Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides an emergency comprehensive management application platform, wherein an internet of things platform, a data center platform and an emergency command platform are arranged in a system, the internet of things platform is used for collecting videos of emergency prevention and control places and identifying alarm conditions according to the videos, relevant early warning data are sent to the data center platform and the emergency command platform, and the emergency command platform is used for displaying the early warning data, reporting the alarm conditions and generating emergency plans, so that the alarm conditions can be rapidly found and reported to relevant processing personnel, the emergency prevention and control speed is improved, the processing personnel can conveniently obtain detailed information of the alarm conditions, the effectiveness of emergency prevention and control is ensured, the processing effect is good, and the current requirements of emergency prevention and control are met.
In order to solve the above problems, the present invention adopts a technical solution as follows: an emergency integrated management application platform, comprising: the system comprises an Internet of things platform, an emergency command platform and a data center platform, wherein the Internet of things platform is respectively in communication connection with the emergency command platform and the data center platform, the Internet of things platform acquires video information of a preset place, identifies an alarm according to the video information, generates early warning data comprising the alarm, and respectively sends the early warning data to the emergency command platform and the data center platform, wherein the early warning data comprises the type of the alarm, the place where the alarm occurs and acquisition equipment information of the alarm video; the data center platform receives and stores the early warning data and prestores emergency rescue information, wherein the emergency rescue information comprises information of all acquisition equipment in a preset place and information of emergency rescue personnel; the emergency command platform receives and displays the early warning data on a map, acquires the warning condition level corresponding to the early warning data, reports the warning condition and generates an emergency plan according to the warning condition level and the early warning data, pushes information to related personnel corresponding to the early warning data through an input instruction and emergency rescue information, and acquires and displays an emergency rescue image of the site.
Further, the step of identifying the alert according to the video information specifically includes: the Internet of things platform receives the video collected by the collecting equipment, carries out image recognition on the video, and judges whether an emergency warning situation or a preset alarm signal exists according to an image recognition result.
Further, the step of generating the early warning data including the warning condition specifically includes: and the Internet of things platform carries out Redis transaction flow processing on the data of the alarm condition to generate early warning data.
Further, the emergency comprehensive management application platform further comprises a monitoring center, the monitoring center is connected with the data center platform, the data center platform analyzes and summarizes the early warning data, and sends the monitoring video corresponding to the early warning data to the monitoring center.
Further, after the step of receiving and map-displaying the early warning data by the emergency command platform, the method further comprises the following steps: and receiving an input call instruction, and calling the monitoring video corresponding to the early warning data in the monitoring center according to the call instruction.
Further, the step of obtaining the warning situation level corresponding to the warning data specifically includes: and acquiring the alarm level according to a preset alarm level rule and an input level instruction.
Further, the step of reporting the alarm according to the alarm level and the early warning data specifically includes: and acquiring a reporting object according to the early warning data and the alarm level, inquiring the reporting mode of the reporting object, and reporting the alarm according to the reporting mode.
Further, the step of generating an emergency plan according to the warning situation level and the warning data specifically includes: judging whether the warning situation level is not less than a preset value; if yes, acquiring the warning condition type corresponding to the warning data, and generating an emergency plan according to the warning condition type; if not, selecting emergency treatment personnel and generating an emergency plan according to the input instruction.
Further, the step of pushing information to the associated person corresponding to the early warning data through the input instruction specifically includes: inquiring the emergency rescue personnel related to the alarm condition and the information pushing method of the emergency rescue personnel from a data center platform according to an input inquiry instruction, selecting related personnel from the emergency rescue personnel based on an input selection instruction, and pushing information to the related personnel through the information pushing method.
Further, the step of collecting and displaying emergency rescue images of the site further comprises, before the step of: and searching conference personnel and constructing a video conference platform according to the input conference information, and receiving and recording the video conference information.
Compared with the prior art, the invention has the beneficial effects that: the system is provided with the Internet of things platform, the data center platform and the emergency command platform, the Internet of things platform is used for collecting videos of emergency prevention and control places and recognizing alarm conditions according to the videos, relevant early warning data are sent to the data center platform and the emergency command platform, the early warning data are displayed through the emergency command platform, alarm conditions are reported and emergency plans are generated, the alarm conditions can be found and reported to relevant processing personnel quickly, the emergency prevention and control speed is improved, the processing personnel can acquire detailed information of the alarm conditions conveniently, the effectiveness of emergency prevention and control is guaranteed, the processing effect is good, and the current requirements of emergency prevention and control are met.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and the detailed description, and it should be noted that any combination of the embodiments or technical features described below can be used to form a new embodiment without conflict.
Referring to fig. 1-2, fig. 1 is a structural diagram of an emergency integrated management application platform according to an embodiment of the present invention; fig. 2 is a schematic diagram of information transmission according to an embodiment of the emergency integrated management application platform of the present invention. The emergency integrated management application platform of the invention is explained in detail with reference to fig. 1-2.
