CN115953815A - Monitoring method and device for infrastructure site - Google Patents
Monitoring method and device for infrastructure site Download PDFInfo
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- CN115953815A CN115953815A CN202211659693.6A CN202211659693A CN115953815A CN 115953815 A CN115953815 A CN 115953815A CN 202211659693 A CN202211659693 A CN 202211659693A CN 115953815 A CN115953815 A CN 115953815A
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Abstract
The application provides a monitoring method and a device for a capital construction site, wherein the method comprises the steps of receiving image information of a target object; identifying the image information to obtain an identification result; based on the identification result, the monitoring information is generated and sent, the technical problem that personnel management efficiency of a capital construction site is low in the prior art is solved, and the purpose of monitoring the safety of personnel is achieved.
Description
Technical Field
The application relates to the technical field of infrastructure site monitoring, in particular to a monitoring method and device for a infrastructure site.
Background
The construction method is characterized by comprising an open construction scene, a complicated spatial structure and a large number of personnel, so that potential safety hazards are easy to appear on a capital construction site. The conventional safety management mode mainly based on field supervision is mainly adopted in the capital construction field. Along with the construction of a novel electric power system, the construction quantity of new energy power generation stations, energy storage stations and the like is rapidly increased, higher requirements are put forward on electric power infrastructure construction and personnel safety, and the traditional personnel management mode mainly based on field supervision no longer meets the requirements of the current power grid scale, mechanism setting and production activity quantity.
The environment and personnel of the infrastructure site are complex, personnel management of the infrastructure site is a weak link in safety management work, and managers can hardly manage the personnel of the infrastructure site in a site inspection mode. The traditional management mode mainly based on field supervision has low efficiency, and has the problems of untimely feedback of abnormal conditions of personnel on a infrastructure site, so that the phenomena of potential safety hazards such as incomplete management, illegal operation, non-civilized construction and the like exist in infrastructure site management.
Disclosure of Invention
In view of the above, the present application is directed to a method and an apparatus for monitoring a construction site, so as to overcome all or part of the disadvantages of the prior art.
Based on the above purpose, the present application provides a monitoring method for a capital construction site, which is applied to a monitoring end, and comprises: receiving image information of a target object; identifying the image information to obtain an identification result; and generating and sending monitoring information based on the identification result.
Optionally, the image information includes image information of a building site entrance guard; identifying the image information to obtain an identification result, wherein the identification result comprises the following steps: carrying out face recognition on the image information of the access control place of the capital construction site to obtain a face recognition result; and responding to the face identification result that the face identification is successful, and matching the image information of the access control place of the capital construction site with the prestored face information to obtain the identification result.
Optionally, the face recognition is performed on the image information of the access control site of the capital construction site to obtain a face recognition result, and the face recognition result includes: extracting key points and characteristic points of the image information of the access control site of the capital construction site; converting the image information at the entrance of the capital construction site into a matrix corresponding to the image information at the entrance of the capital construction site based on the key points and the feature points; calculating distances of the values in the matrix; and obtaining the face recognition result based on the size relation between the distance and the distance threshold.
Optionally, before receiving the image information of the target object, the method comprises: and responding to the received registration instruction, acquiring the identity information and the face information of the target object, and performing relevance storage on the identity information and the face information.
Optionally, the image information includes image information of construction sites of the infrastructure site; identifying the image information to obtain an identification result, wherein the identification result comprises the following steps: and adopting a pre-trained image recognition model to recognize whether safety helmet information exists in the image information of the construction site of the capital construction, and obtaining the recognition result.
Optionally, the image recognition model is a YOLO model, and the pre-training method of the image recognition model includes: acquiring a plurality of historical construction site image information, wherein the historical construction site image information comprises historical image information of a safety helmet worn by the target object and historical image information of a safety helmet not worn by the target object; marking the safety helmet in the historical image information of the safety helmet worn by the target object; dividing the image information of the historical construction site into a training set and a test set; initializing the weight of the image recognition model, and performing iterative training on the image recognition model by adopting the training set; and testing the image recognition model subjected to iterative training based on the test set to obtain a test evaluation parameter, and obtaining the trained image recognition model when the test evaluation parameter is greater than a preset evaluation threshold value.
The application also provides a monitoring method of the infrastructure site, which is applied to a cloud platform end and comprises the following steps: receiving position information of a target object; and establishing a corresponding relation between the position information and the map information based on the position information and pre-stored map information of the infrastructure site, and generating and sending a corresponding relation graph based on the corresponding relation.
