Intelligent street lamp hoisting alignment guiding system and method

Abstract

The application discloses a smart street lamp hoisting alignment guiding system and method, and relates to the technical field of street lamp installation. The application solves the problem that the lateral inclination angle and perpendicularity of the street lamp are not quantitatively closed-loop finely adjusted, and the post body posture is mainly judged by manual visual inspection, and the calibration error is large. The application locks the horizontal rotation angle by comparison and verification of the reference surface, realizes double-precision matching of the flange center alignment and the circumferential angle alignment of the bolt hole, avoids the problems of bolt hole misalignment and forced screwing caused by the traditional hoisting only to the center and ignoring the rotation deviation, relies on digital visual angle correction, reduces the air shaking and repeated rotation adjustment of the post body, protects the flange and bolt structure from being damaged, guarantees the uniformity of the street lamp orientation and the precise alignment of the hole position, and improves the hoisting forming installation quality.

Description

Technical Field

[0001] This invention relates to the field of street light installation technology, specifically to a smart street light hoisting and alignment guidance system and method. Background Technology

[0002] Currently, in the construction and renovation of smart streetlights in cities, the quality of hoisting and aligning the streetlight pole with the pre-embedded flange in the foundation directly determines the verticality, appearance neatness, and long-term structural safety of the smart streetlight during later installation.

[0003] Currently, most smart street light installation and alignment operations still rely on traditional construction methods, primarily using manual string lines for measurement, visual inspection and comparison, and verbal instructions from ground personnel, with crane operators relying on practical experience to complete alignment adjustments. This results in low overall automation, strong subjectivity in alignment operations, and a lack of unified digital benchmarks. In existing installation processes, a dedicated three-dimensional digital coordinate system has not been established. Foundation flange calibration often relies on simple temporary ground references, which are easily affected by external factors such as terrain undulations, construction debris, enclosures, and outdoor wind interference. This leads to calibration benchmark deviations, drifts, and failures, creating systemic calibration errors from the outset and making it difficult to guarantee the accuracy of subsequent alignment adjustments.

[0004] Meanwhile, traditional hoisting relies solely on manual experience to determine the pole's movement direction and distance, lacking quantifiable planar vector guidance. This easily leads to pole misalignment and repeated adjustments, resulting in low efficiency in coarse alignment, significant errors in manual communication and coordination, high construction thresholds, and poor consistency in batch hoisting operations. More significantly, conventional hoisting operations only focus on rough alignment of the flange center position, generally neglecting precise correction of the streetlight pole's horizontal rotation angle. The lack of reference surface comparison verification and rotation angle locking procedures often results in flange center alignment but circumferential misalignment of bolt holes. Construction workers can only force alignment by prying the pole and tightening bolts, which easily causes flange deformation, damage to anchor bolt threads, and eccentric stress on the pole. This not only affects the uniformity of the streetlight's appearance but also generates structural installation internal stress.

[0005] Furthermore, after the traditional hoisting process completes the foundation alignment, the tilt angle and verticality of the streetlights are not quantitatively and meticulously adjusted in a closed loop. Instead, the pole posture is mostly judged by manual visual inspection, resulting in large calibration errors and high arbitrariness. This easily leads to problems such as pole tilting and verticality exceeding the standard, which not only affects the overall construction quality but also poses safety hazards such as structural shaking, uneven stress, and even toppling for the long-term outdoor operation of smart streetlights. Subsequent rework and correction work is extensive, and construction and maintenance costs are high.

[0006] In summary, existing methods for aligning and hoisting smart streetlights suffer from numerous technical defects, including inaccurate benchmarks, lack of quantitative alignment, lack of angle calibration, lack of posture adjustment, strong dependence on construction, poor installation quality, and significant safety hazards. These deficiencies make it difficult to meet the actual needs of large-scale, standardized, and high-precision smart streetlight hoisting and construction. Therefore, it is urgent to propose a new method for guiding the alignment and hoisting of smart streetlights to address the aforementioned problems in existing technologies. Summary of the Invention

[0007] To address the shortcomings of existing technologies, this invention provides a smart street light hoisting and alignment guidance system and method, which solves the problem of not performing quantitative closed-loop fine-tuning of the street light's tilt angle and verticality, relying mainly on manual visual judgment of the pole's posture, and resulting in large calibration errors.

