A substation safety management and control method and system based on a power equipment model library

Abstract

The application discloses a kind of based on power equipment model library's substation safety management and control method and system, it is related to substation technical field, specifically: operating state parameter acquisition module obtains the operating state parameter information of each power equipment in substation according to several sensors;Control module issues the patrol instruction to patrol module according to substation environment when the operating state parameter information of power equipment meets preset condition;Patrol module obtains the image data and point cloud data of substation using mobile measuring equipment;Remote monitoring terminal carries out solving and preprocessing to image data and point cloud data uploaded by communication module, completes equipment individualization based on power equipment model library, simulates the real scene of substation using 3D modeling technology, judges whether power equipment is abnormal, and issues alarm information to on-site staff through alarm device.The application can improve the efficiency and accuracy of intelligent power station safety monitoring, realize the intelligent and autonomous substation safety management and control.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of transformer substations, and more particularly to a transformer substation safety management and control method and system based on a power equipment model library. BACKGROUND

[0002] The power grid is an important infrastructure for national development and social normal operation, an important link for rational distribution and utilization of energy, and an important component of the national comprehensive construction system. In recent years, with the increasing requirements for power supply quality, sustainable development and improvement of economic development level, the concept of smart grid has been gradually proposed, which not only improves the reliability and stability of power supply, but also promotes the intensive development and utilization of coal, hydropower, nuclear power and large-scale renewable energy, and better optimizes power quality.

[0003] In the entire power system, the transformer substation is in a core position, and the smart transformer substation is a prerequisite for developing the smart grid, and its reliability directly determines the monitoring and operation ability of the smart grid equipment, and provides technical support for integrated control and operation and maintenance. In the traditional transformer substation safety monitoring mode, it often depends on the inspection of the operation and maintenance personnel, and obtains the equipment state information through visual inspection, auditory inspection, olfactory inspection, and tactile inspection, and makes operation records, which has certain limitations. In addition, the operation reliability of the online monitoring device is poor, and some interference factors will affect the safe and reliable operation of the system, and the test precision and stability check is an important issue faced by the online monitoring device.

[0004] Therefore, how to improve the efficiency and accuracy of the smart substation safety monitoring, and realize the intelligent and autonomous safety management and control of the transformer substation is a technical problem that needs to be solved by the person skilled in the art. SUMMARY

[0005] Therefore, the present application provides a transformer substation safety management and control method and system based on a power equipment model library, which solves the problems in the background art.

[0006] In order to achieve the above-mentioned purpose, the present application provides the following technical scheme:

[0007] A transformer substation safety management and control system based on a power equipment model library, comprising:

[0008] An operating state parameter acquisition module configured to acquire operating state parameter information of each power equipment in the transformer substation according to a plurality of sensors;

[0009] A control module configured to determine whether the operating state parameter information meets a preset condition, and to issue a patrol instruction to a patrol module according to the transformer substation environment when the operating state parameter information of the power equipment meets the preset condition;

[0010] The inspection module is configured to inspect the substation according to the inspection instruction by using the mobile measurement device, and obtain image data and point cloud data of the substation.

[0011] The communication module is configured to upload the collected image data and point cloud data to a remote monitoring terminal.

[0012] The remote monitoring terminal is configured to solve and preprocess the image data and the point cloud data, complete device individualization based on a power equipment model library, simulate a real scene of the substation by using a 3D modeling technology, determine whether the power equipment is abnormal, and send a warning signal to the alarm device through the communication module if there is an abnormality.

[0013] The alarm device is configured to send alarm information to field staff according to the received warning signal.

[0014] Optionally, the operating state parameter collection module comprises:

[0015] The current sensor is arranged on the inner side of the power equipment and is configured to detect the current in the system.

[0016] The voltage sensor is arranged on the outer side of the power equipment and is configured to detect the voltage in the system.

[0017] The temperature sensor is adsorbed on the power equipment by using a magnetic adsorption type installation method and is configured to collect the temperature of the power equipment.

[0018] The leakage sensor is fixedly installed on the inner wall of one side of the power equipment and is configured to detect whether the power equipment is electrified.

[0019] The smoke sensor is arranged on the inner side of the power equipment and is configured to detect the smoke concentration of the space in which the power equipment is located.

