Street code sheath and anti-creeping monitoring device and method

Abstract

The invention discloses a street code sheath and an anti-creeping monitoring device and method, and belongs to the technical field of electric leakage monitoring. The method comprises the steps that when it is monitored based on an electric leakage detection sensor that inflow current and outflow current of a detected object are inconsistent, an electric leakage monitoring module is triggered to carry out voltage detection to obtain voltage information, meanwhile, a temperature monitoring module is triggered to carry out temperature collection to obtain temperature information, and the voltage information comprises a voltage average value; when it is determined that the voltage information meets a reporting condition, the voltage information and the temperature information are combined based on a preset combination algorithm to obtain combined information, and the reporting condition is that the duration of continuously monitoring the voltage meets a preset duration and the voltage average value is larger than a preset threshold value; and reporting the combined information to a cloud platform through a 4G communication module based on an MQTT protocol. According to the technical scheme, the problem that the current old distribution network low-voltage line overhead conductor is easy to have an electric leakage risk can be solved, and electric leakage monitoring of the old distribution network low-voltage line overhead conductor can be efficiently realized with low cost.

Description

Technical Field

[0001] The present application belongs to the field of leakage monitoring, and specifically relates to a street code cover and an anti-leakage monitoring device and method. Background Art

[0002] With the continuous advancement of urbanization, the development of urban-rural integration is becoming more and more vigorous, and the length of low-voltage cables in distribution networks is getting longer and longer, resulting in many distribution network lines operating with defects, especially the overhead wires of old distribution network low-voltage lines.

[0003] At present, the overhead wires of old distribution network low-voltage lines are usually fixed by street brackets and iron wire ties. During long-term operation, insulation damage often occurs between street brackets and wires. The insulation of insulated wires at corners is more prone to aging and cracking than that of insulated wires in cross-line mode. This fixing method of street brackets and iron wire ties is prone to leakage risk and poses serious public safety hazards involving electricity. Therefore, it is necessary to design a real-time and efficient monitoring device to monitor leakage of overhead wires of old distribution network low-voltage lines. Summary of the invention

[0004] The purpose of the embodiments of the present application is to provide a street code sheath and an anti-leakage monitoring device and method, with the aim of solving the problem that the overhead wires of the old distribution network low-voltage lines are prone to leakage risks and pose serious electrical safety hazards. This solution can realize leakage monitoring of the overhead wires of the old distribution network low-voltage lines at low cost and high efficiency.

[0005] In a first aspect, an embodiment of the present application provides a method for monitoring leakage prevention, the method comprising:

[0006] When the leakage detection sensor detects that the inflow current and outflow current of the object under test are inconsistent, the leakage monitoring module is triggered to perform voltage detection to obtain voltage information, and the temperature monitoring module is triggered to perform temperature acquisition to obtain temperature information, wherein the voltage information includes the voltage average value;

[0007] When it is determined that the voltage information meets the reporting condition, the voltage information is combined with the temperature information based on a preset combination algorithm to obtain combined information, wherein the reporting condition is that the duration of continuous monitoring of the voltage meets a preset duration and the voltage average value is greater than a preset threshold;

[0008] The combined information is reported to the cloud platform through the 4G communication module based on the MQTT protocol.

[0009] Further, the voltage information includes a voltage value and a voltage detection time, the temperature information includes a temperature value and a temperature detection time, and the voltage information and the temperature information are combined based on a preset combination algorithm to obtain the combined information, including:

[0010] Combine the voltage value and the temperature value based on a preset combination algorithm to obtain a combined value;

[0011] Based on a preset combination algorithm, combine the voltage value, the voltage detection time, the temperature value, and the temperature detection time to obtain a voltage and temperature change curve graph.

[0012] Further, the combining the voltage value and the temperature value based on a preset combination algorithm to obtain a combined value includes:

[0013] Assign weights to the voltage information and the temperature information, and calculate the combined value based on the weighted average formula for the voltage value and the temperature value;

[0014] Weighted average formula:

[0015] Among them, C represents the combined value, w V represents the voltage information weight, w T represents the temperature information weight, V i and T i respectively represent the i-th voltage value and temperature value, and n represents the number of the voltage value and the temperature value.

[0016] The combining the voltage value, the voltage detection time, the temperature value, and the temperature detection time based on a preset combination algorithm to obtain a voltage and temperature change curve graph includes:

[0017] Record the voltage value and the temperature value according to the voltage detection time and the temperature detection time to obtain voltage time series data and temperature time series data;

[0018] Based on the voltage time series data and the temperature time series data, draw a voltage and temperature change curve graph.

[0019] Further, after combining the voltage information and the temperature information based on a preset combination algorithm to obtain combined information, it further includes:

[0020] Determine the first leakage risk level according to the preset value interval corresponding to the leakage risk level in which the combined value falls;

[0021] Calculate the similarity of the curves in the voltage and temperature change curve graph and the historical voltage and temperature change curve graph in the historical leakage information pre-stored in the database based on the dynamic time adjustment algorithm;

[0022] In the case where the similarity is greater than the preset similarity threshold, determine the historical leakage risk level associated with the historical voltage and temperature change curve graph as the second leakage risk level;

[0023] When the first leakage risk level is the same as the second leakage risk level, determine the first leakage risk level or the second leakage risk level as the leakage risk level;

[0024] When the first leakage risk level is different from the second leakage risk level, determine the higher one of the first leakage risk level and the second leakage risk level as the leakage risk level.

