Electric power construction site safety monitoring and early warning system based on Internet of Things

Abstract

The invention belongs to the technical field of power construction supervision, and particularly relates to a power construction site safety monitoring and early warning system based on the Internet of Things, which comprises a fence monitoring output unit, a construction site monitoring unit, a gas atmosphere detection unit, an early warning generation decision unit and an intelligent display early warning unit, according to the invention, the fence monitoring output unit monitors the fence of the power construction site and judges the damage threat condition of the fence, and the construction site monitoring unit monitors the power construction site through a monitoring camera, and analyzes the image of the camera in real time to identify the abnormal wearing of personnel safety equipment and the abnormal operation behavior. The gas atmosphere detection unit analyzes the gas harmfulness degree of the power construction site, and the early warning generation decision-making unit triggers an alarm mechanism in time based on various monitoring analysis results, so that comprehensive monitoring and accurate early warning of the power construction site are realized, management personnel can take corresponding targeted countermeasures in time, and the safety of the power construction site is improved. And the safety of an electric power construction site is obviously improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power construction supervision, and in particular to an Internet of Things-based electric power construction site safety monitoring and early warning system. Background Art

[0002] Power construction refers to the entire process of efficiently and safely transmitting electric energy from the power generation end to the user end through technical means and engineering measures, encompassing the planning, construction, installation, commissioning, modification, and maintenance of power systems. Chinese invention patent publication number CN119692651A discloses a power construction monitoring method and system. This technical solution automatically determines the compliance of construction operations through on-site data collection and analysis and comparison by a remote server, eliminating the risk of human error and providing timely information on any abnormalities in the construction worker's condition. However, in actual application, the above-mentioned technical solution mainly focuses on monitoring the construction equipment and physical status of personnel at power construction sites. It is unable to combine fence damage threat assessment, power construction site monitoring and identification, and gas atmosphere detection and analysis to achieve comprehensive monitoring and accurate early warning of power construction sites. It is also difficult to assign corresponding management levels to power construction sites and accurately assess on-site inspection conditions, which is not conducive to reducing construction risks at power construction sites. In view of the above technical defects, a solution is now proposed. Summary of the Invention

[0003] The purpose of the present invention is to provide an Internet of Things-based power construction site safety monitoring and early warning system, which solves the problem that the existing technology cannot combine fence damage threat judgment, power construction site monitoring and identification, and gas atmosphere detection and analysis to achieve comprehensive monitoring and accurate early warning of power construction sites, and it is difficult to assign matching management levels to power construction sites and accurately evaluate on-site inspection conditions, resulting in high construction risks.

[0004] To achieve the above object, the present invention provides the following technical solutions: The IoT-based power construction site safety monitoring and early warning system includes a fence monitoring output unit, a construction site monitoring unit, a gas atmosphere detection unit, an early warning generation and decision-making unit, and an intelligent display early warning unit. The fence monitoring output unit monitors the fences set up around the power construction site, analyzes the damage threat status of the electronic fence, and determines whether to generate a fence status risk signal. When a fence status risk signal is generated, it is sent to the early warning generation and decision-making unit. The construction site monitoring unit monitors the power construction site through surveillance cameras, deploys a lightweight target detection model, analyzes camera images in real time, identifies abnormalities in personnel's safety equipment and operating behavior, and generates a monitoring risk signal when an anomaly is identified and sends it to the early warning generation and decision-making unit; The gas atmosphere detection unit analyzes the degree of harmfulness of the gas at the power construction site, and determines whether to generate an atmosphere risk signal through analysis. When an atmosphere risk signal is generated, it is sent to the early warning generation decision unit; the early warning generation decision unit triggers the alarm mechanism when it receives a fence status risk signal, a monitoring risk signal or an atmosphere risk signal, generates corresponding power construction early warning information and sends it to the intelligent display early warning unit for display.

