CN111240239A - Intelligent detection robot system - Google Patents
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- CN111240239A CN111240239A CN202010033933.6A CN202010033933A CN111240239A CN 111240239 A CN111240239 A CN 111240239A CN 202010033933 A CN202010033933 A CN 202010033933A CN 111240239 A CN111240239 A CN 111240239A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0428—Safety, monitoring
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
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Abstract
The utility model provides an intelligence detection robot system, includes: the detection robots are deployed in a detection site, and are used for acquiring site data, transmitting the site data to the monitoring server and executing actions according to instructions; the monitoring server is used for receiving the instruction generated by the monitoring client and sending the instruction to the detection robot, receiving the field data and sending the field data to the monitoring client and the analysis center; the monitoring client is used for generating an instruction according to user operation, sending the instruction to the monitoring server, receiving the field data and displaying the field data to a user; and the analysis center is used for analyzing the data, giving an alarm according to the analysis result and generating prompt information based on the historical data. The system can flexibly and comprehensively cover the accident scene, and greatly improves the detection efficiency.
Description
Technical Field
The present disclosure relates to the field of emergency rescue technologies, and in particular, to an intelligent detection robot system.
Background
Emergency rescue generally refers to the taking of preventive, preparatory, responsive and restorative activities and plans for sudden, damaging emergencies. According to different types of emergency events, the emergency rescue method is divided into the emergency rescue in the fields of sanitary emergency, traffic emergency, fire emergency, earthquake emergency, factory and mine emergency, family emergency and the like. In some emergency accidents such as earthquake, fire and the like, the site topography is complex and the environment is dangerous, and if rescuers enter the emergency, unnecessary casualties are easy to cause.
Systems such as security/emergency systems and information early warning monitoring systems for determining (fixed) scenes are generally deployed in a wired mode, the position of a collecting end is fixed, the systems cannot be suitable for detection of uncertain environments, and accidents often occur while the systems are damaged and cannot play a role. The existing on-site detection system for the uncertain environment generally comprises an acquisition end, transmission equipment and data collection equipment, wherein the acquisition end is single equipment, is generally a standard C/S (client/server) framework and has great limitation on scene environment adaptation. Aiming at scenes with large field areas or complex environments, carpet type remote control reconnaissance needs to be carried out by remote control equipment, and the efficiency is low.
Disclosure of Invention
The present disclosure is directed to solving at least one of the technical problems of the related art or related art.
For this reason, this disclosure provides an intelligence detection robot system, includes:
the detection robots are deployed in a detection site, and are used for acquiring site data, transmitting the site data to the monitoring server and executing actions according to instructions;
the monitoring server is used for receiving the instruction generated by the monitoring client and sending the instruction to the detection robot, receiving the field data and sending the field data to the monitoring client and the analysis center;
the monitoring client is used for generating an instruction according to user operation, sending the instruction to the monitoring server, receiving the field data and displaying the field data to a user;
and the analysis center is used for analyzing the data, giving an alarm according to the analysis result and generating prompt information based on the historical data.
Further, the monitoring client comprises a first type monitoring client and a second type monitoring client, the first type monitoring client is connected with the monitoring server according to a C/S architecture, and the second type monitoring client is connected with the monitoring server according to a B/S architecture.
Further, the monitoring server is also used for discovering and authorizing the detection robot in the network.
Further, the plurality of types of reconnaissance robots include a large and medium sized robot, a small sized robot, a movable robot, a fixed node robot, a ground robot, and/or an aerial robot.
Further, the detection robot is provided with various sensors for collecting field data and visible light and infrared cameras.
Furthermore, the system also comprises a multi-frequency point wireless network, and the detection robot is provided with a network communication module and used for self-organizing the network by using the multi-frequency point wireless network so as to send field data.
Further, the system also comprises a database, and the monitoring server is used for storing the field data into the database.
Furthermore, the analysis center is also used for supporting simulation training and restoring historical sites according to historical data.