[0020] Signal output ends of the current sensor, the voltage sensor, the temperature sensor, the leakage sensor and the smoke sensor are electrically connected to signal input ends of the control module through wires.

[0021] Optionally, the control module comprises:

[0022] The determination submodule is configured to compare the collected operating state parameter information of the power equipment with a corresponding preset threshold, and determine whether the current operating state of the power equipment meets a preset condition.

[0023] The planning submodule is configured to determine a detection range and an angle blind area of the preliminary selected measurement points, and screen the minimum measurement points required for inspection of all power equipment by using an ant colony algorithm, and formulate an inspection route of the mobile measurement device according to the screened measurement points.

[0024] The instruction generation submodule is configured to generate an inspection instruction according to the inspection route formulated by the planning submodule when the current operating state of the power equipment meets the preset condition.

[0025] Optionally, the mobile measuring device comprises a UAV and a camera and a laser scanner mounted on the UAV;

[0026] the camera is configured to capture the environment around the power equipment to obtain image data of the substation;

[0027] the laser scanner is configured to detect the positions of the power equipment to obtain point cloud data of the substation;

[0028] The UAV comprises a positioning module, a tracking control module and a flight control module, the tracking control module determines the position coordinates of the UAV by using the positioning module, and cooperates with the flight control module to automatically control the UAV to complete the patrol of the substation according to the patrol instruction.

[0029] Optionally, the remote control terminal comprises:

[0030] The solving module is configured to perform POS solving on the collected point cloud data and image data by using solving software, and obtain point cloud data and image data meeting the accuracy requirement through data adjustment and correction processing;

[0031] The preprocessing module is configured to filter, thin and smooth the solved point cloud data, and register the processed point cloud data and image data at the same coordinate position;

[0032] The segmentation and recognition module is configured to perform semantic classification on the panoramic image of the substation according to different types of power equipment in the processed image data, correspond the classification result with the standard model in the power equipment model library, and complete the equipment individualization;

[0033] The modeling module is configured to simulate the real scene of the substation according to the equipment individualization result by using 3D modeling technology, and generate a three-dimensional model of the substation;

[0034] The abnormality recognition module is configured to determine whether the power equipment is abnormal according to the three-dimensional model of the substation and the equipment individualization result, and determine the type and position of the power equipment.

[0035] Optionally, the power equipment model library is constructed in the following manner:

[0036] The standard structure of the template file is set based on big data, the power equipment is decomposed into a plurality of components, and corresponding template models are established respectively to distinguish the features of each component as retrieval information to store and read the template file;

[0037] The point cloud data of the power equipment is matched with the template model to obtain attribute information of the power equipment represented by the point cloud data, and the attribute information is saved in association with the point cloud data;

[0038] Confirm the connection relationship between a certain template model and the rest of the template models, generate a linked model, and build a topology graph composed of all the linked models;

[0039] The overall storage structure of the design model library is designed, each template model and the attribute information of the corresponding power equipment are stored in layers, and the template files of different types of power equipment are searched and read to establish the power equipment model library.

[0040] Optionally, the communication module comprises: a first communication component connected with the mobile measurement device, and a second communication component connected with the remote monitoring terminal.

[0041] The first communication component is any one of WiFi, Lora, Zigbee or wired communication.

[0042] The second communication component is any one of 4G communication, 5G communication or optical fiber communication.

[0043] Optionally, the early warning signal is a buzzer alarm and / or a warning light flashing.

[0044] A method applied to the substation safety management and control system based on the power equipment model library as described in any one of the above, comprising the following steps:

[0045] Obtain the running state parameter information of each power equipment in the substation by using a plurality of sensors;

[0046] Determine whether the running state parameter information meets the preset condition, and when the running state parameter information of the power equipment meets the preset condition, use the mobile measurement device to patrol the substation, obtain the image data and point cloud data of the substation and upload them to the remote monitoring terminal through the communication module;

[0047] The remote monitoring terminal calculates and preprocesses the image data and point cloud data, completes the equipment individualization based on the power equipment model library, simulates the real scene of the substation by using the 3D modeling technology, determines whether the power equipment is abnormal, and if there is an abnormality, sends an alarm information to the on-site staff through the alarm device.

