CN115656806A - Isolator monitoring method related to surface area of object - Google Patents

Isolator monitoring method related to surface area of object Download PDF

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CN115656806A
CN115656806A CN202211407016.5A CN202211407016A CN115656806A CN 115656806 A CN115656806 A CN 115656806A CN 202211407016 A CN202211407016 A CN 202211407016A CN 115656806 A CN115656806 A CN 115656806A
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monitoring
surface area
target object
distance
isolating switch
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何智杰
傅炜婷
卞志文
林燕桢
洪文斌
龚文剑
洪君毅
孙莹
郑哲艺
朱仕焜
罗荣毅
蔡惠芬
游舒琼
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Pinghe County Power Supply Co Of State Grid Fujian Electric Power Co ltd
Electric Power Research Institute of State Grid Fujian Electric Power Co Ltd
State Grid Fujian Electric Power Co Ltd
Zhangzhou Power Supply Co of State Grid Fujian Electric Power Co Ltd
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Pinghe County Power Supply Co Of State Grid Fujian Electric Power Co ltd
Electric Power Research Institute of State Grid Fujian Electric Power Co Ltd
State Grid Fujian Electric Power Co Ltd
Zhangzhou Power Supply Co of State Grid Fujian Electric Power Co Ltd
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Abstract

The invention relates to a method for monitoring a disconnecting switch related to the surface area of an object, which comprises the following steps: acquiring point cloud data of a target object by using a laser radar; analyzing the state of a target object according to the point cloud data to obtain a monitoring result; acquiring the distance between the laser radar and a target object; acquiring the surface area of a target object; calculating a distance influence coefficient according to the distance between the laser radar and the target object; and calculating the precision of the monitoring result according to the distance influence coefficient and the surface area. The accuracy of the monitoring result is judged by calculating the precision of the monitoring result through the construction function, the overall stability of the monitoring system is effectively improved, and the method has wide applicability. Meanwhile, the invention shoots the point cloud image of the isolating switch through the laser radar, extracts key area attribute information of the conducting arm of the isolating switch by using an algorithm for analysis and processing, and judges the closing state of the isolating switch according to the angle of the conducting arm, so that the monitoring result has high precision, and the invention helps electric power personnel to monitor the running state of the isolating switch in real time and determine whether the isolating switch is reliably closed, thereby reducing accidents caused by incomplete closing of the isolating switch.

Description

一种关联于物体表面积的隔离开关监测方法A Disconnector Monitoring Method Related to Object Surface Area

技术领域technical field

本发明涉及一种关联于物体表面积的隔离开关监测方法,属于隔离开关监测领域。The invention relates to a method for monitoring a disconnector related to the surface area of an object, and belongs to the field of disconnector monitoring.

背景技术Background technique

高压隔离开关由操动机构带动动触头实现与静触头的接触与分离,其在室外运行时极易受环境影响,传动卡涩、部件尺寸变化、传动部件错位等均能造成隔离开关合闸不到位,出现间隙,导致发热甚至放电,影响设备寿命,威胁电网安全运行。因此,需要对隔离开关的合闸状态进行监测。The high-voltage isolating switch is driven by the operating mechanism to realize the contact and separation of the moving contact with the static contact. It is easily affected by the environment when it is running outdoors. If the gate is not in place, there will be a gap, which will cause heat generation and even discharge, which will affect the life of the equipment and threaten the safe operation of the power grid. Therefore, it is necessary to monitor the closing state of the isolating switch.

现有技术中利用激光雷达获取隔离开关的点云数据,并对点云数据进行分析处理得到隔离开关的合闸状态,具体可参考论文《基于地面激光雷达的隔离开关合闸状态自动监测方法》.刘衍,邹阳,谭舒宁,龙国华。In the prior art, laser radar is used to obtain the point cloud data of the isolating switch, and the point cloud data is analyzed and processed to obtain the closing state of the isolating switch. For details, please refer to the paper "Automatic monitoring method for the closing state of the isolating switch based on ground laser radar" .Liu Yan, Zou Yang, Tan Shuning, Long Guohua.

