A real-time monitoring system for edge IoT agent devices

Abstract

The embodiment of the present application provides a real-time monitoring system for an edge IoT proxy device, in which the edge IoT proxy device classifies and processes the multi-type status monitoring data obtained during the on-site operation of the power transmission and transformation project, and pre-analyzes and judges the abnormal conditions of the status monitoring data to be regulated, so as to determine the abnormal status processing measure analysis end that analyzes and obtains the control processing measure suggestion information corresponding to the status monitoring data to be regulated. This avoids all the status monitoring data to be regulated from being analyzed and processed by the edge IoT proxy device or by the cloud server, reduces the bandwidth pressure of the cloud server for processing data, and at the same time improves the efficiency of handling abnormal conditions that occur during the on-site operation of the power transmission and transformation project, and improves the efficiency of construction safety monitoring during the construction of the power transmission and transformation project.

Description

Technical Field

[0001] The present application relates to the technical field of Internet of Things, and in particular to a real-time monitoring system for edge Internet of Things agent devices. Background Art

[0002] At present, there are many items that need to be monitored during the construction of power transmission and transformation projects in the power industry to ensure the safety of workers. There are many monitoring items in the construction process, for example, the stress state of tower components, the posture of towers in high-support formwork systems, the gas concentration inside the deep foundation pit used to support power transmission towers or substation equipment, and the posture of workers working on the towers. However, in the prior art, there are problems with the untimely and low-efficiency monitoring of the above-mentioned monitoring items during the construction of power transmission and transformation projects, which makes it impossible to timely ensure the construction safety during the construction of power transmission and transformation projects.

[0003] Therefore, how to improve the efficiency of construction safety monitoring during the construction of power transmission and transformation projects is a problem that needs to be solved. Summary of the invention

[0004] The embodiment of the present application provides a real-time monitoring system for an edge IoT agent device to improve the efficiency of construction safety monitoring during the construction of a power transmission and transformation project.

[0005] The embodiment of the present application provides a real-time monitoring system for an edge IoT agent device, including: a field monitoring device, a video acquisition device, an edge IoT agent device, a cloud server, and a cloud service platform user end; the field monitoring device is used to monitor multiple types of status monitoring data used to represent the safety status of the site during the on-site operation of the power transmission and transformation project, and send the multiple types of status monitoring data to the edge IoT agent device; the video acquisition device is used to collect on-site video data during the on-site operation of the power transmission and transformation project, and send the on-site video data to the edge IoT agent device; the edge IoT agent device is used to combine the multiple types of status monitoring data and the on-site video data to determine whether there is any status monitoring data to be regulated that needs to take regulatory measures in the multiple types of status monitoring data; if so, further determine to analyze and process the status monitoring data to be regulated to obtain an abnormal state processing measure analysis end that recommends regulatory processing measures, and the abnormal state processing measure analysis end includes the edge IoT agent device or The cloud server; if the abnormal state processing measure analysis end corresponding to the state monitoring data to be regulated is the edge IoT agent device, then control processing measure recommendation information for the state monitoring data to be regulated is generated, and the control processing measure recommendation information is sent to the cloud service platform user end; if the abnormal state processing measure analysis end corresponding to the state monitoring data to be regulated is the cloud server, then an analysis request message for requesting analysis and processing of the state monitoring data to be regulated is sent to the cloud server; the cloud server is used to analyze and process the state monitoring data to be regulated according to the analysis request message sent by the edge IoT agent device, and obtain control processing measure recommendation information for the state monitoring data to be regulated; and send the control processing measure recommendation information to the cloud service platform user end; the cloud service platform user end is used to obtain the control processing measure recommendation information sent by the edge IoT agent device or the cloud server, and display the control processing measure recommendation information.

[0006] Optionally, the edge IoT agent device is used to combine the multi-type status monitoring data and the on-site video data to determine whether there is any status monitoring data to be regulated that requires regulatory measures in the multi-type status monitoring data, including: combining the multi-type status monitoring data and the on-site video data to determine the safety status type corresponding to the multi-type status monitoring data; and judging whether there is any status monitoring data to be regulated that requires regulatory measures in the multi-type status monitoring data based on the safety status type corresponding to the multi-type status monitoring data.

[0007] Optionally, the edge IoT agent device is specifically used to detect that the monitoring value of at least one type of status monitoring data among the multi-type status monitoring data does not fall within the range of its corresponding safety status monitoring data, and the indication signal of the at least one type of status monitoring data shown in the on-site video data is an abnormal signal, then it indicates that the safety status type corresponding to the multi-type status monitoring data is an abnormal status type, and it is determined that there is status monitoring data to be regulated that requires regulatory measures to be taken among the multi-type status monitoring data.

[0008] Optionally, the edge IoT agent device is specifically used to further determine the abnormal state processing measure analysis end that analyzes and processes the state monitoring data to be regulated to obtain control processing measure suggestions, including: analyzing the abnormal state level to which the state monitoring data to be regulated belongs; and according to the abnormal state level to which the state monitoring data to be regulated belongs, determining the abnormal state processing measure analysis end that analyzes and processes the state monitoring data to be regulated to obtain control processing measure suggestions.

[0009] Optionally, the abnormal state level to which the state monitoring data to be regulated belongs includes a first abnormal state level used to indicate that the abnormal situation represented by the state monitoring data to be regulated belongs to a dangerous event that requires immediate control measures to resolve the abnormal situation; the edge IoT agent device is specifically used to obtain a preset safety state monitoring data range corresponding to the state monitoring data to be regulated; compare the monitoring value corresponding to the state monitoring data to be regulated with the preset safety state monitoring data range; if the monitoring value of the state monitoring data to be regulated is outside the preset safety state monitoring data range, and the difference between the monitoring value of the state monitoring data to be regulated and the critical value of the preset safety state monitoring data range is greater than a preset difference threshold, it indicates that the state monitoring data to be regulated The abnormal state level of the status monitoring data is the first abnormal state level; the abnormal state processing measure analysis end that determines to analyze and process the status monitoring data to be regulated to obtain the control processing measure suggestions is the edge IoT agent device; accordingly, the edge IoT agent device is used to generate control processing measure suggestion information for the status monitoring data to be regulated, including: predicting the time required to adjust the monitoring value of the status monitoring data to be regulated to a numerical value within the corresponding preset safety status monitoring data range, as the first adjustment time; generating instruction information for instructing operating personnel to evacuate the construction site of the power transmission and transformation project and adjust the monitoring value of the status monitoring data to be regulated to a numerical value within the corresponding preset safety status monitoring data range within the first adjustment time.

[0010] Optionally, the edge IoT agent device is also used to obtain, after a first preset time period, post-regulated state monitoring data after regulation processing of the state monitoring data to be regulated; if the monitoring value corresponding to the post-regulated state monitoring data is within the preset safety state monitoring data range, then send a prompt message to the cloud service platform user terminal to prompt that the state monitoring data to be regulated has been regulated and that the operator can work safely; and send the state monitoring data to be regulated, the abnormal state level corresponding to the state monitoring data to be regulated, and the post-regulated state monitoring data to the cloud server.

