933 results about "Crash helmet" patented technology

The invention discloses a video analysis-based electric power operation personnel behavior identification and early warning system and method, which realize accurate identification and real-time early warning of electric power operation personnel behaviors by combining a video analysis technology with multi-modal data fusion, and effectively improve the safety management level of an operation site. Compared with a traditional safety supervision mode, the method employs a mode of combining deep learning target detection and time sequence behavior analysis, improves the recognition accuracy of operators and safety equipment, fuses the data of equipment worn by the operators with video data, improves the detection precision, and improves the safety supervision accuracy. And misjudgment caused by illumination change, shielding or complex environment is reduced. Besides, high-risk violation behaviors such as no safety helmet wearing, no safety belt fastening, violation climbing, high-altitude object throwing and the like are accurately recognized through the violation detection module, and different levels of alarm measures are adopted according to the severity of the violation behaviors in combination with an early warning feedback mechanism, so that the pertinence and response efficiency of early warning are improved.

Various embodiments of an accessory bracket for attaching accessories to protective equipment are shown. The accessory bracket includes a mounting bracket body, a center tab, and one or more cam levers that allow for secure attachment to protective equipment. The accessory bracket is designed to improve attachment and retention of accessories to protective equipment.

The invention relates to the technical field of computer vision security and protection, and discloses a helmet normative wearing identification method and system considering head key point positions, and the method comprises the steps: constructing a human body detection model and a helmet normative wearing classification model, and carrying out the training; collecting a monitoring video, performing frame extraction on a video stream according to a specific time interval to obtain a video frame, and positioning a human body in the video frame by using the trained human body detection model to output a human body image; reasoning each human body image through a human body key point recognition algorithm, positioning a plurality of key point positions of a human body, judging a head deflection posture by taking mutual positions among key points in a head region, and cutting a head region image according to the key points in the head region; and inputting the head region image into the standard helmet wearing classification model for reasoning and recognition, judging the head posture through head key point recognition, and judging whether the helmet is worn in a standard manner through the classification model, so that the method has relatively high generalization ability and recognition precision.

The invention provides a helmet standard wearing detection method based on improved YOLOv8, and belongs to the technical field of computer vision target detection. The technical problem that an existing detection algorithm cannot judge whether the safety helmet is worn normatively or not is solved. According to the technical scheme, the method comprises the following steps: S1, collecting sample data; s2, a variable convolution Deform ConvolutionV2 is adopted to replace a traditional convolution, and a variable convolution is adopted to replace the traditional convolution; s3, DCNV2 improvement based on MPCA is carried out; s4, an improved multi-scale feature fusion module; and S5, training the improved YOLOv8 network model by using the helmet standard wearing data set to obtain a trained model. The beneficial effects of the invention are that the method not only helps a manager to effectively supervise the wearing condition of the safety helmet on the working site, but also provides a new idea and example for the target detection technology based on deep learning in the field of safety helmet detection.

The invention discloses a multifunctional safety helmet management system and method based on the Internet of Things, relates to the field of safety production, and solves the problems that a traditional safety helmet is single in safety management function, insufficient in data processing precision and the like. A multi-dimensional state data sequence is continuously collected through a three-axis acceleration sensor, a temperature and humidity sensor, a positioning sensor, a vital sign sensor and the like integrated on the safety helmet terminal; terminal monitoring characteristics including an acceleration module value, a position drift distance and a physical sign fluctuation index are constructed, data reliability is evaluated through weighted fusion of dynamic fluctuation values, and an abnormal terminal is isolated. And carrying out space-time calibration on the reliable data to generate a unified coordinate system trajectory, analyzing and identifying abnormal behaviors through group trajectory consistency, and constructing a regional safety risk map in combination with a signal blind area coverage rate, thereby realizing safety risk level prediction based on historical data and real-time trajectory matching. According to the invention, comprehensive real-time monitoring of the state of the operator is realized, and the intelligent level of safety production management is improved.

