An Automatic Cleaning and Detection Method and Equipment for an Elevated Sound Insulation Wall

Abstract

The present invention provides an automatic cleaning and detection method and device for elevated sound insulation walls, belonging to the technical field of cleaning equipment. Specifically, it includes: performing cleaning treatment on elevated sound insulation walls of similar groups with different dirt states according to a preset flow rate until the cleaning state of the elevated sound insulation walls with the cleaning state detection length of the similar groups with dirt states is obtained. Using the cleaning state of the elevated sound insulation walls with the cleaning state detection length to determine the cleaning flow rates of different similar groups with dirt states, performing cleaning treatment on elevated sound insulation walls of different similar groups with dirt states based on the cleaning flow rates of the similar groups with dirt states, and dynamically adjusting the cleaning flow rates of the similar groups with dirt states according to the detection results of the cleaning states of the elevated sound insulation walls after the cleaning treatment, ensuring the efficiency of the cleaning treatment of the elevated sound insulation walls.

Description

Technical Field

[0001] The present invention belongs to the technical field of cleaning equipment, and particularly relates to an automatic cleaning and detection method and device for elevated sound insulation walls. Background Art

[0002] In order to reduce the impact of elevated vehicle noise on residents, the installation of elevated sound insulation walls can greatly achieve sound insulation and noise reduction for noise sources. However, at the same time, how to clean the sound insulation walls has become a technical problem to be urgently solved.

[0003] Specifically, in the invention patent application CN202210387639.4 "A Sound Insulation Board Cleaning Device", before cleaning the cleaning board by brushing, the sound insulation board is first preliminarily dusted, and the dust is collected, so that it can move on a relatively long sound insulation board. However, through analysis, it is not difficult to find the following technical problems:

[0004] When cleaning the elevated sound insulation wall, due to the limited water carrying capacity of the cleaning equipment, if the same cleaning flow rate is used for elevated sound insulation walls in different cleaning states, it will inevitably lead to a slow cleaning efficiency of the elevated sound insulation wall.

[0005] In view of the above technical problems, the present invention provides an automatic cleaning and detection method and device for elevated sound insulation walls. Summary of the Invention

[0006] To achieve the object of the present invention, the present invention adopts the following technical solutions:

[0007] According to one aspect of the present invention, an automatic cleaning and detection method for elevated sound insulation walls is provided.

[0008] An automatic cleaning and detection method for elevated sound insulation walls specifically includes:

[0009] S1 Based on the historical traffic volume of the elevated lane corresponding to the elevated sound insulation wall, the elevated sound insulation wall is divided into multiple groups with similar dirt states;

[0010] S2 Obtain the distribution data and length of the elevated sound insulation walls in different groups with similar dirt states, and determine the cleaning state detection length of different groups with similar dirt states in combination with the historical traffic volume of the elevated lanes corresponding to different groups with similar dirt states;

[0011] S3 Clean the elevated sound insulation walls in different groups with similar dirt states according to a preset flow rate until the cleaning state of the elevated sound insulation wall with the cleaning state detection length is obtained, and use the cleaning state of the elevated sound insulation wall with the cleaning state detection length to determine the cleaning flow rate of different groups with similar dirt states;

[0012] S4 performs cleaning treatment on the elevated sound insulation walls of different similar groups of dirt states based on the cleaning flow rate of the similar groups of dirt states, and dynamically adjusts the cleaning flow rate of the similar groups of dirt states according to the detection results of the cleaning states of the elevated sound insulation walls after the cleaning treatment.

[0013] A further technical solution lies in that the historical traffic flow is determined according to the analysis result of the monitoring data of the monitoring device on the elevated lane.

[0014] A further technical solution lies in that the elevated sound insulation walls are divided into multiple similar groups of dirt states, specifically including:

[0015] Based on the historical traffic flow, determine the deviation situation of the historical traffic flow between different elevated sound insulation walls on different dates;

[0016] Determine the traffic flow deviation dates between different elevated sound insulation walls according to the deviation situation of the historical traffic flow on different dates;

[0017] Based on the number of traffic flow deviation dates, determine the traffic flow similarity coefficient between different elevated sound insulation walls, and divide the elevated sound insulation walls into multiple similar groups of dirt states through the traffic flow similarity coefficient.

