KR20180125658A - Building Integrated Management System and Method Based on Digital SOP and Prediction - Google Patents

Abstract

The present invention relates to an integrated operation system for a building based on a digital SOP and estimation and method for the same. Specifically, the integrated operation system for a building based on the digital SOP and estimation comprises: an IoT device unit (100) measuring environment information (110-1) including inner temperature of a building (10) and facility information (110-2) and including multiple IoT sensors (110) operating based on IoT and multiple IoT operators (120); and an artificial intelligence type central processing unit (200) comprising an IoT information collection unit (210), a digital SOP managing unit (220), a situation corresponding unit (230), and an IoT device control unit (240) operating the IoT sensor (110) and the IoT operator (120). According to an embodiment of the present invention, the integrated operation system for a building based on the digital SOP and the estimation and method for the same can maintain efficiency, immediacy, and accuracy of correspondence in an abnormal situation.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a digital SOP and a prediction based building integrated operating system,

The present invention relates to a digital SOP and prediction-based building integrated operating system and method. More specifically, it combines the information in the Standard Operation Procedure (SOP) for all emergency situations, including disaster situations and disasters, into a building management system that responds to emergencies, enabling quick and accurate initial response. It is also possible to block human errors that may arise in an emergency situation. By applying big data and machine learning methodology, it is possible to integrate individual building management systems to judge / cope with them. The present invention relates to an advanced digital SOP and prediction-based building integrated operating system and method capable of minimizing the spread and damage of an emergency situation in preparation for the recent tendency of building construction to be large / large.

Conventional building management system adopting system integration concept introduces integration concept in some passive operation range such as integrated layout of control screen through image matrix. However, in a process of directly grasping the situation or facility, System integration has not been applied.

FIG. 1 illustrates the problems of the conventional system integration and smart SI operating method and the difference between the digital SOP and the prediction-based operating system.

Referring to FIG. 1, a conventional building operating system includes an information and communication technologies system including a data network, a building automation system including an air conditioner and an elevator, an energy system including power generation and power control, , And a safety system that includes disaster / disaster facilities and fire fighting equipment, each separate system required for the operation of the building requires a separate professional operating personnel.

In addition, system integration has been performed to the extent that the integrated monitoring system that integrates the control screen using the image matrix in the system integration (SI) operating system is applied, but it is not possible to grasp the complex situation or cope with it, Causing the problem to be widened in an ineffective response in essential emergency situations.

In particular, manuals to cope with emergencies are generally produced and distributed in the form of documents. In most cases, initial response is very important for various incidents and accident situations, as well as natural disasters / disasters such as fire and flood . However, even in the case of professional operation, there is a practical limitation in recognizing correct correspondence information from the manual of the document format in a short time and performing accurate execution.

In addition, it is impossible to actively reduce the damage or prevent the accident, even if it is a well-trained professional manpower in an emergency situation because it is forced to respond only after the emergency situation.

Most of the newly built buildings are becoming bigger and bigger. In the event of a fire in a skyscraper, there are several incidents that can only be observed in the fire situation due to the limitation of the fire range of the expensive ladder and refraction ladder car currently operated by the fire department.

Therefore, by combining the information of the Standard Operation Procedure (SOP) for all emergency situations, including disaster situations and disaster situations, into a building management system that addresses emergency situations, , It is required to develop an advanced type digital SOP and a prediction based building integrated operating system and method that can prevent human errors that may arise in an urgent situation.

In addition, by applying big data and machine learning methodology, it is possible to integrate and judge / cope with individual building management systems. By providing a situation change prediction function when an emergency occurs, A digital SOP and predictive-based building integrated operating system and method are needed to minimize the spread of the situation and damage.

Korean Patent No. 10-1467063

SUMMARY OF THE INVENTION The present invention has been made in order to solve the above problems and it is an object of the present invention to provide an information processing apparatus and a method thereof, The steps from the generation of the situation to the confirmation-occurrence-prediction-optimum response-correspondence procedure are performed through quantitative analysis and prediction in a short period of time The state of the building 10 can be collected in the form of big data information by applying IoT technology to the operating facility 11 and the machine learning can be performed in a complex situation And to provide a digital SOP and predictive-based building integrated operating system and method capable of identifying and responding to the problem.

In addition, by using the digital twin building 400-1 as a cyber building which simulates the building 10, it is possible to predict the situation occurring in the building 10 and to learn the corresponding response to the situation, And to provide a digital SOP and a predictive-based integrated management system and method capable of minimizing the golden time wastage in an emergency by making it possible to proactively respond to abnormal situations.

It is to be understood that both the foregoing general description and the following detailed description of the present invention are exemplary and explanatory and are not intended to limit the invention to the precise form disclosed. It can be understood.

The first object of the present invention is to provide an information processing system and a method of operating the building including the environment information 110-1 including the temperature in the building 10 and the operation of the building 10 including the information communication equipment, A plurality of IoT sensors 110 operating on the IoT basis and measuring the facility information 110-2 including the operational state of the operating facility 11 for operating the facility 11, -1) and comprising a plurality of IoT actuators (120) operating on an IoT basis; And information on the current status 210-0 of the building 10 by receiving the environment information 110-1, the facility information 110-2 and the operation information 120-1, An IoT information collecting unit 210 for generating the situation big data 210-1; an abnormal situation 231-1 including digital information and a disaster situation, a disaster situation and an accident situation occurring in the building 10; A digital SOP management unit 220 for generating a disaster response and building operation standard procedure (SOP) 220-2 including a normal situation 232-2 corresponding response procedure 220-1, The current status 210-0 is determined to be a normal status 231-2 excluding the abnormal status 231-1 or the abnormal status 231-1 based on the current status big data 210-1. A determination algorithm 231 for determining whether or not the current status 210-0 is the current status information 231-0 and generating the current status information 231-0 if the current status 210-0 is determined to be the abnormal status 231-1 At least one or more than one (1) or more (two or more) of the SOPs 220-2 may be stored in the SOP 220-2 so as to maximize the countermeasure effect 230-1 including the loss of life, the loss of the operation facility 11 and the diffusion prevention effect of the abnormal situation 231-1. A situation responding unit 230 having an SOP selection algorithm 232 that selects the corresponding procedure 220-1 to configure an optimum response procedure 232-1 and calculates the corresponding effect 230-1, An artificial intelligent central processing unit (200) configured by an IoT device controller (240) for operating the IoT sensor (110) and the IoT actuator (120) based on IoT according to an optimum response procedure (232-1); And a digital SOP and prediction-based building integrated operating system.

