An intelligent detection and analysis method for sealing of sewage treatment tanks

Abstract

The invention relates to the field of chemical industry, and specifically to an intelligent detection and analysis method for the sealing of a sewage treatment tank, comprising the following steps: S1. soil moisture detection; S2. soil moisture analysis; S3. pressure detection; S4. pressure analysis; S5. water level analysis; S6. appearance data acquisition; S7. appearance data analysis; S8. tank body evaluation analysis; S9. leakage risk analysis. The invention determines whether a sewage treatment tank has leakage possibility according to soil moisture, and then performs pressure analysis on the sewage treatment tank to obtain pressure uniformity, monitors the water level at each time point in the sewage treatment tank through a water level sensor, obtains the water level fluctuation degree, obtains a tank body evaluation coefficient of the sewage treatment tank by obtaining a three-dimensional image of the sewage treatment tank body and combining the appearance qualification degree, finally comprehensively analyzes the leakage risk index of the sewage treatment tank, performs secondary verification on the leakage of the sewage treatment tank, and avoids the adverse effects of the leakage on the environment.

Description

Technical Field

[0001] The invention relates to the field of chemical industry, and in particular to an intelligent detection and analysis method for the sealing of a sewage treatment tank. Background Art

[0002] The sealing of sewage treatment tanks is of vital importance in the field of sewage treatment. Poor sealing may lead to serious consequences such as sewage leakage, odor diffusion and environmental pollution. Therefore, ensuring the sealing of sewage treatment tanks is of great significance to ensuring environmental safety, protecting public health and promoting sustainable development.

[0003] In the sewage treatment process, sewage treatment tanks usually carry out functions such as wastewater storage, treatment and discharge. The sealing performance not only directly affects the stability and quality of sewage treatment effects, but is also closely related to the safe operation of equipment and environmental protection. Good sealing performance can effectively prevent sewage leakage and avoid the leakage of harmful substances, ensure the treatment process meets the standards, and ensure that the surrounding environment is not polluted.

[0004] However, due to the complex working environment of the sewage treatment tank, it is often easily damaged by factors such as chemical corrosion, mechanical stress, temperature changes, etc. Therefore, evaluating and monitoring the sealing of the sewage treatment tank and promptly discovering and dealing with sealing problems are important measures to ensure the normal operation of the equipment and reduce the risk of environmental pollution.

[0005] The patent name is a technical solution published in a Chinese patent entitled "A method and device for detecting the sealing of a tank body" (patent number 202011068926.6). This solution immerses the tank body at the end to be detected in an indicator liquid and applies pressure. The sealing is determined by the internal indicator mark. The entire sealing interface can be inspected to achieve comprehensive monitoring and effectively avoid missed detections. However, there are still some shortcomings, which are specifically manifested in the following aspects: 1. During the implementation of the detection process, the tank body is affected by the indicator liquid and pressure, which may cause damage to the tank body. However, the solution does not involve the detection of the tank body, which may result in failure to discover problems with the tank body itself, such as potential leaks, cracks, wear, etc., which is not conducive to the long-term and reliable operation of the equipment.

[0006] Second, this plan only tests the sealing of the tank without considering the leakage. Although high sealing can effectively reduce the possibility of leakage, it cannot completely eliminate the risk of leakage, which can easily lead to missed detection of leakage problems, which may cause chemicals or harmful substances to leak into the environment, causing environmental pollution and affecting the health of the surrounding ecosystem. Summary of the invention

[0007] In order to overcome the shortcomings of the background technology, an embodiment of the present invention provides an intelligent detection and analysis method for the sealing of a sewage treatment tank, which can effectively solve the problems involved in the above-mentioned background technology.

[0008] The purpose of the present invention can be achieved through the following technical solutions: a method for intelligent detection and analysis of the sealing of a sewage treatment tank, the method comprising the following steps: S1. Soil moisture detection: The soil moisture of each inner circle measurement point and each outer circle measurement point at each time point is detected by humidity sensors arranged around the sewage treatment tank.

[0009] S2. Soil moisture analysis: Based on the soil moisture analysis of each inner circle measurement point and each outer circle measurement point at each time point, the degree of soil moisture anomaly is obtained, and then it is determined whether there is a possibility of leakage in the sewage treatment tank and a secondary verification is performed.

[0010] S3. Pressure detection: The pressure of each monitoring point inside and outside the sewage treatment tank at each time point is detected by installing pressure sensors inside and outside the sewage treatment tank.

[0011] S4. Pressure analysis: The pressure level of the sewage treatment tank is obtained based on the pressure analysis of each monitoring point inside and outside the sewage treatment tank at each time point.