[0011] Optionally, the abnormal state level to which the state monitoring data to be regulated belongs includes a second abnormal state level used to indicate that the abnormal situation represented by the state monitoring data to be regulated does not belong to a dangerous event that requires immediate control measures to resolve the abnormal situation; the edge IoT agent device is specifically used to obtain a preset safety state monitoring data range corresponding to the state monitoring data to be regulated; compare the monitoring value corresponding to the state monitoring data to be regulated with the preset safety state monitoring data range; if the monitoring value of the state monitoring data to be regulated is outside the preset safety state monitoring data range, and the difference between the monitoring value of the state monitoring data to be regulated and the critical value of the preset safety state monitoring data range is less than or equal to a preset difference threshold, it indicates that the abnormal state level of the state monitoring data to be regulated is the second abnormal state level; determine to analyze and process the state monitoring data to be regulated to obtain The abnormal state handling measure analysis end of the control and processing measure recommendation is the cloud server; the cloud server is used to obtain the historical monitoring values ​​corresponding to the state monitoring data to be regulated obtained at multiple historical data monitoring moments before the current moment, and judge whether the current monitoring value of the state monitoring data to be regulated obtained at the current moment is an error value according to the current monitoring value of the state monitoring data to be regulated obtained at the current moment and the multiple historical monitoring values. If so, there is no need to generate control and processing measure recommendation information for the state monitoring data to be regulated; if not, predict the time required to adjust the current monitoring value of the state monitoring data to be regulated to a value within the corresponding preset safety state monitoring data range as the second adjustment time; generate indication information for indicating that the current monitoring value of the state monitoring data to be regulated is adjusted to a value within the preset safety state monitoring data range within the second adjustment time.

[0012] Optionally, the abnormal state level to which the state monitoring data to be regulated belongs includes a third abnormal state level for indicating that the edge IoT agent device does not have the ability to determine the control and processing measures corresponding to the abnormal situation existing in the state monitoring data to be regulated; the edge IoT agent device is specifically used to obtain a preset safety state monitoring data range corresponding to the state monitoring data to be regulated; compare the monitoring value corresponding to the state monitoring data to be regulated with the preset safety state monitoring data range; if the monitoring value of the state monitoring data to be regulated is the critical value of the preset safety state monitoring data range, and the changing trend of the critical value within a preset time period cannot be determined, it indicates that the abnormal state level of the state monitoring data to be regulated is the third abnormal state level; determine that the abnormal state processing measure analysis end for analyzing and processing the state monitoring data to be regulated to obtain control and processing measures is the cloud server; the cloud server is used to obtain the abnormal state processing measures related to the historical state monitoring database. Matching historical status monitoring data that matches the type of the status monitoring data to be regulated, obtaining the historical change trend of the critical value when the matching historical status monitoring data is at the critical value of the corresponding preset safety status monitoring data range; determining the future change trend of the status monitoring data to be regulated when it is the critical value according to the historical change trend when the matching historical status monitoring data is the critical value; if the change trend of the critical value is a positive change trend, the positive change trend is that multiple monitoring values ​​of the matching status monitoring data obtained within the second preset time length are all the critical values, or, the multiple monitoring values ​​of the matching status monitoring data obtained within the second preset time length include the critical value and the values ​​within the preset safety status monitoring data range, then it means that the future change trend of the status monitoring data to be regulated when it is the critical value is a positive predicted change trend, and the status monitoring data to be regulated does not need to take control processing measures, and there is no need to send abnormal prompt information to the cloud service platform user terminal.

[0013] Optionally, the cloud server is also used to: if the historical change trend of the critical value is a negative change trend, and the negative historical change trend is that multiple historical monitoring values ​​of the matching historical status monitoring data obtained within the second preset time period include the critical value and a value outside the preset safety status monitoring data range, then it indicates that the future change trend of the status monitoring data to be regulated is a critical value and a negative predicted change trend; take the value whose difference between the critical value and the value outside the preset safety status monitoring data range is greater than a preset difference threshold as the first deviation value; predict the time for the monitoring value to change from the critical value to the first deviation value as the third adjustment time; send the control processing measure recommendation information to the cloud service platform user terminal as an indication information for instructing the monitoring value of the status monitoring data to be regulated to be adjusted to the critical value within the third adjustment time.

[0014] Optionally, the edge IoT agent device is specifically used to detect that if the monitoring values ​​of the multi-type status monitoring data are all within the range of the corresponding safety status monitoring data and there is no abnormal signal in the on-site video data, it means that the safety status type corresponding to the multi-type status monitoring data is a normal status type, and it is determined that there is no status monitoring data to be regulated that requires regulatory measures in the multi-type status monitoring data, and the multi-type status monitoring data is sent to the cloud server according to a preset period.

[0015] Optionally, the on-site monitoring equipment includes at least one of the following monitoring equipment: high-support formwork monitoring equipment, wire operation force monitoring equipment, deep foundation pit gas monitoring equipment, and intelligent safety belt equipment;

[0016] The high formwork monitoring equipment is used to monitor and collect the support posture data of the high formwork support system under load in real time; the deep foundation pit gas monitoring equipment is used to monitor and collect the gas concentration data in the internal environment of the deep foundation pit in real time; the wire operation force monitoring equipment is used to monitor the wire tension data monitored by the tower wire and the anchor tension data borne by the anchor in real time during the wire operation; the intelligent safety belt equipment is used to monitor the posture data of the workers wearing the safety belts and the environmental monitoring data of the environment in which the workers are located in real time;

[0017] Accordingly, the on-site video data includes video data of the supports, tower cables, ground anchors in the high-support formwork support system, and workers wearing safety belts working on the supports;

[0018] The edge IoT agent device is used to comprehensively analyze and process the support posture data, the gas concentration data, the tower wire tension data, the anchor tension data, the personnel posture data and at least one of the environmental monitoring data, as well as the on-site video data, to determine whether there is any monitoring data of a state to be regulated that requires regulatory measures in the at least one data.

[0019] Compared with the prior art, the embodiments of the present application have the following advantages:

[0020] The edge IoT proxy device real-time monitoring system provided by the embodiment of the present application, the edge IoT proxy device performs a comprehensive analysis of the multi-type status monitoring data obtained by the on-site monitoring equipment and the on-site video data collected by the video acquisition equipment, and determines whether there is any status monitoring data to be regulated that needs to take control measures in the multi-type status monitoring data. If so, it is further determined that the abnormal state processing measure analysis end that analyzes and processes the status monitoring data to be regulated to obtain the control processing measure suggestion. Among them, the abnormal state processing measure analysis end includes an edge IoT proxy device or a cloud server. If it is determined that the abnormal state processing measure analysis end that processes the status monitoring data to be regulated is an edge IoT proxy device, the edge IoT proxy device analyzes and processes the status monitoring data to be regulated to obtain the control processing measure suggestion information. If it is determined that the abnormal state processing measure analysis end that processes the status monitoring data to be regulated is a cloud server, an analysis request message for requesting analysis and processing of the status monitoring data to be regulated is sent to the cloud server. The cloud server analyzes and processes the status monitoring data to be regulated to obtain the control processing measure suggestion information.