Based on the design information 12 of the building 10 including the structure information of the building 10 and the installation information of the operating facility 11 and the current situation big data 210-1, A simulation module 410 capable of predictively calculating prediction information 410-1 including the environment information 110-1, future facility information 110-2 and future operation information 120-1, And a simulation input module 420 for receiving simulation condition information 420-1 including a simulation initial value necessary for the prediction calculation and a digital twin building 400-1 for simulating the building 10 A digital twin building operating unit 400 for generating the digital twin building; And a display unit 310. The display unit 310 displays the current situation information 231-0, the optimal correspondence procedure 232-1 and the digital twin building 400-1 . ≪ / RTI >

And, If the current state 210-0 is determined to be the normal state 231-2, the manager 1 inputs the virtual simulation condition information 420-2,

Based on the virtual prediction information 410-2 predicted and calculated by the simulation module 410 using the virtual simulation condition information 420-2, the digital SOP management unit 220 performs the corresponding procedure 220 -1) by modifying the SOP (220) by generating, deleting, or revising the SOP (220).

If it is determined that the current status 210-0 is the abnormal status 231-1, the status response unit 230 may receive the actual status simulation condition information 420 based on the current status big data 210 -3) through the simulation input module 420 and the simulation module 410 predicts the actual situation prediction information 410-3 based on the actual situation simulation condition information 420-3 And the situation counterpart 230 calculates the loss of life of the operating facility 11 and the diffusion prevention effect of the abnormal situation 231-1 based on the actual situation prediction information 410-3 (220-2) in the SOP (220-2) so as to maximize the actual situation response effect (230-2) by calculating the actual situation response effect (230-2) So as to configure an optimum response procedure 232-1.

When the current state 210-0 is changed from the abnormal state 231-1 to the normal state 231-2, the digital twin building operation unit 400 may further include an input unit 320, The manager 1 modifies the simulation module 410 on the basis of the corresponding effect 230-1 and the manager 1 receives the determination algorithm 231 and the SOP selection algorithm 232 through the input unit 320. [ Can be corrected.

A second object of the present invention is to provide a system and a method for controlling a plurality of IoT sensors 110 operating on IoT based on environmental information 110-1 including a temperature in a building 10, (110-2) including an operating state of an operating facility (11) for operating the building (10) including a safety facility, a plurality of IoT actuators (120) generating operation information (120-1); The IoT information collecting unit 210 receives the environment information 110-1, the facility information 110-2 and the operation information 120-1 to determine the current state 210-0 Generating current situation big data 210-1 including information on the current situation big data 210-1; The digital SOP management unit 220 determines whether the digital SOP management unit 220 is digital information and which corresponds to the abnormal situation 231-1 and the normal situation 231-2 including the disaster situation and the accident situation occurring in the building 10 Generating a disaster response and building operating standard procedure (SOP) 220-2 including a procedure 220-1; The judgment algorithm 231 determines whether the current situation 210-0 is a normal situation excluding the abnormal situation 231-1 or the abnormal situation 231-1 based on the current situation big data 210-1, (220-3) and generating current situation information (231-0); If the current state 210-0 is determined to be the abnormal state 231-1, the SOP selection algorithm 232 determines whether the loss of life of the operating facility 11 and the loss of the abnormal state 231-1 At least one corresponding procedure 220-1 is selected in the SOP 220-2 so as to maximize the corresponding effect 232-2 including the diffusion prevention effect so as to configure the optimum correspondence procedure 232-1 ; The IoT controller 240 operates the IoT sensor 110 and the IoT actuator 120 based on the IoT according to the optimum response procedure 232-1, And a corresponding effect (230-1) of the digital SOP and prediction based building integrated operation system.

The simulation module 410 provided in the digital twin building management unit 400 may be configured to store the design information 12 of the building 10 including the structure information of the building 10 and the installation information of the operating facility 11, Based on the current situation big data 210-1, prediction information including future environment information 110-1, future facility information 110-2 and future operation information 120-1, (410-1); Receiving a simulation condition information 420-1 including a simulation initial value necessary for the prediction calculation by a simulation input module 420 provided in the digital twin building operation unit 400; The digital twin building operation unit 400 generates a digital twin building 400-1 that simulates the building 10 and the display unit 310 displays the current situation information 231-0 and the optimal correspondence (232-1) and displaying the digital twin building (400-1).

If the current state 210-0 is determined to be the normal state 231-1, the manager 1 inputs virtual simulation condition information 420-2.

The simulation module 410 predictively calculates virtual prediction information 410-2 using the virtual simulation condition information 420-2; The digital SOP management unit 220 modifies the SOP 220 by creating, deleting, or revising the corresponding procedure 220-1 based on the virtual prediction information 420-2 and the virtual prediction information 420-2. And further comprising

If it is determined that the current status 210-0 is the abnormal status 231-1, the situation responding unit 230 may obtain the actual situation simulation condition information 420 based on the current status big data 210 -3) through the simulation input module 420; The simulation module 410 predicts and calculates the actual situation prediction information 410-3 based on the actual condition simulation condition information 420-3 and the actual situation prediction information 410-3, Based on the prediction information 410-3, calculates the actual situation response effect 230-2 including loss of life, loss of the operating facility 11, and diffusion preventing effect of the abnormal situation 231-1 step; Selecting at least one corresponding procedure 220-1 in the SOP 220-2 so as to maximize the actual situation response effect 230-2 to configure an optimal correspondence procedure 232-1; And further comprising:

If the current state 210-0 is changed from the abnormal state 231-1 to the normal state 220-3, the state adaptation unit 230 calculates the corresponding effect 232-1 ; The digital twin building operating unit 400 modifies the simulation module 410 on the basis of the corresponding effect 232-2 and the manager 1 transmits the determination algorithm 231) and the SOP selection algorithm (232).