[0012] S5. Water level analysis: The water level in the sewage treatment tank at each time point is monitored by a water level sensor, and the degree of water level fluctuation in the sewage treatment tank is analyzed.

[0013] S6. Acquisition of appearance data: Acquisition of appearance data of the sewage treatment tank, including the degree of surface cracking and deformation.

[0014] S7. Appearance data analysis: The appearance qualification degree of the sewage treatment tank is obtained based on the appearance data of the sewage treatment tank.

[0015] S8. Tank body evaluation analysis: The three-dimensional image of the sewage treatment tank body is obtained through CT scanning, and the number and area of ​​damaged parts are extracted from it. Then, the tank body evaluation coefficient of the sewage treatment tank is obtained in combination with the appearance qualification of the sewage treatment tank.

[0016] S9. Leakage risk analysis: The leakage risk index of the sewage treatment tank is obtained through comprehensive analysis of the pressure level, water level fluctuation level and tank evaluation coefficient of the sewage treatment tank, thereby verifying whether the sewage treatment tank is leaking.

[0017] Preferably, the specific analysis method of the soil moisture detection is: taking the sewage treatment tank as the center, and making concentric circles with two different distances as the radius, thereby constructing a soil moisture detection area at the location of the sewage treatment tank, which is recorded as a soil moisture detection inner circle and a soil moisture detection outer circle, and arbitrarily arrange a number of equidistant measurement points in the soil moisture detection inner circle and the soil moisture detection outer circle, respectively, which are recorded as each inner circle measurement point and each outer circle measurement point, and taking a number of time points at a set time interval, and detecting the soil moisture of each inner circle measurement point and each outer circle measurement point at each time point by a humidity sensor, which is recorded as , ,in Indicates The number of the time point, , Indicates The number of the measuring point, .

[0018] Preferably, the specific analysis method of the soil moisture analysis is: the first step is to read the soil moisture of each inner circle measurement point and each outer circle measurement point at each time point , , through the formula , Get the average soil moisture of the inner and outer circles at each time point , , represents the number of measurement points and substitutes it into the formula Get the soil moisture difference between the inner circle and the outer circle at each time point .

[0019] In the second step, the average soil moisture difference between the inner circle and the outer circle at each time point is calculated to obtain the average soil moisture difference between the inner circle and the outer circle, which is recorded as , substituting it into the formula Get the abnormal degree of soil moisture , It represents the number of time points, which means comparing it with the preset soil moisture anomaly threshold. If the soil moisture anomaly is greater than or equal to the preset soil moisture anomaly threshold, it means that the soil moisture near the sewage treatment tank is abnormal and there may be a leak. Feedback is given and a secondary verification is performed. If the soil moisture anomaly is less than the preset soil moisture anomaly threshold, it means that the soil moisture near the sewage treatment tank is normal and no leak has occurred yet.

[0020] Preferably, the specific analysis method of the pressure detection is: taking a number of equally spaced monitoring points inside and outside the sewage treatment tank according to the set interval, and detecting the pressure of each monitoring point inside and outside the sewage treatment tank at each time point through the pressure sensors installed inside and outside the sewage treatment tank, which is recorded as , ,in Indicates The number of the monitoring point, .

[0021] Preferably, the specific analysis method of the pressure analysis is: the first step is to read the pressure of each monitoring point inside and outside the sewage treatment tank at each time point , By taking the average pressure of each monitoring point inside and outside the sewage treatment tank at each time point, the average pressure inside and outside the sewage treatment tank at each time point is obtained, which is recorded as , , substituting it into the formula , Get the pressure uniformity inside and outside the sewage treatment tank , , represents the number of time points, Indicates the number of monitoring points.

[0022] The second step is to substitute the pressure uniformity inside and outside the sewage treatment tank into the formula Get the pressure level of the sewage treatment tank , Indicates the set reference pressure, They represent the set pressure uniformity and the weight factor of the average pressure respectively. is the number of time points.

[0023] Preferably, the specific analysis method of the water level analysis is: using a water level sensor to monitor the water level at each time point in the sewage treatment tank, recorded as , and the average water level in the sewage treatment tank is obtained by averaging the water level at each time point in the sewage treatment tank, which is recorded as , substituting it into the formula Get the water level fluctuation degree of the sewage treatment tank , Indicates the number of time points.