虽然基于激光雷达的监测系统能实现对隔离开关可视化监测与合闸状态的判别,但激光雷达测量精度受环境条件影响,监测系统的准确性有限。因此,需要进一步判断监测系统的监测结果是否准确。Although the lidar-based monitoring system can realize the visual monitoring of the disconnector and the discrimination of the closing state, the measurement accuracy of the lidar is affected by the environmental conditions, and the accuracy of the monitoring system is limited. Therefore, it is necessary to further judge whether the monitoring results of the monitoring system are accurate.

公开号为CN111199219A的专利《一种隔离开关状态分布式监测方法、系统及介质》公开了以下步骤:获取目标隔离开关的隔离开关图像;通过图像分析获取隔离开关两臂之间的夹角α;将夹角α分别和合、分闸状态夹角标定值进行比较确定目标隔离开关状态。该发明能够准确监测出目标隔离开关分合闸的状态,但其所得结果的准确度未知。The patent "A Distributed Monitoring Method, System and Medium for Isolating Switch Status" with publication number CN111199219A discloses the following steps: obtain the isolating switch image of the target isolating switch; obtain the angle α between the two arms of the isolating switch through image analysis; Compare the included angle α with the calibrated value of the included angle in closing and opening states respectively to determine the state of the target isolating switch. The invention can accurately monitor the opening and closing state of the target isolating switch, but the accuracy of the obtained result is unknown.

发明内容Contents of the invention

为了克服现有技术中存在的问题,本发明设计了一种关联于物体表面积的隔离开关监测方法,获取激光雷达与隔离开关之间的距离、隔离开关的表面积并构建函数计算监测结果精度,从而判断监测结果的准确度,有效提高了监测系统的整体稳定性,具有广泛适用性。In order to overcome the problems existing in the prior art, the present invention designs a disconnector monitoring method related to the surface area of the object, obtains the distance between the laser radar and the disconnector, the surface area of the disconnector and constructs a function to calculate the accuracy of the monitoring results, thereby Judging the accuracy of the monitoring results effectively improves the overall stability of the monitoring system and has wide applicability.

为了实现上述目的,本发明采用如下技术方案:In order to achieve the above object, the present invention adopts the following technical solutions:

技术方案一Technical solution one

一种关联于物体表面积的隔离开关监测方法,包括以下步骤:A method of monitoring a disconnector related to the surface area of an object, comprising the steps of:

利用激光雷达获取目标物体的点云数据;Use laser radar to obtain point cloud data of target objects;

根据所述点云数据分析目标物体状态,得到监测结果;Analyzing the state of the target object according to the point cloud data to obtain a monitoring result;

获取激光雷达与目标物体之间的距离;Obtain the distance between the lidar and the target object;

获取目标物体的表面积;Obtain the surface area of the target object;

根据激光雷达与目标物体之间的距离,计算距离影响系数;Calculate the distance influence coefficient according to the distance between the lidar and the target object;

根据所述距离影响系数和表面积,计算监测结果精度。According to the distance influence coefficient and the surface area, the precision of the monitoring result is calculated.

进一步的,所述目标物体为隔离开关。Further, the target object is an isolation switch.

进一步的,所述根据点云数据分析目标物体状态,得到监测结果,具体如下:Further, the state of the target object is analyzed according to the point cloud data, and the monitoring result is obtained, as follows:

在多个坐标轴方向切割所述点云数据,得到隔离开关导电臂点云;Cutting the point cloud data in the direction of multiple coordinate axes to obtain the point cloud of the conductive arm of the isolating switch;

增强隔离开关导电臂点云的边缘;Reinforce the edge of the disconnector arm point cloud;

对隔离开关单侧导电臂点云进行平面拟合,得到第一拟合平面、第二拟合平面;Plane fitting is carried out on the point cloud of the conductive arm on one side of the disconnector to obtain the first fitting plane and the second fitting plane;

计算第一拟合平面与第二拟合平面之间的夹角为监测结果。The angle between the first fitting plane and the second fitting plane is calculated as the monitoring result.

