A safety management method, device and system for an EPC engineering smart construction site

Abstract

The present application relates to wisdom construction site management technology, it discloses a kind of for EPC engineering wisdom construction site safety control method, device and system, improve the identification accuracy of the safety device wearing state in the actual operation process of construction personnel.This safety control method includes: sending broadcast instruction to unmanned aerial vehicle, broadcast instruction is used to control unmanned aerial vehicle broadcast data extraction instruction;Receive the wearing data of each worker sent by unmanned aerial vehicle, wearing data includes the identity of worker and state time sequence, state time sequence represents the timeline information of worker wearing safety device;The wearing data of each worker is analyzed, to determine whether there is historical rule breaker, historical rule breaker is worker without wearing safety device since last inspection time;Receive the image to be detected sent by unmanned aerial vehicle, and analyze each image to be detected, to determine whether there is immediate rule breaker, immediate rule breaker is the worker without wearing safety device currently.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of smart construction site management, in particular to a safety management and control method, device and system for EPC engineering smart construction site. BACKGROUND

[0002] With the acceleration of urbanization process and the continuous advancement of infrastructure construction in China, the engineering general contracting (EPC) mode, as a new type of construction engineering contracting mode that can effectively integrate upstream and downstream resources in the industry chain and break through the limitations of the traditional contracting mode, its application scale is expanding. EPC engineering usually has characteristics such as diverse engineering types, tight construction period, widely dispersed operation, complex bid division, strong mobility of personnel and equipment, and variable site environment, which makes the safety supervision and control in the construction process face severe challenges and become the core task throughout the whole engineering cycle.

[0003] In recent years, with the increasing maturity of Internet of Things technology and the promotion of the national digital technology industry, the concept of "smart construction site" has gradually penetrated into the field of building construction. The information-based, digital, standardized and intelligent control methods advocated by it have shown significant results in improving mechanical operation safety, personnel operation specification and construction process compliance. For example, through BIM (Building Information Modeling) technology, pipeline conflicts in the construction process can be simulated in advance and early warning can be achieved; by analyzing the images of the construction site with image processing technology, personnel who do not wear safety devices such as safety helmets and reflective vests can be screened out. These have become typical application scenarios of smart construction sites.

[0004] However, the existing technology still has deficiencies in personnel safety device wearing identification: taking safety helmet wearing identification as an example, the Chinese patent with publication number CN202310382275.5 proposes a method of using unmanned aerial vehicle to take pictures for identification. However, the construction site environment is complex, and it is not uncommon for some workers to wear safety helmets temporarily during the unmanned aerial vehicle inspection period and then remove them immediately after the inspection is over. Relying solely on images taken by unmanned aerial vehicles for identification makes it difficult to cover the actual wearing state in all time periods and all scenarios, which easily leads to missed identification or misidentification, seriously affecting the accuracy and effectiveness of safety management and control.

[0005] Therefore, how to break through the limitations of the existing technology and improve the identification accuracy of the wearing state of safety devices in the actual operation process of construction personnel has become a technical problem to be solved in the current field of safety management and control of smart construction sites. SUMMARY

[0006] The technical problem to be solved by the present application is to provide a safety management and control method, device and system for EPC engineering smart construction site, which improves the identification accuracy of the wearing state of safety devices in the actual operation process of construction personnel.

[0007] The present application solves the above technical problems by adopting the technical scheme of:

[0008] In one aspect, the present application provides a safety management method for an EPC engineering intelligent construction site, comprising:

[0009] When the UAV is in the inspection state, a broadcast instruction is sent to the UAV; the broadcast instruction is used to control the UAV to broadcast a data extraction instruction externally;

[0010] In response to a data sending request of the UAV, the wearing data of each worker transmitted by the UAV is received; wherein the wearing data is sent by the safety device worn by each worker to the UAV after receiving the data extraction instruction, and the wearing data contains the identity of the worker and a state time sequence, and the state time sequence is used to represent the time history of the worker wearing the safety device;

[0011] The wearing data of each worker is analyzed to determine whether there is a historical rule violator; the historical rule violator refers to a worker who has not worn a safety device since the last inspection time;

[0012] The image to be detected sent by the UAV is received, and each image to be detected is analyzed to determine whether there is an immediate rule violator; the image to be detected is an image collected by the UAV at the construction site, and the immediate rule violator refers to a worker who does not wear a safety device at present.

[0013] Further, the analysis of the wearing data of each worker to determine whether there is a historical rule violator comprises:

[0014] For each worker's wearing data, the state time sequence in the wearing data is extracted;

[0015] According to the state time sequence, the dismounting time period of the worker dismounting the safety device is determined;

[0016] According to the dismounting time period, it is determined whether the worker corresponding to the corresponding identity in the wearing data is a historical rule violator.

