CN114282803A

CN114282803A - Emergency disposal method and device, computing equipment and computer readable storage medium

Info

Publication number: CN114282803A
Application number: CN202111590134.XA
Authority: CN
Inventors: 闫风龙; 李玮; 刘忠江; 王广善
Original assignee: Beijing Dongtu Tuoming Technology Co ltd
Current assignee: Beijing Dongtu Tuoming Technology Co ltd
Priority date: 2021-12-23
Filing date: 2021-12-23
Publication date: 2022-04-05

Abstract

The embodiment of the application relates to the technical field of communication, and relates to an emergency handling method, an emergency handling device, computing equipment and a storage medium. The specific implementation scheme is as follows: collecting monitoring data of production equipment in a designated area; determining a corresponding emergency plan based on a decision tree algorithm according to the monitoring data; in a building information model of a designated area, positioning fault equipment associated with an emergency plan from production equipment to obtain fault equipment positioning information; in a building information model of a designated area, positioning personnel associated with an emergency plan to obtain personnel positioning information; and sending out execution indication information of the emergency plan according to the fault equipment positioning information and the personnel positioning information. According to the embodiment of the application, the fault equipment and personnel related to the emergency plan are positioned based on the building information model, emergency disposal is started in a flow-driven mode of the emergency plan, the real-time performance of information interaction and the linkage performance of emergency operation can be guaranteed, and the timeliness and effectiveness of the emergency disposal are guaranteed.

Description

Emergency disposal method and device, computing equipment and computer readable storage medium

Technical Field

The present invention relates to the field of communications technologies, and in particular, to an emergency handling method and apparatus, a computing device, and a computer-readable storage medium.

Background

At present, enterprises and factories implement emergency management and rescue command by relying on traditional means such as paper emergency plans, telephone scheduling, emergency drills and the like in the process of emergency daily management and handling of emergency accidents. The paper emergency plan has poor operability and slow response to emergency guard, and is difficult to ensure effective management and scientific scheduling of emergency resources. When an accident occurs, the execution indication information of the emergency plan cannot be transmitted in time at the first time, so that the accident cannot be effectively controlled at the first time, and the economic loss and the casualties of the accident are further enlarged.

Disclosure of Invention

In view of the above problems in the prior art, embodiments of the present application provide an emergency disposal method and apparatus, a computing device, and a computer-readable storage medium, which can locate a faulty device and a person associated with an emergency plan based on a building information model, start emergency disposal in a process-driven manner of the emergency plan, ensure real-time performance of information interaction and linkage of emergency operation, and ensure timeliness and effectiveness of emergency disposal.

To achieve the above object, a first aspect of the present application provides an emergency disposal method, including:

collecting monitoring data of production equipment in a designated area;

determining a corresponding emergency plan based on a decision tree algorithm according to the monitoring data;

in the building information model of the designated area, positioning fault equipment associated with the emergency plan from the production equipment to obtain fault equipment positioning information;

in the building information model of the designated area, positioning personnel related to the emergency plan to obtain personnel positioning information;

and sending out execution indication information of the emergency plan according to the fault equipment positioning information and the personnel positioning information.

As a possible implementation manner of the first aspect, determining, according to the monitoring data, a corresponding emergency plan based on a decision tree algorithm includes:

presetting an early warning threshold corresponding to the monitoring data;

and determining an emergency plan corresponding to the early warning threshold value under the condition that the monitoring data is greater than or equal to the early warning threshold value.

As a possible implementation manner of the first aspect, in the building information model of the designated area, locating a faulty device associated with the emergency plan from the production device to obtain faulty device location information includes:

converting production equipment in the building information model of the designated area into geographic elements in a geographic information system;

and positioning the fault equipment associated with the emergency plan from the production equipment by using the geographic elements.

As a possible implementation manner of the first aspect, the method further includes:

in the building information model, performing information display on elements forming the building information model according to the attention degree of the elements; wherein the elements include elements of interest and elements of no interest.

As a possible implementation of the first aspect, the element of interest comprises the production device; the non-element of interest comprises a building element; the method further comprises the following steps:

displaying monitoring data of the production equipment based on predetermined operation of the production equipment in the building information model; displaying execution indication information of the emergency plan based on a predetermined operation on the fault equipment; and presenting the non-attention elements in a transparent and/or regularly shaped manner.

As a possible implementation manner of the first aspect, in the building information model of the designated area, locating a person associated with the emergency plan to obtain person location information includes:

the first positioning data of the positioning system is corrected by utilizing a real-time dynamic measurement algorithm;

and under the condition of receiving second positioning data of the positioning system reported by the personnel through an application program, positioning the personnel related to the emergency plan by using the corrected first positioning data.

comparing the information of the wireless local area network signal with first fingerprint information in a fingerprint library by using a cosine similarity algorithm under the condition that the second positioning data are not received and the wireless local area network signal reported by the personnel through an application program is received; according to the comparison result, positioning the position of the personnel associated with the emergency plan in the room;

comparing the radio frequency identification data with second fingerprint information in a fingerprint database under the condition that the second positioning data is not received and the radio frequency identification data is received; and according to the comparison result, positioning the outdoor position of the personnel associated with the emergency plan.

As a possible implementation manner of the first aspect, the second fingerprint information includes a signal strength of at least one predetermined position in a grid divided in the designated area;

according to the comparison result, positioning the position of the personnel associated with the emergency plan outdoors, comprising: and under the condition that the difference value between the radio frequency identification data and the signal strength of the preset position in the second fingerprint information is minimum, determining the preset position in the second fingerprint information as the position of the personnel associated with the emergency plan outdoors.

As a possible implementation manner of the first aspect, the acquiring monitoring data of the production equipment in the designated area includes: collecting monitoring data of production equipment through an edge gateway; and the number of the first and second groups,

the execution indication information of the emergency plan includes at least one of an emergency indicator light, an emergency broadcast, and an emergency plan operation indication.

A second aspect of the present application provides an emergency disposal device comprising:

the acquisition unit is used for acquiring monitoring data of the production equipment in a specified area;

the determining unit is used for determining a corresponding emergency plan based on a decision tree algorithm according to the monitoring data;

the first positioning unit is used for positioning the fault equipment associated with the emergency plan from the production equipment in the building information model of the designated area to obtain fault equipment positioning information;

the second positioning unit is used for positioning personnel related to the emergency plan in the building information model of the designated area to obtain personnel positioning information;

and the indicating unit is used for sending out the execution indicating information of the emergency plan according to the fault equipment positioning information and the personnel positioning information.

As a possible implementation manner of the second aspect, the determining unit is configured to:

presetting an early warning threshold corresponding to the monitoring data;

As a possible implementation manner of the second aspect, the first positioning unit is configured to:

As a possible implementation manner of the second aspect, the apparatus further includes a presentation unit, and the presentation unit is configured to:

As a possible implementation manner of the second aspect, the element of interest includes the production apparatus; the non-element of interest comprises a building element; the display unit is used for:

As a possible implementation manner of the second aspect, the second positioning unit is configured to:

As a possible implementation manner of the second aspect, the second positioning unit is further configured to:

As a possible implementation manner of the second aspect, the second fingerprint information includes a signal strength of at least one predetermined position in a grid divided within the designated area;

the second positioning unit is further configured to: and under the condition that the difference value between the radio frequency identification data and the signal strength of the preset position in the second fingerprint information is minimum, determining the preset position in the second fingerprint information as the position of the personnel associated with the emergency plan outdoors.

As a possible implementation manner of the second aspect, the acquisition unit is configured to: collecting monitoring data of production equipment through an edge gateway; and the number of the first and second groups,

A third aspect of the present application provides a computing device comprising:

a communication interface;

at least one processor coupled with the communication interface; and

at least one memory coupled to the processor and storing program instructions that, when executed by the at least one processor, cause the at least one processor to perform the method of any of the first aspects.

A fourth aspect of the present application provides a computer readable storage medium having stored thereon program instructions which, when executed by a computer, cause the computer to perform the method of any of the first aspects described above.

These and other aspects of the invention will be apparent from and elucidated with reference to the embodiment(s) described hereinafter.

