CN116052392B - Method and system for preventing small animals in transformer substation - Google Patents

Method and system for preventing small animals in transformer substation Download PDF

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CN116052392B
CN116052392B CN202310346054.2A CN202310346054A CN116052392B CN 116052392 B CN116052392 B CN 116052392B CN 202310346054 A CN202310346054 A CN 202310346054A CN 116052392 B CN116052392 B CN 116052392B
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CN116052392A (en
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雷剧璋
张莉珠
何嘉良
邓胜初
江伟
杨伟超
郁景礼
郭修杰
冯镇生
姜美玲
张俊
杨锐灿
陈考斌
陈雨明
黄炳祺
黄湘
叶玮铮
陆晨光
祝亮亮
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Foshan Power Supply Bureau of Guangdong Power Grid Corp
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Abstract

The invention provides a method and a system for preventing animals in a transformer substation, and belongs to the technical field of transformer substation protection. Dividing a transformer substation into a plurality of monitoring areas with different grades according to the regional hierarchy of the transformer substation for monitoring; acquiring monitoring data of different levels of monitoring areas, and calculating to obtain different types of alarm values, wherein the alarm values are used for carrying out alarm judgment on the condition that a monitoring target appears in the next level of monitoring area or affects equipment; calibrating a monitoring target in a monitoring area with an alarm, and expelling the monitoring target according to the position information, wherein the monitoring areas with different grades correspond to different expelling means; and (3) recalculating the alarm value of the monitoring area after the expelling measures are taken, and reporting the alarm abnormality if the alarm value after the expelling exceeds the set times still exceeds the alarm threshold value. According to the invention, the transformer substation is spatially divided, and different sensing and expelling means are adopted for different areas, so that the protection of small animals in the transformer substation is more timely and accurate.

Description

Method and system for preventing small animals in transformer substation
Technical Field
The invention belongs to the technical field of transformer substation protection, and particularly relates to a method and a system for preventing animals in a transformer substation.
Background
At present, more and more substations are under unmanned management, equipment is stopped due to the influence of small animals in recent years, and the prevention of the small animals is an important guarantee for equipment safety. In order to improve operation and maintenance level and ensure equipment safety, it is increasingly important to prevent small animals from working in a transformer substation.
The work of preventing animals in a transformer substation is mainly to set fixed traps such as cat cages, mouse sticking plates, insect-proof drugs, bird repellents and the like in an entrance door chamber of the transformer substation, and even if the work has a plurality of targeted measures, the work is to be kept by the young plants and rabbits can not be actively hit. Because the toy likes the heating object, and power equipment can produce heat in the operation process, and some equipment frameworks are very suitable for toy nest, consequently often can see nest, marcel etc. in the transformer substation, consequently only restrain toy nest in the transformer substation, can reduce the invasion of toy to equipment.
Disclosure of Invention
In view of the above, the invention aims to solve the problem that measures for protecting small animals of the existing transformer substation cannot adapt to the protection needs of the existing transformer substation.
In order to solve the technical problems, the invention provides the following technical scheme:
in a first aspect, the invention provides a method for preventing animals in a transformer substation, comprising the following steps:
dividing the transformer substation into a plurality of monitoring areas with different grades according to the regional hierarchy of the transformer substation for monitoring;
acquiring monitoring data of monitoring areas of different levels, and calculating to obtain different types of alarm values, wherein the alarm values are used for carrying out alarm judgment on the condition that a monitoring target appears in the next-level monitoring area or affects equipment, the monitoring data at least comprises the sample size of the monitoring target and the sample number of the monitoring target, and the alarm values form positive correlation with the sample size and the sample number;
calibrating a monitoring target in a monitoring area with an alarm, and expelling the monitoring target according to the position information obtained by calibration, wherein the monitoring areas with different grades correspond to different expelling means;
and (3) recalculating the alarm value of the monitoring area after the expelling measures are taken, and reporting the alarm abnormality if the alarm value after the expelling exceeds the set times still exceeds the alarm threshold value.
Further, the alarm value is specifically calculated according to the following formula:
Figure SMS_1
；
in the method, in the process of the invention,
Figure SMS_3
for the alarm value, < >>
Figure SMS_7
Is the sample size of the monitoring target identified in the sampling period,/-for the monitoring target>
Figure SMS_9
Is the total sample size of the sampling period,/-)>
Figure SMS_4
To identify threshold value +.>
Figure SMS_8
And->
Figure SMS_11
All are probability values, when->
Figure SMS_12
The value +.>
Figure SMS_2
Otherwise, take the value +.>
Figure SMS_6
，/>
Figure SMS_10
For the number of individuals of the monitored object identified in the cycle, < > for>
Figure SMS_13
For the emergency correction value, ++>
Figure SMS_5
Is of the alarm type.