[0018] A further technical solution lies in that the elevated sound insulation walls are divided into multiple similar groups of dirt states through the traffic flow similarity coefficient, specifically including:

[0019] Divide the elevated sound insulation walls with a traffic flow similarity coefficient greater than the preset similarity coefficient between each other into the same similar group of dirt states.

[0020] A further technical solution lies in that the preset flow rate is determined according to the cleaning length of the elevated sound insulation wall, where the longer the cleaning length of the elevated sound insulation wall, the smaller the preset flow rate.

[0021] A further technical solution lies in that the method for determining the cleaning flow rate of the similar group of dirt states is:

[0022] Based on the detection results of the cleaning states of the elevated sound insulation walls with the cleaning state detection length, determine the lengths of the elevated sound insulation walls in different cleaning state intervals;

[0023] Determine the matching cleaning flow rates corresponding to different cleaning state intervals, and determine the weight values of the matching cleaning flow rates in different cleaning state intervals according to the length ratios of the elevated sound insulation walls in different cleaning state intervals;

[0024] Based on the matching cleaning flow rates of the elevated sound insulation walls in different cleaning state intervals and the weight values of the matching cleaning flow rates, determine the cleaning flow rate of the similar group of dirt states.

[0025] A further technical solution lies in that the cleaning state of the elevated sound insulation wall is determined according to the analysis result of the monitoring image of the cleaning equipment of the elevated sound insulation wall.

[0026] On the other hand, the present application provides an automatic cleaning and detection device for an elevated sound insulation wall, which adopts the above-mentioned automatic cleaning and detection method for an elevated sound insulation wall, and specifically includes:

[0027] A group division module, a detection length determination module, a cleaning flow determination module, and a flow adjustment module;

[0028] Among them, the group division module is responsible for dividing the elevated sound insulation wall into multiple groups with similar dirt states based on the historical traffic volume of the elevated lane corresponding to the elevated sound insulation wall;

[0029] The detection length determination module is responsible for obtaining the distribution data and length of the elevated sound insulation walls with different similar dirt states, and determining the cleaning state detection length of different groups with similar dirt states in combination with the historical traffic volume of the elevated lanes corresponding to different groups with similar dirt states;

[0030] The cleaning flow determination module is responsible for cleaning the elevated sound insulation walls of different groups with similar dirt states according to a preset flow until the cleaning state of the elevated sound insulation wall with the cleaning state detection length is obtained, and determining the cleaning flow of different groups with similar dirt states by using the cleaning state of the elevated sound insulation wall with the cleaning state detection length;

[0031] The flow adjustment module is responsible for cleaning the elevated sound insulation walls of different groups with similar dirt states based on the cleaning flow of the groups with similar dirt states, and dynamically adjusting the cleaning flow of the groups with similar dirt states according to the detection result of the cleaning state of the elevated sound insulation wall after cleaning.

[0032] The beneficial effects of the present invention are as follows:

[0033] 1. In the present invention, the cleaning flow of different groups with similar dirt states is determined by using the cleaning state of the elevated sound insulation wall with the cleaning state detection length, so as to realize the dynamic adjustment of the cleaning flow of different groups with similar dirt states from the perspective of the cleaning state of the elevated sound insulation wall, avoid the technical problem of slow cleaning efficiency caused by excessive water consumption due to the use of the same cleaning flow, and at the same time ensure the cleaning effect of the elevated sound insulation wall.

[0034] 2. In the present invention, according to the detection result of the cleaning state of the elevated sound insulation wall after cleaning, the cleaning flow rate of the similar groups of soiled states is dynamically adjusted, avoiding the technical problem that the cleaning result of the elevated sound insulation wall is difficult to meet the requirements caused by using a fixed cleaning flow rate. By dynamically adjusting the cleaning flow rate according to the detection result of the cleaning state, on the basis of avoiding excessive water usage, the reliability of the cleaning effect of the elevated sound insulation wall is further improved.

[0035] Other features and advantages will be described in the following specification. The objectives and other advantages of the present invention are achieved and obtained by the structures specifically pointed out in the specification and the accompanying drawings.