[0008] To achieve the above objectives, the present invention provides a method for guiding the installation of intelligent streetlights, comprising the following steps: Step 1: Confirm the hoisting position and read the coordinate data of the foundation flange locator. Based on the coordinate data, generate three-dimensional spatial data belonging to the foundation flange and record it as the reference data. The specific method is as follows: From the read coordinate data, confirm the center position of the foundation flange and record the confirmed center position as the coordinate origin; Using the sensors set around the base flange as associated edge points, connect the two opposing sets of associated edge points to confirm the two sets of connection lines, and record the two sets of connection lines as the built-in X-axis and built-in Y-axis respectively. Record the three-dimensional spatial data associated with the built-in X-axis, built-in Y-axis, and the marked coordinate origin, and record the associated three-dimensional spatial data as the reference data; Step Two: Execute the hoisting process. Based on the positioning sensors installed inside the smart streetlight, confirm the actual position of the smart streetlight. Based on the actual position and the recorded reference data, confirm the planar vector of the smart streetlight and perform the hoisting process. The specific method is as follows: Based on the positioning sensors installed inside the smart streetlights, the spatial positioning location is confirmed, and based on the recorded reference data, the two-dimensional plane where the coordinate origin is located is confirmed. This two-dimensional plane is a preset plane that is parallel to the reference ground. Based on the confirmed spatial location, identify the perpendicular point associated with the spatial location on the two-dimensional plane. Using the perpendicular point as the starting point and the recorded origin of the coordinate system as the ending point, construct the plane vector associated with the starting point to the ending point. Based on the constructed planar vector, the smart street light is hoisted and moved by the hoisting mechanism, and its direction and distance of movement are consistent with the planar vector. Step 3: After the smart street light moves to the designated position according to the planar vector, an associated reference plane belonging to the smart street light is generated based on the associated sensors set inside the smart street light. The associated reference plane is verified with the reference data, the rotation angle is locked, and the process is executed. The specific method is as follows: Based on the associated sensors set in the smart streetlights, the specific locations of the associated sensors are confirmed, and two opposing sets of associated sensors are connected to generate two sets of connecting lines, and the associated reference planes corresponding to the two sets of connecting lines are determined. The associated reference plane is compared and verified with the plane containing the built-in X-axis and built-in Y-axis marked in the reference data. The intersection point between the two sets of connecting lines is recorded as the undetermined point, and the intersection point associated with the built-in X-axis and built-in Y-axis is recorded as the standard point. The process involves aligning the point to be determined with the standard point, determining the angle between the two sets of connecting lines and the built-in X-axis or built-in Y-axis, locking the minimum angle from the determined angles, and determining the corresponding connecting line associated with the minimum angle. If the corresponding connecting line is the built-in X-axis, the direction from the built-in X-axis to the corresponding connecting line is set as the rotation direction, and the determined minimum angle is recorded as the rotation angle. If the corresponding connecting line is the built-in Y-axis, the direction from the built-in Y-axis to the corresponding connecting line is set as the rotation direction, and the determined minimum angle is recorded as the rotation angle. Based on the determined rotation direction and rotation angle, the smart street light is rotated horizontally by the hoisting mechanism so that the smart street light is aligned with the corresponding reference data. Step 4: After completing the rotation execution process of the smart street light, based on the associated reference plane and reference data, confirm the difference distances between different endpoints, and adjust the tilt angle associated with the smart street light based on the difference distances to complete the alignment guidance process of the smart street light; the specific method is as follows: Based on the marked associated reference plane and the standard execution plane associated between the built-in X-axis and the built-in Y-axis, after the point to be fixed coincides with the standard point, confirm whether the two sets of connecting lines inside the associated reference plane are completely coincident with the built-in X-axis or the built-in Y-axis. If they are not completely coincident, record the corresponding connecting lines as lines to be debugged. Based on the determined line to be tested, confirm the straight-line distance between the endpoint of the line to be tested and the nearest endpoint of the corresponding axis. Using the line to be tested as a reference, adjust the tilt of the smart street light. The tilt adjustment direction is from one endpoint of the line to be tested to the other endpoint. Record the change of the straight-line distance in real time during the tilt adjustment process. If the straight-line distance continues to decrease, stop when the determined straight-line distance meets the condition: straight-line distance ≤ 3cm. The associated lines to be tested are determined step by step, and the tilt adjustment process of the smart street lights is completed based on the lines to be tested. If both sets of connecting lines completely coincide with the built-in X-axis or built-in Y-axis, no processing is required. If the straight-line distance continues to increase, change the debugging direction and determine the opposite direction until the determined straight-line distance satisfies the condition that the straight-line distance is ≤3cm.

