Anti-theft well lid and monitoring system based on cloud platform

Abstract

The invention discloses an anti-theft well lid based on a cloud platform and a monitoring system, relates to the technical field of well lid theft prevention and monitoring, and solves the technical problems of well lid state recognition, anomaly analysis, information output and the like. Illegal movement of the well lid can be found in time, the water level in the well lid can be accurately monitored and analyzed, a signal can be sent out in time when the water level is abnormal, danger caused by too deep accumulated water below the well lid is avoided, judgment on the closing rule of the well lid in the same area is beneficial for managers to know the overall operation condition of the well lid in the area, and the management efficiency is improved. Whether normal conditions such as construction exist in regularly closed well lids or not can be judged, abnormity of irregularly closed well lids can be found in time, measures can be taken, the pertinence and effectiveness of management are improved, the system can obtain and analyze well lid data in real time, and the timeliness and accuracy of information are guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of manhole cover anti-theft and monitoring technology, and in particular to an anti-theft manhole cover and monitoring system based on a cloud platform. Background Art

[0002] With the continuous development of cities, infrastructure construction is becoming increasingly perfect. As an important part of urban roads and various underground facilities, manhole covers are numerous and widely distributed. However, there are many problems with the traditional management of manhole covers, such as it is difficult to find the manhole cover in time after it is stolen, it is difficult to accurately judge the abnormal position of the manhole cover, and it is difficult to monitor the water level inside the manhole cover in real time. These problems not only bring hidden dangers to urban traffic safety, but also bring challenges to urban infrastructure management.

[0003] According to a manhole cover monitoring system with publication number CN108411943A, it is characterized by including a sensor component, a manhole cover status monitoring terminal, a cloud radio frequency module, a cloud server, a terminal device and a manhole cover monitoring server, the sensor component is connected to the manhole cover status monitoring terminal, the manhole cover status monitoring terminal is connected to the cloud radio frequency module, the cloud radio frequency module is connected to the cloud server, the cloud server is respectively connected to the terminal device and the manhole cover monitoring server via Ethernet, the cloud server is also connected to an alarm system, and the alarm system is connected to a manhole cover anti-theft device.

[0004] In recent years, with the continuous development of sensor technology, communication technology and cloud computing technology, the intelligent manhole cover monitoring system based on cloud platform has gradually become a hot research topic. These systems install various sensors on the manhole cover to monitor the position, status and internal water level of the manhole cover in real time, and upload this information to the cloud platform to achieve remote monitoring and management of the manhole cover. However, the current intelligent manhole cover monitoring system still has some shortcomings in terms of manhole cover status recognition, abnormal analysis and information output, which need further improvement and perfection. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides an anti-theft manhole cover and monitoring system based on a cloud platform, which solves some deficiencies in manhole cover status recognition, abnormality analysis and information output.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a cloud platform-based anti-theft manhole cover and monitoring system, including:

[0007] A manhole cover data acquisition module, used for transmitting the acquired measurement data to the manhole cover status identification module;

[0008] A manhole cover state recognition module is used to perform change analysis on the manhole cover position coordinates according to the measurement data transmitted by the manhole cover data acquisition module, generate state analysis results based on the change analysis, including: a normal position signal and an abnormal position signal, and transmit the state analysis results to the normal monitoring analysis module and the abnormal monitoring analysis module respectively;

[0009] The normal monitoring and analysis module is used to analyze the internal water level state of the anti-theft manhole cover according to the acquired normal position signal, and to perform monitoring and analysis based on the acquired measurement data and historical data, and to generate monitoring and analysis information, and then transmit the monitoring and analysis information to the monitoring information output module;

[0010] The abnormal monitoring and analysis module analyzes the generated position abnormality signal by calculating the movement amount of the anti-theft manhole cover and analyzing it in combination with the acquired historical data. At the same time, it combines the regional information in the same area for comprehensive analysis to generate specific cause information, and then transmits the specific cause information to the monitoring information output module.

[0011] The monitoring information output module is used to display the monitoring analysis information and specific cause information to the corresponding monitoring management personnel.

