Well lid intelligent monitoring system

Abstract

The invention relates to the technical field of municipal facilities, in particular to an intelligent well lid monitoring system which comprises an abnormity monitoring module, a data analysis module, an early warning information transmission module and a dynamic threshold value adjustment module. And the abnormity monitoring module is used for collecting the position information, the stress information and the maintenance information of the well lid, and the temperature and humidity, the traffic flow and the accumulated water depth information around the well lid. And the dynamic threshold adjusting module is used for updating the judgment threshold of the evaluation parameter according to the real-time environment data. And the data analysis module is combined with the dynamic threshold adjustment module to perform fusion processing on the collected data, and generates warning information for generating warning information. And the early warning information transmission module is used for sending the warning information to a preset receiving terminal. The system can adapt to various complex environment change requirements and meet the modern city management requirements.

Description

Technical Field

[0001] The present invention belongs to the technical field of municipal facilities, and specifically relates to a manhole cover intelligent monitoring system which improves the accuracy of abnormality determination and the intelligence level of system operation by optimizing the generation of warning information and the acquisition process of evaluation parameters. Background Art

[0002] Manhole covers are used to cover the entrances of roads or underground facilities to prevent people or objects from falling. They are an important part of urban infrastructure. With the rapid development of urbanization, the number and frequency of use of manhole covers have increased significantly, and the safety hazards caused by abnormal conditions (such as displacement, damage or theft) have also gradually increased.

[0003] With the construction of smart cities, the intelligence of manhole covers can monitor abnormalities in manhole covers and judge the faults and abnormalities of the manhole covers themselves and their environment, such as groundwater levels, gas leaks and other information, thereby reducing the occurrence of safety accidents.

[0004] For example, the Chinese invention patent with publication number CN117894145B provides an intelligent manhole cover monitoring system, which can provide real-time protection for the cables inside the pipeline through intelligent real-time monitoring of the manhole cover, to prevent the external environment from damaging the cables inside the pipeline after the manhole cover is damaged, or someone opens the manhole cover to maliciously damage the cables inside, thus ensuring the safety of the cables.

[0005] However, the intelligent manhole cover monitoring system currently on the market mainly relies on the static threshold judgment method of a single parameter, which cannot effectively respond to complex environmental changes. This monitoring method has hysteresis, which may lead to abnormal judgment errors, increase accident risks and management costs. Therefore, there is an urgent need for an improved manhole cover intelligent monitoring system that can improve monitoring accuracy and response efficiency by dynamically adjusting evaluation parameters and multi-parameter coupling detection mechanisms to meet the needs of modern urban management. Summary of the invention

[0006] In view of the above-mentioned shortcomings of the prior art, the problem to be solved by the present invention is that the existing manhole cover monitoring system relies on a static threshold judgment method of a single parameter, which has hysteresis and may cause abnormal judgment errors. The present invention provides a manhole cover intelligent monitoring system that introduces a dynamic threshold adjustment mechanism, dynamically adjusts the thresholds of various evaluation parameters according to real-time environmental data, can adapt to a variety of complex environmental changes, and meet the needs of modern urban management.

[0007] The present invention adopts the following technical solution: a manhole cover intelligent monitoring system, including an abnormal monitoring module, a data analysis module, an early warning information transmission module, and a dynamic threshold adjustment module. Abnormal monitoring module, used to collect information on the location of the manhole cover, force information, maintenance information, temperature and humidity around the manhole cover, traffic flow and water depth; The dynamic threshold adjustment module updates the judgment threshold of the evaluation parameters according to the real-time environmental data.

[0008] The data analysis module, in combination with the dynamic threshold adjustment module, performs fusion processing on the collected data and generates warning information for generating warning information; Warning information is generated through a multi-parameter coupling algorithm, which combines the manhole cover force data with the environmental change trend to calculate the abnormal index. When the index exceeds the dynamic threshold, a warning message is generated. The evaluation parameters are obtained in the following three ways: Method 1: Extract manhole cover location information; combine video surveillance data to predict future traffic flow through machine learning models; and fuse the predicted value with real-time monitoring data for calculation and generation.

[0009] Method 2: Collect multi-point data by distributed force sensors, calculate the force distribution diagram of the manhole cover in combination with the finite element analysis model, and make judgments based on abnormal force areas.

[0010] Method 3: Record maintenance information through blockchain and dynamically calculate maintenance interval prediction values ​​based on historical data.

