A smart manhole cover monitoring system and method

Abstract

The present invention relates to the field of manhole cover monitoring technology, and discloses a smart manhole cover monitoring system, including a manhole cover end, a control end and an administrator end, wherein the manhole cover end includes: a sensor module and an Internet of Things module; the control end includes: a data processing module, a data analysis module and a remote monitoring module; the management end includes a remote management module; the sensor module is used to detect the state of the environment in which the manhole cover is located, the pressure borne by the manhole cover itself, and the tilt state of the manhole cover itself; the Internet of Things module is used to transmit data between adjacent manhole covers, and finally transmit the data to the control end. The present invention determines the position state of a single manhole cover by collecting and analyzing the packet loss rate of the manhole cover transmission data, the speed of data transmission and the response speed. The position calculation model can accurately and efficiently judge the position change of the manhole cover, reducing the cost of installing positioning equipment in the manhole cover.

Description

Technical Field

[0001] The present invention relates to the field of manhole cover monitoring technology, and more specifically to a smart manhole cover monitoring system and method. Background Art

[0002] The smart manhole cover monitoring system and method is a technical solution for urban management and public safety. This type of system mainly uses Internet of Things technology, sensors, data analysis and remote communication to monitor and manage manhole covers in the city in real time to prevent accidents and improve management efficiency.

[0003] The existing patent discloses a manhole cover monitoring system for smart transportation (publication number CN212905974U), which includes a manhole cover body, a state detection unit, a traffic base station, a management platform, a controller and a reminder unit connected in sequence. In the technology disclosed in the patent, when the position of the manhole cover changes and the posture of the manhole cover itself changes, it is impossible to accurately judge and remind the city street administrator. Summary of the invention

[0004] The main technical problem solved by the present invention is to provide a smart manhole cover monitoring system and method, which solves the problems in the above-mentioned background technology.

[0005] To solve the above technical problems, according to one aspect of the present invention, more specifically, a smart manhole cover monitoring system includes a manhole cover end, a control end and an administrator end, wherein the manhole cover end includes: a sensor module and an Internet of Things module; the control end includes: a data processing module, a data analysis module and a remote monitoring module; the administrator end includes a remote management module;

[0006] The sensor module is used to detect the state of the environment in which the manhole cover is located, the pressure borne by the manhole cover itself, and the tilt state of the manhole cover itself;

[0007] The Internet of Things module is used for data transmission between adjacent manhole covers and ultimately transmits the data to the control end;

[0008] The data processing module is used to divide the data on pressure, tilt angle, temperature and humidity collected from manhole covers at different positions according to the positions of the manhole covers;

[0009] The data analysis module uses a data analysis algorithm to perform real-time analysis on the collected data to determine abnormal manhole cover status or abnormal manhole cover usage frequency;

[0010] The remote monitoring module is used to monitor the real-time status of multiple manhole covers and analyze and alarm the abnormalities of the manhole covers and the environment to which the manhole covers belong;

[0011] The remote management module is used for city managers to remotely monitor the real-time status and monitoring data of multiple manhole covers through a dedicated user interface or mobile application.

[0012] Furthermore, the sensor module specifically includes: a pressure sensor, a tilt sensor and a temperature and humidity sensor;

[0013] The pressure sensor is used to detect the pressure change of the manhole cover, and can determine whether the manhole cover is opened or a vehicle passes by;

[0014] The tilt sensor is used to measure the tilt angle or change of the manhole cover, and can determine whether the manhole cover is tilted or shifted;

[0015] The temperature and humidity sensor is used to monitor the temperature and humidity changes in the air in real time, and can monitor the environmental conditions around the manhole cover.

[0016] Furthermore, the data analysis module specifically includes: a data acquisition module, a data cleaning module and an anomaly detection module;

[0017] The data acquisition module is used to collect abnormal values ​​in the data detected by the sensor;

[0018] The data cleaning module is used to clean and preprocess the data to ensure data quality and consistency. Data cleaning includes processing missing data and removing outliers and noise.

[0019] The anomaly detection module identifies abnormal manhole cover status or abnormal environment based on historical data and set thresholds, and feeds back the abnormal status to the remote monitoring module.

[0020] Furthermore, the data analysis determines the position status of a single manhole cover according to the packet loss rate of data transmitted by a single manhole cover, the speed of data transmission and the response speed, including:

[0021]

[0022] Among them, R represents the probability of the monitored manhole cover position changing, m represents the delay ratio of the transmission speed of a single manhole cover to the transmission speed of the adjacent manhole cover, and a represents the data transmission speed between a single manhole cover and its neighboring manhole cover; and there are:

[0023]

[0024] Where c represents the response speed between a single manhole cover and its neighboring manhole covers, w represents the response time between a single manhole cover and its neighboring manhole covers, and d represents the loss rate of data transmission between a single manhole cover and its neighboring manhole covers.