The intelligent robot detection system of the embodiment of the disclosure provides a comprehensive solution for detection and inspection in the field of emergency fire fighting, in the scheme, various detection robots are deployed by applying various layout means to realize joint detection, the monitoring client receives a user operation generation instruction to control the detection robots in real time, the accident site can be flexibly and comprehensively covered, and the detection efficiency is greatly improved; the monitoring server completes dynamic control access and management through authorization authentication, and a safe, reliable and flexible remote control mode is realized; the expandability of the application layer client is realized through a C/S-B/S mixed architecture; by means of the multi-frequency-point wireless network structure, bandwidth advantages of different frequency points are fully utilized, and network communication under uncertain environments is guaranteed to the maximum extent.
Additional aspects and advantages of the disclosure will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the disclosure.
Drawings
The above and/or additional aspects and advantages of the present disclosure will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a block diagram of an intelligent detection robot system according to an embodiment of the present disclosure.
Detailed Description
In order that the above objects, features and advantages of the present disclosure can be more clearly understood, the present disclosure will be described in further detail below with reference to the accompanying drawings and detailed description. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present disclosure, however, the present disclosure may be practiced in other ways than those described herein, and therefore the scope of the present disclosure is not limited by the specific embodiments disclosed below.
Referring to fig. 1, there is shown an intelligent scout robot system 100 of an embodiment of the present disclosure, including a scout robot 101, a monitoring server 102, a monitoring client 103, and an analysis center 104 connected through a network, wherein:
a plurality of types of the reconnaissance robot 101 are deployed in the reconnaissance site for collecting site data and transmitting to the monitoring server 102 and performing actions according to instructions. The plurality of types of detection robots include a large and medium robot, a small robot, a mobile robot, a fixed node robot, a ground robot, and/or an aerial robot, etc., having various sensors for collecting field data including temperature, gas composition, video and audio, etc., and visible and infrared cameras. The detection robot 101 has a network communication module to send field data to the monitoring server 102 via a network. The detection robots 101 of multiple types can be deployed by multiple means such as manual placement, appliance casting, carrying and placement of mother and child carriers, aerial delivery, remote control, self-walking and the like, so that all-around maneuvering and flexible detection range coverage in air/ground, indoor/outdoor is realized. The detection robot 101 may perform an action such as self-walking, moving in a specified direction, or turning a camera, according to an instruction from the monitoring server.
The monitoring server 102 is configured to receive an instruction generated by the monitoring client 103, send the instruction to the detection robot, receive field data, and send the field data to the monitoring client 103 and the analysis center 104. Optionally, the monitoring server 102 is further configured to discover and authorize the spy robots 101 and/or the monitoring clients 103 in the network through a discovery protocol, and ensure that the spy robots 101 and the monitoring clients 103 conform to the security identities of system access, and access the spy robots 101 and the monitoring clients 103 into the system.
The monitoring client 103 is configured to generate an instruction according to a user operation, send the instruction to the monitoring server 102, receive the field data, and display the field data to a user. Optionally, the monitoring clients include a first type of monitoring client and a second type of monitoring client, the first type of monitoring client is connected with the monitoring server according to a C/S architecture, and the second type of monitoring client is connected with the monitoring server according to a B/S architecture. Typically, the first type of monitoring client 103 includes a single soldier terminal carried by a field rescuer, and the second type of monitoring client 103 includes a large screen terminal, a mobile phone, a tablet computer, etc. of a monitoring center, so that the quick response and information safety of field control are ensured through a C/S-B/S hybrid architecture, and the expandability and flexibility of an application layer client are realized. Optionally, the monitoring client 103 is in a "one-to-many" monitoring mode, that is, the monitoring client 103 may monitor the plurality of surveillance robots 101 simultaneously, and the monitoring client 103 presents the field data of the plurality of surveillance robots 101 simultaneously on the user interface, generates an instruction for the selected surveillance robot 101 according to the user operation, and transmits the instruction.
The instructions generated by the monitoring client 103 include control instructions. Alternatively, all of the on-line surveillance robots 101 may be monitored and remotely controlled by the monitoring client 103. Since the system supports access to a plurality of detection robots 101, the detection robots 101 can be designated to be in a self-walking state or a remote control state according to the characteristics of the equipment and the decision of field command. The self-walking state is that the movable detection robot 101 automatically explores the field environment, and the mode can be used for the situations that the scene is complex, the number of the detection robots 101 is large, and operators cannot pay attention to and remotely control all the detection robots 101 at the same time. The on-site environment is automatically explored through the detection robot 101, and information (temperature, gas composition, video and audio and the like) collected on site is transmitted back to the monitoring server so as to give an alarm for sensitive information, so that the detection efficiency can be effectively improved, and the detection range is enlarged.
