A system and method for identifying safety compliance of lifting equipment

Abstract

A system and method for identifying safety compliance of lifting equipment relate to the technical field of construction safety management, and include: a data acquisition module, a three-dimensional modeling module, a setting analysis module, an identification module and an early warning module. By collecting image data and environmental data of the lifting area and generating a corresponding three-dimensional model, the three-dimensional model is analyzed in combination with the environmental data to obtain the safety area of ​​the lifting equipment lifting objects and the safety area of ​​the personnel in the lifting area and perform safety calculations. When it is calculated that the safety area of ​​the lifting equipment lifting objects and the safety area of ​​the personnel in the lifting area overlap, an early warning message is output to remind the personnel in the lifting area. At the same time, the identification module identifies the lifted objects and outputs an early warning message when an abnormality occurs to remind the personnel in the lifting area. This solves the problem that the lifting equipment on the current construction site is prone to collision accidents and safety accidents caused by irregular operations during construction.

Description

Technical Field

[0001] The present invention relates to the technical field of construction safety management, and in particular to a system and method for identifying the safety compliance of hoisting equipment. Background Art

[0002] During the construction process, construction sites will use tower cranes, cranes and other lifting equipment for lifting operations. Currently, improper operations often occur when using lifting equipment for lifting operations, such as personnel and hoisting objects not maintaining a safe distance leading to collision accidents, as well as mixed lifting of long and short materials, personnel standing on hoisted objects, single-point lifting of steel bars, and the failure to use hoppers, cages and other tools in a standardized manner when lifting loose materials (large quantities and small sizes). The safety problems caused by the above-mentioned illegal operations are common, and there is currently no solution to the above-mentioned problems. Summary of the Invention

[0003] An embodiment of the present invention provides a lifting equipment safety compliance identification system and method, which collects image data and environmental data of the lifting area, generates a three-dimensional model corresponding to the lifting area by adopting a three-dimensional modeling method, and sets the size of the three-dimensional model according to the size of the real object. By analyzing the three-dimensional model in combination with the environmental data, the safety area of ​​the lifting object of the lifting equipment and the safety area of ​​the personnel in the lifting area are obtained and the safety degree is calculated. When the safety area of ​​the lifting object of the lifting equipment and the safety area of ​​the personnel in the lifting area are calculated to overlap, an early warning message is output to remind the personnel in the lifting area. At the same time, the recognition module identifies the lifted object and outputs an early warning message when an abnormality occurs to remind the personnel in the lifting area, which solves the problem that the lifting equipment on the current construction site is prone to collision accidents and safety accidents caused by irregular operations during construction.

[0004] A lifting equipment safety compliance identification system includes: a data acquisition module, a three-dimensional modeling module, a setting analysis module, an identification module and an early warning module;

[0005] The data acquisition module is used to collect image data and environmental data of the hoisting area;

[0006] The three-dimensional modeling module is used to construct a three-dimensional model based on the data collected by the data collection module;

[0007] The setting and analysis module is used to set the three-dimensional model constructed by the three-dimensional modeling module according to the data collected by the data collection module, and perform analysis to obtain analysis results;

[0008] The recognition module is used to recognize the image data collected by the data collection module and obtain a recognition result;

[0009] The early warning module is used to output early warning information based on the results of the setting analysis module and the identification module.

[0010] Furthermore, the data acquisition module includes an image acquisition unit and an environment data acquisition unit. The image acquisition unit is used to acquire image data of the hoisting area, and the environment data acquisition unit is used to acquire environment data of the hoisting area.

[0011] Furthermore, the environmental data collection unit collects environmental data of the hoisting area including wind speed, wind direction and weather data.