[0005] Furthermore, the specific analysis process of the fence monitoring output unit is as follows: Several detection points are set on the fence, and the shaking amplitude of the corresponding detection points is collected. When the shaking amplitude exceeds the preset shaking amplitude threshold, the corresponding detection point is judged to be in an impact threat state; when it is judged to be in an impact threat state, its duration is collected in real time and marked as the threat duration measurement value, and the maximum and average shaking amplitudes in the corresponding duration period are marked as the threat amplitude value and threat indication value respectively; The hidden danger value of the detection point is calculated by taking the weighted sum of the threat duration measurement value, the threat amplitude value and the threat appearance value, and the hidden danger value of the detection point is compared with the preset hidden danger threshold of the detection point. If the hidden danger value of the detection point exceeds the preset hidden danger threshold of the detection point, the corresponding detection point will be marked as a damaged fence point; when a damaged fence point appears on the fence, a fence status alarm signal is generated.

[0006] Furthermore, the specific analysis process of the gas atmosphere detection unit is as follows: Obtain the types of harmful gases that need to be monitored at the power construction site, demarcate several activity areas at the power construction site, collect the real-time concentrations of the corresponding types of harmful gases in the corresponding activity areas, and compare the real-time concentrations of various types of harmful gases with the corresponding preset concentration thresholds one by one. If there is a type of harmful gas in the corresponding activity area whose real-time concentration exceeds the corresponding preset concentration threshold, the corresponding activity area will be marked as an abnormal atmosphere area; If there is no harmful gas type whose real-time concentration exceeds the corresponding preset concentration threshold in the corresponding activity area, the atmosphere assessment value of the corresponding activity area is obtained through analysis, and the atmosphere assessment value is numerically compared with the preset atmosphere assessment threshold. If the atmosphere assessment value exceeds the preset atmosphere assessment threshold, the corresponding activity area is marked as an abnormal atmosphere area; if there is an abnormal atmosphere area in the power construction site, an atmosphere risk signal is generated.

[0007] Furthermore, the specific analysis and acquisition method of the atmosphere evaluation value is as follows: A set of preset harmful weight values ​​is assigned to each type of harmful gas, and the real-time concentration of the corresponding type of harmful gas is calculated by ratio with the corresponding preset concentration threshold to obtain the concentration share value. The concentration share value of the corresponding type of harmful gas is multiplied by the corresponding preset harmful weight value to obtain the concentration risk value, and the concentration risk values ​​of all types of harmful gases in the corresponding activity area are summed up to obtain the atmosphere assessment value.

[0008] Furthermore, the early warning generation decision unit is communicatively connected to the collaborative management decision unit, and the early warning generation decision unit sends the generated power construction early warning information to the collaborative management decision unit. The collaborative management decision unit performs collaborative management decision analysis based on all power construction early warning information received within a unit time, and generates a matching management level through analysis, wherein the management level includes level A and level B, and the generated management level information is sent to the intelligent display early warning unit for display.

[0009] Furthermore, the specific analysis process of collaborative management decision analysis is as follows: The number of power construction warning messages generated for the power construction site per unit time is obtained and marked as the power construction warning frequency value. The power construction warning frequency value is compared with the preset power construction warning frequency threshold. If the power construction warning frequency value exceeds the preset power construction warning frequency threshold, the management level of the power construction site is marked as Class A. If the power construction alarm frequency value does not exceed the preset power construction alarm frequency threshold, the collaborative management decision value is obtained through time period split evaluation analysis, and the collaborative management decision value is numerically compared with the preset collaborative management decision threshold. If the collaborative management decision value exceeds the preset collaborative management decision threshold, the management level of the power construction site is marked as A; if the collaborative management decision value does not exceed the preset collaborative management decision threshold, the management level of the power construction site is marked as B.

[0010] Furthermore, the specific analysis process of the time period split evaluation analysis is as follows: A number of evaluation periods are set within a unit of time, and the number of times the power construction warning information is generated within the corresponding evaluation period is marked as the period frequency value. The evaluation period whose period frequency value exceeds the preset period frequency threshold is marked as a risk handling period; The number of danger handling periods per unit time is obtained and marked as the danger time detection value, and the maximum continuous number of danger handling periods is marked as the danger holding detection value. The collaborative management decision value is obtained by weighted summing up the power usage warning frequency value, the danger time detection value and the danger holding detection value.

[0011] Furthermore, the collaborative management decision-making unit is communicated with the on-site out-of-inspection analysis unit, which analyzes the manual inspection status of the power construction site within a unit time, generates a site management qualification signal or a site management risk signal through the analysis, and sends the site management qualification signal or the site management risk signal to the intelligent display and early warning unit for display.