The invention discloses an intelligent multifunctional safety helmet, which belongs to the technical field of intelligent safety helmets, integrates a plurality of functional modules such as high-definition audio and video, positioning, alarming and the like, is used for solving the safety problem in a production field operation process, and is used for assisting sensing positioning and correcting a real-time coordinate position by image analysis in a positioning and tracking process. The corrected real-time coordinate positions form continuous track points to generate a personnel dynamic operation track, the positioning accuracy is improved, then the personnel dynamic operation track and a preset standard operation track are subjected to matching early warning analysis, and based on the personnel dynamic operation track, video data and an environment sensing technology are combined, so that the positioning accuracy is improved. The track data, the video data and the environment sensor data are subjected to space-time alignment, track-environment associated risk analysis is realized, the safety of a real-time operation environment is further guaranteed, front-end field operation is more intelligent and safer, and rear-end project management is simpler and more efficient.

The invention provides a construction site monitoring method and system based on Beidou positioning and digital twinning, and relates to the technical field of highway construction supervision. According to the invention, real-time position information of equipment, personnel and vehicles on a construction site is accurately obtained through a Beidou positioning technology, and an equipment and personnel dynamic model and a traffic dynamic model are constructed in combination with vehicle passing data collected by road test equipment. And fusing the dynamic model with a pre-constructed construction site environment model by using a digital twinning technology to generate a high-precision construction site digital twinning model. According to the model, real-time three-dimensional visual monitoring of a construction site is realized, external intrusion and internal collision risks are effectively prevented, illegal behaviors of not wearing a safety helmet and the like are identified in combination with AI, and accident tracing is realized through the Internet of Things. The construction site can be comprehensively monitored without manual inspection, and the safety and inspection efficiency of highway construction are remarkably improved.

The invention relates to the technical field of safety engineering, in particular to an intelligent high-altitude and fire operation safety management system based on risk assessment, which comprises a safety helmet module, a data acquisition and transmission module, an edge calculation and processing module, a risk assessment and decision module, an emergency response module and a data analysis and optimization module. The intelligent safety helmet worn by each operator is integrated with a flame sensor and a height sensor, and flame information in an operation environment and height changes of the operators can be collected in real time. Through the low-power-consumption wireless communication technology, the collected data is transmitted to the edge computing device in real time, and the edge computing device calculates the comprehensive risk index through multi-sensor data fusion. And when the risk index exceeds a preset threshold value, the system automatically triggers alarm, sends early warning information to operators and a management platform, and takes emergency measures, so that the accident rate in high-altitude operation and fire operation can be effectively reduced, and the safety management level of the operation environment is improved.

The invention discloses a safety production management method and a production safety management system based on safety helmet detection, and relates to the technical field of production safety management. Multi-modal data acquisition is realized by constructing an explosion-proof intelligent camera cluster and a wearable positioning terminal, an improved YOLOv7-Tiny model and an HRNet key point detection technology are adopted, illumination compensation, atomization elimination and data enhancement technologies are combined, and precise recognition of the wearing state, the angle deviation and the compliance of the safety helmet is completed; triggering hierarchical response in real time based on a five-level dynamic early warning rule, predicting a future risk probability of an operator through an optimized MLP prediction network in combination with historical violation data, and formulating a personalized scheme; according to the invention, a closed-loop management system of real-time monitoring, intelligent early warning, behavior prediction and active intervention is formed, the occurrence rate of safety accidents is significantly reduced, and the safety standardization of operators and the safety management efficiency of enterprises are improved.

The invention provides a construction site safety supervision method and system based on multi-mode intelligent perception, and relates to the technical field of highway construction supervision. A construction area is scanned through a 5G camera, multi-mode intelligent sensing data such as videos, positioning and environment sensors are fused, a three-dimensional model of a construction site is constructed, and the positions of equipment and personnel are accurately determined. Beidou positioning and safe area setting are combined, real-time safety detection is carried out, illegal intrusion of external vehicles and personnel is effectively prevented, and construction of equipment and personnel outside a safe area is avoided. According to the method, illegal behaviors of not wearing safety helmets and the like are intelligently identified by using AI, post-accident tracing is realized through the Internet of Things, accurate traffic guidance information is published in combination with Atdes and Baidu maps, the collision risk and potential safety hazards are reduced, and the safety of a highway construction site is comprehensively improved.