Drawings

The various features and the connections between the various features of the present invention are further described below with reference to the attached figures. The figures are exemplary, some features are not shown to scale, and some of the figures may omit features that are conventional in the art to which the application relates and are not essential to the application, or show additional features that are not essential to the application, and the combination of features shown in the figures is not intended to limit the application. In addition, the same reference numerals are used throughout the specification to designate the same components. The specific drawings are illustrated as follows:

fig. 1 is a schematic diagram of an embodiment of an emergency disposal method according to an embodiment of the present disclosure;

fig. 2 is a schematic system architecture diagram of an emergency disposal method according to an embodiment of the present application;

fig. 3 is a schematic diagram of a decision tree flow-driven emergency disposal method according to an embodiment of the present disclosure;

fig. 4 is a schematic diagram illustrating an embodiment of an emergency disposal method according to an embodiment of the present disclosure;

fig. 5 is a diagram illustrating the effect of personnel search and rescue and evacuation and escape in an embodiment of the emergency disposal method according to the present application;

fig. 6 is a schematic diagram of a shortest path algorithm according to an embodiment of the emergency disposal method provided in the embodiment of the present application;

fig. 7 is a three-dimensional visualization effect diagram of a BIM lightweight model of the emergency disposal method provided in the embodiment of the present application;

fig. 8 is a schematic diagram illustrating an embodiment of an emergency disposal method according to an embodiment of the present disclosure;

fig. 9 is a schematic view of an escape indicating device of an emergency disposal method according to an embodiment of the present application;

fig. 10 is a schematic diagram of a grid layout of a wlan AP and an RFID reader/writer in an emergency disposal method according to an embodiment of the present application;

fig. 11 is a schematic diagram illustrating an embodiment of an emergency disposal method according to an embodiment of the present disclosure;

fig. 12 is a schematic diagram illustrating an embodiment of an emergency disposal method according to an embodiment of the present disclosure;

fig. 13 is a schematic diagram illustrating an embodiment of an emergency disposal method according to an embodiment of the present disclosure;

fig. 14 is a schematic diagram of an embodiment of an emergency disposal device provided in an embodiment of the present application;

fig. 15 is a schematic diagram of an embodiment of an emergency disposal device provided in an embodiment of the present application;

fig. 16 is a schematic diagram of a computing device provided in an embodiment of the present application.

Detailed Description

The terms "first, second, third and the like" or "module a, module B, module C and the like in the description and in the claims, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order, it being understood that specific orders or sequences may be interchanged where permissible to effect embodiments of the present application in other than those illustrated or described herein.

In the following description, reference to reference numerals indicating steps, such as S110, S120 … …, etc., does not necessarily indicate that the steps are performed in this order, and the order of the preceding and following steps may be interchanged or performed simultaneously, where permissible.

The term "comprising" as used in the specification and claims should not be construed as being limited to the contents listed thereafter; it does not exclude other elements or steps. It should therefore be interpreted as specifying the presence of the stated features, integers, steps or components as referred to, but does not preclude the presence or addition of one or more other features, integers, steps or components, and groups thereof. Thus, the expression "an apparatus comprising the devices a and B" should not be limited to an apparatus consisting of only the components a and B.

Reference in the specification to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the invention. Thus, appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment, but may. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments, as would be apparent to one of ordinary skill in the art from this disclosure.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. In the case of inconsistency, the meaning described in the present specification or the meaning derived from the content described in the present specification shall control. In addition, the terminology used herein is for the purpose of describing embodiments of the present application only and is not intended to be limiting of the present application. To accurately describe the technical content in the present application and to accurately understand the present invention, terms used in the present specification are given the following explanation or definition before describing the specific embodiments:

1) building Information model (Building Information Modeling, BIM): is a new tool for architecture, engineering and civil engineering. It is used to describe the computer aided design mainly based on three-dimensional figure, object guide and building engineering. The building information model represents the elements in the real world that are used to construct buildings in digitized building elements.

2) Geographic Information System (Geographic Information System GIS): the system is a technical system for collecting, storing, managing, operating, analyzing, displaying and describing relevant geographic distribution data in the whole or partial earth surface (including the atmosphere) space under the support of a computer hardware and software system.

3) The Global Positioning System (GPS) is a high-precision radio navigation Positioning System based on artificial earth satellites, which can provide accurate geographic position, vehicle speed and precise time information anywhere in the world and in the near-earth space.

4) Real-time kinematic (RTK) algorithm: the method is a difference method for processing the observed quantity of the carrier phases of two measuring stations in real time, and the carrier phases acquired by a reference station are sent to a user receiver for calculating the coordinates by calculating the difference. RTK is a new and commonly used satellite positioning measurement method. The former static, fast static and dynamic measurement needs to be solved afterwards to obtain the centimeter-level precision, while the RTK is a measurement method capable of obtaining the centimeter-level positioning precision in real time in the field. The method adopts a carrier phase dynamic real-time difference method, and is a great milestone for GPS application. The appearance of the method provides a new measuring principle and method for engineering lofting and terrain mapping and various control measurements, and greatly improves the operating efficiency.

5) Radio Frequency Identification (RFID): the principle is that non-contact data communication is carried out between the reader and the tag, so that the aim of identifying the target is fulfilled. The RFID is one of automatic identification technologies, and performs non-contact bidirectional data communication in a radio frequency manner, and reads and writes a recording medium (an electronic tag or a radio frequency card) in a radio frequency manner, thereby achieving the purpose of identifying an object and exchanging data.

6) Wireless Local Area Network (WLAN): the wireless communication technology is used for interconnecting computer equipment to form a network system which can communicate with each other and realize resource sharing. The wireless local area network is essentially characterized in that a communication cable is not used for connecting a computer with a network, but the computer is connected in a wireless mode, so that the network construction and the terminal movement are more flexible.

7) Wireless Access Point (Wireless Access Point, Wireless AP): a wireless switch for a wireless network is the core of the wireless network. The wireless AP is an access point for a mobile computer user to enter a wired network, is mainly used in broadband families, buildings and parks, and can cover dozens of meters to hundreds of meters. The wireless AP is a broad name, and includes not only a simple wireless access point, but also a generic name of devices such as a wireless router (including a wireless gateway and a wireless bridge).

8) Service Set Identifier (SSID): the SSID technology can divide a wireless local area network into a plurality of sub-networks which need different authentication, each sub-network needs independent authentication, and only users who pass the authentication can enter the corresponding sub-network, so that unauthorized users are prevented from entering the network.

9) Media Access Control Address (MAC Address): is an address used to identify the location of the network device. The MAC address is used to uniquely identify a network card in the network, and if one or more network cards exist in a device, each network card needs to have a unique MAC address.

10) World Wide Web (WEB): also known as the world wide web, is a hypertext Transfer Protocol (HTTP) -based, global, dynamically interactive, cross-platform, distributed graphical information system.

The prior art method is described first, and then the technical solution of the present application is described in detail.

The prior art is as follows: at present, enterprises and factories implement emergency management and rescue command by relying on traditional means such as paper emergency plans, telephone scheduling, emergency drilling and the like in the process of emergency daily management and handling of emergency accidents, an effective informatization method is lacked to support emergency management work, effective management and scientific scheduling of emergency resources are difficult to guarantee, and timeliness of rescue command, linkage of emergency operation and real-time information interaction during emergency accidents are difficult to guarantee.

The prior art has the following defects: the emergency on-duty response is slow; rescue teams, resources and equipment cannot be reasonably and scientifically monitored, scheduled and effectively shared in real time; the operability of the paper emergency plan is poor, and the disposal process cannot be effectively checked and continuously perfected; when an accident occurs, disaster relief information cannot be transmitted in time, so that the accident cannot be effectively controlled at the first time, secondary disasters are caused, economic losses of the accident are further enlarged, and even casualties occur.