[0017] Further, the wearing data further comprises a position sequence for representing the position-time relationship;

[0018] According to the dismounting time period, it is determined whether the worker corresponding to the corresponding identity in the wearing data is a historical rule violator, comprising:

[0019] From the position sequence, the position information corresponding to the dismounting time period is determined;

[0020] According to the position information corresponding to the dismounting time period, the effective dismounting time length is determined, and the effective dismounting time length represents the time length of the worker dismounting the safety device in the construction site.

[0021] According to the effective doffing duration, it is determined whether the worker corresponding to the identity in the wearing data is a historical rule breaker.

[0022] Further, the method further comprises:

[0023] If it is determined that the effective doffing duration exceeds a duration threshold, the identity in the wearing data is extracted, and the worker corresponding to the identity is determined as a historical rule breaker; the duration threshold is dynamically set based on the average air temperature in the current detection period.

[0024] Further, the method further comprises:

[0025] The position acquisition instruction is used to control the UAV to broadcast a position acquisition request to acquire the instant positions of the safety devices.

[0026] The instant positions of the safety devices sent by the UAV are acquired, and an image acquisition instruction is generated based on the instant positions and sent to the UAV, the image acquisition instruction being used to control the UAV to acquire the to-be-detected image at the construction site.

[0027] Further, the method further comprises:

[0028] The emptying instruction is used to control the UAV to broadcast a data deletion instruction, and the data deletion instruction is used to delete the wearing data stored in the safety device after being received by the safety device.

[0029] Further, the method further comprises:

[0030] When it is determined that there is a historical rule breaker or an instant rule breaker, a target position of the rule breaker is determined from a position sequence of the rule breaker.

[0031] Based on the target position and the set positions of the audio devices at the construction site, a target audio device closest to the target position is determined.

[0032] Voice warning data is sent to the target audio device, and the voice warning data is played by using the target audio device.

[0033] In a second aspect, the present application further provides a safety management and control device for an EPC engineering intelligent construction site, comprising:

[0034] The instruction sending module is used to send a broadcast instruction to the UAV when the UAV is in a patrol state, and the broadcast instruction is used to control the UAV to broadcast a data extraction instruction.

[0035] receive the wearing data of each worker sent by the UAV in response to a data sending request of the UAV, wherein the wearing data is sent by the safety device corresponding to each worker in response to the data extraction instruction; the wearing data comprises an identity of the worker and a state time sequence, and the state time sequence represents timeline information of the worker wearing the safety device; and the system further comprises a receiving module, configured to receive an image to be detected sent by the UAV, wherein the image to be detected is an image collected by the UAV at the construction site;

[0036] analyze the wearing data of each worker to determine whether there is a historical rule breaker, wherein the historical rule breaker is a worker who has not worn the safety device since the last inspection time, and analyze each image to be detected to determine whether there is an immediate rule breaker, wherein the immediate rule breaker is a worker who does not wear the safety device at present.

[0037] In a third aspect, the present application further provides a safety control system for an EPC engineering intelligent construction site, which comprises a safety device, a UAV and a computer device; the safety device is a safety helmet and / or a reflective vest, the safety device is provided with a trigger sensor and a memory, the trigger sensor is used to detect whether a worker wears the safety device, and the memory is used to store the data collected by the trigger sensor;

[0038] The UAV communicates with the safety device and the computer device respectively to respond to the instructions of the computer device and broadcast corresponding instructions to the safety device.

[0039] The computer device is used to execute the safety control method.

[0040] Further, the safety device further comprises a position sensor, which is used to collect the position of the safety device and store the position information in the memory.

[0041] The present application has the following advantages:

[0042] (1) Improve the safety device wearing identification accuracy:

[0043] By combining the wearing data (including the state time sequence) stored by the safety device and the image to be detected collected by the UAV, dual identification of the "historical rule breaker" (a person who has not worn the safety device since the last inspection) and the "immediate rule breaker" (a person who does not wear the safety device at present) is realized. Not only does it avoid the problem of missed identification and misidentification caused by temporary wearing and then removing the safety device during the UAV image inspection, but also fills the control gap during the interval between the two inspections through historical data tracing, which significantly improves the identification accuracy of the personnel who do not wear the safety device in the actual construction.

[0044] (2) Optimizing the rationality of violation determination:

[0045] By matching the position sequence with the removal and unloading time period, the effective removal and unloading time of workers on the construction site is screened out, and the time threshold is dynamically set in combination with the average temperature. Only removal and unloading behaviors that exceed the reasonable range are judged as violations, reducing misjudgments caused by non-violation behaviors such as temporary adjustments to safety devices (such as wiping sweat, adjusting wearing posture), making management and control more in line with actual construction scenarios.