[0036] To make the above objectives, features, and advantages of the present invention more obvious and understandable, the following specific preferred embodiments are given in conjunction with the accompanying drawings and are described in detail as follows. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] By referring to the accompanying drawings and describing its exemplary embodiments in detail, the above and other features and advantages of the present invention will become more obvious;

[0038] Figure 1 is a flowchart of an automatic cleaning and detection method for an elevated sound insulation wall;

[0039] Figure 2 is a flowchart of a method for determining the detection length of the cleaning state of similar groups of soiled states;

[0040] Figure 3 is a flowchart of a method for determining the cleaning flow rate of similar groups of soiled states;

[0041] Figure 4 is a framework diagram of an automatic cleaning and detection device for an elevated sound insulation wall. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0042] In order to enable those skilled in the art to better understand the technical solutions in this specification, the following will clearly and completely describe the technical solutions in the embodiments of this specification in conjunction with the accompanying drawings in the embodiments of this specification. Obviously, the described embodiments are only a part of the embodiments of this specification, rather than all the embodiments. Based on the embodiments of this specification, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of this specification.

[0043] When cleaning the elevated sound insulation wall, due to the limited water carrying capacity of the cleaning equipment, different cleaning flow rates need to be adopted according to the elevated sound insulation walls with different cleaning states, so as to improve the cleaning efficiency on the basis of ensuring the cleaning reliability of the elevated sound insulation wall.

[0044] Similar groups of dirt states: determined using the total historical traffic volume within a preset time period. Expressways with a deviation in the total historical traffic volume of less than 100 vehicles are grouped into the same similar group of dirt states.

[0045] Cleaning state detection length of similar groups of dirt states: determining the detection ratios of different expressway noise barriers using historical traffic volume, and determining the cleaning state detection length of similar groups of dirt states by multiplying the detection ratio by the length.

[0046] Cleaning flow rate: determined based on the proportion of deviation in the cleaning state of the expressway noise barrier corresponding to the cleaning state detection length. Specifically, when the proportion of deviation in the cleaning state is 10%, the cleaning flow rate is the preset flow rate multiplied by 1.1.

[0047] Performing dynamic adjustment of the cleaning flow rate for similar groups of dirt states: determining the proportion of deviation in the cleaning state based on the detection results of the cleaning state of the expressway noise barrier after cleaning. When the proportion of deviation in the cleaning state is greater than 5%, it is determined that dynamic adjustment of the cleaning flow rate for similar groups of dirt states is required.

[0048] Example 1 To solve the above problems, according to one aspect of the present invention, as Figure 1 shown, an automatic cleaning and detection method for expressway noise barriers is provided, specifically including:

[0049] S1 Based on the historical traffic volume of the expressway lane corresponding to the expressway noise barrier, the expressway noise barriers are divided into multiple similar groups of dirt states;

[0050] S2 Obtaining the distribution data and length of the expressway noise barriers in different similar groups of dirt states, and determining the cleaning state detection length of different similar groups of dirt states in combination with the historical traffic volume of the expressway lanes corresponding to different similar groups of dirt states;

[0051] S3 Performing cleaning treatment on the expressway noise barriers in different similar groups of dirt states according to the preset flow rate until the cleaning state of the expressway noise barrier with the cleaning state detection length is obtained, and determining the cleaning flow rate of different similar groups of dirt states using the cleaning state of the expressway noise barrier with the cleaning state detection length;

[0052] S4 Based on the cleaning flow rate of the similar groups of dirt states, performing cleaning treatment on the expressway noise barriers in different similar groups of dirt states, and performing dynamic adjustment of the cleaning flow rate of the similar groups of dirt states according to the detection results of the cleaning state of the expressway noise barrier after cleaning.

[0053] Furthermore, the historical traffic volume is determined based on the analysis result of the monitoring data of the monitoring device of the expressway lane.

[0054] Specifically, divide the elevated sound insulation walls into multiple groups with similar dirt states, specifically including:

[0055] Based on the historical traffic flow, determine the deviation of the historical traffic flow between different elevated sound insulation walls on different dates;

[0056] Determine the traffic flow deviation dates between different elevated sound insulation walls according to the deviation of the historical traffic flow on different dates;

[0057] Based on the number of traffic flow deviation dates, determine the traffic flow similarity coefficient between different elevated sound insulation walls, and divide the elevated sound insulation walls into multiple groups with similar dirt states through the traffic flow similarity coefficient.