[0024] Preferably, the specific analysis method for obtaining the appearance data is as follows: in the first step, a number of equally spaced test points are randomly selected on the surface of the sewage treatment tank, and an ultrasonic probe is used to send ultrasonic waves of equal intensity to each test point of the sewage treatment tank, and the intensity of the transmitted ultrasonic wave is recorded as , and record the ultrasonic echo signal strength received by the ultrasonic probe, recorded as , Indicates The number of the test point, , through the formula Get the ultrasonic intensity difference of each test point in the sewage treatment tank , and compare them with the preset ultrasonic intensity difference range. If the ultrasonic intensity difference of a test point is not within the preset ultrasonic intensity difference range, it means that the ultrasonic intensity difference of the test point is too large, and there may be cracking. The test point is recorded as a cracking test point, and the number of all cracking test points of the sewage treatment tank is counted and recorded as , and the number of test points of the sewage treatment tank is recorded as , through the formula Get the surface cracking degree of the sewage treatment tank .

[0025] In the second step, the sewage treatment tank is scanned by a laser scanner to generate a surface image of the sewage treatment tank, and 3D imaging is performed on the sewage treatment tank according to the surface image of the sewage treatment tank, which is recorded as the 3D image of the sewage treatment tank. At the same time, the factory image of the sewage treatment tank is extracted from the management database, and the factory image of the sewage treatment tank is processed according to the method of generating the 3D image of the sewage treatment tank to obtain the factory 3D image of the sewage treatment tank. The 3D image of the sewage treatment tank is overlapped with the factory 3D image of the sewage treatment tank to obtain the image overlap volume of the sewage treatment tank, which is recorded as At the same time, the outgoing volume of the sewage treatment tank is extracted from the outgoing 3D image of the sewage treatment tank, recorded as , through the formula Get the surface deformation degree of the sewage treatment tank .

[0026] Preferably, the specific analysis method of the appearance data analysis is: respectively reading the surface cracking degree of the sewage treatment tank , surface deformation , substituting it into the formula Get the appearance qualification of the sewage treatment tank ,in They represent the weight factors of the set surface cracking degree and surface deformation degree respectively. is a natural constant.

[0027] Preferably, the specific analysis method of the tank body evaluation and analysis is as follows: in the first step, a CT scanner is rotated around the tank body of the sewage treatment tank, and X-rays are emitted at the same time to obtain transmission data of the sewage treatment tank, and a three-dimensional image of the interior of the tank body of the sewage treatment tank is reconstructed based on this, which is recorded as the three-dimensional image of the tank body of the sewage treatment tank. The edge contours of the damaged edges at various locations are extracted from the three-dimensional image of the tank body of the sewage treatment tank using edge detection technology, and their areas are calculated. The number of damaged locations in the three-dimensional image of the tank body of the sewage treatment tank and the area of ​​each damaged location are recorded as , Indicates The number of the damaged .

[0028] The second step is to read the appearance qualification of the sewage treatment tank , substituting it into the formula Get the tank evaluation coefficient of the sewage treatment tank ,in They represent the maximum allowable number of damaged parts and the maximum allowable area of ​​damaged parts. They represent the weight factors of the number and area of ​​the damaged parts respectively. They respectively represent the weight factors of the set tank damage and appearance acceptance degree.

[0029] Preferably, the specific analysis method of the leakage risk analysis is: reading the pressure level of the sewage treatment tank respectively , Water level fluctuation , tank evaluation coefficient , substituting it into the formula Get the leakage risk index of the sewage treatment tank ,in They respectively represent the set pressure level, water level fluctuation level, and weight factors of the tank evaluation coefficient. The leakage risk index of the sewage treatment tank is compared with the preset leakage risk index threshold. If the leakage risk index of the sewage treatment tank is greater than or equal to the preset leakage risk index threshold, it means that the sewage treatment tank is leaking, and feedback is given; if the leakage risk index of the sewage treatment tank is less than the preset leakage risk index threshold, it means that there is no leakage in the sewage treatment tank.

[0030] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: 1. The present invention determines whether a sewage treatment tank is leaking by detecting the soil moisture in the inner and outer circles, and can comprehensively consider the soil moisture conditions in different areas around the sewage treatment tank to detect potential leakage in time.

[0031] 2. The present invention can timely detect abnormal pressure and issue early warning by analyzing the pressure uniformity of the sewage treatment tank, which helps to take effective measures before leakage occurs and reduce the risk of leakage.

[0032] 3. The present invention obtains the degree of water level fluctuation in the sewage treatment tank by monitoring the water level at each time point in the sewage treatment tank. The change in water level can directly reflect the increase or decrease of liquid in the tank, helping to prevent the leakage problem from further expanding.

[0033] 4. The present invention obtains a three-dimensional image of the sewage treatment tank body and obtains the tank body evaluation coefficient of the sewage treatment tank in combination with the appearance qualification analysis of the sewage treatment tank, taking into account the comprehensive situation of the internal structure and the external surface to ensure the accuracy and reliability of the leakage detection results. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0035] Figure 1 It is a schematic diagram of the method flow of the present invention. DETAILED DESCRIPTION

[0036] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0037] See also Figure 1 As shown, the present invention provides an intelligent detection and analysis method for the sealing of a sewage treatment tank, the method comprising the following steps: S1. Soil moisture detection: The soil moisture of each inner circle measurement point and each outer circle measurement point at each time point is detected by using humidity sensors arranged around the sewage treatment tank.