[0025] Further, after triggering the leakage monitoring module to perform voltage detection to obtain voltage information and triggering the temperature monitoring module to perform temperature acquisition to obtain temperature information when it is detected that the object under test generates a voltage, it further includes:

[0026] When it is determined that the voltage information does not meet the reporting condition, determine the trigger frequencies of the leakage monitoring module and the temperature monitoring module according to the voltage information, and re-detect the voltage information and the temperature information based on the trigger frequencies.

[0027] Further, the voltage information includes the duration of the detected voltage. Determining the trigger frequencies of the leakage monitoring module and the temperature monitoring module according to the voltage information includes:

[0028] Compare the duration with a preset duration. When the duration is less than or equal to the first preset duration, the corresponding trigger frequency is the first trigger frequency;

[0029] When the duration is greater than the first preset duration and less than or equal to the second preset duration, the corresponding trigger frequency is the second trigger frequency;

[0030] When the duration is greater than the second preset duration, the corresponding trigger frequency is the third trigger frequency. The first preset duration is less than the second preset duration, and the first trigger frequency is less than the second trigger frequency and less than the third trigger frequency.

[0031] Further, determining the trigger frequencies of the leakage monitoring module and the temperature monitoring module according to the voltage information includes;

[0032] Compare the average voltage value with a preset average threshold. When the average voltage value is less than or equal to the first average threshold, the corresponding trigger frequency is the first trigger frequency;

[0033] When the average voltage value is greater than the first average threshold and less than or equal to the second average threshold, the corresponding trigger frequency is the second trigger frequency;

[0034] When the average voltage is greater than the second average threshold, the corresponding trigger frequency is the third trigger frequency, the first average threshold is less than the second average threshold, and the first trigger frequency is less than the second trigger frequency is less than the third trigger frequency.

[0035] In a second aspect, an embodiment of the present application provides a leakage prevention monitoring device, the device includes:

[0036] A trigger module, configured to trigger a leakage monitoring module to perform voltage detection to obtain voltage information and simultaneously trigger a temperature monitoring module to perform temperature acquisition to obtain temperature information when it is detected based on a leakage detection sensor that the inflow current and the outflow current of the object under test are inconsistent, where the voltage information includes an average voltage;

[0037] A combined information acquisition module, configured to combine the voltage information and the temperature information to obtain combined information based on a preset combination algorithm when it is determined that the voltage information meets the reporting condition, where the reporting condition is that the duration of continuously monitoring the voltage meets a preset duration and the average voltage is greater than a preset threshold;

[0038] A reporting module, configured to report the combined information to a cloud platform through a 4G communication module based on the MQTT protocol.

[0039] In a third aspect, an embodiment of the present application provides a street code sheath, the street code sheath includes a processor, a memory, and a program or instruction stored on the memory and executable on the processor, and when the program or instruction is executed by the processor, the steps of the method described in the first aspect are implemented.

[0040] In a fourth aspect, an embodiment of the present application provides a readable storage medium, a program or instruction is stored on the readable storage medium, and when the program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented.

[0041] In an embodiment of the present application, when it is detected based on a leakage detection sensor that the inflow current and the outflow current of the object under test are inconsistent, a leakage monitoring module is triggered to perform voltage detection to obtain voltage information, and at the same time, a temperature monitoring module is triggered to perform temperature acquisition to obtain temperature information, where the voltage information includes an average voltage; when it is determined that the voltage information meets the reporting condition, the voltage information and the temperature information are combined to obtain combined information based on a preset combination algorithm, where the reporting condition is that the duration of continuously monitoring the voltage meets a preset duration and the average voltage is greater than a preset threshold; the combined information is reported to a cloud platform through a 4G communication module based on the MQTT protocol. The above leakage prevention monitoring method can solve the problem that the overhead conductors of low-voltage lines in old and aging distribution networks are prone to leakage risks and there are serious potential safety hazards related to electricity, and can realize the leakage monitoring of overhead conductors of low-voltage lines in old and aging distribution networks at low cost and high efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 FIG. 0 is a schematic flowchart of a leakage prevention monitoring method provided by an embodiment of the present application;

[0043] Figure 2 FIG. 1 is a schematic flowchart of a method for determining a leakage risk level provided by an embodiment of the present application;

[0044] Figure 3 FIG. 2 is a schematic structural diagram of a leakage prevention monitoring device provided by an embodiment of the present application;

[0045] Figure 4 FIG. 3 is a schematic structural diagram of a street code sheath provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0046] In order to make the objectives, technical solutions and advantages of the present application clearer, the following further describes the specific embodiments of the present application in detail with reference to the accompanying drawings. It can be understood that the specific embodiments described herein are only used to explain the present application, rather than limiting the present application. Additionally, it should be noted that for the sake of description, only parts related to the present application are shown in the drawings, rather than all the content. Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe the operations (or steps) as sequential processes, many of the operations can be implemented in parallel, concurrently or simultaneously. In addition, the order of the operations can be rearranged. When the operations are completed, the process can be terminated, but there may also be additional steps not included in the drawings. The process can correspond to a method, function, procedure, subroutine, subprogram, etc.

