Intensive power transmission channel remote monitoring method and system based on space-time analysis

Abstract

The invention relates to the technical field of power transmission line monitoring, in particular to an intensive power transmission channel remote monitoring method and system based on space-time analysis, and the method comprises the steps: analyzing the space-time correlation characteristics of the operation states of construction equipment and a power transmission line based on the operation data of the construction equipment and the operation data of the power transmission line; constructing an interference factor set of the construction equipment to the power transmission line; evaluating the anti-interference capability of the power transmission line to each interference factor in the interference factor set based on the operation data of the power transmission line; extracting the interference intensity of each interference factor in the interference factor set, and determining the interference risk of each interference factor in combination with an anti-interference capability evaluation result; and determining a safe operation area of the construction equipment in the monitoring area based on the spatial distribution characteristics of the interference risk. The anti-interference capability of the power transmission line is evaluated by combining the operation state of the power transmission line, and the operation safety and the intelligent management and control level of the intensive power transmission channel are effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power transmission line monitoring, and in particular to a method and system for remotely monitoring dense power transmission channels based on spatiotemporal analysis. Background Art

[0002] A dense transmission channel refers to a transmission line channel consisting of two or more ultra-high voltage direct current lines with a minimum spacing between adjacent direct current lines of no more than 100 meters. A dense transmission channel has a narrow line corridor and a large channel transmission capacity. It shoulders the heavy responsibility of cross-regional power supply and is the lifeline for ensuring the safe operation of the power grid.

[0003] With the acceleration of urbanization and the continuous advancement of infrastructure construction, a large number of infrastructure construction, road construction, building renovation and expansion operations frequently occur in areas around transmission lines, and the safety contradiction between construction equipment and transmission lines is becoming increasingly prominent.

[0004] However, transmission lines exhibit significant differences in their resistance to interference from construction equipment under varying load rates and windage conditions. For example, transmission lines operating at high loads are more sensitive to electromagnetic interference, while increases in conductor windage angles and sag significantly reduce the transmission line's tolerance for spatial intrusion. Traditional transmission channel monitoring methods typically only consider the static distance between construction equipment and transmission lines or employ a single-dimensional safety threshold for risk assessment. These methods fail to fully account for the dynamic impact of the transmission line's real-time operating status on interference sensitivity, resulting in insufficiently accurate assessments of construction equipment interference risk, making them difficult to adapt to the safety management requirements of complex construction environments. Summary of the Invention

[0005] In order to overcome the defects and shortcomings of the existing technology, the present invention provides a remote monitoring method and system for dense transmission channels based on spatiotemporal analysis. By evaluating the anti-interference ability of the transmission line in combination with the operating status of the transmission line, the operating safety and intelligent management and control level of the dense transmission channel are effectively improved.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions: In a first aspect, the present invention provides a remote monitoring method for intensive transmission channels based on spatiotemporal analysis, comprising: S100, acquiring construction equipment operation data and transmission line operation data within a monitoring area; S200, analyzing the spatiotemporal correlation characteristics of the operation status of construction equipment and transmission lines based on the construction equipment operation data and the transmission line operation data, and constructing a set of interference factors of construction equipment on transmission lines; S300, evaluating the anti-interference capability of transmission lines to each interference factor in the interference factor set based on the transmission line operation data; S400, extracting the interference intensity of each interference factor in the interference factor set and determining the interference risk of each interference factor in combination with the anti-interference capability evaluation result; S500, determining the safe operating area of ​​construction equipment in the monitoring area based on the spatial distribution characteristics of the interference risk.

[0007] Furthermore, the step S200 of constructing the interference factor set of the construction equipment on the transmission line includes: S210, extracting the spatiotemporal matching data between the construction equipment and the transmission line and constructing an interference factor model of the construction equipment on the transmission line, wherein the interference factor model includes a spatial intrusion interference factor model, an electromagnetic radiation interference factor model, and a mechanical vibration interference factor model; S220 , determining the interference intensity corresponding to each interference factor through the interference factor model and constructing an interference factor set of the construction equipment on the transmission line, wherein the interference factor set includes the interference factor type and the corresponding interference intensity.