[0012] As a further solution of the present invention: the specific method in which the manhole cover state recognition module generates the state analysis result based on the change analysis is:

[0013] The fixed coordinates and positioning coordinates of the anti-theft manhole cover are obtained and compared and matched at the same time. When the fixed coordinates are different from the positioning coordinates, a position abnormality signal is generated. On the contrary, when the fixed coordinates are the same as the positioning coordinates;

[0014] The normal position signal is transmitted to the normal monitoring and analysis module, and the abnormal position signal is transmitted to the abnormal analysis module.

[0015] As a further solution of the present invention: the specific method of generating monitoring and analysis information by the normal monitoring and analysis module is:

[0016] Mark the current anti-theft manhole cover as the target object, obtain the internal water level data of the target object, obtain the internal water level data of the anti-theft manhole covers in the same area, and compare the internal water level data of the target object with the internal water level data in the same area;

[0017] If the internal water level data of the target object is different from the internal water level data of the same area, a water level abnormality signal is generated. Otherwise, if the internal water level data of the target object is not different from the internal water level data of the same area, a water level normal signal is generated and the water level abnormality signal is analyzed.

[0018] Obtain the internal water level data of the target object before time period t, calculate the periodic water level difference and perform analysis based on the periodic water level difference, and conduct comprehensive analysis based on the precipitation situation and corresponding drainage situation within time period t. If the periodic water level difference is abnormal, then generate anti-theft manhole cover abnormal information, otherwise, if the periodic water level difference is normal, then generate abnormal warning information;

[0019] The abnormal information of anti-theft manhole covers, abnormal warning information and normal water level signals are integrated to obtain monitoring and analysis information.

[0020] As a further solution of the present invention: the abnormal monitoring and analysis module generates specific cause information in the following manner:

[0021] The positioning coordinates of the anti-theft manhole cover are obtained, and the movement of the anti-theft manhole cover is calculated based on the fixed coordinates, and the movement is compared with the threshold. If the movement is greater than the threshold, it means that there is an abnormality in the anti-theft manhole cover, and an alarm message is generated and transmitted to the monitoring information output module. If the movement is less than the threshold, an abnormal movement signal is generated and the abnormal movement signal is analyzed.

[0022] As a further solution of the present invention: the specific method in which the abnormal monitoring and analysis module analyzes the abnormal movement signal is:

[0023] Then, the time point at which the current anti-theft manhole cover positioning coordinates are abnormal is obtained, and the area information in the same area as the current anti-theft manhole cover is obtained, and the obtained area information is analyzed, and the remaining anti-theft manhole covers in the same area are labeled as i, and i=1, 2, ..., j, where j represents the number of the remaining anti-theft manhole covers, and the closing information corresponding to the remaining anti-theft manhole covers i is obtained, and it is determined whether there is a pattern in the closing information of the remaining anti-theft manhole covers i, and the generated regularity judgment information includes: regular closure and irregular closure;

[0024] The specific regularity determination method is: if the remaining anti-theft manhole covers i change from the open state to the closed state after a period of time, and there is a repeated operation, it is determined to be regularly closed, otherwise it is determined to be irregularly closed;

[0025] Separate analyses were performed for regular closure and irregular closure.

[0026] As a further solution of the present invention: the abnormal monitoring and analysis module analyzes the regular closure situation in the following manner:

[0027] Obtain the regular closing interval time, and use the interval time as the standard value, and at the same time obtain the current anti-theft manhole cover interval time, and then compare the interval time with the standard value;

[0028] If the interval duration does not match the standard value, it means that there is an abnormality in the current anti-theft manhole cover closing interval duration, and an alarm message is generated. If the interval duration matches the standard value, it means that the current anti-theft manhole cover closing interval duration is normal, and normal monitoring information is generated.

[0029] As a further solution of the present invention: the abnormal monitoring and analysis module analyzes the irregular closing situation in the following manner:

[0030] Obtain the time point corresponding to the current anti-theft manhole cover, and judge the time point. If the time point is at the working time point, further judge the closing interval of the current anti-theft manhole cover, and the judgment method is: if the current anti-theft manhole cover has a closing interval, then generate normal monitoring information, otherwise if the current anti-theft manhole cover does not have a closing interval, then generate an alarm message;

[0031] If the time point is not at the working time point, an alarm message is directly generated.