According to an embodiment of the present invention, all of the corresponding procedures corresponding to the abnormal situation 231-1 generated in the building 10 and the abnormal situation 231-1 generated in the building 10 are digitally informed, Since the steps from occurrence to confirmation - occurrence - prediction - optimum response - response procedure are performed through quantitative analysis and prediction within a short time, it is possible to maintain the efficiency, promptness, and accuracy of response to an abnormal situation, The IOT technology is applied to the operating facility 11 to collect the state of the building 10 in the form of big data information and to machine-learn the complex information situation.

In addition, by using the digital twin building 400-1 as a cyber building which simulates the building 10, it is possible to predict the situation occurring in the building 10 and to learn the corresponding response to the situation, It is possible to minimize the golden time waste in an emergency situation by making it possible to proactively respond to an abnormal situation.

It should be understood, however, that the effects obtained by the present invention are not limited to the above-mentioned effects, and other effects not mentioned may be clearly understood by those skilled in the art to which the present invention belongs It will be possible.

Figure 1. Problems of conventional system integration and smart SI operating method and differentiation of digital SOP and prediction-based operating system.
2a. FIG. 2 is a flowchart illustrating an operation method of a digital SOP and prediction-based building integrated operating system and method according to an exemplary embodiment of the present invention. FIG.
2b. FIG. 1 is a block diagram illustrating a digital SOP and a predictive-based building integrated operating system and method according to an embodiment of the present invention. FIG.
FIG. 3 is a block diagram illustrating an operation of a digital twin building applied to a digital SOP and prediction-based building integrated operating system and method according to an embodiment of the present invention.
4 is a block diagram of generating and optimizing a digital SOP applied to a digital SOP and prediction-based building integrated operating system and method according to an embodiment of the present invention.
5 is a block diagram of a prediction calculation method applied to a digital SOP and prediction-based building integrated operating system and method according to an embodiment of the present invention.
FIG. 6 is a block diagram of optimization of a prediction calculation simulation module applied to a digital SOP and prediction-based building integrated operating system and method according to an embodiment of the present invention.
Figure 7. Operation flowchart of a digital SOP and prediction based building integrated operating system and method in accordance with an embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. However, the detailed description of known functions and configurations incorporated herein will be omitted when it may unnecessarily obscure the subject matter of the present invention.

The same reference numerals are used for portions having similar functions and functions throughout the drawings. Throughout the specification, when a part is connected to another part, it includes not only a case where it is directly connected but also a case where the other part is indirectly connected with another part in between. In addition, the inclusion of an element does not exclude other elements, but may include other elements, unless specifically stated otherwise.

Hereinafter, configurations and functions of a digital SOP and prediction-based building integrated operating system and method according to an embodiment of the present invention will be described.

As described above, referring to FIG. 1, the conventional system integration and smart SI operation methods are classified into various types of monitoring and control systems, which are inefficient and ineffective, and the effect of countermeasures is low. It can be confirmed that it is impossible to respond.

In addition, since it is a response method after occurrence of various emergency situations, there is a disadvantage that it is possible to minimize the damage and prevent the spread of an emergency situation.

The present invention digitally informs disaster response and building operation standard procedures (SOPs 220-2, SOPs) and merges them into a building integrated operating system, so that the integrated building management system itself can respond to emergency situations 220-1) and employing a predictive based / predictive based platform, it is possible to propose a digital SOP and a predictive based building integrated operating system that can minimize the spread of the occurrence.

Further, the present invention can solve the problem of being overly technically dependent on a specific manufacturer by applying an open protocol.

FIG. 2A illustrates an operation flow diagram illustrating an operation method of a digital SOP and a predictive-based building integrated operating system and method according to an embodiment of the present invention. FIG. 2B illustrates a digital SOP and a prediction SOP according to an exemplary embodiment of the present invention. A block diagram illustrating a method of operating a prediction based building integrated operating system and method is shown.

Referring to FIG. 2A, a digital SOP and prediction-based building integrated operating system according to an embodiment of the present invention includes a digital twin building 400-B having a digital information SOP 220-2 and a simulation module 410, 1), analyzing the current situation information big data 210-1 of the big data format from the operating facility 11 utilizing the developed IoT base by the machine learning method, and integrating the emergency situation Judgment / integration control is possible, and it is possible to respond promptly and effectively while minimizing human error.

The operating facility 11 includes environment information 110-1 that includes the temperature in the building 10 and information about the environment 10-1 for operating the building 10 including information communication equipment, automation equipment, energy equipment, security equipment, All facilities may be included.

The digital twin building 400-1 having the simulation module 410 capable of simulating the physical operation phenomenon of the individual operating equipment 11 and the connection principle between the operating equipment 11 can be simulated The abnormal situation 231-1 generated in the building 10 is simulated and reproduced to make a comprehensive judgment on the abnormal situation 231-1 and comprehensive control of the operating facility 11. [

In addition, the digital twin building 400-1 makes it possible to predict the abnormal situation 231-1 that has occurred by configuring the physical phenomenon in the actual building 10 as computable information digital information, It is possible to predict the diffusion state of the abnormal state 231-1 and make it possible to proactively respond to the abnormal state based on the diffusion state prediction.

That is, the digital SOP and prediction-based building integrated operating system and method according to an embodiment of the present invention can be applied to an abnormal situation 231-1 occurring in a building 10 to which an integrated operating system is applied, The steps from the occurrence of the situation to the confirmation-occurrence-prediction-optimal response-response procedure are quantitatively analyzed and predicted in a short period of time by digitalizing all the corresponding procedures corresponding to the abnormal situation 231-1 , It is possible to provide all of the efficiency, promptness, and accuracy of response to an abnormal situation.

