CN110706459A - Situation perception cabinet air conditioner system - Google Patents
Situation perception cabinet air conditioner system Download PDFInfo
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- CN110706459A CN110706459A CN201911005452.8A CN201911005452A CN110706459A CN 110706459 A CN110706459 A CN 110706459A CN 201911005452 A CN201911005452 A CN 201911005452A CN 110706459 A CN110706459 A CN 110706459A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
Abstract
The application discloses situation awareness cabinet air conditioner system for solve the not enough problem of situation awareness in the great region of flow of people. The method comprises the steps that a situation awareness terminal is used for collecting field data, wherein the field data at least comprise audio data, video data and environment data; the situation control module is connected with the situation perception terminal and used for acquiring field data acquired by the situation perception terminal and sending the field data to the situation perception platform; and the situation perception platform is connected with the situation control module and is used for analyzing, processing and storing the received field data and sending an instruction to the situation control module according to the processing result of the field data. The system can monitor the situation near the cabinet in real time, report and store the monitored data, and realize the monitoring of the environmental situation of each area through the characteristic of wide distribution of the cabinet.
Description
Technical Field
The application relates to the technical field of intelligent cabinet machines, in particular to a situation awareness cabinet machine system.
Background
With the development of communication networks and economies, the business development forms are becoming more flexible and automated.
One concrete manifestation is that the intelligent cabinet technology is more and more widely applied in people's daily life. Such as ubiquitous, numerous vending machines, courier cabinets, and the like. In order to provide convenience for users and give consideration to commercial attributes of the users for profit, intelligent cabinet machines such as vending machines and express delivery cabinets are often deployed in hot spot areas of each city and areas with large pedestrian volume, such as shopping malls, stations and docks.
In the areas with large flow of people, there are often many potential safety hazards, and some safety accidents, such as illegal behaviors like theft and robbery, and safety accidents like trampling of people, are easy to happen. Increasing the safety precautions in these areas is therefore a widely-focused issue.
However, the existing cabinet air conditioner system has single function, cannot fully utilize the characteristic of wide distribution, and contributes to enhancing the safety protection capability of the area where the cabinet air conditioner system is located.
Disclosure of Invention
The embodiment of the application provides a situation awareness cabinet air conditioner system for solve the problem of insufficient situation awareness of a region with large pedestrian volume.
The cabinet-type air conditioner system is perceived to situation that this application embodiment provided includes:
the situation awareness terminal is used for collecting field data, wherein the field data at least comprises audio data, video data and environment data;
the situation control module is connected with the situation perception terminal and used for acquiring field data acquired by the situation perception terminal and sending the field data to the situation perception platform;
and the situation perception platform is connected with the situation control module and is used for analyzing, processing and storing the received field data and sending an instruction to the situation control module according to the processing result of the field data.
In one embodiment, the situation awareness terminal comprises a camera, and the camera is arranged inside or on the surface of the machine body.
In one embodiment, the situation awareness terminal comprises a camera, and the camera is arranged at a preset position outside the machine body.
In one embodiment, the situation awareness platform is specifically configured to determine people flow data within a preset time according to video data acquired by the situation awareness terminal within the preset time, and send a warning instruction to the situation control module when the people flow data exceeds a preset flow threshold.
In an embodiment, the situation awareness platform is specifically configured to, when determining to send a warning instruction to the situation control module, obtain geographic position information of an organism corresponding to the situation control module.
In one embodiment, the situation control module is specifically configured to filter and compress field data acquired by the situation awareness terminal, and send the filtered and compressed field data to the situation awareness platform; wherein the filtering condition at least comprises deleting the field data smaller than a preset size threshold.
In an embodiment, the situation awareness platform is specifically configured to perform face recognition on a face in the video data according to a plurality of pieces of face information that are pre-stored, and send a corresponding instruction to the situation control module according to a recognition result.
In one embodiment, the situation awareness platform is specifically configured to perform voice recognition on audio data, determine warning information matched with the voice recognition result according to the obtained voice recognition result and a plurality of pieces of pre-stored warning information, and send a warning instruction to the situation control module.