[0038] The specific analysis method of soil moisture detection is as follows: taking the sewage treatment tank as the center of the circle, and making concentric circles with two different distances as the radius, thereby constructing a soil moisture detection area where the sewage treatment tank is located, which is recorded as a soil moisture detection inner circle and a soil moisture detection outer circle, and arbitrarily arrange a number of equidistant measurement points in the soil moisture detection inner circle and the soil moisture detection outer circle, respectively, which are recorded as each inner circle measurement point and each outer circle measurement point, and taking a number of time points at a set time interval, and detecting the soil moisture of each inner circle measurement point and each outer circle measurement point at each time point through a humidity sensor, which is recorded as , ,in Indicates The number of the time point, , Indicates The number of the measuring point, ; By monitoring soil moisture, it is possible to indirectly determine whether the soil around the sewage treatment tank is affected by the leaked sewage and detect leakage problems in a timely manner.

[0039] S2. Soil moisture analysis: Based on the soil moisture analysis of each inner circle measurement point and each outer circle measurement point at each time point, the degree of soil moisture anomaly is obtained, and then it is determined whether there is a possibility of leakage in the sewage treatment tank and a secondary verification is performed.

[0040] The specific analysis method of the soil moisture analysis is as follows: the first step is to read the soil moisture of each inner circle measurement point and each outer circle measurement point at each time point. , , through the formula , Get the average soil moisture of the inner and outer circles at each time point , , represents the number of measurement points and substitutes it into the formula Get the soil moisture difference between the inner circle and the outer circle at each time point ; By calculating the difference in average soil moisture between the inner and outer circles, the trend of soil moisture changes can be reflected, which helps to monitor the development trend of potential leakage.

[0041] In the second step, the average soil moisture difference between the inner circle and the outer circle at each time point is calculated to obtain the average soil moisture difference between the inner circle and the outer circle, which is recorded as , substituting it into the formula Get the abnormal degree of soil moisture , It represents the number of time points, which means comparing it with the preset soil moisture anomaly threshold. If the soil moisture anomaly is greater than or equal to the preset soil moisture anomaly threshold, it means that the soil moisture near the sewage treatment tank is abnormal, and there may be a leak. Feedback is given and a secondary verification is performed. If the soil moisture anomaly is less than the preset soil moisture anomaly threshold, it means that the soil moisture near the sewage treatment tank is normal, and no leak has occurred yet. By comparing the current soil moisture difference with the preset anomaly threshold, the abnormal situation can be discovered in time to avoid the leakage problem existing for a long time without being discovered.

[0042] S3. Pressure detection: The pressure of each monitoring point inside and outside the sewage treatment tank at each time point is detected by installing pressure sensors inside and outside the sewage treatment tank.

[0043] The specific analysis method of the pressure detection is: a number of monitoring points with equal distances are taken inside and outside the sewage treatment tank according to the set intervals, and the pressure of each monitoring point inside and outside the sewage treatment tank at each time point is detected by the pressure sensors installed inside and outside the sewage treatment tank, which is recorded as , ,in Indicates The number of the monitoring point, By setting monitoring points at equal distances inside and outside and acquiring pressure data at different locations, multi-dimensional monitoring of the internal and external pressures of the sewage treatment tank can be achieved, which helps to fully understand the pressure conditions of the sewage treatment tank.

[0044] S4. Pressure analysis: The pressure level of the sewage treatment tank is obtained based on the pressure analysis of each monitoring point inside and outside the sewage treatment tank at each time point.

[0045] The specific analysis method of the pressure analysis is as follows: the first step is to read the pressure of each monitoring point inside and outside the sewage treatment tank at each time point. , By taking the average pressure of each monitoring point inside and outside the sewage treatment tank at each time point, the average pressure inside and outside the sewage treatment tank at each time point is obtained, which is recorded as , , substituting it into the formula , Get the pressure uniformity inside and outside the sewage treatment tank , , represents the number of time points, Indicates the number of monitoring points; can help timely discover abnormal pressure distribution in sewage treatment tanks, and facilitate rapid adjustment and processing.

[0046] The second step is to substitute the pressure uniformity inside and outside the sewage treatment tank into the formula Get the pressure level of the sewage treatment tank , Indicates the set reference pressure, They represent the set pressure uniformity and the weight factor of the average pressure respectively. is the number of time points; by analyzing the pressure level, it is possible to promptly warn whether the sewage treatment tank has excessive pressure, and then determine whether there may be a leak, which helps to take emergency measures to prevent accidents.