[0058] It can be understood that dividing the elevated sound insulation walls into multiple groups with similar dirt states through the traffic flow similarity coefficient specifically includes:

[0059] Divide the elevated sound insulation walls with a traffic flow similarity coefficient greater than the preset similarity coefficient between each other into the same group with a similar dirt state.

[0060] In addition, it should be noted that dividing the elevated sound insulation walls into multiple groups with similar dirt states specifically includes:

[0061] Based on the historical traffic flow, determine the deviation of the historical traffic flow between different elevated sound insulation walls on different dates, and use the deviation to determine the traffic flow deviation amount between different elevated sound insulation walls on different dates;

[0062] Determine the date similarity coefficient between different elevated sound insulation walls on different dates according to the traffic flow deviation amount, and determine the traffic flow similarity coefficient between different elevated sound insulation walls through the average value of the date similarity coefficients on different dates;

[0063] Divide the elevated sound insulation walls into multiple groups with similar dirt states through the traffic flow similarity coefficient.

[0064] In addition, it should be noted that dividing the elevated sound insulation walls into multiple groups with similar dirt states specifically includes:

[0065] S11 Based on the historical traffic flow, determine the deviation amount of the daily average traffic flow between different elevated sound insulation walls, and judge whether the deviation amount of the daily average traffic flow between the elevated sound insulation walls meets the requirements. If so, proceed to the next step; if not, determine that the elevated sound insulation walls do not belong to the same group with a similar dirt state;

[0066] S12 Determine the deviation of historical traffic flow between different elevated sound insulation walls on different dates, and use the deviation to determine the traffic flow deviation amount between different elevated sound insulation walls on different dates. Determine whether there are traffic flow similar dates between the elevated sound insulation walls through the traffic flow deviation amount. If so, proceed to the next step; if not, proceed to step S15;

[0067] S13 Judge whether the number of traffic flow similar dates is greater than the preset number of dates. If so, determine that the elevated sound insulation walls belong to the same similar group of dirt states; if not, proceed to the next step;

[0068] S14 Obtain the number and proportion of the traffic flow similar dates, and combine the traffic flow deviation amounts of different traffic flow similar dates to determine the similarity coefficient evaluation amount between the elevated sound insulation walls. Judge whether the similarity coefficient evaluation amount meets the requirements. If so, determine that the elevated sound insulation walls belong to the same similar group of dirt states; if not, proceed to the next step;

[0069] S15 Determine the date similarity coefficient between different elevated sound insulation walls on different dates according to the traffic flow deviation amount. Judge whether the number of dates with a date similarity coefficient less than the preset coefficient threshold meets the requirements. If so, determine that the elevated sound insulation walls belong to the same similar group of dirt states; if not, proceed to the next step;

[0070] S16 Determine the traffic flow similarity coefficient between different elevated sound insulation walls through the average value of the date similarity coefficients on different dates and the similarity coefficient evaluation amount between the elevated sound insulation walls. Divide the elevated sound insulation walls into multiple similar groups of dirt states through the traffic flow similarity coefficient.

[0071] Furthermore, the historical traffic flow of the elevated lane corresponding to the similar group of dirt states is determined according to the average value of the historical traffic flows of the elevated sound insulation walls in the similar group of dirt states.

[0072] Specifically, as Figure 2 shown, the method for determining the cleaning state detection length of the similar group of dirt states is as follows:

[0073] Use the historical traffic flow of the elevated lane corresponding to the similar group of dirt states to determine the benchmark detection ratio of the similar group of dirt states;

[0074] Divide the elevated sound insulation walls with the distance between the elevated sound insulation walls within the preset distance range into the same cleaning area, and use the lengths of the elevated sound insulation walls in different cleaning areas and the distances between different adjacent cleaning areas to determine the dirt state dispersion coefficient of the elevated sound insulation walls;

[0075] Determine the cleaning state detection ratio of the similar groups of dirt states by using the dirt state dispersion coefficient and the reference detection ratio, and determine the cleaning state detection length of the similar groups of dirt states according to the cleaning state detection ratio and the length of the elevated sound insulation walls in the similar groups of dirt states.

