CN106790515A - A kind of anomalous event processing system and its application process - Google Patents

Abstract

The invention discloses an abnormal event processing system and an application method thereof, comprising a plurality of distributed processing terminals for preliminary data collection and preprocessing; the distributed processing terminals are connected to a cloud server with autonomous processing capability, and the cloud server is used for The data uploaded by the distributed processing terminal is stored, analyzed and processed; the cloud server is connected with a manual processing terminal; and the distributed processing terminal is also connected with a mobile terminal. The invention has strong data collection capability, can quickly process abnormal events, and can analyze and predict upcoming abnormal events according to data.

Description

An abnormal event processing system and its application method

technical field

The invention relates to an event processing system, in particular to an abnormal event processing system and an application method thereof.

Background technique

For scenic spots, parks, factories, commercial areas and other places, some unexpected events are often prone to occur. For this type of event, it is usually dealt with after being discovered by monitoring personnel or by on-site personnel. Since the on-site personnel are not fixed, it is impossible to guarantee that every time an abnormal event occurs, there will be personnel on the scene to find it. However, there are blind spots in the monitoring, and the number of monitoring personnel is limited, so it is impossible to detect the abnormal event in time, which will cause the processing personnel to fail in the first time. Obtain relevant information, thereby delaying the time of event processing, eventually leading to missing the best time to handle the event, resulting in heavy losses or casualties; at the same time, the existing devices can only perform corresponding actions according to the event after the event occurs. The processing mechanism cannot analyze and predict what is about to happen. Therefore, the existing technology has the problems of weak data collection capability, slow processing speed of abnormal events, and inability to analyze and predict upcoming abnormal events.

Contents of the invention

The object of the present invention is to provide an abnormal event processing system and its application method. It has strong data collection capabilities, can quickly deal with abnormal events, and can analyze and predict upcoming abnormal events based on data.

The technical solution of the present invention: an abnormal event processing system, including a plurality of distributed processing terminals, the distributed processing terminals are connected to cloud servers with autonomous processing capabilities, and the cloud servers are connected to manual processing terminals; the distributed processing terminals also connected to a mobile terminal;

The distributed processing terminal is used for the collection and preprocessing of preliminary data;

The cloud server is used to store, analyze and process the data uploaded by the distributed processing terminal;

The manual processing terminal is used to manually process the data uploaded by the cloud server.

In the aforementioned abnormal event processing system, the cloud server supports convergence and training of collected data and data in the cloud server database, so that the cloud server has the functions of autonomous learning, autonomous identification and autonomous emergency response.

In the aforementioned abnormal event processing system, the distributed processing terminal is a combination of image processing devices, video and image acquisition devices, sensor networks, emergency input devices, lighting, communication systems or positioning devices; The emergency input device includes an emergency button, a voice recognition device or emergency software on a mobile terminal.

In the aforementioned abnormal event processing system, the distributed processing terminal is mounted on a public facility; an intermediate node or a mobile base station is provided between the distributed processing terminal and the cloud server.

In the foregoing abnormal event processing system, the distributed processing terminal performs data interaction with the cloud server and the mobile terminal via a wired network, a wireless network or a BLE network.

An application method of an abnormal event processing system, comprising the following steps: a. Data collection: collect signals through distributed processing terminals, including images, wireless data and sensing signals;

b. Data pre-processing: the distributed processing terminal has self-processing capability, conducts preliminary processing and judgment on the collected data, and selects favorable data for uploading;

c. Data interaction: return favorable data to the central node or mobile base station, and then transmit it to the cloud server for data processing and instruction interaction;

d. Judgment of abnormal event type: the cloud server judges the abnormal event type as triggering abnormal event input or identifying abnormal event input according to the input data;

e. Handling: The cloud server performs a corresponding abnormal event processing mechanism according to the type of abnormal event;

The abnormal event processing mechanism includes an automatic early warning mechanism, a broadcast push mechanism and an alarm mechanism.

