Alarm method based on data
Through the information transmission and in-depth analysis and processing of external equipment and dispatch centers, combined with artificial intelligence to identify the types of dangerous situations, the problem that traditional police reception and handling methods cannot quickly deal with accidents is solved, and the rapid and accurate dangerous situation alarms are achieved, and property losses are reduced.
Patent Information
- Application Number
- CN202411348581.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-26
- Publication Date
- 2024-12-24
AI Technical Summary
The traditional police reception and handling methods cannot meet the high requirements of modern public security management and fire protection for police efficiency and accuracy, resulting in the inability to quickly identify and handle dangerous situations when an accident occurs, resulting in property losses.
Real-time information is obtained through external devices, transmitted to the dispatching center for in-depth analysis, and the early warning information is obtained, and combined with the database to sort it into alarm request parameters, and transmitted to the alarm center to ensure that the alarm equipment is timely alert, and the dangerous situation is identified using artificial intelligence technology and based on the Preset plan to alarm.
It has achieved rapid identification and handling of dangerous situations, reduced property losses, improved police efficiency and accuracy, and ensured that relevant personnel handled it in a timely manner.
Smart Images
Figure CN119181199A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the field of security, and in particular to an alarm method based on data. Background Art
[0002] Nowadays, with the development of artificial intelligence, the use of artificial intelligence technology to process data has become increasingly mature. For example, application number 202311518369.7 discloses an artificial intelligence-based data analysis system and method, which records in detail how to use artificial intelligence to process data; and with the increasing requirements for police efficiency and accuracy in public security management, fire protection and other fields, the traditional way of receiving and handling police calls can no longer meet existing requirements. In actual production and life, various accidents may occur, such as fires, water pipe ruptures, chemical leaks, damage to power equipment and other safety issues. These things all require professional personnel to deal with them. Therefore, how to quickly discover dangerous situations, report them in a short time, and notify relevant personnel to quickly deal with them is the problem we are currently facing. Summary of the invention
[0003] The present invention provides a data-based alarm method, which aims to achieve effective identification and judgment of accidents by means of relevant algorithms, thereby realizing fully automatic alarm and meeting usage requirements.
[0004] To achieve the above object, the present invention proposes a data-based alarm method, which is characterized by comprising the following steps: S1: Use external equipment to obtain real-time information and transmit the real-time information to the dispatch center; S2: After receiving the real-time information, the dispatch center performs a near-depth analysis on the real-time information to obtain warning information, which includes the warning type, warning location and warning time; S3: The dispatch center combines the warning information with the database and organizes it into final information, obtains the alarm request parameters and transmits them to the alarm center; S4: The alarm center processes the alarm request parameters to obtain the alarm information, and transmits the alarm information to the corresponding alarm device to ensure that the alarm device issues a timely warning.
[0005] Preferably, in step S1, the process of acquiring the real-time information specifically includes the following steps: S11: The external device first sends a request to the dispatch center, and the dispatch center establishes a data transmission channel with the external device according to the UID information of the external device; S12: Acquire real-time information captured by an external device, including text information, picture information and video information, and convert the real-time information into initial information.
[0006] Preferably, in step S2, the dispatch center uses an algorithm to analyze the real-time information to obtain initial information, and transmits the initial information to a judgment module of the dispatch center for processing.
[0007] Preferably, the determination module compares and analyzes the initial information with the real-time information. When the degree of consistency between the two reaches a set threshold, the initial information is used as warning information for subsequent processing; when the degree of consistency between the two is lower than the set threshold, the determination module issues a prompt and hands it over to professionals for review and judgment, and adjusts the initial information based on the real-time information to obtain warning information.
[0008] As a priority, in step S2, the location and time of the external device are determined according to the UID information of the external device, and then the event code and environmental parameter information are analyzed according to the content of the warning information.
[0009] Preferably, in step S3, the event code and parameter information in the warning information are substituted into the database to screen relevant alarm request parameters, wherein the alarm request parameters include the area range, time period and intensity of the warning.
[0010] Preferably, step S4 also includes a verification step. When the alarm device receives the alarm information, it sends feedback information to the alarm center after working normally. If the alarm center cannot receive the feedback information within the specified time, it will feed back to the dispatch center for timely display.
[0011] Preferably, the connection method between the external device and the dispatch center is one of 4G, 5G, and ZigBee wireless networking.