Further, for different types of alarm value calculation, the corresponding recognition threshold and probability value satisfy the following conditions:
Figure SMS_14
；
in the method, in the process of the invention,
Figure SMS_15
and the alarm type with the protection level of 1 grade is represented, and the protection level corresponds to the level of the monitoring area one by one.
Further, the monitoring area comprises a transformer substation edge, a transformer substation area and a transformer substation equipment area, the corresponding alarm value types are I type, II type and III type, when the alarm value is I type and II type, the probability value is specifically the probability value that the monitoring target enters the next-stage monitoring area, and when the alarm value is III type, the probability value is specifically the probability value that the monitoring target affects equipment.
Further, the emergency correction value
Figure SMS_16
Specifically calculated by the following formula:
Figure SMS_17
；
wherein,,
Figure SMS_18
；
Figure SMS_19
are specific influencing factors of the transformer substation, and T represents matrix transposition.
In a second aspect, the present invention provides a substation anti-small animal system comprising:
the monitoring unit is used for monitoring in monitoring areas with different grades, wherein the monitoring areas with different grades are obtained by dividing a transformer substation into a plurality of areas according to the area hierarchy of the transformer substation;
the sensing unit is used for acquiring monitoring data of the monitoring areas of different levels, calculating to obtain alarm values of different types, wherein the alarm values are used for carrying out alarm judgment on the condition that a monitoring target appears in the next-level monitoring area or affects equipment, the monitoring data at least comprises the sample size of the monitoring target and the sample number of the monitoring target, and the alarm values form a positive correlation with the sample size and the sample number;
the expelling unit is used for calibrating the monitoring target in the monitoring area with the alarm, expelling the monitoring target according to the position information obtained by calibration, and the monitoring areas with different grades correspond to different expelling means;
and the abnormal reporting unit is used for recalculating the alarm value of the monitoring area after the expelling measures are taken, and reporting the alarm abnormality if the alarm value after the expelling exceeds the set times still exceeds the alarm threshold value.
Further, in the sensing unit, the alarm value is specifically calculated according to the following formula:
Figure SMS_20
；
in the method, in the process of the invention,
Figure SMS_24
for the alarm value, < >>
Figure SMS_25
Is the sample size of the monitoring target identified in the sampling period,/-for the monitoring target>
Figure SMS_27
Is the total sample size of the sampling period,/-)>
Figure SMS_23
To identify threshold value +.>
Figure SMS_26
And->
Figure SMS_28
All are probability values, when->
Figure SMS_30
The value +.>
Figure SMS_22
Otherwise, take the value +.>
Figure SMS_29
，/>
Figure SMS_31
For the number of individuals of the monitored object identified in the cycle, < > for>
Figure SMS_32
Is emergency degreeCorrection value->
Figure SMS_21
Is of the alarm type.
Further, in the sensing unit, for different types of alarm value calculations, the corresponding recognition threshold and probability value satisfy the following conditions:
Figure SMS_33
；
in the method, in the process of the invention,
Figure SMS_34
and the alarm type with the protection level of 1 grade is represented, and the protection level corresponds to the level of the monitoring area one by one.
Further, the monitoring area comprises a transformer substation edge, a transformer substation area and a transformer substation equipment area, the corresponding alarm value types are I type, II type and III type, when the alarm value is I type and II type, the probability value is specifically the probability value that the monitoring target enters the next-stage monitoring area, and when the alarm value is III type, the probability value is specifically the probability value that the monitoring target affects equipment.
Further, in the sensing unit, the urgency correction value
Figure SMS_35
Specifically calculated by the following formula:
Figure SMS_36
；
wherein,,
Figure SMS_37
；
Figure SMS_38
are specific influencing factors of the transformer substation, and T represents matrix transposition.