The invention discloses a human-hat matching method, system and equipment based on an intelligent safety helmet, and relates to the technical field of biological feature recognition, and the human-hat matching method based on the intelligent safety helmet comprises the steps: determining a matching strategy according to a working area where the intelligent safety helmet is located; receiving a human-hat matching instruction, and generating a voice prompt-data acquisition instruction according to the matching strategy and the human-hat matching instruction; the voice prompt-data acquisition instruction is sent to the intelligent safety helmet located in a working electronic fence coverage area, so that the intelligent safety helmet sends a preset voice prompt and feeds back acquired identity data, and the intelligent safety helmet is in a power-on state and a wearing in-place state; and carrying out human-hat matching according to the matching strategy and the identity data to obtain a human-hat matching result. According to the invention, people-hat matching can be accurately carried out in construction areas under various working conditions, and the construction safety management level is effectively improved.

The utility model discloses a special-hole combined refractory brick which comprises a refractory brick body and a brick plug used for blocking, the refractory brick body is of a square structure, an observation hole is formed in the center of the refractory brick body, the observation hole is of an oval structure, and the observation hole penetrates through the whole refractory brick body. An observation hole is formed in one side of the refractory brick body, a plug hole is formed in the side, provided with the observation hole, of the refractory brick body, the plug hole is a round notch, the size of the plug hole is larger than that of the observation hole, and a brick plug is installed in the plug hole. As the brick plug is mounted in the plug hole for sealing and preventing the observation hole from being opened all the time, and the safety hole and the safety helmet are mounted on the brick plug, before the brick plug is opened, the safety helmet is opened to check whether safety exists or not, and potential safety hazards caused by large internal and external pressure difference are prevented.

The invention discloses an underground worker safety tracking system based on an intelligent safety helmet, relates to the technical field of intelligent monitoring of production safety, and solves the technical problem that the influence of dangerous factors on underground workers is difficult to accurately monitor and analyze in real time. Potential safety hazards can be found in time by monitoring parameters such as positioning, gas concentration and oxygen content of underground workers in real time, the probability of accident occurrence is reduced, the action track of the underground workers is analyzed, track abnormal signals are generated when abnormal speed occurs, potential risks are further judged in combination with heart rate data, and the safety of the underground workers is improved. According to the intelligent safety helmet, the monitoring precision of the safety state of a worker is improved, early warning can be given out in time under dangerous conditions, the life safety of the worker is guaranteed, and the intelligent safety helmet integrates multiple functional units and is easy to operate. Operators can flexibly set parameters such as time t and threshold values according to actual conditions, and adaptability and practicability of the system are improved.

The invention provides an indoor pedestrian trajectory prediction method based on multiple sensors, and relates to the technical field of data processing, and the method comprises the steps: measuring the magnetic field intensity of an environment where a pedestrian is located through two magnetometers disposed in front of and behind a safety helmet; according to an accelerometer, a gyroscope and a magnetometer at the front end of the safety helmet, measuring postures of the safety helmet in real time, including a roll angle, a pitch angle and a yaw angle, correcting magnetic field data of a Z axis of the magnetometer, and converting the magnetic field data to a Z axis of a navigation coordinate system; preprocessing the corrected Z-axis magnetic field intensity, including filtering and normalization, so as to obtain preprocessed data; and matching magnetic field waveform data in the processed data by using a dynamic time warping algorithm to obtain a magnetometer matching result. According to the invention, through multi-sensor fusion, accurate tracking and real-time updating of the pedestrian motion trail are realized, and the accuracy of position positioning is improved.

The embodiment of the invention discloses a dust toxicity detection system and method and a safety helmet, the dust toxicity detection system comprises a detection device and a service platform, a particulate matter sensor of the detection device is used for collecting particulate matter concentration information, and a gas sensor of the detection device is used for collecting harmful gas concentration information; a data processing device of the detection equipment is used for determining a detection result of a target environment and performing alarm processing when the detection result indicates that the target environment is abnormal, and a communication device of the detection equipment is used for sending particulate matter concentration information and harmful gas concentration information to a service platform. And the service platform is used for determining a detection record according to the harmful gas concentration information and the particulate matter concentration information. Therefore, the gas sensor and the particulate matter sensor are integrated into the detection equipment, so that particulate matters and harmful gases in the target environment are detected at the same time, and the situation that the load of operators is increased due to the fact that multiple detection equipment is carried at the same time is also avoided.

A helmet, which can, for instance, be a sports helmet or a work safety helmet, comprises a helmet body that comprises a solid foam of expanded foam particles, wherein the solid foam at least regionally has a varying hardness.