[0009] Preferably, a smart street light hoisting and alignment guidance system includes: At the reference data generation end, the hoisting position is confirmed, and the coordinate data of the foundation flange locator is read. Based on the coordinate data, three-dimensional spatial data belonging to the foundation flange is generated and recorded as reference data. The planar vector generation end uses the positioning sensors set inside the smart street light to confirm the actual position of the smart street light, and uses the actual position and the recorded reference data to confirm the planar vector of the smart street light. The reference data verification end, after the smart street light moves to the designated position according to the planar vector, generates an associated reference plane belonging to the smart street light based on the associated sensors set in the smart street light, verifies the associated reference plane with the reference data, and locks the rotation angle. After completing the rotation execution process of the smart street light, the tilt adjustment processing end confirms the difference distance between different endpoints based on the associated reference plane and reference data, and adjusts the tilt angle associated with the smart street light based on the difference distance to complete the alignment guidance process of the smart street light.

[0010] This invention provides a smart street light hoisting and alignment guidance system and method. Compared with the prior art, it has the following advantages: By constructing a digital planar vector to guide the hoisting and positioning of streetlights, replacing the traditional mode of manual command and driver operation based on experience, the hoisting and movement direction and distance are quantified and controllable. The horizontal alignment and vertical control operations are separated, effectively reducing pole deviation and repeated adjustments. The coarse alignment convergence speed is fast and the fault tolerance is strong, which greatly reduces the construction operation threshold and significantly improves the construction efficiency and alignment accuracy of coarse alignment for smart streetlight hoisting. By comparing and verifying the horizontal rotation angle with the reference surface, a double precise match is achieved between the flange center alignment and the bolt hole circumferential angle alignment. This avoids the problems of bolt hole misalignment and forced tightening caused by traditional hoisting that only focuses on the center and ignores rotation deviation. Relying on digital and visual angle correction, the swaying of the pole in the air and repeated rotation adjustments are reduced, protecting the flange and bolt structure from damage, ensuring uniform street light orientation and precise hole alignment, and improving the quality of hoisting and installation. Attached Figure Description

[0011] Figure 1 This is a schematic diagram of the method flow of the present invention. Detailed Implementation