[0008] Furthermore, the step S300 of evaluating the anti-interference capability of the transmission line to each interference factor in the interference factor set includes: S310, obtaining historical transmission line operation data and historical interference factor data; S320, dividing the transmission lines into different operating status categories by combining historical transmission line operating data with a clustering algorithm and constructing a transmission line operating status set; S330, determining, based on historical interference factor data, an anti-interference capability coefficient of the transmission line to each interference factor under different transmission line operation states in the transmission line operation state set; S340 , determining the transmission line operation state according to the transmission line operation data and extracting the corresponding anti-interference capability coefficient of each interference factor, so as to evaluate the anti-interference capability of the transmission line to each interference factor under the influence of the transmission line operation state.

[0009] Furthermore, determining the anti-interference capability coefficient in step S330 includes: S331. Extracting the historical interference intensity of each interference factor and the fluctuation amplitude of the transmission line operation data at the corresponding moment from the historical interference factor data and the historical transmission line operation data. The fluctuation amplitude includes the voltage deviation rate, the frequency deviation rate, and the harmonic distortion rate. S332. Determine the Pearson correlation coefficient between the historical interference intensity of each interference factor and the fluctuation amplitude of the transmission line operation data at the corresponding moment, and use the difference between 1 and the mean of the absolute value of the Pearson correlation coefficient as the anti-interference ability coefficient of the transmission line to each interference factor.

[0010] Furthermore, determining the interference risk of each interference factor in step S400 includes: S410, obtaining the interference intensity of each interference factor in the interference factor set and the anti-interference capability coefficient of each interference factor; S420. Determine the interference risk coefficient of each interference factor by combining the interference intensity and anti-interference ability coefficient of each interference factor using the logarithmic proportional method: ; in, Interference factor The interference risk factor, Interference factor The interference intensity, is the interference factor of the transmission line The anti-interference ability coefficient.

[0011] Furthermore, the step S500 of determining the safe operation area of ​​the construction equipment within the monitoring area includes: S510, dividing the monitoring area into grid units and determining the interference risk coefficient of each interference factor corresponding to the grid unit; S520, performing weighted summation of the interference risk coefficients of the interference factors in the grid unit to obtain a comprehensive interference risk coefficient of the construction equipment at the grid unit to the transmission line; S530 , connecting the grid cells whose comprehensive interference risk coefficients are greater than a preset comprehensive interference risk threshold to obtain a safe operation area for construction equipment within the monitoring area.

[0012] In a second aspect, the present invention provides a remote monitoring system for dense power transmission channels based on spatiotemporal analysis, comprising: Data acquisition module, used to obtain construction equipment operation data and transmission line operation data within the monitoring area; a spatial correlation feature analysis module, connected to the data acquisition module, for analyzing the spatiotemporal correlation features of the operating states of the construction equipment and the transmission line based on the construction equipment operating data and the transmission line operating data, and constructing a set of interference factors of the construction equipment on the transmission line; an anti-interference capability evaluation module, connected to the space correlation feature analysis module, for evaluating the anti-interference capability of the transmission line to each interference factor in the interference factor set based on the transmission line operation data; An interference risk assessment module, connected to the anti-interference capability assessment module, is used to extract the interference intensity of each interference factor in the interference factor set and determine the interference risk of each interference factor in combination with the anti-interference capability assessment result; The safe operation area assessment module is connected to the interference risk assessment module and is used to determine the safe operation area of ​​the construction equipment in the monitoring area based on the spatial distribution characteristics of the interference risk.

[0013] Compared with the prior art, the present invention has the following advantages and beneficial effects: The present invention constructs a multidimensional interference factor model including spatial intrusion, electromagnetic radiation and mechanical vibration, and dynamically evaluates the anti-interference ability of the transmission line to different interference factors in combination with the operating status of the transmission line, thereby realizing accurate identification and quantitative evaluation of construction interference risks, and then dynamically reflecting the potential impact of construction equipment on the operational safety of the transmission line, effectively delineating the safe operating area of ​​the construction equipment, thereby significantly improving the operational safety and intelligent management and control level of intensive transmission channels. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Other features, objects and advantages of the present invention will become more apparent upon reading the detailed description of non-limiting embodiments made with reference to the following drawings: Figure 1 1 is a flow chart of a method for remote monitoring of dense power transmission channels based on spatiotemporal analysis provided by an embodiment of the present invention; Figure 2 is a flowchart of step S200 provided in an embodiment of the present invention; Figure 3 is a flowchart of step S300 provided in an embodiment of the present invention; Figure 4 is a flowchart of step S330 provided in an embodiment of the present invention; Figure 5 is a flowchart of step S400 provided in an embodiment of the present invention; Figure 6 is a flowchart of step S500 provided in an embodiment of the present invention; Figure 7 Schematic diagram of the structure of a remote monitoring system for dense power transmission channels based on spatiotemporal analysis provided by an embodiment of the present invention; Figure 8 It is a structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0015] The technical solution of the present invention is described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present invention and the specific features in the embodiments are detailed descriptions of the technical solution of the present invention, rather than limitations on the technical solution of the present invention. In the absence of conflict, the embodiments of the present invention and the technical features in the embodiments can be combined with each other.