[0032] The anti-theft manhole cover based on the cloud platform includes an anti-theft manhole cover steel structure frame, and the inner cavity of the anti-theft manhole cover steel structure frame is fixedly connected to multiple groups of steel structure support frames, and one end of the steel structure support frame is fixedly connected to the anti-theft manhole cover steel structure frame, and the other ends of the multiple steel structure support frames are fixedly connected to a positioning sensor, and one side of the positioning sensor is fixedly connected to a water depth detector, and the outside of the positioning sensor is fixedly connected to multiple groups of infrared detectors, and at the same time, the surface of the positioning sensor is fixedly connected to an identity recognition device;

[0033] And the positioning sensor, water depth detector and infrared detector are used to transmit the collected measurement data to the monitoring system, and the monitoring system is used to analyze the acquired measurement data.

[0034] The present invention provides an anti-theft manhole cover and monitoring system based on a cloud platform. Compared with the prior art, it has the following beneficial effects:

[0035] The present invention can timely discover illegal movement of manhole covers through real-time monitoring and accurate comparison of the manhole cover positioning coordinates. The precise monitoring and analysis of the water level inside the manhole cover can send a signal in time when the water level is abnormal, avoiding the danger caused by excessive water accumulation under the manhole cover. The judgment of the closing regularity of manhole covers in the same area helps managers understand the overall operation of manhole covers in the area. For manhole covers that are closed regularly, it can be judged whether there are normal conditions such as construction. For manhole covers that are closed irregularly, abnormalities can be discovered in time and measures can be taken, thereby improving the pertinence and effectiveness of management. The system can obtain and analyze the data of the manhole covers in real time, ensuring the timeliness and accuracy of information, improving the transparency of information, and providing strong support for urban infrastructure management. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1This is a schematic diagram of the overall structure of the anti-theft manhole cover of the present invention;

[0037] Figure 2 This is a principle block diagram of the monitoring system of the present invention;

[0038] Figure 3 It is a flow chart of the present invention;

[0039] In the figure: 1. Anti-theft manhole cover steel structure frame; 2. Steel structure support frame; 3. Positioning sensor; 4. Water depth detector; 5. Infrared detector; 6. Identity recognition device. DETAILED DESCRIPTION

[0040] 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.

[0041] For example, see Figure 1 The present application provides a cloud platform-based anti-theft manhole cover, comprising an anti-theft manhole cover steel structure frame (1), wherein the inner cavity of the anti-theft manhole cover steel structure frame (1) is fixedly connected to a plurality of steel structure support frames (2), and one end of the steel structure support frame (2) is fixedly connected to the anti-theft manhole cover steel structure frame (1), and the other ends of the plurality of steel structure support frames (2) are fixedly connected to a positioning sensor (3), and at the same time, one side of the positioning sensor (3) is fixedly connected to a water depth detector (4), and at the same time, the outside of the positioning sensor (3) is fixedly connected to a plurality of infrared detectors (5), and in summary, the corresponding power supply method adopts a battery method for power supply;

[0042] The positioning sensor (3), the water depth detector (4) and the infrared detector (5) are used to transmit the collected data to the monitoring system, and the monitoring system is used to analyze the collected data.

[0043] At the same time, an identity recognition device (6) is also installed on the main surface of the positioning sensor (3). The specific identity recognition device (6) is mainly used to identify the identity of the person using the intelligent manhole cover, and the specific identification process is as follows:

[0044] First, the user's identity information is obtained, where the identity information includes: personnel position and personnel authority. The user is first verified. If the system does not match the stored information when verifying the identity, it means that the user cannot open the manhole cover. If the system matches during identification, it means that the user can open the manhole cover.

[0045] Further analysis is performed on the authority of users who can open the manhole cover to determine whether the current user has sufficient authority to perform subsequent operations, and a corresponding judgment result is generated, where the judgment result includes: an authentication pass signal and an authentication fail signal, and the generated judgment result is further displayed to the corresponding operator.

[0046] For example 2, please refer to Figure 2 This embodiment is implemented on the basis of the first embodiment, and the difference from the first embodiment is as follows:

[0047] The monitoring system includes a manhole cover data acquisition module, a manhole cover status identification module, a normal monitoring and analysis module, an abnormal monitoring and analysis module and a monitoring information output module, and each of the above functional modules is unidirectionally electrically connected.