[0012] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0013] First Embodiment Please see Figure 1 This application provides a method for guiding the installation and alignment of smart streetlights, including the following steps: Step 1: Confirm the hoisting position and have the equipment maintenance personnel read the coordinate data of the foundation flange positioner. Based on the coordinate data, generate three-dimensional spatial data belonging to the foundation flange and record it as the reference data. The specific method for generating three-dimensional spatial data is as follows: From the read coordinate data, confirm the center position of the foundation flange and record the confirmed center position as the coordinate origin; Using the sensors set around the base flange as associated edge points, connect the two opposing sets of associated edge points to confirm the two sets of connection lines, and record the two sets of connection lines as the built-in X-axis and built-in Y-axis respectively. Record the three-dimensional spatial data associated with the built-in X-axis, built-in Y-axis, and the marked coordinate origin (the marked coordinate origin may not belong to the same two-dimensional plane as the X-axis and Y-axis, so it belongs to three-dimensional spatial data here), and record the associated three-dimensional spatial data as the reference data. By having equipment maintenance personnel accurately read the coordinate data of the foundation flange locator, and using the center of the foundation flange as the coordinate origin, a dedicated built-in X-axis and Y-axis are constructed by connecting preset sensors around the flange. This establishes an independent, dedicated, and unique three-dimensional spatial reference data, which serves as the core reference for all subsequent hoisting alignments, without relying on simple on-site ground references. The core benefits are mainly reflected in four aspects. First, it completely solves the industry pain points of traditional hoisting, which relies solely on manual string lines, visual estimation, and simple ground markings as alignment references. These methods are greatly affected by site flatness, ground debris, site barriers, and terrain undulations, resulting in vague references, large offsets, and a lack of unified quantitative standards. It achieves digitalization, three-dimensionalization, and fixation of the hoisting alignment reference, using the actual measured coordinates of the equipment as the sole basis throughout the process, eliminating initial system deviations caused by the arbitrariness of manual calibration. Secondly, this step specifically incorporates the coordinate origin, built-in X-axis, and built-in Y-axis into the three-dimensional spatial data recording, going beyond traditional two-dimensional planar calibration. This effectively adapts to actual construction conditions where there are slight height differences in the pre-embedded foundation flange and the foundation is not absolutely level on site. It avoids subsequent alignment misalignment and flange incomplete fit problems caused by neglecting vertical height differences in two-dimensional calibration. It adapts to complex construction site non-ideal reference conditions, and the calibration fits the actual installation conditions on site. Thirdly, the axis is constructed using the sensors around the flange body as associated edge points. The reference is aligned with the physical structure of the flange body, rather than external temporary reference points. This effectively avoids reference failure caused by displacement, obstruction, or damage of external reference objects. The reference has strong stability and high resistance to on-site interference. The reference does not drift or fail throughout the entire hoisting operation. Fourth, the spatial coordinate system of the crane hoisting mechanism, the pole sensing sensor, and the foundation pre-embedded flange is unified in advance to ensure that all subsequent position deviations, vector calculations, and angle correction data are from the same source and benchmark. This eliminates the alignment calculation error caused by the mismatch of coordinates of multiple devices from the source, laying a zero-deviation foundation for subsequent accurate coarse alignment, fine alignment, angle correction, and verticality adjustment.