[0046] (3) Achieve full-cycle and precise management and control:

[0047] With the help of the status time series and position series of the safety device, the workers' wearing of the safety device in the interval between two inspections can be traced, realizing safety management and control of the entire construction period; at the same time, based on the location information of the violators, the nearest audio device is matched to issue voice warnings, realizing targeted and accurate reminders, and improving the timeliness and effectiveness of safety management and control. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 A schematic diagram of the application environment of the security management and control method in one embodiment.

[0049] Figure 2 A flowchart of a security management method in one embodiment.

[0050] Figure 3 The figure is a flowchart of determining historical offenders in one embodiment.

[0051] Figure 4 2 is a structural block diagram of a security management and control device in an embodiment.

[0052] Figure 5 2 is a structural block diagram of a security management and control system in one embodiment.

[0053] Figure 6 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0054] The present invention aims to provide a safety management and control method, device, and system for EPC engineering smart construction sites, which can improve the accuracy of identifying the safety device wearing status of construction workers during actual operations. The core concept is:

[0055] When the UAV enters the inspection state, the computer device sends a broadcast instruction to it, and the UAV broadcasts a data extraction instruction. After the safety device receives the instruction, it sends the stored wearing data containing the worker's identity, state time sequence and position sequence to the UAV, and then to the computer device. The computer device analyzes these data, determines the removal time period of the worker removing the safety device according to the state time sequence, and combines the position sequence to determine whether the removal behavior occurs in the construction site, and calculates the effective removal duration, to determine whether there is a historical rule breaker. At the same time, the system also sends instructions to the UAV to obtain the real-time position of the safety device, generates image acquisition instructions based on these position information, and the UAV collects the images of the construction site to be detected according to the image acquisition instructions and returns them to the computer device; the computer device analyzes the images to identify the real-time rule breakers who do not wear safety devices. When it is determined that there are rule breakers, the computer device can determine the position of the rule breakers from the position sequence of the rule breakers, and based on the setting position of each audio device in the construction site, determine the target audio device closest to the target position, and send voice warning data to it for reminding.

[0056] In order to make the purpose, technical scheme and advantages of the present application clearer, the present application will be further described in detail below in combination with the drawings and examples. It should be understood that the specific examples described herein are only used to explain the present application and do not limit the present application.

[0057] The safety management and control method for EPC engineering smart construction site provided by the embodiments of the present application can be applied to the application environment as shown in the figure. Figure 1 The safety device 102 communicates with the UAV 104 through the RFID (radio frequency identification technology) module. The safety device 102 can be but is not limited to a safety helmet and a reflective vest, and can also be other devices that can provide safety protection, such as a safety rope and a safety hook. The UAV 104 can communicate with the computer device 106 through the network; the UAV 104 can broadcast and collect data in response to the instructions of the computer device 106.

[0058] The computer device 106 includes, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, Internet of Things devices, and portable wearable devices, etc., wherein the Internet of Things devices can be smart speakers, smart televisions, smart air conditioners, smart vehicle devices, projection devices, etc. The portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc. The head-mounted devices can be virtual reality (VR) devices, augmented reality (AR) devices, smart glasses, etc. The computer device 106 can also be a standalone physical server, or a server cluster or distributed system formed by multiple physical servers, or a cloud server providing cloud computing services.

[0059] In a specific application, the above safety management method can be realized in the form of a software program loaded in the computer device 106, and the execution flow thereof is shown in Figure 1 , including steps 110-140. Figure 2

[0060] Step 110: When the unmanned aerial vehicle is in the inspection state, a broadcast instruction is sent to the unmanned aerial vehicle, and the broadcast instruction is used to control the unmanned aerial vehicle to broadcast a data extraction instruction.

[0061] For the embodiment of the present application, the computer device issues an inspection instruction to the unmanned aerial vehicle, wherein the inspection instruction includes inspection route data, and the inspection route data is composed of a position sequence of each inspection point; the unmanned aerial vehicle receives the inspection instruction and analyzes the inspection route data, and performs an inspection task on the construction site according to the inspection route data. The unmanned aerial vehicle communicates with the computer device in real time and reports real-time position information, and when the computer device determines that the unmanned aerial vehicle has arrived at the first inspection point on the inspection route, the computer device sends a broadcast instruction to the unmanned aerial vehicle; the unmanned aerial vehicle receives the broadcast instruction and broadcasts a data extraction instruction through the RFID module; the data extraction instruction can be received by the safety device of each worker within the communication range of the RFID module.

[0062] Step 120: In response to the data sending request of the unmanned aerial vehicle, the wearing data of each worker sent by the unmanned aerial vehicle is received.