[0016] See Figure 1 , Figure 1 This is a schematic diagram of the overall process of a method for remote monitoring of dense power transmission channels based on spatiotemporal analysis provided by an embodiment of the present invention, which specifically includes the following steps: S100. Acquire construction equipment operation data and transmission line operation data within the monitoring area. The construction equipment operation data includes the operation trajectory, operation range and operation time of the construction equipment. The transmission line operation data includes the transmission conductor temperature, current load rate, conductor windage angle, conductor sag, electric field strength, and the spatial position of the transmission conductor and transmission tower.

[0017] S200, analyzing the spatiotemporal correlation characteristics of the operating states of the construction equipment and the transmission line based on the construction equipment operating data and the transmission line operating data, and constructing a set of interference factors of the construction equipment on the transmission line; The spatial intrusion interference factor reflects whether the working space of construction equipment overlaps with the protection zone of the transmission line. In other words, it determines whether there are physical risks such as mechanical collision, conductor contact, or insufficient safety distance. The electromagnetic radiation interference factor indicates the risk of interference or even malfunction of the transmission line caused by electromagnetic waves generated by the operation of the construction equipment. The mechanical vibration interference factor describes the impact of ground vibration caused by construction equipment on the stability of the transmission tower foundation structure or conductor vibration. The interference of the above construction equipment on the transmission line will reduce the operational safety and stability of the transmission line. Please refer to Figure 2 , Figure 2 is a flow chart of step S200 provided in an embodiment of the present invention, including: S210, extracting the spatiotemporal matching data of construction equipment and transmission lines and constructing an interference factor model of construction equipment on transmission lines, the interference factor model includes a spatial intrusion interference factor model, an electromagnetic radiation interference factor model and a mechanical vibration interference factor model, wherein the spatial intrusion interference factor model can be , is the interference intensity of the spatial intrusion interference factor, It is the spatial overlapping volume of the construction equipment operation space envelope and the transmission line protection zone. is the spatial volume of the protection zone of the transmission line, through Reflects the ratio of construction equipment intrusion into the protection zone of the transmission line. The larger the ratio, the higher the intrusion ratio and the more serious the spatial intrusion interference. The electromagnetic radiation interference factor model can be , is the interference intensity of the electromagnetic radiation interference factor, is the electromagnetic radiation power density of the construction equipment, that is, the source intensity of the electromagnetic radiation, is the radiation gain coefficient of the construction equipment, which is used to describe the concentration ability of the electromagnetic radiation of the construction equipment in a certain direction. It can be measured and calculated using a high-frequency current sensor or an interference detection antenna. is the minimum spatial distance between construction equipment and transmission lines, It is used to describe the law of electromagnetic wave propagation in which the power density of electromagnetic waves decreases with the square of the distance; The mechanical vibration interference factor model can be , is the interference intensity of the mechanical vibration interference factor, is the vibration amplitude generated by the construction equipment, represents the design vibration amplitude of the transmission line tower, It indicates the ratio of the vibration amplitude currently generated by the construction equipment to the tower design safety reference value, and is used to normalize the vibration amplitude. is the vibration attenuation coefficient of the foundation medium, which can be obtained through vibration propagation test. is the horizontal distance between the construction equipment and the transmission tower, where Represents an exponential decay model, which is used to describe the exponential energy loss of vibration in the medium and conforms to the attenuation law of geomechanics; S220. Determine the interference intensity corresponding to each interference factor through the interference factor model and construct an interference factor set of the construction equipment on the transmission line. The interference factor set includes the interference factor type and the corresponding interference intensity. The interference factor set is used to quantitatively express the interference effect of the construction equipment disturbing the transmission line, providing data support for subsequent interference risk assessment, so that the entire monitoring system has the ability to quantitatively perceive and dynamically respond to external interference.

