A sewage pipe network safety monitoring method and system

Abstract

This invention discloses a method for safety monitoring of sewage pipe networks, used for the maintenance of sewage pipe networks comprising a plurality of pipes. The method includes: collecting load-bearing pressure data, combustible gas concentration data, and vibration intensity data for each pipe; updating the safety value of each pipe based on the load-bearing pressure data, combustible gas concentration data, and vibration intensity data; updating the overall safety value of the sewage pipe network based on the safety values ​​of each pipe; and optimizing the maintenance plan based on the safety values ​​of each pipe and the overall safety value of the sewage pipe network. By collecting load-bearing pressure data, combustible gas concentration data, and vibration intensity data for each pipe, and optimizing the safety values ​​of each pipe and the overall safety value of the entire sewage pipe network, the method effectively updates the status of the sewage pipe network, optimizes the maintenance plan, improves maintenance efficiency, and reduces maintenance costs.

Description

Technical Field

[0001] This invention relates to the field of sewage pipe network technology, and specifically to a method for monitoring the safety of sewage pipe networks. Background Technology

[0002] Wastewater pipe networks are used to transport sewage from various residential, commercial, and industrial areas to wastewater treatment plants for centralized treatment. Some sections of these pipelines run in the wild, perhaps in fields or uninhabited areas. The coverage area of ​​these networks is quite large, and because most of them are buried underground, they are susceptible to extreme weather and geological events such as heavy rain, snow, and earthquakes. This leads to various malfunctions and problems during operation. Furthermore, because these pipelines are relatively old and nearing the end of their service life, traditional excavation, repair, and replacement techniques would cause extensive damage and incur high construction costs.

[0003] Currently, the maintenance process for sewage pipe networks adopts conventional methods, including using instruments and equipment to open inspection wells or enter the pipes for inspection, checking the functionality and structure of the pipes, setting on-site maintenance plans according to time, and carrying out regular maintenance. However, this method cannot accurately understand the real-time status of the sewage pipe network during operation, resulting in low maintenance efficiency and the inability to locate and repair in real time in case of emergencies. Summary of the Invention

[0004] This invention provides a method and system for safety monitoring of sewage pipe networks, enabling maintenance of sewage pipe networks under conditions of pressure bearing, combustible gas leakage, and vibration, thereby effectively improving maintenance efficiency.

[0005] In a first aspect, embodiments of the present invention provide a method for safety monitoring of a sewage pipe network, wherein the sewage pipe network includes a plurality of pipes, and the safety monitoring method includes:

[0006] Collect data on the bearing pressure, combustible gas concentration, and vibration intensity of each of the aforementioned pipelines;

[0007] The safety values ​​of each of the pipelines are optimized using the pressure bearing data, the combustible gas concentration data, and the vibration intensity data.

[0008] The overall safety value of the sewage pipe network is optimized based on the safety values ​​of each of the individual pipes.

[0009] The maintenance plan is optimized based on the safety values ​​of each of the aforementioned pipelines and the overall safety value of the sewage pipe network.

[0010] Furthermore, the safety values ​​of each of the pipelines are optimized based on the pressure bearing data, the combustible gas concentration data, and the vibration intensity data, including:

[0011] The weight values ​​of the bearing pressure data, the combustible gas concentration data, and the vibration intensity data are individually optimized.

[0012] The safety value of each pipeline is optimized by using the bearing pressure data and its weight value, the combustible gas concentration data and its weight value, and the vibration intensity data and its weight value.

[0013] The safety value of each of the aforementioned pipes is derived from the following formula:

[0014]

[0015] in, This represents the safety value of the i-th pipe. This represents the pressure bearing capacity of the i-th pipe. This represents the flammable gas concentration value in the i-th pipe. Let represent the vibration frequency of the i-th pipe, a represent the weight value of the bearing pressure, b represent the weight value of the combustible gas concentration, d represent the weight value of the vibration frequency, and i represent a positive integer not less than 1.

[0016] Furthermore, the overall safety value of the sewage network is optimized based on the safety values ​​of each of the individual pipes, including:

[0017] Optimize the safety weight value of each of the aforementioned pipelines individually;

[0018] The overall safety value of the sewage pipe network is optimized based on the safety value and safety weight value of each of the pipes.