[0047] It should be noted that, in one embodiment, It can be set to 0.5. It can be set to 0.5. The uniformity of internal and external pressure is directly related to the safety of the equipment. Uneven pressure may cause damage and leakage of the equipment structure, increasing safety risks. The size of internal and external pressure also has an important impact on the bearing capacity and stability of the equipment. Based on safety considerations, the weights corresponding to pressure uniformity and pressure size are equal.

[0048] S5. Water level analysis: The water level in the sewage treatment tank at each time point is monitored by a water level sensor, and the degree of water level fluctuation in the sewage treatment tank is analyzed.

[0049] The specific analysis method of the water level analysis is: using a water level sensor to monitor the water level at each time point in the sewage treatment tank, recorded as , and the average water level in the sewage treatment tank is obtained by averaging the water level at each time point in the sewage treatment tank, which is recorded as , substituting it into the formula Get the water level fluctuation degree of the sewage treatment tank , Indicates the number of time points; by monitoring the water level changes in the sewage treatment tank, unreasonable water level fluctuations can be discovered in time, and possible leakages can be warned, effectively avoiding environmental pollution and safety hazards caused by sewage leakage.

[0050] S6. Acquisition of appearance data: Acquisition of appearance data of the sewage treatment tank, including the degree of surface cracking and deformation.

[0051] The specific analysis method for obtaining the appearance data is as follows: In the first step, a number of equally spaced test points are randomly selected on the surface of the sewage treatment tank, and ultrasonic waves of equal intensity are sent to each test point of the sewage treatment tank using an ultrasonic probe, and the intensity of the sent ultrasonic wave is recorded as , and record the ultrasonic echo signal strength received by the ultrasonic probe, recorded as , Indicates The number of the test point, , through the formula Get the ultrasonic intensity difference of each test point in the sewage treatment tank , and compare them with the preset ultrasonic intensity difference range. If the ultrasonic intensity difference of a test point is not within the preset ultrasonic intensity difference range, it means that the ultrasonic intensity difference of the test point is too large, and there may be cracking. The test point is recorded as a cracking test point, and the number of all cracking test points of the sewage treatment tank is counted and recorded as , and the number of test points of the sewage treatment tank is recorded as , through the formula Get the surface cracking degree of the sewage treatment tank ; Timely detection of cracks on the surface of sewage treatment tanks can help prevent possible leakage accidents and reduce safety risks.

[0052] In the second step, the sewage treatment tank is scanned by a laser scanner to generate a surface image of the sewage treatment tank, and 3D imaging is performed on the sewage treatment tank according to the surface image of the sewage treatment tank, which is recorded as the 3D image of the sewage treatment tank. At the same time, the factory image of the sewage treatment tank is extracted from the management database, and the factory image of the sewage treatment tank is processed according to the method of generating the 3D image of the sewage treatment tank to obtain the factory 3D image of the sewage treatment tank. The 3D image of the sewage treatment tank is overlapped with the factory 3D image of the sewage treatment tank to obtain the image overlap volume of the sewage treatment tank, which is recorded as At the same time, the outgoing volume of the sewage treatment tank is extracted from the outgoing 3D image of the sewage treatment tank, recorded as , through the formula Get the surface deformation degree of the sewage treatment tank Timely detection of surface deformation of sewage treatment tanks can help prevent possible leakage problems and equipment safety hazards, and help take maintenance measures in advance to ensure operation.

[0053] S7. Appearance data analysis: The appearance qualification degree of the sewage treatment tank is obtained based on the appearance data of the sewage treatment tank.

[0054] The specific analysis method of the appearance data analysis is: reading the surface cracking degree of the sewage treatment tank respectively , surface deformation , substituting it into the formula Get the appearance qualification of the sewage treatment tank ,in They represent the weight factors of the set surface cracking degree and surface deformation degree respectively. It is a natural constant; accurately evaluating the appearance qualification of sewage treatment tanks will help reduce the risk of leakage, improve the safety and stability of equipment operation, and ensure production and environmental safety.

[0055] It should be noted that, in one embodiment, It can be set to 0.5. It can be set to 0.5. The degree of surface cracking may cause the structural strength of the sewage treatment tank to decrease, posing a safety hazard, while the degree of surface deformation may affect the normal operation of the equipment. Both cracking and deformation will affect the use function and effect of the sewage treatment tank and affect the long-term stable operation of the equipment. Therefore, the weights corresponding to the degree of surface cracking and the degree of surface deformation are equal.

