An adaptive regulated cathodic protection intelligent monitoring system

Abstract

The utility model discloses a kind of self-adaptive regulation and control's cathodic protection intelligent monitoring system, with the following advantages: AI module is set as analysis engine in the intelligent management platform in the cloud, compliance judgment is carried out to the intelligent test pile, intelligent anode box and intelligent constant potential instrument operating parameter of edge gateway transmission, and fault diagnosis is carried out through LSTM prediction model, optimization calculation is carried out using dynamic programming algorithm, and then by self-adaptive regulation and control instruction module, collaborative control instruction is sent to intelligent constant potential instrument group remotely according to optimization calculation result, after receiving collaborative control instruction, intelligent constant potential instrument group changes operating parameter and causes anode output current to change, so as to change cathode protection potential, form adaptive regulation closed loop, realize the operation mode and operating parameter of intelligent constant potential instrument adaptive intelligent regulation.

Description

Technical Field

[0001] This utility model relates to the field of corrosion protection technology, specifically to an adaptive and adjustable intelligent monitoring system for cathodic protection. Background Technology

[0002] In existing technologies, the parameters of the potentiostat in cathodic protection systems are usually set in a fixed manner and cannot be dynamically adjusted according to the real-time corrosion status. This can easily lead to insufficient or excessive protection, shortening the service life of pipelines. Existing monitoring technologies often focus on monitoring and analyzing the local corrosion status of pipelines, lacking a comprehensive assessment and risk warning mechanism for the corrosion status of the entire monitoring area. In practical applications, if only local corrosion is considered while neglecting the overall understanding of the corrosion status of the entire monitoring area, it is difficult to formulate scientific and reasonable protection strategies and effectively prevent and control pipeline corrosion accidents.

[0003] Although traditional intelligent monitoring systems for cathodic protection have the functions of system data acquisition, storage and analysis, they still require maintenance personnel with certain cathodic protection technical capabilities to analyze abnormal data and manually adjust the operating mode and operating parameters of the potentiostat. They cannot achieve intelligent control and urgently need improvement. Utility Model Content

[0004] One of the technical problems to be solved by this application is to overcome the defects of the above-mentioned related technologies and provide an adaptive control intelligent monitoring system for cathodic protection, which realizes automatic adjustment of the operating mode and operating parameters of the potentiostat under fault-free conditions through edge-cloud collaboration.

[0005] The technical solution adopted by this utility model to solve the technical problem is: an adaptive control intelligent monitoring system for cathodic protection, comprising:

[0006] Distributed deployment of intelligent test piles, which are equipped with multi-parameter sensor arrays and edge computing units; intelligent test piles are also known as cathodic protection test piles.

[0007] A distributed intelligent anode box, wherein the intelligent anode box integrates an anode working current and working potential acquisition and transmission unit;

[0008] A group of intelligent potentiostats that supports remote parameter reconfiguration, wherein the intelligent potentiostats have a built-in remote control module and a multi-parameter acquisition module;

[0009] Edge gateways are used for encrypted transmission of operating parameters of smart test piles, smart anode boxes, and smart potentiostats;

[0010] An intelligent management platform is deployed with an AI analysis engine module and an adaptive control command module. The AI ​​analysis engine module is used to make compliance judgments on the operating parameters transmitted by the edge gateway, perform fault diagnosis through an LSTM prediction model, and perform optimization calculations using a dynamic programming algorithm. The adaptive control command module is used to send collaborative control commands to the intelligent potentiostat group based on the optimization calculation results.

[0011] Compared with related technologies, this utility model has the following advantages: an AI module is set up as an analysis engine in the cloud-based intelligent management platform to judge the compliance of the operating parameters of the intelligent test piles, intelligent anode boxes and intelligent potentiostats transmitted by the edge gateway, and to perform fault diagnosis through LSTM prediction model, optimize calculation using dynamic programming algorithm, and then the adaptive control command module remotely sends collaborative control commands to the intelligent potentiostat group according to the optimization calculation results, so as to realize the adaptive intelligent adjustment of the operating mode and operating parameters of the intelligent potentiostat.

[0012] Preferably, the parameter sensors built into the intelligent test pile include a polarization potential sensor and a stray current sensor.

[0013] As an improvement, an anomaly alert ticket printer is also included, which is communicatively connected to the adaptive control command module. When data anomalies occur, a field inspection work order is triggered and printed to remind maintenance personnel to handle the issue manually. Attached Figure Description

[0014] Figure 1 This is a schematic diagram of the adaptive control cathodic protection intelligent monitoring system of this utility model.

[0015] Figure 2 This is a flowchart illustrating the operation of the adaptive control cathodic protection intelligent monitoring system of this utility model. Detailed Implementation

[0016] First, those skilled in the art should understand that these embodiments are merely used to explain the technical principles of the embodiments of this application and are not intended to limit the scope of protection of the embodiments of this application. Those skilled in the art can make adjustments as needed to adapt to specific application scenarios.

