Power engineering construction risk early warning system based on artificial intelligence

Abstract

The present invention discloses an artificial intelligence-based power engineering construction risk early warning system, which relates to the technical field of early warning systems. It is difficult to intelligently supervise the behavior of workers operating construction equipment and conduct danger early warning in the prior art; the present invention is provided with a safety helmet with a camera and multiple construction equipment, and also includes: a plan entry module, a visual recognition module, and a range early warning module; the present invention can take relevant pictures of the construction equipment and identify and quickly compare them when the workers are operating, so as to check the operation object, the operation sequence, and the operation status of the construction equipment before and after the operation, respectively, thereby ensuring that the operation of the workers complies with the specifications set by the construction safety code from multiple angles. In addition, by classifying the equipment operation instructions, it is possible to conveniently determine the comparison timing of step five in the visual recognition module, so as to more flexibly check and confirm the operations of various construction equipment during the construction process.

Description

Technical Field

[0001] The present invention relates to the technical field of early warning systems, and in particular to an artificial intelligence-based early warning system for electric power engineering construction risks. Background Art

[0002] The power engineering construction risk early warning system uses sensors, monitoring equipment, Internet of Things technology and other means to collect various data at the power engineering construction site, including but not limited to environmental parameters (such as temperature, humidity, wind speed), construction equipment status (such as operating status, fault information), personnel behavior, etc. The data is processed and analyzed in real time through artificial intelligence algorithms to identify potential safety hazards and risks, and issue early warning signals in a timely manner to provide decision-making support for managers.

[0003] In the process of power construction, a variety of construction equipment is often needed to assist the operation. The coordinated use of multiple construction equipment can improve construction efficiency, and the operation of construction equipment needs to comply with the normative requirements of the construction manual to ensure the safe use of construction equipment. In the existing technology, manual supervision is generally used to provide normative guidance to the staff's operation, which can easily lead to poor supervision and cause errors in the operation of construction equipment. Therefore, a risk warning system is urgently needed to supervise the operating behavior of the staff and issue warnings to reduce the construction risks caused by improper operation of construction equipment. Summary of the invention

[0004] In view of the above-mentioned shortcomings of the prior art, the present invention provides an artificial intelligence-based power engineering construction risk warning system, which can effectively solve the problem in the prior art that it is difficult to intelligently supervise the behavior of workers operating construction equipment and issue danger warnings.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0006] The present invention provides an artificial intelligence-based power engineering construction risk early warning system, which at least includes: a safety helmet provided with a camera, and also includes: a plan entry module, a visual recognition module, and a range early warning module;

[0007] The camera is set at the front of the safety helmet to capture the image from the worker’s first-person perspective;

[0008] The plan entry module obtains the power construction work plan for the day. The power construction work plan contains multiple work items in different time periods. The work items contain multiple operation steps. The equipment operation instructions in the operation steps are extracted. Each equipment operation instruction corresponds to the equipment name and operation sequence. Multiple equipment operation instructions in the same time period are entered into the same instruction sequence in sequence to form a time-sharing control sequence.

[0009] The visual recognition module is independently set inside the safety helmet. Before the worker operates the construction equipment, it collects and recognizes the image of the construction equipment to confirm that the construction equipment to be operated is correct. According to the order of operating the construction equipment, a sequence is formed and the operation sequence is checked to confirm that the operation sequence is correct. The operation status pictures of the construction equipment before and after the operation are collected for verification to confirm that the operation execution status is normal. When the confirmation or recognition cannot be confirmed, an operation error warning signal is generated.

[0010] The range warning module is independently set inside each construction equipment to monitor the operation data of the construction equipment and send warning signals to nearby workers;

[0011] It also includes a general monitoring module that uses wireless data transmission with each safety helmet. The general monitoring module records and summarizes the data collected by each safety helmet and verifies the operating sequence of the construction equipment.