[0019] The overall safety value of the sewage pipe network is derived from the following formula.

[0020]

[0021] in, This represents the overall safety value of the sewage pipe network. This represents the safety weight value of the i-th pipe. This represents the safety value of the i-th pipe. Represents a positive integer.

[0022] Furthermore, based on the safety values ​​of each of the aforementioned pipelines and the overall safety value of the sewage pipe network, the maintenance plan is optimized, including:

[0023] The maintenance plan for each of the pipelines is optimized based on the safety values ​​of each pipeline.

[0024] The maintenance plan for the sewage pipe network is optimized based on the overall safety value of the sewage pipe network.

[0025] Furthermore, if the safety value of the pipeline is greater than the preset safety threshold, the pipeline is repaired according to the pipeline repair plan.

[0026] If the overall safety value of the sewage pipe network is greater than the preset overall safety threshold, then the sewage pipe network shall be repaired in accordance with the maintenance plan of the sewage pipe network.

[0027] Secondly, embodiments of the present invention also provide a safety monitoring system for a sewage pipe network, wherein the sewage pipe network includes a plurality of pipes, and the safety monitoring system includes a data collection module and a data analysis module;

[0028] The data collection module is used to collect the bearing pressure data, combustible gas concentration data, and vibration intensity data of each of the pipelines.

[0029] The data analysis module is communicatively connected to the data collection module and is used to receive the bearing pressure data, combustible gas concentration data, and vibration intensity data of each of the pipelines. Based on the bearing pressure data, combustible gas concentration data, and vibration intensity data, the module analyzes the safety value of each of the pipelines, analyzes the overall safety value of the sewage pipe network based on the safety values ​​of each of the pipelines, and optimizes the maintenance plan based on the safety values ​​of each of the pipelines and the overall safety value of the sewage pipe network.

[0030] Furthermore, the data collection module includes a data acquisition subunit;

[0031] The data acquisition subunit includes a data collection unit and a data optimization unit;

[0032] The data collection unit includes a mounting base, a pressure detector, and an angle detector, with the angle detector located at the lower end of the mounting base.

[0033] The data optimization unit includes an instruction execution subunit and a control subunit.

[0034] The instruction execution subunit is electrically connected to the pressure detector, the angle detector, and the control subunit, and the control subunit is communicatively connected to the data analysis module.

[0035] The instruction execution subunit one is used to optimize the bearing pressure data based on the pressure data measured by the pressure detector and the angle data measured by the angle detector, and the control subunit one is used to transmit the bearing pressure data to the data analysis module.

[0036] Furthermore, the data acquisition subunit also includes a wire and a power supply. The wire is used to convert the magnetic field around the data acquisition subunit into electrical energy and store it in the power supply. The power supply is used to power the data acquisition subunit.

[0037] Furthermore, the data collection module includes a combustible gas concentration data acquisition subunit;

[0038] The combustible gas concentration data acquisition subunit includes a combustible gas concentration data collection unit and a combustible gas concentration data optimization unit;

[0039] The combustible gas concentration data collection unit includes a flow meter for detecting combustible gas leakage concentration and a counting subunit;

[0040] The combustible gas concentration data optimization unit includes instruction execution subunit two and control subunit two;

[0041] The second instruction execution subunit is electrically connected to the flow meter for detecting combustible gas leakage concentration and the counting subunit, and the second control subunit is communicatively connected to the data analysis module.

[0042] The second instruction execution subunit is used to optimize the combustible gas concentration data based on the flow rate data of the combustible gas leakage collected by the flow meter for combustible gas leakage concentration detection and the leakage time data collected by the counting subunit. The second control subunit is used to transmit the combustible gas concentration data to the data analysis module.

[0043] Furthermore, the data collection module includes a vibration intensity data acquisition subunit;

[0044] The vibration intensity data acquisition subunit includes a vibration intensity data collection unit and a vibration intensity data optimization unit;

[0045] The vibration intensity data collection unit includes a vibration detector;

[0046] The vibration intensity data optimization unit includes instruction execution subunit three and control subunit three;

[0047] The instruction execution subunit three is electrically connected to the vibration detector, and the control subunit three is communicatively connected to the data analysis module;

[0048] The instruction execution subunit three is used to optimize the vibration intensity data based on the vibration frequency information measured by the vibration detector, and the control subunit three is used to transmit the vibration intensity data to the data analysis module.