[0012] Furthermore, the specific analysis process of the on-site off-test analysis unit is as follows: Several inspection points are set at the power construction site. A circle with a radius of T1 is drawn with the corresponding inspection point as the center, and the circular area is marked as the matching area. The on-site management personnel in the corresponding matching area are captured through surveillance images. If there is no on-site management personnel in the corresponding matching area, the corresponding inspection point is judged to be out of inspection. When it is determined that the corresponding inspection point is in the out-of-inspection state, the timing is started, the total duration of the corresponding inspection point in the out-of-inspection state in the unit time is obtained and marked as the total out-of-inspection time value, and the number of occurrences of the single duration of the corresponding inspection point in the out-of-inspection state exceeding the preset single duration threshold in the unit time is marked as the out-of-inspection frequency value, and the maximum single duration of the corresponding inspection point in the out-of-inspection state in the unit time is marked as the out-of-inspection amplitude; The out-of-inspection characteristic value is calculated by weighted summing up the total out-of-inspection time value, the out-of-inspection frequency value and the out-of-inspection amplitude value. Based on the management level of the power construction site, the corresponding preset out-of-inspection characteristic threshold is assigned to it. The out-of-inspection characteristic value is numerically compared with the corresponding preset out-of-inspection characteristic threshold. If the out-of-inspection characteristic value exceeds the preset out-of-inspection characteristic threshold, the corresponding inspection point is marked as a poor inspection point; if there is a poor inspection point at the power construction site within unit time, a site management risk signal is generated; if there is no poor inspection point at the power construction site within unit time, a site management qualified signal is generated.

[0013] Furthermore, the process of assigning the preset out-of-detection feature threshold is as follows: The management level of the power construction site is obtained. If the management level of the power construction site is A, a preset out-of-detection feature threshold YP1 is assigned to it; if the management level of the power construction site is B, a preset out-of-detection feature threshold YP2 is assigned to it, and YP2>YP1>0.

[0014] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention combines fence damage threat analysis, power construction site monitoring and identification, and gas atmosphere detection and analysis to achieve comprehensive monitoring of power construction sites. The early warning generation and decision-making unit triggers the alarm mechanism promptly and accurately based on the various monitoring and analysis results, facilitating managers to take timely and targeted response measures, significantly improving the safety of power construction sites. 2. In the present invention, collaborative management decision analysis is used to generate a management level that matches the power construction site, which is conducive to formulating a matching supervision plan for the power construction site, reducing the difficulty of supervision planning at the power construction site and ensuring the rationality of the planning, and through the on-site off-site inspection analysis unit, the manual inspection status of the power construction site per unit time is analyzed, and when the on-site management risk signal is generated, the execution supervision of on-site management personnel is strengthened, further reducing the construction risk of the power construction site. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings; Figure 1 This is a system block diagram of Embodiment 1 of the present invention; Figure 2 This is a system block diagram of Embodiment 2 and Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0016] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0017] Example 1: Figure 1 As shown, the electric power construction site safety monitoring and early warning system based on the Internet of Things proposed by the present invention includes a fence monitoring output unit, a construction site monitoring unit, a gas atmosphere detection unit, an early warning generation and decision unit, and an intelligent display early warning unit; The fence monitoring output unit monitors the fences set up around the power construction site, analyzes the damage threat status of the electronic fence, and determines whether to generate a fence status risk signal. When the fence status risk signal is generated, it is sent to the early warning generation decision unit. Upon receiving the fence status risk signal, the early warning generation decision unit triggers the alarm mechanism, generates the corresponding power construction early warning information, and sends it to the intelligent display early warning unit for display, so as to remind management personnel to promptly check and reinforce the damaged parts, continuously ensure the barrier effect of the fence, and help improve the safety of the power construction site. The specific analysis process of the fence monitoring output unit is as follows: Several detection points are set on the fence, and the shaking amplitude of the corresponding detection points is collected. When the shaking amplitude exceeds the preset shaking amplitude threshold, the corresponding detection point is judged to be in an impact threat state; when it is judged to be in an impact threat state, its duration is collected in real time and marked as the threat duration measurement value, and the maximum and average shaking amplitudes in the corresponding duration period are marked as the threat amplitude value and threat indication value respectively; The hidden danger value of the detection point is calculated by taking the weighted sum of the threat duration measurement value, the threat amplitude value, and the threat appearance value. That is, the threat duration measurement value, the threat amplitude value, and the threat appearance value are assigned corresponding preset weight coefficients, and the threat duration measurement value, the threat amplitude value, and the threat appearance value are multiplied by the corresponding preset weight coefficients respectively, and the sum of the three sets of product results is marked as the hidden danger value of the detection point. It should be noted that the larger the value of the hidden danger value of the detection point, the greater the damage to the corresponding detection point caused by the external impact. The hidden danger value of the detection point is compared with the preset hidden danger threshold of the detection point. If the hidden danger value of the detection point exceeds the preset hidden danger threshold of the detection point, it indicates that the corresponding detection point is likely to be subjected to external impact, which may easily cause damage to the corresponding position of the fence. The corresponding detection point is marked as a damaged point of the fence; when a damaged point appears on the fence, it indicates that there is a safety hazard in the fence, which is not conducive to maintaining its barrier effect, and a fence status alarm signal is generated.