Optionally, the method further comprises: and receiving and sending monitoring information and early warning information of the target object entering a preset area.
Based on the same inventive concept, the application also provides a monitoring device of the infrastructure site, which is applied to a monitoring end and comprises a first receiving module, a second receiving module and a third receiving module, wherein the first receiving module is configured to receive image information of a target object; the identification module is configured to identify the image information to obtain an identification result; a first transmitting module configured to generate and transmit monitoring information based on the recognition result.
Based on the same inventive concept, the application also provides a monitoring device of the capital construction site, which is applied to the cloud platform end and comprises a second receiving module, a first receiving module and a second receiving module, wherein the second receiving module is configured to receive the position information of a target object; and the second sending module is configured to establish a corresponding relation between the position information and the map information based on the position information and pre-stored map information of a capital construction site, and generate and send a corresponding relation graph based on the corresponding relation.
From the above, the monitoring method and device for the infrastructure site provided by the application can be used for receiving the image information of the target object, so that the condition of personnel in the infrastructure site can be acquired. The image information is identified to obtain an identification result, so that the efficiency of acquiring the abnormal conditions of the personnel in the infrastructure site is improved, and the abnormal conditions of the personnel are processed in time. Based on the identification result, the monitoring information is generated and sent, the management efficiency of personnel on the infrastructure site is improved, and the purpose of monitoring the personal safety of the personnel is achieved.
Drawings
In order to more clearly illustrate the technical solutions in the present application or related technologies, the drawings required for the embodiments or related technologies in the following description are briefly introduced, and it is obvious that the drawings in the following description are only the embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a monitoring method for a infrastructure site according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of a monitoring method for a capital construction site according to another embodiment of the present application;
FIG. 3 is a schematic structural diagram of a monitoring device in a capital construction site according to an embodiment of the present application;
FIG. 4 is a schematic structural diagram of a monitoring device in a capital construction site according to another embodiment of the present application;
fig. 5 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is further described in detail below with reference to specific embodiments and the accompanying drawings.
It should be noted that technical terms or scientific terms used in the embodiments of the present application should have a general meaning as understood by those having ordinary skill in the art to which the present application belongs, unless otherwise defined. The use of "first," "second," and similar terms in the embodiments of the present application is not intended to indicate any order, quantity, or importance, but rather is used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that the element or item listed before the word covers the element or item listed after the word and its equivalents, but does not exclude other elements or items. The terms "connected" or "coupled" and the like are not restricted to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", and the like are used only to indicate relative positional relationships, and when the absolute position of the object being described is changed, the relative positional relationships may also be changed accordingly.
As described in the background section, with the continuous expansion of the infrastructure construction scale, the traditional working methods of manual inspection and manual reporting cannot meet the requirements of infrastructure construction site management and control aiming at the characteristics of more workers, dispersed materials, complex management flow and the like of the infrastructure construction site, and personnel safety accidents are easy to occur in the infrastructure construction process. The traditional infrastructure site lacks an informatization means, the management efficiency is low, abnormal conditions exist in personnel management and cannot be fed back timely, and all information cannot be analyzed in real time and fed back timely, so that the phenomena of potential safety hazards such as improper management, illegal operation and civilized construction exist in the infrastructure site management.
In view of this, an embodiment of the present application provides a monitoring method for a infrastructure site, which is applied to a monitoring end with reference to fig. 1, and includes the following steps:
In this step, the target objects include personnel at the capital construction site and personnel at the non-capital construction site. The image information is obtained by shooting personnel by the camera, and the monitoring end receives the image information sent by the camera. The image information is derived from cameras at different positions of a capital construction site, the capital construction site is provided with a plurality of cameras, illustratively, a camera is arranged at an entrance guard of the capital construction site, the camera automatically shoots the face of a person under the condition that the person is at the entrance guard and the face is within the shooting range of the camera, and the shot image information is sent to a monitoring end, namely, the image information is derived from the camera at the entrance guard of the capital construction site. The method is characterized in that a camera is arranged at the construction site of the capital construction, the camera automatically shoots the head of a person under the condition that the person is at the construction site and the head is within the shooting range of the camera, and shot image information is sent to a monitoring end, namely the image information comes from the camera at the work site of the capital construction. The situation of personnel on the infrastructure site is acquired through the image information. And triggering the recognition of the image information in response to the monitoring end receiving the image information. It should be noted that the monitoring end adopts a high-configuration version of main control, main frequency and Graphics Processing Unit (GPU), which provides a strong monitoring processing capability for the monitoring end, and the monitoring end also integrates a high-performance Artificial Intelligence (AI) accelerator, which provides a strong AI computing capability.