[0063] ​For the embodiment of the present application, workers at the construction site are required to wear safety devices, and the safety devices are provided with an RFID module, a trigger sensor, an instruction processing module, a memory, etc. The trigger sensor is used to detect whether the worker wears the safety device, and the memory is used to store the data collected by the trigger sensor. These data are stored in the form of state time sequence and are associated with the identity of the worker corresponding to the safety device. The state time sequence includes the time when the worker starts to wear the safety device and the time when the worker removes the safety device. The RFID module is used to receive and send instructions / data, and the instruction processing module is used to process instructions and perform corresponding operations. When the RFID module in the safety device receives a data extraction instruction, the data extraction instruction is sent to the instruction processing module. The instruction processing module takes the state time sequence stored in the memory and the identity representing the worker's identity as wearing data and sends them to the unmanned aerial vehicle through the RFID module. The unmanned aerial vehicle sends the wearing data of each safety device received to the computer device through the network.

[0064] Step 130, analyze the wearing data of each worker to determine whether there is a historical rule breaker. The historical rule breaker is a worker who does not wear a safety device since the last inspection time.

[0065] For the embodiment of the present application, the computer device analyzes the wearing data of each worker received. First, the wearing data is parsed to extract the state time sequence in the wearing data and determine whether there is a time representing the removal of the safety device in the state time sequence. If not, further analysis of the state time sequence is abandoned, i.e., it is determined that the worker corresponding to the wearing data is not a historical rule breaker. If there is a time representing the removal of the safety device in the state time sequence, it cannot be immediately determined that the worker corresponding to the wearing data is a historical rule breaker. Further analysis of the state time sequence is required to determine whether the worker corresponding to the wearing data is a historical rule breaker. The specific analysis method will be described in the subsequent description in combination with the description of the embodiment of the present application. Figure 3

[0066] Step 140, receive the images to be detected sent by the unmanned aerial vehicle and analyze each image to be detected to determine whether there is an immediate rule breaker. The image to be detected is an image collected by the unmanned aerial vehicle at the construction site, and the immediate rule breaker is a worker who does not wear a safety device at present.

[0067] ​For the embodiments of the present application, the computer device sends corresponding image acquisition instructions to the unmanned aerial vehicle to collect images of the construction site. After collecting the images of the construction site, the unmanned aerial vehicle sends the collected images to the computer device as the images to be detected by the computer device. The computer device calls the pre-trained neural network-based identification model, inputs the images to be detected into the identification model, obtains the identification result, and the identification result includes whether there is a human target without wearing a safety device. Then, the computer device determines whether there is an instant rule violator in the construction site based on the identification result of each image to be detected by the identification model.

[0068] In addition, as a further optimization scheme, the image acquisition instruction can be sent to the unmanned aerial vehicle after it is determined that the unmanned aerial vehicle has transmitted all the wearing data to the computer device. In this way, the images collected by the unmanned aerial vehicle can avoid being transmitted to the computer device at the same time as the wearing data, thereby reducing the probability of data packet loss caused by data transmission congestion and improving the efficiency and integrity of data transmission.

[0069] In the above safety management and control method for EPC engineering intelligent construction site, the state time sequence of the worker wearing and taking off the safety device is temporarily stored in the safety device since the last inspection time; when the unmanned aerial vehicle is in the inspection state, the unmanned aerial vehicle broadcasts the data extraction instruction under the control of the broadcast instruction sent by the computer device; the safety device responds to the data extraction instruction and sends the wearing data including the identity and the state time sequence to the unmanned aerial vehicle; the unmanned aerial vehicle sends the wearing data of each safety device to the computer device for analysis, so as to analyze whether there is a historical rule violator without wearing a safety device since the last inspection time; and the analysis is further carried out on the images to be detected collected by the unmanned aerial vehicle, and whether there is an instant rule violator without wearing a safety device is determined according to the real-time site images; through the safety management and control method of the present application, not only the historical data in the safety device can be extracted, and the historical rule violator with historical rule violation behavior can be analyzed, but also the instant rule violator with real-time rule violation can be analyzed through image analysis, so that the missed identification of historical rule violation can be reduced, and the accuracy of identifying the personnel without wearing a safety device can be improved.

[0070] In one of the embodiments, after the unmanned aerial vehicle sends all the wearing data to the computer device, an identification code representing the completion of sending the wearing data is sent; the computer device determines the completion of the task of sending the wearing data by the unmanned aerial vehicle based on the identification code. As a further optimization scheme, the safety management and control method provided by the present application further includes sending a clear instruction to the unmanned aerial vehicle, the clear instruction being used to control the unmanned aerial vehicle to broadcast a data deletion instruction, and the data deletion instruction being received by the safety device and used to delete the wearing data stored in the safety device.

