Active resistant noise elimination supervision method and system for expressway

Abstract

The invention discloses an active resistant noise elimination supervision method and system for an expressway, and belongs to the technical field of dynamic supervision. Uniformly dividing the expressway into a plurality of route sections, and arranging noise sensors; acquiring operation state data of the silencing equipment in the route segment, and constructing a periodic data acquisition sequence; constructing a noise fluctuation coordinate system and a noise fluctuation curve of the route segment, and calculating the slope of the noise fluctuation curve; a slope threshold value is preset, if noise abnormal fluctuation exists in the route section, an active resistant noise elimination index of noise elimination equipment in the route section is calculated, an index threshold value interval is preset, an active resistant noise elimination index of the noise elimination equipment in the route section at a next data acquisition period node is predicted, and noise elimination is performed based on the index threshold value interval. According to the method, the noise abnormities are analyzed, and unified early warning is performed on the noise abnormities in operation at the next data acquisition period node, so that the operation efficiency of the highway noise abnormities is improved, the noise pollution risk is reduced, and the regulation and control initiative of the system is enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of dynamic supervision, and specifically provides an active resistance noise reduction supervision method and system for highways. Background Technique

[0002] In recent years, with the development of intelligent perception and automation technologies, active noise reduction devices have gradually entered the field of traffic engineering applications. They have the ability to dynamically adjust the power response according to noise changes and have become an important supplement to traditional passive noise reduction means. However, most existing highway noise control systems are mainly in the "fixed response" mode and lack a refined supervision mechanism for the actual operating conditions of the equipment. As a result, when problems such as response lag, ineffective adjustment, or abnormal long-term operation occur in the noise reduction device, it is often difficult to detect and intervene in a timely manner, which restricts the control efficiency and operation and maintenance economy of the active noise reduction system.

[0003] The current highway noise supervision methods mainly focus on the spatial distribution evaluation of noise intensity and the comparative analysis of long-term average values, lacking real-time quantification indicators for "dynamic response ability". Some existing studies have attempted to carry out auxiliary analysis by combining equipment operation parameters such as current and voltage, but most still remain at the static diagnosis level and are difficult to accurately describe the dynamic adaptation ability of the noise reduction equipment under actual noise fluctuations. In addition, existing systems mostly rely on manual regular inspections and empirical judgments, unable to form a timely warning mechanism at the initial stage of noise abnormalities and also difficult to provide predictable data support for the equipment regulation in the next cycle. Summary of the Invention

[0004] The purpose of the present invention is to provide an active resistance noise reduction supervision method and system for highways to solve the problems raised in the above background technique.

[0005] To solve the above technical problems, the present invention provides the following technical solutions: An active resistance noise reduction supervision method for expressways, the method comprising the following steps: Step S1: evenly divide the expressway into a plurality of route segments, and deploy noise sensors within the route segments; obtain the operation status data of the noise reduction devices within the route segments, and construct a periodic data acquisition sequence; Step S2: according to the noise data, construct a noise fluctuation coordinate system and a noise fluctuation curve for the route segment at all data acquisition cycle nodes, and calculate the slope of the noise fluctuation curve between two adjacent coordinate points; Step S3: preset a slope threshold, if there is abnormal noise fluctuation between two adjacent data acquisition cycle nodes of the route segment, then calculate the active resistance noise reduction index of the noise reduction devices within the route segment, and preset an index threshold range; Step S4: based on the active resistance noise reduction index, predict the active resistance noise reduction index of the noise reduction devices within the route segment at the next data acquisition cycle node, and based on the index threshold range, analyze and give a unified warning to the noise reduction devices with abnormal operation at the next data acquisition cycle node.

[0006] As a preferred solution of the active resistance noise reduction supervision method for expressways described in the present invention, retrieve the route map of the expressway from the official website of the expressway, based on the route map, evenly divide the expressway into a plurality of route segments, and deploy noise sensors within the route segments, wherein, one route segment corresponds to one noise sensor; obtain the operation status data of the noise reduction devices within the route segment, the operation status data including current data and voltage data; Construct a periodic data acquisition sequence, denoted as , wherein, represents the nth data acquisition cycle node, and N represents the total number of data acquisition cycle nodes; obtain the noise data of the ith route segment and the current data and voltage data of the ath noise reduction device within the ith route segment at the data acquisition cycle node , and denote them as , and .