[0017] The present invention will now be described in further detail with reference to the accompanying drawings and specific embodiments.

[0018] This preferred embodiment is as follows: Figure 1 The adaptive control cathodic protection intelligent monitoring system shown includes:

[0019] A distributed intelligent test pile, which incorporates a multi-parameter sensor array and an edge computing unit;

[0020] A distributed intelligent anode box, wherein the intelligent anode box integrates an anode working current and working potential acquisition and transmission unit;

[0021] A group of intelligent potentiostats supports remote parameter reconfiguration. The intelligent potentiostats have built-in remote control modules and multi-parameter acquisition modules. The intelligent potentiostats support millisecond-level transient power-off potential acquisition. The multi-parameter acquisition modules are used to acquire the output voltage, current, measured potential, power-off potential, and fault information of the intelligent potentiostats.

[0022] The edge gateway is used for encrypted transmission of operating parameters of intelligent test piles, intelligent anode boxes, and intelligent potentiostats; it uses fiber optic / 4G and other communication methods to transmit operating parameters.

[0023] An intelligent management platform is deployed with an AI analysis engine module and an adaptive control command module. The AI ​​analysis engine module is used to make compliance judgments on the operating parameters transmitted by the edge gateway, perform fault diagnosis through an LSTM prediction model, and perform optimization calculations using a dynamic programming algorithm. The adaptive control command module is used to send collaborative control commands to the intelligent potentiostat group based on the optimization calculation results.

[0024] The operation flow of the adaptive control cathodic protection intelligent monitoring system in this embodiment is as follows: Figure 2 As shown, after receiving the coordinated control command, the intelligent potentiostat group changes the operating parameters, causing the anode output current to change, thereby changing the cathode protection potential and forming an adaptive adjustment closed loop. The specific effects are shown in the table below.

[0025] Technical Effect Comparison Table

[0026] index Non-intelligent systems Traditional intelligent monitoring system This system Potential compliance rate 50-70％ 75-80％ ≥95％ Fault response time 72 hours+ 24 hours+ <1 hour Energy saving - - 18-22％ Maintenance labor costs 100％ Approximately 30% reduction Reduced by more than 80%

[0027] In this embodiment, the core functions of the intelligent management platform are as follows:

[0028] 1. Compliance Analysis

[0029] The AI ​​analysis engine module can be used to compare the potential range with the standard or preset potential range in real time, and a potential heat map can be dynamically generated.

[0030] 2. Fault Prediction

[0031] Based on the LSTM model, predict anode lifetime decay and assess remaining lifetime, and identify stray current anomalies;

[0032] 3. Autonomous regulation

[0033] Dynamic programming algorithms optimize computation to form adaptive adjustment decisions;

[0034] Compliance rate <95%: Generate an increased output adjustment scheme for the intelligent potentiostat (intelligent potentiostat ID, output voltage or control potential adjustment, protection range);

[0035] Overprotection trend detected: Generate a scheme to reduce the output adjustment of the smart potentiostat (smart potentiostat ID, output voltage or control potential adjustment, protection range);

[0036] Anode failure trend detected: Generate a field inspection work order (corresponding smart potentiostat ID, output voltage or control potential adjustment, protection range).

[0037] While the aforementioned core functions have been applied individually by those skilled in the art to the field of cathodic protection corrosion prevention, they have not been integrated into a cathodic protection intelligent monitoring system for adaptive control.

[0038] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can occur depending on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. An adaptive control intelligent monitoring system for cathodic protection, characterized in that, include: A distributed intelligent test pile, which incorporates a multi-parameter sensor array and an edge computing unit; A distributed intelligent anode box, wherein the intelligent anode box integrates an anode working current and working potential acquisition and transmission unit; A group of intelligent potentiostats that supports remote parameter reconfiguration, wherein the intelligent potentiostats have a built-in remote control module and a multi-parameter acquisition module; Edge gateways are used for encrypted transmission of operating parameters of smart test piles, smart anode boxes, and smart potentiostats; An intelligent management platform is deployed with an AI analysis engine module and an adaptive control command module. The AI ​​analysis engine module is used to make compliance judgments on the operating parameters transmitted by the edge gateway, perform fault diagnosis through an LSTM prediction model, and perform optimization calculations using a dynamic programming algorithm. The adaptive control command module is used to send collaborative control commands to the intelligent potentiostat group based on the optimization calculation results.

2. The adaptive control intelligent monitoring system for cathodic protection according to claim 1, characterized in that, The built-in parameter sensors of the intelligent test pile include a polarization potential sensor and a stray current sensor.

3. The adaptive control intelligent monitoring system for cathodic protection according to claim 1 or 2, characterized in that, It also includes an anomaly warning slip printer, which is communicatively connected to the adaptive control instruction module.

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