进一步的,所述计算监测结果精度,具体包括:Further, the calculation of the accuracy of monitoring results specifically includes:

根据激光雷达与背景环境之间的距离、激光雷达与目标物体之间的距离,计算距离影响系数;Calculate the distance influence coefficient according to the distance between the lidar and the background environment, and the distance between the lidar and the target object;

根据距离影响系数和目标物体的表面积,计算监测结果精度;Calculate the accuracy of monitoring results according to the distance influence coefficient and the surface area of the target object;

若监测结果精度大于阈值,则认为监测结果准确。If the accuracy of the monitoring result is greater than the threshold, the monitoring result is considered accurate.

进一步的,所述计算监测结果精度,以公式表达为:Further, the accuracy of the calculation monitoring result is expressed as:

Figure BDA0003937255240000021
Figure BDA0003937255240000021

式中,γ表示监测结果精度;ηr表示激光雷达接收光学系统的传输效率;Kl表示距离影响系数;Sn表示目标物体的表面积;SL表示激光雷达视界范围面积;T表示大气环境透过率;

Figure BDA0003937255240000031
表示调整因子。In the formula, γ represents the accuracy of monitoring results; η r represents the transmission efficiency of the laser radar receiving optical system; K l represents the distance influence coefficient; S n represents the surface area of the target object; S L represents the area of the laser radar field of view; Overrate;
Figure BDA0003937255240000031
Indicates the adjustment factor.

进一步的,所述计算距离影响系数,以公式表达为:Further, the calculation distance influence coefficient is expressed as:

Figure BDA0003937255240000032
Figure BDA0003937255240000032

式中,Kl表示距离影响系数;lb表示激光雷达发生器与背景环境之间的距离;ln表示激光发生器与目标物体之间的距离;c1表示常数。In the formula, K l represents the distance influence coefficient; l b represents the distance between the laser radar generator and the background environment; l n represents the distance between the laser generator and the target object; c 1 represents a constant.

进一步的,所述监测结果包括隔离开关导电臂夹角监测值;Further, the monitoring result includes the monitoring value of the included angle of the conductive arm of the isolation switch;

根据隔离开关导电臂夹角监测值和隔离开关导电臂夹角实际值,计算误差因子;根据误差因子,更新监测结果精度。Calculate the error factor according to the monitored value of the included angle of the conductive arm of the disconnector and the actual value of the included angle of the conductive arm of the disconnector; update the precision of the monitoring result according to the error factor.

进一步的,所述根据误差因子,更新监测结果精度,以公式表达为:Further, according to the error factor, the accuracy of the monitoring result is updated, expressed as:

δ=0.5(1-100σ)+0.5γδ=0.5(1-100σ)+0.5γ

式中,γ表示监测结果精度;δ表示更新后的监测结果精度;σ表示误差因子。In the formula, γ represents the accuracy of the monitoring results; δ represents the accuracy of the updated monitoring results; σ represents the error factor.

技术方案二Technical solution two

一种关联于物体表面积的隔离开关监测系统,包括:A disconnect switch monitoring system correlated to the surface area of an object, comprising:

激光雷达,所述激光雷达用于获取目标物体的点云数据;Laser radar, described laser radar is used for obtaining the point cloud data of target object;

上位机,所述上位机用于根据所述点云数据分析目标物体状态,得到监测结果;获取激光雷达与目标物体之间的距离;获取目标物体的表面积;根据激光雷达与目标物体之间的距离,计算距离影响系数;根据所述距离影响系数和表面积,计算监测结果精度。The upper computer, the upper computer is used to analyze the state of the target object according to the point cloud data, and obtain the monitoring result; obtain the distance between the laser radar and the target object; obtain the surface area of the target object; Calculate the distance influence coefficient; calculate the monitoring result accuracy according to the distance influence coefficient and the surface area.