In summary, the invention provides a method and a system for preventing animals in a transformer substation, which comprises the steps of dividing the transformer substation into a plurality of monitoring areas with different grades according to the regional hierarchy of the transformer substation for monitoring; acquiring monitoring data of different levels of monitoring areas, and calculating to obtain different types of alarm values, wherein the alarm values are used for carrying out alarm judgment on the condition that a monitoring target appears in the next level of monitoring area or affects equipment; calibrating a monitoring target in a monitoring area with an alarm, and expelling the monitoring target according to the position information obtained by calibration, wherein the monitoring areas with different grades correspond to different expelling means; and (3) recalculating the alarm value of the monitoring area after the expelling measures are taken, and reporting the alarm abnormality if the alarm value after the expelling exceeds the set times still exceeds the alarm threshold value. According to the invention, the transformer substation is spatially divided, and different sensing and expelling means are adopted for different areas, so that the protection of small animals in the transformer substation is more timely and accurate.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a method for preventing animals in a transformer substation according to an embodiment of the present invention;
fig. 2 is a working flow chart of the substation anti-small animals provided by the embodiment of the invention.
Detailed Description
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is apparent that the embodiments described below are only some embodiments of the present invention, not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present embodiment provides a method for preventing animals in a transformer substation, including:
s100: dividing the transformer substation into a plurality of monitoring areas with different grades according to the regional hierarchy of the transformer substation for monitoring;
s200: acquiring monitoring data of monitoring areas of different levels, and calculating to obtain different types of alarm values, wherein the alarm values are used for carrying out alarm judgment on the condition that a monitoring target appears in the next-level monitoring area or affects equipment, the monitoring data at least comprises the sample size of the monitoring target and the sample number of the monitoring target, and the alarm values form positive correlation with the sample size and the sample number;
s300: calibrating a monitoring target in a monitoring area with an alarm, and expelling the monitoring target according to the position information obtained by calibration, wherein the monitoring areas with different grades correspond to different expelling means;
s400: and (3) recalculating the alarm value of the monitoring area after the expelling measures are taken, and reporting the alarm abnormality if the alarm value after the expelling exceeds the set times still exceeds the alarm threshold value.
The embodiment provides a method for preventing animals in a transformer substation, which is characterized in that the transformer substation is spatially divided, different sensing and expelling means are adopted for different areas, so that the protection of animals in the transformer substation is more timely and accurate.
In another embodiment of the present invention, an identification algorithm for a monitoring target (such as a small animal) is provided according to monitoring data obtained by monitoring terminals in different monitoring areas in a transformer substation. Specifically, in the identification algorithm, the following formula is specifically adopted for calculating the alarm value:
Figure SMS_39
；
in the method, in the process of the invention,
Figure SMS_41
for the alarm value, < >>
Figure SMS_47
Is the sample size of the monitoring target identified in the sampling period,/-for the monitoring target>
Figure SMS_50
Is the total sample size of the sampling period,/-)>
Figure SMS_43
To identify threshold value +.>
Figure SMS_45
And->
Figure SMS_46
All are probability values, when->
Figure SMS_51
The value +.>
Figure SMS_42
Otherwise, take the value +.>
Figure SMS_44
，/>
Figure SMS_48
For the number of individuals of the monitored object identified in the cycle, < > for>
Figure SMS_49
For the emergency correction value, ++>
Figure SMS_40
Is of the alarm type.
Further, for different types of alarm value calculation, the corresponding recognition threshold and probability value satisfy the following conditions:
Figure SMS_52
；
in the method, in the process of the invention,
Figure SMS_53
and the alarm type with the protection level of 1 grade is represented, and the protection level corresponds to the level of the monitoring area one by one.
Based on the alarm value calculation formula proposed by the identification algorithm, in a further embodiment of the invention, the monitoring area of the transformer substation is divided into a transformer substation edge, a transformer substation field area and a transformer substation equipment area, and the corresponding alarm value types are I, II and III, namely
Figure SMS_54
. The whole space region of the transformer substation is divided, and different monitoring equipment monitors different regions, including monitoring terminals such as an in-station inspection robot, an unmanned aerial vehicle, a cable pit inspection robot, an in-station monitoring video and the like. Each terminal monitoring classification is as follows: the inspection robot monitors small animals on equipment in the transformer station, the unmanned aerial vehicle monitors small animals on a framework in the transformer station, the cable trench monitors small animals in the cable trench, and the monitoring video in the station monitors gates, enclosing walls and places.
When the alarm value is in class I and class II, the probability value is specifically the probability value that the monitoring target enters the next monitoring area, and when the alarm value is in class III, the probability value is specifically the probability value that the monitoring target affects the equipment.