[0049] This invention provides a method for optimizing the maintenance scheme of a sewage pipe network. The sewage pipe network includes several pipes. The optimization method includes: collecting load-bearing pressure data, combustible gas concentration data, and vibration intensity data for each pipe; optimizing the safety value of each pipe based on the load-bearing pressure data, combustible gas concentration data, and vibration intensity data; optimizing the overall safety value of the sewage pipe network based on the safety values ​​of each pipe; and optimizing the maintenance scheme based on the safety values ​​of each pipe and the overall safety value of the sewage pipe network. By collecting load-bearing pressure data, combustible gas concentration data, and vibration intensity data for each pipe under load-bearing pressure, combustible gas concentration, and vibration conditions, and optimizing the safety value of each pipe and the overall safety value of the entire sewage pipe network based on the load-bearing pressure data, combustible gas concentration data, and vibration intensity data, the state of the sewage pipe network is effectively optimized, the maintenance scheme is optimized, maintenance efficiency is improved, and maintenance costs are reduced. Attached Figure Description

[0050] Figure 1 This is a schematic diagram of the process structure of a sewage pipe network safety monitoring method provided in Embodiment 1 of the present invention;

[0051] Figure 2 This is a schematic diagram of the structure of a safety monitoring system for a sewage pipe network provided in Embodiment 2 of the present invention. Detailed Implementation

[0052] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0053] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0054] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0055] Example 1

[0056] Figure 1This is a schematic diagram of the flow structure of a sewage pipe network safety monitoring method provided in Embodiment 1 of the present invention. The technical solution of this embodiment is applicable to the maintenance of sewage pipe networks. This method can be executed by a sewage pipe network maintenance plan optimization system, which can be implemented using software and / or hardware. The sewage pipe network includes several pipes, and the maintenance plan optimization method includes:

[0057] S101: Collect data on the bearing pressure of each pipeline, the concentration of leaked combustible gas, and the vibration intensity.

[0058] S102: Optimize the safety values ​​of each pipeline based on load pressure data, combustible gas concentration data, and vibration intensity data.

[0059] S103: Optimize the overall safety value of the sewage pipe network based on the safety values ​​of each pipe.

[0060] S104: Optimize the maintenance plan based on the safety values ​​of each pipeline and the overall safety value of the sewage pipe network.

[0061] Specifically, sewage pipes are generally installed underground to connect various pollution sources and sewage treatment plants. Because pollution sources and sewage treatment plants are widely distributed, the distribution range of sewage pipe networks is also quite extensive, resulting in varying terrains through which the pipes pass. The density of the overlying soil layers differs in different terrains, and the depth of pipe laying leads to different load-bearing pressures on the pipes. Furthermore, the presence of buildings or construction above the pipes exerts pressure on them, and construction generates vibrations that can cause resonance. Additionally, sewage often contains soluble and flammable gases, which, under certain conditions, can easily form explosive mixtures with the liquid. When high-temperature steam and sewage enter the sewer system, the sewage temperature rises, some flammable gases leak, and an explosion occurs. Moreover, strong vibrations caused by natural disasters such as earthquakes and landslides, or by construction work, can also affect the pipes.

[0062] Therefore, the data collected on bearing pressure, combustible gas concentration, and vibration intensity under different pipeline conditions will vary significantly. Detecting pipelines as individual units greatly improves detection accuracy. The remote terminal can calculate the current real-time safety value for each pipeline based on the detected bearing pressure data, leaked combustible gas concentration data, and vibration intensity data. This safety value represents the current safe state of the pipeline.

