Power construction site intelligent management system

Abstract

The present invention discloses an intelligent management system for electric power construction sites, and relates to the technical field of construction personnel positioning, and solves the problem that positioning equipment is easily subject to signal interference. The present invention monitors the personnel positioning information at the electric power construction site, and based on the specific monitoring results, identifies whether the positioning information has relevant anomalies, and for the positioning information with abnormalities, adjusts the execution frequency of the relevant positioning sensor, and by confirming the different signal waveforms generated by the corresponding frequency after the adjustment, correlates and compares the corresponding signal waveform with the relevant receiving waveform, and based on the specific comparison results, selects the best execution frequency, and performs real-time adjustment and change, so that the positioning signal of the relevant construction personnel can achieve better anti-interference ability, thereby improving the specific positioning standard of the positioning signal and achieving better positioning effect.

Description

Technical Field

[0001] The present invention relates to the technical field of construction personnel positioning, and in particular to an intelligent management system for electric power construction sites. Background Art

[0002] The power construction site is a specific area where operations such as construction, maintenance and renovation of power facilities are carried out.

[0003] In terms of the work content, it covers many aspects; including construction projects such as building new substations, erecting transmission lines, installing distribution equipment, maintenance work such as inspection, replacement and upgrading of old power equipment, and expansion and transformation of existing power systems according to actual needs to adapt to the growing electricity load.

[0004] The application with the publication number CN117912191A discloses an intelligent protection device for personnel positioning for safety at power construction sites, which belongs to the field of safety protection technology in the power industry; it includes: a housing, a face recognition module, which is used to collect identity information of four types of personnel, namely, operators, guardians, work supervisors, and people on duty; a positioning module, which is carried by the four types of personnel respectively, and is used to collect the location information of the four types of personnel; a monitoring module, which is used to receive the identity information and location information collected by the face recognition module and the positioning module for analysis and judgment to obtain the analysis and judgment results; a sound module, which is used to issue an alarm when an abnormality occurs to the on-site personnel according to the analysis and judgment results of the monitoring module; a communication module, which is used to send the identity information and location information and the analysis and judgment results received by the monitoring module to the monitoring background; a display module and a power module. The present invention saves the energy of management personnel and prevents the occurrence of personal injury and malicious misoperation through the four types of personnel positioning information of the background monitoring platform.

[0005] The relevant management measures for construction personnel at power construction sites include positioning and monitoring of construction personnel. However, the existing intelligent positioning system may be subject to signal interference in complex construction site environments, resulting in inaccurate positioning. It is impossible to grasp the specific location of construction personnel in real time, and it is difficult to provide timely rescue in the event of an emergency. Summary of the invention

[0006] In view of the deficiencies of the prior art, the present invention provides an intelligent management system for electric power construction sites, which solves the problem that positioning equipment is easily subject to signal interference.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: an intelligent management system for electric power construction sites, comprising:

[0008] The positioning information acquisition terminal monitors the positioning information of different construction personnel in the power construction site in real time, and transmits the real-time monitored positioning information to the positioning anomaly identification terminal or the positioning monitoring center;

[0009] The positioning anomaly identification terminal associates and identifies the movement paths of construction personnel within a unit of time based on the real-time positioning information of different construction personnel. Based on the specific identification results, it is evaluated whether the corresponding construction personnel have positioning anomalies. The specific method is as follows:

[0010] Based on the real-time positioning information of different construction personnel, determine the real-time positioning point of the corresponding construction personnel, and determine the change distance L of the real-time positioning point per unit time. i , where i represents different unit time;

[0011] If L i >Y1, where Y1 is the preset value, it means that the construction worker has a positioning abnormality problem, and generates a positioning abnormality signal and transmits it to the debugging and analysis terminal synchronously. If L i ≤Y1, no calibration is performed;

[0012] At the debugging and analysis end, for construction personnel with abnormal positioning, the positioning sensors associated with such construction personnel are frequency debugged to change the signal generation frequency of the corresponding positioning sensors. Based on the specific frequency value after debugging, the associated signal waveform is generated in real time, and then the signal waveform is correlated and compared with the received waveform to lock the optimal frequency value. The specific method is as follows:

[0013] Based on the determined abnormal positioning signal, the positioning sensor associated with the abnormal positioning signal is locked, and a debugging signal is sent to the positioning sensor through its receiving terminal. The positioning sensor debugs the frequency of the internal signal according to the debugging signal, and debugs in sequence according to the originally set debugging logic, and the debugging logic is the originally planned frequency debugging logic;

[0014] Based on the frequency debugging logic, a signal waveform associated with the frequency debugging logic is generated, and then the signal waveform transmitted by the positioning sensor in the debugging process is received by the receiving terminal to determine the receiving waveform, and the signal waveform is associated and compared with the receiving waveform, and a single waveform segment is confirmed from the signal waveform, and then the corresponding receiving waveform segment is confirmed from the receiving waveform, and the single waveform segment and the corresponding receiving waveform segment are a comparison waveform set, and the association difference between the corresponding waveforms is locked from the comparison waveform set;

[0015] Then, a minimum value is selected from different associated difference values ​​corresponding to the plurality of sets of comparison waveform sets, and a signal frequency corresponding to a single waveform segment associated with the minimum value is used as an optimal frequency value, and the positioning sensor is controlled to execute the optimal frequency value to generate a signal;

[0016] The positioning monitoring center, based on the dangerous areas marked by external relevant personnel and the positioning information of different construction workers, assesses the vertical distance between the construction workers and the dangerous areas, and then identifies whether the construction workers are behaving abnormally based on the specific assessment results. The specific methods are as follows:

[0017] Based on the calibrated dangerous area, the dangerous area is diffused in equal proportion, and the diffusion amplitude is 0.3 times. The diffused area is marked as the monitoring area. The dangerous area is calibrated in advance by relevant operators according to the power usage scenario;

[0018] Based on the monitored real-time positioning information, the construction personnel entering the monitoring area are marked as path confirmation personnel. Starting from the time when the path confirmation personnel enter the monitoring area, the positioning information at different subsequent times is confirmed in real time, and the running trajectory of the path confirmation personnel is generated in real time;

[0019] From the moment of entry, confirm the running tracks between subsequent different unit time periods, where the unit time period is the time period between adjacent moments, starting from the running track of the first unit time period: mark this running track as the initial track, determine its running direction based on the generated initial track, and identify whether its running direction merges into the danger zone:

[0020] If it is merged, the maximum range area generated by the end point of this running trajectory and the edge points on both sides of the dangerous area is determined, and it is identified whether the subsequent running trajectory belongs to this maximum range area. If it does, the shortest distance Lj between the end point of the subsequent running trajectory and the dangerous area is directly determined. If Lj>Y2, the subsequent running trajectory is used as the initial trajectory, and then the subsequent running trajectory is associated with analysis to identify whether it needs to be associated with the warning terminal. Y2 is a preset value. If Lj≤Y2, the warning terminal is directly used for the associated warning;

[0021] If it is not imported, the maximum range area will not be confirmed, and the subsequent running trajectory will be processed.

[0022] Preferably, the associated difference between the corresponding waveforms is locked:

[0023] Identify the regular waveforms that appear subsequently from the received waveform, and mark the first group of waveforms belonging to the regular waveform as the terminal waveform segment, determine the peak point of the terminal waveform segment, and then mark the waveform between the peak point and the previous group of peak points as the last group of received waveform segments, and based on the determined last group of received waveform segments, confirm different received waveform segments of different wavelengths in sequence;

[0024] Based on several groups of peak points appearing in the signal waveform, the signal waveform is divided into several single waveform segments, the last group of single waveform segments and the last group of received waveform segments are selected from the several single waveform segments as the comparison waveform set, and then confirmed in sequence to lock several groups of comparison waveform sets;

[0025] From the comparison waveform set: determine the wavelength BC of the corresponding single waveform segment k , and then determine the wavelength BB of the received waveform k , where k represents a different set of comparison waveforms, and then determines the vertical distance LL between the peak point and the valley point of the corresponding single waveform segment k , and then confirm the vertical distance LB between the peak point and the valley point in the receiving waveform segment k ;

[0026] Using T1z k =BC k ×C1+LL k ×C2 confirms the associated characteristic value T1z of its single waveform segment k , where C1 and C2 are both preset fixed coefficient factors, and then the same method is used to confirm the associated characteristic value T2z of the corresponding received waveform segment k , using CZ k =|T1z k -T2z k |Lock the correlation difference CZ between its corresponding correlation eigenvalues k .