Referring to FIG. 2, a digital SOP and prediction based building integrated operating system and method according to an embodiment of the present invention includes an IoT device 100, an artificial intelligent central processing unit 200, and an administrator monitoring unit 300 As shown in FIG.

The IoT device unit 100 includes an IoT sensor 110 and an IoT actuator 120. The IoT sensor 110 generates environment information 110-1 and facility information 110-2, Generates operational information 120-1.

The environment information 110-1 relates to the living and office environment of the building 10 and may include information such as temperature / humidity / dust / illuminance, and may be information on human activities, such as a motion sensor / Measured measurements may be included.

In addition, it may include natural environment information inside and outside the building 10. A seismometer for sensing vibration due to an earthquake and an anemometer installed outside the building 10, or the degree of shaking of the upper part of the building due to strong winds.

The facility information 110-2 measures the operating state of the operating facility 11 in the building 10. The operating facility may be classified into an information communication facility, an automation facility, an energy facility, a security facility, and a safety facility.

Information and communication facilities can include data networks, Internet lines, mobile and IOT-based office environments.

Building automation can include control of power and lighting conditions and air conditioning control, especially elevator operating conditions.

In the energy system, energy consumption distribution in the building 10, renewable energy, analog sensors, and centralized control may be included. In the security system, internal and external personnel may include access information and monitoring information using CCTV.

Also, in the safety system, disaster / safety-related sensors and fire-fighting facilities, in particular, a publicity broadcasting system for spreading various information, and the like can be included.

The facility information 110-2 includes the operating state of the operating facility 11. In a disaster / disaster situation such as a fire, it is necessary to precisely grasp the operation enable / disable state of the facility so that accurate and effective response is possible. Also, by understanding the flow and distribution of the remaining attraction forces in the building 10, it becomes possible to minimize the loss of life when the abnormal situation 231-1 occurs.

In addition, the operation information 120-1 may include operation instructions or operation state information applied to the operation equipment 11. [

The environment information 110-1, the facility information 110-2, and the operation information 120-1 are digital information of a very large volume, and since the characteristics of the information and the generation environment are different from each other, high. Therefore, when these pieces of information are collected, they can be processed and analyzed as digital information in the form of Big Data.

That is, the environment information 110-1, the facility information 110-2, and the operation information 120-1 generated in the IoT device unit 100 are measured at the inside and outside of the building 10, Includes the information required for the correspondence between the situation 231-2 and the abnormal situation 231-2, and thus can be regarded as information obtained by digitizing the building 10 itself.

The artificial intelligent central processing unit 200 collects and analyzes the environment information 110-1, the facility information 110-2 and the operation information 120-1 measured by the IoT device unit 100 and corresponds thereto.

The IOT information collecting unit 210, the digital SOP managing unit 220, the situation responding unit 23, and the IoT device controlling unit 240.

The IoT information collecting unit 210 processes and arranges the information generated and transmitted by the IoT device unit 100 into a big data form and generates current situation big data 210-1. The environmental information 110-1, the equipment information 110-2, and the operation information 120-1, which are non-standardization data and a large amount of information, are measured at the time of measurement or the physical location and association in the building 10 To generate the current situation big data 210-1.

Therefore, since the current situation big data 210-1 includes all the information about the current situation 210-0 of the building 10, the current situation big data 210-1 can be analyzed so that the building 10 normally operates It is possible to judge whether it is possible as a normal situation 231-2 or an abnormal situation 231-1 in which a disaster, a disaster, or an accident situation has occurred.

The digital SOP management unit 220 generates and modifies the digital SOP 220-2.

The digital SOP 220-2 is digital information and corresponds to the abnormal situation 231-1 including the disaster situation and the accident situation occurring in the building 10 as well as the response corresponding to the normal situation 232-2 And a procedure 220-1. The digital SOP 220-2 may include the same function or content as a documented document in general, but since the contents are digitized, it is possible to minimize the physical performances of the administrator's search or execution of the retrieved contents.

For example, if the electric power of the breaker 3 on the second floor is cut off and the last passenger of the elevator 1 gets off, the operation goes down to the first floor, the operation is stopped, the fourth valve of the fire water system is shut off, The optimum response procedure 232-1 in which the unit response procedure 220-1 of setting the pressure of the 6th floor A fire hydrant to 6 & A general document manual is used. In the conventional system integration method or the integrated operation method of a building, the corresponding procedure 220-1 is searched for when an abnormal situation 231-1 occurs, and the system is organized into a series of procedures It can take a lot of time.

In particular, it is necessary to make a comprehensive and quantitative judgment in the step of not only the manager's manual search but also the abnormal situation 231-1 for manual search. However, it is almost impossible for an administrator of a limited workforce to analyze the current situation big data 210-1 in the form of big data to establish an accurate optimum response procedure 232-1.

Also, when the optimum response procedure 232-1 is established, it is necessary for the individual system personnel to perform the actual physical operation in order to perform each response procedure 220-1.

On the other hand, in the digital SOP and prediction based building integrated operating system and method according to the present invention, since the SOP 220-2 is digitized and merged into the building integrated operating system, the building integrated operating system itself generates the on- -1), and the corresponding procedure 220-1 may be searched to derive an optimum response procedure 232-1.

In addition, by recognizing the contents of the procedure listed in the response procedure 220-1, immediate execution is possible.

In other words, in order for the manager to directly execute the procedure of "stopping the operation after descending to the first floor after the last passenger of the elevator 1 gets off", it is necessary to monitor the on-site CCTV. However, in this case, the manager must concentrate his / her cognitive ability to perform only one response procedure 220-1, and if the other response procedure 220-1 is performed at the same time, an unexpected human error ). ≪ / RTI >

On the other hand, in the digital SOP and prediction based building integrated operating system according to the present invention, since the corresponding procedure 220-1 exists in the system as digital information, the corresponding procedure 220-1 is automatically , And in particular, the procedure in which the time-consuming one-year conditions such as "the first passenger of elevator 1 gets off and goes down to the first floor and stops operation" must be fulfilled in parallel with other procedures can do.