[0048] Among them, the manhole cover data acquisition module is used to acquire the measurement data transmitted by the positioning sensor (3), the water depth detector (4) and the infrared detector (5), and transmit the acquired measurement data to the manhole cover state recognition module. Specifically, the measurement data transmitted by the positioning sensor (3) is the manhole cover position coordinates, the measurement data transmitted by the water depth detector (4) is the internal water level data, and the water depth detector (4) here uses the principle of sound waves to detect the water depth, and the measurement data transmitted by the infrared detector (5) is the manhole cover closed state data.

[0049] The manhole cover status recognition module is used to identify the overall status of the anti-theft manhole cover based on the acquired measurement data, determine whether there is any change by analyzing the manhole cover position coordinates, and generate status analysis results, and the status analysis results include: normal position signal and abnormal position signal. At the same time, the status analysis results are transmitted to the normal monitoring analysis module and the abnormal monitoring analysis module respectively.

[0050] The fixed coordinates of the anti-theft manhole cover are obtained, and the fixed coordinates here represent the coordinates of the center point of the manhole cover, and the coordinates of the center point of the manhole cover are (0, 0) by default. Then, the positioning coordinates of the manhole cover transmitted by the positioning sensor (3) are obtained, and the positioning coordinates are compared and matched with the fixed coordinates; specifically, the comparison and matching method here is to compare and match the horizontal and vertical coordinates of the positioning coordinates with the fixed coordinates.

[0051] When the fixed coordinates do not match the positioning coordinates, it means that the position of the anti-theft manhole cover has changed, and a position abnormality signal is generated. For example, the original fixed coordinates are (0, 0), and the positioning coordinates transmitted by the positioning sensor become (2, 3). On the contrary, when the fixed coordinates match the positioning coordinates, it means that the position of the anti-theft manhole cover has not changed, and a position normal signal is generated.

[0052] The normal position signal is further transmitted to the normal monitoring and analysis module, and the abnormal position signal is transmitted to the abnormal analysis module.

[0053] A normal monitoring and analysis module is used to analyze the internal water level state of the anti-theft manhole cover according to the acquired normal position signal, and to perform monitoring and analysis based on the measurement data and historical data transmitted by the water depth detector (4), and to generate monitoring and analysis information at the same time, and then transmit the monitoring and analysis information to the monitoring information output module.

[0054] For the anti-theft manhole cover that generates a normal position signal, the internal water level data transmitted by the water depth detector (4) is obtained, and the internal water level data is monitored and analyzed at the same time, and the specific monitoring and analysis is as follows:

[0055] The current anti-theft manhole cover is marked as a target object, and the internal water level data of the anti-theft manhole covers in the same area are obtained. For example, the same area is set as an area with a radius of 500 meters with the target manhole cover as the center, and the internal water level data of the target object is compared with the internal water level data in the same area. If there is a difference between the internal water level data of the target object and the internal water level data in the same area, a water level abnormality signal is generated. For example, if the water level height of the target object is 30 cm, and the water level heights of other anti-theft manhole covers in the same area are mostly between 20 cm and 25 cm, the water level height difference between the target object and other manhole covers in the same area exceeds the preset 10 cm. On the contrary, if there is no difference between the internal water level data of the target object and the internal water level data in the same area, a water level normal signal is generated. For example, if there is no difference between the internal water level data of the target object and the internal water level data in the same area, that is, the water level height difference between the target manhole cover and other manhole covers in the same area is within the preset value of 10 cm; specifically, the difference here indicates that the water level height difference exceeds the preset value, and the specific value of the preset value is set by the operator, for example, the operator sets the preset value to 10 cm.

[0056] The generated water level abnormality signal is further analyzed to obtain the internal water level data of the target object before the time period t. For example, assuming that the time period t is 24 hours, the internal water level height of the target anti-theft manhole cover 24 hours ago is 20 cm, and the periodic water level difference is calculated. Assuming that the current water level height of the target object is 35 cm, the periodic water level difference is 15 cm. At the same time, according to the periodic water level difference, a comprehensive analysis is performed on the precipitation conditions and the corresponding drainage conditions within the time period t to determine whether there is an abnormality in the periodic water level difference. If the periodic water level difference is abnormal, the anti-theft manhole cover abnormal information is generated. Otherwise, if the periodic water level difference is normal, an abnormal warning information is generated.

