Comprehensive management method for monitoring abnormity of urban road well lid

Abstract

A comprehensive management method for urban road well lid abnormity monitoring comprises the steps that 1, pedestrians (non-motor vehicle road persons and motor vehicle road drivers) take pictures through mobile phones, and meanwhile well lid abnormity information is recorded into a municipal well lid management APP; and step 2, for cameras (cameras on pilotless automobiles and on the sides of urban roads), an image AI recognition algorithm is adopted, and manhole cover abnormal information is reported through a management APP open access protocol. And step 3, detecting the displacement and angle of the well lid by using a well lid Internet of Things sensor, collecting abnormal information, and reporting the abnormal information of the well lid through the management APP opening access protocol. And 4, the municipal well lid special informatization management server collects the abnormal information of the well lid reported in the three steps, and the information is screened after information de-duplication and information priority ranking. And step 5, according to the priority of the information in the step 4, issuing a short message or a WeChat message to a municipal well lid manager, and the municipal well lid manager querying and positioning the position of the abnormal well lid through the management APP and reporting the repair condition. The method can solve the problem of low abnormal monitoring efficiency of urban well lids, and effectively and timely protect the life and property safety of people.

Description

TECHNICAL FIELD

[0001] The patent belongs to the technical field of urban municipal infrastructure, and relates to a comprehensive management method for monitoring the abnormality of urban road manhole covers, in particular to the municipal informatization management of urban lifelines, and uses various informationization and intelligent means to realize an efficient and comprehensive method for the information management of municipal manhole covers. BACKGROUND

[0002] The field of urban municipal infrastructure includes manhole covers, pipe networks, roads, bridges, sanitation, gardens and many other aspects. The construction of urban lifelines is one of the main directions of the informatization management of urban municipal infrastructure in recent years. The construction of urban lifelines can realize the systematic management of the entire municipal infrastructure, intelligent decision-making, and effective protection of people's life and property safety.

[0003] In the construction of urban lifelines, the manhole cover special project is one of the aspects. At present, the manhole cover special project usually uses smart manhole covers (with Internet of Things sensor devices) to collect manhole cover information and complete the informatization management of the manhole cover special project. Although this method can monitor the displacement and angular displacement of the manhole cover, it is limited by factors such as sensor communication, power supply, waterproofness and information collection frequency, so it cannot efficiently and timely ensure effective monitoring of the current manhole cover. In order to maximize the dynamic monitoring of the manhole cover, a variety of means must be combined to achieve timely and efficient monitoring. SUMMARY

[0004] In order to overcome the shortcomings of the prior art, the purpose of the present application is to provide a comprehensive management method for monitoring the abnormality of urban road manhole covers, which is based on the monitoring elements possessed by urban roads and is divided into four aspects: people, unmanned vehicles, roadside cameras and manhole cover Internet of Things devices. According to the monitoring method of each aspect, the four information sources are fused, the problem manhole cover information is effectively distributed in a timely manner, and the application of this method can more efficiently, intelligently and comprehensively monitor the abnormality of manhole covers, and maximize the protection of people's life and property safety loss caused by the abnormality of manhole covers.

[0005] In order to achieve the above purpose, the technical solution adopted by the present application is: A comprehensive management method for monitoring the abnormality of urban road manhole covers, comprising the following steps: Step 1: the factor of people, including two aspects of non-motor vehicle lanes and motor vehicle lanes, through mobile phone shooting and manhole cover abnormality information reporting to the municipal manhole cover management APP. In order to encourage people to report abnormal manhole covers, the municipal manhole cover management APP gives a certain reward after adopting the reported information.

[0006] Step 1-1: the municipal manhole cover management APP can be a separate APP; it can also cooperate with traffic control 12123 and add a municipal manhole cover management module.

[0007] Step 1-2: Human factors, pedestrians on non-motor vehicle lanes on the road can encounter unusual manhole covers that can be reported on the APP. Pedestrians on motor vehicles on the road can park their vehicles on the roadside to open the APP and report unusual manhole covers.

[0008] Step 1-3: To encourage pedestrians to download and use the APP, administrative propaganda is needed, and a reward mechanism (such as returning phone fees or red envelope rewards to WeChat) is set up in the APP.

[0009] Step 2: Cameras, including those on self-driving cars and on the roadside of urban roads, use image AI recognition algorithms, based on the edge computing capabilities of the cameras, to report manhole cover abnormalities through the municipal manhole cover management open access protocol.

[0010] Step 2-1: The camera in the self-driving car serves as the core sensor, and the camera is used for AI image monitoring. The camera of the car manufacturer can be connected to the municipal manhole cover abnormal reporting information channel, and AI recognition technology is used to report abnormal manhole covers.