In the above-mentioned application method of an abnormal event processing system, the identification abnormal event described in step d is processed in the following way: the cloud server will further identify the on-site data and implement a corresponding abnormal event processing mechanism.

In the above-mentioned application method of an abnormal event processing system, the processing method of the triggered abnormal event described in step d is: the cloud server judges the type of the triggered abnormal event according to the trigger condition to be a key-triggered event, a voice-triggered event or a mobile The terminal triggers an event and implements a corresponding abnormal event handling mechanism.

In the application method of the aforesaid abnormal event processing system, the processing method of the button triggering event is: through the cloud server to predict the actual scene through the combination of voice and video; the processing method of the voice triggering event is: through the cloud The server analyzes the voice information, identifies the abnormal event, and performs a corresponding abnormal event processing mechanism; the processing mode of the trigger event input by the mobile terminal emergency software is: through the cloud server according to the trigger condition and information to perform a corresponding abnormal event processing mechanism .

In the aforementioned application method of an abnormal event processing system, the broadcast push mechanism includes the following steps:

(1) The cloud server pushes the event to the mobile terminal of the staff near the place where the abnormal event occurred and the secondary platform;

(2) When the relevant personnel receive the order, the cloud server stops pushing, and transfers the data to the manual processing terminal for manual processing;

(3) When there is no recipient within the set time, expand the push radius, and the cloud server will continue to push;

(4) Within the set push radius, repeat the above steps (1)-(3); when the set push radius is exceeded, stop pushing.

Compared with the prior art, the present invention distributes and arranges several distributed processing terminals on the existing public facilities, which are used to comprehensively collect signals such as image, voice, video, sensor, positioning and emergency input in the designated area , and provide rapid processing services for abnormal events through the cooperation of cloud servers with autonomous processing functions and manual processing terminals; distributed processing terminals have pre-processing capabilities, and can judge and filter the collected preliminary data. The final favorable data is uploaded to the cloud server, which is beneficial to reduce the amount of uploaded data, ensure the smooth operation of the system, and improve the processing speed of the system; through the self-processing function of the cloud server, the collected favorable data can be analyzed, judged and processed , to quickly respond to abnormal events, improve the timeliness of handling public abnormal events, and meet the requirements of smart cities and safe cities. At the same time, by collecting favorable data through distributed processing terminals, and cooperating with the functions of self-learning, self-discrimination and self-emergency of the cloud server, similar abnormal events can be predicted in advance and corresponding processing measures can be made to minimize The impact of this abnormal event realizes the Internet of Things and intelligentization of the system. To sum up, the present invention has strong data collection capabilities, can quickly process abnormal events, and can analyze and predict upcoming abnormal events based on data.

Description of drawings

Fig. 1 is a work flow chart of the present invention;

Fig. 2 is a flowchart of the broadcast push mechanism.

detailed description

The present invention will be further described below in conjunction with the accompanying drawings and examples, but not as a basis for limiting the present invention.

Example. An abnormal event processing system and its application method, composed as shown in Figure 1 and Figure 2, including a plurality of distributed processing terminals, the distributed processing terminals are connected to a cloud server with autonomous processing capabilities, and the cloud server is connected to a manual processing terminal ; The distributed processing terminal is also connected to a mobile terminal;

The distributed processing terminal is used for the collection and preprocessing of preliminary data;

The cloud server is used to store, analyze and process the data uploaded by the distributed processing terminal;

The manual processing terminal is used to manually process the data uploaded by the cloud server.

The cloud server supports convergence and training of the collected data and the data in the cloud server database, and through result feedback and machine learning, the cloud server has the functions of self-learning, self-discrimination and self-emergency.

The distributed processing terminal is a combination of image processing device, video and image acquisition device, sensor network, emergency input device, lighting, communication system or positioning device.

The emergency input device includes an emergency button, a voice recognition device or emergency software on a mobile terminal.