[0047] The following will clearly describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are some, but not all, of the embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application belong to the scope of protection of the present application.

[0048] The terms "first", "second", etc. in the description and claims of this application are used to distinguish similar objects, rather than to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so that the embodiments of this application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are usually of the same category, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" in the description and claims means at least one of the connected objects, and the character " / " generally means that the related objects before and after are in an "or" relationship.

[0049] The following will combine the accompanying drawings and, through specific embodiments and their application scenarios, elaborate in detail on the street code sheath, anti-leakage monitoring device, method, and equipment provided by the embodiments of this application.

[0050] The application scenario of this application is to monitor the leakage of overhead conductors of old low-voltage distribution networks. The above anti-leakage monitoring method is specifically executed by an anti-leakage monitoring device.

[0051] Figure 1 It is a schematic flowchart of an anti-leakage monitoring method provided by an embodiment of this application. As Figure 1 shown, the method includes:

[0052] S101. When it is detected by the leakage detection sensor that the inflow current and the outflow current of the object under test are inconsistent, trigger the leakage monitoring module to perform voltage detection to obtain voltage information, and at the same time trigger the temperature monitoring module to collect temperature to obtain temperature information. The voltage information includes the average voltage.

[0053] Among them, the leakage detection sensor is a device used to detect whether there is a leakage in an electrical device or system. The leakage detection sensor is based on the principle of electromagnetic isolation and magnetic modulation of the mutual inductor, and converts the measured AC micro-current and DC micro-current into DC current and DC voltage, and isolates and outputs a standard analog signal or digital signal. The voltage monitoring module refers to a module used to detect voltage changes in a circuit. It can measure the voltage magnitude in the circuit in real time and can convert the measured data for processing. For example, convert the analog signal of the voltage into a digital signal for easy transmission and display. The voltage information refers to the voltage value detected by the voltage monitoring module and the relevant information during the voltage value acquisition process. The temperature monitoring module refers to a device used to measure and monitor temperature, which can convert temperature changes into voltage signals and output digital or analog signals. The temperature information refers to the temperature value detected by the temperature monitoring module and the relevant information during the temperature value acquisition process. The average voltage refers to the average value obtained by averaging all the voltage values collected by the voltage detection module.

[0054] In one embodiment, the residual current in the circuit is monitored according to the leakage monitoring sensor. Under normal circumstances, the inflow current and the outflow current in the circuit are equal. When there are situations such as leakage or insulation damage, part of the current will leak through the abnormal path, resulting in an imbalance between the inflow and outflow currents, and the leakage detection sensor can detect this residual current. That is to say, when it is detected that the inflow current and the outflow current of the object under test are inconsistent, it indicates that there is a leakage situation in the object under test at this time. At this time, the microcontroller sends an instruction to the leakage monitoring module through the corresponding communication protocol to make the leakage monitoring module start voltage detection. At the same time, an instruction to start temperature acquisition is sent to the temperature monitoring module to make the temperature monitoring module start temperature detection. After the leakage monitoring module and the temperature monitoring module complete the voltage and temperature detections, the microcontroller reads the voltage information and the temperature information through the communication interface. For example, the I2C read function can be used to read the voltage data and the temperature data in the format specified in the data manual of the module, and the specific method is not limited. Necessary processing is performed on the obtained voltage and temperature information, such as unit conversion, data calibration, etc., to make it intuitive and usable data.

[0055] S102. When it is determined that the voltage information meets the reporting condition, based on a preset combination algorithm, the voltage information and the temperature information are combined to obtain combined information, where the reporting condition is that the duration of continuously monitoring the voltage meets a preset duration and the average voltage is greater than a preset threshold.

[0056] Among them, the reporting condition refers to the requirements that need to be met to trigger an alarm event. The preset combination algorithm refers to an algorithm rule set in advance before data processing or information integration. This algorithm can combine multiple pieces of information from different sources or of different types (such as voltage information and temperature information) according to specific logic or rules, so as to generate new combined information with specific meanings or uses. The preset duration refers to the shortest duration required to determine that the leakage situation of the object under test needs to be reported, and the preset threshold refers to the average voltage value that needs to be reached to determine that the leakage situation of the object under test needs to be reported.

[0057] In one embodiment, the voltage is continuously monitored through the leakage monitoring module, the duration of continuously monitoring the voltage information is recorded, and the voltage value detected each time is recorded. The average value of all the recorded voltage values is calculated, and it is judged whether this average value is greater than the preset voltage threshold. If both conditions of "the continuous monitoring duration meets the standard" and "the average voltage is greater than the preset threshold" are satisfied, it is considered that the voltage information meets the reporting condition. At this time, the voltage information and the temperature information are combined according to the preset combination algorithm to generate new combined information.

[0058] Optionally, the voltage information includes a voltage value and a voltage detection time, the temperature information includes a temperature value and a temperature detection time, and combining the voltage information with the temperature information based on a preset combination algorithm to obtain combined information includes:

[0059] Combining the voltage value with the temperature value based on a preset combination algorithm to obtain a combined value;

[0060] Combining the voltage value, the voltage detection time, the temperature value, and the temperature detection time based on a preset combination algorithm to obtain a voltage and temperature change curve graph.