The embodiment of the application provides a situation awareness cabinet air conditioner system, and in the system, the situation awareness terminal collects field data, and the situation control module can acquire the field data collected by the situation awareness terminal and send the field data to a situation awareness platform. The situation awareness platform can analyze, process and store the received field data and send instructions to the situation control module according to the processing result. The system can make full use of the characteristic that intelligent cabinet machines are widely distributed, video data, audio data, environmental data and the like of cabinet machine accessories are collected through each cabinet machine, real-time monitoring is carried out on the environmental conditions and the like of the cabinet machine accessories, timely warning and the like are carried out on various unexpected conditions and the like near the cabinet machines through analysis, processing and the like of various data, the advantage that the cabinet machines are widely distributed can be fully utilized, the environmental conditions of all places are comprehensively mastered, and the safety level of each area is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a schematic structural diagram of a situation awareness cabinet system according to an embodiment of the present application;
fig. 2 is a schematic view of a situation awareness cabinet structure according to an embodiment of the present application;
fig. 3 is a schematic view of another situation-aware cabinet structure according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the embodiment of the application, the cabinet machine system is suitable for various intelligent cabinet machines such as vending machines and express delivery cabinets. For convenience of description, the following description will be made by taking a vending machine as an example.
Fig. 1 is a schematic structural diagram of a situation awareness cabinet system provided in an embodiment of the present application, which specifically includes a machine body 11, a situation awareness terminal 21, a situation control module 31, a communication module 41, a situation awareness platform 5, a human-computer interaction module 61, and an automatic vending module 71.
The situation awareness terminal 21 is configured to collect field data, where the field data represents data related to an environment near the cabinet, and may include at least audio data, video data, environment data, and the like. Specifically, the situation awareness terminal 21 may include a camera, a distance sensor, a temperature sensor, a humidity sensor, and other devices, and is configured to collect data such as audio data, video data, a distance between the cabinet and a user using the cabinet, and a temperature and a humidity of an environment where the cabinet is located.
The situation control module 31 is connected to the situation awareness terminal 21, and is capable of acquiring field data collected by the situation awareness terminal 21 and sending the acquired field data to the situation awareness platform 5. Specifically, the situation control module 31 is connected to the communication module 41, and the situation control module 31 may implement remote information interaction with the situation awareness platform 5 through wired transmission, wireless transmission and the like between the situation control module 31 and the communication module 41.
Further, after acquiring the field data collected by the situation awareness terminal 21, the situation control module 31 may filter and compress the field data, and then send the filtered field data to the situation awareness platform 5. Wherein, the filtering condition for filtering the field data at least comprises: and deleting the field data smaller than the preset size threshold value. By filtering and compressing the field data, useless information, redundant information and the like in the field data can be filtered, the workload of analysis and processing of the situation awareness platform 5 is reduced, and the storage space of the situation awareness platform 5 is saved.
In addition, in order to ensure the security and integrity of data in the data transmission process and prevent the data from being tampered, the situation control module 31 may encrypt the acquired field data and then send the encrypted field data to the situation awareness platform. Therefore, the situation awareness terminal 21 can acquire the field data and can safely and completely reach the situation awareness platform 5, so that the situation awareness platform 5 can objectively and truly master the dynamic situation near the cabinet machine. The encryption method may refer to an existing encryption method, which is not limited in this application.
The situation awareness platform 5 is connected to the situation control module 31, and is capable of analyzing, processing and storing the received field data, and sending an instruction to the situation control module 31 according to a processing result of the field data.
In an embodiment, the situation awareness platform 5 may determine the people flow data within a preset time according to the video data acquired by the situation awareness terminal 21 within the preset time, and send a warning instruction to the situation control module 31 when the people flow data exceeds a preset flow threshold. Specifically, the situation awareness platform 5 may determine the flow rate of people near the cabinet in the preset time according to dynamically monitoring and recognizing the body motions, the forms, and the like of people in the video. By the method, the conditions such as the people flow density near the cabinet air conditioner can be dynamically monitored, and the real-time monitoring and checking of the surrounding environment are realized. Moreover, when the people flow density is too large, namely the people flow data exceeds a preset flow threshold, the situation awareness platform 5 can send a warning instruction to the situation control module 31, so that the situation control module 31 can control the cabinet air conditioner to send warning information to the crowd in modes of voice prompt and the like. Or, the situation awareness platform 5 may also send warning information to a security station near the cabinet, so that the security station can make security measures and preparations in advance.
Further, when determining that an alert instruction is to be sent to the situation control module 31, the situation awareness platform 5 may obtain geographic location information of the machine body corresponding to the situation control module 31. The situation awareness platform 5 can master different situations of the cabinets according to the geographical location information of the cabinets, and timely master the geographical location information of the cabinets needing to be warned, so that emergency situations in corresponding areas can be timely responded and processed.