In yet another embodiment of the present invention, the urgency correction value
Figure SMS_55
The calculation can be made by the following formula:
Figure SMS_56
；
wherein,,
Figure SMS_57
；
Figure SMS_58
all are specific influencing factors of the transformer substations, depend on the geographical position, system influence and the like of each transformer substation, have no special problems and can take the value +.>
Figure SMS_59
T represents the matrix transpose.
The above embodiments are described in further detail below taking the case that the substation is divided into a gate, an enclosure area, an in-site area and an in-equipment area, and the recognition threshold and the probability value follow the above rules.
1. When the monitoring equipment is an in-station monitoring video, the image sources come from gates and enclosing walls, and the small animals are ready to enter the transformer substation, the identification type is judged to be an I-type alarm, and the alarm value is as follows:
Figure SMS_60
wherein->
Figure SMS_61
Is the sample size of the identified small animal in the class I alarm sampling period, < >>
Figure SMS_62
Is the total sample size of the I type alarm sampling period, when +.>
Figure SMS_63
If the probability that the small animal possibly enters the transformer substation is 50%, otherwise, the probability that the small animal enters the transformer substation is 25%, the probability is determined to be->
Figure SMS_64
For the number of individuals of the small animal identified in the class I alert sampling period, < >>
Figure SMS_65
And alarming urgency correction value for class I.
2. When the source of the monitoring equipment is a site monitoring video, the situation that the small animal is in the site of the transformer substation but does not enter the equipment area is indicated, the identification type is judged to be II-type alarm, and the alarm value is as follows:
Figure SMS_66
wherein->
Figure SMS_67
Is the sample size of the identified small animal in the II type alarm sampling period, < >>
Figure SMS_68
Is the total sample size of the II type alarm sampling period, when +.>
Figure SMS_69
If the probability that the small animal possibly enters the equipment area is judged to be 60%, otherwise, the probability that the small animal enters the equipment area is judged to be 40%, the probability that the small animal possibly enters the equipment area is judged to be 40%,>
Figure SMS_70
for the number of individuals of the small animal identified in the class II alert sampling period, < >>
Figure SMS_71
And (5) alarming an emergency correction value for the class II.
3. When the source of the monitoring equipment is equipment areas such as inspection robots, unmanned aerial vehicles, cable trench robots and the like, the fact that small animals invade the equipment is indicated, and the identification type is judged to be III-type alarming, wherein the alarming value is as follows:
Figure SMS_72
wherein->
Figure SMS_73
Is the sample size of the identified small animal in the III class alarm sampling period, < >>
Figure SMS_74
Is the total sample size of III class alarm sampling period, when +.>
Figure SMS_75
Judging that the damage probability of the small animal to the equipment is 90%, otherwise, judging that the damage probability of the small animal to the equipment is 60%, and (E) judging that the damage probability of the small animal to the equipment is 60%>
Figure SMS_76
For the number of individuals of the small animal identified in the class III alert sampling period, < >>
Figure SMS_77
And (5) alarming an emergency correction value for class III.
Based on the monitoring and identifying conditions of different areas, the small animals found in the current monitoring area are calibrated, the position information of the calibrated small animals is sent upwards, different expelling means are adopted according to different alarm types, and if the small animals cannot be expelled, expelling can be performed if the small animals cannot be expelled. For example, the method can directly spray liquid medicine according to the positioning condition to kill insects, can adopt various expelling devices to expel birds and the like, and then identify newly acquired data after completing expelling one by one, and the index for expelling is that if the alarm value is reduced to a certain threshold value, if 10 (the maximum value of the alarm value corresponds to 100), the alarm is released, otherwise, the method is continued according to the latest data.
If the same animal scale in the animal monitoring data is still present after a plurality of (e.g., 3) evictions, it is indicated that the animal eviction failed or was identified as misleading, and in the case of confirming the living being, a professional needs to be reported for processing. The whole treatment condition is also sent to professionals integrally, and professionals are reminded to update, maintain and expel equipment, supplement medicaments and the like. And reporting the alarm condition to an operator to grasp the latest condition of the equipment. FIG. 2 is a complete workflow diagram of further resorting to eviction and exception reporting means after the small animals are identified according to an identification algorithm.
The foregoing is a detailed description of an embodiment of a method for protecting a substation from small animals according to the present invention, and the following detailed description of an embodiment of a system for protecting a substation from small animals according to the present invention will be given.
The embodiment provides a substation anti-small animal system, comprising: the device comprises a monitoring unit, a sensing unit, an expelling unit and an exception reporting unit.