[0011] Step 2-2: The roadside cameras on urban roads are mostly under the jurisdiction of government departments. The cameras are used for AI image monitoring and can be connected to the municipal manhole cover abnormal reporting information channel. AI recognition technology is used to report abnormal manhole covers.

[0012] Step 2-3: The municipal manhole cover management open access protocol is a standard API, and users report manhole cover abnormal information according to the API interface.

[0013] Step 3: Manhole cover Internet of Things sensors, including displacement detection and angle detection, collect abnormal information and report manhole cover abnormal information through the municipal manhole cover management open access protocol.

[0014] Step 3-1: The sensor uses 4G communication and is installed under the manhole cover. It monitors whether the current manhole cover has moved through displacement calculation and angle calculation.

[0015] Step 3-2: When movement occurs, the 4G communication module is connected to the manhole cover management open protocol API to report information.

[0016] Step 4: The municipal manhole cover special information management server collects the manhole cover abnormal information reported in steps 1, 2, and 3, and after information deduplication and information priority sorting, it filters the information.

[0017] Step 4-1, Information deduplication: The abnormal information reported from multiple sources may be the same information for the same manhole cover. One of them can be retained based on information completeness. Information completeness refers to whether all necessary information is present.

[0018] Step 4-2, information priority ranking: in combination with the above-mentioned multiple information reporting means, there can be multiple abnormal manhole cover information, and in view of the number of municipal manhole cover managers, the importance of the road section can be sorted, and the abnormal manhole cover causing the most serious loss to the people's property is repaired in priority.

[0019] Step 5: according to the information priority in step 4, send a message or a WeChat message to the municipal manhole cover manager, so as to repair the problem in time. The municipal manhole cover manager can query the location of the abnormal manhole cover through the municipal manhole cover management APP, and report the repair situation.

[0020] The beneficial effects of the present application are: The present application integrates multiple abnormal manhole cover monitoring methods, and is more efficient, intelligent and comprehensive in abnormal manhole cover monitoring.

[0021] The abnormal manhole cover is dangerous to people's life and property safety, and the multi-method monitoring method is adopted, the AI recognition of the camera, the Internet of Things monitoring of the manhole cover, and a complete information chain is established, which is extremely important for the intelligent management of the city. BRIEF DESCRIPTION OF DRAWINGS

[0022] Figure 1 The system structure diagram of the present application is shown.

[0023] As Figure 1 shown, a comprehensive management method for city road manhole cover abnormal monitoring, characterized in that it comprises the following steps: Step 1: pedestrians (non-motor vehicle road people and motor vehicle drivers) take pictures through mobile phones and input manhole cover abnormal information into the municipal manhole cover management APP; Step 2: camera: collect the cameras on the unmanned vehicles and on the roadside of the city road, use image AI recognition algorithm (most municipal manhole covers are standard manhole covers, manually mark the manhole cover contour, damage and displacement, use YOLO series target monitoring model to judge the abnormal information: such as image segmentation to extract the manhole cover contour, calculate the height difference with the road surface, and consider it as convex or concave if the difference is greater than 3CM; such as damage monitoring, use ResNet to monitor the manhole cover damage and manhole cover cracks; such as displacement monitoring, compare the coordinates of the manhole cover center point with a certain position to issue an alarm), judge the abnormal information of the manhole cover in the collected photo information according to the edge computing ability of the camera, and report the manhole cover abnormal information through the management APP open access protocol; Step 3: use the manhole cover Internet of Things sensor (at present, the construction of the manhole cover special information system in the city lifeline system construction cannot be separated from the Internet of Things sensor, and there are special sensor equipment suppliers on the market, which can timely transmit the messages received by the Internet of Things to the information receiving end through the communication protocol), detect the displacement and angle of the manhole cover, collect abnormal information, and report the manhole cover abnormal information through the management APP open access protocol; Step 4: The special informatization management server of the municipal manhole cover (an information management system deployed on the server side, which has the ability to store, count and query message records and manhole cover abnormal pictures), collects the abnormal information of the manhole cover reported in the previous three steps, and filters the information after information deduplication and information priority sorting; Step 5: According to the priority of the information in step 4, send a short message or WeChat message to the municipal manhole cover manager, and the municipal manhole cover manager queries the location of the abnormal manhole cover through the management APP and reports the repair situation.

[0024] The management APP in step 1 is a municipal manhole cover management APP.

[0025] The management APP is a municipal APP developed separately or introduced into the traffic management 12123 information, and a municipal manhole cover management module is added.

[0026] The camera in the driverless car in step 2 is the core sensor, and the camera is used for AI image monitoring. The camera of the car manufacturer can be connected with the municipal manhole cover abnormal reporting information channel, and AI recognition technology is used to report the abnormal manhole cover.