And 102, identifying the image information to obtain an identification result.
In the step, the monitoring end identifies the image information, and different identification technologies are used for the image information according to the fact that the image information comes from different positions of a capital construction site, and different identification results are obtained. Illustratively, in the case that the image information is from an entrance guard of a capital construction site, the recognition technology is a face recognition technology, and the recognition results are that the face matching is successful and the face matching is unsuccessful. In the case where the image information is from a construction site in a capital construction site, the recognition technology is a helmet-specific recognition technology, and the recognition result is that a worker wears a helmet and the worker does not wear a helmet. In this embodiment, unsuccessful portrait matching and the absence of a crash helmet by a worker are considered as abnormal conditions of the person. The efficiency of obtaining the abnormal conditions of the personnel on the capital construction site is improved, and the abnormal conditions of the personnel can be processed in time.
And 103, generating and sending monitoring information based on the identification result.
In the step, the monitoring end sends monitoring information to the cloud platform end, wherein the monitoring information is information related to personnel in the infrastructure site. By monitoring the information, the condition of the person can be known, and thus the abnormal condition of the person can be determined. And the manager takes corresponding measures according to the abnormal conditions of the personnel, so that the personnel can be managed conveniently. Illustratively, when the image information is image information of an entrance guard at a infrastructure site, and the recognition result is that the portrait matching is successful and the portrait matching is unsuccessful, the monitoring information can be that the portrait matching is successful, and a worker enters the infrastructure site; the monitoring information can be that the portrait matching is unsuccessful and a person tries to enter the infrastructure site. And under the condition that the image information is image information of construction sites of the capital construction site, and the identification result is that a worker wears a safety helmet and the worker does not wear the safety helmet, the monitoring information can be XX (name of the person) without the safety helmet, and the monitoring information can be XX (name of the person) with the safety helmet. When the acquired monitoring information is characterized as abnormal condition information of personnel, for example, the monitoring information is that portrait matching is unsuccessful, and a person tries to enter a infrastructure site; monitoring information is XX (name of a person) without a safety helmet, and managers take corresponding measures according to abnormal conditions of the personnel, so that the management efficiency of the personnel on the infrastructure site is improved, and the purpose of monitoring the personal safety of the personnel is realized.
By the scheme, the image information of the target object is received, and the situation of personnel on the infrastructure site is acquired. The image information is identified to obtain an identification result, so that the efficiency of acquiring the abnormal conditions of the personnel in the infrastructure site is improved, and the abnormal conditions of the personnel are processed in time. Based on the identification result, the monitoring information is generated and sent, the management efficiency of personnel on the infrastructure site is improved, and the purpose of monitoring the personal safety of the personnel is achieved.
In some embodiments, the image information comprises image information of a capital construction site entrance guard; identifying the image information to obtain an identification result, wherein the identification result comprises the following steps: carrying out face recognition on the image information of the access control place of the capital construction site to obtain a face recognition result; and responding to the face identification result that the face identification is successful, and matching the image information of the access control place of the capital construction site with the prestored face information to obtain the identification result.
In the embodiment, the environment of the capital construction site is complex, and the entrance of external personnel is forbidden to prevent the occurrence of safety accidents. The camera at the access control place of the capital construction site automatically shoots the face of a person under the condition that the person is at the access control place and the face is in the shooting range of the camera, but the shot face is not clear, so that the face recognition of the shot face image is needed. And under the condition that the face recognition result is that the face recognition is successful, the face recognition result is matched with the pre-stored face information, and the matching accuracy is ensured through a clear face image. And the recognition result is that the portrait matching is successful or unsuccessful. It should be noted that, under the condition that the identification result is that the portrait is successfully matched, the monitoring end can also send an instruction for opening the entrance guard, and the entrance guard receives the instruction to control the entrance guard to be opened, so that the possibility that external personnel enter the infrastructure site is eliminated, the construction safety of the infrastructure site is ensured, and the personal safety of the personnel is also ensured. The face recognition technology is a biological recognition technology for carrying out identity recognition based on facial feature information of people, and is characterized in that a camera is used for collecting facial images or video streams containing people, automatically detecting and tracking faces in the images, and further identifying the detected faces. The pre-stored face information is face information of a worker stored in advance, and identity information of the worker is stored in association with the face information.