[0021] In the above process, the edge IoT agent device classified and processed the multi-type status monitoring data obtained by monitoring during the on-site operation of the power transmission and transformation project, and pre-analyzed and judged the abnormal conditions of the status monitoring data to be regulated, so as to determine the abnormal status processing measures analysis end for analyzing and obtaining the control and treatment measures recommendation information corresponding to the status monitoring data to be regulated. That is, the abnormal situation analysis and control and treatment measures determination of the status monitoring data to be regulated that have abnormal conditions and need to be regulated in the multi-type status monitoring data are classified, and the edge IoT agent device or the cloud server analyzes and processes the status monitoring data to be regulated to obtain the control and treatment measures recommendation information. It avoids all the status monitoring data to be regulated from being analyzed and processed by the edge IoT agent device or the cloud server, reduces the bandwidth pressure of the cloud server to process data, and at the same time improves the efficiency of handling abnormal situations that occur during the on-site operation of the power transmission and transformation project construction, and improves the efficiency of construction safety monitoring during the construction of the power transmission and transformation project. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1A logical framework diagram of a real-time monitoring system for an edge IoT agent device provided in an embodiment of the present application.

[0023] Figure 2 A flowchart of a method for an edge IoT agent device to determine status monitoring data to be regulated according to an embodiment of the present application.

[0024] Figure 3 A flow chart of a method for acquiring monitoring data of a state to be regulated provided in an embodiment of the present application. DETAILED DESCRIPTION

[0025] Many specific details are described in the following description to facilitate a full understanding of the present application. However, the present application can be implemented in many other ways than those described herein, and those skilled in the art can make similar generalizations without violating the connotation of the present application, so the present application is not limited by the specific implementation disclosed below.

[0026] The terms used in this application are only for the purpose of describing specific embodiments and are not intended to limit this application. The descriptions used in this application and the appended claims, such as "a", "first", and "second", are not limitations on quantity or sequence, but are used to distinguish the same type of information from each other.

[0027] The embodiment of the present application provides a real-time detection system for edge IoT proxy devices to improve the efficiency of construction safety monitoring during the construction of power transmission and transformation projects. Detailed description is given below.

[0028] In order to more clearly demonstrate the real-time monitoring system for edge IoT proxy devices provided in the embodiments of the present application, the application scenario of the real-time monitoring system for edge IoT proxy devices provided in the embodiments of the present application is first introduced.

[0029] The edge IoT proxy device real-time monitoring system provided in the embodiment of the present application is applied to the real-time monitoring of various monitoring items during the construction of the power transmission and transformation project. The edge IoT proxy device performs a comprehensive analysis on the data obtained by the real-time monitoring to determine the state monitoring data to be regulated that may exist therein. Then, further analysis is performed to determine the abnormal state processing measure analysis end that analyzes the state monitoring data to be regulated to obtain the control processing measure suggestion. The edge IoT proxy device analyzes and processes the state monitoring data to be regulated that needs to be processed in a timely manner and gives the control processing measure suggestion, and the cloud server analyzes and processes the control processing measure suggestion of other types of state monitoring data to be regulated. In this way, the state monitoring data to be regulated that exists in the multi-type state monitoring data during the on-site operation of the power transmission and transformation project is classified and processed. On the one hand, the edge IoT proxy device promptly handles the emergency situations that occur during the on-site operation of the power transmission and transformation project. On the other hand, it avoids sending all the data during the on-site operation of the power transmission and transformation project to the cloud server for analysis and processing, reduces the processing pressure of the cloud server, and at the same time improves the efficiency of handling abnormal situations that occur during the on-site operation of the power transmission and transformation project, and improves the efficiency of construction safety monitoring during the construction of the power transmission and transformation project.

[0030] Among them, during the construction of power transmission and transformation projects, it is usually necessary to monitor the following real-time monitoring data: the support posture of the high-support formwork support system under the action of load, the force data of the pole tower cable during the line operation and the force data of the ground anchor connected to the pole tower cable, the gas concentration data in the internal environment of the deep foundation pit, the posture data of the workers wearing safety belts to work on the support, and the environmental monitoring data of the environment in which the workers are located. By real-time monitoring of the above monitoring data during the construction of power transmission and transformation projects, it is determined whether there are abnormal conditions on the site during the construction of power transmission and transformation projects. If there are abnormal conditions, it indicates that there is monitoring data of the state to be regulated that requires regulatory measures. For the monitoring data of the state to be regulated that requires regulatory measures, the edge IoT agent device further analyzes and determines the abnormal state processing measure analysis end that analyzes and processes the monitoring data of the state to be regulated to obtain the regulatory processing measure recommendations.

[0031] The following combination Figure 1 The present invention specifically describes the process of monitoring data and processing the monitoring data in a real-time monitoring system of an edge IoT proxy device provided in an embodiment of the present application.

[0032] Please refer to Figure 1 , which is a logical framework diagram of a real-time monitoring system for edge IoT proxy devices provided by an embodiment of the present application. The following is a detailed introduction and description of the real-time monitoring system for edge IoT proxy devices provided by the present application through the embodiments of the present application.

[0033] The edge IoT proxy device real-time monitoring system 100 includes: an on-site monitoring device 101, a video acquisition device 102, an edge IoT proxy device 103, a cloud server 104, and a cloud service platform user terminal 105.

[0034] The field monitoring equipment 101 is used to monitor multiple types of status monitoring data used to represent the safety status of the site during the construction site operation of the power transmission and transformation project, and send the multiple types of status monitoring data to the edge IoT agent device.

[0035] The field monitoring device 101 provided in the embodiment of the present application may be a variety of field monitoring sensors, which are used to monitor various types of status monitoring data that may appear during the field operations of the power transmission and transformation project construction to indicate the safety status of the field construction.

[0036] The on-site monitoring equipment 101 includes at least one of the following monitoring equipment: high formwork monitoring equipment 101-1, wire operation force monitoring equipment 101-2, deep foundation pit gas monitoring equipment 101-3, and intelligent safety belt equipment 101-4.

[0037] The high formwork monitoring equipment 101-1 is used for real-time monitoring and collecting the support posture data of the high formwork support system under load; the deep foundation pit gas monitoring equipment 101-2 is used for real-time monitoring and collecting the gas concentration data in the internal environment of the deep foundation pit; the wire stringing operation force monitoring equipment 101-3 is used for real-time monitoring of the wire tension data monitored by the tower wire and the anchor tension data borne by the anchor during the wire stringing operation; the intelligent safety belt equipment 101-4 is used for real-time monitoring of the personnel posture data of the workers wearing safety belts and the environmental monitoring data of the environment in which the workers are located.

[0038] The high formwork monitoring device 101-1 monitors the support posture data of the support under the load in the high formwork support system to avoid the collapse of the support. The wire-string operation force monitoring device 101-2 specifically monitors the tension value of the pole tower guy wire and the ground anchor in the following way: a tension sensor is installed at the connection point between the pole tower guy wire and the ground anchor, and the tension value borne by the pole tower guy wire and the tension value borne by the ground anchor are detected by the tension sensor. If the tension value borne by the pole tower guy wire is greater than the preset force threshold, it is easy to cause the pole tower guy wire to be too large, causing the pole tower to collapse, tilt, etc., or the ground anchor to be pulled out when the force is too large. Therefore, real-time monitoring of the tension borne by the pole tower guy wire and the ground anchor during the wire-string operation can effectively avoid abnormal situations such as the collapse of the pole tower, tilting, or pulling out of the ground anchor during the wire-string operation.