Based on the technical problems in the prior art, the application provides an emergency disposal method. According to the embodiment of the application, the corresponding emergency plan is determined based on the decision tree algorithm according to the monitoring data, emergency disposal is started in a flow-driven mode of the emergency plan, the emergency plan can be started in time under the condition that the monitoring data have problems, and the problem of slow response of emergency on duty can be avoided. In addition, the embodiment of the application positions the fault equipment and personnel related to the emergency plan based on the building information model, and sends out the execution indication information of the emergency plan according to the fault equipment positioning information and the personnel positioning information. In the processing process, the execution indication information of the emergency plan is sent out in time on the basis of positioning, the real-time property of information interaction and the linkage of emergency operation are guaranteed, and the problems of untimely information transmission and unreasonable resource scheduling can be avoided. Due to the fact that the real-time property of information interaction and the linkage property of emergency operation are guaranteed, information can be interacted among all equipment, modules and personnel in real time in the emergency disposal process, an emergency plan can be smoothly executed, and the problem that the disposal process cannot be effectively checked and continuously completed in the prior art can be solved.

Fig. 1 is a schematic diagram of an embodiment of an emergency disposal method according to an embodiment of the present disclosure. As shown in fig. 1, the emergency disposal method may include:

step S110, collecting monitoring data of production equipment in a designated area;

step S120, determining a corresponding emergency plan based on a decision tree algorithm according to the monitoring data;

step S130, in the building information model of the specified area, positioning the fault equipment associated with the emergency plan from the production equipment to obtain fault equipment positioning information;

step S140, positioning personnel related to the emergency plan in the building information model of the designated area to obtain personnel positioning information;

and S150, sending out execution indication information of the emergency plan according to the fault equipment positioning information and the personnel positioning information.

The designated area in the embodiment of the present application may be an area where an enterprise or a factory is located, or may be an area where a garden or a building is located. The designated area can be set according to the actual demand of emergency treatment, a building information model of the designated area is constructed, and emergency treatment is implemented on the basis of the building information model.

Specifically, in step S110, monitoring data collected by the production equipment may be received. For example, pressure data of the production facility is collected using a pressure sensor provided in the production facility. For another example, a power analyzer disposed on the motor is used to collect electrical signals of the motor. The electrical signal may be current and voltage data.

In step S120, the monitoring data collected in step S110 is input into a decision tree algorithm, and an emergency plan to be executed for the monitoring data is output by using the decision tree algorithm. Wherein, a decision tree algorithm can be constructed in advance according to the condition of starting the emergency plan. In one example, to avoid a potential safety hazard due to excessive motor current, an emergency protocol may be initiated in the event of excessive motor current. The emergency plan operation can be to cut off the power supply and send early warning prompt information to related personnel for maintaining the motor. In this example, the decision tree algorithm may be to initiate a corresponding contingency plan if the current of the motor is greater than 30A.

Executing the emergency plan first requires locating the faulty equipment and personnel associated with the emergency plan. For example, in the above example, it is first necessary to locate the motor with excessive current and the personnel involved in servicing the motor. On the basis of positioning, the emergency plan operation of cutting off the power supply and sending early warning prompt information to related personnel can be implemented. In the embodiment of the application, the building information model of the designated area can be constructed in advance. And accurately positioning the fault equipment and personnel associated with the emergency plan by using the building information model.

The elements constituting the building information model may include a plurality of production facilities, building elements, persons, and the like. In step S130, it is necessary to locate the faulty equipment from the multiple production equipments in the building information model, and obtain the location information of the faulty equipment in the building information model, that is, the faulty equipment location information. In step S140, it is necessary to locate the person associated with the emergency plan in the building information model, and obtain the position information of the associated person in the building information model, that is, the person location information.

In step S150, according to the faulty equipment location information and the personnel location information obtained in steps S130 and S140, the execution instruction information of the emergency plan is sent to the faulty equipment and the associated personnel. For example, sending out execution instruction information to the motor, and instructing the motor to automatically cut off the power supply; and sending early warning prompt information to related personnel for maintaining the motor, and indicating the related personnel to execute the maintenance operation of the motor.

According to the embodiment of the application, the fault equipment and personnel related to the emergency plan are positioned based on the building information model, emergency disposal is started in a flow-driven mode of the emergency plan, the real-time performance of information interaction and the linkage performance of emergency operation can be guaranteed, and the timeliness and effectiveness of the emergency disposal are guaranteed.

Fig. 2 is a schematic system architecture diagram of an emergency disposal method according to an embodiment of the present application. As shown in fig. 2, an embodiment of the present application provides an emergency disposal method based on 5G edge calculation and building information model BIM. Taking emergency treatment of a plant as an example, the emergency treatment system may include the following subsystems: the system comprises a BIM three-dimensional visual factory emergency management subsystem, an emergency data acquisition control rescue escape subsystem and a personnel indoor and outdoor positioning subsystem based on a heterogeneous network grid fingerprint database. By adopting the system, the related work of carrying out factory emergency management by taking an emergency plan flow as a drive can be realized, and the emergency rescue and command scheduling based on BIM three-dimensional visualization can be realized. The emergency disposal method provided by the embodiment of the application utilizes an informatization means to promote factory safety production and promote a high-level deep combination process of enterprise informatization and industrialization.

The functions of each subsystem in the emergency disposal system are as follows:

(1) BIM three-dimensional visual factory emergency management subsystem

The method can be operated on a 5G edge server or an X86 server, and mainly realizes the compilation of factory emergency plans and the emergency intelligent management flow driving based on a decision tree algorithm. The data reported by the escape subsystem is controlled by monitoring the emergency rescue data in real time, so that the emergency intelligent management process is driven.

The edge server is a server disposed close to the edge side relative to the central server, and can provide edge computing services. The central server refers to a server which is deployed in a cloud distributed mode and comprises a software and hardware system. The centralized data processing mode of cloud computing increases the bandwidth occupation of data transmission and increases the storage and computing load pressure of the central server. In addition, for an application scenario with a high requirement on time delay, a data processing mode of cloud computing hardly meets the requirement of application. The method can effectively reduce the occupation of data transmission on bandwidth in the scene of the Internet of things by utilizing an edge calculation mode, and simultaneously reduce the storage and calculation load pressure on a central server. In the embodiment of the application, the real-time performance of information interaction and the linkage of emergency operation can be guaranteed by utilizing the edge computing service, and the timeliness and effectiveness of emergency disposal are guaranteed.

In the embodiment of the application, the early warning threshold corresponding to each monitoring data can be preset. Wherein, the early warning threshold is also called threshold. And when the monitoring data exceeds the early warning threshold value, determining a corresponding emergency plan by using a decision tree algorithm, and executing corresponding emergency measures. For example, emergency broadcasting, SCADA (Supervisory Control And Data Acquisition) production equipment linkage Control, power supply equipment linkage, fire fighting equipment linkage, And the like. The light-weight three-dimensional BIM model can be quickly constructed for the overall appearance, buildings, production workshops and production equipment of a factory area in advance, and one-key positioning of a hazard source, WEB SCADA equipment configuration diagram viewing control and monitoring video viewing are realized on the basis of the BIM model and a 3D GIS map, so that people are guided to evacuate, escape and search and rescue work.

(2) Emergency data acquisition control rescue escape subsystem

Collecting data through a 5G edge gateway, providing the data to a BIM three-dimensional visual factory emergency management subsystem for storage, and developing analysis through an algorithm; meanwhile, a control instruction from the BIM three-dimensional visual factory emergency management subsystem is received and transmitted to relevant equipment by the 5G edge gateway to realize an emergency management and control function. The pass-through, i.e. transparent transmission, is responsible for transmitting the transmitted content from the source address to the destination address without any change to the content of the service data, regardless of the content of the transmitted service in the communication.

(3) Indoor and outdoor personnel positioning subsystem based on heterogeneous network grid fingerprint database

The BIM three-dimensional visual factory emergency management subsystem is provided with indoor and outdoor personnel positioning data based on a heterogeneous network grid fingerprint database, and personnel evacuation, escape and rescue work is carried out.

Referring to fig. 1 and 2, in the embodiment of the present application, the production equipment in step S110 may include the production processing equipment 2.3, the power equipment 2.4, the fire fighting equipment 2.5, the temperature and humidity sensor 2.6, and the smoke sensor 2.7 in fig. 2. In this embodiment of the present application, the production equipment is monitored in step S110, and monitoring data from the production equipment is collected. In step S120, a decision tree algorithm is used to determine whether the monitored data reaches an early warning threshold. And if the monitoring data reach the early warning threshold value, starting a corresponding emergency plan.