In some embodiments, the face recognition of the image information of the access control site of the capital construction site to obtain a face recognition result includes: extracting key points and characteristic points of the image information of the access control site of the capital construction site; converting the image information at the entrance of the capital construction site into a matrix corresponding to the image information at the entrance of the capital construction site based on the key points and the feature points; calculating distances of the values in the matrix; and obtaining the face recognition result based on the size relation between the distance and the distance threshold.
In this embodiment, the image information of the access control at the infrastructure site is face information of a person, the key points are extracted as key region positions of the face, including eyebrows, eyes, a nose, a mouth, a face and the like, and the feature points are extracted as points having identification for the key region positions of the face. The image information at the entrance of the capital construction site is expressed by numerical values, a matrix related to the image information is formed, and the image information is digitized, so that the abstract image information can be subjected to specific numerical analysis conveniently. The numerical distances in the matrix are calculated by euclidean distances, which are the distances between the numerical values calculated by two nested loop traversals. The distance threshold value is set according to parameters corresponding to the cameras at the gate inhibition place of the capital construction site, the distance threshold value can be relatively large under the condition that the parameters corresponding to the cameras are relatively good, and the distance threshold value can be relatively small under the condition that the parameters corresponding to the cameras are relatively poor. And under the condition that the numerical distance is greater than the distance threshold, the face recognition result is that the face recognition is successful, and under the condition that the numerical distance is less than or equal to the distance threshold, the face recognition result is that the face recognition is failed. Through the size relation, the clear image information of the face of the shot person can be determined, and the accuracy of the face recognition result is improved.
In some embodiments, prior to receiving image information of a target object, the method comprises: and responding to the received registration instruction, acquiring the identity information and the face information of the target object, and performing relevance storage on the identity information and the face information.
In this embodiment, a new worker at the infrastructure site does not yet store related information at the monitoring end, and needs to perform relevance registration on the identity information of the worker and the face information, where the identity information of the worker at least includes name information of the worker, so that the worker can smoothly enter the infrastructure site, and the abnormal condition of the specific worker can be accurately determined.
In some embodiments, the image information comprises construction site image information; identifying the image information to obtain an identification result, wherein the identification result comprises the following steps: and adopting a pre-trained image recognition model to recognize whether safety helmet information exists in the image information of the construction site of the capital construction, and obtaining the recognition result.
In this embodiment, the safety helmet provides safety protection for the staff in the capital construction site, and therefore, the wearing of the safety helmet for the staff is particularly important. And under the condition that the personnel are in the construction site and the head is in the shooting range of the camera, the head of the personnel is automatically shot, and the camera sends the shot image information of the construction site to the monitoring end. The pre-trained image recognition model firstly extracts the characteristics of the image at the construction site of the capital construction, and a convolutional neural network consisting of a convolutional layer and a pooling layer of the image recognition model is utilized for processing to generate a convolutional characteristic diagram. And classifying the feature map and the extracted features by using a detection layer of the image recognition model so as to recognize whether the corresponding image of the construction site of the capital construction contains the staff who does not wear the safety helmet. Based on the pre-trained image recognition model, a manager can find the worker who does not wear the safety helmet without patrolling in a capital construction site, and the efficiency of finding the worker who does not wear the safety helmet by the manager is improved.
In some embodiments, the image recognition model is a YOLO model, and the pre-training method of the image recognition model includes: acquiring a plurality of historical construction site image information, wherein the historical construction site image information comprises historical image information of a safety helmet worn by the target object and historical image information of a safety helmet not worn by the target object; marking the safety helmet in the historical image information of the safety helmet worn by the target object; dividing the image information of the historical construction site into a training set and a test set; initializing the weight of the image recognition model, and performing iterative training on the image recognition model by adopting the training set; and testing the image recognition model subjected to iterative training based on the test set to obtain a test evaluation parameter, and obtaining the trained image recognition model when the test evaluation parameter is greater than a preset evaluation threshold value.
In this embodiment, the YOLO (you only look once) model means a model that only needs to be browsed once to identify the category and position of an object in a graph, and is a real-time image detection model that combines classification with a regression problem of target location, thereby achieving high efficiency, flexibility, and better generalization performance. The YOLO model can identify a specific target in an image and has accurate identification capability. Before using the YOLO model to identify a specific target in an image, the recognition capability of the YOLO model needs to be trained.