[0061] Among them, the voltage value refers to the voltage magnitude of the object under test detected by the leakage monitoring module. The voltage detection time refers to the specific time point when the voltage is detected. At this moment, the voltage of the object under test is monitored and measured by the leakage monitoring module. The temperature value is a physical quantity representing the current hot or cold degree of the object under test. The temperature detection time refers to the specific time point when the temperature is detected. The combined value refers to a comprehensive value obtained by fusing the voltage value and the temperature value based on a preset algorithm. The voltage and temperature change curve graph is a graph used to display the changing trends of voltage and temperature over time. This graph usually consists of a horizontal axis (representing time) and a vertical axis (representing voltage and temperature values respectively). By plotting the curves of voltage and temperature changing over time, their changing trends and mutual relationships can be intuitively reflected.

[0062] In one embodiment, define an algorithm that accepts the voltage value and the temperature value as inputs. According to business requirements, design algorithm logic such as weighted average, product, ratio, etc. to calculate the combined value. Define an algorithm that accepts the voltage value, the voltage detection time, the temperature value, and the temperature detection time as inputs. The algorithm should include steps such as data sorting, interpolation (if a smoother curve is needed), axis setting, chart type selection (such as a line chart), etc. Use a graphics library (such as Matplotlib, ECharts, etc.) to generate the voltage and temperature change curve graph.

[0063] Optionally, combining the voltage value with the temperature value based on a preset combination algorithm to obtain a combined value includes:

[0064] Assign weights to the voltage information and the temperature information, and calculate the combined value based on the weighted average formula for the voltage value and the temperature value;

[0065] Weighted average formula:

[0066] Among them, C represents the combined value, w V represents the voltage information weight, w T represents the temperature information weight, V i and Ti respectively represent the i-th voltage value and temperature value, and n represents the number of the voltage values and the temperature values.

[0067] Among them, the weight refers to the degree of importance or influence of voltage information and temperature information in leakage monitoring, which is manifested as a numerical value and is used to reflect the relative contribution or importance of different variables or data points when calculating the overall result.

[0068] In one embodiment, a series of voltage values V1, V2.....V are first obtained n , correspondingly, temperature values T1, T2......T are obtained n , and the number of voltage values and temperature values is the same. Then weights are assigned to the voltage information and temperature information, and the sum of w V and w T is 1.

[0069] In the leakage problem, the abnormal increase in voltage is an important indication signal because leakage is often accompanied by abnormal voltage changes. Especially when the leakage is serious, the voltage will increase significantly. Temperature can also be an indirect indication of leakage. During the leakage process, due to the abnormal flow of current, additional heat will be generated, resulting in an increase in the temperature of the device or the surrounding environment. Therefore, its reliability as a leakage indication is not as direct as that of voltage. Therefore, in this embodiment, the weight w V of the voltage information can be set to 0.7, and the weight w T of the temperature information can be set to 0.3.

[0070] Substitute the obtained voltage values, temperature values, and the preset voltage weight and temperature weight into the formula to obtain a combined value.

[0071] Optionally, combining the voltage value, voltage detection time, temperature value, and temperature detection time based on a preset combination algorithm to obtain a voltage and temperature change curve graph, including:

[0072] Record the voltage values and the temperature values according to the voltage detection time and the temperature detection time to obtain voltage time series data and temperature time series data;

[0073] Draw a voltage and temperature change curve graph based on the voltage time series data and the temperature time series data.

[0074] Among them, the voltage time series data and the temperature time series data refer to the voltage data and temperature data sorted by time, that is, the voltage data and temperature data in the same data column are arranged in time order, reflecting the sequence of time and the volatility or trend of voltage and temperature.

[0075] In one embodiment, a timestamp is assigned to each voltage and temperature data point, indicating the moment when the data point is collected. The voltage and temperature data and their corresponding timestamps are stored as voltage time series data and temperature time series data respectively. In this embodiment, the sampling frequencies of the voltage and temperature data are the same. Select a suitable plotting tool or software (such as Excel, MATLAB, the matplotlib library of Python, etc., not specifically limited) to draw the change curve graph. Import the voltage time series data and temperature time series data into the plotting tool, and use the functions or tools provided by the plotting tool to draw the curve graphs of the voltage and temperature changing with time. Among them, the X-axis of the curve graph represents time (either the timestamp or converted to an easy-to-understand date and time format), and the Y-axis represents the voltage and temperature values respectively.

[0076] Optionally, after triggering the leakage monitoring module to perform voltage detection to obtain voltage information and triggering the temperature monitoring module to collect temperature information when it is monitored that the object under test generates voltage, it further includes:

[0077] When it is determined that the voltage information does not meet the reporting condition, determine the trigger frequencies of the leakage monitoring module and the temperature monitoring module according to the voltage information, and re-detect the voltage information and temperature information based on the trigger frequencies.