The emergency disposal system integrates informatization means and emergency plans through a BIM three-dimensional visual factory emergency management subsystem, an emergency data acquisition control rescue escape subsystem and a heterogeneous network grid fingerprint library-based personnel indoor and outdoor positioning subsystem, so that the related work of carrying out factory emergency rescue by taking emergency plan flows as drives is realized, and the timeliness, the linkage and the information interaction of rescue commands in the emergency accident handling and disposal process are guaranteed. The emergency rescue and command scheduling based on BIM three-dimensional visualization is realized, and the timeliness, effectiveness and scientificity of emergency rescue and daily drilling are guaranteed.

Referring to fig. 1 and 2, the functions of the modules of the subsystems in the emergency disposal system are as follows:

BIM three-dimensional visual factory emergency management subsystem

The BIM three-dimensional visual factory emergency management subsystem can comprise the following sub-modules: 1.1 compiling red, yellow and blue emergency plan and judgment rules, 1.2 emergency intelligent management flow driving based on a decision tree algorithm, 1.3SCADA production equipment linkage, 1.4 power supply equipment linkage, 1.5 fire fighting equipment linkage, 1.6 rescue dialing 119, 1.7 emergency broadcasting, 1.8 rescue goods and materials issuing and management, 1.9 dangerous one-key positioning, 1.10 personnel search and rescue, 1.11 personnel evacuation and escape, 1.12BIM component management, 1.13BIM three-dimensional visualization, 1.14 three-dimensional (3D) GIS, 1.15 monitoring video retrieval, 1.16 database and 1.17 reserved three-party interfaces.

The specific implementation steps of the functions of each module are as follows:

1.1 compile Red-yellow-blue Emergency plan and decision rule

The embodiment of the application provides a judgment rule suitable for enterprises to carry out red, orange, yellow and blue emergency management. Wherein, red, orange, yellow and blue are used as classifications to represent the severity grade of the emergency. See table 1.1, red events indicate fires, the most severe emergency; the blue event indicates that equipment failure which does not affect production occurs and is the emergency with the lowest severity. Enterprises can compile emergency plan starting conditions and specified operations according to self needs, and adopt a mode of emergency intelligent management process engine driving based on a decision tree algorithm to realize approval and specified operations on each emergency management node.

TABLE 1.1 example of red, yellow and blue emergency plans and rules for decision making

1.2 Emergency Intelligent management flow driver based on decision Tree Algorithm

Fig. 3 is a schematic diagram of a decision tree flow driver of an emergency disposal method according to an embodiment of the present application. As shown in fig. 3, the embodiment of the application integrates an informatization means and an emergency plan, so that the compiling of the factory emergency plan and the emergency intelligent management flow driving based on the decision tree algorithm are realized, and the emergency disposal is started in the flow driving manner of the emergency plan.

Fig. 4 is a schematic diagram of an embodiment of an emergency disposal method according to an embodiment of the present disclosure. As shown in fig. 4, in an embodiment, in step S120 in fig. 1, determining a corresponding emergency plan based on a decision tree algorithm according to the monitoring data may specifically include:

step S410, presetting an early warning threshold corresponding to the monitoring data;

step S420, determining an emergency plan corresponding to the early warning threshold value under the condition that the monitoring data is greater than or equal to the early warning threshold value.

Referring to fig. 3, fig. 4 and table 1.1, taking a red event as an example, in step S410, thresholds corresponding to data reported by the smoke sensor and data reported by the temperature and humidity sensor may be preset. In step S420, when at least one of the data reported by the smoke sensor and the data reported by the temperature and humidity sensor reaches a preset threshold, the decision event is output as a red event, and an emergency plan corresponding to the red event is output. Meanwhile, the alarm can be triggered to send out the execution indication information of the emergency plan.

In still another example, referring to fig. 3 and 4, a threshold corresponding to an alarm duration period may be preset in step S410. In step 420, when the alarm duration period reaches the preset threshold, the corresponding decision event and emergency plan are output. Meanwhile, the alarm can be triggered to send out the execution indication information of the emergency plan.

The embodiment of the application provides an emergency intelligent management process engine drive based on a decision tree algorithm, and the examination and approval and the execution of specified operations on each emergency management node are realized. Monitoring data reported by a sensor in real time based on a decision tree algorithm, and intelligently executing corresponding emergency measures when the monitoring data exceeds an early warning threshold value. For example, emergency broadcasting, SCADA production equipment linkage control, power supply equipment linkage and fire fighting equipment linkage ensure the timeliness and linkage of rescue command and the real-time of information interaction when an emergency accident occurs.

1.3SCADA production and processing equipment linkage

And according to the enterprise red, yellow and blue emergency management plan and the judgment rule, based on the judgment result of the decision tree algorithm, the linkage SCADA production equipment is driven to execute corresponding emergency measures through the emergency intelligent management flow.

1.4 Power supply linkage

And driving the linkage power supply equipment to execute corresponding emergency measures through an emergency intelligent management flow based on a decision result of a decision tree algorithm according to the enterprise red, yellow and blue emergency management plan and decision rules.

1.5 linkage of fire-fighting equipment

And driving the linkage fire-fighting equipment to execute corresponding emergency measures through an emergency intelligent management flow based on a decision result of a decision tree algorithm according to the enterprise red, yellow and blue emergency management plan and decision rules.

1.6 rescue dialing 119

And driving intelligent dialing 119 rescue calls through an emergency intelligent management flow according to the enterprise red, yellow and blue emergency management plan and judgment rules and the judgment result based on the decision tree algorithm.

1.7 Emergency broadcast

According to the enterprise red, yellow and blue emergency management plan and the judgment rule, based on the judgment result of the decision tree algorithm, a Development Kit (SDK) is called through the emergency intelligent management flow drive to carry out emergency broadcasting.

1.8 rescue materials distribution and management

According to the enterprise red, yellow and blue emergency management plan and the judgment rule, based on the judgment result of the decision tree algorithm, the linkage inventory system is driven through the emergency intelligent management flow to output the statistical result of the emergency material inventory, and the emergency management group issues the emergency materials.

1.9 dangerous one-touch location

And (3) positioning the dangerous source judged by the application of the 1.2 emergency intelligent management process drive based on the decision tree algorithm to the dangerous source and the fault equipment in a BIM (building information modeling) model by one key. In the emergency disposal process, related personnel can click the peripheral camera model in the BIM model, and look up the dangerous source and the fault equipment through the monitoring video called by the SDK.

1.10 search and rescue of people

Based on the personnel positioning information output by the '3. heterogeneous network grid fingerprint database-based personnel indoor and outdoor positioning subsystem'. The latest personnel positioning information can be displayed on a BIM (building information modeling) model and a 3D GIS (three-dimensional geographic information system) map through a personnel searching function. Fig. 5 is a diagram illustrating the effect of personnel search and rescue and evacuation and escape in an embodiment of the emergency disposal method according to the embodiment of the present application. Referring to fig. 5, the basic information and the person positioning information of the party can be viewed in the overhead person information billboard to guide the search and rescue work of the person. In addition, related personnel can also perform personnel searching and positioning through the search bar. The system plans an escape route for the evacuee based on the shortest path algorithm.

In addition, related personnel can connect the handheld ultrahigh frequency RFID reader-writer to the system at any time, and the RFID tags of the persons in distress are scanned by the handheld RFID reader-writer to carry out quasi-real-time positioning search and rescue.

1.11 evacuation and escape of people

Based on the latest personnel positioning information output by the '3. heterogeneous network grid fingerprint database-based personnel indoor and outdoor positioning subsystem', the shortest path algorithm is used for guiding the concerned person to the nearest difficult points to avoid, such as the mining underground refuge chamber. And meanwhile, an escape instruction is sent to a 2.2 escape indicator lamp with emergency broadcasting for acousto-optic broadcasting, so that the personnel are guided to evacuate and rapidly escape from the accident site.

