An evaluation method and device for internal sensor layout of a switch cabinet, electronic equipment and storage medium

Abstract

The application provides an evaluation method and device for a sensor layout inside a switch cabinet, electronic equipment and a storage medium. The application constructs a virtual coordinate system based on the shell, and determines initial coordinates of each sensor. The position influence score of any target sensor is calculated based on the initial coordinates of each sensor. In the working process of the switch cabinet, the working effect score of the target sensor is determined based on the working data of the target sensor. The initial coordinates are evaluated based on the position influence score and the working effect score. The application quantifies the position influence through the virtual coordinate system, combines data accuracy and environmental bias to give a comprehensive score, overcomes the defects of the prior art which only relies on threshold or networking efficiency, and provides an objective and accurate evaluation method for the sensor layout inside the switch cabinet.

Description

Technical Field

[0001] This application relates to the field of switchgear technology, and more specifically, to a method, apparatus, electronic device, and storage medium for evaluating the layout of sensors inside a switchgear. Background Technology

[0002] Switchgear, as the core device in a power system for opening, closing, controlling, and protecting electrical equipment, typically houses various types of sensors, including those for temperature, humidity, ultrasonic partial discharge, micro-vibration, electric field, and magnetic field, for condition monitoring. The rationality of sensor layout directly affects the accuracy of monitoring data and the reliability of fault warnings. A reasonable layout can improve the safe operation and maintenance level of the switchgear, while an improper layout may lead to monitoring blind spots, data distortion, or even misjudgments. Therefore, a scientific evaluation of sensor layout is of great significance.

[0003] In the prior art, Chinese invention patent CN113405597B discloses a sensor layout structure and evaluation method in a switch cabinet, which evaluates the layout through structural evaluation functions and efficiency evaluation functions. However, this scheme cannot quantify the contribution of a single sensor position to measurement accuracy; its efficiency evaluation relies on network quality and threshold judgment, and does not take into account the degree of proximity of sensor measurements to the actual physical field inside the cabinet and measurement deviations caused by environmental conditions; moreover, there is a lack of position-based linkage between structural evaluation and efficiency evaluation, making it difficult to comprehensively judge the data accuracy of the sensor at its current position. Summary of the Invention

[0004] In view of this, the purpose of this application is to provide a method, apparatus, electronic device and storage medium for evaluating the layout of sensors inside a switch cabinet, so as to overcome the problems in the prior art.

[0005] In a first aspect, embodiments of this application provide an evaluation method for the internal sensor layout of a switch cabinet, applied to a switch cabinet to be evaluated, wherein various types of sensors are disposed within the outer casing of the switch cabinet to be evaluated; the method includes: A virtual coordinate system is constructed using the outer shell as a reference, and the initial coordinates of each sensor in the virtual coordinate system are determined. Based on the initial coordinates of each of the sensors, calculate the positional influence score of any target sensor; During the operation of the switchgear, a performance score for the target sensor is determined based on the working data of the target sensor. The performance score characterizes the consistency between the target sensor's measurement data and that of other sensors at the current position, as well as the degree of deviation of the measurement data caused by the current environmental conditions. The initial coordinates of the target sensor are evaluated based on the location influence score and the work performance score.

[0006] In some technical solutions of this application, the above-mentioned calculation of the position influence score of any target sensor based on the initial coordinates of each of the sensors includes: When the target sensor is a temperature sensor, the spatial variation coefficient is calculated based on the initial coordinates of the temperature sensor to obtain a positional influence score; wherein, the spatial variation coefficient characterizes the uniformity of the distribution of all temperature sensors within the switch cabinet; When the target sensor is a humidity sensor, the second Euclidean distance to the nearest vent or condensation risk zone boundary is calculated based on the initial coordinates of the humidity sensor to obtain a location impact score. When the target sensor is an ultrasonic partial discharge sensor, the three-dimensional convex hull volume formed by the coordinates of at least four ultrasonic sensors, including the target sensor, is calculated based on the initial coordinates of the ultrasonic partial discharge sensor to obtain the position influence score. When the target sensor is a micro-vibration sensor, the cosine value of the angle between the micro-vibration sensor and the surface normal vector of the internal power equipment is calculated based on the initial coordinates of the micro-vibration sensor and its sensitive axis direction to obtain the position influence score; When the target sensor is an electric field sensor, the third Euclidean distance to the nearest high-voltage conductor is calculated based on the initial coordinates of the electric field sensor to obtain the position influence score; When the target sensor is a magnetic field sensor, the sine value of the angle between the theoretical magnetic field line tangent direction and the measurement axis is calculated based on the initial coordinates of the magnetic field sensor and the direction of the measurement axis, combined with the position and current direction of the adjacent current-carrying conductor, to obtain the position influence score.

[0007] In some technical solutions of this application, the above-mentioned determination of the working effect score of the target sensor based on the working data of the target sensor during the operation of the switch cabinet includes: Based on the correlation between the working data of the target sensor and other sensors, a mutual influence score is calculated; The environmental impact score is calculated based on the deviation between the operating data of the target sensor and the environmental operating parameters. The overall work performance score is obtained by combining the mutual influence score and the environmental impact score.

[0008] In some technical solutions of this application, the above-mentioned calculation of the mutual influence score based on the correlation between the working data of the target sensor and other sensors includes: The working data of the target sensor collected within a preset time period constitutes a first data sequence, and the working data of the other sensors collected within the same preset time period constitutes a second data sequence. Calculate the covariance between the first data sequence and the second data sequence, and calculate the standard deviation of the first data sequence and the second data sequence respectively. Divide the covariance by the product of the two standard deviations to obtain the correlation measure. The mutual influence score is obtained based on the degree of deviation between the correlation metric and the preset expected correlation value.

[0009] In some technical solutions of this application, the above-mentioned calculation of the environmental impact score based on the deviation between the working data of the target sensor and the environmental operating parameters includes: The measurement deviation introduced by the environment is determined based on the difference between the working data of the target sensor and the working data of the preset reference sensor. The environmental impact score is calculated based on the measurement deviation introduced by the environment and the preset allowable deviation.

[0010] In some technical solutions of this application, the evaluation of the initial coordinates of the target sensor based on the position influence score and the work performance score includes: When the target sensor is a temperature sensor or a humidity sensor, the position influence score is multiplied by the work performance score, and the product is used as a comprehensive score. The comprehensive score is used to evaluate the quality of the initial coordinates. When the target sensor is an electric field sensor or a magnetic field sensor, the smaller value between the position influence score and the work effect score is taken as the comprehensive score, and the quality of the initial coordinates is evaluated by the comprehensive score. When the target sensor is an ultrasonic partial discharge sensor or a micro-vibration sensor, if both the position influence score and the working effect score reach their respective preset thresholds, the initial coordinates are determined to be a qualified layout; otherwise, they are considered an unqualified layout.