[0014] Step 2: Execute the hoisting process. Based on the positioning sensors set inside the smart street light, confirm the actual position of the smart street light, and based on the actual position and the recorded reference data, confirm the planar vector of the smart street light and carry out the hoisting process. The specific method for confirming the plane vector corresponding to the smart street light is as follows: Based on the positioning sensors installed in the smart streetlights, the spatial positioning location is confirmed, and based on the recorded reference data, the two-dimensional plane where the coordinate origin is located is confirmed. This two-dimensional plane is a preset plane, parallel to the reference ground, which is set in advance by relevant personnel. Based on the confirmed spatial location, identify the perpendicular point associated with the spatial location on the two-dimensional plane. Using the perpendicular point as the starting point and the recorded origin of the coordinate system as the ending point, construct the plane vector associated with the starting point to the ending point. Based on the constructed planar vector, the smart street light is hoisted and moved by the hoisting mechanism, and its direction and distance of movement are consistent with the planar vector. By constructing a dedicated planar vector using a spatial positioning vertical point and the coordinate origin, and strictly following the direction and distance of movement of this planar vector to guide the hoisting and positioning of the streetlights, the core benefits are mainly reflected in four aspects. First, it abandons the traditional, crude model of hoisting that relies on the driver's experience to judge the direction of movement and on ground-based personnel to manually direct the movement. The entire process uses a digital planar vector as the sole basis for movement, ensuring precise direction and quantified distance, completely solving the problems of pole misalignment, repeated adjustments, and low hoisting efficiency caused by communication errors in manual command and driver misjudgment. Second, by projecting the three-dimensional spatial position onto a dedicated two-dimensional preset plane parallel to the reference ground for vector calculation, it filters out the interference of vertical height fluctuations on planar alignment, separating the horizontal alignment and vertical placement operation logic. This allows for independent, phased control of coarse horizontal alignment and vertical height management, avoiding operational confusion and increased alignment difficulty caused by mixed multi-dimensional actions. Third, based on real-time sensor measurements, the system dynamically generates planar vectors. It can dynamically update vector data according to real-time swaying and positional deviations of the boom, providing real-time correction capabilities. Even with slight swaying due to wind or minor overshooting during boom operation, the system can automatically correct vector guidance. This results in fast coarse alignment convergence and high tolerance for positioning errors, quickly bringing the boom to the acceptable position directly above the foundation flange. Fourth, the entire coarse alignment process eliminates the need for repeated manual distance measurements and position checks. The system automatically calculates vectors and determines the adjustment direction, reducing reliance on experienced hoisting operators. Even novice operators can operate in a standardized manner, significantly lowering the barrier to entry for manual construction and dramatically improving the efficiency of batch hoisting operations.

[0015] Step 3: After the smart street light moves to the designated position according to the planar vector, an associated reference plane belonging to the smart street light is generated based on the associated sensors set in the smart street light. The associated reference plane is verified with the reference data, the rotation angle is locked and the operation is performed. The specific method for verifying the associated datum plane and datum data is as follows: Based on the associated sensors set in the smart streetlights, the specific locations of the associated sensors are confirmed, and two opposing sets of associated sensors are connected to generate two sets of connecting lines, and the associated reference planes corresponding to the two sets of connecting lines are determined. The associated reference plane is compared and verified with the plane containing the built-in X-axis and built-in Y-axis marked in the reference data. The intersection point between the two sets of connecting lines is recorded as the undetermined point, and the intersection point associated with the built-in X-axis and built-in Y-axis is recorded as the standard point. The process involves aligning the point to be determined with the standard point, determining the angle between the two sets of connecting lines and the built-in X-axis or built-in Y-axis, locking the minimum angle from the determined angles, and determining the corresponding connecting line associated with the minimum angle. If the corresponding connecting line is the built-in X-axis, the direction from the built-in X-axis to the corresponding connecting line is set as the rotation direction, and the determined minimum angle is recorded as the rotation angle. If the corresponding connecting line is the built-in Y-axis, the direction from the built-in Y-axis to the corresponding connecting line is set as the rotation direction, and the determined minimum angle is recorded as the rotation angle. Based on the determined rotation direction and rotation angle, the smart street light is rotated horizontally by the hoisting mechanism so that the smart street light is aligned with the corresponding reference data. This part of the operation is performed by the relevant personnel themselves. The processed data is displayed on the operation interface of the relevant personnel. The corresponding operators execute the corresponding rotation processing flow based on the specific data displayed on the operation interface. By connecting the streetlight's built-in sensors to generate a dedicated reference plane for the pole, and comparing it with the standard X-axis and Y-axis planes built into the foundation flange, the system precisely completes the horizontal rotation alignment of the streetlight through matching the undetermined point with the standard point, screening for the minimum included angle, and locking the dedicated rotation direction and included angle. The core benefits are mainly reflected in four aspects. First, it specifically addresses the core pain points of traditional hoisting methods that only align the flange center, ignoring the deviation of the pole's horizontal rotation angle, leading to bolt hole misalignment, streetlight orientation shift, uneven streetlight appearance later, and bolt deformation due to forced tightening. It achieves dual precise matching of center alignment and angle alignment, ensuring that the flange center coincides while the bolt hole circumferential angles are perfectly aligned. Second, it uses the minimum included angle as the rotation adjustment amount and matches the corresponding axis to determine the rotation direction, avoiding large-angle rotation adjustments and repeated left and right rotations for hole alignment. This reduces the pole's large-amplitude self-spinning and swaying in the air, resulting in smooth rotational fine-tuning, high alignment efficiency, and minimal swaying interference, effectively improving the stability of the precision alignment stage. Third, all included angle data, rotation direction, and rotational deviation are displayed in real time on the operator's interface. The numerical value of the angle deviation is presented digitally and intuitively, eliminating the need for operators to visually observe the hole alignment. This enables visual and precise rotational correction, eliminating the need for guesswork or blind rotation, and significantly improving rotational alignment accuracy. Fourth, after horizontal rotation locking is completed in this step, the bolt holes on the rod body and the bolt holes on the foundation are perfectly matched circumferentially. Subsequent rod lowering does not require manual prying of the holes or forced alignment, avoiding damage to bolt threads, flange deformation, and rod body misalignment. This effectively protects the integrity of the hoisting components and the pre-embedded bolt structure, improving the quality of installation.