[0056] S8. Tank body evaluation analysis: The three-dimensional image of the sewage treatment tank body is obtained through CT scanning, and the number and area of ​​damaged parts are extracted from it. Then, combined with the appearance qualification of the sewage treatment tank, the tank body evaluation coefficient of the sewage treatment tank is obtained, and it is determined whether there is a risk of leakage.

[0057] The specific analysis method of the tank body evaluation and analysis is as follows: in the first step, the CT scanner is rotated around the sewage treatment tank body, and X-rays are emitted at the same time to obtain the transmission data of the sewage treatment tank, and a three-dimensional image of the interior of the sewage treatment tank body is reconstructed based on this, which is recorded as the three-dimensional image of the sewage treatment tank body. The edge detection technology is used to extract the edge contours of each damaged part from the three-dimensional image of the sewage treatment tank body, and its area is calculated. The number of damaged parts in the three-dimensional image of the sewage treatment tank body and the area of ​​each damaged part are recorded as , Indicates The number of the damaged ; Timely discovery of damage can prevent possible sewage leakage problems in advance, ensure the safe operation of equipment, and reduce the risk of accidents.

[0058] The second step is to read the appearance qualification of the sewage treatment tank , substituting it into the formula Get the tank evaluation coefficient of the sewage treatment tank ,in They represent the maximum allowable number of damaged parts and the maximum allowable area of ​​damaged parts. They represent the weight factors of the number and area of ​​the damaged parts respectively. They respectively represent the weight factors of the set tank damage and appearance qualification degree; intuitively understanding the degree of damage of the sewage treatment tank can help evaluate the safety of the equipment, identify leakage risks, and help take timely measures to avoid potential safety problems.

[0059] It should be noted that, in one embodiment, It can be set to 0.5. It can be set to 0.5. The number of damaged parts and the damaged area may affect the structural integrity and strength of the sewage treatment tank. Larger areas of damage may aggravate corrosion, leakage and other problems of the tank body. More damaged parts will also increase the instability of the structure. Therefore, the weights corresponding to the number of damaged parts and the damaged area are equal.

[0060] It should be noted that, in one embodiment, It can be set to 0.6. It can be set to 0.4. Internal damage may directly affect the operating efficiency and treatment effect of the sewage treatment tank, have a significant impact on the functionality of the equipment, and may bring potential safety hazards to the equipment, such as leakage, structural damage, etc., affecting the safety of the equipment. Therefore, the weight corresponding to internal damage is relatively large.

[0061] S9. Leakage risk analysis: The leakage risk index of the sewage treatment tank is obtained through comprehensive analysis of the pressure level, water level fluctuation level and tank evaluation coefficient of the sewage treatment tank, thereby verifying whether the sewage treatment tank is leaking.

[0062] The specific analysis method of the leakage risk analysis is: reading the pressure level of the sewage treatment tank respectively , Water level fluctuation , tank evaluation coefficient , substituting it into the formula Get the leakage risk index of the sewage treatment tank ,in The weight factors respectively represent the set pressure degree, water level fluctuation degree and tank evaluation coefficient, and compare the leakage risk index of the sewage treatment tank with the preset leakage risk index threshold. If the leakage risk index of the sewage treatment tank is greater than or equal to the preset leakage risk index threshold, it means that there is a leakage in the sewage treatment tank, and feedback is given; if the leakage risk index of the sewage treatment tank is less than the preset leakage risk index threshold, it means that there is no leakage in the sewage treatment tank. Through secondary verification of the leakage situation of the sewage treatment tank, the accuracy and timeliness of the leakage risk monitoring of the sewage treatment tank are improved, which helps to prevent leakage accidents and ensure the safety of the environment and personnel.

[0063] The present invention determines whether there is a possibility of leakage in a sewage treatment tank based on soil moisture analysis, and then obtains the pressure uniformity of the sewage treatment tank based on the pressure analysis of the sewage treatment tank. The water level at each time point in the sewage treatment tank is monitored by a water level sensor to obtain the degree of water level fluctuation. The tank body evaluation coefficient of the sewage treatment tank is obtained by acquiring a three-dimensional image of the sewage treatment tank body and combining the qualified degree of appearance. Finally, the leakage risk index of the sewage treatment tank is comprehensively analyzed, and the leakage of the sewage treatment tank is verified twice. Abnormal situations can be discovered in time and early warnings can be issued to avoid adverse effects of leakage on the environment.

[0064] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations on the present invention. A person skilled in the art may make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention and they are still covered by the protection scope of the present invention.