[0048] According to the above technical solution, compared with the prior art, the present application provides a substation safety management and control method and system based on a power equipment model library, which can simulate the real scene of the substation, improve the efficiency and accuracy of intelligent substation safety monitoring, realize intelligent and autonomous substation safety management and control, and ensure safety. The construction of the power equipment model library can provide support for the monitoring of power equipment in the substation and make up for the shortcomings of three-dimensional reconstruction. BRIEF DESCRIPTION OF DRAWINGS

[0049] In order to make the technical solutions in the embodiments of the present application or the prior art clearer, the accompanying drawings needed in the embodiments or prior art description will be briefly introduced. Obviously, the accompanying drawings in the following description only aim to explain part of the embodiments of the present application, and all other embodiments obtained by those of ordinary skill in the art without creative effort based on the provided accompanying drawings also belong to the protection scope of the present application.

[0050] Figure 1 The structural diagram of the substation safety management and control system based on the power equipment model library provided by the present application is shown. DETAILED DESCRIPTION

[0051] The technical solutions in the embodiments of the present application will be described clearly and completely in combination with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort also belong to the protection scope of the present application.

[0052] The embodiments of the present application disclose a substation safety management and control system based on a power equipment model library, as shown in the accompanying drawings, comprising: Figure 1

[0053] An operating state parameter acquisition module is configured to acquire operating state parameter information of each power equipment in the substation according to a plurality of sensors;

[0054] A control module is configured to determine whether the operating state parameter information meets a preset condition, and to send a patrol instruction to a patrol module according to the substation environment when the operating state parameter information of the power equipment meets the preset condition;

[0055] A patrol module is configured to patrol the substation according to the patrol instruction by using a mobile measurement device, and to acquire image data and point cloud data of the substation;

[0056] A communication module is configured to upload the acquired image data and point cloud data to a remote monitoring terminal;

[0057] The remote monitoring terminal is configured to solve and preprocess the image data and the point cloud data, to complete equipment individualization based on the power equipment model library, to simulate a real scene of the substation by using a 3D modeling technology, to determine whether the power equipment is abnormal, and to send an early warning signal to an alarm device through the communication module if the power equipment is abnormal;

[0058] The alarm device is configured to send alarm information to on-site staff according to the received early warning signal.

[0059] Further, in a specific embodiment, the operating state parameter acquisition module comprises:

[0060] ​The current sensor is small in size, arranged on the inner side of the power equipment, and used for detecting the current in the system;

[0061] The voltage sensor is large in size and arranged on the outer side of the power equipment, and used for detecting the voltage in the system;

[0062] The temperature sensor is adsorbed on the power equipment in a magnetic attraction type installation mode, and used for collecting the temperature of the power equipment;

[0063] The leakage sensor is fixedly installed on the inner wall of one side of the power equipment, and used for detecting whether the power equipment leaks electricity;

[0064] The smoke sensor is arranged on the inner side of the power equipment, and used for detecting the smoke concentration of the space where the power equipment is located;

[0065] The signal output ends of the current sensor, the voltage sensor, the temperature sensor, the leakage sensor and the smoke sensor are electrically connected with the signal input end of the control module through wires.

[0066] In the embodiment, the running states of the power equipments are first detected in real time by the sensors, and when the detected data exceeds the corresponding preset threshold, it is considered that the power equipment may have an abnormality. However, only this judgment is easy to misjudge and waste manpower and material resources. In the embodiment, the monitoring accuracy can be improved by combining the sensor monitoring with the unmanned aerial vehicle inspection.

[0067] Further, in a specific embodiment, the control module comprises:

[0068] The judgment submodule is configured to compare the collected running state parameter information of the power equipment with the corresponding preset threshold, and determine whether the current running state of the power equipment meets the preset condition;

[0069] The planning submodule is configured to determine the detection range and the angle blind area of the preliminary selected measuring points, and screen the minimum measuring points required for the inspection of all the power equipments by using an ant colony algorithm, and formulate an inspection route of the mobile measuring device according to the screened measuring points;

[0070] The instruction generation submodule is configured to generate an inspection instruction according to the inspection route formulated by the planning submodule when the current running state of the power equipment meets the preset condition.