[0012] Furthermore, the visual recognition module verification process is specifically as follows:

[0013] Step 1: record the construction equipment currently operated by the staff as the target equipment, and record the current operating state of the target equipment as the target working condition;

[0014] Step 2: Obtain the information nameplates of all construction equipment included in the time-sharing control sequence and extract the equipment identification codes therein to establish an equipment nameplate database. Each equipment name can find a unique corresponding equipment identification code in the equipment nameplate database;

[0015] Step 3: Capture the information nameplate image of the target device through the camera and identify it, obtain the identification code of the target device and record it as the target identification code, compare the target identification code with the device identification code in the device nameplate database one by one, and when any device identification code is the same as the target identification code, proceed to step 4, otherwise, generate a device operation object error signal;

[0016] Step 4: Record the device identification codes compared in step 3 in sequence, and form a first comparison sequence with the device name corresponding to each device identification code in the comparison order, extract the device name in the time-sharing control sequence and form a second comparison sequence, compare the first comparison sequence with the second comparison sequence, and set the first comparison sequence to be , the second alignment is , where i is the total number of device names in the first comparison sequence, and j is the total number of device names in the second comparison sequence. When the first comparison sequence and the second comparison sequence meet When n=1, 2, ..., i, proceed to step 5, otherwise, generate an operation sequence error signal;

[0017] Step 5: The picture used to display the on or off status of the construction equipment is recorded as a status display diagram. A standard status library is preset, and the standard status library contains status display diagrams of different operating states of all construction equipment. A status display diagram is bound to each equipment operation instruction. For example, the construction equipment on instruction is bound to the construction equipment on status diagram, the construction equipment off instruction is bound to the construction equipment off status diagram, and the construction equipment check instruction is bound to the construction equipment off status diagram. The construction equipment status diagram corresponding to the target working condition is obtained and recorded as the current status diagram. The total number of elements i of the first comparison sequence in the previous step is extracted, and the status display diagram corresponding to the i+1th equipment operation instruction in the time-sharing control sequence is recorded as the standard status diagram. The current status diagram is compared with the standard status diagram for similarity. When the comparison result is less than or equal to the preset similarity threshold, an operation instruction error signal is generated, and an error operation warning signal is sent to the management personnel's mobile terminal.

[0018] Furthermore, the equipment operation instructions are classified into pre-inspection instructions and post-inspection instructions according to the sequence of construction equipment operation inspection and construction equipment operation. Pre-inspection instructions refer to construction equipment operation inspection that is located before construction equipment operation, and post-inspection instructions refer to construction equipment operation inspection that is located after construction equipment operation. When the (i+1)th equipment operation instruction is a pre-inspection instruction, before executing the corresponding construction equipment operation, a similarity comparison is performed between the current state diagram and the standard state diagram. When the (i+1)th equipment operation instruction is a post-inspection instruction, after executing the corresponding construction equipment operation, a similarity comparison is performed between the current state diagram and the standard state diagram.

[0019] Furthermore, the overall monitoring module verification process is specifically as follows:

[0020] All the construction equipment that have passed the comparison in step 3 of the visual recognition module are recorded as correct equipment, and the time when each correct equipment passes the comparison is recorded. The equipment names of the correct equipment are extracted and arranged in order according to the time when they pass the comparison to form a first comparison sequence. The first comparison sequence is compared with the second comparison sequence. When the first comparison sequence and the second comparison sequence meet When , continue with step 5 in the visual recognition module, otherwise, generate an operation sequence error signal.

[0021] Furthermore, the warning process of the range warning module is specifically as follows:

[0022] The construction equipment monitored by the range warning module is recorded as the monitoring equipment, and the operating temperature of the monitoring equipment, the current difference between the neutral line and the live line, and the voltage value of the construction equipment shell to the ground are obtained and recorded as the temperature measurement values ​​respectively. , zero-fire current difference and voltage to ground , each monitoring device has a temperature threshold , when the temperature measurement value Greater than the temperature threshold Or zero-fire current difference , Voltage to ground When any item is not equal to 0, an equipment abnormality signal is generated, and a warning signal is sent to the safety helmet closest to the monitoring device to remind the staff to check.