In this embodiment, the emergency integrated management application platform includes: the system comprises an Internet of things platform, an emergency command platform and a data center platform, wherein the Internet of things platform is respectively in communication connection with the emergency command platform and the data center platform, the Internet of things platform acquires video information of a preset place, identifies an alarm according to the video information, generates early warning data comprising the alarm, and respectively sends the early warning data to the emergency command platform and the data center platform, wherein the early warning data comprises the type of the alarm, the place where the alarm occurs and acquisition equipment information of the alarm video; the data center platform receives and stores the early warning data and prestores emergency rescue information, wherein the emergency rescue information comprises information of all acquisition equipment in a preset place and information of emergency rescue personnel; the emergency command platform receives and displays the early warning data on a map, acquires the warning condition level corresponding to the early warning data, reports the warning condition and generates an emergency plan according to the warning condition level and the early warning data, pushes information to associated personnel corresponding to the early warning data according to the input instruction and the emergency rescue information, and collects and displays an emergency rescue image of a place corresponding to the warning condition.
In this embodiment, the acquisition devices are cameras, wherein ad hoc networks among the acquisition devices communicate in wireless or wired communication manners such as bluetooth, WiFi, lora, GSM, GRPS, 3G, 4G-LTE, and 5G, and a local area network formed by the ad hoc networks is connected with the platform of the internet of things. The Internet of things platform is in communication connection with the emergency command platform and the data center platform through a public network (3G/4G/5G) or a private network (satellite).
In other embodiments, the collecting device may further include an environmental detection sensor such as an anemometer or a thermometer, and a device capable of collecting information related to an alarm condition such as an on-board recording device.
In this embodiment, the preset place is an emergency prevention and control place, and includes areas that need emergency prevention and control, such as a government, a school, a hospital, an emergency place, a water station, a power station, a gas station, a supermarket, and a hotel. One or more cameras are distributed in a preset place, the Internet of things platform shoots a video image of the preset place through the camera, and the video image is subjected to image recognition to recognize the warning situation.
The step of identifying the warning condition according to the video information specifically comprises the following steps: the Internet of things platform receives the video collected by the collecting equipment, carries out image recognition on the video, and judges whether an emergency warning situation exists or an alarm signal is preset according to an image recognition result.
In this embodiment, the alert condition includes an emergency alert condition or a preset alert signal, where the emergency alert condition may be an emergency situation that needs to be quickly handled, such as a flood, an earthquake, a house collapse, and an automobile collision, and the preset alert signal may be a preset alert signal such as an SOS flag, a distress sound or a distress gesture of an emergency person, and a fire alert signal.
In this embodiment, the step of generating the early warning data including the warning condition specifically includes: and the Internet of things platform performs Redis transaction flow processing on the data of the alarm condition to generate early warning data. After the internet of things platform recognizes the alarm, all data related to the alarm (such as information of acquisition equipment for shooting the alarm, the occurrence time of the alarm, the occurrence place, all videos of the alarm and the like) are acquired, and the data are gathered together to generate early warning data.
In this embodiment, the data center platform records the name of each acquisition device, the principal information of the responsible person and the contact way of different preset locations, the longitude and latitude of the preset locations, and the like, and also stores the information of emergency rescue units and rescue departments at different levels (such as police, fire fighting, armed police, hospitals, and government emergency command centers), the contact way, and the information of emergency plans corresponding to different alert situation categories and alert situation levels. And providing corresponding information according to the command sent by the emergency command platform.
After the Internet of things platform acquires the early warning data, the early warning data are respectively sent to the data center platform and the emergency command platform through the Internet or the local area network.
In other embodiments, the internet of things platform can also continuously acquire video information of the acquisition device in which the alarm occurs after recognizing the alarm and generating the early warning data, and send the video information to the data center platform so as to provide reference for subsequent emergency treatment.
The emergency comprehensive management application platform further comprises a monitoring center, the monitoring center is connected with the data center platform, the data center platform analyzes and summarizes the early warning data, and sends the monitoring video corresponding to the early warning data to the monitoring center. And providing rescue reference for commanders of the emergency command platform by using the monitoring video of the monitoring center.
After the emergency command platform receives the early warning data, the position of the alarm is determined according to the place information in the early warning data, and the alarm is displayed at the corresponding position of the map in the screen, so that a processor can visually know the place of the alarm.
The warning condition newly appearing on the map can remind relevant processing personnel of paying attention to the warning condition in a color marking, flashing and voice prompting mode.
In a specific embodiment, the emergency command platform integrates a map of an emergency control area, and for the convenience of reminding, the alarm condition on the map is displayed on a screen of the emergency command platform in a flashing manner.