[0018] The construction site monitoring unit monitors the power construction site through surveillance cameras, deploys a lightweight target detection model, analyzes the camera images in real time, identifies abnormalities in the wearing of personnel safety equipment and abnormal operating behaviors, and generates a monitoring risk signal when an anomaly is identified and sends it to the early warning generation decision unit. The early warning generation decision unit triggers the alarm mechanism upon receiving the monitoring risk signal, generates corresponding power construction early warning information and sends it to the intelligent display early warning unit for display, so as to remind management personnel to correct the behavior of on-site construction personnel in a timely manner, avoid construction safety accidents, and reduce the risk of power construction sites.

[0019] The gas atmosphere detection unit analyzes the harmfulness of gases at the power construction site and determines whether an atmosphere risk signal is generated. When an atmosphere risk signal is generated, it is sent to the early warning generation and decision-making unit. The early warning generation and decision-making unit triggers the alarm mechanism upon receiving the atmosphere risk signal, generates corresponding power construction early warning information, and sends it to the intelligent display early warning unit for display, so as to remind management personnel to evacuate personnel in the corresponding area, avoid harm to the health of construction personnel, and further reduce the risk of power construction sites. The specific analysis process of the gas atmosphere detection unit is as follows: Obtain the types of harmful gases that need to be monitored at the power construction site (such as hydrogen sulfide, methane, carbon monoxide, sulfur hexafluoride decomposition products, etc.), demarcate several activity areas at the power construction site, collect the real-time concentrations of the corresponding types of harmful gases in the corresponding activity areas, and compare the real-time concentrations of various types of harmful gases with the corresponding preset concentration thresholds one by one. If the real-time concentration of the harmful gas type in the corresponding activity area exceeds the corresponding preset concentration threshold, it indicates that the gas atmosphere in the corresponding activity area is highly hazardous, and the corresponding activity area is marked as an atmosphere abnormal area; If there is no hazardous gas type with a real-time concentration exceeding the corresponding preset concentration threshold in the corresponding activity area, a set of preset hazard weight values ​​(all values ​​are greater than zero) are assigned to each type of hazardous gas. It should be noted that the higher the safety hazard posed by the corresponding type of hazardous gas, the larger the preset hazard weight value corresponding to it; The concentration of the corresponding type of harmful gas is calculated by comparing the real-time concentration with the corresponding preset concentration threshold to obtain a concentration occupancy value, the concentration occupancy value of the corresponding type of harmful gas is multiplied by the corresponding preset harmful weight value to obtain a concentration risk value, and the concentration risk values ​​of all types of harmful gases in the corresponding activity area are summed to obtain an atmosphere assessment value; The atmosphere assessment value is numerically compared with the preset atmosphere assessment threshold. If the atmosphere assessment value exceeds the preset atmosphere assessment threshold, it indicates that the gas atmosphere in the corresponding activity area is highly hazardous, and the corresponding activity area is marked as an abnormal atmosphere area; if there is an abnormal atmosphere area in the power construction site, it indicates that the gas atmosphere at the power construction site is in poor condition, and an atmosphere risk signal is generated.