[0012] Furthermore, the setting analysis module includes a definition unit, a safety range calculation unit, a trajectory calculation unit and a safety degree calculation unit. The definition unit is used to calculate the size of the real object in the image based on the image data of the lifting area collected by the data acquisition module, and set the size of the three-dimensional model of the three-dimensional modeling module component according to the calculated size. The safety range calculation unit is used to calculate the safety area of ​​the lifting equipment lifting objects in the lifting area and the safety area of ​​the personnel in the lifting area according to the three-dimensional model of the three-dimensional modeling module component, and mark them with red circles. The trajectory calculation unit is used to calculate the movement trajectory of the lifting equipment lifting objects in the lifting area and the movement trajectory of the personnel in the lifting area. The safety degree calculation unit is used to calculate the safety degree of the personnel based on the safety range calculated by the safety range calculation unit and the movement trajectory of the lifting equipment in the lifting area and the movement trajectory of the personnel in the lifting area calculated by the trajectory calculation unit.

[0013] Furthermore, the safety range calculation unit also performs comprehensive calculations based on the environmental data collected by the data acquisition module when calculating the safety area of ​​the hoisting equipment hoisting objects in the hoisting area; the trajectory calculation unit also performs comprehensive calculations based on the environmental data collected by the data acquisition module when calculating the movement trajectory of the hoisting equipment hoisting objects in the hoisting area.

[0014] Furthermore, the warning module outputs warning information according to the analysis results obtained by the setting analysis module in the following manner: when the safety area of ​​the object hoisted by the hoisting equipment calculated by the safety calculation unit overlaps with the safety area of ​​the personnel in the hoisting area, the warning information is output.

[0015] Furthermore, the identification module includes a lifting point identification unit, a lifting object identification unit, a personnel identification unit and an equipment identification unit. The lifting point identification unit is used to identify the lifting point of the lifting equipment in the lifting area according to the image data collected by the data acquisition module to obtain an identification result. The lifting object identification unit is used to identify the lifting objects of the lifting equipment in the lifting area according to the image data collected by the data acquisition module. The personnel identification unit is used to identify the personnel in the lifting area according to the image data collected by the data acquisition module to obtain an identification result. The equipment identification unit is used to identify the lifting tools of the lifting equipment in the lifting area according to the image data collected by the data acquisition module to obtain an identification result.

[0016] Furthermore, the warning module outputs warning information according to the result of the identification module in the following manner: when the hoisting object identification unit identifies that the hoisting object is a long rod-shaped object, and the lifting point identification unit detects that it has only a single lifting point, the warning module outputs warning information; when the hoisting object identification unit identifies that the hoisting object is a mixed lifting of long and short materials, the warning module outputs warning information; when the personnel identification unit identifies that the hoisting equipment in the hoisting area hoists objects including people, the warning module outputs warning information; when the equipment identification unit identifies that the hoisting object is loose materials, the hoisting equipment does not use hoisting tools, and the warning module outputs warning information.

[0017] In a second aspect, an embodiment of the present invention provides a method for identifying safety compliance of hoisting equipment, comprising the following steps:

[0018] S1, hoisting area data acquisition, the image acquisition unit acquires image data of the hoisting area, and the environmental data acquisition unit acquires environmental data of the hoisting area;

[0019] S2, component three-dimensional model, a three-dimensional modeling module, builds a three-dimensional model based on the data collected by the data acquisition module;

[0020] S3, 3D model setting, the definition unit calculates the size of the real object in the image based on the image data of the hoisting area collected by the data acquisition module, and sets the size of the 3D model of the component of the 3D modeling module according to the calculated size;

[0021] S4, 3D model calculation: The safety range calculation unit calculates the safety area of ​​the hoisting equipment hoisting objects and the safety area of ​​the personnel in the hoisting area based on the 3D model of the 3D modeling module components, and uses red circles to mark them. The trajectory calculation unit calculates the movement trajectory of the hoisting equipment hoisting objects and the movement trajectory of the personnel in the hoisting area;

[0022] S5, safety degree calculation, the safety degree calculation unit calculates the safety degree of the personnel according to the safety range calculated by the safety range calculation unit and the movement trajectory of the hoisting equipment in the hoisting area and the movement trajectory of the personnel in the hoisting area calculated by the trajectory calculation unit;

[0023] S6, safety point identification, the lifting point identification unit identifies the lifting point of the lifting equipment in the lifting area according to the image data collected by the data acquisition module, and obtains an identification result; the lifting object identification unit identifies the lifting object of the lifting equipment in the lifting area according to the image data collected by the data acquisition module; the personnel identification unit identifies the personnel in the lifting area according to the image data collected by the data acquisition module, and obtains an identification result; the equipment identification unit identifies the lifting equipment and lifting tools in the lifting area according to the image data collected by the data acquisition module, and obtains an identification result;

[0024] S7, early warning, the early warning module outputs early warning information according to the results of the set analysis module and recognition module.