[0071] Since the wearing data stored in the safety device has been forwarded to the computer device for analysis by the UAV, these data will not be used again. The storage space of the memory in the safety device is limited, so after the UAV confirms that the computer device receives the wearing data of each safety device forwarded by the UAV through communication between the UAV and the computer device, the UAV broadcasts a clear instruction so that the safety device receives the clear instruction and clears the data stored in the memory, thereby providing storage space for subsequent data.

[0072] In one of the embodiments, in step 130, the wearing data of each worker is analyzed to determine whether there is a historical rule breaker. For specific processing flow, please refer to Figure 3 , including steps 131-133:

[0073] Step 131, for each worker's wearing data, extracting the state time sequence in the wearing data;

[0074] Step 132, determining the removal time period of the worker removing the safety device according to the state time sequence;

[0075] Step 133, determining whether the worker corresponding to the identity in the wearing data is a historical rule breaker according to the removal time period.

[0076] Specifically, the wearing data includes not only the state time sequence and the identity of the worker, but also the position sequence representing the position-time relationship. For each worker's wearing data, the computer device determines the position information corresponding to the removal time period from the position sequence; according to the position information corresponding to the removal time period, the effective removal duration is determined, which represents the duration of the worker removing the safety helmet in the construction site; thereby, according to the effective removal duration, it is determined whether the worker corresponding to the identity in the wearing data is a historical rule breaker.

[0077] Among them, the removal time period may include the time period when the worker is not in the range of the construction site, i.e. the worker is allowed to not wear the safety device outside the range of the construction site. However, some workers may carry the safety device with them and do not wear it outside the construction site. If the removal duration is directly calculated based on the removal time period, it may introduce a lot of invalid data, thereby leading to misjudgment of the worker's rule violation. Therefore, the position module is also set in the safety device, which can obtain the current position information of the safety device, and then the instruction processing module in the safety device can generate the position sequence representing the position-time relationship based on the position information.

[0078] By analyzing the position sequence, the position sequence is matched with the preset position range data of the construction site, so as to determine a time period during which the worker is located within the range of the construction site; based on the time period during which the worker is located within the range of the construction site, the time period is matched with the time period of taking off, and the overlapping time period is determined as an effective taking-off time period; and then the effective taking-off time period is determined based on the effective taking-off time period.

[0079] After the effective taking-off time period is determined, it needs to be compared with a time period threshold to determine whether the effective taking-off time period exceeds the time period threshold, so as to determine whether the worker violates the rules. In some cases of the construction site, the worker may temporarily take off the safety helmet to wipe sweat due to hot weather and a large amount of sweating, or adjust the posture by taking off the safety helmet due to discomfort, which should not be regarded as a violation. Therefore, a reasonable time period threshold can be set to avoid the temporary taking-off of the safety helmet being judged as a violation. Accordingly, the embodiment of the present application adopts a dynamic setting of the time period threshold, so that the setting of the threshold is more in line with the actual situation of the construction site. An exemplary setting method is that the computer device obtains the average temperature of the region where the construction site is located from the last inspection time to the present based on the position of the construction site, and then determines the corresponding time period threshold based on the average temperature. It can be understood that the higher the average temperature, the greater the demand for temporary taking-off of the safety helmet, and therefore the time period threshold is positively correlated with the average temperature.

[0080] Finally, the effective taking-off time period is compared with the time period threshold; if it is determined that the effective taking-off time period exceeds the time period threshold, the identity in the wearing data is extracted, and the worker corresponding to the identity is determined as a historical violation personnel.

[0081] In one of the embodiments, the safety control method provided by the present application further comprises: when it is determined that there is a historical violation personnel or an instant violation personnel, determining a target position of the violation personnel from the position sequence of the violation personnel; based on the target position and the setting position of each audio device (such as a sound column) of the construction site, determining a target audio device closest to the target position; sending voice warning data to the target audio device, and playing the voice warning data by using the target audio device.

[0082] As a further optimization scheme, when the historical violation personnel is determined, the latest position of the historical violation personnel is determined based on the position sequence corresponding to the historical violation personnel, that is, the target position of the historical violation personnel. For the instant violation personnel, the inspection point corresponding to the image to be detected corresponding to the instant violation personnel is obtained, and the inspection point is taken as the target position corresponding to the instant violation personnel.

[0083] As a further optimization scheme, before receiving the image to be detected sent by the unmanned aerial vehicle, the method further comprises: sending a position acquisition instruction to the unmanned aerial vehicle, the position acquisition instruction being used to control the unmanned aerial vehicle to broadcast a position acquisition request to acquire the instant positions of the safety devices fed back by the safety devices; acquiring the instant positions of the safety devices sent by the unmanned aerial vehicle, and generating an image acquisition instruction based on the instant positions and sending the image acquisition instruction to the unmanned aerial vehicle, the image acquisition instruction being used to control the unmanned aerial vehicle to collect the image to be detected at the construction site.