Claims

1. A method for intelligent detection and analysis of the sealing performance of a sewage treatment tank, characterized in that: The steps include: S1. Soil moisture detection: The soil moisture of each inner circle measurement point and each outer circle measurement point at each time point is detected by humidity sensors arranged around the sewage treatment tank; S2. Soil moisture analysis: The abnormal degree of soil moisture is obtained by analyzing the soil moisture of each inner circle measurement point and each outer circle measurement point at each time point, and then the possibility of leakage in the sewage treatment tank is determined and secondary verification is performed; S3. Pressure detection: The pressure of each monitoring point inside and outside the sewage treatment tank is detected at each time point through the pressure sensors installed inside and outside the sewage treatment tank; S4. Pressure analysis: The pressure level of the sewage treatment tank is obtained by analyzing the pressure of each monitoring point inside and outside the sewage treatment tank at each time point; S5. Water level analysis: The water level in the sewage treatment tank is monitored at each time point by a water level sensor, and the degree of water level fluctuation in the sewage treatment tank is analyzed; S6. Appearance data acquisition: Acquire the appearance data of the sewage treatment tank, including the degree of surface cracking and deformation; S7. Appearance data analysis: according to the appearance data of the sewage treatment tank, the appearance qualification of the sewage treatment tank is obtained; S8. Tank evaluation analysis: Obtain a three-dimensional image of the sewage treatment tank through CT scanning, extract the number and area of ​​damaged parts, and then obtain the tank evaluation coefficient of the sewage treatment tank in combination with the appearance qualification of the sewage treatment tank; S9. Leakage risk analysis: The leakage risk index of the sewage treatment tank is obtained through comprehensive analysis of the pressure level, water level fluctuation level and tank evaluation coefficient of the sewage treatment tank, so as to verify whether the sewage treatment tank is leaking; The specific analysis method of the leakage risk analysis is: Read the pressure level of the sewage treatment tank separately , Water level fluctuation , tank evaluation coefficient , substituting it into the formula Get the leakage risk index of the sewage treatment tank ,in They respectively represent the set pressure level, water level fluctuation level, and weight factors of the tank evaluation coefficient. The leakage risk index of the sewage treatment tank is compared with the preset leakage risk index threshold. If the leakage risk index of the sewage treatment tank is greater than or equal to the preset leakage risk index threshold, it means that the sewage treatment tank is leaking, and feedback is given; if the leakage risk index of the sewage treatment tank is less than the preset leakage risk index threshold, it means that there is no leakage in the sewage treatment tank.

2. According to claim 1, a sewage treatment tank sealing intelligent detection and analysis method is characterized by: The specific analysis method of the soil moisture detection is: Taking the sewage treatment tank as the center, concentric circles are drawn with two different distances as the radius, thereby constructing the soil moisture detection area where the sewage treatment tank is located, which is recorded as the soil moisture detection inner circle and the soil moisture detection outer circle, and a number of equidistant measurement points are arbitrarily arranged in the soil moisture detection inner circle and the soil moisture detection outer circle, respectively, which are recorded as each inner circle measurement point and each outer circle measurement point. Several time points are taken according to the set time interval, and the soil moisture of each inner circle measurement point and each outer circle measurement point at each time point is detected by the humidity sensor, which is recorded as , ,in Indicates The number of the time point, , Indicates The number of the measuring point, .

3. The method for intelligent detection and analysis of the sealing performance of a sewage treatment tank according to claim 2 is characterized by: The specific analysis method of the soil moisture analysis is: The first step is to read the soil moisture at each inner circle measurement point and each outer circle measurement point at each time point. , , through the formula , Get the average soil moisture of the inner and outer circles at each time point , , represents the number of measurement points and substitutes it into the formula Get the soil moisture difference between the inner circle and the outer circle at each time point ; In the second step, the average soil moisture difference between the inner circle and the outer circle at each time point is calculated to obtain the average soil moisture difference between the inner circle and the outer circle, which is recorded as , substituting it into the formula Get the abnormal degree of soil moisture , It represents the number of time points, which means comparing it with the preset soil moisture anomaly threshold. If the soil moisture anomaly is greater than or equal to the preset soil moisture anomaly threshold, it means that the soil moisture near the sewage treatment tank is abnormal and there may be a leak. Feedback is given and a secondary verification is performed. If the soil moisture anomaly is less than the preset soil moisture anomaly threshold, it means that the soil moisture near the sewage treatment tank is normal and no leak has occurred yet.

4. The method for intelligent detection and analysis of the sealing performance of a sewage treatment tank according to claim 1 is characterized by: The specific analysis method of the pressure detection is: According to the set interval, several monitoring points with equal distance are selected inside and outside the sewage treatment tank, and the pressure sensors installed inside and outside the sewage treatment tank are used to detect the pressure of each monitoring point inside and outside the sewage treatment tank at each time point, which is recorded as , ,in Indicates The number of the monitoring point, .