[0078] In one embodiment, there may be a situation where there is leakage, but the voltage information does not meet the reporting condition. At this time, it is necessary to continuously monitor the voltage and temperature information of the object under test. Specifically, the new trigger frequencies of the leakage monitoring module and the temperature monitoring module can be determined based on the analysis result of the voltage information. The adjustment of the trigger frequency can be dynamically adjusted according to factors such as the stability and change speed of the voltage information, and re-detect the voltage information and temperature information based on the determined trigger frequencies.

[0079] Optionally, the voltage information includes the duration of the detected voltage, and determining the trigger frequencies of the leakage monitoring module and the temperature monitoring module according to the voltage information includes:

[0080] Compare the duration with a preset duration. When the duration is less than or equal to the first preset duration, the corresponding trigger frequency is the first trigger frequency;

[0081] When the duration is greater than the first preset duration and less than or equal to the second preset duration, the corresponding trigger frequency is the second trigger frequency;

[0082] When the duration is greater than the second preset duration, the corresponding trigger frequency is the third trigger frequency, the first preset duration is less than the second preset duration, and the first trigger frequency is less than the second trigger frequency and less than the third trigger frequency.

[0083] Among them, the first preset duration represents a lower threshold of the voltage duration. The second preset duration represents a higher threshold of the voltage duration and is greater than the first preset duration. The first trigger frequency corresponds to the trigger frequency when the voltage duration is less than or equal to the first preset duration. The second trigger frequency corresponds to the trigger frequency when the voltage duration is greater than the first preset duration and less than or equal to the second preset duration. The third trigger frequency corresponds to the trigger frequency when the voltage duration is greater than the second preset duration.

[0084] In one embodiment, the obtained voltage duration is compared with the first preset duration and the second preset duration. If the duration is less than or equal to the first preset duration, it indicates that the voltage duration is short, and at this time, the trigger frequency is set to the first trigger frequency. If the duration is greater than the first preset duration and less than or equal to the second preset duration, it shows that the voltage duration is at a medium level, and the corresponding trigger frequency is adjusted to the second trigger frequency. When the duration is greater than the second preset duration, it means that the voltage lasts for a long time, and the trigger frequency is set to the third trigger frequency.

[0085] Optionally, determining the trigger frequencies of the leakage monitoring module and the temperature monitoring module according to the voltage information includes;

[0086] Comparing the average voltage value with a preset average threshold. When the average voltage value is less than or equal to the first average threshold, the corresponding trigger frequency is the first trigger frequency;

[0087] When the average voltage value is greater than the first average threshold and less than or equal to the second average threshold, the corresponding trigger frequency is the second trigger frequency;

[0088] When the average voltage value is greater than the second average threshold, the corresponding trigger frequency is the third trigger frequency. The first average threshold is less than the second average threshold, and the first trigger frequency is less than the second trigger frequency and less than the third trigger frequency.

[0089] Among them, the first average threshold represents a lower threshold of the average voltage value. The second average threshold represents a higher threshold of the average voltage value and is greater than the first average threshold.

[0090] In one embodiment, the calculated average voltage value is compared with the first average threshold and the second average threshold. If the average voltage value is less than or equal to the first average threshold, it indicates that the current voltage is at a low level, and at this time, the trigger frequency is set to the first trigger frequency. If the average voltage value is greater than the first average threshold and less than or equal to the second average threshold, it shows that the voltage is at a medium level, and the corresponding trigger frequency is adjusted to the second trigger frequency. When the average voltage value is greater than the second average threshold, it means that the voltage is high, and the trigger frequency is set to the third trigger frequency.

[0091] As can be seen from the above, it is possible to adjust the trigger frequencies of the leakage monitoring module and the temperature monitoring module according to the duration of the voltage information, so as to optimize the use of system resources while ensuring the monitoring accuracy.

[0092] S103. Report the combined information to the cloud platform through the 4G communication module based on the MQTT protocol.

[0093] Among them, the MQTT protocol refers to a communication protocol based on the publish / subscribe mode. MQTT (Message Queuing Telemetry Transport), that is, Message Queue Telemetry Transport, is a lightweight message transmission protocol. The 4G communication module refers to a wireless communication module that supports the fourth-generation mobile communication network technology (4G LTE). It has characteristics such as high-speed data transmission, low latency, and wide coverage. The cloud platform is a software and service platform built based on cloud computing technology, which can provide a reliable, flexible, and scalable way to build, deploy, and manage applications and services. It includes related services such as computing, storage, network, database, and security, and is accessed and managed through the Internet.

[0094] In one embodiment, use the MQTT client library to establish a connection with the MQTT server of the cloud platform through the 4G network. Process the combined information to be reported according to the agreed format. Through the established MQTT connection, publish the formatted combined information as a message under the MQTT topic specified by the cloud platform. The topic is like a message channel, and the cloud platform receives the data reported by the device by subscribing to the corresponding topic.

[0095] Optionally, in case of an exception, the device side should be able to automatically attempt to reconnect to the MQTT server and can appropriately record and handle the situation of failed message publishing.

[0096] Optionally, according to the sensitivity of the information and the requirements of the cloud platform, the transmitted data can be encrypted, or security protocols such as TLS / SSL can be used to ensure the security of the connection.