[0025] The beneficial effects of the above technical solutions provided by the embodiments of the present invention include at least:

[0026] 1. By collecting image data and environmental data of the lifting area, a three-dimensional model corresponding to the lifting area is generated by using a three-dimensional modeling method, and the size of the three-dimensional model is set according to the size of the real object. By analyzing the three-dimensional model in combination with the environmental data, the safety area of ​​the lifting equipment for lifting objects and the safety area of ​​the personnel in the lifting area are obtained and the safety degree is calculated. When the calculated safety area of ​​the lifting equipment for lifting objects and the safety area of ​​the personnel in the lifting area overlap, an early warning message is output to remind the personnel in the lifting area.

[0027] 2. When the hoisting object recognition unit identifies that the hoisting object is a long rod-shaped object and the lifting point recognition unit detects that it has only a single lifting point, the early warning module outputs an early warning message to remind the personnel in the hoisting area. When the hoisting object recognition unit identifies that the hoisting object is a mixed lifting of long and short materials, the early warning module outputs an early warning message to remind the personnel in the hoisting area. When the personnel recognition unit identifies that the hoisting equipment in the hoisting area is hoisting objects including people, the early warning module outputs an early warning message to remind the personnel in the hoisting area. When the equipment recognition unit identifies that the hoisting object is scattered materials and the hoisting equipment is not using hoisting tools, the early warning module outputs an early warning message to remind the personnel in the hoisting area.

[0028] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purposes and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0029] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0031] Figure 1 This is a schematic structural diagram of a lifting equipment safety compliance identification system disclosed in an embodiment of the present invention;

[0032] Figure 2 The present invention provides a flowchart of a method for identifying the safety compliance of lifting equipment disclosed in an embodiment of the present invention.

[0033] Reference numerals:

[0034] 1. Data acquisition module; 11. Image acquisition unit; 12. Environmental data acquisition unit; 2. Three-dimensional modeling module; 3. Setting analysis module; 31. Definition unit; 32. Safety range calculation unit; 33. Trajectory calculation unit; 34. Safety degree calculation unit; 4. Identification module; 41. Lifting point identification unit; 42. Lifting object identification unit; 43. Personnel identification unit; 44. Equipment identification unit; 5. Early warning module. DETAILED DESCRIPTION

[0035] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0036] Example 1

[0037] like Figure 1 As shown, an embodiment of the present invention provides a lifting equipment safety compliance identification system, comprising a data acquisition module 1, a three-dimensional modeling module 2, a setting analysis module 3, an identification module 4 and an early warning module 5;

[0038] Data acquisition module 1, used to collect image data and environmental data of the hoisting area;

[0039] Specifically, the data acquisition module 1 includes an image acquisition unit 11 and an environmental data acquisition unit 12. The image acquisition unit 11 is used to acquire image data of the hoisting area, and the environmental data acquisition unit 12 is used to acquire environmental data of the hoisting area. The environmental data acquisition unit 12 acquires environmental data of the hoisting area including wind speed, wind direction and weather data.

[0040] 3D modeling module 2, used to construct a 3D model based on the data collected by data collection module 1;

[0041] Specifically, the three-dimensional modeling module 2 constructs a three-dimensional model corresponding to the environment of the hoisting area based on the image data of the hoisting area collected by the data collection module 1.

