Method and device for determining repair parameters of drainage pipeline

Abstract

The invention relates to the technical field of drainage pipe network non-excavation repair, and provides a method and device for determining repair parameters of a drainage pipeline. The method comprises the following steps: determining each state parameter model corresponding to a current damage parameter according to the current damage parameter of the drainage pipeline; according to a state parameter model, determining a state parameter enabling the repair speed in the state parameter model to reach a preset repair speed; determining repair parameters of the drainage pipeline according to the state parameters; wherein the state parameter model is one of a temperature parameter model representing the corresponding relation between the repairing temperature and the repairing speed and a glue parameter model representing the corresponding relation between the glue amount and the repairing speed. According to the method for determining the repair parameters of the drainage pipeline, the repair efficiency of the drainage pipeline can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of trenchless repair of drainage pipe networks, and in particular to a method and device for determining repair parameters of a drainage pipe. Background Art

[0002] At present, drainage pipes are usually made of resin as raw material in drainage networks. This type of drainage pipe is prone to damage, so local repair of the drainage pipe is required, such as wrapping a repair airbag with glass fiber cloth impregnated with a mixture of resin and glue, inflating it to make it fit tightly against the old pipe and solidifying it into shape. A new lining pipe is formed inside the pipe at the repair point to achieve trenchless repair.

[0003] In the related art, the drainage pipe is repaired by using the same repair parameters, such as resin material, and using the recommended amount of glue to perform partial resin repair on the drainage pipe. However, different drainage pipes are located in different environments, and the degree of damage to the drainage pipes is also different each time. If the same repair parameters are used to repair the damaged drainage pipes, the repair parameters may not match the damaged drainage pipes, affecting the repair efficiency of the drainage pipes. Summary of the invention

[0004] The present application aims to solve at least one of the technical problems existing in the related art. To this end, the present application proposes a method for determining repair parameters of a drainage pipe, which can improve the repair efficiency of the drainage pipe.

[0005] The present application also proposes a device for determining repair parameters of a drainage pipe.

[0006] The application also provides an electronic device.

[0007] The present application also proposes a computer-readable storage medium.

[0008] According to the first aspect of the present application, a method for determining repair parameters of a drainage pipe includes:

[0009] According to the current damage parameters of the drainage pipe, determining each state parameter model corresponding to the current damage parameters;

[0010] According to the state parameter model, determining the state parameter that enables the repair speed in the state parameter model to reach the preset repair speed;

[0011] Determining the repair parameters of the drainage pipe according to each of the state parameters;

[0012] The state parameter model is one of a temperature parameter model representing the corresponding relationship between the repair temperature and the repair speed, and a glue parameter model representing the corresponding relationship between the glue amount and the repair speed.

[0013] By determining each state parameter model corresponding to the current damage parameter of the drainage pipe according to the current damage parameter, and determining the state parameter that makes the repair speed in the state parameter model reach the preset repair speed according to the state parameter model, so as to determine the repair parameter of the drainage pipe according to each state parameter, when repairing the drainage pipe, it is possible to select an appropriate repair parameter to repair the drainage pipe according to the damage condition of the drainage pipe, thereby improving the repair efficiency of the drainage pipe.

[0014] According to one embodiment of the present application, it also includes:

[0015] Identify the pipeline image of the drainage pipeline and obtain the crack area in the pipeline image;

[0016] According to the area of ​​the crack region, the current damage parameter of the drainage pipe is obtained.

[0017] According to one embodiment of the present application, it also includes:

[0018] Determining that the damage parameter of the drainage pipe is within a preset parameter range, and obtaining a first repair speed of the drainage pipe under each test repair temperature by using a preset amount of glue for repair;

[0019] According to each of the test repair temperatures and each of the first repair speeds at each of the test repair temperatures, the temperature parameter model in which the damage parameter of the drainage pipe is within the preset parameter range is obtained.

[0020] According to an embodiment of the present application, the temperature parameter model in the preset parameter range is obtained according to each of the test repair temperatures and each of the first repair speeds at each of the test repair temperatures, including:

[0021] Obtaining a plurality of first data pairs according to each of the test repair temperatures and each of the first repair speeds at each of the test repair temperatures;

[0022] Fitting each of the first data pairs to obtain the temperature parameter model V1n=a1*Tn when the damage parameter of the drainage pipe is within the preset parameter range 2 +b1*Tn+c;

[0023] Wherein, the first data pair includes the test repair temperature and the first repair speed at the test repair temperature;

[0024] V1 n represents the first repair speed under the test repair temperature Tn, and a1, b1 and c represent the temperature fitting parameters corresponding to the preset parameter interval.

