 10 times / minute, EST DT =1, f2=2×f1=20 times / minute;

[0074] Step S304: Calculate the predicted value C of the increased network load after adjustment raise , C raise =CT1×(f2-f1), where CT1 represents the average data volume of power equipment operating parameters collected in the management area DT during the T1 time period.

[0075] For example, CT1 = 100MB / minute, C raise =100×(20-10)=1000MB;

[0076] Step S400: reducing the collection frequency of collectors in other management areas in the substation, reducing the network load on the power equipment management network caused by the amount of data sent from other management areas, so that the data flow in the power equipment management network remains unchanged;

[0077] Wherein, step S400 includes:

[0078] Step S401: obtaining the network terminal ter connected to the collector in the management area DT from the topological structure of the power equipment management network, and obtaining all management areas connected to the network terminal ter;

[0079] Step S402: Calculate the operating environment evaluation values ​​of the remaining management areas after excluding the management area DT in all the management areas connected to ter, arrange the operating environment evaluation values ​​from small to large, and record the arranged operating environment evaluation values ​​in the operating environment evaluation sequence seq ter , take out seq terThe first three operating environment evaluation values ​​are recorded as val1, val2 and val3, and the management areas corresponding to val1, val2 and val3 are obtained and recorded as DT1, DT2 and DT3 respectively;

[0080] Step S403: respectively obtaining the first characteristic type and the second characteristic type of the operating parameter types in DT1 and DT2, setting the minimum acquisition frequency of each operating parameter, and arranging the decreasing order of the acquisition frequency;

[0081] When val2-val1≤val3-val2, the order of decreasing acquisition frequency is: operating parameters of the first feature type in DT1→operating parameters of the first feature type in DT2→operating parameters of the second feature type in DT1→operating parameters of the second feature type in DT2;

[0082] When val2-val1>val3-val2, the order of decreasing acquisition frequency is: operating parameters of the first feature type in DT1→operating parameters of the second feature type in DT1→operating parameters of the first feature type in DT2→operating parameters of the second feature type in DT2;

[0083] Step S404: After the collection frequency of each characteristic type of operating parameters is reduced, the network load redundancy C provided after the DT1 and DT2 operating parameters are reduced is calculated. reduce , Among them, C i Indicates the network load redundancy provided after the collection frequency is reduced for the i-th time in the order of decreasing the collection frequency, j satisfies the condition j≤4, when C reduce ≥C raise When , stop taking the value of j and do not further reduce the collection frequency of the operating parameters;

[0084] Step S405: When j=4, the C reduce Existence C reduce <C raise When the relationship is ter The third, fourth and fifth operating environment evaluation values ​​are taken out in turn, and steps S402 to S404 are repeated so that the reduced network load is equal to the increased network load C raise equal;

[0085] Take the frequency reduction under the condition of val2-val1≤val3-val2 as an example:

[0086] The network load redundancy provided after the frequency of collecting operating parameters of the first characteristic type in DT1 is reduced is C1, the network load redundancy provided after the frequency of collecting operating parameters of the first characteristic type in DT2 is reduced is C2, the network load redundancy provided after the frequency of collecting operating parameters of the first characteristic type in DT2 is reduced is C3, and the network load redundancy provided after the frequency of collecting operating parameters of the second characteristic type in DT2 is reduced is C4;

[0087] When C1+C2+C3≥C raise When the frequency of collecting the operating parameters of the first characteristic type in DT2 is reduced, the frequency of collecting the operating parameters of the second characteristic type in DT2 is not adjusted;

[0088] When C1+C2+C3+C4<C raise When , take out seq ter The third, fourth and fifth operating environment evaluation values ​​in are recorded as val3, val2 and val4, and the management areas corresponding to val3, val4 and val5 are obtained and recorded as DT3, DT4 and DT5 respectively. Repeat the above steps so that C reduce The cumulative sum is greater than or equal to C raise .

[0089] The method for dividing the first characteristic category and the second characteristic category of the operating parameter category is as follows:

[0090] Obtain the historical records of data changes over time for each operating parameter item of the power equipment, and obtain relevant management regulations for the operating parameter items, and classify the operating parameters of the power equipment that only measure the numerical state into the first characteristic category, and classify the operating parameters of the power equipment that not only measure the numerical state but also need to capture the details of the numerical value changes over time into the second characteristic category of operating parameter types.