与现有技术相比本发明有以下特点和有益效果:Compared with the prior art, the present invention has the following characteristics and beneficial effects:

考虑到测量距离和物体表面积会影响激光雷达采集的点云数据的精度,从而影响到监测结果的准确度。本发明获取激光雷达与隔离开关之间的距离、隔离开关的表面积并构建函数计算监测结果精度,从而判断监测结果的准确度,有效提高了监测系统的整体稳定性,具有广泛适用性。Considering that the measurement distance and the surface area of the object will affect the accuracy of the point cloud data collected by the lidar, thus affecting the accuracy of the monitoring results. The invention acquires the distance between the laser radar and the isolating switch, the surface area of the isolating switch and constructs a function to calculate the accuracy of the monitoring result, thereby judging the accuracy of the monitoring result, effectively improving the overall stability of the monitoring system, and having wide applicability.

本发明通过激光雷达拍摄隔离开关点云图像并利用算法提取隔离开关导电臂关键区域属性信息进行分析处理,根据导电臂角度判别出隔离开关合闸状态,监测结果精度高,帮助电力人员实时监测隔离开关运行状态并确定隔离开关是否可靠合闸,减少隔离开关因合闸不到位而引起事故。The invention captures the point cloud image of the isolation switch by laser radar and uses an algorithm to extract the key area attribute information of the isolation switch conductive arm for analysis and processing, and judges the closing state of the isolation switch according to the angle of the conductive arm. The monitoring result has high precision and helps electricians monitor isolation in real time Check the operating status of the switch and determine whether the isolating switch is reliably closed, so as to reduce accidents caused by the incomplete closing of the isolating switch.

附图说明Description of drawings

图1是本发明流程图;Fig. 1 is a flowchart of the present invention;

图2是本发明所述监测系统示意图。Fig. 2 is a schematic diagram of the monitoring system of the present invention.

具体实施方式Detailed ways

下面结合实施例对本发明进行更详细的描述。The present invention will be described in more detail below in conjunction with examples.

实施例一Embodiment one

如图1所示,一种关联于物体表面积的隔离开关导电臂特征监测系统,包括:激光雷达、上位机。As shown in Figure 1, a monitoring system for the characteristics of the conductive arm of the isolating switch associated with the surface area of the object includes: a laser radar and a host computer.

所述激光雷达发射面垂直向上放置,设置有以太网接口,通过网线与上位机连接。激光雷达拍摄隔离开关的三维图像并以点云数据形式保存;之后通过网线将点云数据传输至上位机。The laser radar emitting surface is placed vertically upwards, is provided with an Ethernet interface, and is connected to the host computer through a network cable. The laser radar captures the three-dimensional image of the disconnector and saves it in the form of point cloud data; then the point cloud data is transmitted to the host computer through the network cable.

所述上位机计算激光雷达与目标物体之间的距离;获取目标物体的表面积;根据激光雷达与目标物体之间的距离,计算距离影响系数;根据所述距离影响系数和表面积,计算监测结果精度。The upper computer calculates the distance between the laser radar and the target object; obtains the surface area of the target object; calculates the distance influence coefficient according to the distance between the laser radar and the target object; calculates the monitoring result accuracy according to the distance influence coefficient and the surface area .

实施例二Embodiment two

一种关联于物体表面积的隔离开关监测方法,包括如下步骤:A method for monitoring a disconnector associated with a surface area of an object, comprising the steps of:

根据目标物体与激光雷达的距离,计算距离对监测结果的距离影响系数Kl,以公式表达为:According to the distance between the target object and the laser radar, calculate the distance influence coefficient K l of the distance on the monitoring result, expressed as:

Figure BDA0003937255240000041
Figure BDA0003937255240000041

式中,lb为激光发生器与背景环境之间的距离,单位为m;ln为激光发生器与目标物体的距离,单位为m。In the formula, l b is the distance between the laser generator and the background environment, the unit is m; l n is the distance between the laser generator and the target object, the unit is m.