[0025] According to one embodiment of the present application, it also includes:

[0026] According to the temperature parameter model when the damage parameter of the drainage pipe is within a preset parameter range, determining the optimal repair temperature corresponding to the preset parameter range;

[0027] Determine that the damage parameter of the drainage pipe is within the preset parameter range, and obtain each second repair speed when the drainage pipe is repaired with each test glue amount at the optimal repair temperature;

[0028] According to each test glue amount and each second repair speed corresponding to each test glue amount, the glue parameter model in which the damage parameter of the drainage pipe is within the preset parameter range is obtained.

[0029] According to an embodiment of the present application, according to each test glue amount and each second repair speed corresponding to each test glue amount, the glue parameter model in which the damage parameter of the drainage pipe is within the preset parameter range is obtained, including:

[0030] Obtaining multiple groups of second data pairs according to each of the test glue amounts and each of the second repair speeds corresponding to each of the test glue amounts;

[0031] Fitting each of the second data pairs to obtain the glue parameter model V2n=a2*ln(Xn) / Xn+b2 in which the damage parameter of the drainage pipe is within the preset parameter range;

[0032] Wherein, the second data pair includes the test glue amount and the second repair speed corresponding to the test glue amount;

[0033] V2n represents the second repair speed when the test glue amount is Xn, and a2 and b2 represent the glue amount fitting parameters corresponding to the preset parameter range.

[0034] According to an embodiment of the present application, the preset repair speed is a peak value of the repair speed in the state parameter model.

[0035] According to the second aspect of the present application, a device for determining repair parameters of a drainage pipe includes:

[0036] A parameter model determination module, used to determine each state parameter model corresponding to the current damage parameter of the drainage pipe according to the current damage parameter of the drainage pipe;

[0037] A state parameter determination module, used to determine, according to a state parameter model, a state parameter that enables a repair speed in the state parameter model to reach a preset repair speed;

[0038] A repair parameter determination module, used to determine the repair parameters of the drainage pipe according to each of the state parameters;

[0039] The state parameter model is one of a temperature parameter model representing the corresponding relationship between the repair temperature and the repair speed, and a glue parameter model representing the corresponding relationship between the glue amount and the repair speed.

[0040] According to an electronic device of an embodiment of the third aspect of the present application, the electronic device includes a processor and a memory storing a computer program, and when the processor executes the computer program, the method for determining the repair parameters of the drainage pipe described in any of the above embodiments is implemented.

[0041] According to the computer-readable storage medium of the fourth aspect of the present application, a computer program is stored thereon, and when the computer program is executed by a processor, the method for determining the repair parameters of the drainage pipe described in any of the above embodiments is implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the present application or the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0043] Figure 1 A flow chart of a method for determining repair parameters of a drainage pipe in some embodiments of the present application;

[0044] Figure 2 A schematic diagram of the structure of a device for determining repair parameters of a drainage pipe provided in some embodiments of the present application;

[0045] Figure 3 A schematic diagram of the structure of an electronic device provided for some embodiments of the present application. DETAILED DESCRIPTION

[0046] In order to make the purpose, technical solutions and advantages of this application clearer, the technical solutions in this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0047] Below, the method and device for determining the repair parameters of the drainage pipe provided in the embodiments of the present application will be introduced and explained in detail through several specific embodiments.

[0048] In one embodiment, a method for determining repair parameters of a drainage pipe is provided, and the method can be applied to a terminal device, such as a mobile terminal, a desktop terminal or a server, etc. The server can be an independent server or a server cluster composed of multiple servers, and can also be a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence sampling point devices.

[0049] like Figure 1 As shown, a method for determining repair parameters of a drainage pipe provided in this embodiment includes:

[0050] Step 101, according to the current damage parameter of the drainage pipe, determining each state parameter model corresponding to the current damage parameter;

[0051] Step 102, determining, according to the state parameter model, a state parameter that enables the repair speed in the state parameter model to reach a preset repair speed;

[0052] Step 103, determining the repair parameters of the drainage pipe according to each of the state parameters;

[0053] The state parameter model is one of a temperature parameter model representing the corresponding relationship between the repair temperature and the repair speed, and a glue parameter model representing the corresponding relationship between the glue amount and the repair speed.

[0054] In some embodiments, the drainage pipe may be a composite pipe made of resin, such as an epoxy resin steel pipe, or a plastic pipe with polyvinyl chloride resin as a carrier, such as a pipe. The damage parameter of the drainage pipe may be a crack diameter or crack area of ​​the drainage pipe.

[0055] In some embodiments, the current damage parameters of the drainage pipe, such as the current crack diameter, may be obtained first, and then, with respect to the current damage parameters, the temperature parameter model and the glue parameter model of the drainage pipe under the current damage parameters may be searched.