[0011] The warning information transmission module is used to send the warning information to the preset receiving terminal; Beneficial effects of the present invention: The invention discloses a manhole cover intelligent monitoring system that can adapt to a variety of complex environmental changes and meet the needs of modern urban management. The accuracy of warning information is significantly improved by dynamically adjusting thresholds and multi-parameter coupling analysis; the distributed sensor network is used to ensure the comprehensiveness and continuity of data collection; blockchain technology ensures that maintenance records cannot be tampered with, providing data support for optimizing management strategies. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 This is a schematic diagram of the architecture of the manhole cover intelligent monitoring system of the present invention; Figure 2 A schematic diagram of the working process of the manhole cover intelligent monitoring system of the present invention; DETAILED DESCRIPTION

[0013] 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.

[0014] like Figure 1 As shown, a manhole cover intelligent monitoring system includes: Abnormal monitoring module: installed inside and around the manhole cover, used to collect real-time status data of the manhole cover and its environment, including location information, force information, maintenance information, ambient temperature and humidity, water depth and traffic flow.

[0015] Dynamic threshold adjustment module: dynamically adjusts the warning threshold according to the real-time collected environmental information and optimizes the abnormality judgment strategy. The specific adjustment method is: real-time collection of information provided by the abnormal monitoring module, such as environmental temperature and humidity, traffic flow and water depth information; using a weighted algorithm to calculate the optimal threshold of the evaluation parameter; and making corrections based on historical data to improve the system's adaptability to environmental changes.

[0016] Data analysis module: Combined with the dynamic threshold adjustment module, it integrates the collected data and generates warning information; it includes the following three methods: Method 1: Extract manhole cover location information; combine video surveillance data to predict future traffic flow through machine learning models; and fuse the predicted value with real-time monitoring data for calculation and generation.

[0017] Method 2: Collect multi-point data by distributed force sensors, calculate the force distribution diagram of the manhole cover in combination with the finite element analysis model, and make judgments based on abnormal force areas.

[0018] Method 3: Record maintenance information through blockchain and dynamically calculate maintenance interval prediction values ​​based on historical data.

[0019] Blockchain maintenance information management module: All maintenance records are stored in the blockchain network to ensure that the data cannot be tampered with; Automatically analyze maintenance frequency through smart contracts and generate optimization suggestions; Support multi-party collaboration and provide transparency and credibility of maintenance records.

[0020] It also includes a multi-level anomaly detection mechanism: minor anomalies: such as when the manhole cover maintenance information interval approaches the warning value, the system generates a low-priority alert and prompts regular inspections; serious anomalies: such as when the force information or position information exceeds the threshold, the system immediately generates a high-priority alert and notifies the maintenance personnel.

[0021] Warning information transmission module: sends warning information to the management platform or maintenance personnel through wireless communication; like Figure 2 As shown, the specific implementation steps are as follows: Each collection module collects manhole cover and environmental data in real time, including force information, temperature and humidity data, and traffic flow; Adjust the evaluation parameter thresholds based on real-time environmental information to ensure the accuracy of data processing; The data analysis module analyzes the collected data through a multi-parameter coupling algorithm to generate multi-level warning information; The warning information is sent to the management platform via a wireless network; the warning information transmission module supports a variety of mainstream communication technologies, including cellular networks (such as 4G / 5G), low-power wide area networks (such as LoRa) and Wi-Fi; according to environmental conditions and network coverage, the module can intelligently select the best communication method to ensure stable transmission of information; According to the urgency of the warning information, the module can classify the information into low priority, medium priority and high priority; low priority warning information is regularly summarized and sent to the management platform to reduce communication traffic; Medium priority information directly notifies relevant managers and recommends inspection; High-priority information is sent to maintenance personnel in real time through multiple channels such as SMS, voice alarms or APP notifications.

[0022] Use blockchain technology to record maintenance data and provide decision-making basis for management optimization.

[0023] The present invention is applicable to the needs of manhole cover monitoring in a variety of complex environments, including high-density traffic areas, extreme weather environments and other scenarios, and can significantly improve the intelligence and safety of manhole cover management.

[0024] Working principle of the present invention: The present invention introduces a dynamic threshold adjustment mechanism, which can dynamically adjust the thresholds of various evaluation parameters according to the real-time collected environmental data (such as temperature and humidity, traffic flow, water depth, etc.). This dynamic adaptability enables the system to flexibly respond to complex and changing environmental conditions, thereby improving the accuracy of anomaly detection. Traditional systems mostly use static thresholds, which are prone to false alarms or missed alarms due to environmental changes. The present invention uses a multi-parameter coupling algorithm to analyze the relationship between the manhole cover force, environmental information and historical data, and generates multi-level warning information, which greatly improves the reliability and timeliness of the warning.

[0025] The system uses a distributed sensor network to achieve all-round monitoring of manhole covers and their surrounding environment. For example, the manhole cover information collection module can collect the manhole cover location, stress status and maintenance records; the environmental information collection module monitors key parameters such as traffic flow, temperature and humidity, and water depth. Through the collaborative work of these modules, the system not only covers the core dimensions of manhole cover operation, but also captures the potential impact of the environment on the manhole cover to ensure the comprehensiveness of the data. At the same time, the sensor network has a high fault tolerance, and the system can still operate normally even if individual sensors fail.