[0025] When R≤26%, it means that the monitored manhole cover position has changed.

[0026] Furthermore, the data analysis module determines the comprehensive index coefficient of the environment in which the manhole cover is located based on the temperature and humidity of the collected single manhole cover and the temperature and humidity of the climate center, which are:

[0027]

[0028] In the formula, H represents the comprehensive index coefficient of the environment in which the manhole cover is located, T represents the temperature measured by the manhole cover, R1 represents the humidity measured by the manhole cover, T0 represents the temperature collected from the climate center, and R0 represents the humidity collected from the climate center.

[0029] Furthermore, the remote monitoring module specifically includes: an abnormal alarm module, a log analysis module and a rights management module;

[0030] The abnormal alarm module is used to automatically identify abnormalities in the state of the manhole cover through data analysis and abnormality detection, including unauthorized opening, excessive tilting, and abnormal vibration;

[0031] The log analysis module is used to access and analyze historical data to understand the long-term usage and trends of manhole covers;

[0032] The authority management module is used to set the authority and roles of different users to ensure that only authorized personnel can perform remote operations and access key data.

[0033] Furthermore, the remote monitoring module compares the historical log data with the real-time monitoring data collected by the sensor and combines the comprehensive index coefficient of the environment in which the manhole cover is located to issue an alarm for the abnormal state of the manhole cover, including:

[0034]

[0035] Among them, K represents the probability of abnormality of the manhole cover, and H represents the comprehensive index coefficient of the environment in which the manhole cover is located; and there are:

[0036]

[0037] In the formula, s represents the overlap between the real-time monitoring data of the manhole cover and the data recorded in the historical abnormal log, u represents the ratio of the inclination angle of real-time monitoring to the average inclination angle of historical log records, and p represents the ratio of the pressure size of real-time monitoring to the average pressure size of historical log records;

[0038] When K≥78%, an abnormal alarm needs to be issued for the status of the manhole cover.

[0039] Furthermore, the position change between adjacent manhole covers is determined by the data feedback speed, response rate and data loss between adjacent manhole covers in the Internet of Things module.

[0040] A control method for a smart manhole cover monitoring system comprises the following steps:

[0041] S1. The sensor module integrated inside the smart manhole cover collects the state parameters of the manhole cover itself and the environmental state parameters;

[0042] S2, the data is transmitted one by one through the IoT module inside the smart manhole cover, and finally transmitted to the control end;

[0043] S3, the control end analyzes the status of the manhole cover at the node by the speed at which data is transmitted at different manhole cover nodes;

[0044] S4. Analyze the status of smart manhole covers by comparing with historical data and combining with environmental data from the Climate Center;

[0045] S5. The administrator manages the collected data and makes response strategies based on the alerts.

[0046] The beneficial effects of the intelligent manhole cover monitoring system and method of the present invention are:

[0047] 1. The present invention determines the position status of a single manhole cover by collecting and analyzing the packet loss rate, data transmission speed and response speed of the manhole cover transmission data. The position calculation model can accurately and efficiently judge the position change of the manhole cover, reducing the cost of installing positioning equipment in the manhole cover.

[0048] 2. The existing technology and related patents only rely on related sensors to make judgments, but lack the specific change amplitude to determine whether it is abnormal. The parameters of the sensors disclosed in the present invention vary, and the position change of the manhole cover is comprehensively judged.

[0049] 2. The present invention determines whether the manhole cover is tilted or the state of the environment is abnormal by comparing the historical log data with the real-time monitoring data collected by the sensor through the remote monitoring module, and combining the comprehensive index coefficient of the environment in which the manhole cover is located, and can issue an abnormal alarm in time according to the abnormal state. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The present invention is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0051] Figure 1 It is a working principle diagram of the present invention;

[0052] Figure 2 This is a relationship diagram between the smart manhole cover and the control terminal of the present invention. DETAILED DESCRIPTION

[0053] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present application can be combined with each other without conflict.