[0018] S300, evaluating the anti-interference capability of the transmission line to each interference factor in the interference factor set based on the transmission line operation data; A transmission line's ability to resist different interference factors is not fixed but dynamically adjusts as its operating state changes. When a transmission line is operating under high load, high temperature, or with abnormal electrical parameters, its resistance to external interference decreases. For example, when conductor sag increases or electric field strength fluctuates significantly, the transmission line is more susceptible to spatial intrusion or electromagnetic interference. Therefore, accurately determining the current operating state of a transmission line and evaluating its anti-interference capability in that state are crucial for improving the accuracy of interference risk assessment. See [Note: The following sentences appear to be unrelated and should likely be omitted:] Figure 3 , Figure 33 is a flow chart of step S300 provided in an embodiment of the present invention, including: S310, obtaining historical transmission line operation data and historical interference factor data; S320. Using historical transmission line operation data in combination with a clustering algorithm, the transmission lines are divided into different operating status categories and a transmission line operating status set is constructed. The operating status categories in the transmission line operating status set are determined with reference to DL / T1249-2013 "Technical Guidelines for Overhead Transmission Line Operating Status Assessment", specifically including normal state, caution state, abnormal state, and severe state. The clustering algorithm is any one of the K-Means algorithm, the DBSCAN (Density-Based Spatial Clustering of Applications with Noise) algorithm, and the GMM (Gaussian Mixture Models) algorithm. By constructing the transmission line operating status set, a unified analysis framework is established for the response characteristics of various interference factors under different states, laying the foundation for dynamic anti-interference capability assessment under state perception. S330, based on historical interference factor data, determine the anti-interference capability coefficient of the transmission line to each interference factor under different transmission line operation states in the transmission line operation state set, see Figure 4 , Figure 4 3 is a flow chart of step S330 provided in an embodiment of the present invention, including: S331. Extracting the historical interference intensity of each interference factor and the fluctuation amplitude of the transmission line operation data at the corresponding time from the historical interference factor data and the historical transmission line operation data. The fluctuation amplitude includes the voltage deviation rate, the frequency deviation rate, and the harmonic distortion rate. By extracting the historical interference intensity and the corresponding fluctuation amplitude, the degree of influence of the interference behavior on the operational stability of the transmission line can be effectively characterized, thereby establishing a quantitative correlation between the interference behavior and the line state response. S332. Determine the Pearson correlation coefficient between the historical interference intensity of each interference factor and the fluctuation amplitude of the transmission line operation data at the corresponding time, and use the difference between 1 and the mean of the absolute value of the Pearson correlation coefficient as the anti-interference capability coefficient of the transmission line to each interference factor: ,in, is the interference factor of the transmission line The anti-interference ability coefficient, Interference factor The Pearson correlation coefficient between the historical interference intensity and the voltage deviation rate of the transmission line, Interference factor The Pearson correlation coefficient between the historical interference intensity and the frequency deviation rate of the transmission line, Interference factor The Pearson correlation coefficient between the historical interference intensity and the harmonic distortion rate of the transmission line is For example: ; in, Interference factor exist The historical interference intensity at the moment, Interference factor The historical mean interference intensity of For transmission lines in The voltage deviation rate at the moment, is the mean voltage deviation rate of the transmission line, is the monitoring time of historical interference factor data and historical transmission line operation data, Interference factor Pearson correlation coefficient between the historical interference intensity and the voltage deviation rate of the transmission line; The Pearson correlation coefficient between historical interference intensity and fluctuation amplitude reflects the fluctuation sensitivity of transmission lines under different operating conditions, and then determines the anti-interference capability coefficient to achieve a standardized quantitative expression of anti-interference capability. The anti-interference capability coefficient keenly captures the line's tolerance to different interferences, avoids subjective weight setting, and achieves data-driven objective anti-interference capability modeling. S340, determine the operating state of the transmission line based on the transmission line operating data and extract the anti-interference capability coefficient of each corresponding interference factor, which is used to evaluate the anti-interference capability of the transmission line to each interference factor under the influence of the transmission line operating state. By identifying the actual operating state of the current transmission line and automatically matching the anti-interference capability coefficients of various interference factors under the corresponding state, the anti-interference capability evaluation is closer to the actual operating conditions of the line, thereby enhancing the accuracy of subsequent interference risk assessment. Among them, the specific steps of determining the operating state of the transmission line based on the transmission line operating data include: (1) extracting the key feature parameters of the transmission line operating data and constructing a state feature vector; (2) performing Z-score standardization on the state feature vector; (3) inputting the standardized state feature vector into the clustering algorithm in step S320 to determine the clustering category, that is, the transmission line operating state corresponding to the transmission line operating data.