[0007] As a preferred solution of the active resistance noise reduction supervision method for expressways described in the present invention, based on the noise data of the ith route segment at the data acquisition cycle node , construct a noise fluctuation coordinate system for the ith route segment at all data acquisition cycle nodes, the abscissa of the noise fluctuation coordinate system being N sequentially arranged data acquisition cycle nodes, and the ordinate of the noise fluctuation coordinate system being the noise data corresponding to the N sequentially arranged data acquisition cycle nodes; Sequentially connect all the coordinate points in the noise fluctuation coordinate system to construct a noise fluctuation curve, and calculate the slope of the noise fluctuation curve between two adjacent coordinate points, the calculation formula being: , wherein, represents the slope of the noise fluctuation curve of the i-th route segment between the data acquisition cycle nodes and the data acquisition cycle node and represents the noise data within the i-th route segment at the data acquisition cycle node .

[0008] As a preferred solution of the active resistance noise reduction supervision method for expressways described in the present invention, a slope threshold is preset. If the slope of the noise fluctuation curve of the i-th route segment between the data acquisition cycle nodes and the data acquisition cycle node is greater than or equal to the slope threshold, it is determined that there is abnormal noise fluctuation in the i-th route segment between the data acquisition cycle nodes and the data acquisition cycle node and the data acquisition cycle node . Then, calculate the active resistance noise reduction index of the noise reduction equipment within the i-th route segment between the data acquisition cycle nodes and the data acquisition cycle node . The calculation formula is as follows: ; ; wherein, represents the power change amount of the a-th noise reduction equipment within the i-th route segment between the data acquisition cycle nodes and the data acquisition cycle node , represents the current data of the a-th noise reduction equipment within the i-th route segment at the data acquisition cycle node , represents the voltage data of the a-th noise reduction equipment within the i-th route segment at the data acquisition cycle node , represents the active resistance noise reduction index of the a-th noise reduction equipment within the i-th route segment between the data acquisition cycle nodes and the data acquisition cycle node ; It should be noted that the numerator represents the power change amount of the noise reduction equipment between two cycles, and the unit is watt. The denominator represents the change amount of the noise intensity, and the unit is usually decibel. Therefore, the unit of the active resistance noise reduction index is , is a unit response efficiency index, which represents how much power the device changes in response to a unit dB change in noise. That is to say, it reflects the strength of the device's response ability. Namely, the larger the value, the stronger the device's response to noise fluctuations; the smaller the value, the weaker the device's response, and there may be problems such as hysteresis or low efficiency.

[0009] Preset the threshold interval of the active resistance noise reduction index. If the active resistance noise reduction index of the a-th noise reduction device in the i-th route segment between the data acquisition cycle node and the data acquisition cycle node is not within the threshold interval of the active resistance noise reduction index, it is determined that the a-th noise reduction device in the i-th route segment has an abnormal operation between the data acquisition cycle node and the data acquisition cycle node and the data acquisition cycle node .

[0010] It should be noted that by setting the slope threshold of the noise fluctuation curve, when abnormal noise fluctuations are detected, the active resistance noise reduction index is further introduced to evaluate the device's response ability, realizing the leap from "event perception" to "device behavior quantification". This index integrates the relationship between the power change of the noise reduction device and the noise change, forming a unit response efficiency metric, which is a direct reflection of the "working intensity" and "environmental stimulus" of the noise reduction device, and can accurately judge whether the noise reduction device makes a timely and effective response to noise fluctuations, thereby identifying potential hysteresis, overload or ineffective operation situations.