The situation response unit 230 may include the judgment algorithm 231 and the SOP selection algorithm 232 and may generate the corresponding effect 230-1.

The judgment algorithm 231 judges the current situation 210-0 of the building 10 based on the present situation big data 210-1. Since the current situation big data 210-1 includes all of the environment information 110-1, the facility information 110-2 and the operation information 120-1 generated in the IoT device unit 100, When analyzing the situation big data 210-1, all the information generated in the building 10 can be analyzed comprehensively.

The current situation information 231-0 generated in the judgment algorithm 231 is information indicating whether the current situation 210-0 of the building 10 corresponds to any situation during the abnormal situation 231-1 or the normal situation 231-2 And information on whether or not the "

The current state 210-0 is determined to be the abnormal state 231-1 in the judgment algorithm 231 and the SOP selection algorithm 232 determines the corresponding procedure 220-1 corresponding to the current situation big data 210-1 ) To generate an optimum response procedure 232-1. At this time, the situation counter 230 generates the corresponding effect 230-1 including the loss of life, the loss of the operation equipment 11, and the diffusion prevention effect of the abnormal situation 231-1, 232 extracts a corresponding procedure 220-1 that can maximize the corresponding effect 230-1.

The IoT device control unit 240 recognizes the contents of the generated optimum correspondence procedure 232-1 and generates command information for each operating facility 11 described in the content of the optimum correspondence procedure 232-1, 100 to perform the contents of the optimum response procedure 232-1 immediately.

The display unit 310 provided in the manager monitoring unit 300 displays the current situation information 231-0 of the building 10 determined by the judgment algorithm 231 and the optimum correspondence procedure 232-1, Check the occurrence of the situation and the response procedure.

The logic of the decision algorithm 231 and the SOP selection algorithm 232 can be modified or added through the input unit 320. [

2A and 2B, a digital SOP and a prediction-based building integrated operating system according to an embodiment of the present invention can be implemented by applying IoT technology to an operating facility 11, By collecting data in the form of data information and learning by machine, complex situation can be grasped and coped.

In addition, the internal procedures for responding to occurrences are stored in the form of digital data, enabling immediate execution and efficient execution.

FIG. 3 is a block diagram illustrating an operation of a digital twin building applied to a digital SOP and prediction-based building integrated operating system and method according to an embodiment of the present invention.

Referring to FIG. 3, it can be seen that the digital twin building operating unit 400 may include a simulation module 410 and a simulation input module 420.

The simulation module 410 analyzes the design information 12 of the building 10 including the structure information of the building 10 and the installation information of the operating facility 11 and the current situation big data 210-1, Prediction information 410-1 including environment information 110-1, facility information 110-2, and operation information 120-1 can be predictively calculated. At this time, by operating the situation counterpart 230, it is possible to reproduce the optimum response procedure generation according to the simulation initial value in the same manner as in the actual situation.

Also, the simulation input module 420 receives the simulation condition information 420-1 including the simulation initial values necessary for the prediction calculation.

At this time, the prediction information 410-1 may be divided into the virtual prediction information 410-2 and the actual situation prediction information 410-3.

The virtual prediction information 410-2 receives information of the virtual simulation condition information 420-2 and provides information necessary for optimizing the SOP 220-2 in the digital SOP management unit 220 as predicted and inputted A).

That is, the predicted virtual prediction information 410-2 based on the already generated SOP 220-2 and using the arbitrary virtual simulation condition information 420-2 as an input condition is stored in the already generated SOP 220 -2), the problem of the SOP 220-2 according to the virtual simulation condition information 420-2 can be grasped.

It is also possible to verify whether the judgment algorithm 231, the SOP selection algorithm 232 and the corresponding effect 230-1 are appropriate. At this time, the determination algorithm 231 and the SOP selection algorithm 232 are modified by the manager 1 through the input unit 320 and the virtual prediction information 410-2 based on the same virtual simulation condition information 420-2 The appropriateness of the algorithms 231 and 232 and the SOP 220-2 can be evaluated.

FIG. 4 is a block diagram illustrating a digital SOP generation and optimization operation applied to a digital SOP and prediction-based building integrated operating system and method according to an embodiment of the present invention.

The SOP (220-2) is a standard operation procedure for a building that responds to a disaster / accident / incident / accident. It identifies the causes, characteristics, and influences of specific situations accurately and quantitatively, .

At the stage of establishing the initial SOP, it is possible to refer to the existing SOP, or to generate the expected specific causes, characteristics, and influences based on the theoretical principles or data. However, the SOP 220-2 thus established may not be suitable for the actually constructed building 10.

Particularly, since the recent construction of buildings that are becoming larger and larger is not possible even with normal control without the help of a mechanical logic system such as a computer, it is possible to use the established theory for a specific phenomenon, It is highly likely that the SOP 220-2 generated with reference to it can not show an appropriate response procedure 220-1 in an actual situation.

In the digital SOP and prediction-based building integrated operating system according to an embodiment of the present invention, a digital twin building including a simulation 410 is operated.

The simulation module 410 is based on the function of the building 10, that is, the current situation big data 210 obtained by converting the information imported from the IoT device unit 100 including the IoT sensor 110 and the IoT actuator into big data . Also, as described above, the current situation big data 210 includes information of the current situation 210-0.

By including a specific calculation module that uses the structure of the building 10, the operating facility 11 operated in the building 10, and the present situation big data 210 and mathematically expresses the physical relation between these elements, A "cyberbuilding" capable of reproducing the physical phenomenon of the building 10 can be operated. The digital twin building 400-1 described above is a type of "cyberbuilding ", which enables the manager 10 to comprehensively determine the phenomenon occurring in the building 10 and make it predictable.