[0019] S400, extracting the interference intensity of each interference factor in the interference factor set and determining the interference risk of each interference factor in combination with the anti-interference capability evaluation result; Interference intensity reflects the degree of external disturbance imposed by construction equipment on the transmission line and is a quantitative indicator of the interference source. The anti-interference coefficient represents the transmission line's ability to withstand various types of disturbances under its current operating state and is an indicator of the response capability of the interfered object. The essence of interference risk depends on the correlation between interference intensity and anti-interference coefficient. The combination of the two can fully assess the actual threat that construction equipment may pose to the safe operation of the line. Please refer to Figure 5 , Figure 5 4 is a flow chart of step S400 provided in an embodiment of the present invention, including: S410, obtaining the interference intensity of each interference factor in the interference factor set and the anti-interference capability coefficient of each interference factor; S420. Determine the interference risk coefficient of each interference factor by combining the interference intensity and anti-interference ability coefficient of each interference factor using the logarithmic proportional method: ; in, Interference factor The interference risk factor, Interference factor The interference intensity, The larger the value of , the more severe the external disturbance is, and the higher the corresponding risk potential is. is the interference factor of the transmission line The anti-interference capability coefficient describes the tolerance of the transmission line to the interference type. It indicates the proportional relationship between the external interference intensity and the line's tolerance, that is, the antagonistic relationship between interference and anti-interference. The larger the ratio, the more likely the interference is to exceed the line's tolerance range, and thus the greater the interference risk. 1 is used to ensure that even in the absence of interference, , interference risk coefficient , that is, the interference risk is 0 at this time, thus ensuring that the logarithmic result is non-negative. The role of the logarithmic form is to convert the original proportional relationship Perform nonlinear compression to avoid the dominant effect of maximum values ​​on the output; S500, determining a safe operating area for construction equipment within the monitoring area based on the spatial distribution characteristics of the interference risk; In densely populated transmission corridors, construction activities can cause complex interference to transmission lines. Once construction equipment enters a high-risk area, it can easily cause transmission line failures or equipment damage. By comprehensively assessing the risk distribution of various interference factors and scientifically defining safe operating areas for construction equipment, we can effectively avoid uncontrollable interference with line operations, improve operational safety, and enhance grid stability. Figure 6 , Figure 6This is a flow chart of step S500 provided in an embodiment of the present invention, including: S510, dividing the monitoring area into grid units and determining the interference risk coefficient of each interference factor corresponding to the grid unit. By dividing the monitoring area into regular grid units and combining the spatiotemporal relationship between the construction equipment and the transmission line in each unit to determine the risk coefficient of each interference factor, the grid processing helps to achieve a detailed description of the risk distribution in the area; S520, performing a weighted summation of the interference risk coefficients of the interference factors in the grid unit to obtain a comprehensive interference risk coefficient of the construction equipment at the grid unit to the transmission line. By performing a weighted summation of the risk coefficients of the interference factors in the grid unit to obtain a comprehensive interference risk coefficient for each unit location, the combined effects of multiple interference types on the transmission line can be comprehensively reflected. S530. Connect the grid cells whose comprehensive interference risk coefficient is greater than the preset comprehensive interference risk threshold to obtain the safe operation area for construction equipment in the monitoring area. By performing spatial connectivity analysis on high-risk grid cells, continuous safe operation areas can be identified and delineated to improve the efficiency of construction operation decision-making and reduce the probability of construction equipment mistakenly entering high-risk areas.

[0020] In an embodiment of the present invention, the setting parameters such as weighted weights and preset comprehensive interference risk thresholds can be determined by constructing a data set by acquiring construction equipment operation data and transmission line operation data, substituting the data into the calculated comprehensive interference risk coefficient of the construction equipment on the transmission line, and simultaneously acquiring the expert's judgment result on the degree of interference of the construction equipment on the transmission line, importing the calculated comprehensive interference risk coefficient and judgment result into the fitting software, and outputting the weighted weights and preset comprehensive interference risk thresholds that meet the maximum judgment accuracy.