[0011] In some technical solutions of this application, when the initial coordinates of the target sensor are determined to be an unqualified layout, a coordinate adjustment suggestion is generated based on the lower of the position influence score and the work effect score.

[0012] Secondly, embodiments of this application provide an evaluation device for the internal sensor layout of a switch cabinet, which operates on a switch cabinet to be evaluated, wherein various types of sensors are disposed within the outer casing of the switch cabinet to be evaluated; the device includes: A coordinate system construction module is used to construct a virtual coordinate system based on the outer shell and determine the initial coordinates of each sensor in the virtual coordinate system. The position influence scoring module is used to calculate the position influence score of any target sensor based on the initial coordinates of each of the sensors. The performance evaluation module is used to determine the performance evaluation score of the target sensor based on the working data of the target sensor during the operation of the switch cabinet; wherein, the performance evaluation score characterizes the consistency between the measurement data of the target sensor and the measurement data of other sensors at the current position, as well as the degree of deviation of the measurement data caused by the influence of the current environmental conditions. The evaluation module is used to evaluate the initial coordinates of the target sensor based on the location influence score and the work performance score.

[0013] Thirdly, embodiments of this application provide an electronic device, a processor, a memory, and a bus. The memory stores machine instructions executed by the processor. When the electronic device is running, the processor communicates with the memory via the bus. When the machine instructions are executed by the processor, the steps of the above-described evaluation method for the internal sensor layout of the switch cabinet are performed.

[0014] Fourthly, embodiments of this application provide a computer storage medium storing a computer program, which, when run by a processor, executes the steps of the above-described evaluation method for the internal sensor layout of a switch cabinet.

[0015] The technical solutions provided by the embodiments of this application may include the following beneficial effects: This application provides an evaluation method for the layout of sensors inside a switchgear, applied to a switchgear to be evaluated, wherein various types of sensors are installed inside the casing of the switchgear. The method includes: constructing a virtual coordinate system based on the casing, and determining the initial coordinates of each sensor in the virtual coordinate system; calculating the positional influence score of any target sensor based on the initial coordinates of each sensor; determining the working effect score of the target sensor based on the working data of the target sensor during the operation of the switchgear; wherein the working effect characterizes the consistency between the measurement data of the target sensor and the measurement data of other sensors at the current position, and the degree of deviation of the measurement data caused by the current environmental conditions; and evaluating the initial coordinates of the target sensor based on the positional influence score and the working effect score.

[0016] This solution constructs a virtual coordinate system based on the switchgear enclosure and determines the initial coordinates of each sensor, elevating sensor layout evaluation from qualitative description to quantitative analysis based on spatial coordinates, enabling precise calculation of positional impact. By introducing a performance evaluation score, it solves the problem that existing technologies rely solely on threshold judgments or networking efficiency, failing to measure the accuracy of sensor data at its current position. Furthermore, the coordinate-based positional impact score and the performance evaluation score based on operational data are combined for a comprehensive evaluation of the initial sensor coordinates, achieving dual verification of layout rationality and measured accuracy. This provides an objective and quantifiable decision-making basis for the optimal arrangement of sensors within the switchgear.

[0017] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0018] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 A flowchart illustrating an evaluation method for the internal sensor layout of a switch cabinet, provided in an embodiment of this application, is shown. Figure 2 A schematic diagram of an evaluation method and apparatus for the internal sensor layout of a switch cabinet provided in an embodiment of this application is shown. Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the accompanying drawings in this application are for illustrative and descriptive purposes only and are not intended to limit the scope of protection of this application. Furthermore, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in this application illustrate operations implemented according to some embodiments of this application. It should be understood that the operations in the flowcharts may not be implemented in sequence, and steps without logical contextual relationships may be reversed or implemented simultaneously. In addition, those skilled in the art, guided by the content of this application, may add one or more other operations to the flowcharts, or remove one or more operations from the flowcharts.

[0021] Furthermore, the described embodiments are merely some, not all, of the embodiments of this application. The components of the embodiments of this application described and illustrated herein can typically be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0022] It should be noted that the term "comprising" will be used in the embodiments of this application to indicate the presence of the features declared thereafter, but does not exclude the addition of other features.

[0023] Switchgear, as the core device in a power system for opening, closing, controlling, and protecting electrical equipment, typically houses various types of sensors, including those for temperature, humidity, ultrasonic partial discharge, micro-vibration, electric field, and magnetic field, for condition monitoring. The rationality of sensor layout directly affects the accuracy of monitoring data and the reliability of fault warnings. A reasonable layout can improve the safe operation and maintenance level of the switchgear, while an improper layout may lead to monitoring blind spots, data distortion, or even misjudgments. Therefore, a scientific evaluation of sensor layout is of great significance.

[0024] In the prior art, Chinese invention patent CN113405597B discloses a sensor layout structure and evaluation method in a switch cabinet, which evaluates the layout through structural evaluation functions and efficiency evaluation functions. However, this scheme cannot quantify the contribution of a single sensor position to measurement accuracy; its efficiency evaluation relies on network quality and threshold judgment, and does not take into account the degree of proximity of sensor measurements to the actual physical field inside the cabinet and measurement deviations caused by environmental conditions; moreover, there is a lack of position-based linkage between structural evaluation and efficiency evaluation, making it difficult to comprehensively judge the data accuracy of the sensor at its current position.

[0025] Based on this, embodiments of this application provide a method, apparatus, electronic device, and storage medium for evaluating the layout of sensors inside a switch cabinet, which are described below through embodiments.

[0026] Figure 1 This paper illustrates a flowchart of an evaluation method for the internal sensor layout of a switchgear according to an embodiment of this application, wherein the application includes steps S101-S104; specifically: S101. Construct a virtual coordinate system based on the outer shell, and determine the initial coordinates of each sensor in the virtual coordinate system; S102. Based on the initial coordinates of each of the sensors, calculate the positional influence score of any target sensor; S103. During the operation of the switchgear, a working performance score of the target sensor is determined based on the working data of the target sensor; wherein, the working performance characterizes the consistency between the measurement data of the target sensor and the measurement data of other sensors at the current position, as well as the degree of deviation of the measurement data caused by the influence of the current environmental conditions. S104. Based on the position influence score and the work performance score, evaluate the initial coordinates of the target sensor.