[0012] Preferably, the external device is any one of a smart phone, a tablet computer, and a surveillance camera.
[0013] In the technical solution of the present invention, relevant data is collected through external equipment, the data is identified through existing artificial intelligence technology, the disaster type is analyzed, and then an alarm is issued according to a preset processing plan combined with the climate information of the disaster location, the alarm is notified to the people in the area, and the relevant personnel are notified to handle it; thereby achieving accurate alarm in a short time and reducing property losses. BRIEF DESCRIPTION OF THE DRAWINGS
[0014] Figure 1 It is a schematic diagram of the steps of the present invention; DETAILED DESCRIPTION
[0015] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0016] It should be noted that if the embodiments of the present invention involve directional indications (such as up, down, left, right, front, back...), the directional indications are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.
[0017] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.
[0018] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present invention, the descriptions of "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, if the meaning of "and / or" appearing in the full text is to include three parallel schemes, taking "A and / or B" as an example, it includes scheme A, or scheme B, or a scheme that satisfies both A and B. In addition, the technical solutions between the various embodiments can be combined with each other, but it must be based on the ability of ordinary technicians in this field to implement. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.
[0019] See also Figure 1 The present invention proposes a data-based alarm method, which is characterized by comprising the following steps: S1: Use external equipment to obtain real-time information and transmit the real-time information to the dispatch center; S2: After receiving the real-time information, the dispatch center performs a near-depth analysis on the real-time information to obtain warning information, which includes the warning type, warning location and warning time; S3: The dispatch center combines the warning information with the database and organizes it into final information, obtains the alarm request parameters and transmits them to the alarm center; S4: The alarm center processes the alarm request parameters to obtain the alarm information, and transmits the alarm information to the corresponding alarm device to ensure that the alarm device issues a timely warning.
[0020] In this embodiment, data is first collected by utilizing an external device, so that relevant dangerous situations can be discovered in a timely manner and reported to the dispatch center for processing, thereby achieving effective processing of dangerous situations. More specifically, the present application utilizes deep learning technology to effectively identify and judge early warning information through algorithms, and selects corresponding programs for processing based on the judgment results. Compared with the existing uninterrupted manual analysis, identification, and judgment, the solution provided by the present application is autonomous identification, and the relevant dangerous situation types are obtained by analyzing the data, and then quickly processed in combination with the pre-stored solutions in the database.
[0021] In step S1, the process of acquiring real-time information specifically includes the following steps: S11: The external device first sends a request to the dispatch center, and the dispatch center builds a data transmission channel with the external device according to the UID information of the external device; S12: Acquire the real-time information captured by the external device, including text information, picture information and video information, and convert the real-time information into initial information. In this embodiment, each external device has its own unique UID (user identifier), so that when the relevant data is transmitted with the dispatch center, the data center can quickly find out which external device has discovered the danger, and at the same time, when transmitting data, build an exclusive transmission channel, and give priority to obtaining the data of the external device, so as to achieve rapid acquisition of the danger; after the exclusive transmission channel is established, it can quickly transmit information with a large amount of data such as text, pictures or videos; that is, use a low-data-volume connection before the danger occurs, and use a high-data-volume transmission channel for data transmission after the danger is discovered, so as to ensure that no data loss occurs.
[0022] In step S2, the dispatch center uses an algorithm to analyze the real-time information to obtain initial information, and transmits the initial information to the judgment module of the dispatch center for processing. The judgment module compares and analyzes the initial information with the real-time information. When the consistency between the two reaches the set threshold, the initial information is used as warning information for subsequent processing; when the consistency between the two is lower than the set threshold, the judgment module prompts and hands it over to professionals for review and judgment, and adjusts the initial information according to the real-time information to obtain warning information. In step S2, the location and time of the external device are determined according to the UID information of the external device, and then the event code and environmental parameter information are analyzed according to the content of the warning information. Use existing artificial intelligence technologies, such as convolutional neural networks, to process relevant data and analyze relevant dangerous situations. In the specific implementation process, the data information on the scene of dangerous situations such as fire and chemical leakage is different. For example, when a fire hazard occurs, it is usually accompanied by thick smoke or flames, and the temperature in the air will rise; and damaged water pipes will cause local water seepage and even gushing. Through the information collected from multiple angles by external equipment, artificial intelligence technology is used to identify and determine what kind of dangerous situation has occurred, and then corresponding measures can be taken to deal with it in the subsequent stage. It should be noted that the recognition algorithm may not be completely accurate, and inaccurate judgments may occur for some minor dangerous situations. At this time, manual judgment can be used. When the dangerous situation is determined, relevant early warning information can be obtained.