In this embodiment, the step of receiving and map-displaying the early warning data by the emergency command platform further includes: and receiving an input call instruction, and calling the monitoring video corresponding to the early warning data in the monitoring center according to the call instruction. The monitoring video can be displayed on the same screen with a map for displaying the alarm condition, the data center platform can also send information of emergency rescue personnel related to the alarm condition according to an instruction of the emergency command platform, and the emergency command platform displays the information on a screen after receiving the information, so that the processing personnel can select the personnel for pushing the information conveniently.
The step of obtaining the warning situation level corresponding to the warning data specifically comprises the following steps: and acquiring the alarm level according to a preset alarm level rule and an input level instruction.
In this embodiment, the classification instruction may be obtained by manual screening, and the alert level may be determined according to the classification instruction. And information such as the alarm category, the occurrence place, the occurrence time, the occurrence range, the danger degree and the like in the early warning data can be acquired. And acquiring the alarm level according to the matching result of the information and the alarm decomposition rule.
In this embodiment, the step of reporting the alert condition by the alert condition level and the alert data specifically includes: and acquiring a reporting object according to the early warning data and the alarm level, inquiring the reporting mode of the reporting object, and reporting the alarm according to the reporting mode.
In this embodiment, the step of collecting and displaying the emergency rescue image of the site further includes: and searching conference personnel and constructing a video conference platform according to the input conference information, and receiving and recording the video conference information.
In a specific embodiment, after the alarm reporting object is obtained, the associated personnel in the emergency rescue personnel can be inquired from the data center platform according to the alarm level, the alarm category and the occurrence place, and video conference link is generated between the associated personnel and the reporting object, so that a video conference is performed according to the video conference link, and the alarm processing speed is increased.
The steps of generating the emergency plan according to the alarm condition level and the early warning data specifically comprise: judging whether the warning situation level is not less than a preset value; if yes, acquiring the warning condition type corresponding to the warning data, and generating an emergency plan according to the warning condition type; if not, selecting emergency treatment personnel and generating an emergency plan according to the input instruction.
In a specific embodiment, the preset value is a fourth level of alarm, and when the alarm reaches the fourth level, the emergency command platform automatically queries from the data center platform according to the alarm category and generates a related emergency plan. And sending the emergency plan to related personnel of the video conference, so that the related personnel can carry out the conference and command rescue work according to the emergency plan.
In other embodiments, the emergency command platform may also set a task processing mode of emergency rescue personnel at different posts when the emergency rescue personnel are in the alarm condition according to the level of the alarm condition, automatically insert an important task or a sudden task into a business process being executed by the emergency rescue personnel, and send an emergency task prompt to the personnel executing the important task or the sudden task; and (4) carrying out importance recombination on the emergency response task reminders, and adjusting the sequence of the business process under different alarm levels and different working characteristics of emergency rescue personnel, thereby improving the flexibility and pertinence of the business process. And carrying out emergency task reminding aiming at different early warning signals. And setting task allocation modes of emergency rescue workers in different posts in emergency states according to the types of the alarms, the corresponding processing modes and the alarm levels.
In this embodiment, the step of pushing information to the associated person corresponding to the warning data through the input instruction specifically includes: the method comprises the steps of inquiring about alarm condition-related emergency rescue personnel and information pushing methods of the emergency rescue personnel from a data center platform according to an input inquiry instruction, selecting the related personnel from the emergency rescue personnel based on an input selection instruction, and pushing information to the related personnel through the information pushing methods.
In this embodiment, information can be pushed to the associated person through APP pushing, telephone pushing, short message pushing, mail pushing, broadcast pushing, and other manners.
In this embodiment, the emergency rescue image is an image shot by the unmanned aerial vehicle, in other embodiments, the emergency rescue platform may be further connected to the monitoring center, acquire an image of the monitoring center and an acquisition device related to an emergency rescue location, and display the image to the video conference staff, so as to provide decision information for the conference staff.
In the above embodiment, the emergency command platform may further perform classified collection statistics on the execution status of the whole service process from the occurrence of an alarm condition to the resolution of the alarm condition, and generate a daily, weekly, monthly and yearly process statistical report, where the process statistical report may collect information, assigned tasks, task completion time, task completion conditions, and the like of emergency rescue personnel, thereby facilitating summary analysis and decision-making on the service process in each time period, continuously improving the execution level of the service process, and improving the work efficiency.
Has the advantages that: the emergency comprehensive management application platform is provided with the Internet of things platform, the data center platform and the emergency command platform, the Internet of things platform is used for collecting videos of emergency prevention and control places and recognizing alarm conditions according to the videos, relevant early warning data are sent to the data center platform and the emergency command platform, the emergency command platform displays the early warning data, reports the alarm conditions and generates emergency plans, the alarm conditions can be found and reported to relevant processing personnel quickly, the emergency prevention and control speed is improved, the processing personnel can obtain detailed information of the alarm conditions conveniently, the effectiveness of emergency prevention and control is guaranteed, the processing effect is good, and the current requirements of emergency prevention and control are met.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.