[0027] This solution constructs a virtual coordinate system based on the switchgear enclosure and determines the initial coordinates of each sensor, elevating sensor layout evaluation from qualitative description to quantitative analysis based on spatial coordinates, enabling precise calculation of positional impact. By introducing a performance evaluation score, it solves the problem that existing technologies rely solely on threshold judgments or networking efficiency, failing to measure the accuracy of sensor data at its current position. Furthermore, the coordinate-based positional impact score and the performance evaluation score based on operational data are combined for a comprehensive evaluation of the initial sensor coordinates, achieving dual verification of layout rationality and measured accuracy. This provides an objective and quantifiable decision-making basis for the optimal arrangement of sensors within the switchgear.

[0028] The following describes some embodiments of this application in detail. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0029] This application provides an evaluation method for the internal sensor layout of a switchgear. The method applies to the switchgear to be evaluated, which has various types of sensors installed inside its casing. These various types of sensors include, but are not limited to, temperature sensors, humidity sensors, ultrasonic partial discharge sensors, micro-vibration sensors, electric field sensors, and magnetic field sensors. Specifically, the temperature sensor monitors temperature changes in different areas inside the switchgear; the humidity sensor monitors humidity within the cabinet; the ultrasonic partial discharge sensor detects ultrasonic signals generated by partial discharge and locates the discharge source; the micro-vibration sensor monitors the mechanical vibration state of the internal electrical equipment; the electric field sensor measures the electric field strength at a point inside the cabinet; and the magnetic field sensor measures the magnetic field strength around current-carrying conductors. These sensors work together to reflect the operating status of the switchgear. In this application, sensor layout refers to the distribution of the installation positions and orientations (such as the direction of the sensitive axis) of each sensor within the internal space of the switchgear casing. Specifically, this is manifested in assigning each sensor a set of initial coordinates (and, if necessary, a direction vector) in a virtual coordinate system. A reasonable sensor layout should enable each sensor to measure data close to the actual physical quantity at its position, while minimizing adverse mutual interference with other sensors and exhibiting good adaptability to changes in environmental conditions.

[0030] This application constructs a virtual coordinate system based on the switch cabinet's outer casing. For example, the bottom left front corner of the casing is selected as the origin, with the width direction as the X-axis, the depth direction as the Y-axis, and the height direction as the Z-axis, thus uniquely representing each spatial point within the cabinet as a three-dimensional coordinate (x, y, z). Based on this, the initial coordinates of each sensor in the virtual coordinate system are determined according to its actual or planned installation location. For example, the initial coordinates of a temperature sensor installed at the front center of the cabinet at a height of 800mm can be recorded as (400mm, 200mm, 800mm); the initial coordinates of an ultrasonic partial discharge sensor installed at the top corner of the cabinet can be recorded as (50mm, 50mm, 2250mm). The initial coordinates can be obtained by measuring the distance from the installation location to the origin, or directly read from the CAD model. This step transforms the sensor layout from a qualitative description into precisely calculable values, providing fundamental data for subsequent position influence scoring. The initial coordinates of different sensors reflect their spatial distribution characteristics within the cabinet. For example, temperature sensors are usually distributed in multiple hot zones, while partial discharge sensors often need to form a three-dimensional array. These can all be quantitatively evaluated through the numerical distribution of coordinates.

[0031] After obtaining the initial coordinates of each sensor, this application calculates the position influence score of any target sensor based on these initial coordinates. The purpose of the position influence score is to quantify the impact of the spatial geometry of the sensor at its current installation location on its measurement accuracy. Different types of sensors, due to their different physical principles and monitoring targets, employ different methods for calculating the position influence score, which will be described below.

[0032] For temperature sensors, the positional influence score is calculated based on the spatial coefficient of variation of all temperature sensor coordinates. The spatial coefficient of variation characterizes the uniformity of distribution of all temperature sensors within the switch cabinet. Since the heat source distribution inside the switch cabinet is extremely uneven, to comprehensively monitor the temperature field and avoid data redundancy or monitoring blind spots caused by sensor concentration, temperature sensors should be distributed as evenly as possible across different heat zones within the cabinet.

[0033] In the specific calculation, the coordinates of all temperature sensors are first used to construct a point set. , Calculate the coordinates of its geometric center. ,in , , Similarly, the first Euclidean distance from each sensor coordinate to the geometric center is then calculated:

[0034] Next, calculate the standard deviation of these first Euclidean distances:

[0035] in, This represents the average of the first Euclidean distance. To eliminate the influence of the switch cabinet dimensions, the standard deviation is divided by half the diagonal length of the cabinet space. (For example , For the cabinet's width, depth, and height, the normalized dispersion is obtained. Location influences the score.

[0036] A smaller value indicates a more uniform sensor distribution and closer scores. ; A larger value indicates a more uneven distribution and a lower score. A simpler method can also be used: direct calculation. Standard deviation of three coordinates Divide each by the cabinet dimension in the corresponding direction, take the average value, and then... Subtract this value as the location influence score. The former method is preferred because it comprehensively considers the three-dimensional spatial distribution.

[0037] For humidity sensors, the location impact score is calculated based on the second Euclidean distance between the initial coordinates of the humidity sensor and the nearest vent or condensation risk zone boundary. Humidity sensor measurements are highly susceptible to interference from local airflow and condensation phenomena; therefore, they should be kept as far away from these sources of interference as possible, with greater distance resulting in more reliable measurements. Let the coordinates of the humidity sensor be... The boundary point set of the ventilation area or the boundary point set of the condensation risk area (such as the cold surface of the cabinet wall or the water accumulation area at the bottom) is known. Calculate... The shortest Euclidean distance to this point set: d = min(||P - Q||) For any point on the boundary. A pre-set ideal avoidance distance. (For example ) and maximum effective distance (For example Location affects score. Calculate using the following formula:

[0038] In this embodiment, to encourage the sensor to stay as far away from interference sources as possible, when Time rating ,when The time score is directly proportional to the distance.

[0039] For ultrasonic partial discharge sensors, the positional influence score is calculated based on the volume of the three-dimensional convex hull formed by the coordinates of at least four ultrasonic sensors, including the target sensor. The positioning accuracy of ultrasonic partial discharge sensors depends on the geometric layout of the sensor array: the larger the array's open volume and the longer the baseline, the smaller the positioning error.

[0040] In the specific calculation, all ultrasonic partial discharge sensors (quantity) are selected. If it exceeds Using the coordinates of all points (if any), the convex hull algorithm is used to calculate the 3D convex polyhedron formed by these points, and its volume is calculated. Let the reference volume be... It is one-tenth of the total volume of the switchgear, that is

[0041] It can also be set based on experience. Location affects score:

[0042] This function makes The score increases faster when it is smaller. achieve The time score is approximately , When large enough, it approaches Another, simpler way is: when Time rating Otherwise, the score will be... In this embodiment, an exponential form is preferably used to distinguish the differences in volume.