激光雷达采集有效点云数量与被监测隔离开关导电臂表面积相关,有效点云数量越多,监测结果精度越高。因此,根据目标物体的表面积和距离影响系数Kl,计算监测结果精度,以公式表达为:The number of effective point clouds collected by lidar is related to the surface area of the conductive arm of the monitored isolating switch. The more effective point clouds, the higher the accuracy of monitoring results. Therefore, according to the surface area of the target object and the distance influence coefficient Kl , the accuracy of the monitoring result is calculated, expressed as:

Figure BDA0003937255240000051
Figure BDA0003937255240000051

式中,ηr为接收光学系统的传输效率;Sn为目标物体的表面积,单位为m2;SL为激光雷达视界范围面积,单位为m2;T为大气环境透过率;

Figure BDA0003937255240000052
为调整因子,取1.385。In the formula, η r is the transmission efficiency of the receiving optical system; S n is the surface area of the target object, the unit is m2 ; S L is the area of sight of the laser radar, the unit is m2 ; T is the atmospheric environment transmittance;
Figure BDA0003937255240000052
As the adjustment factor, take 1.385.

γ越大则监测性能越好,反之则性能越差。本实施例中,若γ大于0.7,则认为监测结果精度较高;若γ小于0.7,则认为需要对目标物体或安装距离进行调整。The larger the γ is, the better the monitoring performance is, otherwise the worse the performance. In this embodiment, if γ is greater than 0.7, it is considered that the accuracy of the monitoring result is high; if γ is less than 0.7, it is considered that the target object or the installation distance needs to be adjusted.

实施例三Embodiment three

进一步的,根据误差因子,更新监测结果精度,以公式表达为:Further, according to the error factor, the precision of the monitoring result is updated, expressed as:

δ=0.5(1-100σ)+0.5γδ=0.5(1-100σ)+0.5γ

式中,γ表示监测结果精度;δ表示更新后的监测结果精度;σ表示误差因子。In the formula, γ represents the accuracy of the monitoring results; δ represents the accuracy of the updated monitoring results; σ represents the error factor.

其中,误差因子σ计算公式如下:Among them, the calculation formula of error factor σ is as follows:

Figure BDA0003937255240000053
Figure BDA0003937255240000053

式中,θ1表示隔离开关导电臂夹角监测值;θ2表示隔离开关导电臂夹角实际值。In the formula, θ 1 represents the monitoring value of the included angle of the conductive arm of the disconnector; θ 2 represents the actual value of the included angle of the conductive arm of the disconnector.

利用更新后的监测结果精度δ,定量表征监测结果准确度等级,利用终端管理平台的逻辑模块实现输出显示,当δ≥0.8时,隔离开关导电臂特征监测效果等级显示为优秀;当0.8>δ≥0.6时,隔离开关导电臂特征监测效果等级显示为良好;当δ<0.6时,隔离开关导电臂特征监测效果等级显示为较差。Using the updated accuracy δ of the monitoring results, quantitatively characterize the accuracy level of the monitoring results, and use the logic module of the terminal management platform to realize the output display. When δ≥0.8, the monitoring effect level of the isolation switch conductive arm characteristics is displayed as excellent; when 0.8>δ When ≥0.6, the monitoring effect level of the conducting arm of the disconnector is good; when δ<0.6, the monitoring effect level of the conducting arm of the disconnecting switch is poor.

实施例四Embodiment four

根据所述点云数据分析目标物体状态,得到监测结果,包括如下步骤:Analyzing the state of the target object according to the point cloud data to obtain a monitoring result includes the following steps:

步骤3-1:利用软件CloudCompare对同一时间段采集的隔离开关点云数据选取十张单帧PCD数据进行合成,以增加点云数据量,提高图像成像效果,更利于隔离开关导电臂特征的提取,提升数据可靠性;Step 3-1: Use the software CloudCompare to select ten single-frame PCD data for the point cloud data of the isolating switch collected in the same time period to synthesize, so as to increase the amount of point cloud data and improve the image imaging effect, which is more conducive to the extraction of the characteristics of the isolating switch conductive arm and improve data reliability;