[0021] See Figure 7 , Figure 7 : is a schematic diagram of the structure of a dense transmission channel remote monitoring system based on spatiotemporal analysis provided by an embodiment of the present invention, including: Data acquisition module 210, used to acquire construction equipment operation data and transmission line operation data within the monitoring area; The spatial correlation feature analysis module 220 is connected to the data acquisition module 210 and is used to analyze the spatiotemporal correlation features of the operating status of the construction equipment and the transmission line based on the construction equipment operating data and the transmission line operating data, and to construct a set of interference factors of the construction equipment on the transmission line; The anti-interference capability evaluation module 230 is connected to the space correlation feature analysis module 220 and is used to evaluate the anti-interference capability of the transmission line to each interference factor in the interference factor set based on the transmission line operation data; Interference risk assessment module 240, connected to anti-interference capability assessment module 230, for extracting the interference intensity of each interference factor in the interference factor set and determining the interference risk of each interference factor in combination with the anti-interference capability assessment result; The safe operation area assessment module 250 is connected to the interference risk assessment module 240 and is used to determine the safe operation area of ​​the construction equipment within the monitoring area based on the spatial distribution characteristics of the interference risk.

[0022] In this embodiment of the present invention, the spatiotemporal correlation feature analysis module 220 is used to analyze the spatiotemporal correlation features of the operating status of construction equipment and transmission lines based on the construction equipment operating data and the transmission line operating data, and to construct a set of interference factors of the construction equipment on the transmission lines, including: Extract the spatiotemporal matching data between construction equipment and transmission lines and build an interference factor model of construction equipment on transmission lines. The interference factor model includes a spatial intrusion interference factor model, an electromagnetic radiation interference factor model, and a mechanical vibration interference factor model. The interference factor model is used to determine the interference intensity corresponding to each interference factor and to construct an interference factor set of construction equipment on the transmission line. The interference factor set includes the interference factor type and the corresponding interference intensity.

[0023] In an embodiment of the present invention, the anti-interference capability evaluation module 230 is configured to evaluate the anti-interference capability of the transmission line to each interference factor in the interference factor set based on the transmission line operation data, including: Obtain historical transmission line operation data and historical interference factor data; The transmission lines are divided into different operating status categories by combining historical transmission line operation data with clustering algorithm and a transmission line operating status set is constructed; The anti-interference capability coefficient of the transmission line to various interference factors under different transmission line operation states in the transmission line operation state set is determined based on historical interference factor data, including: The historical interference intensity of each interference factor and the fluctuation amplitude of the transmission line operation data at the corresponding moment are extracted through the historical interference factor data and the historical transmission line operation data. The fluctuation amplitude includes the voltage deviation rate, frequency deviation rate and harmonic distortion rate. Determine the Pearson correlation coefficient between the historical interference intensity of each interference factor and the fluctuation amplitude of the transmission line operation data at the corresponding time, and use the difference between 1 and the mean of the absolute value of the Pearson correlation coefficient as the anti-interference ability coefficient of the transmission line to each interference factor; The operating status of the transmission line is determined according to the operating data of the transmission line, and the anti-interference ability coefficient of each corresponding interference factor is extracted to evaluate the anti-interference ability of the transmission line to each interference factor under the influence of the operating status of the transmission line.

[0024] In the embodiment of the present invention, the interference risk assessment module 240 is used to extract the interference intensity of each interference factor in the interference factor set and determine the interference risk of each interference factor in combination with the anti-interference capability assessment result, including: Obtain the interference intensity of each interference factor in the interference factor set and the anti-interference ability coefficient of each interference factor; The interference risk coefficient of each interference factor is determined by combining the interference intensity and anti-interference ability coefficient of each interference factor using the logarithmic proportion method.

[0025] In an embodiment of the present invention, the safe operation area assessment module 250 is used to determine the safe operation area of ​​the construction equipment within the monitoring area based on the spatial distribution characteristics of the interference risk, including: Divide the monitoring area into grid units and determine the interference risk coefficient of each interference factor corresponding to the grid unit; The interference risk coefficients of each interference factor in the grid unit are weighted and summed to obtain the comprehensive interference risk coefficient of the construction equipment at the grid unit to the transmission line; The safe operation area of ​​the construction equipment in the monitoring area is obtained by connecting the grid cells whose comprehensive interference risk coefficient is greater than the preset comprehensive interference risk threshold.

