On-site management system using intelligent CCTV

Abstract

The present invention relates to a system that analyzes real-time video captured and transmitted by multiple CCTVs installed on or in special vehicles used at the site using artificial intelligence to determine the occurrence of special situations and enables accident prevention or accident response accordingly. The system is characterized by comprising: a fixed shooting unit comprising a plurality of CCTVs fixedly installed at the site to capture video and a communication module for transmitting the captured video; a mobile shooting unit comprising one or more CCTVs fixedly installed on a special vehicle used at the site to capture video and a communication module for transmitting the captured video; a sensor unit comprising a plurality of sensors fixedly installed at the site to collect surrounding environmental information and a communication module for transmitting the collected environmental information; and a management server that performs AI-based analysis on the received video and environmental information to determine the occurrence of learned or input situations and generates response signals according to the situation to enable accident prevention or accident response.

Description

Technology Field

[0001] The present invention relates to a system for managing on-site safety using intelligent CCTV, and more specifically, to a system that analyzes real-time video captured and transmitted by multiple CCTVs installed at or on special vehicles used at the site using artificial intelligence to determine the occurrence of special situations and enables accident prevention or accident response accordingly. Background Technology

[0003] Generally, worker safety should be the top priority at industrial and construction sites; however, in reality, work speed and shortening the construction period are prioritized over safety, resulting in numerous casualties caused by inadequate safety measures and negligence.

[0004] Therefore, efforts to create a safe working environment have continued in various aspects, and recently, even the Serious Accidents Punishment Act has been enacted and put into effect, but none of them have achieved the expected level of effectiveness.

[0005] Ultimately, it can be said that a more fundamental solution is needed, and in this regard, inventions such as the “Health and Safety Management System for Construction Site Workers” in Korean Registered Patent Publication No. 10-2306815 and the “Accident Prevention Device for Heavy Equipment” in Korean Registered Patent Publication No. 10-2248149 have been proposed and disclosed.

[0006] In other words, the “Health and Safety Management System for Construction Site Workers” in the aforementioned Korean Registered Patent Publication No. 10-2306815 proposes an invention regarding a system that can efficiently perform health and safety management for workers and, as a result, prevent the occurrence of industrial accidents in advance.

[0007] In addition, the “Accident Prevention Device for Heavy Equipment” in the aforementioned Korean Registered Patent Publication No. 10-2248149 proposes an invention regarding a device that marks a work line within a certain radius around heavy equipment and alerts a worker approaching the marked work line to prevent safety accidents.

[0008] However, while the aforementioned prior art inventions commonly present a configuration of an alarm device to prevent collision accidents between a worker and a special vehicle (heavy equipment) at the site, there is a limitation in that a method of merely sounding an alarm cannot effectively prevent the occurrence of such collision accidents.

[0009] Therefore, there is a need for a new invention that solves the aforementioned problems to effectively prevent collisions between workers and special vehicles or between special vehicles that frequently occur in the field, as well as to effectively prevent or respond to accidents in other situations. Prior art literature

[0011] Korean Patent Publication No. 10-2306815 (September 23, 2021) Korean Patent Publication No. 10-2248149 (April 28, 2021) The problem to be solved

[0012] The present invention addresses the significant need for prevention of safety accidents that frequently occur at industrial or construction sites, and

[0013] Prior inventions proposed for the same purpose present a configuration of an alarm device to prevent collision accidents between a worker and a special vehicle (heavy equipment); however, since a method of merely sounding an alarm cannot completely prevent the occurrence of collision accidents, the purpose of this invention is to present a solution to this problem.

[0014] In addition, another objective of the present invention is to enable effective accident prevention or response to situations other than the collision accidents described above.

[0015] In addition, another objective of the present invention is to enable clearer attendance management by conducting an AI-based analysis of the location and behavior of workers at the site. means of solving the problem

[0017] The present invention aims to realize the above-mentioned objectives,

[0018] A field management system using an intelligent CCTV is presented, characterized by comprising: a fixed shooting unit configured to include a plurality of CCTVs fixedly installed at the site to capture images and a communication module for transmitting the captured images; a mobile shooting unit configured to include one or more CCTVs fixedly installed on a special vehicle used at the site to capture images and a communication module for transmitting the captured images; a sensor unit configured to include a plurality of sensors fixedly installed at the site to collect surrounding environmental information and a communication module for transmitting the collected environmental information; and a management server that performs an artificial intelligence-based analysis of the received images and environmental information to determine the occurrence of learned or input situations and generates response signals according to the situation to enable accident prevention or accident response.