Information constituting the current situation big data 210-1 may include all of the operating facilities 11 operated in the building 10 as information collected from the IOT sensor 110 and the IOT actuator 120. [ Therefore, since the current situation big data 210-1 is information obtained from facilities having different operating places, situations, operating principles, etc., the amount of information is not only vast but also includes unformatted information.

Therefore, when the management personnel including the manager 1 directly analyzes the current situation big data 210-1, it takes a great amount of time to analyze a vast amount of time. In addition, There is a limit to analyzing the organic relationships of various kinds of information.

As described above, by operating the digital twin building 400-1 using the structure of the building 10, the operating facility 11 operated by the building 10, and the current situation big data 210, the actual building 10 , It is possible to comprehensively determine the current situation 210-0 by monitoring the entire situation of the building 10 and to provide a prediction system that assumes various situations.

Referring to FIG. 4, the simulation module 410 may generate the virtual prediction information 410-2 based on various information about the building 10 and the built-in calculation module.

The virtual simulation condition information 420-2 is generated by the simulation module 410 in accordance with the physical phenomenon of the building 10 Is one of the simulation condition information 420-1 input from the simulation input module 420 as initial condition information necessary for simulation.

The simulation condition information 420-1 may include virtual simulation condition information 420-2 and actual situation simulation condition information 420-3 (B).

The virtual simulation condition information 420-2 includes the relevance of the corresponding procedure 220-1 and the determination algorithm 231 and the SOP selection algorithm 232 of the digital twin building 400-1, This is the initial information for judging the suitability of operation.

Therefore, the best prediction information 410-1 calculated using the virtual simulation condition information 420-2 is the predicted information 410-1 generated to optimize the operating logic of the artificial intelligent central processing unit 200 shown in FIGS. The simulation operation of the digital twin tower 400-1 using the virtual simulant line condition information 420-2 may be performed based on the current state information generated by the judgment algorithm 231 231-0) is in a normal situation 231-2.

4, the virtual prediction information 410-1 can be notified to the manager 1, and at the same time, the virtual situation counterpart, that is, the situation counterpart 230, can do.

As described above, what is necessary to maximize the countermeasure effect 230-1 is the countermeasure procedure 230-1 and the optimal countermeasure procedure 232-1. The digital twin building 400-1 is operated based on the virtual simulation condition information 420-2 so that the judgment algorithm 231 and the SOP selection algorithm 232 according to the virtual simulation condition information 420-2 are operated The determination algorithm 231 and the SOP selection algorithm 232 are operated by deriving the corresponding procedure 220-1 and the optimum correspondence procedure 232-1 and predicting the corresponding effect according to the situation, ) And the optimum correspondence procedure 232-1.

At this time, a machine learning method using big data can be applied. Machine learning is a method to change and improve the 'specific system' based on the information that is applied to the 'specific system' and the output of the input to the input. It is based on the detailed method and input and output information, Learning reinforcement learning and ring drawing learning.

The simulation condition information 420-2 is input to the simulation module 410 including the on-scene situation big data 210-1 and the virtual prediction information 421-2 and the virtual corresponding effect are output , The presence on the simulation operation performed by the simulation 410 module can verify the suitability of all logic judgments and the appropriateness of the information data including digital SOPs.

FIG. 5 is a block diagram illustrating a prediction calculation method applied to a digital SOP and prediction-based building integrated operating system and method according to an embodiment of the present invention.

Referring to FIG. 5, the simulation module 410-1 may use a calculation module that can simulate the current situation big data 210-1 and the physical operation of the operating facility 11. [

Further, since the operating facility 11 may include all the facilities for operating the building, additional information for simulating the operation of the operating facility 11, for example the structure of the building 10 and the structure of the operating facility 11, Location of piping, water supply and drainage, piping structure for water purifier for water supply, and electric equipment structure, and the like.

The present situation big data 210-1 can represent the current situation 210-0 of the building 10 at a specific time t = 0 and can simulate the present situation big data 210-1 and the operating facility 11 It is possible to calculate the prediction information at another specific time t = t 'after a specific time.

The machine learning method mentioned in the description of FIG. 4 may be applied, and particularly if the prediction calculation of FIG. 5 is repeatedly performed, as in the optimization procedure for generating the digital SOP shown in FIG. 4, Accuracy can be increased.

That is, the predicted information of t = t 'is calculated by the current situation big data 210-1 at time t = 0, and the current situation big data 210-1 and the simulation preparation data 420-1 ), And by performing it with the machine learning method, the accuracy of the prediction function of the simulation module can be continuously improved.

In the simulation of the simulation module 410, the determination algorithm 231 and the SOP selection algorithm, which are two main algorithms constituting the situation counter 230, are used to operate the digital twin building 400- 1, a logical error or a problem of the algorithms 231 and 232 can be grasped by applying the management tool of the actual building 10.

FIG. 6 is a block diagram illustrating optimization of a prediction calculation simulation module using real situation prediction information applied to a digital SOP and prediction-based building integrated operating system and method according to an embodiment of the present invention.

Referring to FIG. 6, the actual situation prediction unit 410 uses the actual situation prediction information 410-3 to borrow the situation response unit 230, and the situation response unit 230 generates a decision algorithm based on the input actual situation prediction information, SOP selection algorithm 232 and finally calculates the actual situation response effect 230-2.

This actual situation response effect 230-2 is one of the corresponding effects 230-1 calculated based on the actual situation prediction information 410-3 and the actual situation prediction information 410-3 is the actual situation simulation condition Is one of the prediction information 410-1 shown in FIG. 4 as the information 420-3.

As described above, preferably, the virtual situation simulation condition information 420-2 can be input by the manager 1 when the current situation information 231 is the normal situation 231-2.