5. The method for intelligent detection and analysis of the sealing performance of a sewage treatment tank according to claim 4 is characterized by: The specific analysis method of the pressure analysis is: The first step is to read the pressure of each monitoring point inside and outside the sewage treatment tank at each time point , By taking the average pressure of each monitoring point inside and outside the sewage treatment tank at each time point, the average pressure inside and outside the sewage treatment tank at each time point is obtained, which is recorded as , , substituting it into the formula , Get the pressure uniformity inside and outside the sewage treatment tank , , represents the number of time points, Indicates the number of monitoring points; The second step is to substitute the pressure uniformity inside and outside the sewage treatment tank into the formula Get the pressure level of the sewage treatment tank , Indicates the set reference pressure, They represent the set pressure uniformity and the weight factor of the average pressure respectively. is the number of time points.

6. The method for intelligent detection and analysis of the sealing performance of a sewage treatment tank according to claim 1 is characterized by: The specific analysis method of the water level analysis is: The water level sensor is used to monitor the water level at each time point in the sewage treatment tank, which is recorded as , and the average water level in the sewage treatment tank is obtained by averaging the water level at each time point in the sewage treatment tank, which is recorded as , substituting it into the formula Get the water level fluctuation degree of the sewage treatment tank , Indicates the number of time points.

7. The method for intelligent detection and analysis of the sealing performance of a sewage treatment tank according to claim 1 is characterized by: The specific analysis method for acquiring the appearance data is as follows: In the first step, a number of equally spaced test points are randomly selected on the surface of the sewage treatment tank, and ultrasonic probes are used to send ultrasonic waves of equal intensity to each test point in the sewage treatment tank. The intensity of the transmitted ultrasonic wave is recorded as , and record the ultrasonic echo signal strength received by the ultrasonic probe, recorded as , Indicates The number of the test point, , through the formula Get the ultrasonic intensity difference of each test point in the sewage treatment tank , and compare them with the preset ultrasonic intensity difference range. If the ultrasonic intensity difference of a test point is not within the preset ultrasonic intensity difference range, it means that the ultrasonic intensity difference of the test point is too large, and there may be cracking. The test point is recorded as a cracking test point, and the number of all cracking test points of the sewage treatment tank is counted and recorded as , and the number of test points of the sewage treatment tank is recorded as , through the formula Get the surface cracking degree of the sewage treatment tank ; In the second step, the sewage treatment tank is scanned by a laser scanner to generate a surface image of the sewage treatment tank, and 3D imaging is performed on the sewage treatment tank according to the surface image of the sewage treatment tank, which is recorded as the 3D image of the sewage treatment tank. At the same time, the factory image of the sewage treatment tank is extracted from the management database, and the factory image of the sewage treatment tank is processed according to the method of generating the 3D image of the sewage treatment tank to obtain the factory 3D image of the sewage treatment tank. The 3D image of the sewage treatment tank is overlapped with the factory 3D image of the sewage treatment tank to obtain the image overlap volume of the sewage treatment tank, which is recorded as At the same time, the outgoing volume of the sewage treatment tank is extracted from the outgoing 3D image of the sewage treatment tank, recorded as , through the formula Get the surface deformation degree of the sewage treatment tank .

8. The method for intelligent detection and analysis of the sealing performance of a sewage treatment tank according to claim 7 is characterized by: The specific analysis method of the appearance data analysis is: Read the surface cracking degree of the sewage treatment tank separately , surface deformation degree , substituting it into the formula Get the appearance qualification of the sewage treatment tank ,in They represent the weight factors of the set surface cracking degree and surface deformation degree respectively. is a natural constant.

9. The method for intelligent detection and analysis of the sealing performance of a sewage treatment tank according to claim 8, characterized in that: The specific analysis method of the tank evaluation analysis is: In the first step, the CT scanner is rotated around the sewage treatment tank body, and X-rays are emitted to obtain the transmission data of the sewage treatment tank, and a three-dimensional image of the interior of the sewage treatment tank body is reconstructed, which is recorded as the three-dimensional image of the sewage treatment tank body. The edge detection technology is used to extract the edge contours of each damaged part from the three-dimensional image of the sewage treatment tank body, and its area is calculated. The number of damaged parts in the three-dimensional image of the sewage treatment tank body and the area of ​​each damaged part are recorded as , Indicates The number of the damaged ; The second step is to read the appearance qualification of the sewage treatment tank , substituting it into the formula Get the tank evaluation coefficient of the sewage treatment tank ,in They represent the maximum allowable number of damaged parts and the maximum allowable area of ​​damaged parts. They represent the weight factors of the number and area of ​​the damaged parts respectively. They respectively represent the weight factors of the set tank damage and appearance acceptance degree.

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