In this embodiment, the monitoring unit is configured to monitor in different levels of monitoring areas, where the different levels of monitoring areas are obtained by dividing a substation into a plurality of areas according to an area hierarchy of the substation;
in this embodiment, the sensing unit is configured to obtain monitoring data of different levels of monitoring areas, and calculate different types of alarm values, where the alarm values are used to perform alarm judgment on a situation that a monitoring target appears in a next level of monitoring area or affects equipment, the monitoring data at least includes a sample size of the monitoring target and a sample number of the monitoring target, and the alarm values and the sample size and the sample number form a positive correlation;
in this embodiment, the expelling unit is configured to scale a monitored target in a monitored area where an alarm occurs, and expel the monitored target according to location information obtained by scaling, where different levels of monitored areas correspond to different expelling means;
in this embodiment, the exception reporting unit is configured to recalculate the alarm value for the monitored area after the expelling measure is taken, and if the alarm value after the expelling for more than the set number of times still exceeds the alarm threshold, report the alarm exception.
Further, the alarm value is specifically calculated according to the following formula:
Figure SMS_78
；
in the method, in the process of the invention,
Figure SMS_79
is the sample size of the monitoring target identified in the sampling period,/-for the monitoring target>
Figure SMS_82
Is the total sample size of the sampling period,/-)>
Figure SMS_84
To identify threshold value +.>
Figure SMS_80
And->
Figure SMS_83
All are probability values, when->
Figure SMS_85
The value +.>
Figure SMS_87
Otherwise, take the value +.>
Figure SMS_81
，/>
Figure SMS_86
For the number of individuals of the monitored object identified in the cycle, < > for>
Figure SMS_88
For the emergency correction value, ++>
Figure SMS_89
Is of the alarm type.
Further, for different types of alarm value calculation, the corresponding recognition threshold and probability value satisfy the following conditions:
Figure SMS_90
；
in the method, in the process of the invention,
Figure SMS_91
and the alarm type with the protection level of 1 grade is represented, and the protection level corresponds to the level of the monitoring area one by one.
Further, the monitoring area comprises a transformer substation edge, a transformer substation area and a transformer substation equipment area, the corresponding alarm value types are I type, II type and III type, when the alarm value is I type and II type, the probability value is specifically the probability value that the monitoring target enters the next-stage monitoring area, and when the alarm value is III type, the probability value is specifically the probability value that the monitoring target affects equipment.
Further, the emergency correction value
Figure SMS_92
Specifically calculated by the following formula:
Figure SMS_93
；
wherein,,
Figure SMS_94
；
Figure SMS_95
are all specific influencing factors of the transformer substation.
It should be noted that, the anti-small animal system provided in this embodiment is used to implement the anti-small animal method provided in the foregoing embodiment, and specific arrangement of each unit is based on complete implementation of the method, which is not described herein.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (8)

1. The method for preventing the small animals in the transformer substation is characterized by comprising the following steps of:
dividing the transformer substation into a plurality of monitoring areas with different grades according to the regional hierarchy of the transformer substation for monitoring;
the method comprises the steps of obtaining monitoring data of monitoring areas of different levels, and calculating to obtain alarm values of different types, wherein the alarm values are used for carrying out alarm judgment on the condition that a monitoring target appears in the next-level monitoring area or affects equipment, the monitoring data at least comprise sample size of the monitoring target and the number of individuals of the monitoring target, the alarm values form positive correlation with the sample size and the number of individuals, and the alarm values are calculated according to the following specific formula:
Figure QLYQS_1
in the method, in the process of the invention,
Figure QLYQS_3
for the alarm value, < >>
Figure QLYQS_5
Is the sample size of the monitoring target identified in the sampling period,/-for the monitoring target>
Figure QLYQS_6
Is the total sample size of the sampling period,/-)>
Figure QLYQS_10
To identify threshold value +.>
Figure QLYQS_11
And->
Figure QLYQS_12
All are probability values, when->
Figure QLYQS_13
The value +.>
Figure QLYQS_2
Otherwise, take the value +.>
Figure QLYQS_4
，/>
Figure QLYQS_7
For the number of individuals of the monitored object identified in the cycle, < > for>
Figure QLYQS_8
For the emergency correction value, ++>
Figure QLYQS_9
Is of the alarm type;
calibrating a monitoring target in a monitoring area with an alarm, and expelling the monitoring target according to position information obtained by calibration, wherein the monitoring areas with different grades correspond to different expelling means;
and (3) recalculating the alarm value of the monitoring area after the expelling measures are taken, and reporting the alarm abnormality if the alarm value after the expelling exceeds the set times still exceeds the alarm threshold value.