步骤3-2:利用图像目标区域裁剪算法进行点云切割:在x,y,z轴方向分别引入收缩因子Sx、Sy、Sz;改变收缩因子数值,使点云数据中隔离开关导电臂具有最佳收紧边界效果;在多个坐标轴方向切割所述点云数据:创建x轴裁剪对象区域值[-4,4],裁剪保留区域;创建y轴裁剪对象区域值[-4,8],裁剪保留区域;创建z轴裁剪对象区域值[0,4.5],裁剪保留区域,得到隔离开关导电臂点云,以更好地保留隔离开关各个单侧导电臂侧面点云;Step 3-2: Use the image target area clipping algorithm to cut the point cloud: introduce shrinkage factors S x , S y , and S z in the x, y , and z-axis directions respectively; change the value of the shrinkage factor to make the isolation switch in the point cloud data conductive The arm has the best boundary tightening effect; cut the point cloud data in multiple coordinate axis directions: create the x-axis clipping object area value [-4, 4], and crop the reserved area; create the y-axis clipping object area value [-4 , 8], cut out the reserved area; create a z-axis clipping object area value [0, 4.5], cut out the reserved area, and obtain the point cloud of the disconnector conductive arm, so as to better retain the side point cloud of each single-side conductive arm of the disconnector;

步骤3-3:利用边缘增强算子,增强隔离开关导电臂点云中的局部边缘:由点云得到的二阶导数的零交叉点来定位边缘点;在边缘点集合中剔除某些边界点或填补边界间断点,得到沿隔离开关导电臂表面分布的三维边缘点云数据;Step 3-3: Use the edge enhancement operator to enhance the local edge in the point cloud of the conductive arm of the disconnector: locate the edge point by the zero crossing point of the second derivative obtained from the point cloud; remove some boundary points from the edge point set Or fill in the boundary discontinuities to obtain the three-dimensional edge point cloud data distributed along the surface of the disconnector conductive arm;

步骤3-4:利用欧式聚类算法对隔离开关导电臂点云进行降噪处理,减少环境背景噪点;其中,设置欧式聚类算法的聚类阈值系数k的取值范围在区间[0.03,0.12]内;Step 3-4: Use the European clustering algorithm to perform noise reduction processing on the point cloud of the disconnector arm to reduce the environmental background noise; wherein, the value range of the clustering threshold coefficient k of the European clustering algorithm is set in the interval [0.03, 0.12 ]Inside;

步骤3-5:利用LMeds算法对点云数据进行一次平面拟合:从点云样本中随机抽出N个样本子集;使用最小二乘法对每一个样本子集计算模型参数和模型误差;记录模型参数及模型误差的中间值,最后选取N个样本子集中模型误差中间值最小者对应的模型参数为平面参数,多次迭代确定最佳阈值并剔除异常点后;利用特征值法对点云数据进行二次平面拟合,得到隔离开关单侧导电臂侧面的拟合平面方程S1、S2;Step 3-5: Use the LMeds algorithm to perform a plane fitting on the point cloud data: randomly extract N sample subsets from the point cloud samples; use the least square method to calculate model parameters and model errors for each sample subset; record the model The median value of the parameter and model error, and finally select the model parameter corresponding to the smallest median value of the model error among the N sample subsets as the plane parameter, after multiple iterations to determine the optimal threshold and remove abnormal points; Carry out quadratic plane fitting to obtain the fitting plane equations S1 and S2 on the side of the conductive arm on one side of the disconnector;

步骤3-6:利用数据处理方法取得两平面的法向量,计算出两法向量之间的夹角θ1即为隔离开关导电臂夹角监测值。Step 3-6: Use the data processing method to obtain the normal vectors of the two planes, and calculate the angle θ1 between the two normal vectors, which is the monitoring value of the angle of the conductive arm of the disconnector.

需要说明的是,上述提出的一种关联于物体表面积的隔离开关导电臂特征监测系统和计算机可读存储介质,还用于实现如上述图1所示的一种关联于物体表面积的隔离开关导电臂特征监测系统方法中各实施例对应的方法步骤,本申请在此不重复叙述。It should be noted that the characteristic monitoring system and computer-readable storage medium for the conductive arm of the isolating switch associated with the surface area of the object proposed above are also used to realize the conductive arm of the isolating switch associated with the surface area of the object as shown in Figure 1 above. The method steps corresponding to each embodiment in the arm feature monitoring system method are not repeated in this application.