[0011] As a preferred solution of the active resistance noise reduction supervision method for highways described in the present invention, predict the active resistance noise reduction index of the a-th noise reduction device in the i-th route segment between the data acquisition cycle node and the data acquisition cycle node . The calculation formula is as follows: ; ; Among them, represents the average value of the change in the active resistance noise reduction index of the a-th noise reduction device in the i-th route segment, represents the active resistance noise reduction index of the a-th noise reduction device in the i-th route segment between the data acquisition cycle node and the data acquisition cycle node , represents the predicted active resistance noise reduction index of the a-th noise reduction device in the i-th route segment between the data acquisition cycle node and the data acquisition cycle node , represents the active resistance noise reduction index of the a-th noise reduction device in the i-th route segment at the data acquisition cycle node to the data acquisition cycle node the active resistance noise reduction index between; If the a-th noise reduction device in the predicted i-th route segment at the data acquisition cycle node to the data acquisition cycle node the active resistance noise reduction index between does not exist within the threshold interval of the active resistance noise reduction index, it is predicted that the a-th noise reduction device in the i-th route segment will have an abnormal operation at the data acquisition cycle node to the data acquisition cycle node there will be an abnormal operation between; Let i = i + 1, traverse all route segments in the highway, obtain all noise reduction devices predicted to have abnormal operations in the highway, and send a warning maintenance notice to relevant staff.

[0012] An active resistance noise reduction supervision system for highways, this system includes: a data acquisition module, a coordinate system construction and slope calculation module, an index calculation module, and a prediction and warning output module; The data acquisition module: evenly divide the highway into several route segments, and deploy noise sensors within the route segments; obtain the operation status data of the noise reduction devices within the route segments, and construct a periodic data acquisition sequence; The coordinate system construction and slope calculation module: construct a noise fluctuation coordinate system and a noise fluctuation curve of the route segment at all data acquisition cycle nodes according to the noise data, and calculate the slope of the noise fluctuation curve between adjacent two coordinate points; The index calculation module: preset a slope threshold, if there is abnormal noise fluctuation between adjacent two data acquisition cycle nodes of the route segment, calculate the active resistance noise reduction index of the noise reduction devices within the route segment, and preset an index threshold interval; The prediction and warning output module: based on the active resistance noise reduction index, predict the active resistance noise reduction index of the noise reduction devices within the route segment at the next data acquisition cycle node, and based on the index threshold interval, analyze and uniformly warn the noise reduction devices with abnormal operations at the next data acquisition cycle node.

[0013] Furthermore, the data acquisition module includes a data acquisition unit; The data acquisition unit: retrieve the route map of the highway from the official website of the highway, based on the route map, evenly divide the highway into several route segments, and deploy noise sensors within the route segments, where one route segment corresponds to one noise sensor; obtain the operation status data of the noise reduction devices within the route segment, the operation status data includes current data and voltage data; construct a periodic data acquisition sequence.

[0014] Further, the coordinate system construction and slope calculation module includes a coordinate system construction unit and a slope calculation unit; The coordinate system construction unit: Based on the noise data within the route segment at the data acquisition cycle nodes, construct a noise fluctuation coordinate system for the route segment at all data acquisition cycle nodes. The abscissa of the noise fluctuation coordinate system is the sequentially arranged data acquisition cycle nodes, and the ordinate of the noise fluctuation coordinate system is the noise data corresponding to the sequentially arranged data acquisition cycle nodes; The slope calculation unit: Sequentially connect all the coordinate points in the noise fluctuation coordinate system to construct a noise fluctuation curve, and calculate the slope of the noise fluctuation curve between adjacent two coordinate points.

[0015] Further, the index calculation module includes an index calculation unit; The index calculation unit: Preset a slope threshold. If the slope of the noise fluctuation curve between adjacent data acquisition cycle nodes of the route segment is greater than or equal to the slope threshold, it is determined that there is an abnormal noise fluctuation between adjacent data acquisition cycle nodes of the route segment, and then calculate the active resistance noise reduction index of the noise reduction equipment within the route segment between adjacent data acquisition cycle nodes; Preset an active resistance noise reduction index threshold interval. If the active resistance noise reduction index is not within the active resistance noise reduction index threshold interval, it is determined that there is an abnormal operation of the noise reduction equipment within the route segment between adjacent data acquisition cycle nodes.

[0016] Further, the prediction and early warning output module includes a prediction unit and an early warning output unit; The prediction unit: Predict the active resistance noise reduction index of the noise reduction equipment within the route segment at the next data acquisition cycle node; The early warning output unit: If the predicted active resistance noise reduction index is not within the active resistance noise reduction index threshold interval, it is predicted that there will be an abnormal operation of the noise reduction equipment within the route segment at the next data acquisition cycle node; Traverse all the route segments within the highway to obtain all the noise reduction equipment predicted to have abnormal operation within the highway, and send an early warning maintenance notice to the relevant staff.