[0054] like Figure 1 According to one aspect of the present invention, a control method for a smart manhole cover monitoring system is provided, comprising the following steps:

[0055] Step 1: The sensor module integrated inside the smart manhole cover collects the state parameters of the manhole cover itself and the environmental state parameters;

[0056] Step 2: Data is transmitted one by one through the IoT module inside the smart manhole cover and finally transmitted to the control end;

[0057] Step 3: The control end analyzes the status of the manhole cover at the node by measuring the speed at which data is transmitted at different manhole cover nodes;

[0058] Step 4: Analyze the status of the smart manhole cover by comparing it with historical data and combining it with environmental data from the Climate Center;

[0059] Step 5: The administrator manages the collected data and formulates response strategies based on the alerts.

[0060] like Figure 1 , 2 As shown, a smart manhole cover monitoring system includes a manhole cover end, a control end and an administrator end. The manhole cover end includes: a sensor module and an Internet of Things module; the control end includes: a data processing module, a data analysis module and a remote monitoring module; the management end includes a remote management module; the sensor module is used to detect the state of the environment in which the manhole cover is located, the pressure borne by the manhole cover itself, and the tilt state of the manhole cover itself; the Internet of Things module is used to transmit data between adjacent manhole covers and finally transmit the data to the control end; the data processing module is used to divide the pressure, tilt angle, temperature and humidity data collected from manhole covers at different positions according to the position of the manhole covers; the position state of a single manhole cover is determined by collecting and analyzing the packet loss rate of the manhole cover transmission data, the speed of data transmission and the response speed. The position calculation model can accurately and efficiently judge the position change of the manhole cover, reducing the cost of installing positioning equipment in the manhole cover.

[0061] The data analysis module uses a data analysis algorithm to perform real-time analysis on the collected data to determine abnormal manhole cover status or abnormal manhole cover usage frequency; the remote monitoring module is used to monitor the real-time status of multiple manhole covers, and analyze and alarm the abnormalities of the manhole covers and the environment to which the manhole covers belong; the remote management module is used for city managers to remotely monitor the real-time status and monitoring data of multiple manhole covers through a dedicated user interface or mobile application; the remote monitoring module compares the historical log data with the real-time monitoring data collected by the sensor, and combines the comprehensive index coefficient of the environment in which the manhole cover is located to determine whether the manhole cover is tilted or the state of the environment to which it belongs is abnormal, and can issue an abnormal alarm in time based on the abnormal state.

[0062] In this embodiment, the sensor module specifically includes: a pressure sensor, a tilt sensor and a temperature and humidity sensor; the pressure sensor is used to detect the pressure change of the manhole cover, and can determine whether the manhole cover is opened or a vehicle passes by; the tilt sensor is used to measure the tilt angle or change of the manhole cover, and can determine whether the manhole cover is tilted or shifted. The tilt sensor is an angle sensor used to detect the angle change of the manhole cover; the temperature and humidity sensor is used to monitor the temperature and humidity changes in the air in real time, and can monitor the environmental conditions around the manhole cover.

[0063] In this embodiment, the data analysis module specifically includes: a data acquisition module, a data cleaning module and an anomaly detection module; the data acquisition module is used to collect abnormal values ​​in the data detected by the sensor; the data cleaning module is used to clean and preprocess the data to ensure data quality and consistency, and data cleaning includes processing missing data and removing outliers and noise; the anomaly detection module identifies abnormal manhole cover status or abnormal environment based on historical data and set thresholds, and feeds back the abnormal status to the remote monitoring module.

[0064] In this embodiment, data analysis determines the position status of a single manhole cover based on the packet loss rate of data transmitted by a single manhole cover, the speed of data transmission, and the response speed, which are:

[0065]

[0066] Where R represents the probability of the monitored manhole cover position changing, m represents the delay ratio between the transmission speed of a single manhole cover and the transmission speed of the adjacent manhole cover (the delay ratio is m = the delay of the manhole cover transmission speed ÷ the delay of the adjacent manhole cover transmission speed), and a represents the data transmission speed between a single manhole cover and its neighboring manhole cover; and:

[0067]

[0068] Where c represents the response speed between a single manhole cover and its neighboring manhole covers, w represents the response time between a single manhole cover and its neighboring manhole covers, and d represents the loss rate of data transmission between a single manhole cover and its neighboring manhole covers.

[0069] When R≤26%, it means that the monitored manhole cover position has changed.

[0070] When the control end samples and analyzes the manhole cover X, the response time between the manhole cover X and its neighboring manhole covers is w=0.2 (seconds), and the data transmission loss rate between the manhole cover X and its neighboring manhole covers is d=7.2%, then:

[0071]

[0072] From the above calculation, we can know that the response speed between manhole cover X and its neighboring manhole covers is c = 1.4 (Kbps);

[0073] Furthermore, the delay ratio between the transmission speed of manhole cover X and the transmission speed of the adjacent manhole cover is m=2.1, and the data transmission speed between manhole cover X and its neighbor is a=1.6, then:

[0074]

[0075] It can be seen from the above calculation that the position of the manhole cover X has not changed.