And acquiring a large amount of image information of historical construction site construction. And (3) labeling the safety helmet in the historical image information of the safety helmet worn by the target object by using an image labeling tool to generate a txt file which accords with a YOLO specification. The data set can be divided into an 80% training set and a 20% verification set, the weight of the image recognition model is initialized, and the training set is used for training the YOLO model, so that a convolutional neural network layer and a detection layer in the YOLO model have corresponding working parameters, feature extraction capability and classification capability. And carrying out iterative training on the YOLO model through a training set and testing the YOLO model subjected to iterative training through a testing set to obtain a testing evaluation parameter, and finally obtaining the pre-trained YOLO model when the testing evaluation parameter is larger than a preset evaluation threshold value. The YOLO model provides a confidence value for each detected image. The confidence value is the probability that the identified key frame contains an unworn crash helmet person. For example, a confidence value of 0.9 indicates that the probability that the identified image contains an unworn crash helmet person is 90%. When the confidence value is above the confidence threshold, a trustworthy sample is identified. In this embodiment, 0.8 may be selected as the confidence threshold of the YOLO model, which is beneficial to determining the worker who does not wear the safety helmet and ensuring the personal safety of the worker under the condition of ensuring the recognition accuracy of the YOLO model.
The embodiment of the present application further provides a monitoring method for a infrastructure site, which is applied to a cloud platform end with reference to fig. 2, and includes the following steps:
In this step, the staff has worn the bracelet, and the bracelet utilizes the satellite to realize the location technique, considers that indoor positioning signal is weak, and the bracelet embeds there is the chip of high accuracy positioning algorithm, realizes the high accuracy location of capital construction scene to the staff, and wherein, high accuracy positioning algorithm can be Ultra Wide Band (UWB), indoor positioning algorithm. The bracelet sends staff's positional information to the monitoring end, and the cloud platform end is retransmitted to the monitoring end again, and the cloud platform end has realized the storage to staff's positional information.
In the step, the cloud platform converts the position information and displays the converted position information on a pre-stored map of the infrastructure site, so that a manager can conveniently check the position information of the staff in real time, and when the staff enters a sensitive area of the infrastructure site or leaves a designated area, the manager can enable the staff to leave the sensitive area of the infrastructure site or enter the designated area through broadcasting of the position of the staff, so that the construction order of the infrastructure site is guaranteed, and the staff can be conveniently managed.
Through the scheme, the position information of the target object is received, and the storage of the position information of the staff is realized. And based on the position information and pre-stored map information of the infrastructure site, establishing a corresponding relation between the position information and the map information, and generating and sending a corresponding relation graph based on the corresponding relation, so that the construction order of the infrastructure site is ensured, and the management of workers is facilitated.
In some embodiments, further comprising: and receiving and sending monitoring information and early warning information of the target object entering a preset area.
In this embodiment, the cloud platform receives monitoring information sent by the monitoring end, and the monitoring information may be divided into abnormal monitoring information and normal monitoring information. The cloud platform can automatically send the abnormal monitoring information to the monitoring equipment terminal, the cloud platform can also send the normal monitoring information to the monitoring equipment terminal in response to receiving a normal monitoring information acquisition instruction sent by the monitoring equipment, and managers can check the monitoring information through the monitoring equipment terminal. Exemplarily, in the case that the monitoring information is abnormal monitoring information, the abnormal monitoring information may be that the portrait matching is unsuccessful and a person tries to enter a infrastructure site; the abnormality monitoring information may also be XX (name of person) without a safety helmet. And the manager adopts a corresponding management means according to the received abnormal monitoring information. When the abnormal monitoring information is that the person is unsuccessfully matched and a person tries to enter the infrastructure site, a manager can check a camera at the access control position of the infrastructure site to judge whether the person can enter the infrastructure site. When the anomaly monitoring information is XX (name of person) without a safety helmet, the manager can call a safety officer in the area of XX (name of person) and remind XX (name of person) to wear the safety helmet by the safety officer. Under the condition that the monitoring information is normal monitoring information, the manager can send an instruction to actively acquire the normal monitoring information, and under the condition that the monitoring information is monitoring information of a capital construction site access control, the manager can check the attendance condition of workers. By monitoring the information, efficient management of personnel is achieved.