[0016] Step 4: After completing the rotation execution process of the smart street light, based on the associated reference plane and reference data, confirm the difference distance between different endpoints, and adjust the tilt angle associated with the smart street light based on the difference distance to complete the alignment guidance process of the smart street light. The specific method for confirming and adjusting the roll angle is as follows: Based on the marked associated reference plane and the standard execution plane associated between the built-in X-axis and the built-in Y-axis, after the point to be determined coincides with the standard point, confirm whether the two sets of connecting lines inside the associated reference plane are completely coincident with the built-in X-axis or the built-in Y-axis. If they are completely coincident, no processing is required. If they are not completely coincident, the corresponding connecting lines are recorded as lines to be debugged. Based on the determined line to be tested, confirm the straight-line distance between the endpoint of the line to be tested and the nearest endpoint of the corresponding axis. Using the line to be tested as a reference, adjust the tilt of the smart street light. The tilt adjustment direction is from one endpoint of the line to be tested to the other endpoint. Record the change of the straight-line distance in real time during the tilt adjustment process. If the straight-line distance continues to increase, change the adjustment direction and determine the opposite direction of the adjustment direction. Stop when the determined straight-line distance meets the condition that the straight-line distance is ≤3cm. The associated test lines are determined step by step, and the tilt adjustment process of the smart streetlights is completed based on the test lines.

[0017] The line to be adjusted is determined by comparing the reference plane with the standard execution plane. The tilt angle of the street light is adjusted in real time based on the straight-line distance of the endpoints. The verticality and horizontality are adjusted in a closed loop with a straight-line distance of ≤3cm as the qualified standard. The core benefits are mainly reflected in four aspects. First, it solves the key problems of the pole still tilting and pitching after the traditional hoisting center alignment and hole alignment, resulting in excessive verticality, poor appearance of the street light after installation, and uneven stress on later maintenance, which makes it easy to tip over. It realizes a three-in-one closed-loop adjustment of plane alignment, angle alignment, and verticality alignment, and the installation quality meets the specifications and standards. Second, it adopts the straight-line distance of the endpoints of the line to be adjusted as the quantitative adjustment basis, records the distance change in real time, and adjusts in reverse to prevent overshoot. It avoids the tedious operation of manual one-time fine adjustment and repeated tilt adjustment and correction. The tilt adjustment rhythm is controllable, the adjustment is not repeated, and the convergence speed is fast. Third, a standardized threshold of 3cm is used to determine whether the tilt adjustment meets the standard, eliminating subjective errors caused by manual visual judgment of verticality. This ensures unified adjustment standards, quantified quality assessment, and high installation consistency, resulting in uniform and aesthetically pleasing installation of all smart streetlights in batch construction. Fourth, the bolt tightening process only begins after all alignment, angle, and tilt adjustments are completed. This avoids tilt deviations from the initial alignment stage and prevents structural stress, flange deformation, and uneven bolt preload caused by forcibly straightening the pole after bolt tightening. This improves the long-term structural stability of the streetlights and the safety and reliability of the hoisting construction, ensuring that the finished product meets the quality standards and eliminates the need for secondary rework and correction.