[0042] The setting and analysis module 3 is used to set the three-dimensional model constructed by the three-dimensional modeling module 2 according to the data collected by the data collection module 1, and analyze it to obtain the analysis results;

[0043] Specifically, the setting analysis module 3 includes a definition unit 31, a safety range calculation unit 32, a trajectory calculation unit 33 and a safety degree calculation unit 34. The safety range calculation unit 32 also performs comprehensive calculations based on the environmental data collected by the data acquisition module 1 when calculating the safety area of ​​the hoisting equipment hoisting the object in the hoisting area. The trajectory calculation unit 33 also performs comprehensive calculations based on the environmental data collected by the data acquisition module 1 when calculating the motion trajectory of the hoisting equipment hoisting the object in the hoisting area. The definition unit 31 is used to calculate the size of the real object in the image based on the image data of the hoisting area collected by the data acquisition module 1, and to calculate the size of the components of the three-dimensional modeling module 2 based on the calculated size. The size of the three-dimensional model is set, and the safety range calculation unit 32 is used to calculate the safety area of ​​the hoisting equipment hoisting objects and the safety area of ​​the personnel in the hoisting area according to the three-dimensional model of the component of the three-dimensional modeling module 2, and use red circles to mark them. Among them, the specific marking process of the safety area of ​​the hoisting equipment hoisting objects and the safety area of ​​the personnel in the hoisting area is: according to the length of the boom of the hoisting equipment plus a distance of 5m as the safety radius, a safety area is constructed with the hoisting equipment as the center of the circle, and at the same time, the range of the safety area is adjusted according to the wind speed, wind direction and weather. In an environment with a high wind speed, the range of the safety area is expanded, and the area of ​​the red circle is increased. In rainy and foggy days with poor visibility, the scope of the safety zone is expanded, and the area of ​​the red circle increases. The safety range calculation unit 32 takes the personnel as the center and a distance of 3m as the safety radius to construct a safety zone. The trajectory calculation unit 33 is used to calculate the movement trajectory of the hoisting equipment hoisting objects in the hoisting area and the movement trajectory of the personnel in the hoisting area. The trajectory calculation unit 33 calculates the movement trajectory of the hoisting object according to the movement trend of the hoisting equipment hoisting objects combined with the wind speed and wind direction in the environmental data collected by the data acquisition module 1. The trajectory calculation unit 33 calculates the movement trajectory of the personnel in the hoisting area according to the facial orientation and movement trend of the personnel in the hoisting area. The full degree calculation unit 34 is used to calculate the safety degree of personnel based on the safety range calculated by the safety range calculation unit 32 and the movement trajectory of the lifting equipment in the lifting area and the movement trajectory of the personnel in the lifting area calculated by the trajectory calculation unit 33. The specific calculation process is: when the safety area of ​​the personnel in the lifting area is within the range of the movement trajectory and the safety area of ​​the object hoisted by the lifting equipment is within the range of the movement trajectory, the safety degree is judged to be safe when the safety area of ​​the object hoisted by the lifting equipment does not overlap with the safety area of ​​the personnel in the lifting area; when the safety area of ​​the object hoisted by the lifting equipment overlaps with the safety area of ​​the personnel in the lifting area, the safety degree is judged to be unsafe.

[0044] The recognition module 4 is used to recognize the image data collected by the data collection module 1 and obtain a recognition result;

[0045] Specifically, the identification module 4 includes a lifting point identification unit 41, a lifting object identification unit 42, a personnel identification unit 43 and an equipment identification unit 44. The lifting point identification unit 41 is used to identify the lifting point of the lifting equipment in the lifting area according to the image data collected by the data acquisition module 1 to obtain an identification result. The lifting object identification unit 42 is used to identify the lifting objects of the lifting equipment in the lifting area according to the image data collected by the data acquisition module 1. The personnel identification unit 43 is used to identify the personnel in the lifting area according to the image data collected by the data acquisition module 1 to obtain an identification result. The equipment identification unit 44 is used to identify the lifting tools of the lifting equipment in the lifting area according to the image data collected by the data acquisition module 1 to obtain an identification result.