[0056] Among them, the determination of the temperature parameter model can be that before determining the repair parameters of the drainage pipe, the influence of different repair temperatures on the repair speed of the drainage pipe when the drainage pipe is at a certain damage parameter can be tested first. For example, for a drainage pipe with a crack diameter of 1 cm, the drainage pipe can be repaired with a preset amount of glue at different test temperatures to measure the repair speed of the drainage pipe at different test temperatures, and the corresponding relationship between the test temperature and the repair speed is recorded to form a mapping record table, and the mapping record table is used as the temperature parameter model corresponding to the damage parameter. In this way, by testing different damage parameters separately, the temperature parameter models corresponding to different damage parameters can be obtained.

[0057] Alternatively, in order to avoid the inability to find the corresponding temperature parameter model later, resulting in the inability to determine the repair parameters, multiple preset parameter intervals can be set according to the preset parameter intervals. For example, multiple crack diameter intervals (0cm, 5cm], (5cm, 10cm], (10cm, 15cm], etc. can be set according to the diameter interval of 5cm. Then, for a certain preset parameter interval, when the drainage pipe is at the midpoint value of the preset parameter interval, the preset amount of glue can be used to repair the drainage pipe to measure the repair speed of the drainage pipe at different test temperatures, and the corresponding relationship between the test temperature and the repair speed is recorded to form a mapping record table, and the mapping record table is used as the temperature parameter model corresponding to the preset parameter interval.

[0058] As a possible implementation, for a certain preset parameter interval, when the damage parameter of the drainage pipe is at the midpoint value of the preset parameter interval, the temperature of the drainage pipe can be made to reach the test temperature T1, and when the temperature of the drainage pipe reaches the test temperature T1, the drainage pipe is repaired with resin using a preset amount of glue, and the repair speed V11 of the drainage pipe at the test temperature T1 is measured. Then, the drainage pipe whose damage parameter is at the midpoint value of the preset parameter interval is re-acquired, the temperature of the drainage pipe is controlled to be adjusted to the test temperature T2, and when the temperature of the drainage pipe reaches the test temperature T2, the drainage pipe is repaired with resin using a preset amount of glue, and the repair speed V12 of the drainage pipe at the test temperature T2 is measured. By analogy, the repair speed of the battery at each test temperature can be obtained and recorded, so as to form a temperature parameter model corresponding to the preset parameter interval according to the corresponding relationship between each test temperature and each repair speed.

[0059] Similarly, the determination of the glue quantity parameter model can be done by first testing the effect of different glue quantities on the repair speed of the drainage pipe when the drainage pipe is at a certain damage parameter before determining the repair parameters of the drainage pipe. For example, for a drainage pipe with a crack diameter of 1 cm, different glue quantities can be used to repair the drainage pipe at the same test temperature to measure the repair speed of the drainage pipe under different glue quantities, and record the corresponding relationship between the glue quantity and the repair speed to form a mapping record table, which can be used as the glue parameter model corresponding to the damage parameter. In this way, by testing different damage parameters separately, the glue parameter models corresponding to different damage parameters can be obtained.

[0060] Alternatively, in order to avoid the inability to find the corresponding glue parameter model later, resulting in the inability to determine the repair parameters, multiple preset parameter intervals can be set according to the preset parameter intervals. For example, multiple crack diameter intervals (0cm, 5cm], (5cm, 10cm], (10cm, 15cm], etc. can be set according to the diameter interval of 5cm. Then, for a certain preset parameter interval, when the drainage pipe is at the midpoint value of the preset parameter interval, at the same test temperature, different amounts of glue can be used to repair the drainage pipe to measure the repair speed of the drainage pipe under different amounts of glue, and the corresponding relationship between the amount of glue and the repair speed is recorded to form a mapping record table, and the mapping record table is used as the glue parameter model corresponding to the preset parameter interval.

[0061] As a possible implementation, for a certain preset parameter interval, when the damage parameter of the drainage pipe is at the midpoint value of the preset parameter interval, the temperature of the drainage pipe can be made to reach the preset temperature T, and when the temperature of the drainage pipe reaches the preset temperature T, the test glue amount X1 is used to perform resin repair on the drainage pipe, and the repair speed V21 of the drainage pipe under the test glue amount X1 is measured. Then, the drainage pipe whose damage parameter is at the midpoint value of the preset parameter interval is re-acquired, the temperature of the drainage pipe is controlled to be adjusted to the preset temperature T, and when the temperature of the drainage pipe reaches the preset temperature T, the test glue amount X2 is used to perform resin repair on the drainage pipe, and the repair speed V22 of the drainage pipe under the test glue amount X2 is measured. By analogy, the repair speed of the battery under each test glue amount can be obtained and recorded, so as to form a glue parameter model corresponding to the preset parameter interval according to the corresponding relationship between each test glue amount and each repair speed.

[0062] Among them, the preset parameter interval can be set according to actual conditions. For example, the preset parameter interval of the drainage pipe can be divided through a large number of repair tests, so that the repair speeds of various damage parameters in the same preset parameter interval are similar under the same repair parameters, such as the maximum speed difference of the repair speeds of various damage parameters in the same preset parameter interval under the same repair parameters is less than the preset speed difference.