[0063] Safety estimation, centered on a safety value, comprehensively calculates the operational safety status of the pipeline and the probability of potential emergencies. The safety value is calculated by multiplying the average failure rate of each pipeline under external pressure, flammable gas generation, and vibration conditions by the pipeline's lifespan loss. The safety value of each pipeline is calculated and analyzed by a remote terminal to obtain the overall safety value of the sewage network. Because the sewage transported by the network varies in nature (e.g., industrial wastewater may contain toxic and harmful substances), pipelines transporting different types of sewage are classified, with different weight values ​​for each level. The overall safety value is calculated by multiplying the safety values ​​of each pipeline under external pressure, flammable gas generation, and vibration conditions by the corresponding weight value of each pipeline. The remote terminal then optimizes the corresponding maintenance plan based on the safety values ​​of each pipeline and the overall safety value of the sewage network.

[0064] This application proposes a solution that optimizes the safety values ​​of individual pipelines and the overall safety value of the entire sewage network by collecting data on the bearing pressure, combustible gas generation, and vibration conditions of each pipeline under external conditions. This ensures accurate location of pipelines requiring maintenance, improves the efficiency of subsequent maintenance processes, and reduces maintenance costs.

[0065] Furthermore, the safety values ​​of each pipeline are optimized based on load pressure data, combustible gas concentration data, and vibration intensity data, including:

[0066] Optimize the weight values ​​of bearing pressure data, combustible gas concentration data, and vibration intensity data separately;

[0067] The safety values ​​of each pipeline are updated based on bearing pressure data and its weight, combustible gas concentration data and its weight, and vibration intensity data and its weight.

[0068] The safety values ​​for each pipeline are derived from the following formula:

[0069]

[0070] in, This represents the safety value of the i-th pipe. This represents the pressure bearing capacity of the i-th pipe. This represents the flammable gas concentration value in the i-th pipe. Let represent the vibration frequency of the i-th pipe, a represent the weight value of the bearing pressure, b represent the weight value of the combustible gas concentration, d represent the weight value of the vibration frequency, and i represent a positive integer not less than 1.

[0071] The weighting values ​​for pressure bearing capacity, combustible gas concentration, and vibration frequency can be set to different levels of importance based on the properties of the wastewater transported in the pipeline. The pipeline can be classified into primary, secondary, tertiary, quaternary, quinary, and sixth-level pipelines. For example, a primary pipeline might have a weighting value of 7 for each of these values; a secondary pipeline might have a weighting value of 6 for each of these values; and so on, with 5 for tertiary, 4 for quaternary, 3 for quinary, and 2 for sixth-level pipelines. The safety value of the pipeline is obtained by multiplying the pressure bearing capacity weighting value by the corresponding pressure, the combustible gas concentration weighting value by the corresponding combustible gas concentration, and the vibration frequency weighting value by the corresponding vibration frequency.

[0072] Furthermore, the overall safety value of the sewage network is optimized based on the safety values ​​of each pipeline, including:

[0073] Optimize the safety weight values ​​for each pipeline individually;

[0074] The overall safety value of the sewage pipe network is optimized by using the safety values ​​and safety weight values ​​of each pipe.

[0075] The overall safety value of the sewage pipe network is derived from the following formula:

[0076]

[0077] in, This represents the overall safety value of the sewage pipe network. This represents the safety weight value of the i-th pipe. This represents the safety value of the i-th pipe. Represents a positive integer.

[0078] Specifically, safety weight values ​​are assigned to pipelines based on their importance. The estimated safety value of each pipeline is multiplied by its respective safety weight value to calculate the overall safety value of the sewage network. Calculations are performed using a remote terminal to ensure accuracy and real-time performance. Based on this overall safety value and environmental changes, a sewage network maintenance plan is developed.

[0079] Furthermore, based on the safety values ​​of each pipeline and the overall safety value of the sewage network, the maintenance plan is optimized, including:

[0080] Optimize the maintenance plan for each pipeline based on its safety value;

[0081] Optimize the maintenance plan for the sewage pipe network based on the overall safety value of the sewage pipe network.

[0082] Specifically, the maintenance plan can be optimized based on actual conditions, and maintenance can be carried out according to different environments, times, and sections. Maintenance work is conducted based on the condition of the sewage pipe network and does not need to be carried out at fixed times or within fixed cycles; maintenance time and location are determined as needed. To improve the accuracy and efficiency of the maintenance process, the maintenance plan for each pipe is optimized based on the safety values ​​of each pipe, generating a corresponding maintenance plan for each pipe to be maintained. The optimal maintenance plan is formulated based on the overall safety value calculated under external pressure, flammable gas generation, and vibration conditions of the sewage pipe network, thereby reducing damage to the sewage pipe network from external forces and enabling timely emergency repairs.