[0043] For micro-vibration sensors, the positional influence score is calculated by determining the cosine of the angle between the sensor's initial coordinates and its sensitive axis direction, and the normal vector to the surface of the internal electrical equipment. Micro-vibration sensors (such as accelerometers) are direction-sensitive and can only accurately measure vibration components along their sensitive axis. Since mechanical vibrations on the equipment surface primarily propagate along the normal direction, the sensitive axis should be parallel to the normal vector. Let the unit direction vector of the sensor's sensitive axis be... (Determined by the sensor mounting orientation), the unit outward normal vector of the surface of the device under test at the sensor mounting point is: (This can be obtained from the equipment's CAD model or by fitting a plane using three non-collinear points near that point). Calculate the dot product. That is, the cosine value of the included angle. Location affects score:

[0044] Because the included angle exceeds When the sensor is oriented incorrectly, the score is taken. .when and When they are completely parallel and in the same direction The highest score is achieved when the two are perpendicular. ; in the opposite direction If it is negative, the score will be forced to be negative. .

[0045] For an electric field sensor, its positional influence score is calculated based on the third Euclidean distance between the sensor's initial coordinates and the nearest high-voltage conductor. The electric field sensor needs to be as close as possible to the high-voltage conductor, while remaining safe, to obtain a sufficient signal. Let the sensor coordinates be... Given the point set on the surface of the high-voltage conductor, calculate the shortest distance. Three preset parameters: lower limit of safe distance. (For example (To prevent breakdown) Optimal measurement distance (For example (Balance between signal strength and security) and maximum effective distance (For example (The signal is too weak beyond this distance). Location affects the score. Using piecewise linear functions:

[0046] This function is The maximum value is obtained at the location. It decreases towards both sides, and is 0 when it is below the lower limit of the safe distance and when it exceeds the maximum effective distance, which reflects the optimal range that is both safe and sensitive.

[0047] For a magnetic field sensor, the positional influence score is calculated based on the sensor's initial coordinates and the direction of its measurement axis, combined with the positions and current directions of adjacent current-carrying conductors. The sine of the angle between the theoretical magnetic field line tangent and the measurement axis is calculated. According to the Biot-Savart law, the direction of the magnetic field lines at a point around a current-carrying conductor is perpendicular to the plane defined by the line connecting that point to the conductor and the current direction, and is a tangential direction around the conductor. In specific calculations, the geometry of the current-carrying conductor (simplified to an infinitely long straight wire or segmented straight lines) and the current direction are known, within the sensor coordinate system. Calculate the magnetic induction intensity vector at the location The direction is used to obtain the unit tangent vector. Let the unit vector of the sensor's measured axis be... (Determined by installation orientation). Calculate the modulus of the cross product. That is, the sine of the included angle. (range of values) ~ Location influence score:

[0048] when and Vertical (i.e., sine value) When the sensor axis perfectly matches the direction of the magnetic field lines, the signal is at its maximum; when and Sine value when parallel No output. This score directly reflects the degree of attitude alignment.

[0049] Through the differentiated calculations described above, which include specific calculation formulas, each sensor can obtain a... arrive The position of the sensor relative to the surrounding area affects the score; a higher score indicates a more reasonable spatial arrangement of the sensor at the current coordinates. These scores will be used in conjunction with the overall performance score for a comprehensive evaluation.

[0050] After obtaining the location impact score, the method further determines its working effect score based on the real-time working data collected by the target sensor during the actual operation of the switchgear. The working effect characterizes the consistency between the measurement data of the target sensor at its current position and the measurement data of other sensors inside the switchgear, as well as the degree of deviation of the measurement data caused by the influence of the current environmental conditions.

[0051] The performance evaluation is composed of two parts: mutual influence score and environmental impact score. The mutual influence score evaluates the consistency between the measurement data of any target sensor and the measurement data of other sensors within the cabinet (especially those physically related to it). For example, under normal switchgear operation, temperature increases often lead to increased micro-vibrations, therefore the data from the temperature sensor and the micro-vibration sensor should show a positive correlation; partial discharge events simultaneously generate ultrasonic signals and electric field distortions, thus the data from the ultrasonic sensor and the electric field sensor should increase synchronously over time. If the actual data correlation significantly deviates from theoretical expectations, it indicates that the current location of the target sensor may be subject to local interference or an unreasonable layout, causing it to fail to accurately reflect the physical process. The environmental impact score evaluates the degree of deviation of the target sensor's measurement data from the current environmental conditions. Environmental parameters include ambient temperature, ambient humidity, load current, and electromagnetic interference levels, which can cause temperature drift, humidity drift, or electromagnetic coupling errors in the sensor.

[0052] As an optional embodiment, the mutual influence score is calculated in the following manner: First, during the actual operation of the switchgear, a preset time period (e.g., 30 consecutive seconds, with a sampling frequency of 1 Hz) is selected. All the working data collected by the target sensor within this time period are arranged in chronological order to form the first data sequence, denoted as... Where n is the number of data points. Simultaneously, the working data collected by another sensor with a theoretical physical connection to the target sensor within the same time period (e.g., a micro-vibration sensor for a temperature sensor, and an electric field sensor for an ultrasonic partial discharge sensor) are arranged in the same chronological order to form a second data sequence, denoted as . Next, the covariance between the first and second data sequences is calculated:

[0053] in, , And the standard deviations of X and Y respectively:

[0054] The correlation metric is:

[0055] The value of the correlation metric r ranges from [ Between 1,1]: r=1 indicates a perfect positive correlation, meaning the data from the two sensors show completely identical trends; r= 1 indicates a perfect negative correlation with opposite trends; r=0 indicates no linear correlation.

[0056] Based on the physical interaction patterns between different sensors within the switchgear, a desired correlation value can be pre-set for each pair of sensors. For example, increased temperature typically leads to thermal expansion of equipment, which in turn exacerbates micro-vibrations. Therefore, the data from temperature sensors and micro-vibration sensors should theoretically exhibit a positive correlation, with an expected correlation value of 1. When partial discharge occurs, electric field sensors and ultrasonic sensors detect abnormal signals almost simultaneously, and they should also be positively correlated, with an expected correlation value of 1. However, for sensor pairs without direct physical coupling (such as humidity sensors and magnetic field sensors), the expected correlation value is set to 0. In some cases, a negative correlation may exist, for example, if one type of vibration changes inversely with another type of physical quantity; in such cases, the expected correlation value is set to... 1.