[0076] In this embodiment, the data analysis module determines the comprehensive index coefficient of the environment in which the manhole cover is located based on the temperature and humidity of the collected single manhole cover and the temperature and humidity of the climate center, which are:

[0077]

[0078] In the formula, H represents the comprehensive index coefficient of the environment in which the manhole cover is located, T represents the temperature measured by the manhole cover, R1 represents the humidity measured by the manhole cover, T0 represents the temperature collected from the climate center, and R0 represents the humidity collected from the climate center.

[0079] In addition, the sensor in the manhole cover X detects temperature and humidity data, and the temperature measured by the manhole cover X is T = 46 (degrees Celsius), and the humidity measured by the manhole cover X is R1 = 45%. Among them, the temperature collected from the climate center is T0 = 29 (degrees Celsius), and the humidity collected from the climate center is R0 = 42%, so:

[0080]

[0081] From the above calculation, it can be known that the comprehensive index coefficient of the environment in which the manhole cover X is located is H=4.2.

[0082] In this embodiment, the remote monitoring module specifically includes: an abnormal alarm module, a log analysis module and a permission management module; the abnormal alarm module is used to automatically identify the abnormal state of the manhole cover through data analysis and abnormal detection, including unauthorized opening, excessive tilting and abnormal vibration (the identification of abnormal vibration is to classify the three positions as abnormal); the log analysis module is used to access and analyze historical data to understand the long-term use and trend of the manhole cover; the permission management module is used to set the permissions and roles of different users to ensure that only authorized personnel can perform remote operations and access key data. The remote monitoring module compares the historical log data with the real-time monitoring data collected by the sensor, and combines the comprehensive index coefficient of the environment in which the manhole cover is located to issue an alarm for the abnormal state of the manhole cover, including:

[0083]

[0084] Among them, K represents the probability of abnormality of the manhole cover, and H represents the comprehensive index coefficient of the environment in which the manhole cover is located; and there are:

[0085]

[0086] In the formula, s represents the overlap between the real-time monitoring data of the manhole cover and the data recorded in the historical abnormal log, u represents the ratio of the inclination angle of real-time monitoring to the average inclination angle of historical log records, and p represents the ratio of the pressure size of real-time monitoring to the average pressure size of historical log records;

[0087] When K≥78%, it is necessary to issue an abnormal alarm for the state of the manhole cover (wherein the parameter 78% in K≥78% is analogous to the qualified score of 60).

[0088] In addition, the ratio of the real-time monitoring tilt angle of manhole cover X to the average tilt angle recorded in the historical log is u=1.6, and the ratio of the real-time monitoring pressure of manhole cover X to the average pressure recorded in the historical log is p=0.7, then:

[0089]

[0090] In addition, the comprehensive index coefficient of the environment where the manhole cover X is located is H = 4.2, so:

[0091]

[0092] From the above calculation, it can be known that the posture of manhole cover X is abnormal, and an abnormal alarm needs to be issued for the state of manhole cover X. The position change between adjacent manhole covers is determined by the data feedback speed, response rate and data loss between adjacent manhole covers in the Internet of Things module.

[0093] Of course, the above description is not a limitation of the present invention, and the present invention is not limited to the above examples. Changes, modifications, additions or substitutions made by ordinary technicians in this technical field within the essential scope of the present invention also fall within the protection scope of the present invention.