The bracelet is provided with the electronic fence function, and once the bracelet is worn that the staff enters a sensitive area or leaves a specified area without being prepared, the bracelet can warn the wearer and send early warning information to the cloud platform. The cloud platform stores the early warning information, and under the condition that specific workers receive the early warning information with the quantity exceeding the preset quantity, managers can conduct corresponding safety education on the workers. The intelligent positioning bracelet further has an emergency call function, and can press an SOS key for a long time when a worker needs emergency help, so that the monitoring equipment end is called by one key.
It should be noted that the method of the embodiment of the present application may be executed by a single device, such as a computer or a server. The method of the embodiment can also be applied to a distributed scene and completed by the mutual cooperation of a plurality of devices. In such a distributed scenario, one of the multiple devices may only perform one or more steps of the method of the embodiment, and the multiple devices interact with each other to complete the method.
It should be noted that the foregoing describes some embodiments of the present application. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments described above and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
Based on the same inventive concept, corresponding to the method of any embodiment, the application also provides a monitoring device for the capital construction site.
Referring to fig. 3, the monitoring device for the infrastructure site, applied to a monitoring end, includes:
a first receiving module 10 configured to receive image information of a target object.
And the identification module 20 is configured to identify the image information to obtain an identification result.
A second determining module 30 configured to determine the remaining capacity of the battery according to the corrected initial remaining capacity and a plurality of preset correction factors.
By the device, the image information of the target object is received, and the situation of personnel on the infrastructure site is acquired. And the image information is identified to obtain an identification result, so that the efficiency of acquiring the abnormal conditions of the personnel in the infrastructure site is improved, and the abnormal conditions of the personnel can be timely processed. Based on the identification result, the monitoring information is generated and sent, the management efficiency of personnel on the infrastructure site is improved, and the purpose of monitoring the personal safety of the personnel is achieved.
In some embodiments, the identification module 20 is further configured to configure the image information to include image information of a capital construction site entrance guard; carrying out face recognition on the image information of the access control place of the capital construction site to obtain a face recognition result; and responding to the face identification result that the face identification is successful, and matching the image information of the access control place of the capital construction site with the prestored face information to obtain the identification result.
In some embodiments, the identification module 20 is further configured to perform key point and feature point extraction on the image information of the capital construction site entrance guard; converting the image information at the entrance of the capital construction site into a matrix corresponding to the image information at the entrance of the capital construction site based on the key points and the feature points; calculating distances of the values in the matrix; and obtaining the face recognition result based on the size relation between the distance and the distance threshold.
In some embodiments, the method further includes an obtaining module 40, and the obtaining module 40 is configured to, before receiving the image information of the target object, obtain, in response to receiving the registration instruction, identity information and face information of the target object, and store the identity information and the face information in association with each other.
In some embodiments, the identification module 20 is further configured to determine the image information includes image information of a construction site; and adopting a pre-trained image recognition model to recognize whether safety helmet information exists in the image information of the construction site of the capital construction, and obtaining the recognition result.
In some embodiments, the pre-training module 50 is further included, and the pre-training module 50 is configured to obtain a plurality of historical construction site image information by using a YOLO model as the image recognition model, wherein the historical construction site image information includes historical image information of a safety helmet worn by the target object and historical image information of a safety helmet not worn by the target object; marking the safety helmet in the historical image information of the safety helmet worn by the target object; dividing the image information of the historical construction site into a training set and a test set; initializing the weight of the image recognition model, and performing iterative training on the image recognition model by adopting the training set; and testing the image recognition model subjected to iterative training based on the test set to obtain a test evaluation parameter, and obtaining the trained image recognition model when the test evaluation parameter is greater than a preset evaluation threshold value.
Based on the same inventive concept, corresponding to the method of any embodiment, the application also provides a monitoring device for the capital construction site.
Referring to fig. 4, the monitoring device for the infrastructure site is applied to a cloud platform, and includes:
a second receiving module 60 configured to receive the position information of the target object.
And a second sending module 70 configured to establish a correspondence between the location information and the map information based on the location information and pre-stored map information of the infrastructure site, and generate and send a correspondence map based on the correspondence.
Through the device, the position information of the target object is received, and the storage of the position information of the staff is realized. And based on the position information and pre-stored map information of the infrastructure site, establishing a corresponding relation between the position information and the map information, and generating and sending a corresponding relation graph based on the corresponding relation, so that the construction order of the infrastructure site is ensured, and the management of workers is facilitated.