[0057] Obtain the actual correlation measure r and the expected correlation value Next, calculate the degree of deviation between the two. The absolute value of the deviation. The larger the value, the more the actual data relationship deviates from the physical expectation, and the lower the mutual influence score should be. To map the deviation to a score in the [0,1] interval, the following method can be used:

[0058] The reason for taking 2 in the denominator is because r and The range of values ​​for all values ​​is within [ [1,1], the maximum possible deviation is 2 (e.g., r=1, while = 1) At this point, the score is 0; when the actual value is exactly the same as the expected value, Δ=0, and the score is 1. If the calculated score is less than 0, it is forced to be 0. This interaction score directly reflects the coordination consistency between the target sensor and other sensors. The higher the score, the more the data measured by the target sensor at this location conforms to the change law of other related sensors, that is, the better the coordination of the layout.

[0059] For example, in a 10kV switchgear, temperature sensor T1 is used as the target sensor, and micro-vibration sensor V1 is selected as the reference. Data is continuously collected for 30 seconds under rated load, yielding the temperature sequence X of T1 and the vibration amplitude sequence Y of V1. The calculated covariance is 0.85, the standard deviation of the temperature sequence is 0.6, and the standard deviation of the vibration sequence is 1.2, with a product of 0.72. The correlation metric r = 0.85 / 0.72 ≈ 1.18. Since the actual limit of the calculation error is 1, r = 1.0 is chosen (in actual engineering, if it exceeds 1, the amplitude can be limited). The preset expected correlation value is 1.0, the deviation Δ = 0, and the mutual influence score is 1, indicating that the two data are completely positively correlated, meeting expectations. In another embodiment, if T1 is installed near the ventilation opening inside the cabinet, causing abnormal temperature fluctuations, the actual calculated r = 0.3, then the deviation Δ = 0.7, and the mutual influence score is 1. 0.7 / 2 = 0.65, indicating poor coordination, and the layout may need adjustment. The above method can quantify the interaction between sensors, providing a basis for evaluating work performance.

[0060] In an optional implementation, to evaluate the degree to which the data measured by the target sensor is affected by environmental factors, this embodiment introduces a reference sensor of the same type as the target sensor. This reference sensor is placed in the external atmospheric environment of the switchgear, or in a stable area inside the cabinet that is minimally affected by environmental conditions (e.g., a cavity in the middle of the cabinet away from heat-generating elements and ventilation openings). The range and accuracy of the reference sensor should be consistent with those of the target sensor, and its measured value serves as a benchmark under current environmental conditions. That is, the output of the reference sensor is considered to reflect only changes in environmental conditions and is unaffected by interference from local heat sources, partial discharges, strong electromagnetic fields, etc., inside the switchgear.

[0061] During the actual operation of the switchgear, a preset time window (e.g., 30 consecutive seconds) is selected to simultaneously collect the operating data of the target sensor and the reference sensor. The measurement value of the target sensor within this time period is recorded as follows: The measured value of the reference sensor is recorded as Calculate the difference sequence between two sequences. This difference reflects the additional measurement deviation caused by internal environmental factors of the switchgear (such as internal heating, excessive local humidity, and strong electric field interference) at the target sensor installation location. To obtain a comprehensive environmentally introduced deviation, the average of the absolute values ​​of the difference sequence can be taken:

[0062] Alternatively, the standard deviation of the difference sequence can be taken. In this embodiment, the average of the absolute values ​​is preferred to simplify the calculation.

[0063] A permissible environmental deviation threshold is pre-set based on the sensor type and engineering experience. For example, for temperature sensors, the allowable deviation can be taken as... For humidity sensors, a tolerance of 5% RH is permissible. Environmental Impact Score Calculate using the following formula:

[0064] That is, when the actual measurement environment introduces deviations. When the deviation is less than or equal to the allowable deviation, the score decreases linearly between 0 and 1; when the deviation equals the allowable deviation, the score is 0; if the deviation exceeds the allowable deviation, the score is 0. Another option is to use a piecewise function: when... hour, ;when hour, This score reflects the severity of the impact of environmental conditions on the target sensor at its current location. A higher score indicates a smaller measurement bias introduced by the environment, and the closer the sensor's measured data is to the actual physical quantities inside the cabinet.

[0065] After obtaining the mutual impact score and the environmental impact score, the two need to be combined to obtain the work effectiveness score. Since different types of sensors have different functional positions and safety requirements in the switch cabinet, this application designs differentiated merging strategies for different sensor types.

[0066] Specifically, if the target sensor is a temperature sensor or a humidity sensor, considering that its monitoring task mainly reflects the overall level of environmental parameters inside the cabinet, the rationality of the location influence (such as whether the temperature sensor is evenly distributed, whether the humidity sensor is far from the ventilation opening) and the accuracy of the working effect (such as the closeness of the measured data to the actual physical quantity, and the deviation due to environmental conditions) both have an equally important impact on the final monitoring quality. Furthermore, there is no hard constraint that either one must be prioritized; therefore, the product method is used to combine the two. Let the location influence score be... The work performance score was The overall score is as follows:

[0067] The product method is characterized by a high overall score only when both scores are high; if one score is low, the product decreases significantly, thus encouraging sensor placement to achieve optimal levels in both spatial distribution and measurement accuracy. The overall score ranges from 0 to 1, with a higher score indicating better initial coordinates for the sensor.

[0068] If the target sensor is an electric field sensor or a magnetic field sensor, its measurement not only requires accurate data, but also prioritizes safety constraints. For example, an electric field sensor may break down if it is too close to a high-voltage conductor, while a magnetic field sensor may saturate or be damaged if it is too close to a current-carrying conductor. Therefore, in the position influence rating, unsafe positions are already rated as 0 based on parameters such as the lower limit of the safe distance. Time rating To reflect the principle of safety first, a weakest link strategy is adopted, that is, the smaller value between the location impact score and the work performance score is used as the overall score:

[0069] If any one of the scores is low (e.g., insecure location or inaccurate data), the overall score will be limited, thus guiding the layout to prioritize meeting safety thresholds and basic accuracy requirements. A higher overall score indicates that both location security and operational effectiveness have reached a better level.