[0027] The present invention provides an intelligent management system for power construction sites. Compared with the prior art, it has the following beneficial effects:

[0028] The present invention monitors the personnel positioning information at the power construction site, and based on the specific monitoring results, identifies whether the positioning information has relevant anomalies. For the positioning information with abnormalities, the execution frequency of the relevant positioning sensor is adjusted, and the corresponding signal waveform is correlated and compared with the relevant receiving waveform by confirming the different signal waveforms generated by the corresponding frequency after adjustment. Based on the specific comparison results, the best execution frequency is selected and adjusted in real time, so that the positioning signal of the relevant construction personnel has better anti-interference ability, thereby improving the specific positioning standard of the positioning signal and achieving better positioning effect.

[0029] Based on the real-time positioning information generated, the operation trajectory of the construction personnel is monitored in real time, and based on the marked dangerous areas, it is identified whether the relevant construction personnel have associated risks of entering the dangerous areas. Based on the specific identification results, signals are displayed and timely warnings are issued to avoid dangerous accidents and achieve better safety prevention effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a schematic diagram of the principle framework of the present invention;

[0031] Figure 2 It is a schematic diagram for analyzing the running trajectory of the present invention. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] Example 1

[0034] See also Figure 1 , the present application provides an intelligent management system for electric power construction sites, including a positioning information acquisition terminal, a positioning anomaly identification terminal, a debugging and analysis terminal, a positioning monitoring center, and an early warning terminal, wherein the positioning information acquisition terminal, the positioning anomaly identification terminal, and the debugging and analysis terminal are electrically connected from an output node to an input node in sequence, and the positioning information acquisition terminal, the positioning monitoring center, and the early warning terminal are all electrically connected from the output node to the input node;

[0035] At the power construction site, the corresponding construction workers need to carry relevant positioning sensors, which can be set in safety helmets or other related equipment to locate the location information of the construction workers in real time. The reason for real-time positioning is that it is necessary to track the location information of the relevant construction workers in real time to assess whether the construction workers have entered the corresponding dangerous areas and make early warnings;

[0036] Among them, the positioning information acquisition end monitors the positioning information of different construction personnel in the power construction site in real time, and transmits the real-time monitored positioning information to the positioning anomaly identification end or the positioning monitoring center;

[0037] Among them, the positioning abnormality identification end, based on the real-time positioning information of different construction personnel, associates and identifies the movement paths of construction personnel within a unit time, and based on its specific identification results, evaluates whether the corresponding construction personnel have positioning abnormalities. Generally, such problems exist when the corresponding construction personnel enter the associated interference area. Such interference areas will interfere with the positioning signals generated by the sensors. If there is interference, the positioning information will be inaccurate, resulting in the positioning point jumping or changing. This is a positioning abnormality. The specific method for evaluation is as follows:

[0038] Based on the real-time positioning information of different construction personnel, determine the real-time positioning point of the corresponding construction personnel, and determine the change distance L of the real-time positioning point per unit time. i , where i represents different unit time;

[0039] If L i >Y1, where Y1 is a preset value, and its specific value is determined by the operator based on experience. This means that the construction worker has a positioning abnormality problem, and a positioning abnormality signal is generated and synchronously transmitted to the debugging and analysis terminal. If L i ≤Y1, no calibration is performed.

[0040] Among them, the debugging and analysis end, for the relevant construction personnel with abnormal positioning, performs frequency debugging on the positioning sensors associated with such construction personnel, so that the signal generation frequency of the corresponding positioning sensor is associated with changes, and based on the specific frequency value after debugging, the associated signal waveform is generated in real time, and then the signal waveform is associated and compared with the received waveform to lock the optimal frequency value. Specifically, in order to minimize the interference degree of the corresponding signal, it is necessary to adjust the frequency so that the corresponding signal is at the optimal frequency for signal generation. The specific method of locking the optimal frequency value is:

[0041] Based on the determined abnormal positioning signal, the positioning sensor associated with the abnormal positioning signal is locked, and a debugging signal is sent to the positioning sensor through its receiving terminal (the receiving terminal is a terminal that receives positioning signals of different positioning sensors). The positioning sensor debugs the frequency of the internal signal according to the debugging signal, and debugs in sequence according to the originally set debugging logic. The debugging logic is the originally planned frequency debugging logic, which is planned by relevant operators based on experience. The endpoint frequencies of the debugging logic are all preset frequencies, and the frequency change values ​​per unit time are all set values.