需要说明的是,在本发明各个实施例中的各功能单元/模块可以集成在一个处理单元/模块中,也可以是各个单元/模块单独物理存在,也可以是两个或两个以上单元/模块集成在一个单元/模块中。上述集成的单元/模块既可以采用硬件的形式实现,也可以采用软件功能单元/模块的形式实现。It should be noted that each functional unit/module in each embodiment of the present invention can be integrated into one processing unit/module, or each unit/module can exist separately physically, or two or more units/modules can be integrated. Modules are integrated in one unit/module. The above-mentioned integrated units/modules can be implemented in the form of hardware or in the form of software functional units/modules.

通过以上的实施方式的描述,所属领域的技术人员可以清楚地了解应当理解,可以以硬件、软件、固件、中间件、代码或其任何恰当组合来实现这里描述的实施例。对于硬件实现,处理器可以在一个或多个下列单元中实现:专用集成电路(ASIC)、数字信号处理器(DSP)、数字信号处理设备(DSPD)、可编程逻辑器件(PLD)、现场可编程门阵列(FPGA)、处理器、控制器、微控制器、微处理器、设计用于实现这里所描述功能的其他电子单元或其组合。对于软件实现,实施例的部分或全部流程可以通过计算机程序来指令相关的硬件来完成。实现时,可以将上述程序存储在计算机可读介质中或作为计算机可读介质上的一个或多个指令或代码进行传输。计算机可读介质包括计算机存储介质和通信介质,其中通信介质包括便于从一个地方向另一个地方传送计算机程序的任何介质。存储介质可以是计算机能够存取的任何可用介质。计算机可读介质可以包括但不限于RAM、ROM、EEPROM、CD-ROM或其他光盘存储、磁盘存储介质或者其他磁存储设备、或者能够用于携带或存储具有指令或数据结构形式的期望的程序代码并能够由计算机存取的任何其他介质。Through the above description of the implementation manners, those skilled in the art can clearly understand that the embodiments described herein can be implemented by hardware, software, firmware, middleware, codes or any appropriate combination thereof. For hardware implementation, the processor can be implemented in one or more of the following units: Application Specific Integrated Circuit (ASIC), Digital Signal Processor (DSP), Digital Signal Processing Device (DSPD), Programmable Logic Device (PLD), Field Programmable Programmable gate arrays (FPGAs), processors, controllers, microcontrollers, microprocessors, other electronic units designed to perform the functions described herein, or combinations thereof. For software implementation, part or all of the processes of the embodiments can be completed by instructing related hardware through computer programs. When implemented, the above program can be stored in a computer-readable medium or transmitted as one or more instructions or codes on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. Computer readable media may include, but are not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage media or other magnetic storage devices, or can be used to carry or store desired program code in the form of instructions or data structures and any other medium that can be accessed by a computer.

最后应当说明的是,以上实施例仅用以说明本发明的技术方案,而非对本发明保护范围的限制,尽管参照较佳实施例对本发明作了详细地说明,本领域的普通技术人员应当分析,可以对本发明的技术方案进行修改或者等同替换,而不脱离本发明技术方案的实质和范围。Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than limiting the protection scope of the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should analyze , the technical solution of the present invention may be modified or equivalently replaced without departing from the spirit and scope of the technical solution of the present invention.