[0084] Specifically, the unmanned aerial vehicle sends the instant positions of the safety positions fed back by the safety devices received by the unmanned aerial vehicle to the computer device, and the unmanned aerial vehicle sends the inspection point position and the flight attitude of the unmanned aerial vehicle to the computer device, the flight attitude including the flight height and the heading angle; the computer device determines the photographing angle and the height based on the instant positions and the inspection point position, and generates an image acquisition instruction based on the photographing angle and the height and sends the image acquisition instruction to the unmanned aerial vehicle, so that the image to be detected collected by the unmanned aerial vehicle is more comprehensive and clearer.

[0085] It should be understood that, although each step in the flowchart involved in the above embodiments is displayed in sequence according to the arrow, these steps are not necessarily executed in the order indicated by the arrow. Unless otherwise specified herein, the execution of these steps is not strictly limited in sequence, and these steps can be executed in other orders. Moreover, at least part of the steps in the flowchart involved in the above embodiments can include multiple steps or multiple stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily sequential, but can be alternately executed with at least part of other steps or sub-steps or stages in other steps. It can be understood that the steps in different embodiments can be freely combined as needed, and various non-contradictory schemes formed by the combination are within the scope of protection of the present application.

[0086] Based on the same inventive concept, the embodiments of the present application also provide a safety management and control device for implementing the safety management and control method described above, which is shown in Figure 4 The safety management and control device 400 comprises an instruction sending module 401, a receiving module 402 and an analysis module 403, wherein:

[0087] The instruction sending module 401 is configured to send a broadcast instruction to the unmanned aerial vehicle when the unmanned aerial vehicle is in an inspection state, the broadcast instruction being used to control the unmanned aerial vehicle to broadcast a data extraction instruction.

[0088] The receiving module 402 is configured to receive the wearing data of each worker sent by the UAV in response to a data sending request of the UAV, the wearing data being sent by the safety device corresponding to each worker in response to the data extraction instruction, the wearing data including an identity of the worker and a state time sequence, the state time sequence representing timeline information of the worker wearing the safety device, and the receiving module 402 is further configured to receive the to-be-detected image sent by the UAV, the to-be-detected image being an image collected by the UAV at the construction site.

[0089] The analysis module 403 is configured to analyze the wearing data of each worker to determine whether there is a historical rule-violating worker, the historical rule-violating worker being a worker who does not wear the safety device since the last inspection time, and analyze each to-be-detected image to determine whether there is an instant rule-violating worker, the instant rule-violating worker being a worker who does not wear the safety device at present.

[0090] In one of the embodiments, the analysis module 403 is specifically configured to:

[0091] extract the state time sequence in the wearing data of each worker;

[0092] determine a removal time period of the worker removing the safety device according to the state time sequence;

[0093] determine whether the worker corresponding to the identity in the wearing data is the historical rule-violating worker according to the removal time period.

[0094] In one of the embodiments, the wearing data further includes a position sequence representing a position-time relationship, and the analysis module 403 is specifically configured to:

[0095] determine the position sequence corresponding to the worker in the removal time period from the position time period;

[0096] determine an effective removal duration according to the position sequence and the removal time period, the effective removal duration representing a duration of the worker removing the safety helmet in the construction site;

[0097] determine whether the worker corresponding to the identity in the wearing data is the historical rule-violating worker according to the effective removal duration.

[0098] In one of the embodiments, the analysis module 403 is specifically configured to:

[0099] if the effective removal duration exceeds a duration threshold, extract the identity in the wearing data, and determine the worker corresponding to the identity as the historical rule-violating worker, wherein the duration threshold is determined based on an average temperature in a current detection period.

[0100] In one of the embodiments, the instruction sending module 401 is further configured to:

[0101] The unmanned aerial vehicle is sent a clearing instruction, the clearing instruction is used to control the unmanned aerial vehicle to broadcast a data deletion instruction, and the data deletion instruction is received by the safety device and used to delete the wearing data stored in the safety device.

[0102] In one of the embodiments, the analysis module 403 is further configured to:

[0103] In the case where the historical rule breaker or the instant rule breaker is determined to exist, the target position of the corresponding rule breaker is determined from the position sequence of the rule breaker, the target audio device closest to the target position is determined based on the target position and the setting positions of the audio devices at the construction site, the voice warning data is sent to the target audio device, and the voice warning data is played by using the target audio device.

[0104] In one of the embodiments, the instruction sending module 401 is further configured to:

[0105] The unmanned aerial vehicle is sent a position acquisition instruction, the position acquisition instruction is used to control the unmanned aerial vehicle to broadcast a position acquisition request, so as to acquire the instant positions of the safety devices fed back by the safety devices.