[0020] The early warning generation decision unit triggers the alarm mechanism when receiving the fence status risk signal, monitoring risk signal or atmosphere risk signal, generates corresponding power construction early warning information and sends it to the intelligent display early warning unit for display.

[0021] Example 2: Figure 2 As shown, the difference between this embodiment and the first embodiment is that the early warning generation decision unit is communicatively connected to the collaborative management decision unit. The early warning generation decision unit sends the generated power construction early warning information to the collaborative management decision unit, and the collaborative management decision unit performs collaborative management decision analysis based on all the power construction early warning information received within a unit time. Through analysis, matching management levels are generated, including A and B levels. The generated management level information is sent to the intelligent display and early warning unit for display. This is conducive to formulating matching supervision plans for power construction sites, realizing dynamic optimization and adjustment of construction site supervision measures, reducing the difficulty of supervision planning for power construction sites and ensuring the rationality of planning. The specific analysis process of collaborative management decision analysis is as follows: The number of power construction warning messages generated for the power construction site within a unit time is obtained and marked as the power construction warning frequency value. The power construction warning frequency value is compared with the preset power construction warning frequency threshold. If the power construction warning frequency value exceeds the preset power construction warning frequency threshold, it indicates that the safety hazard of the power construction site within the unit time is high and the site management needs to be strengthened in a timely manner. In this case, the management level of the power construction site is marked as Class A. If the power construction warning frequency value does not exceed the preset power construction warning frequency threshold, a number of evaluation periods are set within the unit time, the number of times the power construction warning information is generated within the corresponding evaluation period is marked as the period frequency value, the evaluation period whose period frequency value exceeds the preset period frequency threshold is marked as a risk handling period, the number of risk handling periods within the unit time is obtained and marked as the risk time detection value, and the maximum consecutive number of risk handling periods is marked as the risk holding detection value; The collaborative management decision value is calculated by weighted summing the power usage warning frequency value, the dangerous time detection value, and the dangerous holding detection value; that is, the power usage warning frequency value, the dangerous time detection value, and the dangerous holding detection value are respectively assigned corresponding preset weight coefficients, and the power usage warning frequency value, the dangerous time detection value, and the dangerous holding detection value are respectively multiplied by the corresponding preset weight coefficients, and the sum of the three sets of product results is marked as the collaborative management decision value; it should be noted that the larger the value of the collaborative management decision value, the higher the overall safety hazards at the power construction site per unit time, and the more necessary it is to strengthen on-site management; The collaborative management decision value is numerically compared with the preset collaborative management decision threshold. If the collaborative management decision value exceeds the preset collaborative management decision threshold, it indicates that the safety hazards at the power construction site per unit time are generally high and on-site management needs to be strengthened. The management level of the power construction site is marked as A. If the collaborative management decision value does not exceed the preset collaborative management decision threshold, it indicates that the safety hazards at the power construction site per unit time are generally low. The management level of the power construction site is marked as B.