[0023] Furthermore, an auxiliary positioning module is included. The auxiliary positioning module is preset with a calibration picture. The calibration picture is photographed multiple times by a camera, and the camera is calibrated according to the captured pictures. The calibration process is as follows:

[0024] A calibration pattern is preset in the center of the calibration picture. The calibration pattern is kept in the center of the staff's field of view. Each captured picture is recorded as an analysis picture. A rectangular coordinate system is established with the center of the analysis picture as the origin and the straight lines parallel to the long and short sides of the analysis picture as the coordinate axes. The analysis picture is divided into the upper left area, the lower left area, the upper right area, and the lower right area. The auxiliary positioning module can identify the calibration pattern in the captured picture. When the calibration pattern is identified to be located in different areas of the analysis picture, an adjustment instruction in the corresponding direction is generated.

[0025] A limiting rectangle with a length and width half of the length and width of the analysis image is set in the center of the analysis image. The long side of the limiting rectangle is parallel to the long side of the analysis image, and the short side of the limiting rectangle is parallel to the short side of the analysis image. When the calibration pattern is recognized to be within the range of the limiting rectangle, an adjustment completion signal is generated.

[0026] Compared with the known prior art, the technical solution provided by the present invention has the following beneficial effects:

[0027] 1. The visual recognition module of the present invention can take relevant pictures of the construction equipment, identify them, and quickly compare them when the staff is operating, so as to check the operation object, the operation sequence, and the operating status of the construction equipment before and after the operation, thereby ensuring from multiple angles that the staff's operation complies with the specifications set by the construction safety code and avoids the harm and loss caused by the staff's misoperation as much as possible. In addition, by classifying the equipment operation instructions, it is possible to conveniently determine the comparison timing of step five in the visual recognition module, so as to more flexibly check and confirm the operations of various construction equipment during the construction process, thereby ensuring that the staff can ensure safety during the actual operation of the construction equipment while checking whether the staff performs the operation correctly.

[0028] 2. The scope warning module of the present invention can timely detect temperature anomalies and leakage conditions of construction equipment by monitoring the operating status data of the equipment, so as to promptly notify the nearest staff to handle the above conditions when they occur, thereby avoiding the harm caused by continuous abnormal operation of the construction equipment.

[0029] 3. The auxiliary positioning module of the present invention adjusts the shooting direction of the camera through image recognition technology so that the picture it takes can maintain a certain degree of overlap with the staff's perspective, which is conducive to capturing and identifying the nameplate or information label of the construction equipment through the camera, so as to further verify the staff's operation, ensure that the staff performs the correct operation on the correct construction equipment, and generate a warning signal when the staff operates incorrectly. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0031] Figure 1 It is the overall module block diagram of the present invention. DETAILED DESCRIPTION

[0032] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] The present invention will be further described below in conjunction with the embodiments.

[0034] Embodiment 1:

[0035] See also Figure 1 The artificial intelligence-based power engineering construction risk early warning system at least includes: a safety helmet equipped with a camera, a plan entry module, and a visual recognition module.

[0036] The camera is set on the front end of the safety helmet to capture images and videos from the worker's first-person perspective. When the worker wears it while working, the camera records the worker's operations and can capture key images for analysis, thereby identifying the worker's operation of construction equipment and whether it is used in a standardized manner.

[0037] The plan entry module obtains the power construction work plan for the day. The power construction work plan contains multiple work items in different time periods. The work items contain multiple operation steps. The equipment operation instructions in the operation steps are extracted. Each equipment operation instruction corresponds to an equipment name and an operation sequence. Multiple equipment operation instructions in the same time period are entered into the same instruction sequence in sequence to form a time-sharing control sequence. The time-sharing control sequence contains multiple equipment operation instructions and is arranged in sequence. Different time-sharing control sequences use their corresponding time periods as distinguishing marks.

[0038] It should be noted that equipment operating instructions include a series of operations of construction equipment, such as starting construction equipment, shutting down construction equipment and checking construction equipment. Workers complete each work item by performing multiple operating steps in sequence to ensure the smooth progress of construction. Each equipment operating instruction contains the corresponding specific equipment name and the operating sequence of the instruction. By establishing a time-sharing control series, the operating instructions can be better summarized, and the installation time periods and sequence can be distinguished and arranged, which is conducive to the verification of operations to ensure the operating specifications of the staff.