[0027] The roadside camera in step 2 is mostly under the jurisdiction of the government department, and the camera is used for AI image monitoring. The camera can be connected with the municipal manhole cover abnormal reporting information channel, and AI recognition technology is used to report the abnormal manhole cover.

[0028] The management APP open access protocol in step 2 is a standard API, and the user reports the manhole cover abnormal information according to the API interface.

[0029] The manhole cover Internet of Things sensor in step 3 uses 4G communication and is installed under the manhole cover. Through displacement calculation and angle calculation, it monitors whether the current manhole cover has moved.

[0030] When the manhole cover moves, the 4G communication module is connected to the manhole cover management open protocol API to report the information.

[0031] The information deduplication in step 4 may have multiple sources of abnormal information for the same manhole cover information. One of them can be retained according to the information completeness, which refers to whether all necessary information exists.

[0032] The information priority sorting in step 4: According to the above-mentioned multiple information reporting means, there may be multiple abnormal manhole cover information. Given the number of municipal manhole cover managers, the importance of the road section can be sorted, and the most serious abnormal manhole cover that causes the most serious damage to people's property is repaired first.

Claims

1. A comprehensive management method for monitoring abnormalities in urban road manhole covers, characterized in that, Includes the following steps: Step 1: Pedestrians (non-motorized vehicle lanes and drivers of motorized vehicle lanes) take photos with their mobile phones and simultaneously record abnormal information about the manhole cover into the municipal manhole cover management APP; Step 2: For cameras (cameras on self-driving cars and cameras on the side of city roads), use image AI recognition algorithms and the edge computing capabilities of the cameras to determine abnormal information of manhole covers in the collected photos, and report the abnormal information of manhole covers through the open access protocol of the management APP. Step 3: Use IoT sensors for manhole covers to detect the displacement and angle of the manhole covers, collect abnormal information, and report the abnormal information of the manhole covers through the open access protocol of the management APP; Step 4: The municipal manhole cover special information management server collects the abnormal information of manhole covers reported in the previous three steps, and filters the information after deduplication and priority sorting. Step 5: Based on the priority of the information in Step 4, send SMS or WeChat messages to the municipal manhole cover management personnel. The municipal manhole cover management personnel can use the management APP to query and locate the abnormal manhole cover and report the repair status.

2. The comprehensive management method for monitoring abnormalities in urban road manhole covers according to claim 1, characterized in that, The management app in step 1 is a municipal manhole cover management app.

3. The comprehensive management method for monitoring abnormalities in urban road manhole covers according to claim 2, characterized in that, The management app mentioned is either a separately developed municipal app or incorporates information from the traffic management 12123 platform, with an added municipal manhole cover management module.

4. The comprehensive management method for monitoring abnormalities in urban road manhole covers according to claim 1, characterized in that, In step 2, the camera in the autonomous vehicle serves as the core sensor. The camera is used for AI image monitoring. The camera of the car manufacturer can connect with the municipality to report abnormal manhole covers, and use AI recognition technology to report abnormal manhole covers.

5. A comprehensive management method for monitoring abnormalities in urban road manhole covers according to claim 4, characterized in that, In step 2, the roadside cameras on urban roads are mostly under the jurisdiction of government departments. The cameras are used for AI image monitoring and can be connected with the municipal government to report abnormal manhole covers. AI recognition technology is used to report abnormal manhole covers.

6. The comprehensive management method for monitoring abnormalities in urban road manhole covers according to claim 1, characterized in that, In step 2, the management APP uses a standard API as its access protocol, and users report manhole cover anomaly information through the API interface.

7. A comprehensive management method for monitoring abnormalities in urban road manhole covers according to claim 1, characterized in that, In step 3, the manhole cover IoT sensor uses 4G communication and is installed under the manhole cover. It monitors whether the manhole cover has moved by calculating displacement and angle.

8. A comprehensive management method for monitoring abnormalities in urban road manhole covers according to claim 1, characterized in that, When the manhole cover moves during step 3, the information is reported via the 4G communication module through the open protocol API for manhole cover management.

9. A comprehensive management method for monitoring abnormalities in urban road manhole covers according to claim 1, characterized in that, In step 4, information deduplication is performed because abnormal information reported from multiple sources may inevitably be the same manhole cover information. One of the abnormal information can be retained based on information completeness, which refers to whether all necessary information exists.

10. A comprehensive management method for monitoring abnormalities in urban road manhole covers according to claim 1, characterized in that, In step 4, information priority sorting is performed as follows: Combining the above-mentioned multiple information reporting methods, there may be multiple abnormal manhole cover information. Given the number of municipal manhole cover management personnel, the importance of the road section can be sorted, and priority should be given to repairing the abnormal manhole covers that cause the most serious damage to people's property.

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