[0046] Warning module 5, used to output warning information according to the results of setting analysis module 3 and identification module 4;

[0047] Specifically, the warning module 5 outputs warning information according to the analysis results obtained by the setting analysis module 3 in the following manner: when the safety area of ​​the object hoisted by the hoisting equipment calculated by the safety calculation unit 34 overlaps with the safety area of ​​the personnel in the hoisting area, the warning module 5 outputs warning information; the warning module 5 outputs warning information according to the result of the identification module 4 in the following manner: when the hoisting object identification unit 42 identifies that the hoisted object is a long rod-shaped object, and the lifting point identification unit 41 detects that there is only a single lifting point, the warning module 5 outputs warning information; when the hoisting object identification unit 42 identifies that the hoisted object is a mixed lifting of long and short materials, the warning module 5 outputs warning information; when the personnel identification unit 43 identifies that the hoisting equipment in the hoisting area hoisting objects includes people, the warning module 5 outputs warning information; when the equipment identification unit 44 identifies that the hoisted object is loose material, the hoisting equipment does not use lifting tools, and the warning module 5 outputs warning information.

[0048] The present invention overcomes the problems of the prior art hoisting equipment being prone to collision accidents and safety accidents caused by irregular operations during the construction process. The data acquisition module 1 collects image data and environmental data of the hoisting area, the 3D modeling module 2 generates a 3D model corresponding to the hoisting area according to the collected data, and the setting analysis module 3 sets the size of the 3D model according to the size of the real object. By analyzing the 3D model in combination with the environmental data, the safety area of ​​the hoisting object of the hoisting equipment and the safety area of ​​the personnel in the hoisting area are obtained and the safety degree is calculated. When it is calculated that the safety area of ​​the hoisting object of the hoisting equipment overlaps with the safety area of ​​the personnel in the hoisting area, the early warning module 5 outputs early warning information to remind the personnel in the hoisting area. When the hoisting object identification unit 42 in the identification module 4 identifies that the hoisting object is a long rod-shaped object, and the lifting point identification unit 41 detects that it has only a single lifting point, the early warning module 5 outputs an early warning message to remind the personnel in the lifting area. When the hoisting object identification unit 42 identifies that the hoisting object is a mixed lifting of long and short materials, the early warning module 5 outputs an early warning message to remind the personnel in the lifting area. When the personnel identification unit 43 identifies that the hoisting equipment in the lifting area hoists people, the early warning module 5 outputs an early warning message to remind the personnel in the lifting area. When the equipment identification unit 44 identifies that the hoisting object is loose material and the hoisting equipment does not use hoisting tools, the early warning module 5 outputs an early warning message to remind the personnel in the lifting area.

[0049] Example 2

[0050] The embodiment of the present invention also discloses a method for identifying the safety compliance of a lifting equipment, such as Figure 2 , including the following steps:

[0051] S1, hoisting area data collection, the image acquisition unit 11 collects image data of the hoisting area, and the environmental data acquisition unit 12 collects environmental data of the hoisting area;

[0052] S2, component three-dimensional model, three-dimensional modeling module 2, builds a three-dimensional model based on the data collected by data acquisition module 1;

[0053] S3, 3D model setting, the definition unit 31 calculates the size of the real object in the image based on the image data of the hoisting area collected by the data acquisition module 1, and sets the size of the 3D model of the component of the 3D modeling module 2 according to the calculated size;

[0054] S4, three-dimensional model calculation, the safety range calculation unit 32 calculates the safety area of ​​the hoisting equipment hoisting objects and the safety area of ​​the personnel in the hoisting area based on the three-dimensional model of the component of the three-dimensional modeling module 2, and uses red circles to mark them. The trajectory calculation unit 33 calculates the movement trajectory of the hoisting equipment hoisting objects and the movement trajectory of the personnel in the hoisting area;