Fig. 6 is a schematic diagram of a shortest path algorithm according to an embodiment of the emergency disposal method provided in the embodiment of the present application. The shortest path algorithm is used to compute the shortest path from one node to all other nodes. The shortest path algorithm is mainly characterized in that the algorithm is expanded layer by layer from the starting point as the center to the outer layer until the algorithm is expanded to the end point. For example, the Dijkstra's Algorithm (Dijkstra) is a shortest path Algorithm. The optimal solution of the shortest path can be obtained by utilizing Dijkstra algorithm.

1.12BIM component management

BIM building component management can edit components (elements) that build a BIM model, providing add, delete, and modify operations. For example, the attributes of the BIM components are set and modified, and then directly stored in a 3D GIS _ BIM model (3D GIS _ bimodel) table of the 1.16 database.

1.13BIM three-dimensional visualization

The specific presentation mode of the building information model in the embodiment of the present application may be a BIM three-dimensional visualization model. A1 mm:1mm BIM three-dimensional visualization model can be constructed based on a factory environment and equipment Design Computer Aided Design (CAD) drawing. The BIM three-dimensional visualization model can comprise three-dimensional models of elements such as plants, workshops, production equipment, cameras, personnel and the like.

Fig. 7 is a three-dimensional visualization effect diagram of a BIM lightweight model of the emergency disposal method provided in the embodiment of the present application. The three-dimensional model of the element is shown in the circle in fig. 7. Referring to fig. 7, in the BIM three-dimensional visualization model, a clickable camera model calls an SDK to view a corresponding monitoring video; equipment can be clicked, an embedded WEB SCADA configuration diagram window is popped above the equipment, the running state of the equipment can be checked in real time, and corresponding production equipment can be controlled in real time; when the WEB SCADA monitoring equipment is abnormal, a red circle alarm can be sent out on the equipment model. Under the condition, the WEB SCADA configuration diagram can be clicked and opened for viewing, and the execution indication information of the emergency plan related to the alarm can also be viewed.

In the embodiment of the application, the device and the configuration diagram can be modeled facing to the elements which are focused on safety production during BIM modeling. In addition, non-critical factors such as buildings and the like can be simplified in the modeling process, and a lightweight three-dimensional model is constructed.

Referring to fig. 7, in one embodiment, the method further comprises:

The elements constituting the building information model may be classified into an attention element and a non-attention element according to the degree of attention to the elements constituting the building information model. Wherein the element of interest may comprise production equipment; the non-attention elements may include architectural elements. In the emergency disposal process, related personnel pay attention to production equipment which may influence safe production and bring potential safety hazards, and the attention degree to relatively safe building elements is low. Therefore, in the embodiment of the application, the detail information of the production equipment is presented in detail in the building information model. And weakening the presentation mode of the building elements and not presenting the detailed information of the building elements.

Referring to fig. 7, in one embodiment, the element of interest comprises the production apparatus; the method further comprises the following steps:

displaying monitoring data of the production equipment based on predetermined operation of the production equipment in the building information model; and displaying the execution indication information of the emergency plan based on the predetermined operation of the fault equipment.

In the emergency disposal process, relevant personnel pay more attention to production equipment in the building information model, such as production and processing equipment, electric power equipment, fire fighting equipment, temperature and humidity sensors, smoke sensors and the like. Under the condition that the monitoring data of the production equipment reaches a preset threshold value, potential safety hazards may occur, and therefore detailed and comprehensive detailed information of the production equipment needs to be presented in the building information model. In fig. 7, for the production apparatus, a monitoring video, an operation state, and execution instruction information of the relevant emergency plan, and the like can be viewed.

Referring to fig. 7, in one embodiment, the non-attention element comprises a construction element; the method further comprises the following steps:

the non-attention elements are presented in a transparent and/or regularly shaped manner.

During emergency treatment, the building elements are of less interest to the relevant personnel. The building elements may include buildings, rooms, plants, workshops, etc. The construction element has a relatively small impact on the safety production, so that no detailed information of the construction element needs to be presented in the construction information model. In fig. 7, the building elements are only represented in transparent regular shapes. For example, fig. 7 shows a lightweight three-dimensional BIM model constructed by a transparent rectangular parallelepiped or other transparent three-dimensional model of a regular shape to represent each building in a factory.

In the embodiment of the application, the lightweight three-dimensional BIM model is adopted to display elements in the building information model, the detailed information of the concerned elements is displayed in a key mode, and the detailed information of the non-concerned elements is weakened. The information presentation mode enables key information to be highlighted, so that relevant personnel can check key information influencing safety production more conveniently and intuitively, and execution efficiency of emergency disposal is effectively improved.

1.143D GIS map

In the embodiment of the application, a CAD graph can be designed based on a factory environment and equipment, and a BIM three-dimensional visualization model with the diameter of 1mm to 1mm is constructed by utilizing the CAD graph. Specifically, the BIM model may be generated from CAD drawings. And (3) guiding the components in the CAD graph into elements in the BIM by using plug-ins in the CAD software, thereby realizing the indoor and outdoor integration of the BIM and the 3D GIS map. Furthermore, function development based on a 3D GIS map frame, such as function development of space distance, area measurement and the like, can be realized on the basis of the integrated model, and roaming navigation scene browsing based on absolute coordinates can also be realized.

Fig. 8 is a schematic diagram of an embodiment of an emergency disposal method according to an embodiment of the present disclosure. As shown in fig. 8, in an embodiment, in step S130 in fig. 1, in the building information model of the specified area, locating a faulty device associated with the emergency plan from the production device to obtain faulty device locating information may specifically include:

step S810, converting production equipment in the building information model of the specified area into geographic elements in a geographic information system;

step S820, positioning the fault equipment associated with the emergency plan from the production equipment by using the geographic elements.

Two-dimensional or three-dimensional GIS maps typically manage and present geographic information in the form of layers. In the embodiment of the application, the data of the BIM model such as attributes, elevation points, terrain and the like can be stored in a three-dimensional space database table, and after deviation rectification alignment is carried out based on a WGS-84 coordinate system, the BIM model is converted into a geographic element in a 3D GIS map, so that complete spatial fusion of the BIM model and the 3D GIS map is realized. On the 3D GIS map fused with the BIM model, the geographical elements can be utilized to position the fault equipment associated with the emergency plan from the production equipment. On the basis, basic element functions such as zooming, 360-degree rotation viewing and the like can be realized.

In one example, a 3D GIS map may be custom layer displayed. For layers, a single element may also display its attributes, such as the type, ID, name, model ID, etc. of the layer. In a 3D GIS map, attributes such as layer loading priority, transparency, longitude and latitude and the like can be adjusted online, and layer objects after positions are manually adjusted can be stored and stored in a warehouse.

1.15 monitoring video retrieval

In the module, a camera three-dimensional model can be clicked to call the SDK provided by the video monitoring platform, and the corresponding monitoring video is checked. The SDK is responsible for all network interaction of the platform and completes media processing such as streaming, framing, decoding, rendering and the like.

1.16 database

The database mainly realizes the storage of real-time data reported by the emergency data acquisition control rescue escape subsystem sensor and personnel positioning information reported by the personnel indoor and outdoor positioning subsystem based on the heterogeneous network grid fingerprint database.

1.17 reserved three-party interface

The system reserves various interfaces to realize data sharing and interaction with other application software, and opens data service by at least one of File Transfer Protocol (FTP), Secure File Transfer Protocol (SFTP) and Web service. Applications both within and outside the system can access the shared data through an Open Application Programming Interface (Open API). The Open API may include a synchronous interface and an asynchronous interface.

2. Emergency data acquisition control rescue escape subsystem

The emergency data acquisition control rescue escape subsystem can comprise the following sub-modules: 2.15G edge gateway, 2.2 take emergency broadcast's escape indicator, 2.3 production and processing equipment, 2.4 power equipment, 2.5 fire-fighting equipment, 2.6 temperature and humidity sensor, 2.7 smoke transducer.