In some embodiments, the monitoring system further comprises a third sending module 80, and the third sending module 80 is configured to receive and send monitoring information and warning information that the target object enters a preset area.
For convenience of description, the above devices are described as being divided into various modules by functions, which are described separately. Of course, the functionality of the various modules may be implemented in the same one or more software and/or hardware implementations as the present application.
The device of the above embodiment is used to implement the monitoring method of the corresponding infrastructure site in any of the foregoing embodiments, and has the beneficial effects of the corresponding method embodiment, which are not described herein again.
Based on the same inventive concept, corresponding to the method of any embodiment described above, the present application further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the program, the method for monitoring a infrastructure site according to any embodiment described above is implemented.
Fig. 5 is a schematic diagram illustrating a more specific hardware structure of an electronic device according to this embodiment, where the electronic device may include: a processor 1010, a memory 1020, an input/output interface 1030, a communication interface 1040, and a bus 1050. Wherein the processor 1010, memory 1020, input/output interface 1030, and communication interface 1040 are communicatively coupled to each other within the device via bus 1050.
The processor 1010 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits, and is configured to execute related programs to implement the technical solutions provided in the embodiments of the present disclosure.
The Memory 1020 may be implemented in the form of a ROM (Read Only Memory), a RAM (Random Access Memory), a static Memory device, a dynamic Memory device, or the like. The memory 1020 may store an operating system and other application programs, and when the technical solution provided by the embodiments of the present specification is implemented by software or firmware, the relevant program codes are stored in the memory 1020 and called to be executed by the processor 1010.
The input/output interface 1030 is used for connecting an input/output module to input and output information. The input/output module may be configured as a component in a device (not shown) or may be external to the device to provide a corresponding function. The input devices may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output devices may include a display, a speaker, a vibrator, an indicator light, etc.
The communication interface 1040 is used for connecting a communication module (not shown in the drawings) to implement communication interaction between the present apparatus and other apparatuses. The communication module can realize communication in a wired mode (such as USB, network cable and the like) and also can realize communication in a wireless mode (such as mobile network, WIFI, bluetooth and the like).
It should be noted that although the above-mentioned device only shows the processor 1010, the memory 1020, the input/output interface 1030, the communication interface 1040 and the bus 1050, in a specific implementation, the device may also include other components necessary for normal operation. In addition, those skilled in the art will appreciate that the above-described apparatus may also include only those components necessary to implement the embodiments of the present description, and not necessarily all of the components shown in the figures.
The electronic device of the above embodiment is used to implement the monitoring method of the infrastructure site corresponding to any one of the foregoing embodiments, and has the beneficial effects of the corresponding method embodiment, which are not described herein again.
Based on the same inventive concept, corresponding to any of the above-mentioned embodiment methods, the present application further provides a non-transitory computer-readable storage medium storing computer instructions for causing the computer to perform the monitoring method of the infrastructure site as described in any of the above embodiments.
Computer-readable media of the present embodiments, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device.
The computer instructions stored in the storage medium of the above embodiment are used to enable the computer to execute the monitoring method of the infrastructure site according to any embodiment, and have the beneficial effects of the corresponding method embodiment, which are not described herein again.
Those of ordinary skill in the art will understand that: the discussion of any embodiment above is meant to be exemplary only, and is not intended to intimate that the scope of the disclosure, including the claims, is limited to these examples; within the context of the present application, features from the above embodiments or from different embodiments may also be combined, steps may be implemented in any order, and there are many other variations of the different aspects of the embodiments of the present application as described above, which are not provided in detail for the sake of brevity.
In addition, well-known power/ground connections to Integrated Circuit (IC) chips and other components may or may not be shown in the provided figures for simplicity of illustration and discussion, and so as not to obscure the embodiments of the application. Furthermore, devices may be shown in block diagram form in order to avoid obscuring embodiments of the application, and this also takes into account the fact that specifics with respect to implementation of such block diagram devices are highly dependent upon the platform within which the embodiments of the application are to be implemented (i.e., specifics should be well within purview of one skilled in the art). Where specific details (e.g., circuits) are set forth in order to describe example embodiments of the application, it should be apparent to one skilled in the art that the embodiments of the application can be practiced without, or with variation of, these specific details. Accordingly, the description is to be regarded as illustrative instead of restrictive.