[0091] Different operating parameters have different management requirements. If you only need to obtain trends or general shapes, a lower sampling frequency may meet the needs. If you need to capture details or rapid changes, a higher sampling frequency is more suitable.

[0092] For example, for a current parameter I1, the manager only needs to know whether this current parameter is within a certain range. For another current parameter I2, the manager not only needs to know whether this current parameter is within a certain range, but also needs to know the change details of this current parameter. Therefore, the collection frequency of I1 can be lower than that of I2.

[0093] The system includes:

[0094] Operating environment management module, abnormal feature management module and acquisition frequency management module;

[0095] Among them, the operating environment management module is used to calculate the operating environment evaluation value of the power equipment in the management area, wherein the operating environment management module includes: an alarm threshold management unit, a monitor quantity acquisition unit, a first evaluation parameter calculation unit, a normalization adjustment unit, a second evaluation parameter calculation unit and an operating environment evaluation value calculation unit, wherein the alarm threshold management unit is used to manage the first alarm threshold and the second alarm threshold, the monitor quantity acquisition unit is used to obtain the number of monitors that meet different conditions, the first evaluation parameter calculation unit is used to calculate the first evaluation parameter, the normalization adjustment unit is used to normalize the monitor data that meets the conditions, the second evaluation parameter calculation unit is used to calculate the second evaluation parameter, and the operating environment evaluation value calculation unit is used to calculate the operating environment evaluation value of the management area.

[0096] Among them, the abnormal feature management module is used to manage the correspondence between the abnormal operation of the power equipment and the environmental parameters. The abnormal feature management module includes: a historical record management unit, a monitor position management unit and an abnormal feature group management unit. The historical record management unit is used to manage the historical operation records of the power equipment, the monitor position management unit is used to manage the location information of the monitor, and the abnormal feature group management unit is used to manage the abnormal feature group.

[0097] Among them, the collection frequency management module is used to manage the collection frequency of the collector of the operating parameters of the power equipment, wherein the collection frequency management module includes: a network load calculation unit, an environmental assessment sequence management unit, a collection frequency rule management unit and a frequency adjustment unit, wherein the network load calculation unit is used to calculate the network load in the management area, the environmental assessment sequence management unit is used to manage the environmental assessment sequence, the collection frequency rule management unit is used to manage the rules of the collector's data collection frequency, and the frequency adjustment unit is used to adjust the frequency of the collector's data collection.

[0098] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0099] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for remote monitoring of power in a substation based on wireless communication, characterized in that: The method comprises the following steps: Step S100: performing regional division according to the distribution of power equipment in the substation, dividing the substation into several management areas, wherein one power equipment corresponds to one management area, monitoring the environmental parameters of the power equipment in each management area, and obtaining the operating environment evaluation value of the power equipment in each management area by evaluating the environmental parameters; Step S200: Obtain abnormal operation records of power equipment in each management area of ​​the substation from historical operation records of the power equipment, correspond the power equipment in abnormal operation state with the power equipment operation environment characteristics, and construct an abnormal feature group through the correspondence between the power equipment and the power equipment operation environment characteristics; Step S300: connecting a collector for collecting operating parameters of power equipment to the power equipment management network of the substation, and when abnormal operation of power equipment in a certain management area is detected, increasing the collection frequency of the collector corresponding to the power equipment with abnormal operation in the certain management area, and predicting the increased network load after increasing the data collection frequency; Step S400: reducing the collection frequency of collectors in other management areas of the substation, reducing the network load on the power equipment management network caused by the amount of data sent from other management areas, so that the data flow in the power equipment management network remains unchanged.