[0063] After obtaining the current damage parameter of the drainage pipe, the temperature parameter model whose corresponding damage parameter has the highest matching degree with the current damage parameter can be obtained from each temperature parameter model, and determined as the temperature parameter model corresponding to the current damage parameter; alternatively, based on the preset parameter interval in which the current damage parameter is located, the temperature parameter model corresponding to the preset parameter interval of the current damage parameter can be obtained from each temperature parameter model, and determined as the temperature parameter model corresponding to the current damage parameter.

[0064] Similarly, the glue parameter model whose corresponding damage parameter has the highest matching degree with the current damage parameter can be obtained from each glue parameter model, and determined as the glue parameter model corresponding to the current damage parameter; or, based on the preset parameter interval in which the current damage parameter is located, the glue parameter model corresponding to the preset parameter interval of the current damage parameter can be obtained from each glue parameter model, and determined as the glue parameter model corresponding to the current damage parameter.

[0065] After obtaining each state parameter model corresponding to the current damage parameter, each state parameter matching the preset repair speed can be obtained from each state parameter model. For example, after obtaining the temperature parameter model, the test temperature matching the preset repair speed can be obtained from the temperature parameter model to determine the repair temperature for repairing the drainage pipe; and the test glue amount matching the preset repair speed can be obtained from the glue parameter model to determine the glue amount for repairing the drainage pipe.

[0066] In order to further improve the repair speed of the drainage pipe, in some embodiments, the preset repair speed is the peak value of the repair speed in the state parameter model. For example, the fastest repair speed can be determined from all the repair speeds recorded by the temperature parameter model as the preset repair speed, and the test temperature corresponding to the preset repair speed can be determined as the repair temperature for repairing the drainage pipe. Similarly, the fastest repair speed can be determined from all the repair speeds recorded by the glue parameter model as the preset repair speed, and the test glue amount corresponding to the preset repair speed can be determined as the glue amount for repairing the drainage pipe.

[0067] After obtaining each state parameter, each state parameter can be determined as a repair parameter of the drainage pipe, so as to repair the drainage pipe based on the repair parameter. For example, after obtaining the repair temperature and the amount of glue, the repair temperature and the amount of glue can be combined as the repair parameter of the drainage pipe, so as to adjust the current temperature of the drainage pipe to the repair temperature, and use the amount of glue to repair the drainage pipe. Among them, the drainage pipe can be repaired by local resin repair. Exemplarily, the current temperature of the drainage pipe can be adjusted to the repair temperature, and then the glass fiber cloth impregnated with the resin and the determined amount of glue is wrapped on the repair airbag, inflated to make it close to the old pipe and solidified to form, and the drainage pipe is repaired to form a new lining pipe in the repair point pipe.

[0068] The above-designed method for determining the repair parameters of the drainage pipe determines each state parameter model corresponding to the current damage parameters of the drainage pipe according to the current damage parameters of the drainage pipe, and determines the state parameters that make the repair speed in the state parameter model reach the preset repair speed according to the state parameter model, so as to determine the repair parameters of the drainage pipe according to each state parameter, so that when repairing the drainage pipe, it is possible to select an appropriate repair parameter to repair the drainage pipe according to the damage condition of the drainage pipe, thereby improving the repair efficiency of the drainage pipe.

[0069] In order to improve the accuracy of the acquired repair parameters, in some embodiments, the method further includes:

[0070] Identify the pipeline image of the drainage pipeline and obtain the crack area in the pipeline image;

[0071] According to the area of ​​the crack region, the current damage parameter of the drainage pipe is obtained.

[0072] In some embodiments, for the identification of crack areas in pipeline images, an image detection model may be used to extract the pipeline image to obtain the crack areas in the pipeline image; wherein the image detection model is trained by sample images of each drainage pipeline.

[0073] In some embodiments, the image detection model can be a trained neural network, such as a convolutional neural network, U-Net, Mask RCNN, Deep Lab v3+, or FCIs (Fully Convolutional Instance-aware Semantic Segmentation) and other neural networks.

[0074] The image detection model can be trained by sample images of drainage pipes, wherein the sample images of drainage pipes include sample images of drainage pipes with crack areas captured at various angles.

[0075] As a possible implementation method, each drainage pipe sample image may be sequentially input into the image detection model, and each time after obtaining the crack region identification output by the image detection model, the identified crack region is matched with the crack region corresponding to the drainage pipe sample image input this time. In the case where the two do not match, the gradient descent method is used to adjust the network parameters of the image detection model through error back propagation, and then the next training is performed until each time the drainage pipe sample image is input, the crack region identified from the drainage pipe sample image input this time matches the preset crack region corresponding to the drainage pipe sample image input this time, which means that the training of the image detection model is completed, and a pre-trained image detection model is obtained.