[0026] The above-mentioned parameters and steps for each unit module to implement corresponding functions in the remote monitoring system of dense transmission channels based on spatiotemporal analysis of the present invention can refer to the parameters and steps in the embodiment of the remote monitoring method of dense transmission channels based on spatiotemporal analysis, and will not be repeated here.

[0027] Please refer to Figure 8 An embodiment of the present invention further provides an electronic device 300, comprising a memory 310, a processor 320, and a communication bus 330. The memory 310 and the processor 320 are connected via the communication bus 330. The memory 310 stores a method for remotely monitoring dense power transmission channels based on spatiotemporal analysis, as provided in the above embodiment, which can be loaded and executed by the processor 320.

[0028] The memory 310 may be used to store instructions, programs, codes, code sets, or instruction sets. The memory 310 may include a program storage area and a data storage area. The program storage area may store instructions for implementing an operating system, instructions for at least one function, and instructions for implementing the method for remotely monitoring dense power transmission channels based on spatiotemporal analysis provided in the above-mentioned embodiment. The data storage area may store data related to the method for remotely monitoring dense power transmission channels based on spatiotemporal analysis provided in the above-mentioned embodiment.

[0029] The processor 320 may include one or more processing cores. The processor 320 executes instructions, programs, code sets, or instruction sets stored in the memory 310, calls data stored in the memory 310, and performs various functions and processes data of the present invention. The processor 320 may be at least one of an application-specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a central processing unit (CPU), a controller, a microcontroller, and a microprocessor. It is understood that for different devices, the electronic components used to implement the above-mentioned functions of the processor 320 may also be other, and the embodiments of the present invention are not specifically limited thereto.

[0030] The communication bus 330 may include a path for transmitting information between the above components. The communication bus 330 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The communication bus 330 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 8 Only one double arrow is used in the diagram, but this does not mean that there is only one bus or one type of bus.

[0031] An embodiment of the present invention provides a computer-readable storage medium storing a computer program that can be loaded by a processor and execute the method for remotely monitoring dense power transmission channels based on spatiotemporal analysis as provided in the above embodiment.

[0032] In embodiments of the present invention, a computer-readable storage medium may be a tangible device that retains and stores instructions used by an instruction execution device. A computer-readable storage medium may be, but is not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any combination thereof. Specifically, a computer-readable storage medium may be a portable computer disk, a hard disk, a USB flash drive, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a rostrum random access memory (SRAM), a portable compact disc read-only memory (CD-ROM), a digital versatile disc (DVD), a memory stick, a floppy disk, an optical disc, a magnetic disk, a mechanical encoding device, or any combination thereof.

[0033] The terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed or inherent to such process, method, article, or apparatus.

[0034] The above description is merely a preferred embodiment of the present invention and an illustration of the underlying technical principles. Those skilled in the art should understand that the scope of application of the present invention is not limited to technical solutions formed by specific combinations of the aforementioned technical features. It also encompasses other technical solutions formed by any combination of the aforementioned technical features or their equivalents, without departing from the aforementioned application concepts. For example, a technical solution formed by replacing the aforementioned features with (but not limited to) technical features with similar functions claimed in the present invention.

Claims

1. A remote monitoring method for dense power transmission channels based on spatiotemporal analysis, characterized in that: include: S100, obtaining construction equipment operation data and transmission line operation data within the monitoring area; S200, analyzing the spatiotemporal correlation characteristics of the operating states of the construction equipment and the transmission line based on the construction equipment operating data and the transmission line operating data, and constructing a set of interference factors of the construction equipment on the transmission line; S300, evaluating the anti-interference capability of the transmission line to each interference factor in the interference factor set based on the transmission line operation data; S400, extracting the interference intensity of each interference factor in the interference factor set and determining the interference risk of each interference factor in combination with the anti-interference capability evaluation result; S500: Determine a safe operating area for construction equipment within a monitoring area based on spatial distribution characteristics of interference risks.