[0055] Specifically, the safety range calculation unit 32 also performs comprehensive calculations in combination with the environmental data collected by the data acquisition module 1 when calculating the safety area of ​​the hoisting equipment hoisting objects in the hoisting area. The trajectory calculation unit 33 also performs comprehensive calculations in combination with the environmental data collected by the data acquisition module 1 when calculating the motion trajectory of the hoisting equipment hoisting objects in the hoisting area. The safety radius is calculated based on the length of the boom of the hoisting equipment plus a distance of 5m. The safety area is constructed with the hoisting equipment as the center of the circle. At the same time, the range of the safety area is adjusted according to the wind speed, wind direction and weather. In an environment with a high wind speed, the range of the safety area is expanded, and the area of ​​the red circle is increased. In an environment with poor visibility in rainy or foggy days, the range of the safety area is expanded, and the area of ​​the red circle is increased. The safety range calculation unit 32 constructs a safety area with the person as the center of the circle and a distance of 3m as the safety radius. The trajectory calculation unit 33 calculates the motion trajectory of the hoisted object based on the motion trend of the hoisting equipment hoisting object in combination with the wind speed and wind direction in the environmental data collected by the data acquisition module 1. The trajectory calculation unit 33 calculates the motion trajectory of the person in the hoisting area based on the facial orientation and motion trend of the person in the hoisting area.

[0056] S5, safety calculation: the safety calculation unit 34 calculates the safety of the personnel according to the safety range calculated by the safety range calculation unit 32 and the movement trajectory of the hoisting equipment in the hoisting area and the movement trajectory of the personnel in the hoisting area calculated by the trajectory calculation unit 33;

[0057] Specifically, during the process of the safety zone of personnel in the lifting area and the safety zone of the objects lifted by the lifting equipment moving within the range of the motion trajectory, if the safety zone of the objects lifted by the lifting equipment does not overlap with the safety zone of personnel in the lifting area, the safety degree is judged to be safe; when the safety zone of the objects lifted by the lifting equipment overlaps with the safety zone of personnel in the lifting area, the safety degree is judged to be unsafe.

[0058] S6, safety point identification, the lifting point identification unit 41 identifies the lifting point of the lifting equipment in the lifting area based on the image data collected by the data acquisition module 1 and obtains an identification result. The lifting object identification unit 42 identifies the lifting objects of the lifting equipment in the lifting area based on the image data collected by the data acquisition module 1. The personnel identification unit 43 identifies the personnel in the lifting area based on the image data collected by the data acquisition module 1 and obtains an identification result. The equipment identification unit 44 identifies the lifting equipment and lifting tools in the lifting area based on the image data collected by the data acquisition module 1 and obtains an identification result.

[0059] S7, early warning, the early warning module 5 outputs early warning information according to the results of the setting analysis module 3 and the identification module 4.

[0060] The present embodiment discloses a method for identifying safety compliance of lifting equipment, which generates a three-dimensional model corresponding to the lifting area by collecting image data and environmental data of the lifting area, and sets the size of the three-dimensional model. By analyzing the three-dimensional model in combination with the environmental data, the safety area of ​​the lifting object of the lifting equipment and the safety area of ​​the personnel in the lifting area are obtained and the safety degree is calculated. When the calculated safety area of ​​the lifting object of the lifting equipment overlaps with the safety area of ​​the personnel in the lifting area, when the lifting object is a long rod-shaped object with only a single lifting point, when the lifting object is a mixed lifting of long and short materials, when the lifting object includes people, when the equipment identification unit 44 identifies that the lifting object is a loose material, and when the lifting equipment does not use lifting tools, the early warning module 5 outputs early warning information to remind the personnel in the lifting area, corrects the illegal operations in time and prevents people from approaching the lifting objects, thereby solving the problem that the lifting equipment on the current construction site is prone to collision accidents and safety accidents caused by illegal operations during construction.

[0061] It should be understood that the specific order or hierarchy of steps in the disclosed processes is an example of an exemplary method. Based on design preferences, it should be understood that the specific order or hierarchy of steps in the process can be rearranged without departing from the scope of the present disclosure. The accompanying method claims present elements of the various steps in an exemplary order and are not intended to be limited to a specific order or hierarchy.

[0062] In the foregoing detailed description, various features are grouped together in a single embodiment to simplify the disclosure. This method of disclosure should not be interpreted as reflecting an intention that embodiments of the claimed subject matter require more features than are expressly recited in each claim. On the contrary, as reflected in the appended claims, the invention comprises less than all the features of any individual disclosed embodiment. The appended claims are therefore hereby expressly incorporated into the detailed description, with each claim standing on its own as a separate preferred embodiment of the invention.