2.15G edge gateway

In the emergency data acquisition control rescue escape subsystem, data are acquired through a 5G edge gateway and are provided for a BIM three-dimensional visual factory emergency management subsystem to be stored in a warehouse, and analysis is carried out by utilizing an algorithm. On the other hand, the emergency data acquisition control rescue escape subsystem receives a control instruction from the BIM three-dimensional visual factory emergency management subsystem, and the control instruction is transmitted to relevant equipment by the 5G edge gateway to realize emergency control.

In an embodiment, the step S110 in fig. 1, acquiring monitoring data of the production equipment in the designated area specifically includes:

and collecting monitoring data of the production equipment through the edge gateway.

Referring to fig. 2 again, the 5G edge gateway collects data of production and processing equipment, electric power equipment, fire fighting equipment, smoke sensors, temperature and humidity sensors, and escape indicator light devices with emergency broadcasts, and reports the data to the "1. BIM three-dimensional visual factory emergency management subsystem" for storage through Message Queue Telemetry Transport (MQTT) protocol after protocol conversion processing, and performs analysis by using an algorithm. In addition, a control instruction from the 1.BIM three-dimensional visual factory emergency management subsystem is transmitted to relevant equipment by the 5G edge gateway to realize emergency management and control.

The 5G edge gateway supports modbus communication, RS-232 communication, RS-485 communication, Highway Addressable Remote Transducer (HART) communication, multi-Point Interface (MPI) communication, PROcess BUS (PROFIBUS) communication, industrial ethernet, Actuator-Sensor-Interface (ASI) communication, Point-to-Point Interface (PPI) communication, Remote wireless communication, Transmission Control Protocol (TCP), User Datagram Protocol (UDP), and industrial data acquisition of protocols such as S7.

2.2 Emergency broadcast indicating lamp

In one embodiment, the execution indication information of the emergency plan includes at least one of an emergency indicator light, an emergency broadcast, and an emergency plan operation indication.

The emergency indicator lamps can include escape indicator lamps for indicating escape routes, status indicator lamps for giving early warning information and the like.

Fig. 9 is a schematic view of an escape indicating device of the emergency disposal method according to the embodiment of the present application. As shown in fig. 9, an embodiment of the present application provides an escape indicator light device with an emergency broadcast, which is used for receiving an escape instruction issued by a "1.11 people evacuation and escape" application to perform an acousto-optic broadcast, so as to guide people to evacuate and rapidly escape from an accident site. In fig. 9, the intelligent main control unit of the escape indicator light device is connected with the gateway through an RS232/485 interface and/or a WIFI interface. A power supply in the escape indicator light device is used for supplying power to the intelligent main control unit, the escape indicator light and the emergency broadcast horn. The intelligent main control unit receives a control instruction from the BIM three-dimensional visual factory emergency management subsystem from the gateway, and instructs the escape indicator lamp and the emergency broadcast horn to perform sound and light broadcast according to the control instruction.

In another example of emergency disposal, to avoid potential safety hazard caused by excessive current of the motor, an emergency plan may be started when the current of the motor is excessive, and the emergency plan may be operated by cutting off the power supply and sending warning prompt information to related personnel who maintain the motor. In this example, the execution instruction information of the emergency plan may include an emergency plan operation instruction. For example, an indication of the execution of the emergency protocol is sent to the malfunctioning device and associated personnel. Specifically, execution instruction information can be sent to the motor to instruct the motor to automatically cut off the power supply; and sending early warning prompt information to related personnel for maintaining the motor, and indicating the related personnel to execute the maintenance operation of the motor.

2.3 production and processing equipment

The device is used for receiving a command issued by the application of '1.3 SCADA production equipment linkage' to start and stop the equipment, and replacing fault equipment in time by field workers to quickly recover production.

2.4 Power equipment

The power supply switching device is used for receiving a command issued by the application of '1.4 power supply equipment linkage' to switch power supplies and timely restoring production by manually removing faults on site.

2.5 fire fighting equipment

The fire fighting equipment is used for receiving a command issued by the application of '1.5 fire fighting equipment linkage' to start fire fighting equipment, and can put out fire danger in time with related departments after the power supply is manually cut off on site.

2.6 temperature and humidity sensor

The temperature and humidity sensor is connected to a 5G edge gateway for real-time collection, temperature and humidity sensing data are reported to a 1.BIM three-dimensional visual factory emergency management subsystem for storage, and analysis is carried out by utilizing an algorithm.

2.7 Smoke Sensors

The smoke sensor is accessed to a 5G edge gateway for real-time collection, smoke sensing data is reported to a 1.BIM three-dimensional visual factory emergency management subsystem for storage, and analysis is carried out by utilizing an algorithm.

3. Indoor and outdoor personnel positioning subsystem based on heterogeneous network grid fingerprint database

The personnel indoor and outdoor positioning subsystem provides personnel indoor and outdoor positioning data based on a fingerprint database for the BIM three-dimensional visual factory emergency management subsystem. The personnel indoor and outdoor positioning subsystem may include the following sub-modules: 3.1 based on the indoor and outdoor positioning algorithm of the heterogeneous network grid fingerprint database, 3.2 mobile phone APP capturing GPS + WLAN signals to construct a grid fingerprint database, and 3.3 outdoor RFID + GPS positioning to construct the grid fingerprint database.

3.1 indoor and outdoor personnel positioning algorithm based on heterogeneous network grid fingerprint database

GPS is generally used for outdoor positioning, and due to the influence of GPS satellites, satellite signal propagation processes and ground receiving equipment, civil GPS measurement results have certain errors, for example, the errors may reach 10-20 meters. Therefore, the GPS measurements need to be corrected before they can be used. And, influenced by building depth and metal shielding, there is GPS signal blind area indoor. Aiming at the problems existing in GPS positioning, the embodiment of the application provides a personnel indoor and outdoor positioning algorithm based on a heterogeneous network grid fingerprint database. In the algorithm, the indoor positions of the personnel can be positioned by combining a WLAN grid fingerprint library with cosine similarity positioning, the outdoor positions of the personnel can be positioned by combining an RFID grid fingerprint library with shortest space distance positioning, and the personnel can be positioned by using a mobile phone GPS (global positioning system) corrected positioning mode. In one embodiment, if there are three positioning results of the calibrated GPS, WLAN, and RFID at the same time, the personnel positioning information of the personnel is preferentially assigned as the longitude and latitude and the height of the calibrated GPS.

The indoor and outdoor positioning algorithm for the personnel based on the heterogeneous network grid fingerprint database can specifically comprise the following steps:

(1) firstly, dividing the whole factory area into three-dimensional grids on a 3D GIS map as a basic layer for constructing a grid fingerprint database, wherein each grid has a unique ID. For example, the entire factory floor can be divided into a three-dimensional grid of 3m in length, 3m in width, and 3m in height.

(2) And the WLAN network is installed indoors in the building for assisting production and positioning of the indoor fingerprint database. In one example, wireless APs for positioning (WLAN _ APs) may be installed every 6 meters, and the transmit power of each wireless AP is reasonably controlled to cover a three-dimensional grid of 43 m x 3 m. A schematic layout of the wlan _ AP and RFID reader grid is shown in fig. 10. A plurality of WLAN _ APs can be arranged indoors, and the WLAN _ APs can be installed in a ceiling antenna mode; a plurality of RFID readers are arranged outdoors, and the RFID readers can be installed by means of infrastructures such as outdoor lamp posts.

(3) The RFID reader scans the RFID tags of passing personnel and outputs measurement data which are shown in a table 1.2. In one example, RFID readers for positioning may be installed every 6 meters outside the factory floor. Each RFID reader covers 43 m by 3m three-dimensional grids.

TABLE 1.2 RFID tag output measurement data

(4) Newly developing or transforming the existing plant APP, and adding interfaces for capturing the mobile phone model, the GPS information and the WALN AP SSID + AP signal strength information. And the data in the report 1.3 on the interface is sent to an emergency disposal system for constructing and correcting the GPS information of the WLAN grid fingerprint database, so that personnel positioning is realized.

TABLE 1.3 GPS and WALN information reported by Mobile Phone APP

(5) And (4) constructing indoor grid WLAN fingerprint database characteristics by field measurement.