2. The method for remote monitoring of dense power transmission channels based on spatiotemporal analysis according to claim 1, characterized in that: The step S200 of constructing the interference factor set of the construction equipment on the transmission line includes: S210, extracting the spatiotemporal matching data between the construction equipment and the transmission line and constructing an interference factor model of the construction equipment on the transmission line, wherein the interference factor model includes a spatial intrusion interference factor model, an electromagnetic radiation interference factor model, and a mechanical vibration interference factor model; S220 , determining the interference intensity corresponding to each interference factor through the interference factor model and constructing an interference factor set of the construction equipment on the transmission line, wherein the interference factor set includes the interference factor type and the corresponding interference intensity.

3. The method for remote monitoring of dense power transmission channels based on spatiotemporal analysis according to claim 1, characterized in that: The step S300 of evaluating the anti-interference capability of the transmission line to each interference factor in the interference factor set includes: S310, obtaining historical transmission line operation data and historical interference factor data; S320, dividing the transmission lines into different operating status categories by combining historical transmission line operating data with a clustering algorithm and constructing a transmission line operating status set; S330, determining, based on historical interference factor data, an anti-interference capability coefficient of the transmission line to each interference factor under different transmission line operation states in the transmission line operation state set; S340 , determining the transmission line operation state according to the transmission line operation data and extracting the corresponding anti-interference capability coefficient of each interference factor, so as to evaluate the anti-interference capability of the transmission line to each interference factor under the influence of the transmission line operation state.

4. The method for remote monitoring of dense power transmission channels based on spatiotemporal analysis according to claim 3, characterized in that: Determining the anti-interference capability coefficient in step S330 includes: S331. Extracting the historical interference intensity of each interference factor and the fluctuation amplitude of the transmission line operation data at the corresponding moment from the historical interference factor data and the historical transmission line operation data. The fluctuation amplitude includes the voltage deviation rate, the frequency deviation rate, and the harmonic distortion rate. S332. Determine the Pearson correlation coefficient between the historical interference intensity of each interference factor and the fluctuation amplitude of the transmission line operation data at the corresponding moment, and use the difference between 1 and the mean of the absolute value of the Pearson correlation coefficient as the anti-interference ability coefficient of the transmission line to each interference factor.

5. The method for remote monitoring of dense power transmission channels based on spatiotemporal analysis according to claim 1, characterized in that: Determining the interference risk of each interference factor in step S400 includes: S410, obtaining the interference intensity of each interference factor in the interference factor set and the anti-interference capability coefficient of each interference factor; S420. Determine the interference risk coefficient of each interference factor by combining the interference intensity and anti-interference ability coefficient of each interference factor using the logarithmic proportional method: ； in, Interference factor The interference risk factor, Interference factor The interference intensity, is the interference factor of the transmission line The anti-interference ability coefficient.

6. The method for remote monitoring of dense power transmission channels based on spatiotemporal analysis according to claim 1, characterized in that: Determining the safe operating area of ​​the construction equipment within the monitoring area in step S500 includes: S510, dividing the monitoring area into grid units and determining the interference risk coefficient of each interference factor corresponding to the grid unit; S520, performing weighted summation of the interference risk coefficients of the interference factors in the grid unit to obtain a comprehensive interference risk coefficient of the construction equipment at the grid unit to the transmission line; S530 , connecting the grid cells whose comprehensive interference risk coefficients are greater than a preset comprehensive interference risk threshold to obtain a safe operation area for construction equipment within the monitoring area.

7. A remote monitoring system for dense power transmission channels based on spatiotemporal analysis, used to implement the remote monitoring method for dense power transmission channels based on spatiotemporal analysis according to any one of claims 1 to 6, characterized in that: The system comprises: Data acquisition module, used to obtain construction equipment operation data and transmission line operation data within the monitoring area; a spatial correlation feature analysis module, connected to the data acquisition module, for analyzing the spatiotemporal correlation features of the operating states of the construction equipment and the transmission line based on the construction equipment operating data and the transmission line operating data, and constructing a set of interference factors of the construction equipment on the transmission line; an anti-interference capability evaluation module, connected to the space correlation feature analysis module, for evaluating the anti-interference capability of the transmission line to each interference factor in the interference factor set based on the transmission line operation data; An interference risk assessment module, connected to the anti-interference capability assessment module, is used to extract the interference intensity of each interference factor in the interference factor set and determine the interference risk of each interference factor in combination with the anti-interference capability assessment result; The safe operation area assessment module is connected to the interference risk assessment module and is used to determine the safe operation area of ​​the construction equipment in the monitoring area based on the spatial distribution characteristics of the interference risk.

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