[0017] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: In an active resistance noise reduction supervision method and system for highways provided by the present invention, by dividing the highway into several route segments and deploying noise sensors, and simultaneously collecting the current and voltage of the noise reduction equipment, real-time perception of the acoustic environment and equipment status is achieved; further, by constructing a noise fluctuation coordinate system and analyzing its curve slope, sudden noise events are effectively identified; an active resistance noise reduction index is introduced, combining noise fluctuation with power change to accurately evaluate the response ability of the equipment and identify potential operation anomalies; finally, by predicting the change trend of this index and setting a threshold to achieve early warning, assisting equipment scheduling and maintenance, ultimately achieving the beneficial effects of improving the operation efficiency of highway noise reduction equipment, reducing the risk of noise pollution, and enhancing the initiative of system regulation. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. They are used together with the embodiments of the present invention to explain the present invention, and do not constitute a limitation to the present invention.

[0019] Figure 1 is a schematic diagram of the steps of an active resistance noise reduction supervision method for highways according to the present invention; Figure 2 is a schematic diagram of the structure of an active resistance noise reduction supervision system for highways according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0021] Please refer to Figure 1 , in the first embodiment: An active resistance noise reduction supervision method for highways is provided, and the method includes the following steps: Step S1: Evenly divide the highway into several route segments, and deploy noise sensors within the route segments; obtain the operation status data of the noise reduction equipment within the route segments, and construct a periodic data collection sequence.

[0022] Specifically, retrieve the route map of the highway from the official website of the highway. Based on the route map, evenly divide the highway into several route segments, and deploy noise sensors within the route segments, where one route segment corresponds to one noise sensor; obtain the operation status data of the noise reduction equipment within the route segments, and the operation status data includes current data and voltage data; Further, construct a periodic data acquisition sequence, denoted as , where represents the nth data acquisition cycle node, and N represents the total number of data acquisition cycle nodes; obtain the noise data within the ith route segment and the current data and voltage data of the ath noise elimination device within the ith route segment at the data acquisition cycle node , and denote them as , and respectively.

[0023] Step S2: According to the noise data, construct a noise fluctuation coordinate system and a noise fluctuation curve for the route segment at all data acquisition cycle nodes, and calculate the slope of the noise fluctuation curve between adjacent two coordinate points.

[0024] Specifically, based on the noise data within the ith route segment at the data acquisition cycle node , construct a noise fluctuation coordinate system for the ith route segment at all data acquisition cycle nodes. The abscissa of the noise fluctuation coordinate system is N data acquisition cycle nodes arranged in sequence, and the ordinate of the noise fluctuation coordinate system is the noise data corresponding to the N data acquisition cycle nodes arranged in sequence; Further, connect all the coordinate points in the noise fluctuation coordinate system in sequence to construct a noise fluctuation curve, and calculate the slope of the noise fluctuation curve between adjacent two coordinate points. The calculation formula is: , where represents the slope of the noise fluctuation curve of the ith route segment between the data acquisition cycle node and the data acquisition cycle node , represents the noise data within the ith route segment at the data acquisition cycle node .

[0025] Step S3: Preset a slope threshold. If there is abnormal noise fluctuation between adjacent two data acquisition cycle nodes of the route segment, then calculate the active resistance noise elimination index of the noise elimination device within the route segment, and preset an index threshold range.