While the present application has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of these embodiments will be apparent to those skilled in the art in light of the foregoing description. For example, other memory architectures, such as Dynamic RAM (DRAM), may use the discussed embodiments.
The present embodiments are intended to embrace all such alternatives, modifications and variances which fall within the broad scope of the appended claims. Therefore, any omissions, modifications, substitutions, improvements, and the like that may be made without departing from the spirit and principles of the embodiments of the present application are intended to be included within the scope of the present application.
Claims (10)
1. A monitoring method of a capital construction site is characterized in that the monitoring method is applied to a monitoring end and comprises the following steps:
receiving image information of a target object;
identifying the image information to obtain an identification result;
and generating and sending monitoring information based on the identification result.
2. The method of claim 1, wherein the image information comprises image information of a capital construction site entrance guard;
identifying the image information to obtain an identification result, wherein the identification result comprises the following steps:
carrying out face recognition on the image information of the access control place of the capital construction site to obtain a face recognition result;
and responding to the face identification result that the face identification is successful, and matching the image information of the access control place of the capital construction site with the prestored face information to obtain the identification result.
3. The method of claim 2, wherein the face recognition of the image information of the access control site of the capital construction site to obtain a face recognition result comprises:
extracting key points and characteristic points of the image information of the access control site of the capital construction site;
converting the image information at the entrance of the capital construction site into a matrix corresponding to the image information at the entrance of the capital construction site based on the key points and the feature points;
calculating distances of the values in the matrix;
and obtaining the face recognition result based on the size relation between the distance and the distance threshold.
4. The method of claim 1, wherein prior to receiving image information of a target object, the method comprises:
and responding to the received registration instruction, acquiring the identity information and the face information of the target object, and performing relevance storage on the identity information and the face information.
5. The method of claim 1, wherein the image information comprises construction site image information;
identifying the image information to obtain an identification result, wherein the identification result comprises the following steps:
and adopting a pre-trained image recognition model to recognize whether safety helmet information exists in the image information of the construction site of the capital construction, and obtaining the recognition result.
6. The method of claim 5, wherein the image recognition model is a YOLO model, and the pre-training method of the image recognition model comprises:
acquiring a plurality of historical construction site image information, wherein the historical construction site image information comprises historical image information of a safety helmet worn by the target object and historical image information of a safety helmet not worn by the target object;
marking the safety helmet in the historical image information of the safety helmet worn by the target object;
dividing the image information of the historical construction site into a training set and a test set;
initializing the weight of the image recognition model, and performing iterative training on the image recognition model by adopting the training set;
and testing the image recognition model subjected to iterative training based on the test set to obtain a test evaluation parameter, and obtaining the trained image recognition model when the test evaluation parameter is greater than a preset evaluation threshold value.
7. A monitoring method for a capital construction site is characterized by being applied to a cloud platform end and comprising the following steps:
receiving position information of a target object;
and establishing a corresponding relation between the position information and the map information based on the position information and pre-stored map information of a capital construction site, and generating and sending a corresponding relation graph based on the corresponding relation.
8. The method of claim 7, further comprising:
and receiving and sending monitoring information and early warning information of the target object entering a preset area.
9. The utility model provides a monitoring devices on capital construction scene which characterized in that is applied to the monitoring end, includes:
a first receiving module configured to receive image information of a target object;
the identification module is configured to identify the image information to obtain an identification result;
a first transmitting module configured to generate and transmit monitoring information based on the recognition result.
10. The utility model provides a monitoring devices on capital construction scene which characterized in that is applied to cloud platform end, includes:
a second receiving module configured to receive location information of a target object;
and the second sending module is configured to establish a corresponding relation between the position information and the map information based on the position information and pre-stored map information of a capital construction site, and generate and send a corresponding relation graph based on the corresponding relation.
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| CN202211659693.6A CN115953815A (en) | 2022-12-22 | 2022-12-22 | Monitoring method and device for infrastructure site |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117492408A (en) * | 2024-01-03 | 2024-02-02 | 建龙西林钢铁有限公司 | Electronic fence safety system based on PLC and image recognition and control method thereof |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117492408A (en) * | 2024-01-03 | 2024-02-02 | 建龙西林钢铁有限公司 | Electronic fence safety system based on PLC and image recognition and control method thereof |
| CN117492408B (en) * | 2024-01-03 | 2024-04-02 | 建龙西林钢铁有限公司 | Electronic fence safety system based on PLC and image recognition and control method thereof |
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