[0039] The visual recognition module is independently set inside the safety helmet. Before the workers operate the construction equipment, they check the images of the construction equipment, obtain the time-sharing control sequence and its corresponding time period, and check the operation instructions of each construction equipment in sequence within the corresponding time period. The specific checking process is as follows:

[0040] Step 1: record the construction equipment currently operated by the staff as the target equipment, and record the current operating state of the target equipment as the target working condition;

[0041] Step 2: Obtain the information nameplates of all construction equipment contained in the time-sharing control sequence (each operation instruction in the time-sharing control sequence corresponds to a specific construction equipment, and each construction equipment has a unique nameplate or information label for identifying the construction equipment information, collectively referred to as information nameplates here, and the information nameplates can be identified by the naked eye) and extract the equipment identification code therein to establish an equipment nameplate database. Each equipment name can find a unique corresponding equipment identification code in the equipment nameplate database, and the equipment nameplate database contains nameplate data for identifying each construction operation construction equipment;

[0042] It should be noted that the equipment identification code refers to a digital code that can be converted and identified, such as a barcode, QR code, or digital string, used to distinguish each construction equipment. The corresponding construction equipment can be quickly identified through the digital code, and extracting digital codes through images is an existing technology and will not be elaborated here.

[0043] Step 3: Capture the information nameplate image of the target device through the camera and identify it, obtain the identification code of the target device and record it as the target identification code, compare the target identification code with the device identification code in the device nameplate database one by one, and when any device identification code is the same as the target identification code, proceed to step 4, otherwise, generate a device operation object error signal;

[0044] Step 4: Record the device identification codes compared in step 3 in sequence, and form a first comparison sequence with the device name corresponding to each device identification code in the comparison order, extract the device name in the time-sharing control sequence and form a second comparison sequence, compare the first comparison sequence with the second comparison sequence, and set the first comparison sequence to be , the second alignment is , where i is the total number of equipment names in the first comparison sequence (i.e., the total number of target equipment that has passed the comparison in step 3), j is the total number of equipment names in the second comparison sequence (i.e., the total number of equipment operation instructions in the time-sharing control sequence, each equipment operation instruction corresponds to a construction equipment). When the first comparison sequence and the second comparison sequence meet When n=1, 2, ..., i (when When the comparison sequence of the construction equipment is consistent with the operation sequence of the construction equipment, and the operation sequence of the staff meets the specification requirements), proceed to step 5. Otherwise, an operation sequence error signal is generated;

[0045] Step 5: The picture used to display the on or off status of the construction equipment is recorded as a status display diagram. A standard status library is preset, and the standard status library contains status display diagrams of different operating states of all construction equipment. A status display diagram is bound to each equipment operation instruction. For example, the construction equipment on instruction is bound to the construction equipment on status diagram, the construction equipment off instruction is bound to the construction equipment off status diagram, and the construction equipment check instruction is bound to the construction equipment off status diagram. The construction equipment status diagram corresponding to the target working condition is obtained and recorded as the current status diagram. The total number of elements i of the first comparison sequence in the previous step is extracted, and the status display diagram corresponding to the i+1th equipment operation instruction in the time-sharing control sequence is recorded as the standard status diagram. The current status diagram is compared with the standard status diagram for similarity. When the comparison result is less than or equal to the preset similarity threshold, an operation instruction error signal is generated, and an error operation warning signal is sent to the management personnel's mobile terminal.

[0046] It should be noted that each construction equipment has a corresponding indicating device or module for displaying the operating status of the construction equipment, such as an operating indicator light, an operating status display screen and an operating display pointer, etc. The indicating device or module facilitates the staff to identify the current operating status of different construction equipment for the purpose of operation. Therefore, by taking a picture of the indicating device or module and identifying it, it is possible to quickly analyze whether the staff has made any misoperation.

[0047] By checking the operation objects, operation sequence and operating status of construction equipment before and after the operation, it is ensured from multiple angles that the operation of the workers complies with the specifications set by the construction safety code.