[0018] Second Embodiment A smart street light hoisting and alignment guidance system includes: At the reference data generation end, the hoisting position is confirmed, and the coordinate data of the foundation flange locator is read. Based on the coordinate data, three-dimensional spatial data belonging to the foundation flange is generated and recorded as reference data. The planar vector generation end uses the positioning sensors set inside the smart street light to confirm the actual position of the smart street light, and uses the actual position and the recorded reference data to confirm the planar vector of the smart street light. The reference data verification end, after the smart street light moves to the designated position according to the planar vector, generates an associated reference plane belonging to the smart street light based on the associated sensors set in the smart street light, verifies the associated reference plane with the reference data, and locks the rotation angle. After completing the rotation execution process of the smart street light, the tilt adjustment processing end confirms the difference distance between different endpoints based on the associated reference plane and reference data, and adjusts the tilt angle associated with the smart street light based on the difference distance to complete the alignment guidance process of the smart street light.

[0019] Some of the data in the above formulas are numerical calculations with dimensions removed, and the contents not described in detail in this specification are all prior art known to those skilled in the art.

[0020] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. A method for guiding the hoisting and alignment of a smart street light, characterized in that, Includes the following steps: Step 1: Confirm the hoisting position and read the coordinate data of the foundation flange locator. Based on the coordinate data, generate three-dimensional spatial data belonging to the foundation flange and record it as the reference data. Step 2: Execute the hoisting process. Based on the positioning sensors set inside the smart street light, confirm the actual position of the smart street light, and based on the actual position and the recorded reference data, confirm the planar vector of the smart street light and carry out the hoisting process. Step 3: After the smart street light moves to the designated position according to the planar vector, an associated reference plane belonging to the smart street light is generated based on the associated sensors set in the smart street light. The associated reference plane is verified with the reference data, the rotation angle is locked and the operation is performed. Step 4: After completing the rotation execution process of the smart street light, based on the associated reference plane and reference data, confirm the difference distance between different endpoints, and adjust the tilt angle associated with the smart street light based on the difference distance to complete the alignment guidance process of the smart street light.

2. The method for guiding the hoisting and alignment of a smart street light according to claim 1, characterized in that, In step one, the specific method for generating three-dimensional spatial data is as follows: From the read coordinate data, confirm the center position of the foundation flange and record the confirmed center position as the coordinate origin; Using the sensors set around the base flange as associated edge points, connect the two opposing sets of associated edge points to confirm the two sets of connection lines, and record the two sets of connection lines as the built-in X-axis and built-in Y-axis respectively. Record the three-dimensional spatial data associated with the built-in X-axis, built-in Y-axis, and the marked coordinate origin, and record the associated three-dimensional spatial data as the reference data.

3. The method for guiding the hoisting and alignment of a smart street light according to claim 1, characterized in that, In step two, the specific method for confirming the plane vector corresponding to the smart street light is as follows: Based on the positioning sensors installed inside the smart streetlights, the spatial positioning location is confirmed, and based on the recorded reference data, the two-dimensional plane where the coordinate origin is located is confirmed. This two-dimensional plane is a preset plane that is parallel to the reference ground. Based on the confirmed spatial location, identify the perpendicular point associated with the spatial location on the two-dimensional plane. Using the perpendicular point as the starting point and the recorded origin of the coordinate system as the ending point, construct the plane vector associated with the starting point to the ending point. Based on the constructed planar vector, the smart street light is hoisted and moved by the hoisting mechanism, and its direction and distance of movement are consistent with the planar vector.