[0083] Furthermore, if the safety value of the pipeline is greater than the preset safety threshold, the pipeline will be repaired in accordance with the pipeline maintenance plan.

[0084] If the overall safety value of the sewage pipe network is greater than the preset overall safety threshold, the sewage pipe network shall be repaired in accordance with the sewage pipe network maintenance plan.

[0085] Specifically, each pipeline is configured with a corresponding preset safety threshold based on its environmental differences. When the safety value of a pipeline is lower than its preset safety threshold, it indicates a potential safety hazard, and the pipeline is then repaired according to the pipeline's maintenance plan. Similarly, if the overall safety value of the sewage network calculated from each pipeline is lower than the preset overall safety threshold, it indicates a potential safety hazard in the sewage network, and the sewage network is then repaired according to the sewage network's maintenance plan to ensure its safety. For example, if changes in the external environment cause the pressure on a pipeline to exceed its bearing capacity, it can lead to pipeline deformation, damage, or flammable gas leakage. In this case, the pipeline's operating status changes from normal to abnormal. By measuring the pipeline's safety value, the location of the fault can be quickly determined, facilitating the implementation of corresponding maintenance plans.

[0086] Example 2

[0087] Figure 2 The figure shows a schematic diagram of a safety monitoring system for a sewage pipe network provided in Embodiment 2 of the present invention. The sewage pipe network includes several pipes, and the maintenance scheme optimization system includes a data collection module 201 and a data analysis module 202.

[0088] The data collection module 201 is used to collect data on the bearing pressure of each pipeline, the concentration of leaked combustible gas, and the vibration intensity.

[0089] The data analysis module 202 is electrically connected to the data collection module 201 and is used to collect external bearing pressure data, leaked combustible gas concentration data and vibration intensity data of each pipeline. Based on the bearing pressure data, combustible gas concentration data and vibration intensity data, the safety value of each pipeline is updated. Based on the safety value of each pipeline, the overall safety value of the sewage pipe network is updated. Based on the safety value of each pipeline and the overall safety value of the sewage pipe network, the maintenance plan is optimized.

[0090] Specifically, the data collection module 201 includes various types of sensors to collect data on the external bearing pressure, the concentration of leaked combustible gas, and the vibration intensity of each pipeline. The data analysis module 202 uses a remote terminal, which may employ a central processing unit, to analyze and process the collected bearing pressure data, combustible gas concentration data, and vibration intensity data.

[0091] Furthermore, the data collection module 201 includes a bearing pressure data acquisition subunit 2011;

[0092] The bearing pressure data acquisition subunit 2011 includes a bearing pressure data collection unit 211 and a bearing pressure data optimization unit 212;

[0093] The bearing pressure data collection unit 211 includes a mounting base 2112, a pressure detector 2113 and an angle detector 2114, with the angle detector 2114 disposed inside the mounting base 2112;

[0094] The pressure data optimization unit 212 includes an instruction execution subunit 2121 and a control subunit 2122;

[0095] The instruction execution subunit 2121 is electrically connected to the pressure detector 2113, the angle detector 2114 and the control subunit 2122. The control subunit 2122 is communicatively connected to the data analysis module 202.

[0096] The instruction execution subunit 2121 is used to update the bearing pressure data based on the pressure data measured by the pressure detector 2113 and the angle data measured by the angle detector 2114. The control subunit 2122 is used to transmit the bearing pressure data to the data analysis module 202.

[0097] Specifically, after the bearing pressure is applied, the angle detector 2114 measures the displacement change of the mounting base 2112, and combines it with the pressure change measured by the pressure detector 2113. These parameters of displacement and pressure change are transmitted as input information to the instruction operation subunit 2121. After analysis by the instruction operation subunit 2121, the bearing pressure data of the pipeline is obtained. The bearing pressure data of each pipeline is transmitted to the data analysis module 202 in real time through the control subunit 2122, ensuring that the data analysis module 202 evaluates and calculates the bearing pressure data of each pipeline in real time and monitors the operating status of each pipeline at all times.