[0048] More specifically, the equipment operation instructions are classified into pre-inspection instructions and post-inspection instructions according to the sequence of construction equipment operation inspection and construction equipment operation. Pre-inspection instructions refer to construction equipment operation inspections that are performed before construction equipment operation (thereby ensuring the safety and normal operation of construction equipment. For example, inspection and maintenance of construction equipment require confirmation that the construction equipment has been shut down and powered off before operation). Post-inspection instructions refer to construction equipment operation inspections that are performed after construction equipment operation (for example, after performing the opening and closing operations of the construction equipment, the opening state of the construction equipment needs to be further confirmed). When the (i+1)th equipment operation instruction is a pre-inspection instruction, before performing the corresponding construction equipment operation, the current state diagram is compared with the standard state diagram for similarity. When the (i+1)th equipment operation instruction is a post-inspection instruction, after performing the corresponding construction equipment operation, the current state diagram is compared with the standard state diagram for similarity.

[0049] By classifying the equipment operating instructions, it is convenient to determine the comparison timing of step five in the visual recognition module, so as to more flexibly check and confirm the operations of various construction equipment during the construction process, thereby ensuring that the staff can ensure safety during the actual operation of the construction equipment while verifying whether the staff performs the operation correctly. Compared with no verification, further comparison and verification can effectively avoid misoperation and missed operation of construction equipment and reduce the risk of the construction process.

[0050] Furthermore, it also includes a general monitoring module that uses wireless data transmission with each safety helmet. The general monitoring module records and summarizes the data collected by each safety helmet and verifies the operation sequence of the construction equipment. The verification process is as follows:

[0051] All the construction equipment that have passed the comparison in step 3 of the visual recognition module are recorded as correct equipment, and the time when each correct equipment passes the comparison is recorded. The equipment names of the correct equipment are extracted and arranged in order according to the time when they pass the comparison to form a first comparison sequence. The first comparison sequence is compared with the second comparison sequence. When the first comparison sequence and the second comparison sequence meet When , continue with step 5 in the visual recognition module, otherwise, generate an operation sequence error signal.

[0052] It should be noted that wireless data transmission is an existing technology, such as wireless local area network (Wi-Fi), ZigBee, Z-Wave and wireless radio frequency identification (RFID). Workers can choose any one or more of a variety of wireless transmission methods according to actual working conditions to build wireless transmission channels between each safety helmet. The same general monitoring module is used to uniformly record and form the first comparison sequence, so that the verification of the sequence of a series of operations of the construction equipment is no longer limited to the operation of the same worker, and can be uniformly verified when multiple workers perform operations separately. It is suitable for working scenarios where two or more workers operate construction equipment separately during construction.

[0053] The range warning module is independently set inside each construction equipment to monitor the operation data of the construction equipment and send warning signals to nearby workers. The warning process is as follows:

[0054] The construction equipment monitored by the range warning module is recorded as the monitoring equipment, and the operating temperature of the monitoring equipment, the current difference between the neutral line and the live line, and the voltage value of the construction equipment shell to the ground are obtained and recorded as the temperature measurement values ​​respectively. , zero-fire current difference and voltage to ground , each monitoring device has a temperature threshold , when the temperature measurement value Greater than the temperature threshold Or zero-fire current difference , Voltage to ground When any item is not equal to 0, an equipment abnormality signal is generated, and a warning signal is sent to the safety helmet closest to the monitoring device to remind the staff to check.

[0055] By monitoring the operating status data of the equipment, temperature anomalies and leakage of construction equipment can be discovered in time, so that when the above situations occur, the nearest staff can be notified in time to deal with them, avoiding the harm caused by continued abnormal operation of construction equipment.