[0106] The receiving module 402 is further configured to acquire the instant positions of the safety devices sent by the unmanned aerial vehicle, generate an image acquisition instruction based on the instant positions, and send the image acquisition instruction to the unmanned aerial vehicle, the image acquisition instruction being used to control the unmanned aerial vehicle to acquire the to-be-detected images at the construction site.

[0107] The modules in the safety control device 400 for the EPC engineering smart construction site described above can be all or partially realized by software, hardware, and combinations thereof. The modules described above can be embedded in or independent of the processor of the computer device in hardware form, or can be stored in the memory of the computer device in software form, so as to be called and executed by the processor to perform the operations corresponding to the modules.

[0108] In one of the exemplary embodiments, the present application further provides a safety control system for an EPC engineering smart construction site, as shown in Figure 5 The system includes safety devices, an unmanned aerial vehicle, and a computer device, wherein the safety devices are safety helmets and / or reflective vests, the safety devices are provided with trigger sensors, instruction processing modules, positioning modules, RFID modules, and memories; the trigger sensors are used to detect whether workers wear the safety devices, the memories are used to store the data collected by the trigger sensors; the positioning modules are used to acquire position information; the instruction processing modules are used to process instructions and perform corresponding tasks; and the RFID modules are used to communicate with the unmanned aerial vehicle. The unmanned aerial vehicle can communicate with the safety devices and the computer device respectively, and the unmanned aerial vehicle broadcasts corresponding instructions or acquires images in response to the instructions of the computer device.

[0109] The various limitations on the safety device and the unmanned aerial vehicle in the safety management method embodiments also apply to the various limitations on the safety device and the unmanned aerial vehicle in the system embodiments.

[0110] In this embodiment, the computer device is configured to execute the safety management method of any one of the above safety management method embodiments. In an exemplary embodiment, a computer device is provided, which can be a terminal, and its internal structure diagram can be as shown in Figure 6 The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit, and an input device. The processor, the memory, and the input / output interface are connected through a system bus, and the communication interface, the display unit, and the input device are connected to the system bus through the input / output interface. The processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operating system and the computer program in the non-volatile storage medium to run. The input / output interface of the computer device is configured to exchange information between the processor and external devices. The communication interface of the computer device is configured to perform wired or wireless communication with external terminals. The wireless communication can be achieved through WIFI, mobile cellular network, Near Field Communication (NFC), or other technologies. The computer program is executed by the processor to implement a safety management method for an EPC engineering smart construction site. The display unit of the computer device is configured to form a visually visible picture, which can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer overlaid on the display screen, or can be a key, a trackball, or a touchpad arranged on the shell of the computer device. The input device can also be an external keyboard, a touchpad, or a mouse, etc.

[0111] Those skilled in the art can understand that Figure 6 The structure shown in the above embodiment is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. The specific computer device can include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0112] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or authorized by all parties, and the collection, use, and processing of the relevant data comply with relevant regulations.

[0113] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when executed, can include the processes of the above-mentioned embodiment methods.

[0114] In the embodiments of the present application, the memory, database or other storage medium used can include at least one of a non-volatile memory and a volatile memory. The non-volatile memory can include a read-only memory (ROM), a magnetic tape, a floppy disk, a flash memory, an optical storage, a high-density embedded non-volatile memory, a resistive random access memory (ReRAM), a magnetoresistive random access memory (MRAM), a ferroelectric random access memory (FRAM), a phase change memory (PCM), a graphene memory, etc. The volatile memory can include a random access memory (RAM) or an external cache memory, etc. As an illustration but not limitation, the RAM can be in various forms, such as a static random access memory (SRAM) or a dynamic random access memory (DRAM), etc. The database involved in the embodiments of the present application can include a relational database or a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., but is not limited thereto. The processor involved in the embodiments of the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but is not limited thereto.

[0115] The technical features of the above embodiments can be combined in any manner. To make the description concise, not all possible combinations of the technical features in the above embodiments are described, but as long as the combinations of the technical features do not exist, they should be considered to belong to the scope of the present application.

[0116] Thus, although the above has been described with regard to embodiments of the present application, it will be understood by those skilled in the art that changes in form and detail can be made to the embodiments without departing from the spirit and scope of the application.