[0026] Specifically, preset a slope threshold. If the slope of the noise fluctuation curve of the ith route segment between the data acquisition cycle node and the data acquisition cycle node is greater than or equal to the slope threshold, then determine that there is abnormal noise fluctuation of the ith route segment between the data acquisition cycle node and the data acquisition cycle node , and calculate the noise elimination device within the ith route segment at the data acquisition cycle node To the data acquisition cycle node The active resistance noise reduction index between them is calculated as follows: ; ; Wherein, represents the power change of the a-th noise reduction device in the i-th route segment between the data acquisition cycle node and the data acquisition cycle node ; represents the current data of the a-th noise reduction device in the i-th route segment at the data acquisition cycle node ; represents the voltage data of the a-th noise reduction device in the i-th route segment at the data acquisition cycle node ; represents the active resistance noise reduction index of the a-th noise reduction device in the i-th route segment between the data acquisition cycle node and the data acquisition cycle node ; It should be noted that the numerator represents the power change of the noise reduction device between two cycles, and the unit is watt. The denominator represents the change in noise intensity, and the unit is usually decibel. Therefore, the unit of the active resistance noise reduction index is , which is a unit response efficiency index, indicating how much power the device changes in response to a unit dB change in noise. That is to say, it reflects the strength of the device's response ability. That is, the larger the value, the stronger the device's response to noise fluctuations, and the smaller the value, the weaker the device's response, and there may be problems such as hysteresis or low efficiency. By presetting the threshold range of the active resistance noise reduction index, it is possible to quickly determine whether the device is operating normally. When the index value is lower than the lower threshold, it indicates that the device responds slowly and cannot adjust the power in time according to the noise change, resulting in poor noise reduction effect; if it is higher than the upper threshold, it may mean that the device over-responds, causing energy waste. It helps to maintain and optimize the device targeted, and improve the overall operating efficiency of the noise reduction device.

[0027] Furthermore, preset the threshold range of the active resistance noise reduction index. If the active resistance noise reduction index of the a-th noise reduction device in the i-th route segment between the data acquisition cycle node and the data acquisition cycle node does not exist within the threshold range of the active resistance noise reduction index, it is determined that the a-th noise reduction device in the i-th route segment has an abnormal operation between the data acquisition cycle node and the data acquisition cycle node .

[0028] Step S4: Based on the active resistance noise reduction index, predict the active resistance noise reduction index of the noise reduction device in the route segment at the next data collection cycle node, and based on the index threshold interval, analyze and issue a unified warning for the noise reduction devices with abnormal operation at the next data collection cycle node.

[0029] Specifically, predict the active resistance noise reduction index of the ath noise reduction device in the ith route segment from the data collection cycle node to the data collection cycle node The calculation formula is as follows: ; ; Wherein, represents the average value of the change in the active resistance noise reduction index of the ath noise reduction device in the ith route segment, represents the active resistance noise reduction index of the ath noise reduction device in the ith route segment from the data collection cycle node to the data collection cycle node between, represents the predicted active resistance noise reduction index of the ath noise reduction device in the ith route segment from the data collection cycle node to the data collection cycle node between, represents the active resistance noise reduction index of the ath noise reduction device in the ith route segment from the data collection cycle node to the data collection cycle node between; In the present invention, by accumulating and averaging the differences in the active resistance noise reduction indices of multiple adjacent cycles, the influence of short-term fluctuations can be effectively eliminated, and the long-term change trend of the indices can be shown. During the long-term operation of the highway, the performance of the noise reduction device may gradually decline due to factors such as component aging and environmental erosion. By observing the average value of the index change amount, the slow change of the device performance can be detected in advance, providing data support for preventive maintenance. When predicting the active resistance noise reduction index of the noise reduction device in the next cycle, this average value is used as an important reference, enabling the prediction model to fully consider the historical change situation of the device performance. Compared with predicting only relying on the data of the current cycle, combining the average value of the change amount can more accurately reflect the future state of the device, reduce the prediction error, improve the reliability of the warning, and gain more time for taking maintenance measures in a timely manner.

[0030] Furthermore, if the predicted active resistance noise reduction index of the ath noise reduction device in the ith route segment from the data collection cycle node to the data collection cycle node between If it does not exist within the active noise reduction index threshold range, it is predicted that the a-th noise reduction device in the i-th route segment will have an abnormal operation between the data acquisition cycle node and the data acquisition cycle node . Furthermore, let i = i + 1, traverse all route segments within the expressway, obtain all noise reduction devices predicted to have abnormal operations within the expressway, and send a warning and maintenance notice to the relevant staff.