[0076] After obtaining the pre-trained image detection model, the obtained pipeline image can be input into the image detection model to identify the crack area from the pipeline image through the image detection model. In this way, the image detection model can be used to accurately extract the crack area from the pipeline image, thereby improving the accuracy of subsequent detection.

[0077] In addition to extracting crack regions from pipeline images using an image detection model, in some embodiments, edge extraction may be performed on the pipeline image to obtain an edge image of the pipeline image, so as to obtain crack regions in the pipeline image based on the edge image of the pipeline image.

[0078] In some embodiments, edge extraction refers to a process for image contours in digital image processing. The place where the grayscale change rate of the image is the largest is defined as the edge, that is, the inflection point. The inflection point refers to the point where the function changes concavely and convexly, and the place where the second-order derivative is zero. Among them, edge extraction of the pipeline image can be performed by using an edge detection operator to perform edge detection on the pipeline image, so as to extract the contours of all objects from the pipeline image to form an edge image.

[0079] The edge detection operator may be any one of the edge operators such as the gradient edge operator, the Roberts edge operator, the Laplace edge operator and the Sobel edge operator. As a possible implementation, considering that the pipeline image with the crack area is usually a step edge image, and the Sobel edge operator is good at edge extraction of the step edge image, has a certain noise suppression capability, and the edge positioning is relatively accurate and complete, therefore, the image edge of the pipeline image can be extracted by approximating the first-order differential Sobel edge operator in the x direction and / or the y direction to obtain the edge image of the pipeline image.

[0080] After the edge image is acquired, the edge image can be used to detect the boundaries of the cracks, so as to extract the crack area from the pipeline image according to the detected crack boundaries. Thus, the crack area can be extracted from the pipeline image by edge extraction, effectively removing the interference of the background of the pipeline image on the crack area, thereby improving the accuracy of the extracted crack area.

[0081] After the crack region in the pipeline image is obtained, the area of ​​the crack region can be calculated according to the pixel points in the crack region, so as to use the area of ​​the crack region as the current damage parameter of the drainage pipeline.

[0082] By identifying the pipe image of the drainage pipe, the crack area in the pipe image is obtained, and the current damage parameters of the drainage pipe are obtained according to the area of ​​the crack area. Thus, the pipe image of the drainage pipe can be used to identify the current damage parameters of the drainage pipe, so as to improve the accuracy of the repair parameters obtained using the current damage parameters.

[0083] Considering that the state parameters can be obtained by searching the corresponding relationship between the repair speed and the state parameters in the state parameter model. In order to avoid the situation where there is no corresponding relationship between a certain state parameter and the repair speed in the state parameter model, it is necessary to record as many corresponding relationships between different state parameters and the repair speed as possible. However, this method will result in an excessive amount of recorded data, increased storage pressure, and reduced efficiency in searching for data. At the same time, since it is impossible to exhaust all the corresponding relationships between the state parameters and the repair speed, it may be impossible to find the optimal state parameters by searching for data, which will affect the repair efficiency of the drainage pipe.

[0084] To this end, in some embodiments, the method further comprises:

[0085] Determining that the damage parameter of the drainage pipe is within a preset parameter range, and obtaining a first repair speed of the drainage pipe under each test repair temperature by using a preset amount of glue for repair;

[0086] According to each of the test repair temperatures and each of the first repair speeds at each of the test repair temperatures, the temperature parameter model in which the damage parameter of the drainage pipe is within the preset parameter range is obtained.

[0087] For a preset parameter interval, when the drainage pipe is at the midpoint value of the preset parameter interval, the drainage pipe can be repaired with a preset amount of glue to measure the first repair speed of the drainage pipe at different test temperatures. After obtaining the first repair speed of the drainage pipe at different test temperatures, a function fitting can be performed on the first repair speed of the drainage pipe at different test temperatures to obtain a temperature parameter model corresponding to the preset parameter interval.

[0088] Exemplarily, when the drainage pipe is at the midpoint value of a preset parameter interval, after the first repair speed of the drainage pipe at different test temperatures is obtained through testing, any test temperature Ti and the first repair speed V1 i at the test temperature can be combined into a first data pair [T i, V1 i]. Wherein Ti represents the i-th test temperature, and V1 i represents the first repair speed at the i-th test temperature.

[0089] After all the first data pairs [Ti, V1 i] are obtained, each first data pair [T i, V1 i] can be fitted to obtain a temperature parameter model V1 n=a1*Tn where the damage parameter of the drainage pipe is within the preset parameter range. 2 +b1*Tn+c. The first data pair includes the test repair temperature and the first repair speed at the test repair temperature; V1 n represents the first repair speed at the test repair temperature Tn, and a1, b1 and c represent the temperature fitting parameters corresponding to the preset parameter interval.