2. The method for protecting a substation from small animals according to claim 1, characterized in that for different types of alarm value calculations, the corresponding recognition threshold and probability values satisfy the following conditions:
Figure QLYQS_14
in the method, in the process of the invention,
Figure QLYQS_15
and the alarm type with the protection level of 1 grade is represented, and the protection level corresponds to the level of the monitoring area one by one.
3. The method for preventing small animals in a transformer substation according to claim 1, wherein the monitoring area comprises a transformer substation edge, a transformer substation area and a transformer substation equipment area, the corresponding alarm value types are class i, class ii and class iii, when the alarm value is class i and class ii, the probability value is specifically a probability value that the monitoring target enters a next-stage monitoring area, and when the alarm value is class iii, the probability value is specifically a probability value that the monitoring target affects equipment.
4. A method for combating animals in a substation according to claim 3, wherein said urgency correction value
Figure QLYQS_16
Specifically calculated by the following formula:
Figure QLYQS_17
wherein,,
Figure QLYQS_18
Figure QLYQS_19
are specific influencing factors of the transformer substation, and T represents matrix transposition.
5. A small animal prevention system for a substation, comprising:
the monitoring unit is used for monitoring in different levels of monitoring areas, wherein the different levels of monitoring areas are obtained by dividing a transformer substation into a plurality of areas according to the area hierarchy of the transformer substation;
the sensing unit is used for acquiring monitoring data of different levels of monitoring areas and calculating to obtain different types of alarm values, wherein the alarm values are used for carrying out alarm judgment on the condition that a monitoring target appears in the next level of monitoring area or affects equipment, the monitoring data at least comprise the sample size of the monitoring target and the number of individuals of the monitoring target, the alarm values and the sample size are in positive correlation, and the alarm values are calculated according to the following specific formula:
Figure QLYQS_20
in the method, in the process of the invention,
Figure QLYQS_22
for the alarm value, < >>
Figure QLYQS_24
Is the sample size of the monitoring target identified in the sampling period,/-for the monitoring target>
Figure QLYQS_27
Is the total sample size of the sampling period,/-)>
Figure QLYQS_29
To identify threshold value +.>
Figure QLYQS_30
And->
Figure QLYQS_31
All are probability values, when->
Figure QLYQS_32
The value +.>
Figure QLYQS_21
Otherwise, take the value +.>
Figure QLYQS_23
，/>
Figure QLYQS_25
For the number of individuals of the monitored object identified in the cycle, < > for>
Figure QLYQS_26
For the emergency correction value, ++>
Figure QLYQS_28
Is of the alarm type;
the expelling unit is used for calibrating the monitoring target in the monitoring area with the alarm, expelling the monitoring target according to the position information obtained by calibration, and the monitoring areas with different grades correspond to different expelling means;
and the abnormal reporting unit is used for recalculating the alarm value of the monitoring area after the expelling measures are taken, and reporting the alarm abnormality if the alarm value after the expelling exceeds the set times still exceeds the alarm threshold value.
6. The substation anti-small animal system according to claim 5, wherein for different types of alarm value calculations, the corresponding recognition threshold and probability values satisfy the following conditions:
Figure QLYQS_33
in the method, in the process of the invention,
Figure QLYQS_34
and the alarm type with the protection level of 1 grade is represented, and the protection level corresponds to the level of the monitoring area one by one.
7. The substation anti-small animal system according to claim 5, wherein the monitoring area comprises a substation edge, a substation site area and a substation equipment area, the corresponding alarm value types are class i, class ii and class iii, when the alarm value is class i and class ii, the probability value is specifically a probability value that the monitoring target enters a next-stage monitoring area, and when the alarm value is class iii, the probability value is specifically a probability value that the monitoring target affects equipment.
8. The substation anti-small animal system of claim 7, wherein the urgency correction value
Figure QLYQS_35
Specifically calculated by the following formula:
Figure QLYQS_36
wherein,,
Figure QLYQS_37
Figure QLYQS_38
are specific influencing factors of the transformer substation, and T represents matrix transposition.
CN202310346054.2A 2023-04-03 2023-04-03 Method and system for preventing small animals in transformer substation Active CN116052392B (en)

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