[0022] Example 3: Figure 2 As shown, the difference between this embodiment and the first and second embodiments is that the collaborative management decision-making unit is communicatively connected to the on-site inspection-outage analysis unit. The on-site inspection-outage analysis unit analyzes the manual inspection status of the power construction site within a unit time, generates a site management qualification signal or a site management risk signal through analysis, and sends the site management qualification signal or the site management risk signal to the intelligent display and early warning unit for display, so as to timely strengthen the execution supervision of the on-site management personnel, ensure the inspection execution status of each location at the power construction site, and significantly reduce the construction risk of the power construction site. The specific analysis process of the on-site inspection-outage analysis unit is as follows: Several inspection points are set at the power construction site. A circle with a radius of T1 is drawn with the corresponding inspection point as the center, and the circular area is marked as the matching area. The on-site management personnel in the corresponding matching area are captured through surveillance images. If there is no on-site management personnel in the corresponding matching area, the corresponding inspection point is judged to be out of inspection. When it is determined that the corresponding inspection point is in the out-of-inspection state, the timing is started, the total duration of the corresponding inspection point in the out-of-inspection state in the unit time is obtained and marked as the total out-of-inspection time value, and the number of occurrences of the single duration of the corresponding inspection point in the out-of-inspection state exceeding the preset single duration threshold in the unit time is marked as the out-of-inspection frequency value, and the maximum single duration of the corresponding inspection point in the out-of-inspection state in the unit time is marked as the out-of-inspection amplitude; The out-of-inspection characteristic value is calculated by taking a weighted sum of the total out-of-inspection time value, the out-of-inspection frequency value and the out-of-inspection amplitude, that is, the total out-of-inspection time value, the out-of-inspection frequency value and the out-of-inspection amplitude are respectively assigned corresponding preset weight coefficients, and the total out-of-inspection time value, the out-of-inspection frequency value and the out-of-inspection amplitude are respectively multiplied by the corresponding preset weight coefficients, and the sum of the three sets of product results is marked as the out-of-inspection characteristic value; it should be noted that the larger the value of the out-of-inspection characteristic value, the worse the overall execution performance of on-site inspection management for the corresponding inspection point within a unit time; The management level of the power construction site is obtained. If the management level of the power construction site is A, a preset out-of-detection feature threshold YP1 is assigned to it; if the management level of the power construction site is B, a preset out-of-detection feature threshold YP2 is assigned to it, and YP2>YP1>0; Compare the out-of-inspection characteristic value with the corresponding preset out-of-inspection characteristic threshold. If the out-of-inspection characteristic value exceeds the preset out-of-inspection characteristic threshold, it indicates that the overall performance of on-site inspection management for the corresponding inspection point within a unit of time is poor, and the corresponding inspection point is marked as a poor inspection point. If there are poor inspection points at the power construction site within a unit time, it indicates that the management risk of the power construction site within a unit time is high, and a site management risk signal is generated; if there are no poor inspection points at the power construction site within a unit time, it indicates that the management risk of the power construction site within a unit time is low, and a site management qualified signal is generated.

[0023] The working principle of the present invention is as follows: when in use, the fence set up outside the power construction site is monitored by the fence monitoring output unit and the damage threat status of the fence is judged. The construction site monitoring unit monitors the power construction site through the monitoring camera, and analyzes the camera image in real time to identify abnormal wearing of personnel safety equipment and abnormal operating behavior. The gas atmosphere detection unit analyzes the degree of harmfulness of the gas at the power construction site. The early warning generation decision unit triggers the alarm mechanism when receiving the fence status risk signal, monitoring risk signal or atmosphere risk signal, thereby realizing comprehensive monitoring and accurate early warning of the power construction site, which is conducive to the management personnel to make corresponding targeted response measures in time, significantly improving the safety of the power construction site, and having a high level of intelligence and automation.

[0024] The thresholds, preset values, and preset ranges in the technical solution of the present invention are set for result comparison and analysis to determine whether the results are good or bad. The values ​​are set based on a combination of large-scale model analysis of sample data and manual experience to enter and store them, and can also be appropriately adjusted based on seasonal or common sense influencing conditions. The settings of weight coefficients, influencing factors, etc. are assigned specific values ​​according to the influence of each parameter on the result, which ultimately reflects the impact on the result. They are also set and entered into storage through a combination of large-scale model analysis of sample data and manual experience. Appropriate adjustments can also be made based on seasonal or common-sense influencing conditions.

[0025] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. The preferred embodiments do not describe all details in detail, nor do they limit the present invention to specific embodiments. Obviously, many modifications and variations are possible based on the contents of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention and enable those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. The power construction site safety monitoring and early warning system based on the Internet of Things is characterized by: It includes a fence monitoring output unit, a construction site monitoring unit, a gas atmosphere detection unit, an early warning generation decision unit, and an intelligent display early warning unit; the fence monitoring output unit monitors the fences set up outside the power construction site, determines whether a fence status risk signal is generated, and sends the fence status risk signal to the early warning generation decision unit when it is generated; The construction site monitoring unit monitors the power construction site through surveillance cameras, analyzes camera images in real time, identifies abnormalities in the wearing of safety equipment and operating behavior, and generates monitoring risk signals when abnormalities are identified and sends them to the early warning generation and decision-making unit; The gas atmosphere detection unit analyzes the harmfulness of gases at the power construction site and determines whether an atmosphere risk signal is generated. If an atmosphere risk signal is generated, it is sent to the early warning generation decision unit. The early warning generation decision unit triggers the alarm mechanism when receiving the fence status risk signal, monitoring risk signal or atmosphere risk signal, generates corresponding power construction early warning information and sends it to the intelligent display early warning unit for display.