[0076] Further, determining the cleaning state detection ratio of the similar groups of dirt states by using the dirt state dispersion coefficient and the reference detection ratio specifically includes:

[0077] Determine the preset compensation detection ratio corresponding to the dirt state dispersion coefficient according to the dirt state dispersion coefficient, and use the sum of the preset compensation detection ratio and the reference detection ratio to determine the cleaning state detection ratio of the similar groups of dirt states.

[0078] In addition, it should be noted that the method for determining the cleaning state detection length of the similar groups of dirt states is:

[0079] Determine the traffic flow busyness coefficient of the similar groups of dirt states by using the historical traffic flow of the elevated lanes corresponding to the similar groups of dirt states;

[0080] Determine the average interval distance between adjacent elevated sound insulation walls according to the distribution of the elevated sound insulation walls, and use the average interval distance to determine the distribution dispersion coefficient between the elevated sound insulation walls;

[0081] Determine the cleaning state detection ratio of the similar groups of dirt states by multiplying the distribution dispersion coefficient by the traffic flow busyness coefficient, and determine the cleaning state detection length of the similar groups of dirt states according to the cleaning state detection ratio and the length of the elevated sound insulation walls in the similar groups of dirt states.

[0082] In addition, it should be noted that the method for determining the cleaning state detection length of the similar groups of dirt states is:

[0083] S21 Determine the traffic flow busyness coefficient of the similar groups of dirt states by using the historical traffic flow of the elevated lanes corresponding to the similar groups of dirt states, and judge whether the traffic flow busyness coefficient of the similar groups of dirt states is greater than the preset busyness coefficient. If so, determine the cleaning state detection length of the similar groups of dirt states with the preset detection ratio and the length of the elevated sound insulation walls in the similar groups of dirt states. If not, go to the next step;

[0084] S22 Divide the elevated sound insulation walls with the distance between the elevated sound insulation walls within the preset distance range into the same cleaning area, and judge whether the number of the cleaning areas is greater than the preset number of cleaning areas. If so, go to the next step. If not, go to step S25;

[0085] S23 determines whether the average distance between different adjacent cleaning areas is greater than a preset distance threshold. If so, proceed to the next step; if not, proceed to step S25;

[0086] S24 takes the cleaning areas where the distance of the elevated sound insulation wall is greater than the preset distance as the screened cleaning areas, and determines whether the number of the screened cleaning areas is greater than the preset number of areas. If so, determines the cleaning state detection length of the similar group of dirt states according to the preset detection ratio and the length of the elevated sound insulation wall in the similar group of dirt states; if not, proceed to the next step;

[0087] S25 determines the dirt state dispersion coefficient of the elevated sound insulation wall by using the length of the elevated sound insulation wall of different cleaning areas and the distance between different adjacent cleaning areas, determines the cleaning state detection ratio of the similar group of dirt states by multiplying the dirt state dispersion coefficient by the traffic flow busyness coefficient, and determines the cleaning state detection length of the similar group of dirt states according to the cleaning state detection ratio and the length of the elevated sound insulation wall in the similar group of dirt states.

[0088] Further, the preset flow rate is determined according to the cleaning length of the elevated sound insulation wall, where the longer the cleaning length of the elevated sound insulation wall, the smaller the preset flow rate.

[0089] Specifically, as Figure 3 shown, the method for determining the cleaning flow rate of the similar group of dirt states is as follows:

[0090] Based on the detection results of the cleaning states of the elevated sound insulation wall with the cleaning state detection length, determine the lengths of the elevated sound insulation walls in different cleaning state intervals;

[0091] Determine the matching cleaning flow rates corresponding to different cleaning state intervals, and determine the weight values of the matching cleaning flow rates in different cleaning state intervals according to the length ratios of the elevated sound insulation walls in different cleaning state intervals;

[0092] Based on the matching cleaning flow rates of the elevated sound insulation walls in different cleaning state intervals and the weight values of the matching cleaning flow rates, determine the cleaning flow rate of the similar group of dirt states.

[0093] In addition, it should be further noted that the method for determining the cleaning flow rate of the similar group of dirt states is as follows:

[0094] Based on the detection results of the cleaning states of the elevated sound insulation wall with the cleaning state detection length, determine the lengths of the elevated sound insulation walls in different cleaning state intervals;

[0095] Determine the matching cleaning flow rates corresponding to different cleaning state intervals, and determine the weight values of the matching cleaning flow rates for different cleaning state intervals according to the length ratios of the elevated sound insulation walls in different cleaning state intervals;

[0096] Based on the matching cleaning flow rates of the elevated sound insulation walls in different cleaning state intervals and the weight values of the matching cleaning flow rates, determine the cleaning flow rate of the similar group of soiling states.