[0098] Furthermore, the pressure-bearing data acquisition subunit 2011 includes a wire 2115 and a power supply 2116. The wire 2115 is used to convert the magnetic field around the data acquisition subunit 2011 into electrical energy and store it in the power supply 2116. The power supply 2116 is used to supply power to the data acquisition subunit 2011.

[0099] Furthermore, the data collection module 201 includes a combustible gas concentration data acquisition subunit 2012;

[0100] The combustible gas concentration data acquisition subunit 2012 includes a combustible gas concentration data collection unit 221 and a combustible gas concentration data optimization unit 222;

[0101] Combustible gas concentration data collection unit 221 includes a combustible gas flow meter 2211 and a counting subunit 2212;

[0102] Combustible gas concentration data optimization unit 222 includes instruction execution subunit 2221 and control subunit 2222;

[0103] The instruction execution subunit 2221 is electrically connected to the combustible gas flow meter 2211 and the counting subunit 2212, and the control subunit 2222 is communicatively connected to the data analysis module 202.

[0104] The instruction execution subunit 2221 is used to determine the total leaked combustible gas concentration data based on the combustible gas leakage flow data collected by the combustible gas flow meter 2211 and the leakage time data collected by the counting subunit 2212. The control subunit 2222 is used to transmit the combustible gas concentration data to the data analysis module 202.

[0105] Specifically, combustible gas concentration data acquisition subunits 2012 are first installed intermittently on the sewage pipe network. The installation interval is set according to specific needs; no specific limitation is made in this embodiment. One combustible gas concentration data acquisition subunit 2012 is installed at each monitoring point. The combustible gas flow meter 2211 in the combustible gas concentration data collection unit 221 collects the flow data of the leaked combustible gas, and the counting subunit 2212 records the leakage time data. The total leaked combustible gas concentration data includes the flow data of the leaked combustible gas in the sewage pipe network and the corresponding leakage time data. The combustible gas concentration data optimization unit 222 monitors and transmits the combustible gas concentration data of the leaked combustible gas in the sewage pipe network collected by the combustible gas concentration data collection unit 221 in real time. The instruction execution subunit 2221 extracts the combustible gas concentration data of the sewage pipe network and determines the overall combustible gas concentration data of the leak. The control subunit 2222 is used to transmit the collected combustible gas concentration data to the data analysis module 202. The data analysis module 202 identifies the sewage pipe network that has leaked and locates the location of the combustible gas leak, analyzes the combustible gas concentration values ​​of each pipe in the sewage pipe network, and draws a state diagram of the combustible gas concentration values ​​of the sewage pipe network.

[0106] Furthermore, the data collection module 201 includes a vibration intensity data acquisition subunit 2013;

[0107] The vibration intensity data acquisition subunit 2013 includes a vibration intensity data collection unit 231 and a vibration intensity data optimization unit 232;

[0108] The vibration intensity data collection unit 231 includes a vibration detector 2311;

[0109] The vibration intensity data optimization unit 232 includes an instruction execution subunit 3 2321 and a control subunit 3 2322;

[0110] The instruction execution subunit 3 2321 is electrically connected to the vibration detector 2311, and the control subunit 3 2322 is communicatively connected to the data analysis module 202;

[0111] The instruction execution subunit 3 2321 is used to update the vibration intensity data based on the vibration frequency data measured by the vibration detector 2311, and the control subunit 3 2322 is used to transmit the vibration intensity data to the data analysis module 202.

[0112] Specifically, when an earthquake or landslide occurs, or when construction is underway near the pipeline, vibrations are generated by a vibration source. The vibration detector 2311 in the vibration intensity data collection unit 231, installed on each pipeline, is directly subjected to the pressure of the external earthquake. The detector outputs a vibration frequency corresponding to this pressure, which is transmitted to the instruction execution subunit 2321. The instruction execution subunit 2321 optimizes the vibration intensity data based on the vibration frequency, and the control subunit 2322 transmits the vibration intensity data to the data analysis module 202. The data analysis module 202 updates the safety status of each sewage pipe network based on the vibration intensity data of each pipeline. The data analysis module 202 combines the bearing pressure data, combustible gas concentration data, and vibration intensity data to update the safety values ​​of each pipeline and the overall safety value of the entire sewage pipe network. This updates the current status of each pipeline and the entire sewage pipe network, optimizes appropriate maintenance plans, highlights key maintenance points, improves maintenance efficiency, and reduces maintenance costs.