[0026] The present invention introduces blockchain technology to record and manage the maintenance information of manhole covers. Through the distributed ledger technology of blockchain, all maintenance records are tamper-proof and traceable. This feature not only ensures the authenticity of maintenance records, but also provides reliable data support for subsequent management. In addition, the application of smart contracts can realize automatic analysis of maintenance frequency, generate optimization suggestions, reduce the need for manual intervention, and improve management efficiency.

[0027] This system is particularly suitable for manhole cover monitoring needs in high-density traffic areas, extreme weather conditions and other complex scenarios. For example, in heavy rain, the environmental information acquisition module can monitor the depth of water accumulation and its changing trend in real time, dynamically adjust the warning threshold and generate early warnings in time to help managers take effective countermeasures. For high-density traffic areas, by combining video surveillance data and manhole cover location information, the system can predict future traffic flow and optimize manhole cover monitoring frequency and maintenance plans.

[0028] The combination of distributed sensor networks and wireless communication not only reduces the deployment and maintenance costs of the system, but also improves the system's scalability. The access of new modules does not require major changes to the existing system structure, and can meet more functional requirements in the future. Combined with blockchain and intelligent data analysis modules, the system can continuously optimize operating results, extend the service life of equipment, and further reduce long-term operation and maintenance costs.

[0029] Through accurate warning information and multi-level anomaly detection mechanisms, the system can promptly detect problems such as manhole cover position deviation, abnormal force, and excessive water accumulation, and transmit warning information to the management platform or relevant maintenance personnel. This real-time response capability effectively reduces the risk of traffic accidents or personal injuries caused by manhole cover problems, and significantly improves the safety and reliability of urban infrastructure.

[0030] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the above implementation is only to illustrate the technical concept and features of the present invention, and its purpose is to enable people familiar with this technology to understand the content of the present invention and implement it, and it cannot be used to limit the protection scope of the present invention. All equivalent changes or modifications made according to the spirit of the present invention should be included in the protection scope of the present invention.

Claims

1. A manhole cover intelligent monitoring system, characterized in that: include: Abnormal monitoring module: installed inside and around the manhole cover, used to collect real-time status data of the manhole cover and its environment, including location information, force information, maintenance information, ambient temperature and humidity, water depth and traffic flow; Dynamic threshold adjustment module: dynamically adjusts the warning threshold according to the real-time collected environmental information and optimizes the abnormality judgment strategy; Data analysis module: Combined with the dynamic threshold adjustment module, it integrates the collected data and generates warning information; It includes a multi-level anomaly detection mechanism: Minor anomalies: If the interval of manhole cover maintenance information is close to the warning value, the system generates a low-priority warning and prompts regular inspection; Severe anomalies: If the force information or position information exceeds the threshold, the system immediately generates a high-priority warning and notifies the maintenance personnel; Warning information transmission module: sends warning information to the management platform or maintenance personnel through wireless communication.

2. The intelligent monitoring system for manhole covers according to claim 1 is characterized in that: The specific adjustment method of the dynamic threshold adjustment module is: real-time collection of environmental temperature and humidity, traffic flow and water depth information; using a weighted algorithm to calculate the optimal threshold of the evaluation parameters; and making corrections based on historical data to improve the system's adaptability to environmental changes.

3. The intelligent monitoring system for manhole covers according to claim 1 is characterized in that: The data analysis module works in the following three ways: Method 1: Extract manhole cover location information; combine video surveillance data to predict future traffic flow through machine learning models; fuse the predicted value with real-time monitoring data for calculation and generation; Method 2: Collect multi-point data by distributed force sensors, calculate the force distribution diagram of the manhole cover in combination with the finite element analysis model, and make judgments based on the abnormal force area; Method 3: Record maintenance information through blockchain and dynamically calculate maintenance interval prediction value based on historical data. Blockchain maintenance information management module.

4. The intelligent monitoring system for manhole covers according to claim 3 is characterized in that: All maintenance records are stored in the blockchain network to ensure that the data cannot be tampered with; maintenance frequency is automatically analyzed through smart contracts to generate optimization suggestions; Support multi-party collaboration and provide transparency and credibility of maintenance records.

5. The intelligent manhole cover monitoring system according to claim 1, characterized in that: The warning information transmission module includes one of the following: cellular network, low-power wide area network, Wi-Fi; according to environmental conditions and network coverage, the module selects the best communication method to ensure stable transmission of information; According to the urgency of the warning information, the module can classify the information into low priority, medium priority and high priority; low priority warning information is regularly summarized and sent to the management platform to reduce communication traffic.

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