[0090] In this way, for different preset parameter intervals, a temperature parameter model corresponding to the preset parameter interval can be obtained.

[0091] Similarly, for a preset parameter interval, when the drainage pipe is at the midpoint value of the preset parameter interval, the drainage pipe can be controlled to be at a preset temperature, and different test glue amounts can be used to repair the drainage pipe to measure the second repair speed of the drainage pipe at different test glue amounts. After obtaining the second repair speed of the drainage pipe at different test glue amounts, a function fitting can be performed on the second repair speed of the drainage pipe at different test glue amounts to obtain a glue parameter model corresponding to the preset parameter interval.

[0092] To further improve the repair efficiency of the drainage pipe, in some embodiments, the method further includes:

[0093] According to the temperature parameter model when the damage parameter of the drainage pipe is within a preset parameter range, determining the optimal repair temperature corresponding to the preset parameter range;

[0094] Determine that the damage parameter of the drainage pipe is within the preset parameter range, and obtain each second repair speed when the drainage pipe is repaired with each test glue amount at the optimal repair temperature;

[0095] According to each test glue amount and each second repair speed corresponding to each test glue amount, the glue parameter model in which the damage parameter of the drainage pipe is within the preset parameter range is obtained.

[0096] In some embodiments, after determining the temperature parameter models corresponding to each preset parameter interval through temperature testing, for a certain preset parameter interval, the test temperature corresponding to the fastest repair speed in the temperature parameter model corresponding to the preset parameter interval can be calculated as the optimal repair temperature corresponding to the preset parameter interval.

[0097] After obtaining the optimal repair temperature corresponding to each preset parameter interval, for a certain preset parameter interval, when the drainage pipe is at the midpoint value of the preset parameter interval, the drainage pipe can be controlled to be at the optimal repair temperature corresponding to the preset parameter interval, so that different test glue amounts are used to repair the drainage pipe at the optimal repair temperature to measure the second repair speed of the drainage pipe at different test glue amounts. After obtaining the second repair speed of the drainage pipe at different test glue amounts, the second repair speed of the drainage pipe at different test glue amounts can be fitted with a function to obtain a glue parameter model corresponding to the preset parameter interval.

[0098] Exemplarily, when the drainage pipe is at the midpoint value of a preset parameter interval, the temperature of the drainage pipe is adjusted to the optimal repair temperature corresponding to the preset parameter interval, and after the second repair speed of the drainage pipe under different glue amounts is obtained through testing, any test glue amount Xi and the first repair speed V2 i of the glue amount Xi can be combined into a second data pair [Xi, V2 i]. Where Xi represents the i-th test glue amount, and V2 i represents the second repair speed under the i-th test glue amount.

[0099] After all the second data pairs [Xi, V2 i] are obtained, each second data pair [Xi, V2 i] can be fitted to obtain the glue parameter model V2n=a2*ln(Xn) / Xn+b2 when the damage parameters of the drainage pipe are within the preset parameter range. Among them, the second data pair includes the test glue amount and the second repair speed under the test glue amount; V2n represents the second repair speed when the test glue amount is Xn, and a2 and b2 represent the glue amount fitting parameters corresponding to the preset parameter range.

[0100] Since the glue parameter model corresponding to a preset parameter interval is obtained by fitting the drainage pipe at the optimal repair temperature corresponding to the preset parameter interval using the test glue amount and the second repair speed, and when repairing the drainage pipe, the temperature of the drainage pipe will be adjusted to the optimal repair temperature, the glue parameter model can more accurately reflect the impact of the glue amount on the repair speed of the drainage pipe during the repair process, thereby improving the accuracy of the drainage pipe repair parameters subsequently determined using the temperature parameter model and the glue parameter model.

[0101] After obtaining the temperature parameter model and glue parameter model corresponding to each preset parameter interval, the temperature parameter model and glue parameter model corresponding to the current damage parameter can be determined according to the preset parameter interval in which the current damage parameter is located, and then the repair temperature with the fastest repair speed can be determined according to the functional relationship of the temperature parameter model, and the amount of glue with the fastest repair speed can be determined according to the functional relationship of the glue parameter model, and the repair temperature and amount of glue are used as the repair parameters of the drainage pipe to repair the drainage pipe.

[0102] The following is a description of the drainage pipe repair parameter determination device provided in the present application. The drainage pipe repair parameter determination device described below and the drainage pipe repair parameter determination method described above can refer to each other.