[0039] The deep foundation pit gas monitoring equipment 101-3 monitors the gas concentration data of various gases in the deep foundation pit environment during the power transmission and transformation construction process, and then analyzes whether each gas concentration data exceeds the standard. If at least one gas concentration data exceeds the standard, it is necessary to adjust the gas concentration data to restore it to a safe concentration range. Among them, the deep foundation pit refers to a deep hole or cave used to support power transmission towers or substation equipment.

[0040] The video acquisition device 102 is used to collect on-site video data during the on-site operation of the power transmission and transformation project construction, and send the on-site video data to the edge IoT agent device.

[0041] The video acquisition device 102 provided in the embodiment of the present application collects on-site video data during the construction of the power transmission and transformation project, and sends it to the edge IoT agent device 103, so that the edge IoT agent device 103 can combine multiple types of status monitoring data and on-site video data to analyze whether there is any status monitoring data to be regulated that requires regulatory measures.

[0042] The above-mentioned monitoring devices mentioned based on the field monitoring equipment respectively obtain corresponding field monitoring data. Correspondingly, the field video data includes the support, tower guy wire, ground anchor in the high-support formwork support system, and video data of workers wearing safety belts working on the support.

[0043] Please refer to Figure 2 , which is a flow chart of a method for an edge IoT agent device to determine the corresponding state monitoring data to be regulated provided by an embodiment of the present application. Figure 2 In the example, the edge IoT agent device 103 determines the abnormal state processing measure analysis end through the following steps:

[0044] S201: combining the multi-type status monitoring data and the on-site video data, determining whether there is any status monitoring data to be regulated that requires regulation measures in the multi-type status monitoring data;

[0045] S202: If yes, further determining an abnormal state processing measure analysis end for analyzing and processing the state monitoring data to be regulated to obtain a regulation processing measure suggestion, wherein the abnormal state processing measure analysis end includes the edge IoT agent device or the cloud server;

[0046] S203: if the abnormal state processing measure analysis end corresponding to the state monitoring data to be regulated is the edge IoT agent device, generating regulation processing measure suggestion information for the state monitoring data to be regulated, and sending the regulation processing measure suggestion information to the cloud service platform user end;

[0047] S204: If the abnormal state processing measure analysis end corresponding to the state monitoring data to be regulated is the cloud server, an analysis request message for requesting analysis and processing of the state monitoring data to be regulated is sent to the cloud server.

[0048] The edge IoT proxy device 103 provided in the embodiment of the present application analyzes multiple types of status monitoring data through multiple types of status monitoring data and on-site video data. When it is determined that there is status monitoring data to be regulated, it further analyzes and determines the abnormal state processing measure analysis end for analyzing and obtaining the control processing measure suggestions for the status monitoring data to be regulated. The abnormal state processing measure analysis end includes the edge IoT proxy device 103 and the cloud server 104. After determining the abnormal state processing measure analysis end corresponding to the status monitoring data to be regulated, the edge IoT proxy device and the cloud server respectively process and analyze the corresponding types of status monitoring data to be regulated to obtain the control processing measure suggestion information for the status monitoring data to be regulated.

[0049] The edge IoT agent device is specifically used to perform comprehensive analysis and processing on the support posture data, the gas concentration data, the tower wire tension data, the anchor tension data, the personnel posture data and at least one of the environmental monitoring data, as well as the on-site video data, to determine whether there is any monitoring data of a state to be regulated that requires regulatory measures in the at least one data.

[0050] The cloud server 104 is used to analyze and process the state monitoring data to be regulated according to the analysis request message sent by the edge IoT agent device, obtain the regulation and processing measure recommendation information for the state monitoring data to be regulated; and send the regulation and processing measure recommendation information to the cloud service platform user terminal.

[0051] The cloud server 104 provided in the embodiment of the present application analyzes and determines the control and treatment measures suggestion information of the state monitoring data to be regulated according to the analysis request message sent by the edge IoT proxy device 103. Among them, for the state monitoring data to be regulated that the edge IoT proxy device cannot analyze and determine the control and treatment measures suggestion information, the edge IoT proxy device sends an analysis request message to the cloud server, and the cloud server performs analysis and processing. In addition, when there is no need to take control and treatment measures immediately for the abnormal situation of the state monitoring data to be regulated, the edge IoT proxy device also sends an analysis request message to the cloud server, and the cloud server performs analysis and processing. The state monitoring data to be regulated that belongs to an emergency situation during the construction site operation of the power transmission and transformation project is processed by the edge IoT proxy device, and the state monitoring data to be regulated that belongs to a non-emergency situation during the construction site operation of the power transmission and transformation project is processed by the cloud server, and the state monitoring data to be regulated that the edge IoT proxy device cannot analyze and process. Based on this method, the processing efficiency of abnormal situations occurring during the construction site operation of the power transmission and transformation project is improved, the bandwidth pressure of the cloud server to process all the field data is reduced, and the safety status monitoring efficiency during the construction site operation of the power transmission and transformation project is improved.

[0052] The cloud service platform client 105 is used to obtain the control and processing measure suggestion information sent by the edge IoT agent device or the cloud server, and display the control and processing measure suggestion information.

[0053] The above-mentioned edge IoT agent device determines the abnormal state processing measure analysis end, wherein the specific method of obtaining the state monitoring data to be regulated in step S201 can be referred to Figure 3 Flowchart shown. Figure 3 A flow chart of a method for acquiring monitoring data of a state to be regulated provided in an embodiment of the present application.

[0054] exist Figure 3 In the process, the edge IoT agent device obtains the state monitoring data to be regulated through the following steps:

[0055] S301: Determine the safety status type corresponding to the multi-type status monitoring data by combining the multi-type status monitoring data and the on-site video data;

[0056] S302: judging whether there is any state monitoring data to be regulated that requires regulation measures in the multiple types of state monitoring data according to the safety state types corresponding to the multiple types of state monitoring data.

[0057] Among them, to determine whether there is state monitoring data to be regulated in the multi-type state monitoring data, the multi-type state monitoring data and the on-site video data can be combined to first determine the safety state type corresponding to the multi-type state monitoring data. The safety state type is used to characterize the level of on-site safety state during the on-site operation of the power transmission and transformation project, which may include a normal working state level and an abnormal working state level.

[0058] The details are as follows: The first one is abnormal status type: if it is detected that the monitoring value of at least one type of status monitoring data among the multiple types of status monitoring data does not fall within the range of its corresponding safety status monitoring data, and the indication signal of at least one type of status monitoring data shown in the on-site video data is an abnormal signal, then it means that the safety status type corresponding to the multiple types of status monitoring data is an abnormal status type, and it is determined that there are status monitoring data to be regulated that require control measures in the multiple types of status monitoring data.

[0059] Among them, the multiple types of status monitoring data include at least one type of status monitoring data: the support posture data of the high-support formwork support system under load, the gas concentration data in the internal environment of the deep foundation pit, the wire tension data monitored by the tower wire during the wire stringing operation and the anchor tension data borne by the anchor, the personnel posture data of the workers wearing safety belts and the environmental monitoring data of the environment in which the workers are located.

[0060] There is at least one type of monitoring data in the multi-type status monitoring data whose monitoring value does not fall within the corresponding safe status monitoring data range. For example, the safe concentration range for oxygen concentration data in the internal environment of a deep foundation pit is 19.5% to 23.5%, and the critical values ​​are 19.5% and 23.5%. If the current oxygen concentration data obtained by monitoring is 19% or 24%, it means that the current oxygen concentration data does not fall within the corresponding safe status monitoring data range, and it is determined that the status monitoring data to be regulated in the multi-type status monitoring data is gas concentration data.