[0019] In addition, the present invention is characterized by further comprising: an RFID tag attached to each special vehicle used at the site and the personal equipment of a worker; a plurality of RFID readers that are fixedly installed at the site, recognize RFID tags located nearby to generate location information including RSSI, and transmit the generated location information together with unique identification information; and a communication unit that receives the location information and identification information transmitted by the RFID readers and transmits them to the management server.

[0020] In conjunction with this, the management server is characterized by being configured to perform an analysis of the received location information to generate location status information in which the locations of each special vehicle and worker at the site are displayed in real time, and to provide the generated location status information to a connected display device and to the administrator terminal where the request was made.

[0021] Additionally, the present invention is characterized by further comprising: a receiver fixedly installed on a special vehicle used in the field to receive a warning signal and a braking signal, which are corresponding signals transmitted by the management server; a speaker fixedly installed on the special vehicle to output a warning sound when the warning signal is received by the receiver; and an emergency braking device that automatically operates the brake of the special vehicle when the braking signal is received by the receiver. Effects of the invention

[0023] The field management system using intelligent CCTV according to the present invention is,

[0024] By conducting AI-based analysis of the recorded video and automatically activating the brakes of the special vehicle in situations where a collision between a worker and a special vehicle, or between special vehicles, is anticipated, it is possible to effectively prevent collision accidents.

[0025] Furthermore, the present invention enables effective accident prevention or response by performing AI-based behavioral analysis on captured images and conducting comparative analysis on collected environmental information to determine the occurrence of learned or input situations and generate corresponding response signals.

[0026] In addition, the present invention provides the effect of enabling clear attendance management by a manager who verifies the results by conducting an AI-based analysis of a worker's behavior observed in real time through video. Brief explanation of the drawing

[0028] FIG. 1 is a basic configuration diagram of a field management system using an intelligent CCTV according to the present invention. FIG. 2 is a detailed configuration diagram of a management server constituting the present invention. FIG. 3 is an explanatory diagram listing the functions of a management server constituting the present invention. FIG. 4 is a configuration diagram showing the process of a management server constituting the present invention performing an analysis of a worker's behavior using artificial intelligence. FIG. 5 is a configuration diagram showing the process of comparative analysis by a management server constituting the present invention. FIG. 6 is a configuration diagram showing an additional configuration of the present invention for verifying the location of a worker and a special vehicle. FIG. 7 is a configuration diagram showing an additional configuration of the present invention for preventing collisions between a worker and a special vehicle or between special vehicles. Specific details for implementing the invention

[0029] The present invention relates to a system for managing on-site safety using intelligent CCTV, and

[0030] The system is characterized by comprising: a fixed shooting unit (100) configured to include a plurality of CCTVs fixedly installed at the site to capture images and a communication module for transmitting the captured images; a mobile shooting unit (110) configured to include one or more CCTVs fixedly installed on a special vehicle used at the site to capture images and a communication module for transmitting the captured images; a sensor unit (120) configured to include a plurality of sensors fixedly installed at the site to collect surrounding environmental information and a communication module for transmitting the collected environmental information; and a management server (130) that performs an artificial intelligence-based analysis of the received images and environmental information to determine the occurrence of learned or input situations and generates a response signal according to the situation so that accident prevention or accident response can be carried out.

[0032] Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings.

[0033] First, the fixed shooting unit (100) is a plurality of CCTVs that are fixedly installed at a fixed location, such as a wall or pillar of a building, at an industrial or construction site to capture images of different specific ranges, and must be configured to include a communication module for transmitting the captured images.

[0034] That is, as illustrated in FIG. 1, real-time video captured by a plurality of CCTVs constituting the fixed shooting unit (100) can be rapidly transmitted to a management server (130) via known wired or wireless communication methods, and can be used as data for artificial intelligence-based analysis as soon as reception occurs at the management server (130).

[0035] At this time, the multiple CCTVs constituting the fixed shooting unit (100) must be installed in multiple locations in a number and arrangement that can prevent or minimize the occurrence of blind spots, taking into account the structure and scale of the site.

[0036] However, this is not necessarily the case, and in unavoidable situations due to the structure and scale of the site, the cameras may be installed in a number and layout that maximizes filming efficiency by prioritizing filming in areas where work is intensively carried out or in areas with high traffic of workers and special vehicles.