[0057] In a specific example, if the precipitation in the area is very small, such as only 5 mm, within 24 hours, and the drainage system operates normally without blockages, the water level inside the manhole cover should not change so much under normal circumstances. At this time, it is judged that the periodic water level difference is abnormal, and the anti-theft manhole cover abnormal information is generated, indicating that there may be problems such as damaged manhole cover and blocked pipes causing water backflow.

[0058] On the contrary, if there is a large amount of precipitation in the area within 24 hours, such as 50 mm, and some areas of the drainage system are blocked to a certain extent, but after comprehensive consideration it is found that the periodic water level difference is within a reasonable range, for example, according to historical data and simulation calculations, under such precipitation and drainage conditions, the expected water level difference is between 10 cm and 20 cm, while the actual calculated periodic water level difference is 18 cm, which is within a reasonable range, then an abnormal warning information is generated.

[0059] The generated anti-theft manhole cover abnormal information, abnormal warning information and normal water level signal are further integrated to obtain monitoring and analysis information, and the monitoring and analysis information is transmitted to the monitoring information output module.

[0060] The monitoring information output module is used to display the acquired monitoring and analysis information to the corresponding monitoring management personnel.

[0061] Embodiment 3, as the embodiment 3 of the present invention, is different from embodiment 2 in the following aspects:

[0062] The abnormal monitoring and analysis module analyzes the generated position abnormality signal by calculating the movement amount of the anti-theft manhole cover and analyzing it in combination with the acquired historical data. At the same time, it combines the regional information in the same area for comprehensive analysis to generate specific cause information, and then transmits the specific cause information to the monitoring information output module.

[0063] Obtain the positioning coordinates of the anti-theft manhole cover, and calculate the movement of the anti-theft manhole cover based on the fixed coordinates. The movement here represents the change value of the horizontal coordinate of the anti-theft manhole cover, and compare the movement with the threshold. The threshold is calculated by the operator based on historical data. If the movement is greater than the threshold, it means that the anti-theft manhole cover is abnormal, and an alarm message is generated. If the movement is less than the threshold, a movement abnormality signal is generated and analyzed.

[0064] Then, the time point when the current anti-theft manhole cover positioning coordinate is abnormal is obtained, and the regional information in the same area of ​​the current anti-theft manhole cover is obtained, and the regional information here includes the closing information of the regional manhole cover, and the obtained regional information is analyzed, and the remaining anti-theft manhole covers in the same area are labeled as i, and i=1, 2, ..., j, where j represents the number of the remaining anti-theft manhole covers, and the closing information corresponding to the remaining anti-theft manhole covers i is obtained, and it is determined whether there is a pattern in the closing information of the remaining anti-theft manhole covers i, and regularity judgment information is generated, wherein the regularity judgment information includes: regular closure and irregular closure, and the specific regularity judgment method is: if the remaining anti-theft manhole covers i change from an open state to a closed state after a period of time, and the operation is repeated in the order of the labels, such a representation is a regular closure, and conversely, if some of the remaining anti-theft manhole covers i are always in an open state, such a representation is an irregular closure;

[0065] In a specific example, assume that there are five anti-theft manhole covers in the area, numbered i=1, 2, 3, 4, 5. Observe for a period of time, for example, set the observation time to 1 hour. If manhole cover 1 is open at the beginning and closes after 15 minutes, then manhole cover 2 is opened at 30 minutes and closed after 45 minutes, and in this order, the subsequent manhole covers repeat similar operations from opening to closing, and the overall operation shows a certain periodicity and sequence, then it is represented as regular closure.

[0066] If the generated regular judgment information is regular closure, the interval duration of the regular closure is obtained, and the interval duration is used as the standard value, and the standard value obtained here is an interval value. For example, after a period of observation, it is found that the interval duration of other regularly closed anti-theft manhole covers in the same area is in the interval of [20 minutes, 30 minutes]. At the same time, the interval duration of the current anti-theft manhole cover is obtained, and then the interval duration is compared with the standard value. If the interval duration does not match the standard value, for example, the interval duration of the current anti-theft manhole cover is 35 minutes, it means that there is an abnormality in the current anti-theft manhole cover closure interval duration, and an alarm message is generated. If the interval duration matches the standard value, it means that the current anti-theft manhole cover closure interval duration is normal, and normal monitoring information is generated. The normal monitoring information generated here indicates that the corresponding anti-theft manhole cover is under construction.