[0061] After determining that there are state monitoring data to be regulated that need to take control measures in the multi-type state monitoring data, further determine the abnormal state processing measures analysis end that processes and analyzes the state monitoring data to be regulated. That is, the above-mentioned step S202. The edge IoT agent device can specifically implement step S202 in the following manner. Specifically: the edge IoT agent device is specifically used to further determine the abnormal state processing measures analysis end that analyzes and processes the state monitoring data to be regulated to obtain control measures suggestions, including: analyzing the abnormal state level to which the state monitoring data to be regulated belongs; according to the abnormal state level to which the state monitoring data to be regulated belongs, determine the abnormal state processing measures analysis end that analyzes and processes the state monitoring data to be regulated to obtain control measures suggestions.

[0062] The abnormal state level to which the state data to be regulated belongs can indicate the urgency with which the abnormal phenomena in the construction site operation of the power transmission and transformation project represented by the state data to be regulated need to be handled, thereby determining the abnormal state handling measure analysis end for determining the control handling measure recommendations for the state monitoring data to be regulated.

[0063] Therefore, the abnormal state level of the state monitoring data to be regulated is different, and the corresponding abnormal state processing measures analysis end is different. The following is a specific analysis:

[0064] First abnormal state level: the abnormal state level to which the state monitoring data to be regulated belongs includes a first abnormal state level used to indicate that the abnormal situation represented by the state monitoring data to be regulated belongs to a dangerous event that requires immediate control measures to resolve the abnormal situation.

[0065] The edge IoT agent device is specifically used to obtain a preset safety status monitoring data range corresponding to the state monitoring data to be regulated; compare the monitoring value corresponding to the state monitoring data to be regulated with the preset safety status monitoring data range; if the monitoring value of the state monitoring data to be regulated is outside the preset safety status monitoring data range, and the difference between the monitoring value of the state monitoring data to be regulated and the critical value of the preset safety status monitoring data range is greater than the preset difference threshold, it indicates that the abnormal state level of the state monitoring data to be regulated is the first abnormal state level; determine that the abnormal state processing measure analysis end for analyzing and processing the state monitoring data to be regulated to obtain a control processing measure recommendation is the edge IoT agent device.

[0066] Continuing to explain with the example of the above oxygen concentration data, if the current oxygen concentration data is 18%, 18% is less than 19.5%, and the difference between 18% and 19.5% is greater than the preset difference threshold, for example, the preset difference threshold can be set to 1%. This means that the current oxygen concentration data in the internal environment of the deep foundation pit is likely to cause dangerous events such as hypoxia for workers in the construction environment inside the deep foundation pit, and control measures need to be taken immediately. Therefore, the abnormal state level to which this type of state monitoring data to be regulated belongs is determined to be the first abnormal state level.

[0067] The edge IoT agent device needs to take immediate control measures for the state monitoring data to be regulated at the first abnormal state level to resolve dangerous events that exist during the on-site operation of the power transmission and transformation project. Moreover, the edge IoT agent device can directly analyze and process the abnormal conditions of such state monitoring data to be regulated, and determine the control measures recommended. There is no need to send the state monitoring data to the cloud server for analysis and processing, which improves the efficiency of handling abnormal conditions during the on-site operation of the power transmission and transformation project, and also reduces the bandwidth pressure of the cloud server for processing data.

[0068] Correspondingly, the edge IoT agent device is used to generate control processing measure recommendation information for the state monitoring data to be regulated, including: predicting the time required to adjust the monitoring value of the state monitoring data to be regulated to a numerical value within the corresponding preset safety state monitoring data range, as the first adjustment time; generating instruction information for instructing operating personnel to evacuate the construction site of the power transmission and transformation project and adjust the monitoring value of the state monitoring data to be regulated to a numerical value within the corresponding preset safety state monitoring data range within the first adjustment time.

[0069] For the first abnormal state level, the edge IoT agent device takes the following control and processing measures: immediately adjust and process the state monitoring data to be adjusted, and instruct the operators to evacuate the construction site of the power transmission and transformation project. Through this control and processing measure recommendation information, the state monitoring data to be adjusted that has problems at the construction site is adjusted to ensure the safety of the operators at the construction site.

[0070] In addition, the edge IoT agent device sends the generated control and treatment measure recommendation information to the cloud service platform user end. The cloud service platform user end is the client of the data service platform in the equipment used by the operators during the on-site operation of the power transmission and transformation project. Based on the control and treatment measure recommendation information displayed by the cloud service platform user end, the operators control and process the monitoring data of the state to be controlled during the on-site operation of the power transmission and transformation project.

[0071] Therefore, after the operator performs control processing on the state monitoring data to be regulated, the on-site monitoring equipment is also used to send the state monitoring data after the control processing to the edge IoT agent device. Specifically, the edge IoT agent device is also used to obtain the post-control state monitoring data after the control processing of the state monitoring data to be regulated after a first preset time period, and if the monitoring value corresponding to the post-control state monitoring data is within the preset safety state monitoring data range, then send a prompt message to the cloud service platform user end to prompt that the state monitoring data to be regulated has completed the control and the operator can work safely; send the state monitoring data to be regulated, the abnormal state level corresponding to the state monitoring data to be regulated, and the post-control state monitoring data to the cloud server.

[0072] The edge IoT agent device further analyzes the state monitoring data after regulation. If the monitoring value corresponding to the data is within the preset safe state monitoring data range, it indicates that the abnormal situation corresponding to the data has been resolved, and the construction site of the power transmission and transformation project after regulation is suitable for operators to work safely. If the operator has evacuated the construction site during the process of regulating the state monitoring data to be regulated, a prompt message is sent to the user end of the cloud service platform to prompt that the state monitoring data to be regulated has been regulated and that the operator can work safely, so that the operator can timely grasp the safety status of the power transmission and transformation project construction site and reasonably and safely work for a reasonable time.

[0073] At the same time, the edge IoT agent device also needs to send the state monitoring data to be regulated, the abnormal state level corresponding to the state monitoring data to be regulated, and the state monitoring data after regulation to the cloud server, which will store them and provide a basis for obtaining control and processing measures for similar abnormal situations in the future.

[0074] Second abnormal state level: The abnormal state level to which the state monitoring data to be regulated belongs includes a second abnormal state level used to indicate that the abnormal situation represented by the state monitoring data to be regulated does not belong to a dangerous event that requires immediate control measures to resolve the abnormal situation.

[0075] The edge IoT agent device is specifically used to obtain a preset safety status monitoring data range corresponding to the state monitoring data to be regulated; compare the monitoring value corresponding to the state monitoring data to be regulated with the preset safety status monitoring data range; if the monitoring value of the state monitoring data to be regulated is outside the preset safety status monitoring data range, and the difference between the monitoring value of the state monitoring data to be regulated and the critical value of the preset safety status monitoring data range is less than or equal to the preset difference threshold, it indicates that the abnormal state level of the state monitoring data to be regulated is the second abnormal state level; determine that the abnormal state processing measure analysis end for analyzing and processing the state monitoring data to be regulated to obtain the control processing measure recommendation is the cloud server.