[0023] In step S3, the event code and parameter information in the early warning information are substituted into the database, and the relevant alarm request parameters are screened. The alarm request parameters include the area range, time period and intensity of the warning. In this embodiment, the database is implemented to include event codes corresponding to various dangerous situations. After the relevant dangerous situation is identified, the event code is used to match in the database to select the relevant alarm parameters; and due to the different actual environments at the time, further refinement is required. For example, when a fire occurs, the temperature and humidity, wind force and direction, and the time when the fire occurs will play a vital role in the subsequent processing steps. Therefore, these factors must also be considered to determine the area that may be affected in the subsequent fire handling process, divide the area into the alarm area range, and the alarm in the area works, so as to realize the reminder or evacuation of personnel in the area.
[0024] In step S4, a verification step is also included. When the alarm device receives the alarm information, it sends feedback information to the alarm center after it works normally. If the alarm center cannot receive the feedback information within the specified time, it will be fed back to the dispatch center for timely display. In this embodiment, the verification step ensures that the early warning can be effectively carried out, and the personnel in the area can receive the alarm information. In actual use, the alarm device can be a buzzer, a siren, a speaker, etc.
[0025] The connection method between the external device and the dispatch center is one of 4G, 5G, and ZigBee wireless networking; the external device is any one of a smart phone, a tablet computer, or a surveillance camera. In this embodiment, by utilizing relevant connection technologies, all devices can communicate effectively to ensure that data transmission will not be lost.
[0026] The above descriptions are only optional embodiments of the present invention, and are not intended to limit the patent scope of the present invention. All equivalent structural changes made using the contents of the present invention's specification and drawings, or directly / indirectly applied in other related technical fields, are included in the patent protection scope of the present invention.
Claims
1. A data-based alarm method, characterized in that: The following steps are involved: S1: Use external equipment to obtain real-time information and transmit the real-time information to the dispatch center; S2: After receiving the real-time information, the dispatch center performs a near-depth analysis on the real-time information to obtain warning information, which includes the warning type, warning location and warning time; S3: The dispatch center combines the warning information with the database and organizes it into final information, obtains the alarm request parameters and transmits them to the alarm center; S4: The alarm center processes the alarm request parameters to obtain the alarm information, and transmits the alarm information to the corresponding alarm device to ensure that the alarm device issues a timely warning.
2. The alarm method according to claim 1, characterized in that: In step S1, the process of acquiring real-time information specifically includes the following steps: S11: The external device first sends a request to the dispatch center, and the dispatch center establishes a data transmission channel with the external device according to the UID information of the external device; S12: Acquire real-time information captured by an external device, including text information, picture information and video information, and convert the real-time information into initial information.
3. The alarm method according to claim 2, characterized in that: In step S2, the dispatch center uses an algorithm to analyze the real-time information to obtain initial information, and transmits the initial information to the judgment module of the dispatch center for processing.
4. The alarm method according to claim 3, characterized in that: The judgment module compares and analyzes the initial information with the real-time information. When the degree of consistency between the two reaches the set threshold, the initial information is used as warning information for subsequent processing; when the degree of consistency between the two is lower than the set threshold, the judgment module will give a prompt and hand it over to professionals for review and judgment, and adjust the initial information based on the real-time information to obtain warning information.
5. The alarm method according to claim 2, characterized in that: In step S2, the location and time of the external device are determined according to the UID information of the external device, and then the event code and environmental parameter information are analyzed according to the content in the warning information.
6. The alarm method according to claim 1, characterized in that: In step S3, the event code and parameter information in the warning information are substituted into the database, and the relevant alarm request parameters are screened. The alarm request parameters include the area range, time period and intensity of the warning.
7. The alarm method according to claim 1, characterized in that: In step S4, a verification step is also included. After the alarm device receives the alarm information, it sends feedback information to the alarm center after working normally. If the alarm center cannot receive the feedback information within the specified time, it will be fed back to the dispatch center for timely display.
8. The alarm method according to claim 1, characterized in that: The connection method between the external device and the dispatch center is one of 4G, 5G, and ZigBee wireless networking.
9. The alarm method according to claim 1, characterized in that: The external device is any one of a smart phone, a tablet computer or a surveillance camera.