The distributed processing terminal is mounted on a public facility.

The distributed processing terminal performs data interaction with the cloud server and the mobile terminal via a wired network, a wireless network or a BLE network.

An intermediate node or a mobile base station is arranged between the distributed processing terminal and the cloud server.

An application method of an abnormal event processing system, comprising the following steps: a. Data acquisition: collect signals through a distributed processing terminal; b. Data preprocessing: the distributed processing terminal has self-processing capability, and performs preliminary processing on the collected data c. Data interaction: send favorable data back to the central node or mobile base station, and then transmit it to the cloud server for data processing and instruction interaction; d. Judgment of abnormal event type: the cloud server based on The input data determines the abnormal event type as triggering abnormal event input or identifying abnormal event input;

d1. Identifying abnormal events: the cloud server will further identify and process the on-site data;

d2. Triggered abnormal events: the cloud server handles them according to the trigger conditions and reasons;

Button trigger event: the cloud server predicts the actual scene through the combination of voice and video;

Voice-triggered event: The cloud server identifies what kind of abnormal event it is through the analysis of voice information, and implements the corresponding abnormal event processing mechanism;

The triggering event input by the emergency software on the mobile terminal: the cloud server performs a corresponding abnormal event processing mechanism according to the triggering conditions and information; the abnormal event processing mechanism includes an automatic early warning mechanism, a broadcast push mechanism and an alarm mechanism; the broadcast push mechanism includes The following steps: (1), push the event to the mobile terminal of the staff near the place where the abnormal event occurred and the secondary platform; (2), after the relevant personnel receive the order, stop the push, and transfer it to the manual processing terminal for manual processing Operation; (3), when there is no recipient within the set time, expand the push radius, and continue to push; (4), within the set push radius, repeat the steps (1)-(3) above; After the set push radius, stop pushing.

The collected signals in step a include images, wireless data and sensory information.

The working principle of the present invention: the distributed terminal is mounted on street lights or other public facilities to form a distributed infrastructure; the distributed processing terminal performs data interaction with the cloud server through a wired network, a wireless network or a BLE (Bluetooth) network; The data involved are all stored in the database for storage, query and export. After the distributed processing terminal obtains the input information (including images, wireless data and sensing information), it preprocesses the input information, and sends the data back to the central node or mobile base station, and then transmits it to the cloud server for data processing and instruction interaction ; Since the distributed processing terminal can perform pre-judgment, the infrastructure has certain intelligent processing capabilities. After the cloud server receives the uploaded data from the distributed processing terminal, the cloud server judges the type of abnormal event based on the data: if it is an identified abnormal event, the cloud server will further identify and process the on-site data; if it is a triggered abnormal event, the cloud server will The server handles it according to the trigger conditions and reasons: if it is a button trigger, the cloud server will predict the actual scene through the combination of voice and video; if it is a voice trigger, the cloud server will analyze the voice information to identify what kind of abnormal event it is, and Carry out the corresponding abnormal event processing mechanism; if the trigger event is input through the emergency software on the mobile terminal, the cloud server will carry out the corresponding abnormal event processing mechanism according to the trigger conditions and information. The abnormal event processing mechanism includes an automatic early warning mechanism, a broadcast push mechanism, and an alarm mechanism.

The broadcast push mechanism is to push the event to the mobile terminals of the staff near the place where the abnormal event occurred and the secondary platform. The push is pushed according to the distance. According to the classification of abnormal time, the relevant personnel who are close and meet this category will be pushed first. When the relevant personnel accept the order, stop pushing. Transfer to manual processing. When there is no recipient for a period of time T, expand the push radius.