[0076] Continuing to explain with the example of the above oxygen concentration data, if the current oxygen concentration data is 19%, 19% is less than 19.5%, and the difference between 19% and 19.5% is less than the preset difference threshold (1%), it means that the current oxygen concentration data in the internal environment of the deep foundation pit is lower than the standard oxygen concentration data range required for the operators to work. If no regulation is performed, the operators will experience dangerous times such as hypoxia within a certain period of time. Therefore, the current oxygen concentration data needs to be regulated within a certain period of time. The abnormal state level to which this type of state monitoring data to be regulated belongs is determined as the second abnormal state level.

[0077] For the state monitoring data to be regulated at the second abnormal state level, the edge IoT proxy device can make a preliminary analysis to determine that the state monitoring data to be regulated needs to be regulated and processed. However, how to take regulated and processed measures for the state monitoring data to be regulated can be comprehensively analyzed and processed in combination with the monitoring values ​​corresponding to multiple other moments adjacent to the current acquisition moment of the state monitoring data to be regulated. However, the edge IoT proxy device does not have a data storage function and does not store the monitoring values ​​corresponding to multiple other moments adjacent to the current acquisition moment of the state monitoring data to be regulated. Therefore, the edge IoT proxy device sends an analysis request message to the cloud server to request analysis and processing of the state monitoring data to be regulated at the second abnormal state level.

[0078] The cloud server is used to obtain historical monitoring values ​​corresponding to the state monitoring data to be regulated obtained at multiple data monitoring moments before the current moment, and judge whether the current monitoring value of the state monitoring data to be regulated obtained at the current moment is an error value based on the current monitoring value of the state monitoring data to be regulated obtained at the current moment and the multiple corresponding historical monitoring values. If so, there is no need to generate control processing measure recommendation information for the state monitoring data to be regulated; if not, predict the time required to adjust the current monitoring value of the state monitoring data to be regulated to a value within the corresponding preset safety state monitoring data range as the second adjustment time; and generate indication information for instructing to adjust the current monitoring value of the state monitoring data to be regulated to a value within the preset safety state monitoring data range within the second adjustment time.

[0079] When the cloud server processes the monitoring data of the state to be regulated that belongs to the second abnormal state level, it can combine the historical monitoring values ​​corresponding to the monitoring data of the state to be regulated obtained at multiple historical data monitoring moments before the current moment, and determine whether the current monitoring value is an error value based on the current monitoring value obtained at the current time and the corresponding historical monitoring values ​​obtained at multiple historical data monitoring moments.

[0080] When it is determined that the current monitoring value is not an error value, the current monitoring value of the state monitoring data to be regulated is analyzed to determine the control treatment measure recommendation information for the state monitoring data to be regulated. Specifically, the time required to adjust the current monitoring value of the state monitoring data to be regulated to a value within the corresponding preset safety state monitoring data range is predicted as the second adjustment time, and prompt information is provided to the operator to adjust the current monitoring value of the state monitoring data to be regulated to a value within the preset safety state monitoring data range within the second adjustment time.

[0081] The third abnormal state level: the abnormal state level to which the state monitoring data to be regulated belongs includes a third abnormal state level used to indicate that the edge IoT agent device does not have the ability to determine the control and processing measures corresponding to the abnormal situation existing in the state monitoring data to be regulated.

[0082] The edge IoT agent device is specifically used to obtain a preset safety status monitoring data range corresponding to the status monitoring data to be regulated; compare the monitoring value corresponding to the status monitoring data to be regulated with the preset safety status monitoring data range; if the monitoring value of the status monitoring data to be regulated is a critical value of the preset safety status monitoring data range, and the changing trend of the critical value within a preset time period cannot be determined, it means that the abnormal state level of the status monitoring data to be regulated is the third abnormal state level; determine that the abnormal state processing measure analysis end for analyzing and processing the status monitoring data to be regulated to obtain a control processing measure recommendation is the cloud server.

[0083] Among them, if the edge IoT proxy device does not have the ability to determine the control measures corresponding to the abnormal situation existing in the state monitoring data to be regulated, it means that the edge IoT proxy device cannot determine whether the state monitoring data to be regulated needs to take control measures based on the monitoring value of the state monitoring data to be regulated. For the monitoring value of this type of state monitoring data to be regulated, it is necessary to conduct a comprehensive analysis and matching in combination with the historical state monitoring data to determine the control measures recommended for the state monitoring data to be regulated.

[0084] If the monitoring value of the state monitoring data to be regulated is the critical value of its predetermined preset safety state monitoring data range, the edge IoT agent device does not store the corresponding monitoring values ​​of the state monitoring data to be regulated at other times. Therefore, it is impossible to determine the change trend of the monitoring value of the state monitoring data to be regulated when it is the critical value. In this case, the cloud server needs to analyze and process the state monitoring data to be regulated in combination with the historical change trend corresponding to the state monitoring data to be regulated. Based on this situation, it is determined that the abnormal state processing measure analysis end that analyzes and processes the state monitoring data to be regulated to obtain the control processing measure recommendation is the cloud server.

[0085] The cloud server is used to obtain matching historical status monitoring data that matches the type of the status monitoring data to be regulated in the historical status monitoring database, and obtain the historical change trend of the critical value when the matching historical status monitoring data is at the critical value of the corresponding preset safety status monitoring data range; determine the future change trend of the status monitoring data to be regulated when it is the critical value based on the historical change trend when the matching historical status monitoring data is the critical value; if the change trend of the critical value is a positive change trend, the positive change trend is that multiple monitoring values ​​of the matching status monitoring data obtained within a second preset time period are all the critical values, or, the multiple monitoring values ​​of the matching status monitoring data obtained within the second preset time period include the critical value and the values ​​within the preset safety status monitoring data range, then it means that the future change trend of the status monitoring data to be regulated when it is the critical value is a normal predicted change trend, and no control processing measures are required for the status monitoring data to be regulated, and no abnormal prompt information needs to be sent to the cloud service platform user terminal.

[0086] When the monitoring value of the state data to be regulated is a critical value within the range of the corresponding preset safety state monitoring data, how to obtain the control and processing measures for the state monitoring data to be regulated requires determining the predicted change trend of the critical value within the future preset time period when the state monitoring data to be regulated is a critical value. Among them, it can be determined based on the historical change trend of the critical value when the matching historical state monitoring data of the same type as the state monitoring data to be regulated in the historical state monitoring database is a critical value.

[0087] Wherein, when the matching historical status monitoring data is a critical value, the historical change trend of the critical value includes a positive change trend and a negative change trend. Wherein, the positive change trend is that the multiple monitoring values ​​of the matching historical status monitoring data obtained within the second preset time length are all the critical values; or, the multiple monitoring values ​​of the matching historical status monitoring data obtained within the second preset time length include the critical value and a value within the preset safety status monitoring data range.

[0088] The negative change trend is that the multiple monitoring values ​​of the matching historical status monitoring data obtained within the second preset time period are the critical values ​​and the values ​​outside the preset safety status monitoring data range.

[0089] Therefore, when the matching historical state monitoring data is a critical value, the historical change trend of the critical value is different, and the control treatment measures corresponding to the matching historical state monitoring data are different.