[0113] The above descriptions are merely embodiments of the present invention. Commonly known structures and characteristics are not described in detail here. Those skilled in the art are aware of all common technical knowledge in the field prior to the application date or priority date, are aware of all existing technologies in that field, and have the ability to apply conventional experimental methods prior to that date. Those skilled in the art can, under the guidance of this application, improve and implement this solution in combination with their own capabilities. Some typical known structures or methods should not be obstacles for those skilled in the art to implement this application. It should be noted that those skilled in the art can make several modifications and improvements without departing from the structure of the present invention. These should also be considered within the scope of protection of the present invention, and will not affect the effectiveness of the implementation of the present invention or the practicality of the patent. The scope of protection claimed in this application should be determined by the content of its claims, and the specific embodiments described in the specification can be used to interpret the content of the claims.

Claims

1. A method for monitoring the safety of a sewer network, for carrying out maintenance on a sewer network, the sewer network comprising a plurality of pipes, characterized in that: The maintenance method includes: Collect data on the bearing pressure, combustible gas concentration, and vibration intensity of each of the aforementioned pipelines; Updating the safety value of each pipeline based on the bearing pressure data, the combustible gas concentration data, and the vibration intensity data includes: The weight values ​​of the bearing pressure data, the combustible gas concentration data, and the vibration intensity data are individually optimized. The safety value of each pipeline is optimized by using the bearing pressure data and its weight value, the combustible gas concentration data and its weight value, and the vibration intensity data and its weight value. The safety value of each of the aforementioned pipes is derived from the following formula: wherein, represents a safety value of the i-th pipe, represents a carrying pressure of the i-th pipe, represents a flammable gas concentration value of the i-th pipe, represents a vibration frequency of the i-th pipe, a represents a weight value of the carrying pressure, b represents a weight value of the flammable gas concentration value, d represents a weight value of the vibration frequency, and i represents a positive integer not less than 1; Optimizing the overall safety value of the sewage network based on the safety values ​​of each of the individual pipes includes: Optimize the safety weight value of each of the aforementioned pipelines individually; The overall safety value of the sewage pipe network is optimized based on the safety value and safety weight value of each of the pipes. The overall safety value of the sewage pipe network is derived from the following formula: in, This represents the overall safety value of the sewage pipe network. This represents the safety weight value of the i-th pipe. This represents the safety value of the i-th pipe. Represents positive integers; The maintenance plan is optimized based on the safety values ​​of each of the aforementioned pipelines and the overall safety value of the sewage pipe network.

2. The safety monitoring method according to claim 1, characterized in that, Based on the safety values ​​of each of the aforementioned pipelines and the overall safety value of the sewage pipe network, the maintenance plan is optimized, including: The maintenance plan for each of the pipelines is optimized based on the safety values ​​of each pipeline. The maintenance plan for the sewage pipe network is optimized based on the overall safety value of the sewage pipe network.

3. The safety monitoring method according to claim 2, characterized in that, If the safety value of the pipeline is greater than the preset safety threshold, the pipeline shall be repaired in accordance with the pipeline repair plan. If the overall safety value of the sewage pipe network is greater than the preset overall safety threshold, then the sewage pipe network shall be repaired in accordance with the maintenance plan of the sewage pipe network.