[0071] In addition, when planning the inspection route, the substation area to be inspected is first determined, the basic coordinate system and the reference elevation are set, the terrain and the obstacle shielding situation in the area are understood, the flight route is formulated in combination with the flight constraint conditions of the unmanned aerial vehicle, and the flight route is dynamically adjusted according to the demand or the actual situation.

[0072] Specifically, since the number of power equipment in the substation is large, if each measuring point of each power equipment is stopped, the energy consumption of the unmanned aerial vehicle will be increased, and the planning submodule of the embodiment can preliminarily select the measuring point according to the plan map of the substation, determine the detection range and the visual angle blind area of each measuring point through the maximum detection distance and the maximum detection angle of the unmanned aerial vehicle, select a best measuring point as the unmanned aerial vehicle stopping point with the highest detection quality in the measuring points with the same inspection function, and then plan the inspection route according to all the selected best measuring points, thereby reducing the energy consumption of the unmanned aerial vehicle.

[0073] Further, in a specific embodiment, the mobile measuring device comprises an unmanned aerial vehicle and a camera and a laser scanner carried on the unmanned aerial vehicle.

[0074] The camera is configured to capture the environment around the power equipment to obtain image data of the substation.

[0075] The laser scanner is configured to detect the positions of the power equipment to obtain point cloud data of the substation.

[0076] The unmanned aerial vehicle comprises a positioning module, a tracking control module and a flight control module. The tracking control module determines the position coordinates of the unmanned aerial vehicle by using the positioning module, and cooperates with the flight control module to automatically control the unmanned aerial vehicle to complete the inspection of the substation according to the inspection instruction.

[0077] In addition, the unmanned aerial vehicle can be further provided with a visual angle adjusting unit to drive the camera to rotate in the vertical plane / horizontal plane, thereby increasing the visual angle shooting direction and overcoming the limitation of the conventional technology that can only shoot from the vertical angle, which is helpful to truly feedback the actual situation of the substation.

[0078] Specifically, the camera carried on the unmanned aerial vehicle can perform oblique photography according to the planned flight trajectory to collect image data of the substation, position information attached to the photos, differential positioning information and POS data.

[0079] Further, in a specific embodiment, the remote control terminal comprises:

[0080] The solving module is configured to use a solving software to perform POS solving on the collected point cloud data and image data by configuring coordinate parameters, and to obtain point cloud data and image data meeting the accuracy requirement through data adjustment and correction processing, so as to effectively solve complex image solving such as large angle, large height difference and weak texture, and to improve the data accuracy.

[0081] The preprocessing module is configured to filter, thin and smooth the calculated point cloud data, and register the processed point cloud data and image data at the same coordinate position; the filtering can remove noise points and outliers, the point cloud dense part in the point cloud image is thinned and smoothed at a certain ratio, the collected data is more comprehensive, and the quality and accuracy of subsequent model construction are improved;

[0082] The segmentation and recognition module is configured to perform semantic classification on the panoramic image of the substation according to different types of power equipment in the processed image data, correspond the classification result with the standard model in the power equipment model library, and complete the equipment individualization;

[0083] The modeling module is configured to simulate the real scene of the substation according to the equipment individualization result by using the 3D modeling technology, and generate the three-dimensional model of the substation;

[0084] The abnormality recognition module is configured to determine whether the power equipment is abnormal according to the three-dimensional model of the substation and the equipment individualization result, and determine the type and position of the power equipment.

[0085] Further, in a specific embodiment, the construction method of the power equipment model library is specifically as follows:

[0086] The standard structure of the template file is set based on big data, the power equipment is decomposed into a plurality of components, and the corresponding template model is established to distinguish the characteristics of each component as the retrieval information to store and read the template file;

[0087] The point cloud data of the power equipment is matched with the template model to obtain attribute information of the power equipment represented by the point cloud data, and the attribute information is saved in association with the point cloud data;

[0088] The connection relationship between a certain template model and the remaining template models is confirmed, a linked model is generated, and a topology graph composed of all linked models is constructed;

[0089] The overall storage structure of the model library is designed, each template model and the attribute information of the corresponding power equipment are stored in layers, the template files of different types of power equipment are retrieved and read, and the power equipment model library is established.