[0097] Furthermore, the cleaning state of the elevated sound insulation wall is determined according to the analysis result of the monitoring image of the cleaning equipment of the elevated sound insulation wall.

[0098] In addition, it should be further noted that the method for determining the cleaning flow rate of the similar group of soiling states is as follows:

[0099] S31 Based on the detection result of the cleaning state of the elevated sound insulation wall with the cleaning state detection length, determine whether there is an elevated sound insulation wall whose cleaning state does not meet the requirements. If so, proceed to the next step; if not, proceed to step S35;

[0100] S32 Take the elevated sound insulation wall whose cleaning state does not meet the requirements as an abnormal cleaning state sound insulation wall, and judge whether the length of the abnormal cleaning state sound insulation wall in the similar group of soiling states meets the requirements. If so, proceed to the next step; if not, use the preset cleaning flow rate to determine the cleaning flow rate of the similar group of soiling states;

[0101] S33 Determine the interval distance between adjacent abnormal cleaning state sound insulation walls based on the distribution data of the abnormal cleaning state sound insulation walls, and use the interval distance between adjacent abnormal cleaning state sound insulation walls to determine the interval dispersion coefficient of the abnormal cleaning state sound insulation walls. Judge whether the interval dispersion coefficient of the abnormal cleaning state sound insulation walls meets the requirements. If so, proceed to the next step; if not, use the preset cleaning flow rate to determine the cleaning flow rate of the similar group of soiling states;

[0102] S34 Based on the detection result of the cleaning state of the elevated sound insulation wall with the cleaning state detection length, determine the lengths of the elevated sound insulation walls in different cleaning state intervals, and judge whether there is a cleaning state interval in which the length ratio of the elevated sound insulation wall is greater than the preset length ratio. If so, use the matching cleaning flow rate corresponding to the cleaning state interval in which the length ratio is greater than the preset length ratio to determine the cleaning flow rate of the similar group of soiling states; if not, proceed to the next step;

[0103] S35 determines the matching cleaning flow rates corresponding to different cleaning state intervals, and determines the weight values of the matching cleaning flow rates for different cleaning state intervals according to the length ratios of the elevated sound insulation walls in different cleaning state intervals. Based on the matching cleaning flow rates of the elevated sound insulation walls in different cleaning state intervals and the weight values of the matching cleaning flow rates, the cleaning flow rate of the similar group of soiling states is determined.

[0104] Further, perform dynamic adjustment of the cleaning flow rate of the similar group of soiling states, specifically including:

[0105] Use the detection results of the cleaning states of the elevated sound insulation walls after cleaning treatment to determine whether there are elevated sound insulation walls with abnormal cleaning states. If so, proceed to the next step; if not, determine that there is no need to perform dynamic adjustment of the cleaning flow rate of the similar group of soiling states;

[0106] Determine the elevated sound insulation walls with abnormal cleaning states within different detection time periods, and use them as the abnormal sound insulation walls for cleaning treatment. Judge whether the length of the abnormal sound insulation walls for cleaning treatment meets the requirements. If so, proceed to the next step; if not, perform dynamic adjustment of the cleaning flow rate of the similar group of soiling states using the preset cleaning flow rate compensation amount;

[0107] Obtain the number of detection time periods with abnormal sound insulation walls for cleaning treatment, and judge whether the number of detection time periods with abnormal sound insulation walls for cleaning treatment meets the requirements. If so, proceed to the next step; if not, perform dynamic adjustment of the cleaning flow rate of the similar group of soiling states using the preset cleaning flow rate compensation amount;

[0108] Based on the lengths of the abnormal sound insulation walls for cleaning treatment within different detection time periods, determine the detection time periods in which the lengths of the abnormal sound insulation walls for cleaning treatment are greater than the preset length threshold, and judge whether the number of detection time periods in which the lengths of the abnormal sound insulation walls for cleaning treatment are greater than the preset length threshold meets the requirements. If so, proceed to the next step; if not, perform dynamic adjustment of the cleaning flow rate of the similar group of soiling states using the preset cleaning flow rate compensation amount;

[0109] Based on the lengths of the abnormal sound insulation walls for cleaning treatment within different detection time periods, determine the cleaning effect abnormality coefficient, and determine whether it is necessary to perform dynamic adjustment of the cleaning flow rate of the similar group of soiling states according to the cleaning effect abnormality coefficient.