[0070] If the target sensor is an ultrasonic partial discharge sensor or a micro-vibration sensor, its core performance often has clearly defined engineering compliance requirements, rather than a sequential ranking comparison. For example, the positioning accuracy of an ultrasonic partial discharge sensor is usually required to be less than a certain value (e.g., 10cm), and the sensitive axis deviation of a micro-vibration sensor needs to be less than a certain angle (e.g., 15°). These types of sensors focus more on whether they meet the minimum performance indicators; therefore, a threshold-based evaluation method is used. A positional influence scoring threshold is pre-set based on engineering experience or industry standards. and work performance rating threshold For example, both can be set to 0.6. When If the initial coordinates of the target sensor are within acceptable limits, the layout is considered acceptable; otherwise, it is considered unacceptable. This method directly outputs the acceptance / disacceptance conclusion, facilitating rapid engineering decision-making without further sorting.

[0071] When the initial coordinates of the target sensor are determined to be an unqualified layout based on the above evaluation, this application further provides a method for generating coordinate adjustment suggestions to guide users in optimizing the sensor installation position. Specifically, the main cause of the unqualified layout is determined based on the lower of the position impact score and the performance score, and corresponding adjustment suggestions are generated accordingly.

[0072] If the location impact score is lower than the performance score, it indicates that the unreasonable spatial geometry of the sensor's current installation location is the main factor causing the layout failure. For example, for a temperature sensor, a low location impact score (e.g., less than 0.5) usually means that all temperature sensors are unevenly distributed (excessive spatial variability) or that the sensor is located in a hot zone dead corner within the cabinet. The resulting coordinate adjustment suggestions include: moving the temperature sensor to an currently uncovered hot area (e.g., from the busbar compartment to the cable compartment), or adjusting its coordinates to bring the geometric center of all temperature sensors closer to the cabinet center to reduce the spatial variability. For a humidity sensor, a low location impact score indicates that it is too close to a vent or condensation risk zone boundary. It is recommended to move the humidity sensor away from the vent or condensation risk zone, for example, from near the cold surface of the cabinet wall to a stable airflow area in the middle of the cabinet. For an ultrasonic partial discharge sensor, a low location impact score often means that the convex hull volume is too small and the array baseline is insufficient. It is recommended to distribute the target sensor and other ultrasonic sensors as widely as possible, for example, moving sensors originally concentrated on one side of the cabinet to a diagonal position to increase the three-dimensional convex hull volume. For micro-vibration sensors, a low position influence score is usually due to an excessively large angle between the sensitive axis and the normal vector of the measured device surface. It is recommended to adjust the sensor's mounting orientation so that its sensitive axis is parallel to the normal vector of the device surface, or to use an angle gauge during installation to ensure the angle is close to 0 degrees. For electric field sensors, a low position influence score may be due to being too close (risk of breakdown) or too far (weak signal) from a high-voltage conductor. It is recommended to adjust the distance according to the deviation direction from the optimal measurement range in the scoring function: if the distance is less than the safety threshold, increase the distance to the safety range; if the distance is greater than the optimal measurement distance, decrease the distance to get closer to the optimal measurement point. For magnetic field sensors, a low position influence score is usually due to the measurement axis not being perpendicular to the tangent direction of the theoretical magnetic field lines (small sine value). It is recommended to adjust the sensor's mounting angle so that its axis is perpendicular to the direction of the magnetic field lines generated by the current-carrying conductor, or to use an adjustable bracket for calibration.

[0073] If the performance score is lower than the location impact score, it indicates that the sensor's data accuracy is more problematic in the current environment. A low performance score can be further subdivided into low mutual impact scores or low environmental impact scores. If the mutual impact score is low (e.g., a large deviation between actual and expected correlation), it is recommended to check whether the sensor is subject to localized interference or improper arrangement with other sensors. For example, move the target sensor away from strong electromagnetic interference sources, or replace the sensor with one that is aging and causing slow response. If the environmental impact score is low (e.g., the measurement deviation from the reference sensor exceeds the allowable value), it is recommended to take measures such as shielding, heat insulation, and dehumidification to reduce the impact of environmental factors, or move the sensor to a more stable area within the cabinet (e.g., away from vents, heaters, or damp areas). Additionally, it is also recommended to calibrate the sensor to improve its environmental adaptability.

[0074] To facilitate project implementation, the above adjustment suggestions can be output in text or graphical form through a human-machine interface. For example, the current coordinates and suggested movement direction can be highlighted in the three-dimensional virtual coordinate system of the switchgear, along with specific displacement or angle adjustment values. For instance, in a 10kV switchgear, the overall score of temperature sensor T1 is 0.429 (unacceptable), with a positional influence score of 0.67 and a performance score of 0.64, both close and low, but the performance score is slightly lower. Further analysis reveals a low environmental influence score (0.38) and a high mutual influence score (0.90). Therefore, the following suggestion is generated: check if T1 is close to heat sources inside the cabinet (such as busbar joints), and suggest moving it to a position of (600mm, 900mm, 800mm) and adding a heat insulation baffle. If the user adopts the suggestion and re-evaluates until it passes the test, the layout optimization is complete. Through this method, targeted adjustments to sensor layout can be provided, improving the overall performance of the switchgear monitoring system.

[0075] Figure 2 This illustration shows a structural schematic diagram of an evaluation device for the internal sensor layout of a switchgear according to an embodiment of this application. The device operates on a switchgear to be evaluated, wherein various types of sensors are disposed within the outer casing of the switchgear. The device includes: A coordinate system construction module is used to construct a virtual coordinate system based on the outer shell and determine the initial coordinates of each sensor in the virtual coordinate system. The position influence scoring module is used to calculate the position influence score of any target sensor based on the initial coordinates of each of the sensors. The performance evaluation module is used to determine the performance evaluation score of the target sensor based on the working data of the target sensor during the operation of the switch cabinet; wherein, the performance evaluation score characterizes the consistency between the measurement data of the target sensor and the measurement data of other sensors at the current position, as well as the degree of deviation of the measurement data caused by the influence of the current environmental conditions. The evaluation module is used to evaluate the initial coordinates of the target sensor based on the location influence score and the work performance score.