[0067] If the generated regularity judgment information is irregular closure, the time point corresponding to the current anti-theft manhole cover is obtained, and the time point is judged. If the time point is at the working time point, the working time point can usually be set from 8 am to 6 pm, and special circumstances are excluded here, then the closing interval of the current anti-theft manhole cover is further judged, and the judgment method is: if the current anti-theft manhole cover has a closing interval, normal monitoring information is generated, otherwise if the current anti-theft manhole cover does not have a closing interval, an alarm message is generated; in a specific example, for example, within a period of time, the manhole cover is opened and then closed, even if it is irregular, normal monitoring information is generated. This may be because temporary maintenance operations and other situations cause the manhole cover to close irregularly, but as long as there is a certain closing interval, it means that the state of the manhole cover is still within a certain monitorable range. On the contrary, if the current anti-theft manhole cover does not have a closing interval, that is, the manhole cover is always in an open state, then an alarm message is generated, because this may mean that the manhole cover is illegally opened or there is a serious problem such as a malfunction.

[0068] If the time point is not during working hours, an alarm message will be generated directly. For example, in the middle of the night or early morning, manhole covers should not be opened and closed frequently, so an alarm message will be generated directly. For example, if a certain anti-theft manhole cover is found to be in an irregular closed state at 3 a.m., the system will immediately issue an alarm.

[0069] The monitoring information output module is used to display the acquired specific reason information to the corresponding monitoring management personnel.

[0070] Embodiment 4, as the fourth embodiment of the present invention, focuses on combining the implementation processes of Embodiment 2 and Embodiment 3 for implementation.

[0071] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0072] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. The cloud platform-based monitoring system for anti-theft manhole covers is characterized by: include: A manhole cover state recognition module is used to perform change analysis on the manhole cover position coordinates according to the measurement data transmitted by the manhole cover data acquisition module, generate state analysis results based on the change analysis, including: a normal position signal and an abnormal position signal, and transmit the state analysis results to the normal monitoring analysis module and the abnormal monitoring analysis module respectively; The normal monitoring and analysis module is used to analyze the internal water level state of the anti-theft manhole cover according to the acquired normal position signal, and to perform monitoring and analysis based on the acquired measurement data and historical data, and to generate monitoring and analysis information, and then transmit the monitoring and analysis information to the monitoring information output module; The abnormal monitoring and analysis module analyzes the generated position abnormality signal by calculating the movement amount of the anti-theft manhole cover and analyzing it in combination with the acquired historical data. At the same time, it combines the regional information in the same area for comprehensive analysis to generate specific cause information, and then transmits the specific cause information to the monitoring information output module.

2. The cloud platform-based anti-theft manhole cover monitoring system according to claim 1 is characterized in that: It also includes a manhole cover data acquisition module and a monitoring information output module; A manhole cover data acquisition module, used for transmitting the acquired measurement data to the manhole cover status identification module; The monitoring information output module is used to display the monitoring analysis information and specific cause information to the corresponding monitoring management personnel.

3. The cloud platform-based anti-theft manhole cover monitoring system according to claim 1 is characterized in that: The specific method in which the manhole cover state recognition module generates the state analysis result based on the change analysis is: The fixed coordinates and positioning coordinates of the anti-theft manhole cover are obtained and compared and matched at the same time. When the fixed coordinates are different from the positioning coordinates, a position abnormality signal is generated. On the contrary, when the fixed coordinates are the same as the positioning coordinates; The normal position signal is transmitted to the normal monitoring and analysis module, and the abnormal position signal is transmitted to the abnormal analysis module.

4. The cloud platform-based anti-theft manhole cover monitoring system according to claim 1 is characterized in that: The specific method for the normal monitoring and analysis module to generate monitoring and analysis information is as follows: Mark the current anti-theft manhole cover as the target object, obtain the internal water level data of the target object, obtain the internal water level data of the anti-theft manhole covers in the same area, and compare the internal water level data of the target object with the internal water level data in the same area; If the internal water level data of the target object is different from the internal water level data of the same area, a water level abnormality signal is generated. Otherwise, if the internal water level data of the target object is not different from the internal water level data of the same area, a water level normal signal is generated and the water level abnormality signal is analyzed.