[0031] Please refer to Figure 2 , in the second embodiment: A proactive resistance noise reduction supervision system for expressways is provided. The system includes: a data acquisition module, a coordinate system construction and slope calculation module, an index calculation module, and a prediction and warning output module; The data acquisition module: evenly divides the expressway into several route segments, and arranges noise sensors within the route segments; obtains the operation status data of the noise reduction devices within the route segments, and constructs a periodic data acquisition sequence; The coordinate system construction and slope calculation module: constructs a noise fluctuation coordinate system and a noise fluctuation curve of the route segment at all data acquisition cycle nodes according to the noise data, and calculates the slope of the noise fluctuation curve between two adjacent coordinate points; The index calculation module: preset a slope threshold. If there is abnormal noise fluctuation between two adjacent data acquisition cycle nodes of the route segment, calculate the active resistance noise reduction index of the noise reduction devices within the route segment, and preset an index threshold range; The prediction and warning output module: based on the active resistance noise reduction index, predicts the active resistance noise reduction index of the noise reduction devices within the route segment at the next data acquisition cycle node, and based on the index threshold range, analyzes and uniformly warns the noise reduction devices with abnormal operations at the next data acquisition cycle node.

[0032] Furthermore, the data acquisition module includes a data acquisition unit; The data acquisition unit: retrieves the route map of the expressway from the official website of the expressway. Based on the route map, evenly divides the expressway into several route segments, and arranges noise sensors within the route segments, where one route segment corresponds to one noise sensor; obtains the operation status data of the noise reduction devices within the route segment, and the operation status data includes current data and voltage data; constructs a periodic data acquisition sequence.

[0033] Furthermore, the coordinate system construction and slope calculation module includes a coordinate system construction unit and a slope calculation unit; The coordinate system construction unit: Based on the noise data within the route segment at the data acquisition cycle nodes, construct a noise fluctuation coordinate system for the route segment at all data acquisition cycle nodes. The abscissa of the noise fluctuation coordinate system is the sequentially arranged data acquisition cycle nodes, and the ordinate of the noise fluctuation coordinate system is the noise data corresponding to the sequentially arranged data acquisition cycle nodes; The slope calculation unit: Sequentially connect all the coordinate points in the noise fluctuation coordinate system to construct a noise fluctuation curve, and calculate the slope of the noise fluctuation curve between adjacent two coordinate points.

[0034] Furthermore, the index calculation module includes an index calculation unit; The index calculation unit: Preset a slope threshold. If the slope of the noise fluctuation curve of the route segment between adjacent data acquisition cycle nodes is greater than or equal to the slope threshold, it is determined that there is abnormal noise fluctuation of the route segment between adjacent data acquisition cycle nodes, and then calculate the active resistance noise reduction index of the noise reduction equipment within the route segment between adjacent data acquisition cycle nodes; Preset an active resistance noise reduction index threshold range. If the active resistance noise reduction index is not within the active resistance noise reduction index threshold range, it is determined that there is abnormal operation of the noise reduction equipment within the route segment between adjacent data acquisition cycle nodes.

[0035] Furthermore, the prediction and early warning output module includes a prediction unit and an early warning output unit; The prediction unit: Predict the active resistance noise reduction index of the noise reduction equipment within the route segment at the next data acquisition cycle node; The early warning output unit: If the predicted active resistance noise reduction index is not within the active resistance noise reduction index threshold range, it is predicted that there will be abnormal operation of the noise reduction equipment within the route segment at the next data acquisition cycle node; Traverse all the route segments within the expressway to obtain all the noise reduction equipment predicted to have abnormal operation within the expressway, and send a warning and maintenance notice to the relevant staff.

[0036] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device.

[0037] Finally, it should be noted that the above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. An active resistance noise reduction supervision method for highways, characterized in that: The method comprises the following steps: Step S1: evenly divide the expressway into several route sections, and deploy noise sensors in the route sections; obtain the operating status data of the silencing equipment in the route sections, and construct a periodic data collection sequence; Step S2: constructing a noise fluctuation coordinate system and a noise fluctuation curve of the route segment at all data collection cycle nodes according to the noise data, and calculating the slope of the noise fluctuation curve between two adjacent coordinate points; Step S3: Preset a slope threshold value. If there is abnormal noise fluctuation between two adjacent data collection cycle nodes in the route segment, calculate the active resistance noise reduction index of the noise reduction equipment in the route segment and preset the index threshold interval; Step S4: Based on the active resistance silencer index, predict the active resistance silencer index of the silencer equipment in the route section at the next data collection cycle node, and based on the index threshold range, analyze and issue a unified warning for the silencer equipment with abnormal operation at the next data collection cycle node.