The analysis center 104 is configured to perform analysis operations such as query, playback, and filtering on the data, alarm according to an analysis result, and generate prompt information based on the historical data, for example, alarm when a specified sensitivity value in the analysis result reaches a preset threshold, prompt an expected accident consequence based on the historical data, and provide a reference for field policy making. Optionally, the analysis center 104 is further configured to support simulation training to restore historical sites based on historical data.
Optionally, the system further includes a multi-frequency-point wireless network 105, all the collected data are gathered and returned through the wireless network (private or public), and the multi-frequency-point network structure forms a backbone network and a branch network to transmit the data, so that the bandwidth utilization rate of the wireless network is improved. The detection robot 101 can perform 'self-networking' according to the actual position relationship, and dynamically form a 'tree-shaped' topology by relying on part of the detection robot 101 carrying the multi-frequency point network module, so that leaf nodes are dynamically expanded, the communication range is effectively expanded, the bandwidth utilization rate is improved, and the guarantee is provided for network communication in a complex environment.
Optionally, the system further comprises a database 106, and the monitoring server 102 stores the field data in the database 106.
The intelligent robot detection system of the embodiment of the disclosure provides an omnibearing intelligent integrated solution for detection and inspection in the field of emergency fire fighting, and realizes joint detection by deploying various detection robots in the system, and a monitoring client receives a user operation generation instruction to control the detection robot in real time, so that an accident site can be flexibly and comprehensively covered, and the detection efficiency is greatly improved; the monitoring server completes dynamic control access and management through authorization authentication, and a safe, reliable and flexible remote control mode is realized; the bandwidth advantages of different frequency points are fully utilized through a multi-frequency point wireless network structure, and network communication under an uncertain environment is guaranteed to the maximum extent; the historical site is rewound through the analysis center, targeted sensitive data are extracted, reference is provided for later stage decision making, targeted training is conducted on a special environment, and the strain capacity of actual combat is improved.
The following explains the working method of the intelligent detection robot system shown in fig. 1 in detail according to an embodiment of the present disclosure, specifically as follows:
firstly, when receiving a notification of an emergency event, determining a deployment scheme of the detection robot according to preliminary field information such as area size, area type, event severity and the like, wherein the deployment scheme comprises which types of detection robots are deployed, the number of the detection robots of each type and the like. Then, according to a deployment scheme, multiple types of detection robots are deployed to a detection site by multiple means such as manual placement, appliance throwing, carrying and placing of mother and child carriers, aerial delivery, remote control, self-walking and the like. The plurality of types of detection robots include large and medium sized robots, small sized robots, mobile robots, fixed node robots, ground robots, and/or air robots, etc. For example, a fixed node robot and a small mobile robot are deployed to the site by appliance throwing, or a fixed node robot and a small robot are carried by an aerial robot with a mother-child carrier, or a fixed node robot and a small robot are carried by a large and medium mobile robot with a mother-child carrier, or the large and medium mobile robot is remotely controlled to enter the site, and the like.
The detection robot is started before or after entering the site, and a network communication module is started to be connected to a communication network. The monitoring server can find the detection robot connected to the communication network through a discovery protocol, and carry out authorization authentication to ensure that the detection robot accords with the system access safety identity. And if the authentication is passed, allowing the detection robot to access into the system, otherwise, refusing the access. The detection robot starts devices such as a sensor and a camera to collect field information such as temperature, gas composition, video and audio after being started, and sends the collected field information to the monitoring server through the communication network after being accessed into the system. Optionally, the communication network is a multi-frequency point wireless network, and forms a backbone network and a branch network for transmitting data. At least part of the network communication modules of the detection robots are multi-frequency point network modules, the detection robots perform self-networking according to actual position relations, dynamically form tree-shaped topology by relying on terminals with the multi-frequency point network modules, dynamically expand leaf nodes and forward field information to the monitoring server based on the topology.