[0037] In other words, in situations where the site structure is complex or the scale is substantial, making it impossible to install CCTVs everywhere to eliminate blind spots, it is advisable to prioritize the installation of CCTVs in areas where work is intensively carried out or in areas with high traffic volume of workers and specialized vehicles.

[0038] In addition, the above-mentioned mobile shooting unit (110) is one or more CCTVs that are fixedly installed on a special vehicle used at an industrial or construction site to capture images, and must be configured to include a communication module for transmitting the captured images.

[0039] That is, as illustrated in FIG. 1, real-time video captured by one or more CCTVs constituting the mobile shooting unit (110) can be rapidly transmitted to a management server (130) using a known wireless communication method, and can be used as data for artificial intelligence-based analysis as soon as reception occurs at the management server (130).

[0040] At this time, the CCTV constituting the mobile shooting unit (110) is basically installed to film the rear of a special vehicle.

[0041] In addition, the CCTV constituting the mobile shooting unit (110) may be installed primarily to film the driver's seat of a special vehicle, and depending on the conditions, one or multiple units may be installed in each special vehicle to film the front in addition to the sides.

[0042] In addition, the sensor unit (120) is a plurality of sensors that are fixedly installed at an industrial site or construction site regardless of location to collect surrounding environmental information, and must be configured to include a communication module for transmitting the collected environmental information.

[0043] That is, as illustrated in FIG. 1, environmental information collected by a plurality of sensors constituting the sensor unit (120) can be rapidly transmitted to a management server (130) via a known wired or wireless communication method, and can be used as data for comparative analysis as soon as reception occurs at the management server (130).

[0044] At this time, the plurality of sensors constituting the sensor unit (120) are configured to include one or more of a temperature sensor, a temperature and humidity sensor, a smoke sensor, or a flame sensor, but may also be configured to include a gas sensor that detects a specific chemical substance in the gas.

[0045] Accordingly, the sensor unit (120) can collect different types of environmental information and transmit it to a management server (130) while installed in a fixed location such as a wall or pillar of a building at an industrial or construction site, or installed on a special vehicle, thereby allowing information such as the temperature, humidity, and air quality of the site to be verified, and the occurrence of situations such as heatwaves, extreme cold, fires, and gas leaks can be quickly verified by comparative analysis with standard values ​​for each situation.

[0046] Additionally, the present invention may be configured to further include a plurality of thermal imaging cameras for detecting heat from an industrial site, a construction site, and a worker working at the site, and the thermal images captured by each thermal imaging camera may be transmitted to a management server (130) and used to check the status of the site and the worker.

[0048] In addition, the above-mentioned management server (130) is a server device equipped for the purpose of site management and safety management at an industrial site, a construction site, or its vicinity, and is characterized in that it is equipped with the function of information analysis using artificial intelligence and is used on the premise that it has completed learning to a certain level or higher.

[0049] That is, as illustrated in FIG. 2, the management server (130) may be configured to include a database (131) in which various information is stored for the purpose of realizing the present invention, and an artificial intelligence analysis unit (132) capable of implementing artificial intelligence-based analysis by completing learning in a deep learning manner to a certain level or higher.

[0050] Accordingly, as illustrated in FIG. 3, the management server (130) must be able to identify and recognize the shape of a person (worker) and a special vehicle appearing in the image through deep learning using artificial intelligence, must be able to identify and recognize the shape of a safety helmet that the worker must wear at the site, and must be able to identify and recognize the shape of a known smartphone.

[0051] In addition, as shown in FIG. 3, the management server (130) must be able to determine a situation in which a collision occurs between a person (worker) and a special vehicle through deep learning using artificial intelligence, and must be able to determine a situation in which a collision occurs between special vehicles.

[0052] In addition, as illustrated in FIG. 3, the management server (130) must be able to determine the occurrence of accidents such as falls or fainting of workers through deep learning using artificial intelligence, and must be able to perform behavioral analysis targeting workers.

[0053] At this time, as illustrated in FIG. 4, the management server (130) must be able to perform a primary analysis of the worker's behavior using artificial intelligence to conduct behavior analysis targeting the worker, in one of the following states: a work state in which the worker is working, a rest state in which the worker is resting, or an abnormal state in which the worker is exhibiting abnormal behavior.