4. A sewage pipe network safety monitoring system, characterized in that, The sewage pipe network includes several pipes, and the safety monitoring system includes a data collection module and a data analysis module; The data collection module is used to collect the bearing pressure data, combustible gas concentration data, and vibration intensity data of each of the pipelines. The data analysis module is communicatively connected to the data collection module and is used to receive the bearing pressure data, combustible gas concentration data and vibration intensity data of each of the pipelines. Based on the bearing pressure data, combustible gas concentration data and vibration intensity data, the safety value of each of the pipelines is analyzed. Based on the safety value of each of the pipelines, the overall safety value of the sewage pipe network is analyzed. Based on the safety value of each of the pipelines and the overall safety value of the sewage pipe network, the maintenance plan is optimized. Updating the safety value of each pipeline based on the bearing pressure data, the combustible gas concentration data, and the vibration intensity data includes: The weight values ​​of the bearing pressure data, the combustible gas concentration data, and the vibration intensity data are individually optimized. The safety value of each pipeline is optimized by using the bearing pressure data and its weight value, the combustible gas concentration data and its weight value, and the vibration intensity data and its weight value. The safety value of each of the aforementioned pipes is derived from the following formula: in, This represents the safety value of the i-th pipe. This represents the pressure bearing capacity of the i-th pipe. This represents the flammable gas concentration value in the i-th pipe. Let represent the vibration frequency of the i-th pipe, a represent the weight value of the bearing pressure, b represent the weight value of the combustible gas concentration, d represent the weight value of the vibration frequency, and i represent a positive integer not less than 1. Optimizing the overall safety value of the sewage network based on the safety values ​​of each of the individual pipes includes: Optimize the safety weight value of each of the aforementioned pipelines individually; The overall safety value of the sewage pipe network is optimized based on the safety value and safety weight value of each of the pipes. The overall safety value of the sewage pipe network is derived from the following formula: in, This represents the overall safety value of the sewage pipe network. This represents the safety weight value of the i-th pipe. This represents the safety value of the i-th pipe. Represents a positive integer.

5. The safety monitoring system according to claim 4, characterized in that, The data collection module includes a load pressure data acquisition subunit; The bearing pressure data acquisition subunit includes a bearing pressure data collection unit and a bearing pressure data optimization unit; The bearing pressure data collection unit includes a mounting base, a pressure detector, and an angle detector, with the angle detector located at the lower end of the mounting base. The bearing pressure data optimization unit includes an instruction execution subunit and a control subunit. The instruction execution subunit is electrically connected to the pressure detector, the angle detector, and the control subunit, and the control subunit is communicatively connected to the data analysis module. The instruction execution subunit one is used to optimize the bearing pressure data based on the pressure data measured by the pressure detector and the angle data measured by the angle detector, and the control subunit one is used to transmit the bearing pressure data to the data analysis module.

6. The safety monitoring system according to claim 5, characterized in that, The data acquisition subunit also includes wires and a power supply. The wires are used to convert the magnetic field around the pressure data acquisition subunit into electrical energy and store it in the power supply. The power supply is used to power the pressure data acquisition subunit.

7. The safety monitoring system according to claim 6, characterized in that, The data collection module includes a combustible gas concentration data acquisition subunit; The combustible gas concentration data acquisition subunit includes a combustible gas concentration data collection unit and a combustible gas concentration data optimization unit; The combustible gas concentration data collection unit includes a flow meter for detecting combustible gas leakage concentration and a counting subunit; The combustible gas concentration data optimization unit includes instruction execution subunit two and control subunit two; The second instruction execution subunit is electrically connected to the flow meter for detecting combustible gas leakage concentration and the counting subunit, and the second control subunit is communicatively connected to the data analysis module. The second instruction execution subunit is used to optimize the combustible gas concentration data based on the flow rate data of the combustible gas leakage collected by the flow meter for combustible gas leakage concentration detection and the leakage time data collected by the counting subunit. The second control subunit is used to transmit the combustible gas concentration data to the data analysis module.

8. The safety monitoring system according to claim 7, characterized in that, The data collection module includes a vibration intensity data acquisition subunit; The vibration intensity data acquisition subunit includes a vibration intensity data collection unit and a vibration intensity data optimization unit; The vibration intensity data collection unit includes a vibration detector; The vibration intensity data optimization unit includes instruction execution subunit three and control subunit three; The instruction execution subunit three is electrically connected to the vibration detector, and the control subunit three is communicatively connected to the data analysis module; The instruction execution subunit three is used to optimize the vibration intensity data based on the vibration frequency information measured by the vibration detector, and the control subunit three is used to transmit the vibration intensity data to the data analysis module.

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