In parallel, the monitoring client boots up and accesses the monitoring server. The monitoring client sides are of various types, the first type of monitoring client sides are connected with the monitoring server according to a C/S architecture, and the second type of monitoring client sides are connected with the monitoring server according to a B/S architecture. For example, individual soldier terminals and field command vehicle-mounted terminals carried by field rescue personnel belong to a first type of monitoring client, and equipment such as a large-screen terminal, a mobile phone and a tablet personal computer of a monitoring center belong to a second type of monitoring client. The large screen terminal of the monitoring center and the like are connected with the monitoring server, and the monitoring server can receive and display field data after being started and logged in the system, generate an instruction according to the operation of a control person (user) and send the instruction to the monitoring server. The individual soldier terminal and the like are connected with the monitoring server in a wireless mode, optionally, the monitoring server finds the individual soldier terminal and conducts authorization authentication through a discovery protocol, receives and displays field data after the individual soldier terminal passes the authentication, and is operated by an operator to generate and send instructions. The authorization authentication can distinguish different authorities and objects, dynamically manages the detection robot and the monitoring client through an authorization mechanism, and can dynamically establish a control relation so as to flexibly adjust the remote control mode of the detection robot. The instructions generated by the monitoring client comprise control instructions, all the on-line detection robots which are authorized to be monitored can be monitored and remotely controlled through the monitoring client, for example, the movable detection robot is appointed to be in a self-walking state or a remote control state, and the detection robot is instructed to move in which direction in the remote control state.
The monitoring server sends the instruction from the monitoring client to the corresponding detection robot through the multi-frequency point wireless network, and the detection robot executes corresponding action according to the instruction. The monitoring server also stores the field data in a database and sends the field data to the analysis center.
The analysis center analyzes the data, generates alarm information according to the analysis result and generates prompt information based on the historical data, and the alarm information and the prompt information can be forwarded to the monitoring client side by the monitoring server for displaying.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims, and the scope of the invention is not limited thereto, as modifications and substitutions may be readily made by those skilled in the art without departing from the spirit and scope of the invention as disclosed herein.
Claims (8)
1. An intelligent detection robot system, comprising:
the detection robots are deployed in a detection site, and are used for acquiring site data, transmitting the site data to the monitoring server and executing actions according to instructions;
the monitoring server is used for receiving the instruction generated by the monitoring client and sending the instruction to the detection robot, receiving the field data and sending the field data to the monitoring client and the analysis center;
the monitoring client is used for generating an instruction according to user operation, sending the instruction to the monitoring server, receiving the field data and displaying the field data to a user;
and the analysis center is used for analyzing the data, giving an alarm according to the analysis result and generating prompt information based on the historical data.
2. The system of claim 1, wherein the monitoring clients comprise a first type of monitoring client and a second type of monitoring client, the first type of monitoring client and the monitoring server are connected according to a C/S architecture, and the second type of monitoring client and the monitoring server are connected according to a B/S architecture.
3. The system of claim 2, wherein the monitoring server is further configured to discover and authorize the spy robot and/or the monitoring client.
4. The system of claim 3, wherein the plurality of types of reconnaissance robots include a large and medium sized robot, a small sized robot, a mobile robot, a fixed node robot, a ground based robot, and/or an airborne robot.
5. The system of claim 4, wherein the surveillance robot has a plurality of sensors for collecting field data and visible and infrared cameras.
6. The system of claim 5, further comprising a multi-frequency point wireless network, wherein the spy robot has a network communication module for ad hoc networking using the multi-frequency point wireless network to transmit the field data.
7. The system of claim 6, further comprising a database, wherein the monitoring server is configured to store the field data in the database.
8. The system of claim 7, wherein the analysis center is further configured to support simulation training to recover historical sites from historical data.
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| CN202010033933.6A CN111240239A (en) | 2020-01-13 | 2020-01-13 | Intelligent detection robot system |
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| CN202010033933.6A CN111240239A (en) | 2020-01-13 | 2020-01-13 | Intelligent detection robot system |
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Cited By (3)
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| CN112040189A (en) * | 2020-09-01 | 2020-12-04 | 浙江大华技术股份有限公司 | Monitoring method and system of front-end equipment and storage medium |
| CN112261353A (en) * | 2020-09-01 | 2021-01-22 | 浙江大华技术股份有限公司 | Video monitoring and shunting method, system and computer readable storage medium |
| CN115016882A (en) * | 2022-06-28 | 2022-09-06 | 上海浦东发展银行股份有限公司 | Monitoring interface generation method, device, equipment and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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