2. A method for remote monitoring of power in a substation based on wireless communication according to claim 1, characterized in that: Step S100 includes: Step S101: a plurality of environmental parameter monitors are set in each management area, and in each management area, location information of the environmental parameter monitors included in the management area is marked; Step S102: convert the value actually measured by the environmental parameter monitor into monitoring data, so that when the operating environment of the power equipment is more abnormal, the value of the monitoring data is larger, and all monitoring data are required to be greater than or equal to 0, and set the first alarm threshold q1 and the second alarm threshold q2 of the environmental parameter monitor to meet the condition q2>q1; Step S103: taking any one management area in the substation as a target management area, obtaining monitoring data of each environmental parameter monitor in the target management area, and calculating a first evaluation parameter γ1 of the target management area, γ1=(n1-n2) / (N-n2), wherein n1 is the number of environmental parameter monitors in the target management area whose monitoring data is greater than the first alarm threshold, n2 is the number of environmental parameter monitors in the target management area whose monitoring data is greater than the second alarm threshold, and N is the total number of environmental parameter monitors in the target management area; Step S104: normalize and adjust the monitoring data exceeding the second alarm threshold in the target management area, and accumulate the normalized and adjusted monitoring data to obtain a second evaluation parameter γ2 of the target management area, wherein the normalization adjustment method is: where y out is the value of the adjusted monitoring data, x in represents the input value of the monitoring data, b is a parameter, and satisfies the condition 0<b≤1; Step S105: Calculate the operating environment evaluation value EST of the target area, where 3. A method for remote monitoring of power in a substation based on wireless communication according to claim 2, characterized in that: Step S200 includes: Step S201: in the abnormal operation record of the power equipment, the time when the power equipment is in the abnormal operation state is set as the abnormal time, and the monitoring data of each environmental parameter monitor in the management area corresponding to the power equipment in the abnormal operation state during the abnormal time is obtained; Step S202: Record the data in the monitoring data that is greater than or equal to the first alarm threshold and less than the second alarm threshold into the data group m1, record the data in the monitoring data that is greater than or equal to the second alarm threshold into the data group m2, record the environmental parameter monitors corresponding to each data group in m1 into the detector group M1, record the environmental parameter monitors corresponding to each data group in m2 into the detector group M2, and record the location information of each environmental parameter monitor in M1 into the detector group L M1 , record the location information of each environmental parameter monitor in M2 into L M2 , L M1 Indicates the first abnormal feature in the operating environment of the power equipment, L M2 Indicates the second abnormal characteristic in the operating environment characteristics of the power equipment; Step S203: When the kth power device in a certain management area is in an abnormal operation state, the kth power device and the first abnormal feature and the second abnormal feature are combined into an abnormal feature group abn k , abn k (dev k , L M1 k , L M2 k ), where dev k , L M1 k and L M2 k To form the abnormal feature group abn k Elements of dev k is the kth power device, L M1 k is the first abnormal feature when the kth power device is in an abnormal operating state, L M2 k is a second abnormal feature when the k-th electric power equipment is in an abnormal operating state.

4. A method for remote monitoring of power in a substation based on wireless communication according to claim 3, characterized in that: Step S300 includes: Step S301: Acquire monitoring data of each management area, and when the monitoring data satisfies both the first abnormal feature and the second abnormal feature, determine that the power equipment is operating abnormally, search for power equipment in the abnormal feature group through the abnormal feature group corresponding to the first abnormal feature and the second abnormal feature, and set the power equipment as the target power equipment; Step S302: The moment when the abnormal operation of the power equipment in a certain management area DT is captured is recorded as t0, and the operation parameter collection history record of the target power equipment in the management area DT in the T1 time period before t0 is obtained, and the collection frequency f1 of the operation parameters of the target power equipment in the T1 time period is calculated, where f1=collect1 / T1, collect1 is the number of times the operation parameters of the target power equipment in the management area DT are collected in the T1 time period; Step S303: Calculate the operating environment evaluation value EST of the management area DT DT , calculate the acquisition frequency f2 of the adjusted operating parameters of the collector corresponding to the target power equipment in the management area DT, where f2 = (1 + EST DT )×f1; Step S304: Calculate the predicted value C of the increased network load after adjustment raise , C raise =CT1×(f2-f1), where CT1 represents the average data volume of power equipment operating parameters collected in the management area DT during the T1 time period.