2. The active resistance noise reduction supervision method for highways according to claim 1 is characterized in that: The specific implementation process of step S1 includes: Retrieving a route map of the expressway from an official website of the expressway, dividing the expressway evenly into a plurality of route segments based on the route map, and deploying noise sensors in the route segments, wherein one route segment corresponds to one noise sensor; acquiring operating status data of the silencing equipment in the route segment, wherein the operating status data includes current data and voltage data; Construct a periodic data collection sequence, denoted as ,in, Indicates the nth data collection cycle node, N indicates the total number of data collection cycle nodes; Get the data collection cycle node The noise data in the i-th route segment and the current data and voltage data of the a-th silencing device in the i-th route segment are recorded as , and .

3. The active resistance noise reduction supervision method for highways according to claim 2 is characterized in that: The specific implementation process of step S2 includes: Based on data collection cycle node Noise data in the next i-th route segment , construct a noise fluctuation coordinate system of the i-th route segment under all data collection cycle nodes, wherein the abscissa of the noise fluctuation coordinate system is the N data collection cycle nodes arranged in sequence, and the ordinate of the noise fluctuation coordinate system is the noise data corresponding to the N data collection cycle nodes arranged in sequence; All coordinate points in the noise fluctuation coordinate system are sequentially connected to construct a noise fluctuation curve, and the slope of the noise fluctuation curve between two adjacent coordinate points is calculated. The calculation formula is: ,in, Indicates the node of the i-th route segment at the data collection cycle To the data collection cycle node The slope of the noise fluctuation curve between Indicates the data collection cycle node The noise data within the next i-th route segment.

4. The active resistance noise reduction supervision method for highways according to claim 3 is characterized in that: The specific implementation process of step S3 includes: Preset slope threshold, if the i-th route segment is at the data collection cycle node To the data collection cycle node The slope of the noise fluctuation curve between If the slope is greater than or equal to the slope threshold, it is determined that the i-th route segment is at the data collection cycle node To the data collection cycle node If there is abnormal noise fluctuation between the two segments, the noise reduction equipment in the i-th route segment is calculated at the data collection cycle node To the data collection cycle node The active resistance noise reduction index between is calculated as follows: ； ； in, Indicates the a-th noise reduction device in the i-th route segment at the data collection cycle node To the data collection cycle node The power variation between Indicates the data collection cycle node The current data of the ath silencer in the next ith route segment, Indicates the data collection cycle node The voltage data of the a-th silencer in the next ith route segment, Indicates the a-th noise reduction device in the i-th route segment at the data collection cycle node To the data collection cycle node Active resistance noise reduction index between; Preset active resistance noise reduction index threshold interval, if the a-th noise reduction device in the i-th route segment is at the data collection cycle node To the data collection cycle node Active resistance noise reduction index between If the active resistance noise reduction index threshold value does not exist, it is determined that the a-th noise reduction device in the i-th route segment is at the data collection cycle node To the data collection cycle node There are operational anomalies.

5. The active resistance noise reduction supervision method for highways according to claim 4 is characterized in that: The specific implementation process of step S4 includes: Predict the a-th silencer device in the i-th route segment at the data collection cycle node To the data collection cycle node The active resistance noise reduction index between is calculated as follows: ； ； in, represents the mean change of the active resistance noise reduction index of the a-th noise reduction device in the i-th route segment, Indicates the a-th noise reduction device in the i-th route segment at the data collection cycle node To the data collection cycle node Active resistance noise reduction index between Indicates the predicted value of the a-th noise reduction device in the i-th route segment at the data collection cycle node To the data collection cycle node Active resistance noise reduction index between Indicates the a-th noise reduction device in the i-th route segment at the data collection cycle node To the data collection cycle node Active resistance noise reduction index between; If the a-th noise reduction device in the predicted i-th route segment is at the data collection cycle node To the data collection cycle node Active resistance noise reduction index between If the active resistance noise reduction index threshold value does not exist, the a-th noise reduction device in the i-th route segment is predicted to be at the data collection cycle node To the data collection cycle node There will be operational anomalies between them; Let i=i+1, traverse all route sections in the expressway, obtain all silencer devices predicted to have abnormal operation in the expressway, and send early warning maintenance notifications to relevant staff.