Fig. 11 is a schematic diagram of an embodiment of an emergency disposal method according to an embodiment of the present application. As shown in fig. 11, in an embodiment, in step S140 in fig. 1, locating, in the building information model of the designated area, a person associated with the emergency plan to obtain person location information may specifically include:

step S1110, utilizing a real-time dynamic measurement algorithm to correct the first positioning data of the positioning system;

step S1120, positioning the personnel associated with the emergency plan by using the calibrated first positioning data when receiving the second positioning data of the positioning system reported by the personnel through the application program.

Wherein the positioning system may comprise the global positioning system GPS. The GPS positioning data measured by the mobile phone has an error, and therefore, the GPS positioning data needs to be corrected. The first positioning data of the positioning system may include: and in the process of calibration, the mobile phone at a certain position measures the GPS positioning data. In step S1110, the first positioning data of the positioning system may be calibrated using a real-time kinematic RTK algorithm.

The second positioning data of the positioning system may comprise: and the personnel associated with the emergency plan report GPS positioning data through the mobile phone application program APP. In step S1120, in the emergency procedure, when the second positioning data is received, the corrected first positioning data at the same position corresponding to the second positioning data is acquired, and the person associated with the emergency plan is positioned by using the corrected first positioning data. The above algorithm for positioning by using the corrected GPS signal may be referred to as a "GPS corrected positioning algorithm".

In one example, the grid center of a GPS signal can be searched at a door or window of a building to be used as an anchor point, and the longitude and the height of the anchor point are measured by a handheld RTK algorithm high-precision GPS. And comparing the data measured by the handheld RTK algorithm high-precision GPS with the GPS positioning data measured by the mobile phone to obtain the offset distance. By using the offset distance, the error correction can be carried out on the positioning data measured by the GPS of the mobile phone. For other grids, the longitude and latitude of the center point of other grids can be calculated by utilizing the longitude and latitude of the anchor point and the offset distance measured by the GPS of the mobile phone.

Sample characteristics for constructing the indoor grid WLAN fingerprint library are shown in table 1.4. In one example, within a partitioned 3m x 3m grid, WLAN _ AP signals may be measured in the field using a WLAN handheld tester with built-in high precision GPS and maps.

TABLE 1.4 construction of indoor grid WLAN fingerprint library profiles

(6) And (4) constructing outdoor grid RFID _ GPS fingerprint database characteristics by field measurement.

The characteristics of the outdoor grid RFID _ GPS fingerprint database are constructed as shown in the table 1.5. In one example, 5 test points are selected within a partitioned 3m x 3m grid. Including 1 grid center and 4 grid vertices. Aiming at the 5 test points, the longitude and latitude and the height of the test points, the intensity of radio waves emitted by the RFID tags and the tag ID can be measured by using a handheld RTK algorithm high-precision GPS, and the characteristics of an outdoor grid RFID _ GPS fingerprint library are constructed.

TABLE 1.5 construction of outdoor grid RFID _ GPS fingerprint library features

(7) And matching and positioning algorithm of cosine similarity of the indoor WLAN grid.

Fig. 12 is a schematic diagram of an embodiment of an emergency disposal method according to an embodiment of the present application. As shown in fig. 12, in one embodiment, the method further comprises:

step S1210, comparing the information of the wireless local area network signal with the first fingerprint information in a fingerprint database by using a cosine similarity algorithm under the condition that the second positioning data is not received and the wireless local area network signal reported by the personnel through an application program is received;

step S1220, according to the comparison result, positioning the indoor location of the personnel associated with the emergency plan.

In the embodiment of the application, under the condition that the second positioning data is received, the corrected first positioning data at the same position corresponding to the second positioning data is preferentially adopted to position the personnel. And under the condition that the second positioning data is not received, if the position of the person is indoor, a wireless local area network signal reported by the person through the application program APP can be received. In this case, the person can be located from the wireless local area network signal.

In an embodiment of the present application, the first fingerprint information may include sample fingerprint information in an indoor grid WLAN fingerprint library.

In one example, the WLAN signal reported by the person through the application may include a WLAN _ AP signal level reported by the mobile APP. The cosine similarity calculation method can be used for calculating the cosine similarity value between the WLAN _ AP signal level reported by the mobile phone APP and the sample fingerprint information in the indoor grid WLAN fingerprint database. In the cosine similarity algorithm, the difference between two individuals is measured by the cosine similarity value of two included angles. The closer the cosine similarity value is to 1, the closer the included angle is to 0 deg., i.e. the more similar the two vectors are. The algorithm implementation is shown in table 1.6. In one example, in the case that the cosine similarity value is greater than 0.8, the longitude, latitude and height of the grid center point in the sample fingerprint information in the corresponding fingerprint library are obtained, and the longitude, latitude and height are assigned to the corresponding person positioning information. The formula of the cosine similarity algorithm is as follows:

wherein x is_iAnd y_iRespectively, two vectors are represented, and cos (theta) represents the cosine similarity value of the two vectors.

TABLE 1.6 example of indoor WLAN grid cosine similarity matching positioning algorithm

(8) And (4) an outdoor RFID grid shortest space distance positioning algorithm.

Fig. 13 is a schematic diagram of an embodiment of an emergency disposal method according to an embodiment of the present application. As shown in fig. 13, in one embodiment, the method further comprises:

step S1310, comparing the radio frequency identification data with second fingerprint information in a fingerprint database when the second positioning data is not received and the radio frequency identification data is received;

step S1320, according to the comparison result, positioning the position of the personnel associated with the emergency plan outdoors.

In one embodiment, the second fingerprint information includes signal strength of at least one predetermined position in a grid divided within the designated area;

step S1320, according to the comparison result, positioning the outdoor location of the personnel associated with the emergency plan, which may specifically include: and under the condition that the difference value between the radio frequency identification data and the signal strength of the preset position in the second fingerprint information is minimum, determining the preset position in the second fingerprint information as the position of the personnel associated with the emergency plan outdoors.

In the embodiment of the application, under the condition that the second positioning data is received, the corrected first positioning data at the same position corresponding to the second positioning data is preferentially adopted to position the personnel. And under the condition that the second positioning data is not received, if the position of the person is outdoors, the radio frequency identification data transmitted by the RFID tag of the person can be received. In this case, the person may be located based on the radio frequency identification data.

In an embodiment of the present application, the second fingerprint information may include sample fingerprint information in an outdoor grid RFID _ GPS fingerprint database.

In one example, the signal strength in the radio frequency identification data transmitted by the person's RFID tag is only 1 value. The predetermined position of the grid in the second fingerprint information may include 5 test points preset in the grid. And (3) respectively subtracting the signal intensity values in the radio frequency identification data transmitted by the RFID tags of the personnel from the signal levels of 5 reference samples corresponding to the 5 test points of the grids in the second fingerprint information to obtain the spatial distance. And assigning the reference sample position information with the minimum absolute value of the spatial distance to the positioning information of the RFID label of the person as the person positioning information. In the embodiment of the present application, the above algorithm may be referred to as an "outdoor RFID grid shortest spatial distance location algorithm," and the implementation process of the algorithm is shown in table 1.7.

TABLE 1.7 example of an outdoor RFID grid shortest spatial distance location algorithm

In Table 1.7, the signal strength in the RFID data transmitted by the RFID tag of user 1 is-60. In the second fingerprint information, the signal intensities of 5 test points of the sample fingerprint with ID grid00001 are respectively: the signal strength of the center point sample is-67, the signal strength of the top left vertex sample is-50, the signal strength of the bottom left vertex sample is-60, the signal strength of the top right vertex sample is-83, and the signal strength of the bottom right vertex sample is-84. The RFID tag transmission signal strength of user 1 is compared to the signal strength of the 5 test points of the sample fingerprint. The results of the alignment were: the difference between the signal strength of the lower left vertex sample and the signal strength in the RFID data transmitted by the RFID tag of user 1 is minimal. Therefore, the position of the lower left vertex of the grid corresponding to the sample fingerprint with ID grid00001 is determined as the person positioning information of user 1.