[0042] Based on this frequency debugging logic, the signal waveform associated with this frequency debugging logic is generated (the rate and amplitude of the signal waveform are both set values. When the frequency is known, the associated waveform of the corresponding wavelength can be generated, and its wavelength = wave speed ÷ frequency). Then, the signal waveform transmitted by the positioning sensor in the debugging process is received by the receiving terminal to determine the received waveform (the initial moment of the debugging process is: the X1 moment after the receiving terminal sends this debugging signal, where X1 is a preset value, generally a few milliseconds, which is prepared in advance by relevant personnel, and the terminal moment is easier to confirm. When the corresponding frequency is increased to the maximum value, it will remain unchanged, so the corresponding waveform generated subsequently is a regular waveform). The signal waveform is associated and compared with the received waveform:

[0043] Identify the regular waveforms that appear subsequently from the received waveform, and mark the first group of waveforms belonging to the regular waveform as the end waveform, determine the peak point of the end waveform, and then mark the waveform between the peak point and the previous group of peak points as the last group of waveforms, and based on the determined last group of received waveforms, confirm different received waveforms of different wavelengths in sequence;

[0044] Based on several groups of peak points appearing in the signal waveform, the signal waveform is divided into several single waveform segments, and the last group of single waveform segments and the last group of received waveforms are selected from the several single waveform segments as the comparison waveform set, and then confirmed in sequence (that is, confirming in sequence from the last group, the waveforms belonging to the second last position are grouped together, and then the waveforms belonging to the third last position are grouped together, and so on), and several groups of comparison waveform sets are locked;

[0045] From the comparison waveform set: determine the wavelength BC of the corresponding single waveform segment k , and then determine the wavelength BB of the received waveform k , where k represents a different set of comparison waveforms, and then determines the vertical distance LL between the peak point and the valley point of the corresponding single waveform segment k , and then confirm the vertical distance LB between the peak point and the valley point in the received waveform k ;

[0046] Using T1z k =BC k ×C1+LL k ×C2 confirms the associated characteristic value T1z of its single waveform segment k , where C1 and C2 are preset fixed coefficient factors, and their specific values ​​are determined by the operator based on experience, and then the associated characteristic value T2z of the corresponding received waveform is confirmed in the same way k , using CZ k =|T1z k -T2z k |Lock the correlation difference CZ between its corresponding correlation eigenvalues k ;

[0047] Then, from several groups of comparison waveform sets, the corresponding different correlation difference values ​​CZ k In the above example, the minimum value CZ is selected. k min, this minimum value CZ k The signal frequency corresponding to the single waveform segment associated with min is taken as the optimal frequency value, and the positioning sensor is controlled to execute the optimal frequency value to generate a signal;

[0048] Specifically, after the corresponding positioning abnormality signal is generated, the debugging logic of the positioning sensor is debugged, and the internal related frequencies are adjusted according to the specific debugging method. When the frequency is changed, the corresponding signal waveform will be changed. The waveform after the change may be interfered with, resulting in related changes in the received waveform. In order to confirm its specific anti-interference capability, the related waveforms associated with different frequencies are identified, and the specific changes of the corresponding waveforms are identified by identifying their specific wavelengths and the vertical distances between the peaks and troughs, so as to lock the best related frequency and select the best frequency. Therefore, the interference-related positioning sensors can be quickly adjusted to prevent the tracking signals of the relevant personnel from being lost.

[0049] Example 2

[0050] In the specific implementation process, compared with the above-mentioned embodiment, the main difference of this embodiment is that this embodiment is mainly aimed at real-time positioning personnel danger warning. When the corresponding positioning personnel enters the danger range of the danger zone, positioning confirmation is performed. Based on the confirmation result, it is identified whether the positioning personnel has associated danger. The specific execution end is the positioning monitoring center and the warning end.