[0090] Continuing to use oxygen concentration data as an example, the historical oxygen concentration data obtained within 10 minutes includes 5 monitoring values, all of which are 19.5%, or the historical oxygen concentration data obtained within 10 minutes includes 5 monitoring values, including: 19.5%, 20%, 19.5%, 19.5%, 20%. This situation shows that when the oxygen concentration data is a critical value, the change trend of the critical value is a positive change trend. In other words, the monitoring value will not change in the direction of deviating from the preset safety status monitoring data range within the second preset time length. Therefore, there is no need to take regulatory processing measures for the matching historical status monitoring data. Accordingly, when the monitoring value of the status monitoring data to be regulated is a critical value, there is no need to take regulatory processing measures for the status monitoring data to be regulated, and there is no need to send regulatory processing measures suggestions for the status monitoring data to be regulated to the user end of the cloud service platform.

[0091] The cloud server is also used to, if the historical change trend of the critical value is a negative change trend, and the negative historical change trend is that the multiple historical monitoring values ​​of the matching historical status monitoring data obtained within the second preset time period include the critical value and a value outside the preset safety status monitoring data range, then it indicates that the future change trend of the status monitoring data to be regulated is a critical value is a negative predicted change trend; take the value outside the preset safety status monitoring data range and the critical value whose difference is greater than the preset difference threshold as the first deviation value; predict the time for the monitoring value to change from the critical value to the first deviation value as the third adjustment time; send the control processing measure recommendation information to the cloud service platform user terminal as an indication information for instructing the monitoring value of the status monitoring data to be regulated to the critical value within the third adjustment time.

[0092] Continuing to use oxygen concentration data as an example, the historical oxygen concentration data obtained within 10 minutes includes 5 monitoring values, including: 19.5%, 19%, 18.5%, 18%, 18%. This situation shows that when the oxygen concentration data is a critical value, the change trend of the critical value is a negative change trend. In other words, the monitoring value changes in the direction of deviating from the preset safety status monitoring data range within the second preset time length. Therefore, it is necessary to take control measures for the matching historical status monitoring data.

[0093] Correspondingly, when the state monitoring data to be regulated is a critical value, the future change trend of the critical value is a negative predicted change trend. The control treatment measure suggestion for the state monitoring data to be regulated is: the indication information for indicating that the monitoring value of the state monitoring data to be regulated is adjusted to the critical value within the third adjustment time.

[0094] The above is a process of determining the abnormal state processing measure analysis end of the state monitoring data to be regulated according to the abnormal state type of the state monitoring data to be regulated, and the abnormal state processing measure analysis end analyzing and determining the control processing measure recommendation information of the state monitoring data to be regulated.

[0095] The second type is the normal status type: if the monitoring values ​​of the multi-type status monitoring data are all within the range of their corresponding safety status monitoring data, and there is no abnormal signal in the on-site video data, it means that the safety status type corresponding to the multi-type status monitoring data is the normal status type, and it is determined that there is no status monitoring data to be regulated that requires regulatory measures in the multi-type status monitoring data, and the multi-type status monitoring data is sent to the cloud server according to the preset period.

[0096] The monitoring values ​​of the multi-type status monitoring data are all within the corresponding safety status monitoring data range, indicating that the support posture data of the high-support formwork support system under load is within the corresponding safety status monitoring data range, the various gas concentration data in the internal environment of the deep foundation pit are all within the corresponding safety status monitoring data range, the pole tower wire tension data is within the corresponding safety status monitoring data range, the anchor tension data is within the corresponding safety status monitoring data range, the personnel posture data meets the corresponding safety personnel posture data requirements, and the environmental monitoring data meets the corresponding safety environment status data requirements. That is, if the multi-type status monitoring data are all in the standard qualified state, it means that the safety status type corresponding to the multi-type status monitoring data is the normal state type, and the operating personnel can perform safe operations during the on-site operation of the power transmission and transformation project.

[0097] Although the present application is disclosed as above in the form of a preferred embodiment, it is not intended to limit the present application. Any technical personnel in this field may make possible changes and modifications without departing from the spirit and scope of the present application. Therefore, the scope of protection of the present application shall be based on the scope defined by the claims of the present application.

Claims

1. A real-time monitoring system for edge IoT proxy devices, characterized in that: include: On-site monitoring equipment, video acquisition equipment, edge IoT agent devices, cloud servers, and cloud service platform user terminals; The field monitoring equipment is used to monitor multiple types of status monitoring data used to represent the safety status of the site during the construction site of the power transmission and transformation project, and send the multiple types of status monitoring data to the edge IoT agent device; The video acquisition device is used to collect on-site video data during the on-site operation of the power transmission and transformation project, and send the on-site video data to the edge IoT agent device; The edge IoT agent device is used to combine the multi-type status monitoring data and the on-site video data to determine whether there is status monitoring data to be regulated that needs to take regulatory measures in the multi-type status monitoring data, including: combining the multi-type status monitoring data and the on-site video data to determine the safety status type corresponding to the multi-type status monitoring data; judging whether there is status monitoring data to be regulated that needs to take regulatory measures in the multi-type status monitoring data according to the safety status type corresponding to the multi-type status monitoring data; if it is detected that there is at least one type of status monitoring data in the multi-type status monitoring data whose monitoring value does not fall within the range of its corresponding safety status monitoring data, and the indication signal of at least one type of status monitoring data in the on-site video data is an abnormal signal, it means that the safety status type corresponding to the multi-type status monitoring data is an abnormal status type, and it is determined that there is status monitoring data to be regulated that needs to take regulatory measures in the multi-type status monitoring data; determining to The abnormal state processing measure analysis end for analyzing and processing the state monitoring data to be regulated to obtain the control processing measure suggestion includes: analyzing the abnormal state level to which the state monitoring data to be regulated belongs; according to the abnormal state level to which the state monitoring data to be regulated belongs, determining the abnormal state processing measure analysis end for analyzing and processing the state monitoring data to be regulated to obtain the control processing measure suggestion, the abnormal state processing measure analysis end including the edge IoT agent device or the cloud server; if the abnormal state processing measure analysis end corresponding to the state monitoring data to be regulated is the edge IoT agent device, then generating the control processing measure suggestion information for the state monitoring data to be regulated, and sending the control processing measure suggestion information to the cloud service platform user end; if the abnormal state processing measure analysis end corresponding to the state monitoring data to be regulated is the cloud server, then sending the analysis request message for requesting the analysis and processing of the state monitoring data to be regulated to the cloud server; The cloud server is used to analyze and process the state monitoring data to be regulated according to the analysis request message sent by the edge IoT agent device, obtain the regulation and processing measure recommendation information for the state monitoring data to be regulated; and send the regulation and processing measure recommendation information to the cloud service platform user end; The cloud service platform user end is used to obtain the control and processing measure recommendation information sent by the edge IoT agent device or the cloud server, and display the control and processing measure recommendation information.