In one example, the same clock may be used for the handset APP and the outdoor RFID location system, and the sampling frequency setting is the same, e.g., 1 mm. By adopting the method, the same user can be positioned through three heterogeneous networks formed by three signals of GPS, WLAN and RFID at the same time. And the priority of the GPS can be set to be highest, namely the GPS signals are preferentially utilized to realize personnel positioning. In order to solve the problem that errors exist in the civil GPS, testing different types of mobile phones and handheld RTK algorithm high-precision GPS in a factory area at the same position respectively, and establishing different types of mobile phones and high-precision GPS to correct offset distances. By using the offset distance, the error correction can be carried out on the positioning data measured by the GPS of the mobile phone. And if three positioning results corresponding to the corrected GPS, WLAN and RFID exist at the same time, the personnel positioning information of the user is preferentially assigned as the longitude and latitude and the height of the corrected GPS.

3.2 cell-phone APP catches GPS + WLAN signal and constructs grid fingerprint storehouse

Each wireless AP has a globally unique MAC address, and the mobile phone can scan and collect surrounding AP signal level values and the MAC addresses of the wireless APs under the condition that the WLAN is started. In one example, the top 10 WLAN SSIDs with the strongest signal levels may be selected for establishing the WLAN raster fingerprint vector according to the measurement results reported by the handset APP. The method can be used for increasing an interface for capturing the mobile phone model, the GPS information, the WALN _ AP _ SSID, the AP _ MAC address and the AP signal strength information through newly developing or transforming the existing factory APP, reporting related data to an emergency disposal system through the interface, and constructing and correcting the GPS information of an indoor grid WLAN fingerprint library to realize personnel positioning.

3.3 outdoor RFID positioning and grid fingerprint database construction

The embodiment of the application adopts the RFID wireless radio frequency identification technology, and the RFID electronic tag information is read and written through the wireless radio frequency sent by the RFID reader-writer, so that the purposes of identifying the target and exchanging data are realized. In one example, RFID readers for positioning may be installed every 6 meters outside the factory floor, i.e., each RFID reader covers 43 m x 3m three-dimensional grids. The RFID reader scans the RFID tags of passing personnel, outputs related measurement data and is used for positioning by utilizing an outdoor grid RFID _ GPS fingerprint database at an outdoor position.

In summary, the embodiment of the present application provides a person indoor and outdoor positioning algorithm based on a heterogeneous network grid fingerprint database. In the algorithm, an indoor WLAN grid cosine similarity matching positioning algorithm, an outdoor RFID grid shortest space distance positioning algorithm and a GPS proofreading positioning algorithm are combined. Personnel are positioned by utilizing an indoor and outdoor positioning algorithm, so that the problems that a GPS signal blind area exists in a building and a civil GPS measurement result has error positioning inaccuracy can be effectively solved, and the accuracy of personnel positioning information is improved. On the basis of accurately acquiring the personnel positioning information, the execution indication information of the emergency plan can be sent to relevant personnel in time, and the execution efficiency of the emergency plan is improved.

As shown in fig. 14, the present application also provides a corresponding embodiment of an emergency treatment device, and for beneficial effects or technical problems to be solved by the emergency treatment device, reference may be made to descriptions in methods respectively corresponding to the devices, or to descriptions in the summary of the invention, and details are not repeated here.

In an embodiment of the emergency disposal device, the device comprises:

an acquisition unit 1410, configured to acquire monitoring data of the production equipment in a specified area;

a determining unit 1420, configured to determine, according to the monitoring data, a corresponding emergency plan based on a decision tree algorithm;

the first positioning unit 1430 is configured to position, in the building information model of the designated area, the faulty equipment associated with the emergency plan from the production equipment to obtain faulty equipment positioning information;

the second positioning unit 1440 is configured to position, in the building information model of the designated area, the person associated with the emergency plan to obtain person positioning information;

an indicating unit 1450, configured to send execution indication information of the emergency plan according to the fault device location information and the staff location information.

In one embodiment, the determining unit 1420 is configured to:

presetting an early warning threshold corresponding to the monitoring data;

In one embodiment, the first positioning unit 1430 is configured to:

As shown in fig. 15, in one embodiment, the apparatus further comprises a display unit 1510, the display unit 1510 being configured to:

In one embodiment, the element of interest comprises the production device; the non-element of interest comprises a building element; the display unit 1510 is used for:

In one embodiment, the second positioning unit 1440 is configured to:

In one embodiment, the second positioning unit 1440 is further configured to:

the second positioning unit 1440 is further configured to: and under the condition that the difference value between the radio frequency identification data and the signal strength of the preset position in the second fingerprint information is minimum, determining the preset position in the second fingerprint information as the position of the personnel associated with the emergency plan outdoors.

In one embodiment, the acquisition unit 1410 is configured to: collecting monitoring data of production equipment through an edge gateway; and the number of the first and second groups,

Fig. 16 is a schematic structural diagram of a computing device 900 provided in an embodiment of the present application. The computing device 900 includes: a processor 910, a memory 920, and a communication interface 930.

It is to be appreciated that the communication interface 930 in the computing device 900 shown in fig. 16 can be used to communicate with other devices.

The processor 910 may be connected to the memory 920. The memory 920 may be used to store the program codes and data. Therefore, the memory 920 may be a storage unit inside the processor 910, an external storage unit independent of the processor 910, or a component including a storage unit inside the processor 910 and an external storage unit independent of the processor 910.

Optionally, computing device 900 may also include a bus. The memory 920 and the communication interface 930 may be connected to the processor 910 through a bus. The bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc.

It should be understood that, in the embodiment of the present application, the processor 910 may employ a Central Processing Unit (CPU). The processor may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. Or the processor 910 may employ one or more integrated circuits for executing related programs to implement the technical solutions provided in the embodiments of the present application.

The memory 920 may include a read-only memory and a random access memory, and provides instructions and data to the processor 910. A portion of the processor 910 may also include non-volatile random access memory. For example, the processor 910 may also store information of the device type.

When the computing device 900 is running, the processor 910 executes the computer-executable instructions in the memory 920 to perform the operational steps of the above-described method.

It should be understood that the computing device 900 according to the embodiment of the present application may correspond to a corresponding main body for executing the method according to the embodiments of the present application, and the above and other operations and/or functions of each module in the computing device 900 are respectively for implementing corresponding flows of each method of the embodiment, and are not described herein again for brevity.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

The present embodiments also provide a computer-readable storage medium, on which a computer program is stored, the program being used for executing a diversification problem generation method when executed by a processor, the method including at least one of the solutions described in the above embodiments.

The computer storage media of the embodiments of the present application may take any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Computer program code for carrying out operations for aspects of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).

It should be noted that the foregoing is only illustrative of the preferred embodiments of the present application and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present application has been described in more detail with reference to the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention.

Claims

1. An emergency disposal method, comprising:

collecting monitoring data of production equipment in a designated area;

2. The method of claim 1, wherein determining, from the monitoring data, a corresponding contingency plan based on a decision tree algorithm comprises:

presetting an early warning threshold corresponding to the monitoring data;

3. The method according to claim 1 or 2, wherein locating the faulty equipment associated with the emergency plan from the production equipment in the building information model of the designated area to obtain faulty equipment locating information comprises:

4. The method according to claim 1 or 2, characterized in that the method further comprises:

5. The method of claim 4, wherein the element of interest comprises the production equipment; the non-element of interest comprises a building element; the method further comprises the following steps:

6. The method according to claim 1 or 2, wherein locating the personnel associated with the emergency plan in the building information model of the designated area to obtain personnel location information comprises:

7. The method of claim 6, further comprising:

8. The method according to claim 7, wherein the second fingerprint information includes signal strength of at least one predetermined position in a grid divided within the designated area;

9. The method according to claim 1 or 2,

collecting monitoring data of production equipment in a designated area, comprising: collecting monitoring data of production equipment through an edge gateway; and the number of the first and second groups,

10. An emergency disposal device, comprising:

11. A computing device, comprising:

a communication interface;

at least one processor coupled with the communication interface; and

at least one memory coupled to the processor and storing program instructions that, when executed by the at least one processor, cause the at least one processor to perform the method of any of claims 1-9.

12. A computer-readable storage medium having stored thereon program instructions, which, when executed by a computer, cause the computer to perform the method of any of claims 1-9.