Claims

1. A smart manhole cover monitoring system, comprising a manhole cover end, a control end and an administrator end, characterized in that: The manhole cover end includes: a sensor module and an Internet of Things module; the control end includes: a data processing module, a data analysis module and a remote monitoring module; the administrator end includes a remote management module; The sensor module is used to detect the state of the environment in which the manhole cover is located, the pressure borne by the manhole cover itself, and the tilt state of the manhole cover itself; The Internet of Things module is used for data transmission between adjacent manhole covers and ultimately transmits the data to the control end; The data processing module is used to divide the data on pressure, tilt angle, temperature and humidity collected from manhole covers at different positions according to the positions of the manhole covers; The data analysis module uses a data analysis algorithm to perform real-time analysis on the collected data to determine abnormal manhole cover status or abnormal manhole cover usage frequency; The remote monitoring module is used to monitor the real-time status of multiple manhole covers and analyze and alarm the abnormalities of the manhole covers and the environment to which the manhole covers belong; The remote management module is used for city managers to remotely monitor the real-time status and monitoring data of multiple manhole covers through a dedicated user interface or mobile application; The data analysis determines the position status of a single manhole cover according to the packet loss rate of data transmitted by a single manhole cover, the speed of data transmission and the response speed, including: Among them, R represents the probability of the monitored manhole cover position changing, m represents the delay ratio of the transmission speed of a single manhole cover to the transmission speed of the adjacent manhole cover, and a represents the data transmission speed between a single manhole cover and its neighboring manhole cover; and there are: Where c represents the response speed between a single manhole cover and its neighboring manhole covers, w represents the response time between a single manhole cover and its neighboring manhole covers, and d represents the loss rate of data transmission between a single manhole cover and its neighboring manhole covers. When R≤26%, it means that the position of the monitored manhole cover has changed; The data analysis module determines the comprehensive index coefficient of the environment where the manhole cover is located based on the collected temperature and humidity of the single manhole cover and the temperature and humidity of the climate center, which are: In the formula, H represents the comprehensive index coefficient of the environment where the manhole cover is located, T represents the temperature measured by the manhole cover, R1 represents the humidity measured by the manhole cover, T0 represents the temperature collected from the climate center, and R0 represents the humidity collected from the climate center; The remote monitoring module compares the historical log data with the real-time monitoring data collected by the sensor, and combines the comprehensive index coefficient of the environment in which the manhole cover is located to issue an alarm for the abnormal state of the manhole cover, including: Among them, K represents the probability of abnormality of the manhole cover; and there are: In the formula, s represents the overlap between the real-time monitoring data of the manhole cover and the data recorded in the historical abnormal log, u represents the ratio of the inclination angle of real-time monitoring to the average inclination angle of historical log records, and p represents the ratio of the pressure size of real-time monitoring to the average pressure size of historical log records; When K≥78%, an abnormal alarm needs to be issued for the status of the manhole cover.

2. The smart manhole cover monitoring system according to claim 1, characterized in that: The sensor module specifically includes: a pressure sensor, a tilt sensor and a temperature and humidity sensor; The pressure sensor is used to detect the pressure change of the manhole cover, and can determine whether the manhole cover is opened or a vehicle passes by; The tilt sensor is used to measure the tilt angle or change of the manhole cover, and can determine whether the manhole cover is tilted or shifted; The temperature and humidity sensor is used to monitor the temperature and humidity changes in the air in real time, and can monitor the environmental conditions around the manhole cover.

3. The smart manhole cover monitoring system according to claim 1, characterized in that: The data analysis module specifically includes: a data acquisition module, a data cleaning module and an anomaly detection module; The data acquisition module is used to collect abnormal values ​​in the data detected by the sensor; The data cleaning module is used to clean and preprocess the data to ensure data quality and consistency. Data cleaning includes processing missing data and removing outliers and noise. The anomaly detection module identifies abnormal manhole cover status or abnormal environment based on historical data and set thresholds, and feeds back the abnormal status to the remote monitoring module.

4. The smart manhole cover monitoring system according to claim 1, characterized in that: The remote monitoring module specifically includes: an abnormal alarm module, a log analysis module and a rights management module; The abnormal alarm module is used to automatically identify abnormalities in the state of the manhole cover through data analysis and abnormality detection, including unauthorized opening, excessive tilting, and abnormal vibration; The log analysis module is used to access and analyze historical data to understand the long-term usage and trends of manhole covers; The authority management module is used to set the authority and roles of different users to ensure that only authorized personnel can perform remote operations and access key data.

5. The smart manhole cover monitoring system according to claim 1, characterized in that: The position change between adjacent manhole covers is determined by the data feedback speed, response rate and data loss between adjacent manhole covers in the Internet of Things module.

6. A control method for a smart manhole cover monitoring system according to any one of claims 1 to 5, characterized in that: The following steps are involved: S1. The sensor module integrated inside the smart manhole cover collects the state parameters of the manhole cover itself and the environmental state parameters; S2, the data is transmitted one by one through the IoT module inside the smart manhole cover, and finally transmitted to the control end; S3, the control end analyzes the status of the manhole cover at the node by the speed at which data is transmitted at different manhole cover nodes; S4. Analyze the status of smart manhole covers by comparing with historical data and combining with environmental data from the Climate Center; S5. The administrator manages the collected data and makes response strategies based on the alerts.

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