Claims

1. A safety management and control method for an EPC engineering smart construction site, characterized in that: include: When the drone is in the inspection state, a broadcast instruction is sent to the drone; the broadcast instruction is used to control the drone to broadcast data extraction instructions externally; In response to a data transmission request from a drone, receiving wear data of each worker transmitted by the drone; wherein the wear data is sent to the drone by the safety device worn by each worker after receiving a data extraction instruction, and the wear data includes the worker's identity and a state time series, wherein the state time series is used to represent the time history of the worker wearing the safety device; and the wear data also includes a position series used to represent the relationship between position and time; Analyze each worker's wearing data to determine whether there are any historical violators; historical violators refer to workers who have not worn safety devices since the last inspection; Receive images to be detected sent by drones and analyze each image to determine whether there are any immediate violators; the images to be detected are images captured by drones at the construction site, and immediate violators are workers who are not currently wearing safety equipment; The above analysis of each worker's wearable data to determine whether there are any historical violators includes: For the wear data of each worker, extract a state time series in the wear data; Determining a removal time period for a worker to remove the safety device based on the state time series; Determining, from the position sequence, position information corresponding to the removal time period; determining an effective removal time according to the position information corresponding to the removal time period, wherein the effective removal time represents a time period for a worker to remove the safety device at the construction site; According to the effective removal time, it is determined whether the worker corresponding to the corresponding identity identifier in the wearing data is a person with a history of violating regulations.

2. A safety management and control method for an EPC engineering smart site according to claim 1, characterized in that: The determining, based on the effective removal time, whether the worker corresponding to the corresponding identity identifier in the wearing data is a person with a history of violating regulations includes: If it is determined that the effective removal time exceeds the time threshold, the identity identifier in the wearing data is extracted, and the worker corresponding to the identity identifier is determined as a historical violator; the time threshold is dynamically set based on the average temperature in the current detection period.

3. A safety management and control method for an EPC engineering smart site according to claim 1, characterized in that: Before receiving the image to be detected sent by the drone, it also includes: Sending a position acquisition instruction to the drone, wherein the position acquisition instruction is used to control the drone to broadcast a position acquisition request to obtain the real-time position feedback from each safety device; The real-time position of each safety device sent by the drone is obtained, and an image acquisition instruction is generated based on the real-time position and sent to the drone. The image acquisition instruction is used to control the drone to collect images to be detected at the construction site.

4. A safety management and control method for an EPC engineering smart site according to claim 1, characterized in that: The method further includes: A clear command is sent to the drone, where the clear command is used to control the drone to broadcast a data deletion command. After the data deletion command is received by the safety device, it is used to delete the wearing data stored in the safety device.

5. A safety management and control method for an EPC engineering smart site according to claim 1, characterized in that: The method further includes: When it is determined that there is a historical offender or an immediate offender, determining the target position of the offender from the position sequence of the offender; Based on the target location and the installation locations of various audio devices at the construction site, determining a target audio device closest to the target location; The voice warning data is sent to the target audio device, and the voice warning data is played by the target audio device.

6. A safety control device for an EPC engineering smart site, characterized in that: include: The command sending module is used to send broadcast commands to the drone when the drone is in the inspection state. The broadcast commands are used to control the drone to broadcast data extraction commands; A receiving module is configured to respond to a data transmission request from a drone to receive wear data of each worker sent by the drone, wherein the wear data is sent to the drone by the safety device corresponding to each worker in response to a data extraction instruction; the wear data includes the worker's identity, a state time series, and a position series used to represent the relationship between position and time, wherein the state time series represents the timeline information of the worker wearing the safety device; and is configured to receive images to be detected sent by the drone, wherein the images to be detected are images captured by the drone at the construction site; The analysis module is used to analyze the wearing data of each worker to determine whether there are any historical violators. A historical violator is a worker who has not worn a safety device since the last inspection. It is also used to analyze each image to be detected to determine whether there are any immediate violators. An immediate violator is a worker who is not currently wearing a safety device. The above analysis of each worker's wearable data to determine whether there are any historical violators includes: For the wear data of each worker, extract a state time series in the wear data; Determining a removal time period for a worker to remove the safety device based on the state time series; Determining, from the position sequence, position information corresponding to the removal time period; determining an effective removal time according to the position information corresponding to the removal time period, wherein the effective removal time represents a time period for a worker to remove the safety device at the construction site; According to the effective removal time, it is determined whether the worker corresponding to the corresponding identity identifier in the wearing data is a person with a history of violating regulations.

7. A safety management and control system for EPC engineering smart construction sites, characterized in that: The system includes: a safety device, a drone, and a computer device; the safety device is a safety helmet and / or reflective clothing, and is provided with a trigger sensor and a memory. The trigger sensor is used to detect whether a worker is wearing the safety device, and the memory is used to store data collected by the trigger sensor. The drone communicates with the security device and the computer device respectively to respond to instructions from the computer device and broadcast corresponding instructions to the security device; The computer device is used to execute the safety management and control method for an EPC project smart site as described in any one of claims 1 to 5.

8. A safety management and control system for an EPC engineering smart site according to claim 7, characterized in that: The safety device further includes a position sensor, which is used to collect the position of the safety device and store the position information in the memory.

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