4. The method for guiding the hoisting and alignment of a smart street light according to claim 1, characterized in that, In step three, the specific method for verifying the associated reference plane and reference data is as follows: Based on the associated sensors set in the smart streetlights, the specific locations of the associated sensors are confirmed, and two opposing sets of associated sensors are connected to generate two sets of connecting lines, and the associated reference planes corresponding to the two sets of connecting lines are determined. The associated reference plane is compared and verified with the plane containing the built-in X-axis and built-in Y-axis marked in the reference data. The intersection point between the two sets of connecting lines is recorded as the undetermined point, and the intersection point associated with the built-in X-axis and built-in Y-axis is recorded as the standard point. The process involves aligning the point to be determined with the standard point, determining the angle between the two sets of connecting lines and the built-in X-axis or built-in Y-axis, locking the minimum angle from the determined angles, and determining the corresponding connecting line associated with the minimum angle. If the corresponding connecting line is the built-in X-axis, the direction from the built-in X-axis to the corresponding connecting line is set as the rotation direction, and the determined minimum angle is recorded as the rotation angle. If the corresponding connecting line is the built-in Y-axis, the direction from the built-in Y-axis to the corresponding connecting line is set as the rotation direction, and the determined minimum angle is recorded as the rotation angle. Based on the determined rotation direction and rotation angle, the smart street light is rotated horizontally by the hoisting mechanism to align it with the corresponding reference data.

5. The method for guiding the hoisting and alignment of a smart street light according to claim 1, characterized in that, In step four, the specific method for confirming and adjusting the roll angle is as follows: Based on the marked associated reference plane and the standard execution plane associated between the built-in X-axis and the built-in Y-axis, after the point to be fixed coincides with the standard point, confirm whether the two sets of connecting lines inside the associated reference plane are completely coincident with the built-in X-axis or the built-in Y-axis. If they are not completely coincident, record the corresponding connecting lines as lines to be debugged. Based on the determined line to be tested, confirm the straight-line distance between the endpoint of the line to be tested and the nearest endpoint of the corresponding axis. Using the line to be tested as a reference, adjust the tilt of the smart street light. The tilt adjustment direction is from one endpoint of the line to be tested to the other endpoint. Record the change of the straight-line distance in real time during the tilt adjustment process. If the straight-line distance continues to decrease, stop when the determined straight-line distance meets the condition: straight-line distance ≤ 3cm. The associated test lines are determined step by step, and the tilt adjustment process of the smart streetlights is completed based on the test lines.

6. The method for guiding the hoisting and alignment of a smart street light according to claim 5, characterized in that, If both sets of connecting lines completely coincide with the built-in X-axis or built-in Y-axis, no processing is required.

7. The method for guiding the hoisting and alignment of a smart street light according to claim 5, characterized in that, If the straight-line distance continues to increase, change the debugging direction and determine the opposite direction until the determined straight-line distance satisfies the condition that the straight-line distance is ≤3cm.

8. A smart street light hoisting and alignment guidance system, operating according to any one of claims 1-7, characterized in that, include: At the reference data generation end, the hoisting position is confirmed, and the coordinate data of the foundation flange locator is read. Based on the coordinate data, three-dimensional spatial data belonging to the foundation flange is generated and recorded as reference data. The planar vector generation end uses the positioning sensors set inside the smart street light to confirm the actual position of the smart street light, and uses the actual position and the recorded reference data to confirm the planar vector of the smart street light. The reference data verification end, after the smart street light moves to the designated position according to the planar vector, generates an associated reference plane belonging to the smart street light based on the associated sensors set in the smart street light, verifies the associated reference plane with the reference data, and locks the rotation angle. After completing the rotation execution process of the smart street light, the tilt adjustment processing end confirms the difference distance between different endpoints based on the associated reference plane and reference data, and adjusts the tilt angle associated with the smart street light based on the difference distance to complete the alignment guidance process of the smart street light.

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