[0097] As described above, when the inflow current and outflow current of the object under test monitored by the leakage detection sensor are inconsistent, the leakage monitoring module is triggered to perform voltage detection to obtain voltage information, and at the same time, the temperature monitoring module is triggered to collect temperature information to obtain temperature information. The voltage information includes the average voltage. When it is determined that the voltage information meets the reporting condition, the voltage information and the temperature information are combined based on a preset combination algorithm to obtain combined information, where the reporting condition is that the duration of continuously monitoring the voltage meets a preset duration and the average voltage is greater than a preset threshold. The combined information is reported to the cloud platform through a 4G communication module based on the MQTT protocol. This technical solution can solve the problem that the overhead conductors of low-voltage lines in old and aging distribution networks are prone to leakage risks and there are serious hidden dangers of electricity-related public safety, and can realize the leakage monitoring of overhead conductors of low-voltage lines in old and aging distribution networks at low cost and efficiently.

[0098] Optionally, after combining the voltage information and the temperature information based on the preset combination algorithm to obtain combined information, the leakage risk level can also be determined according to the combined information. Figure 2 It is a flowchart of a method for determining the leakage risk level provided by an embodiment of the present application. As Figure 2 shown, the method includes:

[0099] S201. Determine the first leakage risk level according to the preset value interval corresponding to the leakage risk level into which the combined value falls.

[0100] Among them, the leakage risk level is a grading standard for evaluating the possible harm degree caused by leakage. It can usually be divided into multiple levels, such as low, medium, high levels, etc. The preset value interval of the leakage risk level is a numerical range preset for dividing different leakage risk levels.

[0101] In one embodiment, the obtained combined value is compared with the intervals of each preset leakage risk level. For example, when evaluating the influence of the combined value on the risk level, the leakage risk level is divided into three levels: low, medium, and high. If the combined value is within the low-risk interval [0, 10], then the first leakage risk level is determined to be low risk; if it is within the medium-risk interval [11, 50], it is determined to be medium risk; if it is within the high-risk interval [51, ∞), it is determined to be high risk.

[0102] S202. Calculate the similarity of the curves in the voltage and temperature change curve graph and the historical voltage and temperature change curve graph of the historical leakage information pre-stored in the database based on the dynamic time adjustment algorithm.

[0103] Among them, the dynamic time adjustment algorithm, namely Dynamic Time Warping (DTW), is an algorithm used to calculate the distance between two time series. This algorithm aligns the two time series along the optimal path, finding a "bent" path that minimizes the sum of the distances between all points on this path. Even if the lengths of the time series are different, it can find the optimal alignment path through non-linear warping to evaluate the similarity of the two sequences. Historical leakage information refers to the relevant data and information recorded when leakage events occurred in electrical equipment in the past. It includes parameters such as voltage, current, temperature changes, curves in the voltage and temperature change curve graphs, and leakage risk levels, as well as the time, location, and cause of the leakage.

[0104] In one embodiment, first, construct a distance matrix by creating an n×m matrix grid, where n and m are the number of data points of the two curves respectively. The matrix element (i,j) represents the Euclidean distance (or other distance metric) between the i-th data point of the current curve Q and the j-th data point of the historical curve C. Secondly, calculate the warping path. Using the method of dynamic programming, find a path from the lower left corner to the upper right corner in the distance matrix such that the sum of the distances of all points on the path is minimized. This path is called the warping path, which represents the optimal alignment of the current voltage and temperature change curve and the historical voltage and temperature change curve on the time axis. Along the warping path, calculate the cumulative distance of each point, that is, the sum of the distances of all points before reaching this point. The cumulative distance reflects the overall similarity between the two curves, and the smaller the distance, the higher the similarity. The cumulative distance corresponding to the end point of the warping path is the final distance between the two curves. The similarity can be calculated by subtracting the ratio of the final distance to the maximum possible distance from 1.

[0105] S203. In the case where the similarity is greater than the preset similarity threshold, determine the historical leakage risk level associated with the historical voltage and temperature change curve graph as the second leakage risk level.

[0106] Among them, the preset similarity threshold is a value set according to experience or actual requirements, used to judge whether the similarity between the currently monitored curve graph and the historical curve graph is high enough to trigger further leakage risk assessment.

[0107] In one embodiment, compare the calculated similarity with the preset similarity threshold. If the similarity value is greater than or equal to the preset similarity threshold, obtain the historical leakage risk level associated with this curve graph from the found historical records, and determine the historical leakage risk level associated with this historical curve graph as the second leakage risk level.

[0108] S204. When the first leakage risk level is the same as the second leakage risk level, determine either the first leakage risk level or the second leakage risk level as the leakage risk level.

[0109] In one embodiment, compare the first leakage risk level with the second leakage risk level to determine whether they are the same. If they are the same, determine it as the final leakage risk level. For example, if the first leakage risk level is low and the second leakage risk level is low, then the final leakage risk level is low.

[0110] S205. When the first leakage risk level is different from the second leakage risk level, determine the higher one of the first leakage risk level and the second leakage risk level as the leakage risk level.

[0111] In one embodiment, since leakage may cause serious safety threats, it is necessary to pay attention to leakage. Therefore, compare the first leakage risk level with the second leakage risk level to determine whether they are the same. If they are different, determine the higher leakage risk level as the final leakage risk level. For example, if the first leakage risk level is high and the second leakage risk level is medium, then the final leakage risk level is high.