2. The system according to claim 1, characterized in that The abnormal state level to which the state monitoring data to be regulated belongs includes a first abnormal state level for indicating that the abnormal situation represented by the state monitoring data to be regulated belongs to a dangerous event that requires immediate control measures to solve the abnormal situation; The edge IoT agent device is specifically used to obtain a preset safety status monitoring data range corresponding to the status monitoring data to be regulated; Compare the monitoring value corresponding to the state monitoring data to be regulated with the preset safety state monitoring data range; If the monitoring value of the state monitoring data to be regulated is outside the preset safety state monitoring data range, and the difference between the monitoring value of the state monitoring data to be regulated and the critical value of the preset safety state monitoring data range is greater than the preset difference threshold, it indicates that the abnormal state level of the state monitoring data to be regulated is the first abnormal state level; Determine that the abnormal state processing measure analysis end for analyzing and processing the state monitoring data to be regulated to obtain the regulation processing measure suggestion is the edge IoT agent device; Accordingly, the edge IoT agent device is used to generate control processing measure recommendation information for the state monitoring data to be regulated, including: predicting the time required to adjust the monitoring value of the state monitoring data to be regulated to a value within the corresponding preset safety state monitoring data range as a first adjustment time; Generate instruction information for instructing workers to evacuate the construction site of the power transmission and transformation project and adjust the monitoring value of the state monitoring data to be regulated to a value within the corresponding preset safety state monitoring data range within the first adjustment time.

3. The system according to claim 2, characterized in that The edge IoT proxy device is further configured to obtain, after a first preset time period, regulated state monitoring data after the regulated state monitoring data is regulated, and if the monitoring value corresponding to the regulated state monitoring data is within the preset safety state monitoring data range, send a prompt message to the cloud service platform user end to prompt that the regulated state monitoring data has been regulated and the operator can operate safely; The monitoring data of the state to be regulated, the abnormal state level corresponding to the monitoring data of the state to be regulated, and the monitoring data of the state after regulation are sent to the cloud server.

4. The system according to claim 1, characterized in that The abnormal state level to which the state monitoring data to be regulated belongs includes a second abnormal state level for indicating that the abnormal situation represented by the state monitoring data to be regulated does not belong to a dangerous event that requires immediate control measures to be taken to resolve the abnormal situation; The edge IoT agent device is specifically used to obtain a preset safety status monitoring data range corresponding to the status monitoring data to be regulated; Compare the monitoring value corresponding to the state monitoring data to be regulated with the preset safety state monitoring data range; If the monitoring value of the state monitoring data to be regulated is outside the preset safety state monitoring data range, and the difference between the monitoring value of the state monitoring data to be regulated and the critical value of the preset safety state monitoring data range is less than or equal to the preset difference threshold, it indicates that the abnormal state level of the state monitoring data to be regulated is the second abnormal state level; Determine that the abnormal state processing measure analysis end for analyzing and processing the state monitoring data to be regulated to obtain the regulation processing measure suggestion is the cloud server; The cloud server is used to obtain historical monitoring values ​​corresponding to the state monitoring data to be regulated obtained at multiple historical data monitoring moments before the current moment, and judge whether the current monitoring value of the state monitoring data to be regulated obtained at the current moment is an error value according to the current monitoring value of the state monitoring data to be regulated obtained at the current moment and the multiple historical monitoring values. If so, there is no need to generate control processing measure recommendation information for the state monitoring data to be regulated; if not, predict the time required to adjust the current monitoring value of the state monitoring data to be regulated to a value within the corresponding preset safety state monitoring data range as the second adjustment time; Generate instruction information for instructing to adjust the current monitoring value of the state monitoring data to be regulated to a value within the preset safety state monitoring data range within the second adjustment time period.

5. The system according to claim 1, characterized in that The abnormal state level to which the state monitoring data to be regulated belongs includes a third abnormal state level for indicating that the edge IoT agent device is not capable of determining a control processing measure corresponding to the abnormal situation existing in the state monitoring data to be regulated; The edge IoT agent device is specifically used to obtain a preset safety status monitoring data range corresponding to the status monitoring data to be regulated; Compare the monitoring value corresponding to the state monitoring data to be regulated with the preset safety state monitoring data range; If the monitoring value of the state monitoring data to be regulated is a critical value of the preset safety state monitoring data range, and the change trend of the critical value within the preset time period cannot be determined, it means that the abnormal state level of the state monitoring data to be regulated is the third abnormal state level; Determine that the abnormal state processing measure analysis end for analyzing and processing the state monitoring data to be regulated to obtain the regulation processing measure suggestion is the cloud server; The cloud server is used to obtain matching historical status monitoring data that matches the type of the status monitoring data to be regulated in the historical status monitoring database, and obtain the historical change trend of the critical value when the matching historical status monitoring data is at the critical value of the corresponding preset safety status monitoring data range; determine the future change trend of the status monitoring data to be regulated when it is the critical value according to the historical change trend when the matching historical status monitoring data is the critical value; If the historical change trend of the critical value is a positive change trend, and the positive change trend means that multiple monitoring values ​​of the matching historical status monitoring data obtained within the second preset time period are all the critical values, or the multiple monitoring values ​​of the matching historical status monitoring data obtained within the second preset time period include values ​​within the range of the critical value and the preset safety status monitoring data, then it means that the future change trend of the status monitoring data to be regulated when it is the critical value is a positive predicted change trend, and no control measures need to be taken for the status monitoring data to be regulated, and no abnormal prompt information needs to be sent to the user end of the cloud service platform.

6. The system according to claim 5, characterized in that The cloud server is also used for, if the historical change trend of the critical value is a negative change trend, and the negative change trend is that the multiple monitoring values ​​of the matching historical state monitoring data obtained within the second preset time period include the critical value and a value outside the preset safety state monitoring data range, then it indicates that the future change trend of the state monitoring data to be regulated when it is the critical value is a negative predicted change trend; The difference between the value outside the preset safety status monitoring data range and the critical value is greater than the preset difference threshold as the first deviation value; the time duration for the monitoring value to change from the critical value to the first deviation value is predicted as the third adjustment time duration; The control processing measure suggestion information sent to the cloud service platform user terminal is instruction information for instructing to adjust the monitoring value of the state monitoring data to be regulated to the critical value within the third adjustment time period.

7. The system according to claim 1, characterized in that The edge IoT agent device is specifically used to detect that if the monitoring values ​​of the multi-type status monitoring data are all within the range of the corresponding safety status monitoring data and there is no abnormal signal in the on-site video data, it means that the safety status type corresponding to the multi-type status monitoring data is a normal status type, and it is determined that there is no status monitoring data to be regulated that requires regulatory measures in the multi-type status monitoring data, and the multi-type status monitoring data is sent to the cloud server according to a preset period.

8. The system according to claim 1, characterized in that The on-site monitoring equipment includes at least one of the following monitoring equipment: high-support formwork monitoring equipment, wire operation force monitoring equipment, deep foundation pit gas monitoring equipment, and intelligent safety belt equipment; The high formwork monitoring equipment is used to monitor and collect the support posture data of the high formwork support system under load in real time; the deep foundation pit gas monitoring equipment is used to monitor and collect the gas concentration data in the internal environment of the deep foundation pit in real time; the wire operation force monitoring equipment is used to monitor the wire tension data monitored by the tower wire and the anchor tension data borne by the anchor in real time during the wire operation; the intelligent safety belt equipment is used to monitor the posture data of the workers wearing the safety belts and the environmental monitoring data of the environment in which the workers are located in real time; Accordingly, the on-site video data includes video data of the supports, tower cables, ground anchors in the high-support formwork support system, and workers wearing safety belts working on the supports; The edge IoT agent device is used to comprehensively analyze and process the support posture data, the gas concentration data, the tension data of the tower guy wire, the anchor tension data, the personnel posture data and at least one of the environmental monitoring data, as well as the on-site video data, to determine whether there is any monitoring data of a state to be regulated that requires regulatory measures in the at least one data.

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