[0076] The calculation of the positional influence score of any target sensor based on the initial coordinates of each of the sensors includes: When the target sensor is a temperature sensor, the spatial variation coefficient is calculated based on the initial coordinates of the temperature sensor to obtain a positional influence score; wherein, the spatial variation coefficient characterizes the uniformity of the distribution of all temperature sensors within the switch cabinet; When the target sensor is a humidity sensor, the second Euclidean distance to the nearest vent or condensation risk zone boundary is calculated based on the initial coordinates of the humidity sensor to obtain a location impact score. When the target sensor is an ultrasonic partial discharge sensor, the three-dimensional convex hull volume formed by the coordinates of at least four ultrasonic sensors, including the target sensor, is calculated based on the initial coordinates of the ultrasonic partial discharge sensor to obtain the position influence score. When the target sensor is a micro-vibration sensor, the cosine value of the angle between the micro-vibration sensor and the surface normal vector of the internal power equipment is calculated based on the initial coordinates of the micro-vibration sensor and its sensitive axis direction to obtain the position influence score; When the target sensor is an electric field sensor, the third Euclidean distance to the nearest high-voltage conductor is calculated based on the initial coordinates of the electric field sensor to obtain the position influence score; When the target sensor is a magnetic field sensor, the sine value of the angle between the theoretical magnetic field line tangent direction and the measurement axis is calculated based on the initial coordinates of the magnetic field sensor and the direction of the measurement axis, combined with the position and current direction of the adjacent current-carrying conductor, to obtain the position influence score.

[0077] During the operation of the switchgear, the performance score of the target sensor is determined based on the working data of the target sensor, including: Based on the correlation between the working data of the target sensor and other sensors, a mutual influence score is calculated; The environmental impact score is calculated based on the deviation between the operating data of the target sensor and the environmental operating parameters. The overall work performance score is obtained by combining the mutual influence score and the environmental impact score.

[0078] The step of calculating the mutual influence score based on the correlation between the working data of the target sensor and other sensors includes: The working data of the target sensor collected within a preset time period constitutes a first data sequence, and the working data of the other sensors collected within the same preset time period constitutes a second data sequence. Calculate the covariance between the first data sequence and the second data sequence, and calculate the standard deviation of the first data sequence and the second data sequence respectively. Divide the covariance by the product of the two standard deviations to obtain the correlation measure. The mutual influence score is obtained based on the degree of deviation between the correlation metric and the preset expected correlation value.

[0079] The step of calculating the environmental impact score based on the deviation between the operating data of the target sensor and the environmental operating parameters includes: The measurement deviation introduced by the environment is determined based on the difference between the working data of the target sensor and the working data of the preset reference sensor. The environmental impact score is calculated based on the measurement deviation introduced by the environment and the preset allowable deviation.

[0080] The evaluation of the initial coordinates of the target sensor based on the position influence score and the work performance score includes: When the target sensor is a temperature sensor or a humidity sensor, the position influence score is multiplied by the work performance score, and the product is used as a comprehensive score. The comprehensive score is used to evaluate the quality of the initial coordinates. When the target sensor is an electric field sensor or a magnetic field sensor, the smaller value between the position influence score and the work effect score is taken as the comprehensive score, and the quality of the initial coordinates is evaluated by the comprehensive score. When the target sensor is an ultrasonic partial discharge sensor or a micro-vibration sensor, if both the position influence score and the working effect score reach their respective preset thresholds, the initial coordinates are determined to be a qualified layout; otherwise, they are considered an unqualified layout.

[0081] When the initial coordinates of the target sensor are determined to be an unqualified layout, a coordinate adjustment suggestion is generated based on the lower of the position influence score and the work performance score.

[0082] like Figure 3 As shown, this application provides an electronic device for executing the evaluation method for the internal sensor layout of a switch cabinet as described in this application. The device includes a memory, a processor, a bus, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the evaluation method for the internal sensor layout of the switch cabinet.

[0083] Specifically, the aforementioned memory and processor can be general-purpose memory and processor, without any specific limitations. When the processor runs the computer program stored in the memory, it can execute the aforementioned evaluation method for the internal sensor layout of the switch cabinet.

[0084] Corresponding to the evaluation method for the internal sensor layout of the switchgear in this application, this application embodiment also provides a computer storage medium storing a computer program, which is executed by a processor to perform the steps of the above-described evaluation method for the internal sensor layout of the switchgear.

[0085] Specifically, the storage medium can be a general-purpose storage medium, such as a portable disk or hard disk. When the computer program on the storage medium is run, it can execute the aforementioned evaluation method for the sensor layout inside the switch cabinet.

[0086] In the embodiments provided in this application, it should be understood that the disclosed systems and methods can be implemented in other ways. The system embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and there may be other division methods in actual implementation. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the coupling or direct coupling or communication connection shown or discussed may be through some communication interface; the indirect coupling or communication connection between systems or units may be electrical, mechanical, or other forms.

[0087] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0088] In addition, the functional units in the embodiments provided in this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0089] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0090] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. In addition, the terms "first", "second", "third", etc. are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0091] Finally, it should be noted that the above-described embodiments are merely specific implementations of this application, used to illustrate the technical solutions of this application, and not to limit them. The protection scope of this application is not limited thereto. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments, or make equivalent substitutions for some of the technical features, within the scope of the technology disclosed in this application; and these modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application. All should be covered within the protection scope of this application. Therefore, the protection scope of this application should be determined by the protection scope of the claims.

Claims

1. A method for evaluating the layout of sensors inside a switchgear, characterized in that, The method applies to a switchgear to be evaluated, wherein various types of sensors are installed inside the enclosure of the switchgear; the method includes: A virtual coordinate system is constructed using the outer shell as a reference, and the initial coordinates of each sensor in the virtual coordinate system are determined. Based on the initial coordinates of each of the sensors, calculate the positional influence score of any target sensor; During the operation of the switchgear, a performance score for the target sensor is determined based on the working data of the target sensor. The performance score characterizes the consistency between the target sensor's measurement data and that of other sensors at the current position, as well as the degree of deviation of the measurement data caused by the current environmental conditions. The initial coordinates of the target sensor are evaluated based on the location influence score and the work performance score. The calculation of the positional influence score of any target sensor based on the initial coordinates of each of the sensors includes: When the target sensor is a temperature sensor, the spatial variation coefficient is calculated based on the initial coordinates of the temperature sensor to obtain a positional influence score; wherein, the spatial variation coefficient characterizes the uniformity of the distribution of all temperature sensors within the switch cabinet; When the target sensor is a humidity sensor, the second Euclidean distance to the nearest vent or condensation risk zone boundary is calculated based on the initial coordinates of the humidity sensor to obtain a location impact score. When the target sensor is an ultrasonic partial discharge sensor, the three-dimensional convex hull volume formed by the coordinates of at least four ultrasonic sensors, including the target sensor, is calculated based on the initial coordinates of the ultrasonic partial discharge sensor to obtain the position influence score. When the target sensor is a micro-vibration sensor, the cosine value of the angle between the micro-vibration sensor and the surface normal vector of the internal power equipment is calculated based on the initial coordinates of the micro-vibration sensor and its sensitive axis direction to obtain the position influence score; When the target sensor is an electric field sensor, the third Euclidean distance to the nearest high-voltage conductor is calculated based on the initial coordinates of the electric field sensor to obtain the position influence score; When the target sensor is a magnetic field sensor, the sine value of the angle between the theoretical magnetic field line tangent direction and the measurement axis is calculated based on the initial coordinates of the magnetic field sensor and the direction of the measurement axis, combined with the position and current direction of the adjacent current-carrying conductor, so as to obtain the position influence score; During the operation of the switchgear, the performance score of the target sensor is determined based on the working data of the target sensor, including: Based on the correlation between the working data of the target sensor and other sensors, a mutual influence score is calculated; The environmental impact score is calculated based on the deviation between the operating data of the target sensor and the environmental operating parameters. The work effectiveness score is obtained by combining the mutual influence score and the environmental impact score. The evaluation of the initial coordinates of the target sensor based on the position influence score and the work performance score includes: When the target sensor is a temperature sensor or a humidity sensor, the position influence score is multiplied by the work performance score, and the product is used as a comprehensive score. The comprehensive score is used to evaluate the quality of the initial coordinates. When the target sensor is an electric field sensor or a magnetic field sensor, the smaller value between the position influence score and the work effect score is taken as the comprehensive score, and the quality of the initial coordinates is evaluated by the comprehensive score. When the target sensor is an ultrasonic partial discharge sensor or a micro-vibration sensor, if both the position influence score and the working effect score reach their respective preset thresholds, the initial coordinates are determined to be a qualified layout; otherwise, they are considered an unqualified layout.