[0056] Embodiment 2:

[0057] See also Figure 1 Based on the artificial intelligence-based power engineering construction risk early warning system in Example 1, in actual use, when the staff wears a safety helmet, they cannot directly see the camera screen, resulting in the inability to ensure that the construction equipment code that needs to be identified when the camera captures the screen is located in the screen, which may result in the inability to identify the information nameplate of the construction equipment. Therefore, further improvements are needed to overcome the above defects. Compared with Example 1, the difference is that:

[0058] It also includes an auxiliary positioning module, which is preset with a calibration picture. The calibration picture is taken multiple times by the camera, and the camera is calibrated according to the captured pictures. The calibration process is as follows:

[0059] A calibration pattern is preset in the center of the calibration image, and the calibration pattern is kept in the center of the staff's field of view. Each captured image is recorded as an analysis image, and a rectangular coordinate system is established with the center of the analysis image as the origin and straight lines parallel to the long and short sides of the analysis image as coordinate axes. The analysis image is divided into an upper left area, a lower left area, an upper right area, and a lower right area. The auxiliary positioning module can recognize the calibration pattern in the captured image, and when it is recognized that the calibration pattern is located in different areas of the analysis image, an adjustment instruction in the corresponding direction is generated. For example, when it is recognized that the calibration pattern is located in the upper left area of ​​the analysis image, an upper right adjustment signal is generated, instructing the staff to adjust the shooting direction of the camera to the upper right.

[0060] Furthermore, a limiting rectangle with a length and a width that are half of the length and width of the analysis image is set in the center of the analysis image, the long side of the limiting rectangle is parallel to the long side of the analysis image, and the short side of the limiting rectangle is parallel to the short side of the analysis image. When the calibration pattern is recognized to be within the range of the limiting rectangle, an adjustment completion signal is generated.

[0061] Image recognition technology is used to identify the approximate position of the calibration pattern in the analysis, so that the staff can adjust the shooting direction of the camera according to the position of the calibration pattern until the calibration pattern is located in the center range of the photograph, thereby completing the camera's shooting calibration and enabling the captured picture to maintain a certain degree of overlap with the staff's perspective, which is beneficial for capturing and identifying the nameplate or information label of the construction equipment through the camera, thereby further verifying the staff's operation, ensuring that the staff performs the correct operation on the correct construction equipment, and generating a warning signal when the staff operates incorrectly.

[0062] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the protection scope of the technical solutions of the embodiments of the present invention.