5. The cloud platform-based monitoring system for anti-theft manhole covers according to claim 4 is characterized in that: The specific method in which the normal monitoring and analysis module analyzes the abnormal water level signal is as follows: Obtain the internal water level data of the target object before time period t, calculate the periodic water level difference and perform analysis based on the periodic water level difference, and conduct comprehensive analysis based on the precipitation situation and corresponding drainage situation within time period t. If the periodic water level difference is abnormal, then generate anti-theft manhole cover abnormal information, otherwise, if the periodic water level difference is normal, then generate abnormal warning information; The abnormal information of anti-theft manhole covers, abnormal warning information and normal water level signals are integrated to obtain monitoring and analysis information.

6. The cloud platform-based monitoring system for anti-theft manhole covers according to claim 1 is characterized in that: The abnormal monitoring and analysis module generates specific cause information in the following manner: The positioning coordinates of the anti-theft manhole cover are obtained, and the movement of the anti-theft manhole cover is calculated based on the fixed coordinates, and the movement is compared with the threshold. If the movement is greater than the threshold, it means that there is an abnormality in the anti-theft manhole cover, and an alarm message is generated and transmitted to the monitoring information output module. If the movement is less than the threshold, an abnormal movement signal is generated and the abnormal movement signal is analyzed.

7. The cloud platform-based monitoring system for anti-theft manhole covers according to claim 6 is characterized in that: The specific method in which the abnormal monitoring and analysis module analyzes the abnormal movement signal is as follows: Then, the time point at which the current anti-theft manhole cover positioning coordinates are abnormal is obtained, and the area information in the same area as the current anti-theft manhole cover is obtained, and the obtained area information is analyzed, and the remaining anti-theft manhole covers in the same area are labeled as i, and i=1, 2, ..., j, where j represents the number of the remaining anti-theft manhole covers, and the closing information corresponding to the remaining anti-theft manhole covers i is obtained, and it is determined whether there is a pattern in the closing information of the remaining anti-theft manhole covers i, and the generated regularity judgment information includes: regular closure and irregular closure; The specific regularity determination method is: if the remaining anti-theft manhole covers i change from the open state to the closed state after a period of time, and there is a repeated operation, it is determined to be regularly closed, otherwise it is determined to be irregularly closed; Separate analyses were performed for regular closure and irregular closure.

8. The cloud platform-based monitoring system for anti-theft manhole covers according to claim 7 is characterized in that: The abnormal monitoring and analysis module analyzes the regular closure situation in the following manner: Obtain the regular closing interval time, and use the interval time as the standard value, and at the same time obtain the current anti-theft manhole cover interval time, and then compare the interval time with the standard value; If the interval duration does not match the standard value, it means that there is an abnormality in the current anti-theft manhole cover closing interval duration, and an alarm message is generated. If the interval duration matches the standard value, it means that the current anti-theft manhole cover closing interval duration is normal, and normal monitoring information is generated.

9. The cloud platform-based monitoring system for anti-theft manhole covers according to claim 7 is characterized in that: The abnormal monitoring and analysis module analyzes the irregular closing situation in the following manner: Obtain the time point corresponding to the current anti-theft manhole cover, and judge the time point. If the time point is at the working time point, further judge the closing interval of the current anti-theft manhole cover, and the judgment method is: if the current anti-theft manhole cover has a closing interval, then generate normal monitoring information, otherwise if the current anti-theft manhole cover does not have a closing interval, then generate an alarm message; If the time point is not at the working time point, an alarm message is directly generated.

10. A cloud platform-based anti-theft manhole cover, used to implement the monitoring system according to any one of claims 1 to 9, characterized in that: The invention comprises a steel structure frame (1) for preventing theft of manhole cover, wherein the inner cavity of the steel structure frame (1) is fixedly connected to a plurality of steel structure support frames (2), and one end of the steel structure support frame (2) is fixedly connected to the steel structure frame (1), the other ends of the plurality of steel structure support frames (2) are fixedly connected to a positioning sensor (3), one side of the positioning sensor (3) is fixedly connected to a water depth detector (4), and the outside of the positioning sensor (3) is fixedly connected to a plurality of infrared detectors (5), and the surface of the positioning sensor (3) is fixedly connected to an identity recognition device (6); The positioning sensor (3), the water depth detector (4) and the infrared detector (5) are used to transmit the collected measurement data to the monitoring system, and the monitoring system is used to analyze the acquired measurement data.

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