[0054] In addition, the worker's behavior, for which the first analysis has been completed, must be able to be secondarily analyzed into one of the following: a driving state in which the worker is driving a special vehicle, a transport state in which the worker is transporting goods, or other work states; or a smoking state in which the worker is smoking, a phone usage state in which the worker is using a smartphone, a sleeping state in which the worker is sleeping, or other rest states.

[0055] In this way, the management server (130) can analyze the worker's behavior in detail, and if the rest state continues for longer than a preset time, a response by a manager can be triggered, and if the abnormal state is triggered, a response by a manager can be triggered immediately.

[0056] That is, as illustrated in FIG. 2, the management server (130) may be configured to further include a signal generation unit (132) that generates a response signal according to the situation based on the results of the analysis by the artificial intelligence analysis unit.

[0057] At this time, the signal generation unit (132) can generate a corresponding response signal based on input work time information and, in the case where it is analyzed that the worker is taking a pre-set break for more than a certain amount of time excluding meal time or designated break time, so that a response by the manager occurs.

[0058] In addition, the signal generation unit (132) can immediately generate a corresponding response signal when the worker's condition is analyzed as abnormal, thereby enabling a response by the manager to occur.

[0059] In addition, the above-mentioned management server (130) can be used to prevent accidents by performing deep learning using artificial intelligence to identify and recognize the shapes of various types of objects used or transported at the site.

[0060] At this time, it is desirable that the situation recognition or behavior analysis by the management server (130) be formed with an accuracy of 90% or higher, and in a situation where the accuracy is lower than that, the use in actual practice may be restricted until the learning of the artificial intelligence is completed to a certain level or higher, but the accuracy value for actual use may be adjusted upward or downward as needed.

[0061] As a result, the management server (130) can perform an AI-based analysis on the real-time video transmitted and received by the fixed shooting unit (100) and the mobile shooting unit (110) to accurately identify and recognize people (workers) and special vehicles, and among them, can accurately identify and recognize the status of wearing a safety helmet for the workers, and can identify and recognize the actions currently being performed.

[0062] And the above management server (130) can accurately determine a situation in which a collision occurs between a person and a special vehicle or a collision occurs between special vehicles, and can accurately determine a situation in which an accident such as a fall or fainting occurs, and can carry out a response for on-site management purposes or safety management purposes according to each recognized or determined situation.

[0063] More specifically, the management server (130) can generate a signal for the purpose of notifying a violation of regulations when a worker not wearing a safety helmet is identified through video analysis, and simultaneously verify the location information of the worker confirmed not to be wearing a safety helmet and transmit the signal and location information to one or more display devices connected via wired or wireless connection and one or more designated manager terminals.

[0064] In addition, the management server (130) can generate a signal to notify of the occurrence of a vehicle accident when a collision between a person and a special vehicle or a collision between special vehicles is confirmed through video analysis, and simultaneously confirm location information of the accident site and transmit it to one or more display devices connected via wired or wireless connection and one or more designated manager terminals.

[0065] In addition, the management server (130) can generate a signal to notify of the occurrence of a human accident when the occurrence of an accident, such as a fall or fainting of a worker during work, is confirmed through video analysis, and simultaneously verify location information of the accident site and transmit it to one or more display devices connected via wired or wireless connection and one or more designated manager terminals.

[0066] In addition, the management server (130) can generate a signal for the purpose of notifying of work negligence when it is confirmed through video analysis that a worker is taking a break, such as using a smartphone or smoking for more than a preset amount of time, and simultaneously check the location information of the worker who is taking a break and transmit the signal and location information to one or more display devices connected via wired or wireless connection and one or more designated manager terminals.

[0067] Therefore, an administrator in the control room who checks the information and location information displayed on the display device, or an administrator at the site who checks the information and location information displayed on the administrator terminal, can respond according to the manual for each situation to resolve the situation that occurred at the site.

[0068] In addition, the management server (130) can check the temperature at various locations and the body temperature of individual workers through thermal images captured by multiple thermal imaging cameras installed at the site. In cases where the temperature at the site is found to be above a threshold or the body temperature is found to be above a threshold, the thermal image can be captured and displayed on a display device or a manager terminal along with a warning sound and location information.

[0069] Accordingly, a manager in the control room who checks the capture screen and location information displayed on the display device, or a manager at the site who checks the capture screen and location information displayed on the manager terminal, can take measures to lower the heat in the overheated sectors shown on the capture screen and take measures to prevent the occurrence of heat-related illnesses by identifying workers in an overheated state.