[0090] Further, in a specific embodiment, the communication module includes: a first communication component connected with the mobile measurement device, and a second communication component connected with the remote monitoring terminal;

[0091] The first communication component is any one of WiFi, Lora, Zigbee or wired communication;

[0092] The second communication component is any one of 4G communication, 5G communication or optical fiber communication.

[0093] Further, in a specific embodiment, the early warning signal is a buzzer alarm and / or a warning light flashing, reminding the on-site staff to pay attention to the abnormal power equipment. In addition, when there is an emergency that needs to be handled by the substation on-site personnel, the remote monitoring terminal can publish an emergency task through the background and directly push it to the AR device of the operation and maintenance personnel to realize the function of on-site task handling; when the operation and maintenance personnel do not have the conditions to complete the task, the guidance to the front-line personnel is realized through remote expert assistance.

[0094] In addition, the embodiment of the application further discloses a method applied to the substation safety management and control system based on the power equipment model library, and the method comprises the following steps:

[0095] acquiring the operation state parameter information of each power equipment in the substation by using a plurality of sensors;

[0096] judging whether the operation state parameter information meets the preset condition, and when the operation state parameter information of the power equipment meets the preset condition, performing a tour of the substation by using a mobile measurement device, acquiring image data and point cloud data of the substation, and uploading the image data and the point cloud data to a remote monitoring terminal through a communication module;

[0097] the remote monitoring terminal performs calculation and preprocessing on the image data and the point cloud data, completes device individualization based on the power equipment model library, simulates a real scene of the substation by using a 3D modeling technology, judges whether the power equipment is abnormal, and if the power equipment is abnormal, sends an alarm information to on-site staff through an alarm device.

[0098] In summary, the embodiment of the application collects the image data and the point cloud data of the substation by using the mobile measurement device and performs preprocessing, classifies the preprocessed image data in a semantic manner, realizes device individualization, superimposes the connection relationship between a certain device model and the remaining models on the template model and further performs 3D modeling, can simulate the real scene of the substation, and on this basis, can complete the intelligent monitoring of the substation and ensure safety. When the power equipment model library is constructed, the point cloud data of the power equipment is processed and matched with the template to obtain attribute information of the power equipment represented by the point cloud data, which is saved in association with the point cloud data, can provide support for the monitoring of the power equipment in the substation, and make up for the deficiency of three-dimensional reconstruction.

[0099] The embodiments in the specification are described in a progressive manner, and each embodiment focuses on the difference from other embodiments. The same or similar parts of each embodiment can be referred to each other. For the method disclosed by the embodiment, since it corresponds to the system disclosed by the embodiment, the description is relatively simple, and the related parts can be referred to the method part.

[0100] The foregoing description of the disclosed embodiments enables a person skilled in the art to make or use the application. Modifications of these embodiments will occur to persons of skill in the art, and that the appended claims are intended to cover all such modifications that do not depart from the true spirit and scope of the application. Therefore, the application is not limited to the embodiments shown but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A power equipment model library-based substation safety management and control system, characterized in that, The utility model relates to a kind of remote monitoring system of substation, including: Running state parameter acquisition module, for obtaining the running state parameter information of each power equipment in substation according to several sensors; Control module, for judging whether running state parameter information meets preset condition, when the running state parameter information of power equipment meets preset condition, according to the environment of substation, issue patrol instruction to patrol module; Patrol module, for using mobile measurement equipment to patrol substation according to patrol instruction, obtain the image data and point cloud data of substation; Communication module, for uploading the image data and point cloud data collected to remote monitoring terminal; Remote monitoring terminal, for solving and preprocessing image data and point cloud data, complete equipment monomerization based on power equipment model library, simulate the real scene of substation using 3D modeling technology, judge whether power equipment is abnormal, if there is abnormality, send early warning signal to alarm device through communication module; Alarm device, for issuing alarm information to on-site staff according to received early warning signal; Wherein, the construction mode of power equipment model library is specifically: Based on the standard structure of template file set by big data, decompose power equipment into several components and establish corresponding template model respectively, to distinguish the characteristics of each component as retrieval information to store and read template file; Match the point cloud data of power equipment with template model, get the attribute information of power equipment represented by point cloud data, save attribute information and point cloud data in association; Confirm the connection relationship between a certain template model and the rest template models, generate link model, and construct topology graph composed of all link models; Design the overall storage structure of model library, store each template model and the attribute information of corresponding power equipment hierarchically, retrieve and read power equipment template file of different types, and establish power equipment model library. 2.The substation safety management and control system based on a power equipment model library of claim 1, wherein, The running state parameter acquisition module includes: Current sensor, arranged inside the power equipment, for detecting current in the system; Voltage sensor, arranged outside the power equipment, for detecting voltage in the system; Temperature sensor, using magnetic attraction type installation method to be adsorbed on the power equipment, for collecting temperature of power equipment; Leakage sensor, fixedly installed on the inner wall of one side of power equipment, for detecting whether power equipment leaks electricity; Smoke sensor, arranged inside the power equipment, for detecting smoke concentration of space where power equipment is located; The signal output ends of current sensor, voltage sensor, temperature sensor, leakage sensor and smoke sensor are electrically connected with the signal input end of control module through wires. 3.The substation safety management and control system based on power equipment model library of claim 1, wherein, The control module includes: Judgment submodule, for comparing the collected running state parameter information of power equipment with corresponding preset threshold, to judge whether the current running state of power equipment meets preset condition; Planning submodule, for determining the detection range and angle blind area of primary selected measuring point and screening the least measuring point required for all power equipment inspection using ant colony algorithm, to formulate the inspection route of mobile measurement equipment according to screened measuring point; The instruction generation submodule is configured to generate a patrol instruction according to the patrol route formulated by the planning submodule when the current operation state of the power equipment meets the preset condition.