[0112] As can be seen from the above, determine the first leakage risk level according to the preset value range corresponding to the leakage risk level into which the combined value falls; calculate the similarity between the curves in the voltage and temperature change curve graph and the historical voltage and temperature change curve graph of the historical leakage information pre-stored in the database based on the dynamic time adjustment algorithm; when the similarity is greater than the preset similarity threshold, determine the historical leakage risk level associated with the historical voltage and temperature change curve graph as the second leakage risk level; when the first leakage risk level is the same as the second leakage risk level, determine either the first leakage risk level or the second leakage risk level as the leakage risk level; when the first leakage risk level is different from the second leakage risk level, determine the higher one of the first leakage risk level and the second leakage risk level as the leakage risk level. By determining the leakage risk level, preventive measures and response mechanisms can be triggered in a timely manner to reduce the occurrence probability of leakage events. By analyzing and evaluating historical data and evaluation results, the algorithm and parameter settings can be continuously optimized to improve the accuracy and efficiency of leakage risk assessment.

[0113] Figure 3 It is a schematic structural diagram of a leakage prevention monitoring device provided by an embodiment of the present application. As Figure 3 shown, the device includes:

[0114] The triggering module 301 is configured to trigger the leakage monitoring module to perform voltage detection to obtain voltage information and trigger the temperature monitoring module to collect temperature information when it is detected based on the leakage detection sensor that the inflow current and the outflow current of the object under test are inconsistent. The voltage information includes the average voltage;

[0115] The combined information acquisition module 302 is configured to, when it is determined that the voltage information meets the reporting condition, combine the voltage information and the temperature information based on a preset combination algorithm to obtain combined information, where the reporting condition is that the duration of continuously monitoring the voltage meets a preset duration and the average voltage is greater than a preset threshold;

[0116] The reporting module 303 is configured to report the combined information to the cloud platform through the 4G communication module based on the MQTT protocol.

[0117] The anti-leakage monitoring device provided by the embodiment of the present application corresponds to the anti-leakage monitoring method provided by the above embodiment and has the same beneficial effects. To avoid repetition, it will not be elaborated here.

[0118] As Figure 4 shown, the embodiment of the present application further provides a street code sheath, including a processor 401, a memory 402, a program or instruction stored on the memory 402 and executable on the processor 401. When the program or instruction is executed by the processor 401, it implements each process of the above embodiments of the street code sheath and the anti-leakage monitoring device and can achieve the same technical effects. To avoid repetition, it will not be elaborated here.

[0119] The embodiment of the present application further provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, it implements each process of the above embodiments of the street code sheath and the anti-leakage monitoring device and can achieve the same technical effects. To avoid repetition, it will not be elaborated here.

[0120] Wherein, the processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes a computer-readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disc, etc.

[0121] It should be noted that in this text, the term "including", "comprising" or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, method, article or device comprising a series of elements not only includes those elements but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the phrase "including a..." does not exclude the presence of additional identical elements in the process, method, article or device that includes such element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, but may also include performing functions in a substantially simultaneous manner or in a reverse order according to the functions involved. For example, the described methods may be performed in an order different from that described, and various steps may be added, omitted, or combined. Additionally, the features described with reference to certain examples may be combined in other examples.

[0122] Through the description of the above embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus a necessary general hardware system. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, can be embodied in the form of a computer software product. The computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions for causing a terminal (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present application.

[0123] The embodiments of the present application have been described above in conjunction with the accompanying drawings. However, the present application is not limited to the above specific embodiments. The above specific embodiments are merely illustrative and not restrictive. Under the inspiration of the present application, those of ordinary skill in the art can also make many forms without departing from the purpose of the present application and the scope protected by the claims, and all of them fall within the protection scope of the present application.

[0124] The above is only the preferred embodiment of the present application and the technical principles applied. The present application is not limited to the specific embodiments described herein. Various obvious changes, re-adjustments and substitutions that can be made by those skilled in the art will not depart from the protection scope of the present application. Therefore, although the present application has been described in more detail through the above embodiments, the present application is not limited to the above embodiments. Without departing from the concept of the present application, it may also include more other equivalent embodiments, and the scope of the present application is determined by the scope of the claims.

Claims

1. A method for monitoring leakage prevention, characterized in that: The method comprises: When the leakage detection sensor detects that the inflow current and outflow current of the object under test are inconsistent, the leakage monitoring module is triggered to perform voltage detection to obtain voltage information, and the temperature monitoring module is triggered to perform temperature acquisition to obtain temperature information, wherein the voltage information includes the voltage average value; When it is determined that the voltage information meets the reporting condition, the voltage information is combined with the temperature information based on a preset combination algorithm to obtain combined information, wherein the reporting condition is that the duration of continuous monitoring of the voltage meets a preset duration and the voltage average value is greater than a preset threshold; The combined information is reported to the cloud platform through the 4G communication module based on the MQTT protocol.