2. The method according to claim 1, characterized in that, The step of calculating the mutual influence score based on the correlation between the working data of the target sensor and other sensors includes: The working data of the target sensor collected within a preset time period constitutes a first data sequence, and the working data of the other sensors collected within the same preset time period constitutes a second data sequence. Calculate the covariance between the first data sequence and the second data sequence, and calculate the standard deviation of the first data sequence and the second data sequence respectively. Divide the covariance by the product of the two standard deviations to obtain the correlation measure. The mutual influence score is obtained based on the degree of deviation between the correlation metric and the preset expected correlation value.

3. The method according to claim 1, characterized in that, The step of calculating the environmental impact score based on the deviation between the operating data of the target sensor and the environmental operating parameters includes: The measurement deviation introduced by the environment is determined based on the difference between the working data of the target sensor and the working data of the preset reference sensor. The environmental impact score is calculated based on the measurement deviation introduced by the environment and the preset allowable deviation.

4. The method according to claim 1, characterized in that, When the initial coordinates of the target sensor are determined to be an unqualified layout, a coordinate adjustment suggestion is generated based on the lower of the position influence score and the work performance score.

5. An evaluation device for the layout of sensors inside a switchgear, characterized in that, The device operates on a switchgear to be evaluated, wherein various types of sensors are installed inside the enclosure of the switchgear; the device includes: A coordinate system construction module is used to construct a virtual coordinate system based on the outer shell and determine the initial coordinates of each sensor in the virtual coordinate system. The position influence scoring module is used to calculate the position influence score of any target sensor based on the initial coordinates of each of the sensors. The performance evaluation module is used to determine the performance evaluation score of the target sensor based on the working data of the target sensor during the operation of the switch cabinet; wherein, the performance evaluation score characterizes the consistency between the measurement data of the target sensor and the measurement data of other sensors at the current position, as well as the degree of deviation of the measurement data caused by the influence of the current environmental conditions. The evaluation module is used to evaluate the initial coordinates of the target sensor based on the location influence score and the work performance score. The calculation of the positional influence score of any target sensor based on the initial coordinates of each of the sensors includes: When the target sensor is a temperature sensor, the spatial variation coefficient is calculated based on the initial coordinates of the temperature sensor to obtain a positional influence score; wherein, the spatial variation coefficient characterizes the uniformity of the distribution of all temperature sensors within the switch cabinet; When the target sensor is a humidity sensor, the second Euclidean distance to the nearest vent or condensation risk zone boundary is calculated based on the initial coordinates of the humidity sensor to obtain a location impact score. When the target sensor is an ultrasonic partial discharge sensor, the three-dimensional convex hull volume formed by the coordinates of at least four ultrasonic sensors, including the target sensor, is calculated based on the initial coordinates of the ultrasonic partial discharge sensor to obtain the position influence score. When the target sensor is a micro-vibration sensor, the cosine value of the angle between the micro-vibration sensor and the surface normal vector of the internal power equipment is calculated based on the initial coordinates of the micro-vibration sensor and its sensitive axis direction to obtain the position influence score; When the target sensor is an electric field sensor, the third Euclidean distance to the nearest high-voltage conductor is calculated based on the initial coordinates of the electric field sensor to obtain the position influence score; When the target sensor is a magnetic field sensor, the sine value of the angle between the theoretical magnetic field line tangent direction and the measurement axis is calculated based on the initial coordinates of the magnetic field sensor and the direction of the measurement axis, combined with the position and current direction of the adjacent current-carrying conductor, so as to obtain the position influence score; During the operation of the switchgear, the performance score of the target sensor is determined based on the working data of the target sensor, including: Based on the correlation between the working data of the target sensor and other sensors, a mutual influence score is calculated; The environmental impact score is calculated based on the deviation between the operating data of the target sensor and the environmental operating parameters. The work effectiveness score is obtained by combining the mutual influence score and the environmental impact score. The evaluation of the initial coordinates of the target sensor based on the position influence score and the work performance score includes: When the target sensor is a temperature sensor or a humidity sensor, the position influence score is multiplied by the work performance score, and the product is used as a comprehensive score. The comprehensive score is used to evaluate the quality of the initial coordinates. When the target sensor is an electric field sensor or a magnetic field sensor, the smaller value between the position influence score and the work effect score is taken as the comprehensive score, and the quality of the initial coordinates is evaluated by the comprehensive score. When the target sensor is an ultrasonic partial discharge sensor or a micro-vibration sensor, if both the position influence score and the working effect score reach their respective preset thresholds, the initial coordinates are determined to be a qualified layout; otherwise, they are considered an unqualified layout.

6. An electronic device, characterized in that, include: The device includes a processor, a memory, and a bus. The memory stores machine instructions that the processor executes. When the electronic device is running, the processor communicates with the memory via the bus. When the machine instructions are executed by the processor, they perform the steps of the evaluation method for the sensor layout inside the switch cabinet as described in any one of claims 1 to 4.

7. A computer storage medium, characterized in that, The computer storage medium stores a computer program that, when executed by a processor, performs the steps of the evaluation method for the internal sensor layout of the switch cabinet as described in any one of claims 1 to 4.

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