The invention discloses an intelligent monitoring safety helmet capable of promoting standard wearing and a use method. The safety helmet comprises a helmet body; the cheek protection plates are arranged on the two sides of the cap body and can automatically rotate downwards to the two sides of the cheek when being worn; the chin strap is arranged on the front side in the helmet body; the blocking belt stretches across the interior of the helmet body, and when the helmet is worn, the blocking belt stretches upwards due to the pressure applied by the head, drives the cheek protection plate to rotate downwards to the two sides of the cheek, and then drives the chin belt to rotate downwards; the pressure sensor is arranged on the inner side of the tail part of the cheek protection plate; the voice prompt device is arranged at the end part of the cheek protection plate; the voice prompt device is electrically connected with the pressure sensor, when the pressure value detected by the pressure sensor is lower than a preset threshold value, the voice prompt device can send out a voice prompt for reminding standard wearing, a wearer is prompted to fasten the chin strap, and the technical effect that the safety helmet can be worn in a standard mode is achieved.

The utility model discloses an engineering safety helmet which comprises a helmet body, one side of the helmet body is fixedly connected with a fixing block, one side of the fixing block is fixedly connected with a U-shaped frame, the U-shaped frame is rotationally connected with a transverse rod, one side of the U-shaped frame is fixedly connected with a box body, one end of the transverse rod penetrates through the U-shaped frame and is inserted into the box body, and the other end of the transverse rod is fixedly connected with the box body. A disc is fixedly connected to one end of the transverse rod, a plurality of limiting holes are formed in the outer side of the disc at equal intervals and matched with the limiting assemblies, a connecting block is placed on the transverse rod, a containing groove is formed in the connecting block, an illuminating lamp body is arranged at the upper end of the connecting block, and two external threads are formed in the transverse rod. By means of the device, the angle of the illuminating lamp body on the engineering safety helmet can be adjusted, and meanwhile the illuminating lamp body can be replaced conveniently.

The invention provides a safety helmet detection model quantification method for edge intelligent equipment. Through data acquisition, data enhancement and construction of a target detection model combining YOLOv5 and an SE attention mechanism, the safety helmet detection accuracy can be remarkably improved, meanwhile, model quantization is performed by using an MLIR deep learning compiler, memory occupation and calculation requirements are greatly reduced, and the detection model can efficiently run on edge equipment with limited resources. The method can be used for efficiently detecting the wearing condition of the safety helmet in scenes such as construction sites and workshops, can also greatly reduce hardware cost and energy consumption, and has wide application prospects and market value.

Systems and methods of a safety helmet for protecting the human head against repetitive impacts, moderate impacts and severe impacts so as to significantly reduce the likelihood of both translational and rotational brain injury and concussions may be provided. The helmet may include an outer shell, an outer liner disposed within and coupled to the outer shell, and an inner liner disposed within and coupled in spaced opposition to the outer liner. A damper array may allow for omnidirectional movement of the inner liner relative to the outer liner and the outer shell.

The utility model relates to the technical field of building construction, in particular to an engineering building safety helmet placing cabinet which comprises a support, one side of the support is fixedly connected with a placing cabinet frame, one side of the placing cabinet frame is in threaded connection with a first bolt, a mounting frame is arranged on the surface of the first bolt, and a through hole is formed in the mounting frame. And a second bolt is rotationally connected into the through hole. The safety helmet bracket has the advantages that a shell core of a safety helmet placed in the placing groove can be ventilated through the through hole formed in the mounting frame, heat and water vapor in an inner cavity of the safety helmet placed in the placing groove can be diffused through the through hole, the bracket is supported through the through hole and the connecting piece, and therefore the breathability of the inner cavity of the safety helmet is improved; and the worker can adjust the position of the bracket on one side of the mounting frame according to the position of the through hole through a second bolt, so that the worker can better utilize the space in the placement cabinet.

The invention relates to the technical field of construction safety management. The construction personnel safety helmet wearing detection method comprises the steps that a YOLOv8 target detection model is used for carrying out safety helmet target detection on real-time monitoring video information of a construction area, and a safety helmet detection result is obtained; a semantic segmentation algorithm and a head key point detection technology are adopted to identify the safety helmet wearing state of a constructor to obtain a wearing state judgment result, a color feature extraction method is adopted to perform color classification on safety helmets to obtain a safety helmet color classification result, and a target tracking algorithm is adopted to perform target tracking on the constructor to obtain a target tracking result. The method comprises the steps of obtaining a target tracking result, performing analysis according to a preset violation detection rule based on the target tracking result, and generating safety early warning information if it is detected that a constructor does not wear a safety helmet or mistakenly wears the safety helmet. According to the invention, real-time detection of the safety helmet wearing state of the constructor is realized.