4. The substation safety management and control system based on the power equipment model library according to claim 1, characterized in that, The mobile measurement device includes a drone and a camera and a laser scanner mounted on the drone; The camera is configured to capture the environment around the power equipment to obtain image data of the substation; The laser scanner is configured to detect the positions of the power equipment to obtain point cloud data of the substation; The drone includes a positioning module, a tracking control module and a flight control module.

5. The substation safety management and control system based on the power equipment model library according to claim 1, characterized in that, The tracking control module determines the position coordinates of the drone by using the positioning module, and cooperates with the flight control module to automatically control the drone to complete the patrol of the substation according to the patrol instruction. The remote monitoring terminal includes: The solving module is configured to use solving software to perform POS solving on the collected point cloud data and image data by configuring coordinate parameters, and to obtain point cloud data and image data meeting the accuracy requirements through data adjustment and correction processing; The preprocessing module is configured to filter, thin and smooth the solved point cloud data, and to register the processed point cloud data and image data at the same coordinate position; The segmentation and recognition module is configured to perform semantic classification on the panoramic image of the substation according to different types of power equipment in the processed image data, to correspond the classification result with the standard model in the power equipment model library, and to complete the equipment individualization; The modeling module is configured to simulate the real scene of the substation according to the equipment individualization result by using 3D modeling technology, and to generate a three-dimensional model of the substation; 6. The substation safety management and control system based on a power equipment model library according to claim 1, characterized in that, The abnormality recognition module is configured to determine whether the power equipment is abnormal according to the three-dimensional model of the substation and the equipment individualization result, and to determine the type and position of the power equipment. The communication module includes a first communication component connected with the mobile measurement device and a second communication component connected with the remote monitoring terminal; The first communication component is any one of WiFi, Lora, Zigbee or wired communication; 7. The substation safety management and control system based on the power equipment model library according to claim 1, characterized in that, The second communication component is any one of 4G communication, 5G communication or optical fiber communication.

8. A method applied to the power equipment model library-based substation safety management and control system according to any one of claims 1-7, characterized in that, The early warning signal is a buzzer alarm and / or a warning light flashing. The method includes the following steps: Obtaining the operation state parameter information of each power equipment in the substation by using a plurality of sensors; Determining whether the operation state parameter information meets the preset condition, and when the operation state parameter information of the power equipment meets the preset condition, using the mobile measurement device to patrol the substation, obtaining the image data and point cloud data of the substation and uploading them to the remote monitoring terminal through the communication module; The remote monitoring terminal performs solving and preprocessing on the image data and point cloud data, completes equipment individualization based on the power equipment model library, simulates the real scene of the substation by using 3D modeling technology, determines whether the power equipment is abnormal, and if there is an abnormality, sends an alarm information to the on-site staff through the alarm device.

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