[0110] Embodiment 2 On the other hand, as Figure 4 shown, the present application provides an automatic cleaning and detection device for an elevated sound insulation wall, adopting the above-mentioned automatic cleaning and detection method for an elevated sound insulation wall, specifically including:

[0111] Group division module, detection length determination module, cleaning flow rate determination module, flow rate adjustment module;

[0112] The group division module is responsible for dividing the elevated sound insulation wall into multiple groups with similar dirt states based on the historical traffic volume of the elevated lane corresponding to the elevated sound insulation wall;

[0113] The detection length determination module is responsible for obtaining the distribution data and length of the elevated sound insulation walls with different similar dirt states, and determining the cleaning state detection length of different groups with similar dirt states in combination with the historical traffic volume of the elevated lanes corresponding to different groups with similar dirt states;

[0114] The cleaning flow rate determination module is responsible for cleaning the elevated sound insulation walls of different groups with similar dirt states according to a preset flow rate until the cleaning state of the elevated sound insulation wall with the cleaning state detection length is obtained, and determining the cleaning flow rate of different groups with similar dirt states by using the cleaning state of the elevated sound insulation wall with the cleaning state detection length;

[0115] The flow rate adjustment module is responsible for cleaning the elevated sound insulation walls of different groups with similar dirt states based on the cleaning flow rate of the groups with similar dirt states, and dynamically adjusting the cleaning flow rate of the groups with similar dirt states according to the detection results of the cleaning states of the elevated sound insulation walls after the cleaning process.

[0116] Based on the above embodiments, the present invention has the following beneficial effects:

[0117] 1. In the present invention, the cleaning flow rate of different groups with similar dirt states is determined by using the cleaning state of the elevated sound insulation wall with the cleaning state detection length, so as to realize the dynamic adjustment of the cleaning flow rate of different groups with similar dirt states from the perspective of the cleaning state of the elevated sound insulation wall, avoiding the technical problem of slow cleaning efficiency caused by excessive water consumption when using the same cleaning flow rate, and at the same time ensuring the cleaning effect of the elevated sound insulation wall.

[0118] 2. In the present invention, the cleaning flow rate of the groups with similar dirt states is dynamically adjusted according to the detection results of the cleaning states of the elevated sound insulation walls after the cleaning process, avoiding the technical problem that the cleaning result of the elevated sound insulation wall is difficult to meet the requirements caused by using a fixed cleaning flow rate. By dynamically adjusting the cleaning flow rate according to the detection results of the cleaning states, on the basis of avoiding excessive water consumption, the reliability of the cleaning effect of the elevated sound insulation wall is further improved.

[0119] Each embodiment in this specification is described in a progressive manner. For the same or similar parts among the embodiments, reference can be made to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the embodiments of the apparatus, device, and non-volatile computer storage medium, since they are basically similar to the method embodiments, the description is relatively simple. For the relevant parts, reference can be made to the partial description of the method embodiments.

[0120] The above describes specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve the desired result. Additionally, the processes depicted in the figures do not necessarily require the particular order or sequential order shown to achieve the desired result. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0121] The above is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included within the scope of the claims of this specification.