On the other hand, the actual situation simulation condition information 420-3 is preferably generated based on the current situation big data 210-1 when the current situation information 231 is in an abnormal situation 231-1, Module 420 to generate the actual situation prediction information 410-3 in the simulation module 410. [

Accordingly, the integrated digital SOP and predictive-based building integrated operating system and method according to an embodiment of the present invention can be applied to an abnormal situation 231-1 occurring in a building 10 to which an integrated operating system is applied and an abnormal situation 231-1 occurring in a building 10 The steps from the generation of the situation to the confirmation-occurrence-prediction-optimum response-correspondence procedure are performed through quantitative analysis and prediction in a short period of time The state of the building 10 can be collected in the form of big data information by applying IoT technology to the operating facility 11 and the machine learning can be performed in a complex situation It is possible to grasp and respond.

It is also possible to predict the situation occurring in the building 10 by using the digital twin building 400-1 which is a cyber building that simulates the building 10 to which the integrated operating system is applied, Thus, an optimized response procedure can be derived, and it is possible to proactively respond to an abnormal situation, thereby minimizing the golden time waste in an emergency situation.

FIG. 7 illustrates an operational flowchart of a digital SOP and prediction-based building integrated operation system and method according to an embodiment of the present invention.

Referring to FIG. 7, the digital SOP and prediction based building integrated operating system and method according to an embodiment of the present invention includes environment information 110-1, facility information 110-2, and facility information 120-1 And collects these pieces of information to generate the current situation big data 210-1.

SOP 220-2 and determines whether the current status 210-0 is an abnormal status 231-1 or a normal status 220-3 based on the current status big data 210-1 231-0).

The IoT control unit 240 configures the corresponding procedure 220-1 selection and the optimum response procedure 232-1 when the current status 210-0 is determined to be the abnormal status 231-1, -1 corresponding to the abnormal situation 231-1 according to the optimum response procedure 232-1 by operating the IOT sensor 110 and the IOT actuator 120 to control the operating facility 11. [

In addition, by generating and displaying the digital twin building 400-1 composed of the simulation module 410 for predicting and calculating based on the simulation condition information 420-1 including the current situation big data 210-1, It is possible to comprehensively judge / cope with the abnormal situation 231-1.

When the current situation information 231-0 is determined to be the normal situation 220-3 in the current situation 210-0, the virtual simulation condition information 420-2 is input to generate the virtual prediction information 410-2 Based on this, the optimal SOP can be generated by continuously modifying the SOP.

When it is determined that the current situation 210-0 is the abnormal situation 231-1 in the current situation information 231-0, the actual situation simulation condition information 420-3 is input and the prediction information 410- 3) and the actual situation response effect 230-2, thereby establishing the corresponding procedure 220-1 and the optimum response procedure 232-1. The IoT controller 240 operates the IoT sensor 110 and the IoT actuator 120 according to the optimum response procedure 232-1 to calculate the corresponding effect 230-1 corresponding to the abnormal situation 231-1 The simulation module 410, the judgment algorithm 231 and the SOP selection algorithm 232 to predict and calculate the improved actual situation prediction information 410-3.

It should be noted that the above-described apparatus and method are not limited to the configurations and methods of the embodiments described above, but the embodiments may be modified so that all or some of the embodiments are selectively combined .

1. Manager
10. Building
11. Operating facilities
100. IoT device section
110. IoT sensor
110-1. Environmental Information 110-2 Equipment Information
120. IoT actuator
120-1. Operational Information
200. Artificial Intelligent Central Processing Unit
210. IoT information collecting section
210-0. Current Situation 210-1. Current Situation Big Data
220. Digital SOP management unit
220-1. Response Procedure 220-2 SOP
230. Situation counterpart
230-1. Corresponding effect
231. Decision Algorithm
231-1. Abnormal situation 231-2. Normal situation
232. SOP Selection Algorithm
232-1. Optimal response procedure
240. IoT device controller
300. Manager monitoring section
310. Display unit 320. Input unit
400. Digital Twin Building Operation Department
400-1. Digital Twin Building
410. Simulation module
410-1. Forecast information. 410-2 Virtual forecast information 410-3. Actual situation forecast information
420. Simulation Input Module
420-1. Simulation condition information
420-2. Virtual simulation condition information 420-3. Real condition simulation condition information

Claims (10)