2. The method for preventing leakage current according to claim 1, characterized in that: The voltage information includes a voltage value and a voltage detection time, the temperature information includes a temperature value and a temperature detection time, and the voltage information and the temperature information are combined based on a preset combination algorithm to obtain the combined information, including: Combining the voltage value and the temperature value based on a preset combination algorithm to obtain a combined value; The voltage value, voltage detection time, temperature value and temperature detection time are combined based on a preset combination algorithm to obtain a voltage and temperature change curve graph.

3. The method for preventing leakage current according to claim 2, characterized in that: The combining the voltage value and the temperature value based on a preset combination algorithm to obtain a combined value includes: Assigning weights to the voltage information and the temperature information, and calculating the voltage value and the temperature value based on a weighted average formula to obtain the combined value; Weighted average formula: Among them, C represents the combined value, w V represents the voltage information weight, w T Represents the temperature information weight, V i and T i Respectively represent the i-th voltage value and temperature value, and n represents the number of the voltage values ​​and the temperature values. The voltage value, voltage detection time, temperature value and temperature detection time are combined based on a preset combination algorithm to obtain a voltage and temperature change curve diagram, including: Recording the voltage value and the temperature value according to the voltage detection time and the temperature detection time to obtain voltage time series data and temperature time series data; A voltage and temperature variation curve graph is drawn based on the voltage time series data and the temperature time series data.

4. The method for preventing leakage current monitoring according to claim 2, characterized in that: After combining the voltage information and the temperature information based on a preset combination algorithm to obtain the combined information, the method further includes: Determining a first leakage risk level according to a preset value interval corresponding to the leakage risk level into which the combined value falls; Calculate the similarity between the voltage and temperature change curve diagram and the curve in the historical voltage and temperature change curve diagram in the historical leakage information pre-stored in the database based on a dynamic time adjustment algorithm; When the similarity is greater than a preset similarity threshold, determining the historical leakage risk level associated with the historical voltage and temperature change curve diagram as a second leakage risk level; When the first leakage risk level and the second leakage risk level are consistent, determining the first leakage risk level or the second leakage risk level as the leakage risk level; When the first leakage risk level and the second leakage risk level are inconsistent, a higher level between the first leakage risk level and the second leakage risk level is determined as the leakage risk level.

5. The method for preventing leakage current monitoring according to claim 1, characterized in that: In the case where it is detected that the object to be measured generates voltage, after the leakage monitoring module is triggered to perform voltage detection to obtain voltage information, and the temperature monitoring module is triggered to perform temperature acquisition to obtain temperature information, the method further includes: When it is determined that the voltage information does not meet the reporting condition, the triggering frequency of the leakage monitoring module and the temperature monitoring module is determined according to the voltage information, and the voltage information and the temperature information are re-detected based on the triggering frequency.

6. The method for preventing leakage monitoring according to claim 5, characterized in that: The voltage information includes the duration of the voltage detection, and the triggering frequency of the leakage monitoring module and the temperature monitoring module is determined according to the voltage information, including: The duration is compared with a preset duration, and when the duration is less than or equal to a first preset duration, the corresponding trigger frequency is a first trigger frequency; When the duration is greater than the first preset duration and less than or equal to the second preset duration, the corresponding trigger frequency is the second trigger frequency; When the duration is greater than the second preset duration, the corresponding trigger frequency is the third trigger frequency, the first preset duration is less than the second preset duration, and the first trigger frequency is less than the second trigger frequency and less than the third trigger frequency.

7. The method for preventing leakage current monitoring according to claim 5, characterized in that: Determining the triggering frequency of the leakage monitoring module and the temperature monitoring module according to the voltage information includes: The voltage average value is compared with a preset average threshold value, and when the voltage average value is less than or equal to a first average threshold value, the corresponding trigger frequency is a first trigger frequency; When the voltage average value is greater than the first average threshold value and less than or equal to the second average threshold value, the corresponding trigger frequency is the second trigger frequency; When the voltage average value is greater than the second average threshold, the corresponding trigger frequency is the third trigger frequency, the first average threshold is less than the second average threshold, and the first trigger frequency is less than the second trigger frequency and less than the third trigger frequency.

8. A leakage protection monitoring device, characterized in that: The device comprises: A trigger module, for triggering the leakage monitoring module to perform voltage detection to obtain voltage information, and triggering the temperature monitoring module to perform temperature acquisition to obtain temperature information when the leakage detection sensor detects that the inflow current and outflow current of the object under test are inconsistent, wherein the voltage information includes an average voltage value; A combined information acquisition module, configured to combine the voltage information with the temperature information based on a preset combination algorithm to obtain combined information when it is determined that the voltage information meets a reporting condition, wherein the reporting condition is that the duration of continuous voltage monitoring meets a preset duration and the voltage average value is greater than a preset threshold; The reporting module is used to report the combined information to the cloud platform through the 4G communication module based on the MQTT protocol.

9. A street code cover, comprising: one or more processors; A storage device, used to store one or more programs, when the one or more programs are executed by the one or more processors, enables the one or more processors to implement the leakage protection monitoring method as described in any one of claims 1-7.

10. A storage medium storing computer executable instructions, wherein the computer executable instructions are used to execute the leakage prevention monitoring method according to any one of claims 1 to 7 when executed by a computer processor.

Images