Claims

1. An automatic cleaning detection method for elevated sound insulation walls, characterized in that: Specifically include: Based on the historical traffic volume of the elevated lanes corresponding to the elevated sound insulation walls, the elevated sound insulation walls are divided into multiple groups with similar dirtiness status; Obtain the distribution data and length of elevated sound insulation walls of different similar groups of dirty states, and determine the clean state detection length of different similar groups of dirty states in combination with the historical traffic flow of elevated lanes corresponding to the different similar groups of dirty states; Cleaning the elevated sound insulation walls of different similar groups of dirty states according to preset flow rates until the cleaning state of the elevated sound insulation walls of the similar groups of dirty states of the cleaning state detection length is obtained, and the cleaning flow rates of different similar groups of dirty states of the cleaning state are determined by using the cleaning state of the elevated sound insulation walls of the cleaning state detection length; Performing cleaning treatment on elevated sound insulation walls of different groups with similar dirty states based on the cleaning flow rates of the groups with similar dirty states, and dynamically adjusting the cleaning flow rates of the groups with similar dirty states according to the detection results of the cleaning states of the elevated sound insulation walls after the cleaning treatment; The method for determining the cleaning state detection length of the dirty state similar group is: Determine the traffic busy coefficient of the dirty state similar group by using the historical traffic flow of the elevated lane corresponding to the dirty state similar group; Determine the average spacing distance between adjacent elevated sound insulation walls in a group with similar dirty conditions according to the distribution of elevated sound insulation walls in a group with similar dirty conditions, and determine the distribution dispersion coefficient between the elevated sound insulation walls using the average spacing distance; The clean state detection ratio of the dirty state similar group is determined by the product of the distribution dispersion coefficient and the traffic flow busy coefficient, and the clean state detection length of the dirty state similar group is determined according to the clean state detection ratio and the length of the elevated sound insulation wall in the dirty state similar group.

2. The automatic cleaning detection method for elevated sound insulation wall according to claim 1, characterized in that: The historical vehicle flow is determined based on the analysis results of the monitoring data of the monitoring device of the elevated lane.

3. The automatic cleaning detection method for elevated sound insulation wall according to claim 1, characterized in that: Divide the elevated sound insulation walls into several groups with similar soiling conditions, including: Based on the historical traffic volume, determine the deviation of the historical traffic volume between different elevated noise barriers on different dates; Determine the deviation date of traffic flow between different elevated noise insulation walls according to the deviation of historical traffic flow on different dates; The traffic flow similarity coefficients between different elevated sound insulation walls are determined based on the number of traffic flow deviation dates, and the elevated sound insulation walls are divided into a plurality of similar dirtiness status groups according to the traffic flow similarity coefficients.

4. The automatic cleaning detection method for elevated sound insulation wall according to claim 3, characterized in that: The elevated sound insulation wall is divided into a plurality of similar dirty status groups according to the vehicle flow similarity coefficient, including: Elevated sound insulation walls whose traffic flow similarity coefficients are greater than a preset similarity coefficient are classified into the same similarity group of dirtiness.

5. The automatic cleaning detection method for elevated sound insulation wall according to claim 1, characterized in that: The historical traffic volume of the elevated lane corresponding to the similar group in terms of dirtiness is determined according to the average value of the historical traffic volume of the elevated sound insulation wall in the similar group in terms of dirtiness.

6. The automatic cleaning detection method for elevated sound insulation wall according to claim 1, characterized in that: The preset flow rate is determined according to the clean length of the elevated sound insulation wall, wherein the longer the clean length of the elevated sound insulation wall is, the smaller the preset flow rate is.

7. An automatic cleaning and detection device for elevated sound insulation walls, using an automatic cleaning and detection method for elevated sound insulation walls according to any one of claims 1 to 6, characterized in that: Specifically include: Group division module, detection length determination module, cleaning flow determination module, flow adjustment module; The group division module is responsible for dividing the elevated sound insulation wall into a plurality of groups with similar dirtiness status based on the historical traffic volume of the elevated lane corresponding to the elevated sound insulation wall; The detection length determination module is responsible for obtaining the distribution data and lengths of elevated sound insulation walls with similar different dirty states, and determining the clean state detection lengths of different dirty state similar groups in combination with the historical traffic flow of elevated lanes corresponding to different dirty state similar groups; The cleaning flow determination module is responsible for performing cleaning processing on elevated sound insulation walls of different similar groups of dirty states according to preset flow rates until the cleaning state of the elevated sound insulation walls of the similar groups of dirty states of the cleaning state detection length is obtained, and the cleaning flow rates of different similar groups of dirty states of the cleaning state are determined by using the cleaning state of the elevated sound insulation walls of the cleaning state detection length; The flow adjustment module is responsible for cleaning the elevated sound insulation walls of different groups with similar dirty states based on the cleaning flow of the groups with similar dirty states, and dynamically adjusting the cleaning flow of the groups with similar dirty states according to the detection results of the cleaning state of the elevated sound insulation walls after the cleaning treatment.

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