[0103] In one embodiment, if Figure 2 As shown, a device for determining repair parameters of a drainage pipe is provided, comprising:

[0104] The parameter model determination module 210 is used to determine each state parameter model corresponding to the current damage parameter of the drainage pipe according to the current damage parameter of the drainage pipe;

[0105] A state parameter determination module 220, for determining, according to a state parameter model, a state parameter that enables a repair speed in the state parameter model to reach a preset repair speed;

[0106] A repair parameter determination module 230, for determining a repair parameter of the drainage pipe according to each of the state parameters;

[0107] The state parameter model is one of a temperature parameter model representing the corresponding relationship between the repair temperature and the repair speed, and a glue parameter model representing the corresponding relationship between the glue amount and the repair speed.

[0108] By determining each state parameter model corresponding to the current damage parameter of the drainage pipe according to the current damage parameter, and determining the state parameter that makes the repair speed in the state parameter model reach the preset repair speed according to the state parameter model, so as to determine the repair parameter of the drainage pipe according to each state parameter, when repairing the drainage pipe, it is possible to select an appropriate repair parameter to repair the drainage pipe according to the damage condition of the drainage pipe, thereby improving the repair efficiency of the drainage pipe.

[0109] In one embodiment, the parameter model determination module 210 is further configured to:

[0110] Identify the pipeline image of the drainage pipeline and obtain the crack area in the pipeline image;

[0111] According to the area of ​​the crack region, the current damage parameter of the drainage pipe is obtained.

[0112] In one embodiment, the parameter model determination module 210 is further configured to:

[0113] Determining that the damage parameter of the drainage pipe is within a preset parameter range, and obtaining a first repair speed of the drainage pipe under each test repair temperature by using a preset amount of glue for repair;

[0114] According to each of the test repair temperatures and each of the first repair speeds at each of the test repair temperatures, the temperature parameter model in which the damage parameter of the drainage pipe is within the preset parameter range is obtained.

[0115] In one embodiment, the parameter model determination module 210 is specifically used to:

[0116] Obtaining a plurality of first data pairs according to each of the test repair temperatures and each of the first repair speeds at each of the test repair temperatures;

[0117] Fitting each of the first data pairs to obtain the temperature parameter model V1n=a1*Tn when the damage parameter of the drainage pipe is within the preset parameter range 2 +b1*Tn+c;

[0118] Wherein, the first data pair includes the test repair temperature and the first repair speed at the test repair temperature;

[0119] V1 n represents the first repair speed under the test repair temperature Tn, and a1, b1 and c represent the temperature fitting parameters corresponding to the preset parameter interval.

[0120] In one embodiment, the parameter model determination module 210 is further configured to:

[0121] According to the temperature parameter model when the damage parameter of the drainage pipe is within a preset parameter range, determining the optimal repair temperature corresponding to the preset parameter range;

[0122] Determine that the damage parameter of the drainage pipe is within the preset parameter range, and obtain each second repair speed when the drainage pipe is repaired with each test glue amount at the optimal repair temperature;

[0123] According to each test glue amount and each second repair speed corresponding to each test glue amount, the glue parameter model in which the damage parameter of the drainage pipe is within the preset parameter range is obtained.

[0124] In one embodiment, the parameter model determination module 210 is specifically used to:

[0125] Obtaining multiple groups of second data pairs according to each of the test glue amounts and each of the second repair speeds corresponding to each of the test glue amounts;

[0126] Fitting each of the second data pairs to obtain the glue parameter model V2n=a2*ln(Xn) / Xn+b2 in which the damage parameter of the drainage pipe is within the preset parameter range;

[0127] Wherein, the second data pair includes the test glue amount and the second repair speed corresponding to the test glue amount;

[0128] V2n represents the second repair speed when the test glue amount is Xn, and a2 and b2 represent the glue amount fitting parameters corresponding to the preset parameter range.

[0129] In one embodiment, the preset repair speed is a peak value of the repair speed in the state parameter model.

[0130] Figure 3 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 3 As shown, the electronic device may include: a processor 810, a communication interface 820, a memory 830 and a communication bus 840, wherein the processor 810, the communication interface 820 and the memory 830 communicate with each other via the communication bus 840. The processor 810 may call a computer program in the memory 830 to execute a method for determining repair parameters of a drainage pipe, for example, including:

[0131] According to the current damage parameters of the drainage pipe, determining each state parameter model corresponding to the current damage parameters;

[0132] According to the state parameter model, determining the state parameter that enables the repair speed in the state parameter model to reach the preset repair speed;

[0133] Determining the repair parameters of the drainage pipe according to each of the state parameters;

[0134] The state parameter model is one of a temperature parameter model representing the corresponding relationship between the repair temperature and the repair speed, and a glue parameter model representing the corresponding relationship between the glue amount and the repair speed.