[0070] Of course, the above-mentioned management server (130) can make a judgment regarding situations other than the above-mentioned embodiment and take a corresponding response.

[0071] Additionally, as illustrated in FIG. 2, the management server (130) may be configured to further include a comparative analysis unit (134) that performs an analysis of the situation using a comparative analysis method of information.

[0072] That is, as illustrated in FIG. 5, the management server (130) must be able to identify conditions of extreme heat or cold, conditions of fire occurrence, and conditions of gas leakage through comparative analysis of reference numerical information that is pre-entered and stored in a database and environmental information collected by the sensor unit (120).

[0073] More specifically, the heatwave value constituting the above standard numerical information is set to 40℃, and when the temperature of the site collected by the sensor unit (120) reaches 40℃, the management server (130) can confirm the heatwave situation, and other situations can be confirmed in the same way, and a response for site management or safety management purposes can be carried out according to each confirmed situation.

[0074] Accordingly, one or more display devices connected to the management server (130) via wired or wireless connection and one or more designated manager terminals may display a heatwave warning, a severe cold warning, a fire warning, or a gas leak warning according to each confirmed situation, and a manager in the control room or a manager at the site who checks the displayed warning may take action according to the manual for each situation.

[0076] Additionally, as illustrated in FIG. 6, the present invention is characterized by further comprising an RFID tag (140) attached to each individual worker's personal equipment used at the site, a plurality of RFID readers (150) that recognize RFID tags (140) located in the vicinity while fixedly installed at the site to generate location information including RSSI and transmit the generated location information together with unique identification information, and a communication unit (160) that receives the location information and identification information transmitted by the RFID readers (150) and transmits them to the management server (130).

[0077] That is, the present invention allows RFID readers (150) to be installed in various places at the site for the purpose of verifying the location of all workers working at the site and verifying the level of congestion in each area of ​​the site, and enables RFID tags (140) to be attached one by one to the personal equipment of the workers.

[0078] Accordingly, the real-time location of all workers working at the site can be detected by an RFID reader (150), and the location information generated by the RFID reader (150) and transmitted to the communication unit (160) along with unique identification information can be transmitted to the management server (130) and used for the purpose of verifying location and checking congestion levels by zone.

[0079] That is, as illustrated in FIG. 2, the management server (130) may be configured to further include a location information analysis unit (135) that performs location verification of workers and verification of congestion levels by zone using identification information and location information transmitted by the communication unit (160).

[0080] At this time, the RFID tag (140) may have unique identification information entered into it, and worker registration using the unique identification information may be performed by an administrator so that worker identification can be performed for each of the location information that the management server (130) is checking in real time.

[0082] Additionally, as illustrated in FIG. 7, the present invention is characterized by further comprising a receiver (170) fixedly installed on a special vehicle used in the field to receive a warning signal and a braking signal, which are corresponding signals transmitted by the management server (130); a speaker (180) fixedly installed on the special vehicle to output a warning sound when the warning signal is received by the receiver (170); and an emergency braking device (190) that automatically operates the brake of the special vehicle when the braking signal is received by the receiver (170).

[0083] That is, as described above, the management server (130) must be able to determine a situation in which a collision occurs between a worker and a special vehicle through deep learning using artificial intelligence, and must be able to determine a situation in which a collision occurs between special vehicles.

[0084] In addition, the management server (130) must consider the current location of the worker and the special vehicle, the direction of travel of the worker and the direction of travel of the special vehicle, and additionally consider gaze information based on the direction of gaze of the worker and gaze information based on the direction of gaze of the special vehicle driver within a collectible range to predict the collision between the worker and the special vehicle and the collision between the special vehicles.

[0085] Accordingly, the management server (130) can consider one or more of the distance between the worker and the special vehicle, the distance between special vehicles, the movement speed of the worker, or the movement speed of the special vehicle for each situation, and in a situation where a collision between the worker and the special vehicle or between special vehicles is expected within a certain time range, generate a warning signal and transmit it to the receiver (170) so that a warning sound is output by the speaker (180).

[0086] Next, the management server (130) can generate an emergency braking signal in the same manner when a collision between a worker and a special vehicle or between special vehicles is imminent, and transmit it to the receiver (170) so that the brake operation by the emergency braking device (190) occurs.

[0087] At this time, the management server (130) may be configured to generate a warning signal when a collision is expected within a range of 5 to 10 seconds, and may be configured to generate a braking signal when a collision is expected within 5 seconds, but is not necessarily so, and each time may be changed.