Claims (10)

1. A method of isolating switch monitoring in relation to a surface area of an object, comprising the steps of:
acquiring point cloud data of a target object by using a laser radar;
analyzing the state of a target object according to the point cloud data to obtain a monitoring result;
acquiring the distance between the laser radar and a target object;
acquiring the surface area of a target object;
calculating a distance influence coefficient according to the distance between the laser radar and the target object;
and calculating the precision of the monitoring result according to the distance influence coefficient and the surface area.
2. The method for monitoring the isolating switch related to the surface area of the object as recited in claim 1, wherein the target object is the isolating switch.
3. The method for monitoring the disconnecting switch related to the surface area of the object according to claim 2, wherein the monitoring result is obtained by analyzing the state of the target object according to the point cloud data, and specifically comprises the following steps:
cutting the point cloud data in a plurality of coordinate axis directions by using an image target area cutting algorithm to obtain a point cloud of the conductive arm of the isolating switch;
enhancing the edge of the point cloud of the conductive arm of the isolating switch by using an edge enhancement operator;
carrying out noise reduction processing on the point cloud of the conductive arm of the isolating switch by using an Euclidean clustering algorithm;
carrying out plane fitting on the point cloud of the single-side conductive arm of the isolating switch to obtain a first fitting plane and a second fitting plane;
and calculating an included angle between the first fitting plane and the second fitting plane as a monitoring result.
4. The method for monitoring the disconnecting switch related to the surface area of the object according to claim 1, wherein the distance influence coefficient is calculated as follows:
and calculating the distance influence coefficient according to the distance between the laser radar and the background environment and the distance between the laser radar and the target object.
5. The method for monitoring the disconnecting switch related to the surface area of the object according to claim 1, wherein the accuracy of the calculated monitoring result is expressed by the formula:
Figure FDA0003937255230000021
in the formula, gamma represents the precision of the monitoring result; eta r The transmission efficiency of the laser radar receiving optical system is represented; k l Representing a distance influence coefficient; s n Representing the surface area of the target object; s. the L The area of the view range of the laser radar is represented; t represents the atmospheric environment transmittance;
Figure FDA0003937255230000022
indicating the adjustment factor.
6. The method for monitoring the isolating switch related to the surface area of the object as claimed in claim 1, wherein the calculated distance influence coefficient is expressed by a formula:
Figure FDA0003937255230000023
in the formula, K l Representing a distance influence coefficient; l. the b Representing the distance between the lidar generator and the background environment; l n Representing a distance between the laser generator and the target object; c. C 1 Representing a constant.
7. The method for monitoring the isolating switch related to the surface area of the object according to claim 4, wherein the monitoring result comprises an isolating switch conductive arm included angle monitoring value;
calculating an error factor according to the angle monitoring value of the conductive arm of the isolating switch and the actual value of the angle of the conductive arm of the isolating switch; and updating the precision of the monitoring result according to the error factor.
8. The method for monitoring the disconnecting switch related to the surface area of the object according to claim 7, wherein the monitoring result precision is updated according to an error factor, and the formula is as follows:
δ=0.5(1-100σ)+0.5γ
in the formula, gamma represents the precision of the monitoring result; delta represents the updated monitoring result accuracy; σ denotes an error factor.
9. A disconnector monitoring system associated with a surface area of an object, comprising:
the system comprises a laser radar, a data acquisition module and a data processing module, wherein the laser radar is used for acquiring point cloud data of a target object;
the upper computer is used for analyzing the state of the target object according to the point cloud data to obtain a monitoring result; acquiring the distance between the laser radar and a target object; acquiring the surface area of a target object; calculating a distance influence coefficient according to the distance between the laser radar and the target object; and calculating the precision of the monitoring result according to the distance influence coefficient and the surface area.
10. A computer-readable storage medium, characterized in that the storage medium stores a computer program for executing a method of monitoring a disconnector dependent on the surface area of an object as claimed in any one of the preceding claims 1 to 8.
CN202211407016.5A 2022-11-10 2022-11-10 Isolator monitoring method related to surface area of object Pending CN115656806A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117826116A (en) * 2024-03-04 2024-04-05 广东电网有限责任公司中山供电局 Method and device for determining opening and closing states of double-column horizontal rotary isolating switch

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117826116A (en) * 2024-03-04 2024-04-05 广东电网有限责任公司中山供电局 Method and device for determining opening and closing states of double-column horizontal rotary isolating switch
CN117826116B (en) * 2024-03-04 2024-05-14 广东电网有限责任公司中山供电局 Method and device for determining opening and closing states of double-column horizontal rotary isolating switch

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