5. A method for remote monitoring of power in a substation based on wireless communication according to claim 4, characterized in that: Step S400 includes: Step S401: obtaining the network terminal ter connected to the collector in the management area DT from the topological structure of the power equipment management network, and obtaining all management areas connected to the network terminal ter; Step S402: Calculate the operating environment evaluation values ​​of the remaining management areas after excluding the management area DT in all the management areas connected to ter, arrange the operating environment evaluation values ​​from small to large, and record the arranged operating environment evaluation values ​​in the operating environment evaluation sequence seq ter , take out seq ter The first three operating environment evaluation values ​​are recorded as val1, val2 and val3, and the management areas corresponding to val1, val2 and val3 are obtained and recorded as DT1, DT2 and DT3 respectively; Step S403: respectively obtaining the first characteristic type and the second characteristic type of the operating parameter types in DT1 and DT2, setting the minimum acquisition frequency of each operating parameter, and arranging the decreasing order of the acquisition frequency; When val2-val1≤val3-val2, the order of decreasing acquisition frequency is: operating parameters of the first feature type in DT1→operating parameters of the first feature type in DT2→operating parameters of the second feature type in DT1→operating parameters of the second feature type in DT2; When val2-val1>val3-val2, the order of decreasing acquisition frequency is: operating parameters of the first feature type in DT1→operating parameters of the second feature type in DT1→operating parameters of the first feature type in DT2→operating parameters of the second feature type in DT2; Step S404: After the collection frequency of each characteristic type of operating parameters is reduced, the network load redundancy C provided after the DT1 and DT2 operating parameters are reduced is calculated. reduce , Among them, C i Indicates the network load redundancy provided after the collection frequency is reduced for the i-th time in the order of decreasing the collection frequency, j satisfies the condition j≤4, when C reduce ≥C raise When , stop taking the value of j and do not further reduce the collection frequency of the operating parameters; Step S405: When j=4, the C reduce Existence C reduce <C raise When the relationship is ter The third, fourth and fifth operating environment evaluation values ​​are taken out in turn, and steps S402 to S404 are repeated so that the reduced network load is equal to the increased network load C raise equal.

6. A method for remote monitoring of power in a substation based on wireless communication according to claim 5, characterized in that: The classification method of the first characteristic category and the second characteristic category of the operating parameter category is as follows: Obtain the historical records of data changes over time for each operating parameter item of the power equipment, and obtain relevant management regulations for the operating parameter items, and classify the operating parameters of the power equipment that only measure the numerical state into the first characteristic category, and classify the operating parameters of the power equipment that not only measure the numerical state but also need to capture the details of the numerical value changes over time into the second characteristic category.

7. A substation power remote monitoring system for executing a substation power remote monitoring method based on wireless communication as described in any one of claims 1 to 6, characterized in that: The system includes the following modules: An operating environment management module, an abnormal feature management module and a collection frequency management module, wherein the operating environment management module is used to calculate the operating environment evaluation value of the power equipment in the management area, the abnormal feature management module is used to manage the correspondence between the power equipment and the environmental parameters when the power equipment operates abnormally, and the collection frequency management module is used to manage the collection frequency of the collector of the operating parameters of the power equipment.

8. The substation power remote monitoring system according to claim 7, characterized in that: The operating environment management module includes: an alarm threshold management unit, a monitor quantity acquisition unit, a first evaluation parameter calculation unit, a normalization adjustment unit, a second evaluation parameter calculation unit and an operating environment evaluation value calculation unit, wherein the alarm threshold management unit is used to manage the first alarm threshold and the second alarm threshold, the monitor quantity acquisition unit is used to obtain the number of monitors that meet different conditions, the first evaluation parameter calculation unit is used to calculate the first evaluation parameter, the normalization adjustment unit is used to normalize the monitor data that meets the conditions, the second evaluation parameter calculation unit is used to calculate the second evaluation parameter, and the operating environment evaluation value calculation unit is used to calculate the operating environment evaluation value of the management area.

9. The substation power remote monitoring system according to claim 8, characterized in that: The abnormal feature management module includes: a historical record management unit, a monitor location management unit and an abnormal feature group management unit, wherein the historical record management unit is used to manage the historical operation records of the power equipment, the monitor location management unit is used to manage the location information of the monitor, and the abnormal feature group management unit is used to manage the abnormal feature group.

10. The substation power remote monitoring system according to claim 9, characterized in that: The collection frequency management module includes: a network load calculation unit, an environmental assessment sequence management unit, a collection frequency rule management unit and a frequency adjustment unit, wherein the network load calculation unit is used to calculate the network load in the management area, the environmental assessment sequence management unit is used to manage the environmental assessment sequence, the collection frequency rule management unit is used to manage the rules for the frequency of data collection by the collector, and the frequency adjustment unit is used to adjust the frequency of data collection by the collector.

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