Claims

1. An artificial intelligence-based power engineering construction risk early warning system, comprising a safety helmet equipped with a camera and a plurality of construction equipment, characterized in that: Also includes: Plan entry module, visual recognition module, range warning module; The camera is set at the front of the safety helmet to capture the image from the worker’s first-person perspective; The plan entry module obtains the power construction work plan for the day. The power construction work plan contains multiple work items in different time periods. The work items contain multiple operation steps. The equipment operation instructions in the operation steps are extracted. Each equipment operation instruction corresponds to the equipment name and operation sequence. Multiple equipment operation instructions in the same time period are entered into the same instruction sequence in sequence to form a time-sharing control sequence. The visual recognition module is independently set inside the safety helmet. Before the worker operates the construction equipment, it collects images of the construction equipment and identifies them to confirm that the construction equipment to be operated is correct. According to the order of operating the construction equipment, a sequence is formed and the operation sequence is checked to confirm that the operation sequence is correct. The operation status pictures of the construction equipment before and after the operation are collected for verification to confirm that the operation execution status is normal. When the confirmation or recognition cannot be confirmed, an operation error warning signal is generated. The visual recognition module verification process is as follows: Step 1: record the construction equipment currently operated by the staff as the target equipment, and record the current operating state of the target equipment as the target working condition; Step 2: Obtain the information nameplates of all construction equipment included in the time-sharing control sequence and extract the equipment identification codes therein to establish an equipment nameplate database. Each equipment name can find a unique corresponding equipment identification code in the equipment nameplate database; Step 3: Capture the information nameplate image of the target device through the camera and identify it, obtain the identification code of the target device and record it as the target identification code, compare the target identification code with the device identification code in the device nameplate database one by one, and when any device identification code is the same as the target identification code, proceed to step 4, otherwise, generate a device operation object error signal; Step 4: Record the device identification codes compared in step 3 in sequence, and form a first comparison sequence with the device name corresponding to each device identification code in the comparison order, extract the device name in the time-sharing control sequence and form a second comparison sequence, compare the first comparison sequence with the second comparison sequence, and set the first comparison sequence to be , the second alignment number is , where i is the total number of device names in the first comparison sequence, and j is the total number of device names in the second comparison sequence. When the first comparison sequence and the second comparison sequence meet When n=1, 2, ..., i, proceed to step 5, otherwise, generate an operation sequence error signal; Step 5: The picture used to display the on or off status of the construction equipment is recorded as a status display diagram. A standard status library is preset. The standard status library contains status display diagrams of different operating states of all construction equipment. A status display diagram is bound to each equipment operation instruction. The construction equipment status diagram corresponding to the target working condition is obtained and recorded as the current status diagram. The total number of elements i of the first comparison sequence in the previous step is extracted, and the status display diagram corresponding to the i+1th equipment operation instruction in the time-sharing control sequence is recorded as the standard status diagram. The current status diagram is compared with the standard status diagram for similarity. When the comparison result is less than or equal to the preset similarity threshold, an operation instruction error signal is generated, and a misoperation warning signal is sent to the management personnel's mobile terminal; It also includes an auxiliary positioning module, which is preset with a calibration picture. The calibration picture is taken multiple times by the camera, and the camera is calibrated according to the captured pictures. The calibration process is as follows: A calibration pattern is preset in the center of the calibration picture. The calibration pattern is kept in the center of the staff's field of view. Each captured picture is recorded as an analysis picture. A rectangular coordinate system is established with the center of the analysis picture as the origin and the straight lines parallel to the long and short sides of the analysis picture as the coordinate axes. The analysis picture is divided into the upper left area, the lower left area, the upper right area, and the lower right area. The auxiliary positioning module can identify the calibration pattern in the captured picture. When the calibration pattern is identified to be located in different areas of the analysis picture, an adjustment instruction in the corresponding direction is generated. A limiting rectangle whose length and width are both half of the length and width of the analysis image is set at the center of the analysis image, the long side of the limiting rectangle is parallel to the long side of the analysis image, and the short side of the limiting rectangle is parallel to the short side of the analysis image. When the calibration pattern is recognized to be within the range of the limiting rectangle, an adjustment completion signal is generated; It also includes a general monitoring module that uses wireless data transmission with each safety helmet. The general monitoring module records and summarizes the data collected by each safety helmet and verifies the operation sequence of the construction equipment; The overall monitoring module verification process is as follows: All the construction equipment that have passed the comparison in step 3 of the visual recognition module are recorded as correct equipment, and the time when each correct equipment passes the comparison is recorded. The equipment names of the correct equipment are extracted and arranged in order according to the time when they pass the comparison to form a first comparison sequence. The first comparison sequence is compared with the second comparison sequence. When the first comparison sequence and the second comparison sequence meet When , continue to step 5 in the visual recognition module, otherwise, generate an operation sequence error signal; Classify the equipment operation instructions, and divide the equipment operation instructions into pre-inspection instructions and post-inspection instructions according to the sequence of construction equipment operation inspection and construction equipment operation. Pre-inspection instructions refer to construction equipment operation inspection before construction equipment operation, and post-inspection instructions refer to construction equipment operation inspection after construction equipment operation. When the i+1th equipment operation instruction is a pre-inspection instruction, before executing the corresponding construction equipment operation, the current state diagram is compared with the standard state diagram for similarity. When the i+1th equipment operation instruction is a post-inspection instruction, after executing the corresponding construction equipment operation, the current state diagram is compared with the standard state diagram for similarity. The range warning module is independently set up inside each construction equipment to monitor the operation data of the construction equipment and send warning signals to nearby staff.

2. The artificial intelligence-based power engineering construction risk early warning system according to claim 1 is characterized in that: The warning process of the range warning module is as follows: The construction equipment monitored by the range warning module is recorded as the monitoring equipment, and the operating temperature of the monitoring equipment, the current difference between the neutral line and the live line, and the voltage value of the construction equipment shell to the ground are obtained and recorded as the temperature measurement values ​​respectively. , zero-fire current difference and voltage to ground , each monitoring device has a temperature threshold , when the temperature measurement value Greater than the temperature threshold Or zero-fire current difference , Voltage to ground When any item in is not equal to 0, an equipment abnormality signal is generated and a warning signal is sent to the safety helmet closest to the monitoring device.

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