The invention provides a safety helmet wearing condition detection method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining an operation site video shot by a camera, and obtaining a first historical operation site picture and corresponding historical safety helmet wearing condition information in a database, training an improved YOLOv5 network model by using the first historical operation site picture and the corresponding historical safety helmet wearing condition information to obtain a safety helmet wearing condition detection model, and inputting the operation site video to the safety helmet wearing condition detection model optimized based on a multi-target tracking algorithm to detect the safety helmet wearing condition. And obtaining a safety helmet wearing condition detection result. The method for detecting the safety helmet wearing condition detection result of the working site by using the optimal tracking detection model is formed, and the problem that the safety helmet wearing condition detection is inaccurate due to the reasons that the working site condition is complex, the monitoring personnel are easy to fatigue and the like is solved.

The utility model relates to the technical field of safety helmets, and particularly discloses a safety helmet lining and a connecting mechanism of the safety helmet lining and a safety helmet, the safety helmet lining comprises a safety helmet main body, a helmet lining and a head circumference bridle, and clamping grooves are uniformly distributed on the inner wall of the safety helmet main body; lining belts corresponding to the clamping grooves in number are arranged on the periphery of the cap lining, and the ends of the lining belts are connected with the clamping grooves in a clamped mode; part of the lining belt penetrates through the head circumference binding belt, a longitudinal limiting piece is arranged between the lining belt and the head circumference binding belt, and the lining belt and the head circumference binding belt are transversely connected in a sliding mode. According to the safety helmet lining and the connecting mechanism of the safety helmet, six clamping grooves are evenly distributed in the inner wall of a safety helmet body, namely a helmet shell, then lining belts connected with the lining are connected with the clamping grooves one by one, and the lining belts are fixed to the safety helmet body without using rivets. The connecting seat is arranged above the binding belt and connected with the lining belt, the head circumference binding belt and the lining belt can move horizontally, and the size of the head circumference of the head circumference binding belt can be adjusted more widely.

The utility model discloses a safety helmet impact experience device with an automatic demonstration function, which comprises an experience cabin, a vertically arranged guide cylinder is arranged at the top of the experience cabin, a lifting rope and a lifting ball penetrate through the guide cylinder, a vertical guide rail is arranged at the top end of the outer wall of the experience cabin, a lifting seat is slidably arranged on the vertical guide rail, and the lifting seat is provided with a sliding block. A take-up and pay-off mechanism capable of pulling the lifting rope to ascend is arranged on the lifting seat; a lifting table is arranged in the experience cabin, and a standing groove is formed in the middle of the lifting table. The utility model relates to a safety helmet impact experience device with an automatic demonstration function, which belongs to the technical field of safety training demonstration equipment and can demonstrate the situation that experiencers with different heights are hit by objects falling from high altitude after wearing safety helmets and adjust a hanging ball to fall from different heights, so that the experiencers feel hit by the objects with different heights.

The invention discloses a safety helmet wearing detection method and device in a construction scene and a medium, an image is divided into grids, a sliding window is constructed to extract feature information in the grid image, the calculation amount is reduced, the problem of imbalance between positive and negative samples is relieved, the amplitude of an anchor frame in each direction is obtained through descriptors, and the safety helmet wearing detection accuracy is improved. According to the method, the gradient magnitude in the neighborhood in the interpolation direction is obtained, feature point positioning is performed based on the gradient magnitude, and the anchor frame is screened, so that a target object can be accurately positioned, the detection accuracy is improved, more accurate identification data is obtained by eliminating splicing gaps, and the image is denoised to improve the image quality, so that the image identification precision is improved. According to the invention, the method optimizes the training process of the model, improves the generalization capability and processing speed of the model, can achieve the quick and automatic recognition of whether a worker in a construction site wears a safety helmet or not, improves the safety management efficiency, and reduces the safety accidents caused by not wearing the safety helmet.