[0063] Those skilled in the art will also appreciate that the various illustrative logic blocks, modules, circuits, and algorithmic steps described in conjunction with the embodiments herein may be implemented as electronic hardware, computer software, or a combination thereof. In order to clearly illustrate the interchangeability between hardware and software, the various illustrative components, blocks, modules, circuits, and steps described above are generally described around their functions. Whether such functions are implemented as hardware or software depends on the specific application and the design constraints imposed on the entire system. A skilled person may implement the described functions in an adaptable manner for each specific application, but such implementation decisions should not be interpreted as departing from the scope of protection of this disclosure.

[0064] The steps of the methods or algorithms described in conjunction with the embodiments herein may be directly embodied as hardware, software modules executed by a processor, or a combination thereof. The software module may be located in a RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, register, hard disk, removable disk, CD-ROM, or any other form of storage medium well known in the art. An exemplary storage medium is connected to the processor so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium may also be an integral part of the processor. The processor and storage medium may be located in an ASIC. The ASIC may be located in a user terminal. Of course, the processor and storage medium may also be present in a user terminal as discrete components.

[0065] For software implementation, the techniques described in this application can be implemented using modules (e.g., procedures, functions, etc.) that perform the functions of the application. These software codes can be stored in a memory unit and executed by a processor. The memory unit can be implemented within the processor or external to the processor. In the latter case, it is communicatively coupled to the processor via various means, which are well known in the art.

[0066] The foregoing description includes examples of one or more embodiments. Of course, it is not possible to describe all possible combinations of components or methods for the purposes of describing the above embodiments, but one of ordinary skill in the art will recognize that the various embodiments may be further combined and arranged. Therefore, the embodiments described herein are intended to encompass all such changes, modifications and variations that fall within the scope of the appended claims. Furthermore, to the extent the term "comprising" is used in the specification or claims, the term is intended to be encompassed in a manner similar to the term "including," as explained in terms of "including," used as a transitional word in the claims. Furthermore, any use of the term "or" in the specification of the claims is intended to mean a "non-exclusive or."

Claims

1. A lifting equipment safety compliance identification system, characterized in that: include: Data acquisition module, 3D modeling module, setting analysis module, identification module and early warning module; The data acquisition module is used to collect image data and environmental data of the hoisting area, wherein the environmental data includes wind speed, wind direction and weather data; The three-dimensional modeling module is used to construct a three-dimensional model based on the data collected by the data collection module; The setting and analysis module is used to set the three-dimensional model constructed by the three-dimensional modeling module according to the data collected by the data collection module, and perform analysis to obtain analysis results; The setting analysis module includes a definition unit, a safety range calculation unit, a trajectory calculation unit and a safety degree calculation unit. The definition unit is used to calculate the size of the real object in the image based on the image data of the lifting area collected by the data acquisition module, and set the size of the three-dimensional model of the three-dimensional modeling module component according to the calculated size. The safety range calculation unit is used to calculate the safety area of ​​the lifting equipment in the lifting area for lifting objects and the safety area of ​​the personnel in the lifting area according to the three-dimensional model of the three-dimensional modeling module component, and use red circles to mark them. The trajectory calculation unit is used to calculate the movement trajectory of the lifting equipment in the lifting area for lifting objects and the movement trajectory of the personnel in the lifting area. The safety degree calculation unit is used to calculate the safety degree of the personnel based on the safety range calculated by the safety range calculation unit and the movement trajectory of the lifting equipment in the lifting area and the movement trajectory of the personnel in the lifting area calculated by the trajectory calculation unit; The trajectory calculation unit calculates the motion trajectory of the hoisted object based on the motion trend of the hoisted object by the hoisting equipment and the wind speed and wind direction in the environmental data collected by the data collection module; The trajectory calculation unit calculates the movement trajectory of the person in the hoisting area according to the facial orientation and movement trend of the person in the hoisting area; The safety range calculation unit also performs comprehensive calculations based on the environmental data collected by the data acquisition module when calculating the safety area of ​​the hoisting equipment hoisting the object in the hoisting area. The trajectory calculation unit also performs comprehensive calculations based on the environmental data collected by the data acquisition module when calculating the motion trajectory of the hoisting equipment hoisting the object in the hoisting area. The recognition module is used to recognize the image data collected by the data collection module and obtain a recognition result; The recognition module includes a lifting point recognition unit, a lifting object recognition unit, a personnel recognition unit and an equipment recognition unit. The lifting point recognition unit is used to recognize the lifting point of the lifting equipment in the lifting area according to the image data collected by the data acquisition module to obtain a recognition result. The lifting object recognition unit is used to recognize the lifting object of the lifting equipment in the lifting area according to the image data collected by the data acquisition module. The personnel recognition unit is used to recognize the personnel in the lifting area according to the image data collected by the data acquisition module to obtain a recognition result. The equipment recognition unit is used to recognize the lifting tools of the lifting equipment in the lifting area according to the image data collected by the data acquisition module to obtain a recognition result. The early warning module is used to output early warning information according to the results of the setting analysis module and the identification module; The warning module outputs warning information according to the result of the identification module in the following manner: when the hoisting object identification unit identifies that the hoisting object is a long rod-shaped object and the lifting point identification unit detects that it has only a single lifting point, the warning module outputs warning information; when the hoisting object identification unit identifies that the hoisting object is a mixed lifting of long and short materials, the warning module outputs warning information; when the personnel identification unit identifies that the hoisting equipment in the hoisting area hoists an object including people, the warning module outputs warning information; when the equipment identification unit identifies that the hoisting object is a loose material and the hoisting equipment does not use hoisting tools, the warning module outputs warning information.