Claims (10)

1. a kind of anomalous event processing system, it is characterised in that：Including multiple distributed treatment terminals, distributed treatment terminal connects The Cloud Server with autonomous disposal ability is connected to, Cloud Server is connected with artificial treatment terminal；The distributed treatment terminal It is also associated with mobile terminal；

The distributed treatment terminal is used for the collection and pretreatment of preliminary data；

The Cloud Server is used to that the data that distributed treatment terminal is uploaded to be stored, analyzed and processed；

The artificial treatment terminal is used to carry out artificial treatment to the data that Cloud Server is uploaded.

2. a kind of anomalous event processing system according to claim 1, it is characterised in that：The Cloud Server is supported to receiving Data in the data and Cloud Server database that collect are restrained and are trained, and Cloud Server is had autonomous learning, from Master distinguishes and independently emergent function.

3. a kind of anomalous event processing system according to claim 1, it is characterised in that：The distributed treatment terminal is Image processing apparatus, video, image acquiring device, sensing network, input unit of meeting an urgent need, illumination, communication system or positioner In various be combined；The emergent input unit includes answering on emergency button, speech recognition equipment or mobile terminal Anxious software.

4. a kind of anomalous event processing system according to claim 1, it is characterised in that：The distributed treatment terminal is taken It is loaded in communal facility；Intermediate node or mobile base station are provided between the distributed treatment terminal and Cloud Server.

5. a kind of anomalous event processing system according to claim 1, it is characterised in that：The distributed treatment terminal warp The mode and Cloud Server and mobile terminal of cable network, wireless network or BLE networks carry out data interaction.

6. the application process of a kind of anomalous event processing system according to claim 1, it is characterised in that：Including following step Suddenly：

A, data acquisition：Signal, including image, wireless data and transducing signal are gathered by distributed treatment terminal；

B, to data prediction：Distributed treatment terminal has from disposal ability, and the data to being collected into carry out preliminary treatment Judge, screen favourable data and uploaded；

C, data interaction：By favourable data back to Centroid or mobile base station, Cloud Server is then reached again carries out data Treatment and instruction interaction；

D, anomalous event type judge：Cloud Server judges that anomalous event type is defeated for trigger-type anomalous event according to input data Enter or the input of recognition type anomalous event；

E, treatment：Cloud Server carries out corresponding anomalous event treatment mechanism according to anomalous event type；

Described anomalous event treatment mechanism includes automatic early-warning mechanism, broadcast push-mechanism and alarming mechanism.

7. the application process of a kind of anomalous event processing system according to claim 6, it is characterised in that：Institute in step d The processing mode of the recognition type anomalous event stated is：Cloud Server further can be identified to field data, and carry out corresponding Anomalous event treatment mechanism.

8. the application process of a kind of anomalous event processing system according to claim 6, it is characterised in that：Institute in step d The processing mode of the trigger-type anomalous event stated is：Cloud Server judges that the type of trigger-type anomalous event is according to trigger condition Button trigger event, speech trigger event or mobile terminal trigger event, and carry out corresponding anomalous event treatment mechanism.

9. the application process of a kind of anomalous event processing system according to claim 8, it is characterised in that：The button is touched The processing mode of hair event is：By Cloud Server by voice, video combine anticipation is carried out to actual field；The voice is touched The processing mode of hair event is：Analysis by Cloud Server to voice messaging, recognizes anomalous event, and carry out corresponding exception Event processing mechanism；The processing mode of the trigger event of mobile terminal emergency software input is：By Cloud Server according to Trigger condition and information carry out corresponding anomalous event treatment mechanism.

10. the application process of a kind of anomalous event processing system according to claim 6, it is characterised in that：The broadcast Push-mechanism is comprised the following steps：

(1), Cloud Server carries out event to the mobile terminal and two grades of platforms of staff near anomalous event scene Push；

(2), after related personnel's order, Cloud Server stops pushing, and data are turned by artificial treatment terminal, carries out artificial treatment Operation；

(3), when there is no reception staff in setting time, expanding and pushing radius, Cloud Server continues to push；

(4), in the push radius of setting, more than repetition the step of (1)-(3)；After more than the push radius for setting, Stop pushing.