2. The electric power construction site safety monitoring and early warning system based on the Internet of Things according to claim 1 is characterized in that: The specific analysis process of the fence monitoring output unit is as follows: several detection points are set on the fence, and the hidden danger value of the detection point is calculated by weighted summing the threat duration measurement value, threat amplitude value and threat appearance value. If the hidden danger value of the detection point exceeds the preset detection point hidden danger threshold, the corresponding detection point is marked as a fence damaged point; When a fence damage point appears on the fence, a fence status alarm signal is generated.

3. The electric power construction site safety monitoring and early warning system based on the Internet of Things according to claim 2 is characterized in that: The specific analysis process of the gas atmosphere detection unit is as follows: Obtain the type of harmful gas that needs to be monitored at the power construction site. If the corresponding activity area contains a type of harmful gas with a real-time concentration exceeding the corresponding preset concentration threshold, the corresponding activity area is marked as an atmosphere abnormal area. If the corresponding activity area does not contain a type of harmful gas with a real-time concentration exceeding the corresponding preset concentration threshold, obtain the atmosphere assessment value of the corresponding activity area through analysis. If the atmosphere assessment value exceeds the preset atmosphere assessment threshold, the corresponding activity area is marked as an atmosphere abnormal area. If there is an abnormal atmosphere area in the power construction site, an atmosphere risk signal will be generated.

4. The electric power construction site safety monitoring and early warning system based on the Internet of Things according to claim 3 is characterized in that: The specific analysis and acquisition method of atmosphere evaluation value is as follows: The real-time concentration of the corresponding type of harmful gas is calculated by ratio with the corresponding preset concentration threshold to obtain the concentration share value, the concentration share value of the corresponding type of harmful gas is multiplied by the corresponding preset harmful weight value to obtain the concentration risk value, and the concentration risk values ​​of all types of harmful gases in the corresponding activity area are summed up to obtain the atmosphere assessment value.

5. The electric power construction site safety monitoring and early warning system based on the Internet of Things according to claim 1 is characterized in that: The early warning generation decision unit is communicatively connected to the collaborative management decision unit. The collaborative management decision unit performs collaborative management decision analysis based on all power construction early warning information received within a unit time, and generates a matching management level through analysis, wherein the management level includes level A and level B, and the generated management level information is sent to the intelligent display early warning unit for display.

6. The electric power construction site safety monitoring and early warning system based on the Internet of Things according to claim 5 is characterized in that: The specific analysis process of collaborative management decision analysis is as follows: The number of power construction warning information generated for the power construction site per unit time is obtained and marked as the power construction warning frequency value. If the power construction warning frequency value exceeds the preset power construction warning frequency threshold, the management level of the power construction site is marked as Class A. If the power construction warning frequency value does not exceed the preset power construction warning frequency threshold, the collaborative management decision value is obtained through time period split evaluation and analysis. If the collaborative management decision value exceeds the preset collaborative management decision threshold, the management level of the power construction site is marked as Class A. Otherwise, the management level of the power construction site will be marked as B.

7. The electric power construction site safety monitoring and early warning system based on the Internet of Things according to claim 6 is characterized in that: The specific analysis process of time period split evaluation analysis is as follows: a number of evaluation periods are set within a unit of time, and the evaluation periods whose frequency values ​​exceed the preset frequency threshold are marked as risk treatment periods; The number of danger handling periods per unit time is obtained and marked as the danger time detection value, and the maximum continuous number of danger handling periods is marked as the danger holding detection value. The collaborative management decision value is obtained by weighted summing up the power usage warning frequency value, the danger time detection value and the danger holding detection value.

8. The electric power construction site safety monitoring and early warning system based on the Internet of Things according to claim 6 is characterized in that: The collaborative management decision-making unit is communicated with the on-site out-of-inspection analysis unit, which analyzes the manual inspection status of the power construction site within a unit time. If there are poor inspection points at the power construction site within a unit time, a site management risk signal is generated; otherwise, a site management qualified signal is generated, and the site management qualified signal or the site management risk signal is sent to the intelligent display and early warning unit.

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