The environment information 110-1 including the temperature in the building 10 and the operation environment 11 for operating the building 10 including the information communication facility, the automation facility, the energy facility, the security facility and the safety facility A plurality of IoT sensors 110 operating on the basis of IoT, measuring the facility information 110-2 including the operating state, and operating the operating facility 11 to generate the operating information 120-1, An IoT device part (100) including a plurality of IoT actuators (120) operating on the basis of the IoT actuators (120); And
And receives the environment information 110-1, the facility information 110-2 and the operation information 120-1 to determine a current state including information on the current state 210-0 of the building 10 An abnormal situation 231-1 including a disaster situation, a disaster situation and an accident situation occurring in the building 10 and a normal situation 231-1 including digital information, A digital SOP management unit 220 for generating a disaster response and building operation standard procedure (SOP) 220-2 including a corresponding procedure 220-1 corresponding to the situation 231-2, The current status 210-0 is determined to be a normal status 231-2 excluding the abnormal status 231-1 or the abnormal status 231-1 based on the current status big data 210-1. A determination algorithm 231 for determining whether or not the current status 210-0 is the current status information 231-0 and generating the current status information 231-0 if the current status 210-0 is determined to be the abnormal status 231-1 At least one or more than one (1) or more (two or more) of the SOPs 220-2 may be stored in the SOP 220-2 so as to maximize the countermeasure effect 230-1 including the loss of life, the loss of the operation facility 11 and the diffusion prevention effect of the abnormal situation 231-1. A situation responding unit 230 having an SOP selection algorithm 232 that selects the corresponding procedure 220-1 to configure an optimum response procedure 232-1 and calculates the corresponding effect 230-1, And an IoT device controller 240 configured to operate the IoT sensor 110 and the IoT actuator 120 based on the IoT according to an optimum response procedure 232-1. Wherein the digital SOP and predictive-based building integrated operating system are characterized by: The method according to claim 1,
Based on the design information (12) of the building (10) including the structure information of the building (10) and the installation information of the operating facility (11) and the current situation big data A simulation module 410 capable of predictively calculating prediction information 410-1 including information 110-1, future facility information 110-2 and future operation information 120-1, And a simulation input module 420 that receives simulation condition information 420-1 including a simulation initial value necessary for the prediction calculation and generates a digital twin building 400-1 that simulates the building 10 A digital twin building operation unit 400; And
Further comprising a display unit (310)
Wherein the display unit (310) displays the current situation information (231-0), the optimal correspondence procedure (232-1) and the digital twin building (400-1) Operating system. 3. The method of claim 2,
If the current state 210-0 is determined to be the normal state 231-2,
The manager 1 inputs the virtual simulation condition information 420-2,
Based on the virtual prediction information 410-2 predicted and calculated by the simulation module 410 using the virtual simulation condition information 420-2, the digital SOP management unit 220 performs the corresponding procedure 220 -1) by modifying the SOP (220) by creating, deleting, or revising the SOP (220).
3. The method of claim 2,
If the current state 210-0 is determined to be the abnormal state 231-1,
The situation responding unit 230 receives the actual situation simulation condition information 420-3 based on the current situation big data 210 through the simulation input module 420,
The simulation module 410 predictively calculates the actual situation prediction information 410-3 based on the actual situation simulation condition information 420-3,
The situation responding unit 230 may further include a loss of life entity, a loss of the operation facility 11, and a diffusion prevention effect of the abnormal situation 231-1 based on the actual situation prediction information 410-3 And at least one corresponding procedure 220-1 is selected in the SOP 220-2 so as to maximize the actual situation response effect 230-2 by calculating the actual situation response effect 230-2 And an optimal response procedure (232-1). 5. The method of claim 4,
And further includes an input unit 320,
If the current status 210-0 is changed from the abnormal status 231-1 to the normal status 231-2,
The digital twin building operating unit 400 modifies the simulation module 410 based on the corresponding effect 230-1,
Wherein the manager (1) is able to modify the determination algorithm (231) and the SOP selection algorithm (232) through the input unit (320). A plurality of IoT sensors 110 operating on the basis of IoT are installed in the building 10 including environment information 110-1 including the temperature in the building 10 and environment information 110-1 including information communication equipments, A plurality of IoT actuators 120 operating on the IoT basis and measuring the facility information 110-2 including the operational state of the operating facility 11 for operating the facility 10, 120-1);
The IoT information collecting unit 210 receives the environment information 110-1, the facility information 110-2 and the operation information 120-1 to determine the current state 210-0 Generating current situation big data 210-1 including information on the current situation big data 210-1;
The digital SOP management unit 220 determines whether or not the digital SOP management unit 220 has received the digital information and the response procedure corresponding to the abnormal situation 231-1 and the normal situation 231-2 including the disaster situation, (SOP) 220-2, which includes a disaster response and a building operation standard procedure 220-2,
The judgment algorithm 231 determines whether the current situation 210-0 is a normal situation excluding the abnormal situation 231-1 or the abnormal situation 231-1 based on the current situation big data 210-1, (220-3) and generating current situation information (231-0);
If the current state 210-0 is determined to be the abnormal state 231-1, the SOP selection algorithm 232 determines whether the loss of life of the operating facility 11 and the loss of the abnormal state 231-1 At least one corresponding procedure 220-1 is selected in the SOP 220-2 so as to maximize the corresponding effect 232-2 including the diffusion prevention effect so as to configure the optimum correspondence procedure 232-1 ;
The IoT controller 240 may operate the IoT sensor 110 and the IoT actuator 120 based on the IoT in accordance with the optimum response procedure 232-1,
And calculating the corresponding effect (230-1) by the situation response unit (230). The method according to claim 6,
The simulation module 410 provided in the digital twin building operation unit 400 may transmit the design information 12 of the building 10 including the structure information of the building 10 and the installation information of the operating facility 11, Prediction information 410 including future environment information 110-1, future facility information 110-2 and future operation information 120-1 based on the big data 210-1, -1);
Receiving a simulation condition information 420-1 including a simulation initial value necessary for the prediction calculation by a simulation input module 420 provided in the digital twin building operation unit 400;
The digital twin building operating unit 400 generates a digital twin building 400-1 that simulates the building 10;
Further comprising the step of the display unit (310) displaying the current situation information (231-0), the optimum correspondence procedure (232-1) and the digital twin building (400-1) And prediction - based building integrated operation method. 8. The method of claim 7,
If the current state 210-0 is determined to be the normal state 231-1,
Inputting virtual simulation condition information 420-2 by the manager 1;
The simulation module 410 predictively calculates virtual prediction information 410-2 using the virtual simulation condition information 420-2; And
The digital SOP management unit 220 may modify the SOP 220 by creating, deleting, or revising the corresponding procedure 220-1 based on the virtual prediction information 420-2 A digital SOP and a prediction based building integrated operation method. 8. The method of claim 7,
If the current state 210-0 is determined to be the abnormal state 231-1,
Inputting the actual situation simulation condition information 420-3 based on the current situation big data 210 through the simulation input module 420;
The simulation module 410 predictively calculates the actual situation prediction information 410-3 based on the actual situation simulation condition information 420-3;
The actual situation prediction unit 410 may calculate the real situation prediction information 410-3 based on the actual situation prediction information 410-3, Calculating a state response effect (230-2);
Selecting at least one corresponding procedure 220-1 in the SOP 220-2 so as to maximize the actual situation response effect 230-2 to configure an optimal correspondence procedure 232-1; Further comprising the steps of: providing a digital SOP; 10. The method of claim 9,
If the current status 210-0 is changed from the abnormal status 231-1 to the normal status 220-3,
The situation responding unit 230 may calculate the corresponding effect 232-1;
The digital twin building operating unit 400 modifies the simulation module 410 based on the corresponding effect 232-2,
Further comprising the step of the manager (1) modifying the determination algorithm (231) and the SOP selection algorithm (232) through the input unit (320).

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