[0051] The positioning monitoring center, based on the dangerous area marked by external relevant personnel and the positioning information of different construction workers, assesses the vertical distance between the construction workers and the dangerous area, and then identifies whether the construction workers are behaving abnormally based on the specific assessment results. The specific identification method is as follows:

[0052] Based on the calibrated dangerous area, the dangerous area is diffused in equal proportion, with a diffusion amplitude of 0.3 times, and the diffused area is calibrated as the monitoring area (that is, the dangerous area is expanded by 1.3 times, then the corresponding area after expansion minus the original dangerous area is the confirmed monitoring area). The dangerous area is calibrated in advance by relevant operators according to the power usage scenario;

[0053] Based on the monitored real-time positioning information, the construction personnel entering the monitoring area are marked as path confirmation personnel. Starting from the time when the path confirmation personnel enter the monitoring area, the positioning information at different subsequent times is confirmed in real time, and the running trajectory of the path confirmation personnel is generated in real time;

[0054] From the moment of entry, confirm the running tracks between subsequent different unit time periods, where the unit time period is the time period between adjacent moments, starting from the running track of the first unit time period: mark this running track as the initial track, determine its running direction based on the generated initial track, and identify whether its running direction merges into the danger zone:

[0055] If it is merged, the maximum range area generated by the end point of this running trajectory and the edge points on both sides of the dangerous area is determined, and it is identified whether the subsequent running trajectory belongs to this maximum range area. If it does, the closest distance Lj (that is, the vertical distance) between the end point of the subsequent running trajectory and the dangerous area is directly determined. If Lj≤Y2, an associated warning is directly issued through the early warning terminal, which means that this construction worker has the risk of entering the dangerous area. Based on the generated early warning situation, external personnel will issue associated warnings to such construction workers and drive them away to avoid entering the dangerous area. If Lj>Y2, the subsequent running trajectory is used as the initial trajectory, and then the subsequent running trajectory is analyzed for association to identify whether it needs to be associated through the early warning terminal. Y2 is a preset value, and its specific value is determined by the operator in advance based on experience;

[0056] If it is not imported, the maximum range area will not be confirmed, and the subsequent running track will be processed;

[0057] Specific, combined Figure 2 Display content, based on the marked dangerous area, the associated expansion is carried out to determine the monitoring area. Based on the original confirmed initial trajectory, the corresponding maximum range area can be determined based on its related endpoints. After the maximum range area is confirmed, the subsequent trajectory does not belong to this maximum range area, then the subsequent trajectory is analyzed again to assess whether its running direction is merged or other situations. If the running direction is merged, the maximum range area is re-determined, and the subsequent related running trajectory is reconfirmed. In this way, the trajectory direction during the operation process can be confirmed one by one, and whether there is any abnormality in the trajectory direction can be confirmed simultaneously, and early warning can be issued to achieve better warning association effect.

[0058] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0059] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. The intelligent management system for power construction sites is characterized by: include: The positioning information acquisition terminal monitors the positioning information of different construction personnel in the power construction site in real time, and transmits the real-time monitored positioning information to the positioning anomaly identification terminal or the positioning monitoring center; The positioning anomaly identification terminal associates and identifies the movement paths of construction workers within a unit of time based on the real-time positioning information of different construction workers, and based on the specific identification results, assesses whether the corresponding construction workers have positioning anomalies; On the debugging and analysis side, for construction personnel with abnormal positioning, the positioning sensors associated with such construction personnel are frequency debugged, specifically: Based on the determined abnormal positioning signal, the positioning sensor associated with the abnormal positioning signal is locked, and a debugging signal is sent to the positioning sensor through its receiving terminal. The positioning sensor debugs the frequency of the internal signal according to the debugging signal, and debugs in sequence according to the originally set debugging logic, and the debugging logic is the originally planned frequency debugging logic; Based on the frequency debugging logic, a signal waveform associated with the frequency debugging logic is generated, and then the signal waveform transmitted by the positioning sensor in the debugging process is received by the receiving terminal to determine the receiving waveform, and the signal waveform is associated and compared with the receiving waveform, and a single waveform segment is confirmed from the signal waveform, and then the corresponding receiving waveform segment is confirmed from the receiving waveform, and the single waveform segment and the corresponding receiving waveform segment are a comparison waveform set, and the association difference between the corresponding waveforms is locked from the comparison waveform set; Then, a minimum value is selected from different associated difference values ​​corresponding to the plurality of sets of comparison waveform sets, and a signal frequency corresponding to a single waveform segment associated with the minimum value is used as an optimal frequency value, and the positioning sensor is controlled to execute the optimal frequency value to generate a signal; The positioning monitoring center assesses the vertical distance between the construction workers and the dangerous areas marked by external relevant personnel and the positioning information of different construction workers, and then identifies whether the construction workers are behaving abnormally based on the specific assessment results.