6. An active reactive noise reduction monitoring system for a highway, which implements an active reactive noise reduction monitoring method for a highway as claimed in any one of claims 1 to 5, characterized in that: The system includes: a data acquisition module, a coordinate system construction and slope calculation module, an index calculation module and a prediction and warning output module; The data acquisition module evenly divides the expressway into several route sections and arranges noise sensors in the route sections; acquires the operating status data of the silencing equipment in the route sections and constructs a periodic data acquisition sequence; The coordinate system construction and slope calculation module: constructs the noise fluctuation coordinate system and noise fluctuation curve of the route segment at all data collection cycle nodes according to the noise data, and calculates the slope of the noise fluctuation curve between two adjacent coordinate points; The index calculation module: presets a slope threshold value, and if there is abnormal noise fluctuation between two adjacent data collection cycle nodes in the route segment, calculates the active resistance noise reduction index of the noise reduction equipment in the route segment, and presets the index threshold interval; The prediction and warning output module predicts the active resistance noise reduction index of the noise reduction equipment in the route section at the next data collection cycle node based on the active resistance noise reduction index, and analyzes and issues a unified warning for the noise reduction equipment with abnormal operation at the next data collection cycle node based on the index threshold range.

7. The active reactive noise reduction monitoring system for highways according to claim 6 is characterized in that: The data acquisition module includes a data acquisition unit; The data acquisition unit: retrieves a route map of the expressway from an official website of the expressway, divides the expressway evenly into a number of route sections based on the route map, and arranges noise sensors in the route sections, wherein one route section corresponds to one noise sensor; obtains operating status data of the silencer in the route section, wherein the operating status data includes current data and voltage data; and constructs a periodic data acquisition sequence.

8. The active reactive noise reduction monitoring system for highways according to claim 7 is characterized in that: The coordinate system construction and slope calculation module includes a coordinate system construction unit and a slope calculation unit; The coordinate system construction unit: constructs a noise fluctuation coordinate system of the route segment under all data collection cycle nodes based on the noise data in the route segment under the data collection cycle nodes, wherein the abscissa of the noise fluctuation coordinate system is the sequentially arranged data collection cycle nodes, and the ordinate of the noise fluctuation coordinate system is the noise data corresponding to the sequentially arranged data collection cycle nodes; The slope calculation unit sequentially connects all coordinate points in the noise fluctuation coordinate system, constructs a noise fluctuation curve, and calculates the slope of the noise fluctuation curve between two adjacent coordinate points.

9. The active reactive noise reduction monitoring system for highways according to claim 8, characterized in that: The index calculation module includes an index calculation unit; The index calculation unit: presets a slope threshold value, and if the slope of the noise fluctuation curve between adjacent data collection cycle nodes of the route segment is greater than or equal to the slope threshold value, it is determined that there is abnormal noise fluctuation between adjacent data collection cycle nodes of the route segment, and the active resistance noise reduction index of the noise reduction equipment in the route segment between adjacent data collection cycle nodes is calculated; An active resistance noise reduction index threshold interval is preset. If the active resistance noise reduction index does not exist within the active resistance noise reduction index threshold interval, it is determined that the noise reduction equipment in the route segment has an operational abnormality between adjacent data collection cycle nodes.

10. The active reactive noise reduction monitoring system for highways according to claim 9, characterized in that: The prediction and warning output module includes a prediction unit and a warning output unit; The prediction unit predicts the active resistance noise reduction index of the noise reduction equipment in the route section at the next data collection cycle node; The early warning output unit: if the predicted active resistance silencer index does not exist within the active resistance silencer index threshold range, it is predicted that the silencer equipment in the route segment will have an operating abnormality at the next data collection cycle node; all route segments in the expressway are traversed to obtain all silencer equipment predicted to have an operating abnormality in the expressway, and a warning maintenance notification is sent to relevant staff.

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