2. A lifting equipment safety compliance identification system according to claim 1, characterized in that: The data acquisition module includes an image acquisition unit and an environment data acquisition unit. The image acquisition unit is used to acquire image data of the hoisting area, and the environment data acquisition unit is used to acquire environment data of the hoisting area.

3. A lifting equipment safety compliance identification system according to claim 1, characterized in that: The warning module outputs warning information according to the analysis result obtained by the setting analysis module in the following manner: when the safety area of ​​the object hoisted by the hoisting equipment calculated by the safety calculation unit overlaps with the safety area of ​​the personnel in the hoisting area, the warning information is output.

4. A method for identifying safety compliance of lifting equipment, using a system for identifying safety compliance of lifting equipment according to any one of claims 1 to 3, characterized in that: The following steps are involved: S1, hoisting area data acquisition, the image acquisition unit acquires image data of the hoisting area, and the environmental data acquisition unit acquires environmental data of the hoisting area; S2, component three-dimensional model, a three-dimensional modeling module, builds a three-dimensional model based on the data collected by the data acquisition module; S3, 3D model setting, the definition unit calculates the size of the real object in the image based on the image data of the hoisting area collected by the data acquisition module, and sets the size of the 3D model of the component of the 3D modeling module according to the calculated size; S4, 3D model calculation: The safety range calculation unit calculates the safety area of ​​the hoisting equipment hoisting objects and the safety area of ​​the personnel in the hoisting area based on the 3D model of the 3D modeling module components, and uses red circles to mark them. The trajectory calculation unit calculates the movement trajectory of the hoisting equipment hoisting objects and the movement trajectory of the personnel in the hoisting area; S5, safety degree calculation, the safety degree calculation unit calculates the safety degree of the personnel according to the safety range calculated by the safety range calculation unit and the movement trajectory of the hoisting equipment in the hoisting area and the movement trajectory of the personnel in the hoisting area calculated by the trajectory calculation unit; S6, safety point identification, the lifting point identification unit identifies the lifting points of the lifting equipment in the lifting area based on the image data collected by the data acquisition module and obtains an identification result, the lifting object identification unit identifies the lifting objects of the lifting equipment in the lifting area based on the image data collected by the data acquisition module, the personnel identification unit identifies the personnel in the lifting area based on the image data collected by the data acquisition module and obtains an identification result, and the equipment identification unit identifies the lifting equipment and lifting tools in the lifting area based on the image data collected by the data acquisition module and obtains an identification result; S7, early warning, the early warning module outputs early warning information according to the results of the set analysis module and recognition module.

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