The invention relates to the technical field of safety helmet injection molding, in particular to safety helmet injection molding equipment convenient to cool, which comprises a lower workbench, an upper workbench and a box body, the upper portion of the lower workbench is connected with a box. The upper part of the box is connected with an upper workbench; the device further comprises a spraying mechanism, a transferring mechanism and a dehumidifying mechanism. The box body is connected with a spraying mechanism; the rear part of the box body is connected with a transfer mechanism; the outer wall of the box body is connected with a dehumidification mechanism. Mist-shaped cooling liquid is sprayed to the outer surfaces of the lower mold and the upper mold through the spraying mechanism, cooling water pipes in the lower mold and the upper mold are matched, internal and external simultaneous cooling is achieved, and the difference is that in the prior art, cooling is conducted only through the internal cooling water pipes, so that cooling efficiency is poor, and after the lower mold and the upper mold are separated, cooling efficiency is high. The temperature of the non-cooled position is conducted to the surface, tightly attached to the safety helmet finished product, of the lower mold and the upper mold, the temperature rises again, at the moment, condensate water is formed on the surface of the safety helmet finished product when the safety helmet finished product makes contact with outside cold air, and follow-up injection molding is affected.

The utility model discloses an anti-sticking quick demoulding mechanism of an injection mould, and relates to the technical field of safety helmet production, the anti-sticking quick demoulding mechanism comprises a static mould base and a quick demoulding assembly, the quick demoulding assembly is arranged in the static mould base, and the quick demoulding assembly comprises an air cavity, a high-pressure air pump, an ejector pin bottom plate, an ejector rod, a demoulding ejector pin, an air blocking pipe and a spring. When the anti-sticking quick demolding mechanism for the injection mold is used, a positioning ring at the top of a movable mold base is used for being connected with an extrusion mold head, molten plastic enters a branch runner through a sprue and finally enters a corresponding double-station injection molding cavity, and the double-station injection molding cavity corresponds to forming male molds on the two sides of a static mold base; batch injection molding production of multiple safety helmets can be achieved at the same time, the operation efficiency is improved, in addition, the guide sleeve at one end of the movable mold base is in positioning fit with the guide column at one end of the static mold base, the mold closing stroke of the movable mold base and the static mold base is limited and guided, and product forming failure caused by mold cavity dislocation is prevented.

The utility model relates to the technical field of constructional engineering, and discloses a multifunctional safety helmet for constructional engineering, which comprises a safety helmet body, the bottom of the safety helmet body is fixedly connected with a chin strap, a helmet lining is arranged in the safety helmet body, the front end of the safety helmet body is fixedly connected with a helmet brim, the safety helmet body is provided with a sleeve, and the sleeve is sleeved on the helmet body. An electric fan is fixedly connected into the sleeve, a filter screen assembly is arranged in the sleeve, a containing frame is arranged at the rear end of the safety helmet body, a battery electrically connected with the electric fan is arranged in the containing frame, a mounting base is arranged on one side of the safety helmet body, a rotating shaft is rotationally connected to the mounting base, and a clamp is fixedly connected to one end of the rotating shaft. Compared with the prior art, the safety helmet has the advantages that air exchange can be carried out in the safety helmet, so that the head is prevented from being stuffy, meanwhile, the irradiation angle of the electric lamp can be conveniently adjusted, and the safety helmet is convenient to use.

The invention provides a power transformation maintenance management and control method based on an intelligent safety helmet, and belongs to the technical field of power transformation maintenance. Comprising the following steps: analyzing a maintenance operation work ticket, and obtaining maintenance items, operators and operation areas; a worker wears an intelligent safety helmet to complete local networking; matching and associating the intelligent safety helmet with an operator; an electronic fence is determined according to the operation area, and coordinate information of the electronic fence is synchronized to all the intelligent safety helmets in the group; in a working site, the intelligent safety helmet is used for safety management and control. The method can achieve the automatic analysis of the work ticket, carries out the electronic identity matching of an operator, and guarantees that the operator accords with the regulation of the work ticket. In the operation site, the intelligent safety helmets worn by the maintenance responsible person provide global safety control, and the intelligent safety helmets worn by other operators realize mutual auxiliary monitoring, so that an omnibearing control system for the operation site is constructed, the control coverage range is obviously improved, and the system is more comprehensive.