[0135] In addition, the logic instructions in the above-mentioned memory 830 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art, and the computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0136] On the other hand, an embodiment of the present application further provides a storage medium, the storage medium includes a computer program, the computer program can be stored in a non-transitory computer-readable storage medium, when the computer program is executed by a processor, the computer can execute the method for determining the repair parameters of the drainage pipe provided in the above embodiments, for example, including:

[0137] According to the current damage parameters of the drainage pipe, determining each state parameter model corresponding to the current damage parameters;

[0138] According to the state parameter model, determining the state parameter that enables the repair speed in the state parameter model to reach the preset repair speed;

[0139] Determining the repair parameters of the drainage pipe according to each of the state parameters;

[0140] The state parameter model is one of a temperature parameter model representing the corresponding relationship between the repair temperature and the repair speed, and a glue parameter model representing the corresponding relationship between the glue amount and the repair speed.

[0141] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, i.e., they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative effort.

[0142] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0143] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for determining repair parameters of a drainage pipe, characterized in that: include: According to the current damage parameters of the drainage pipe, determining each state parameter model corresponding to the current damage parameters; According to the state parameter model, determining the state parameter that enables the repair speed in the state parameter model to reach the preset repair speed; Determining the repair parameters of the drainage pipe according to each of the state parameters; The state parameter model is one of a temperature parameter model representing the corresponding relationship between the repair temperature and the repair speed, and a glue parameter model representing the corresponding relationship between the glue amount and the repair speed.

2. The method according to claim 1, characterized in that Also includes: Identify the pipeline image of the drainage pipeline and obtain the crack area in the pipeline image; According to the area of ​​the crack region, the current damage parameter of the drainage pipe is obtained.

3. The method according to claim 1 or 2, characterized in that: Also includes: Determining that the damage parameter of the drainage pipe is within a preset parameter range, and obtaining a first repair speed of the drainage pipe under each test repair temperature by using a preset amount of glue for repair; According to each of the test repair temperatures and each of the first repair speeds at each of the test repair temperatures, the temperature parameter model in which the damage parameter of the drainage pipe is within the preset parameter range is obtained.

4. The method according to claim 3, characterized in that According to each of the test repair temperatures and each of the first repair speeds at each of the test repair temperatures, the temperature parameter model in the preset parameter range is obtained, including: Obtaining a plurality of first data pairs according to each of the test repair temperatures and each of the first repair speeds at each of the test repair temperatures; Fitting each of the first data pairs to obtain the temperature parameter model V1n=a1*Tn when the damage parameter of the drainage pipe is within the preset parameter range 2 +b1*Tn+c; Wherein, the first data pair includes the test repair temperature and the first repair speed at the test repair temperature; V1 n represents the first repair speed under the test repair temperature Tn, and a1, b1 and c represent the temperature fitting parameters corresponding to the preset parameter interval.

5. The method according to claim 3, characterized in that: Also includes: According to the temperature parameter model when the damage parameter of the drainage pipe is within a preset parameter range, determining the optimal repair temperature corresponding to the preset parameter range; Determine that the damage parameter of the drainage pipe is within the preset parameter range, and obtain each second repair speed when the drainage pipe is repaired with each test glue amount at the optimal repair temperature; According to each test glue amount and each second repair speed corresponding to each test glue amount, the glue parameter model in which the damage parameter of the drainage pipe is within the preset parameter range is obtained.

6. The method according to claim 5, characterized in that According to each test glue amount and each second repair speed corresponding to each test glue amount, the glue parameter model in which the damage parameter of the drainage pipe is within the preset parameter range is obtained, including: Obtaining multiple groups of second data pairs according to each of the test glue amounts and each of the second repair speeds corresponding to each of the test glue amounts; Fitting each of the second data pairs to obtain the glue parameter model V2n=a2*ln(Xn) / Xn+b2 in which the damage parameter of the drainage pipe is within the preset parameter range; Wherein, the second data pair includes the test glue amount and the second repair speed corresponding to the test glue amount; V2n represents the second repair speed when the test glue amount is Xn, and a2 and b2 represent the glue amount fitting parameters corresponding to the preset parameter range.

7. The method according to claim 1, characterized in that The preset repair speed is the peak value of the repair speed in the state parameter model.

8. A device for determining repair parameters of a drainage pipe, characterized in that: include: A parameter model determination module, used to determine each state parameter model corresponding to the current damage parameter of the drainage pipe according to the current damage parameter of the drainage pipe; A state parameter determination module, used to determine, according to a state parameter model, a state parameter that enables a repair speed in the state parameter model to reach a preset repair speed; A repair parameter determination module, used to determine the repair parameters of the drainage pipe according to each of the state parameters; The state parameter model is one of a temperature parameter model representing the corresponding relationship between the repair temperature and the repair speed, and a glue parameter model representing the corresponding relationship between the glue amount and the repair speed.

9. An electronic device comprising a processor and a memory storing a computer program, characterized in that: When the processor executes the computer program, the method for determining the repair parameters of the drainage pipe according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for determining repair parameters of a drainage pipe according to any one of claims 1 to 7 is implemented.

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