[0088] Meanwhile, since the above-mentioned emergency braking device (190) utilizes some components of the currently commercialized Autonomous Emergency Braking (AEB) device, a detailed description thereof will be omitted.

[0090] The embodiments described above are provided as examples to ensure that the technical concept of the present invention is sufficiently conveyed to those skilled in the art to which the present invention belongs, and the present invention is not limited to the embodiments described above and may be embodied in other forms.

[0091] In addition, the same reference numbers throughout the specification represent the same components. Explanation of the symbols

[0093] 100 : Fixed shooting unit 110: Mobile camera unit 120 : Sensor section 130 : Management Server → 131 : Database → 132 : Artificial Intelligence Analysis Department → 133 : Signal generation unit → 134 : Comparative Analysis Section → 135 : Location Information Analysis Unit 140 : RFID tag 150 : RFID reader 160 : Communications Department 170 : Receiver 180 : Speaker 190: Emergency braking system

Claims

Claim 1 A fixed shooting unit (100) configured to include a plurality of CCTVs fixedly installed at the site to capture video and a communication module for transmitting the captured video; a mobile shooting unit (110) configured to include one or more CCTVs fixedly installed on a special vehicle used at the site to capture video of the outside and the driver's seat and a communication module for transmitting the captured video; a sensor unit (120) configured to include a plurality of sensors fixedly installed at the site to collect surrounding environmental information and a communication module for transmitting the collected environmental information; a management server (130) that performs an AI-based analysis of the received video and environmental information to determine the occurrence of a learned or input situation and generates a response signal according to the situation so that accident prevention or accident response can be performed; a receiving unit (170) fixedly installed on a special vehicle used at the site to receive a warning signal and a braking signal, which are response signals transmitted by the management server (130); and a speaker (180) fixedly installed on a special vehicle to output a warning sound when a warning signal is received by the receiving unit (170). and, an emergency braking device (190) that automatically operates the brakes of a special vehicle when a braking signal is received by the receiver (170);The system is characterized by being configured to include the following: the management server (130) is configured to be able to identify and recognize the shape of a person (worker) and a special vehicle appearing in an image through deep learning using artificial intelligence, to identify and recognize the shape of a safety helmet that the worker must wear at the site, to identify and recognize the shape of a smartphone, to determine a situation where a collision has occurred between a person (worker) and a special vehicle, to determine a situation where a collision has occurred between special vehicles, to determine the occurrence of an accident such as a worker falling or fainting, and to perform behavioral analysis targeting the worker. When performing behavioral analysis targeting the worker, the worker's behavior is primarily analyzed into one of the following states: a working state where the worker is working, a resting state where the worker is resting, or an abnormal state where the worker is exhibiting abnormal behavior; the worker's behavior after the primary analysis is completed is secondarily analyzed into one of the following states: a driving state where the worker is driving a special vehicle, a transport state where the worker is transporting goods, or other other working states, or a smoking state where the worker is smoking, or the worker A field management system using an intelligent CCTV, characterized by being configured to perform a secondary analysis based on one of the following states: a smartphone in use, a sleep state in which a worker is sleeping, or other rest states; considering the current location of the worker and the special vehicle, the worker's direction of travel, and the special vehicle's direction of travel, and additionally considering gaze information based on the worker's gaze direction and gaze information based on the special vehicle driver's gaze direction within a collectible range to predict collisions between the worker and the special vehicle and between special vehicles; and being configured to generate and transmit a warning signal when a collision between the worker and the special vehicle or between special vehicles is expected within a certain time range, and then generate and transmit a braking signal when a collision is expected again. Claim 2 delete Claim 3 delete Claim 4 A field management system using an intelligent CCTV according to claim 1, further comprising: an RFID tag (140) attached to each special vehicle used at the site and the personal equipment of a worker; a plurality of RFID readers (150) that recognize RFID tags (140) located nearby while fixedly installed at the site to generate location information including RSSI and transmit the generated location information together with unique identification information; and a communication unit (160) that receives the location information and identification information transmitted by the RFID readers (150) and transmits them to the management server (130); wherein the management server (130) is configured to perform an analysis of the received location information to generate location status information in which the locations of each special vehicle and worker at the site are displayed in real time, and to provide the generated location status information to a connected display device and to a manager terminal where a request has occurred. Claim 5 delete Claim 6 delete

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