2. The intelligent management system for electric power construction sites according to claim 1 is characterized in that: The specific method of the positioning abnormality identification terminal to assess whether the corresponding construction personnel have positioning abnormality is: Based on the real-time positioning information of different construction personnel, determine the real-time positioning point of the corresponding construction personnel, and determine the change distance L of the real-time positioning point per unit time. i , where i represents different unit time; If L i >Y1, where Y1 is the preset value, it means that the construction worker has a positioning abnormality problem, and generates a positioning abnormality signal and transmits it to the debugging and analysis terminal synchronously. If L i ≤Y1, no calibration is performed.

3. The intelligent management system for electric power construction sites according to claim 1 is characterized in that: The correlation difference between the corresponding waveforms is locked: Identify the regular waveforms that appear subsequently from the received waveform, and mark the first group of waveforms belonging to the regular waveform as the terminal waveform segment, determine the peak point of the terminal waveform segment, and then mark the waveform between the peak point and the previous group of peak points as the last group of received waveform segments, and based on the determined last group of received waveform segments, confirm different received waveform segments of different wavelengths in sequence; Based on several groups of peak points appearing in the signal waveform, the signal waveform is divided into several single waveform segments, the last group of single waveform segments and the last group of received waveform segments are selected from the several single waveform segments as the comparison waveform set, and then confirmed in sequence to lock several groups of comparison waveform sets; From the comparison waveform set: determine the wavelength BC of the corresponding single waveform segment k , and then determine the wavelength BB of the received waveform k , where k represents a different set of comparison waveforms, and then determines the vertical distance LL between the peak point and the valley point of the corresponding single waveform segment k , and then confirm the vertical distance LB between the peak point and the valley point in the receiving waveform segment k ; Using T1z k =BC k ×C1+LL k ×C2 confirms the associated characteristic value T1z of its single waveform segment k , where C1 and C2 are both preset fixed coefficient factors, and then the same method is used to confirm the associated characteristic value T2z of the corresponding received waveform segment k , using CZ k =|T1z k -T2z k |Lock the correlation difference CZ between its corresponding correlation eigenvalues k .

4. The intelligent management system for electric power construction sites according to claim 1 is characterized in that: The specific method for the positioning monitoring center to identify whether the construction personnel are behaving abnormally is as follows: Based on the calibrated dangerous area, the dangerous area is diffused in equal proportion, and the diffusion amplitude is 0.3 times. The diffused area is marked as the monitoring area. The dangerous area is calibrated in advance by relevant operators according to the power usage scenario; Based on the monitored real-time positioning information, the construction personnel entering the monitoring area are marked as path confirmation personnel. Starting from the time when the path confirmation personnel enter the monitoring area, the positioning information at different subsequent times is confirmed in real time, and the running trajectory of the path confirmation personnel is generated in real time; From the moment of entry, confirm the running tracks between subsequent different unit time periods, where the unit time period is the time period between adjacent moments, starting from the running track of the first unit time period: mark this running track as the initial track, determine its running direction based on the generated initial track, and identify whether its running direction merges into the danger zone: If it is merged, the maximum range area generated by the end point of this running track and the edge points on both sides of the dangerous area is determined, and it is identified whether the subsequent running track belongs to this maximum range area. If it does, the shortest distance Lj between the end point of the subsequent running track and the dangerous area is directly determined. If Lj>Y2, the subsequent running track is used as the initial track, and then the subsequent running track is associated with analysis to identify whether it needs to be associated with the warning terminal. Warning, where Y2 is a preset value; If it is not imported, the maximum range area will not be confirmed, and the subsequent running trajectory will be processed.

5. The intelligent management system for electric power construction sites according to claim 4 is characterized in that: If Lj≤Y2, the associated warning is directly carried out through the warning terminal.

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