In one embodiment, the situation awareness platform 5 may perform face recognition on a face in the video data according to a plurality of pre-stored face information, and send a corresponding instruction to the situation control module 31 according to the recognition result. Specifically, the situation awareness platform 5 is connected to a third-party platform such as a related security platform and a related security platform, and after the situation awareness platform 5 performs face recognition on the face in the video data, the obtained face features can be compared with face information stored in the third-party platform, and whether the face features are matched with the pre-stored face information is determined. If the face information matched with the face features obtained by recognition exists in the prestored face information, the situation induction platform 5 can send an instruction to the situation control module 31 to realize the function of reminding the relevant people. Alternatively, the situation sensing platform 5 may also send the matching result to the corresponding third party platform. For example, the pre-stored face information may be wanted information, and the like.
In one embodiment, the situation awareness platform 5 may further perform voice recognition on the audio data, determine warning information matching the voice recognition result according to the obtained voice recognition result and a plurality of pre-stored warning information, and send a warning instruction to the situation control module 31. Or, the situation awareness platform 5 may also send the voice recognition result and the matching result to a security site near the cabinet. For example, the speech recognition result is "robbery", "thief", etc.
The human-computer interaction module 61 is used for realizing interaction between the cabinet air conditioner and a user, and determining information input by the user according to the operation of the user. The automatic vending module 71 is used for determining the commodities purchased by the user according to the information input by the user and moving the relevant commodities to the fetching port of the cabinet machine.
As shown in fig. 1, the situation awareness platform 5 may be connected to a plurality of situation awareness cabinet systems at the same time, and the situation awareness platform 5 may distinguish the situation awareness cabinet systems according to geographical location information of each cabinet, or an identification code of each cabinet, or the like. In fig. 1, the connection relationship and functions between the machine body 12, the situation awareness terminal 22, the situation control module 32, the communication module 42, the human-computer interaction module 62, and the vending module 72 are the same as those of the machine body 11, the situation awareness terminal 21, the situation control module 31, the communication module 41, the human-computer interaction module 61, and the vending module 71, which are not described herein again.
In one possible implementation manner, as shown in fig. 1 and fig. 2, the situation awareness terminal 31 may include a camera or other devices disposed inside or on the surface of the body. The design mode is beneficial to maintenance of each device in the situation awareness terminal, and the service life of each device can be prolonged.
In another possible implementation manner, as shown in fig. 3, the situation awareness terminal 31 may include a camera and other devices, which are disposed at a preset position outside the body and away from the body. Through the design mode, each device can be arranged at the position more favorable for collecting data according to the requirement without being limited by the cabinet machine, and the data collection is favorable.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (8)
1. A situational awareness cabinet system, comprising:
the situation awareness terminal is used for collecting field data, wherein the field data at least comprises audio data, video data and environment data;
the situation control module is connected with the situation perception terminal and used for acquiring field data acquired by the situation perception terminal and sending the field data to the situation perception platform;
and the situation perception platform is connected with the situation control module and is used for analyzing, processing and storing the received field data and sending an instruction to the situation control module according to the processing result of the field data.
2. The system according to claim 1, wherein the situational awareness terminal comprises a camera disposed within or on a surface of the body.
3. The system according to claim 1, wherein the situational awareness terminal includes a camera disposed at a predetermined location outside the body.
4. The system according to claim 1, wherein the situation awareness platform is specifically configured to determine people flow data within a preset time according to video data acquired by the situation awareness terminal within the preset time, and send a warning instruction to the situation control module when the people flow data exceeds a preset flow threshold.
5. The system according to claim 1, wherein the situation awareness platform is specifically configured to, when determining to send a warning instruction to the situation control module, obtain geographic location information of a machine body corresponding to the situation control module.
6. The system according to claim 1, wherein the situation control module is specifically configured to filter and compress the field data collected by the situation awareness terminal, and send the filtered and compressed field data to the situation awareness platform; wherein the filtering condition at least comprises deleting the field data smaller than a preset size threshold.
7. The system according to claim 1, wherein the situation awareness platform is specifically configured to perform face recognition on a face in the video data according to a plurality of pre-stored face information, and send a corresponding instruction to the situation control module according to a recognition result.
8. The system according to claim 1, wherein the situation awareness platform is specifically configured to perform voice recognition on the audio data, determine warning information matching the voice recognition result according to the obtained voice recognition result and a plurality of pre-stored warning information, and send a warning instruction to the situation control module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911005452.8A CN110706459A (en) | 2019-10-22 | 2019-10-22 | Situation perception cabinet air conditioner system |
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| CN201911005452.8A CN110706459A (en) | 2019-10-22 | 2019-10-22 | Situation perception cabinet air conditioner system |
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Application publication date: 20200117 |