CN111798648A

CN111798648A - Intelligent alarm method and device, alarm platform and terminal

Info

Publication number: CN111798648A
Application number: CN201910284125.4A
Authority: CN
Inventors: 周睿
Original assignee: Chihiro Location Network Co Ltd
Current assignee: Qianxun Position Network Co Ltd; Chihiro Location Network Co Ltd
Priority date: 2019-04-08
Filing date: 2019-04-08
Publication date: 2020-10-20
Anticipated expiration: 2039-04-08
Also published as: CN111798648B

Abstract

The invention is suitable for the technical field of Internet of things, and provides an intelligent alarm method and device, an alarm platform and an alarm terminal, wherein the method comprises the following steps: when an alarm is triggered, acquiring position information of an alarm person, wherein the position information comprises a positioning position of the alarm person, and the positioning position is obtained by resolving based on positioning enhancement data; and reporting alarm data, wherein the alarm data comprises the position information of the alarm person. According to the invention, after the alarm is triggered, positioning calculation is carried out based on the positioning enhancement data to obtain the positioning position, so that the positioning precision can be improved, and the alarm accuracy can be improved.

Description

Intelligent alarm method and device, alarm platform and terminal

Technical Field

The invention relates to the technical field of intelligent televisions, in particular to an intelligent alarm method and device, an alarm platform and a terminal.

Background

Currently, mobile phone alerts are typically made to a specific entity or a specific contact by dialing a specific phone number (e.g., 110). Two key points of alarm need to be informed to the other party, namely an event and a geographical position; when people are in emergency, the people are usually in a nervous state, are easy to be in disorder of hands and feet, are incoherent, and when people are in nervous thinking or in disordered mood, the current geographical position is difficult to be clearly described, so that the position is not clearly described or known at all when the people give an alarm, and the alarm time is delayed.

GPS navigation software in the existing mobile phone becomes standard configuration, but positioning information of a GPS navigation system can only be directly loaded into a short message for short message alarming, the timeliness of the short message alarming is not strong, alarming information cannot be fed back to an appointed unit or an appointed contact person intuitively at the first time, a user is required to input clear alarming information quickly and accurately under emergency, the practicability is limited, the positioning accuracy is not high, the alarming efficiency is influenced to a certain extent, and for example, when rescue is needed, rescue can be delayed if the positioning accuracy is not accurate enough.

Therefore, a new technical solution is needed to solve the above technical problems.

Disclosure of Invention

In view of this, embodiments of the present invention provide an intelligent alarm method and apparatus, an alarm platform, and a terminal, so as to solve the problem in the prior art that positioning accuracy during alarm is not high.

The first aspect of the embodiment of the invention provides an intelligent alarm method, which comprises the following steps:

when an alarm is triggered, acquiring position information of an alarm person, wherein the position information comprises a positioning position of the alarm person, and the positioning position is obtained by resolving based on positioning enhancement data;

and reporting alarm data, wherein the alarm data comprises the position information of the alarm person.

A second aspect of the embodiments of the present invention provides an intelligent alarm apparatus, including:

the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring the position information of an alarm person when an alarm is triggered, the position information comprises a positioning position where the alarm person is located, and the positioning position is obtained by resolving based on positioning enhancement data;

and the alarm unit is used for reporting alarm data, and the alarm data comprises the position information of the alarm person.

A third aspect of an embodiment of the present invention further provides an alarm platform, where the alarm platform includes an intelligent alarm device, and the intelligent alarm device includes:

The fourth aspect of the embodiments of the present invention further provides an alarm terminal, where the alarm terminal includes: thing networking terminal, rescue platform and warning platform, wherein:

the Internet of things terminal is used for sending an alarm request to the alarm platform and feeding back position data for the alarm platform;

the rescue platform is used for receiving and storing the alarm data uploaded by the alarm platform and sending an alarm to prompt rescue;

the alarm platform includes the device of intelligent warning, the device includes:

A fifth aspect of the embodiments of the present invention further provides a server, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the method mentioned in the first aspect when executing the computer program.

A sixth aspect of embodiments of the present invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method mentioned in the first aspect.

Compared with the prior art, the embodiment of the invention has the following beneficial effects: in the embodiment, after the alarm is triggered, the positioning is resolved based on the positioning enhancement data to obtain the positioning position, so that the positioning precision can be improved, and the alarm accuracy can be improved.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.

Fig. 1 is a schematic flow chart of a method for intelligently alarming according to an embodiment of the present invention;

fig. 2 is a schematic flowchart illustrating a step S1 of a method for intelligently alarming according to an embodiment of the present invention;

fig. 3 is a flowchart illustrating a step S12 of a method for intelligently alarming according to an embodiment of the present invention;

fig. 4 is a flowchart illustrating a specific process of step S124 of a method for intelligently alarming according to an embodiment of the present invention;

fig. 5 is a schematic structural diagram of an intelligent alarm device according to a second embodiment of the present invention;

fig. 6 is a schematic structural diagram of an alarm terminal according to a fourth embodiment of the present invention;

fig. 7 is a schematic structural diagram of a server according to a fifth embodiment of the present invention.

Detailed Description

In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.

It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.

It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to a determination" or "in response to a detection". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".

It should be understood that, the sequence numbers of the steps in this embodiment do not mean the execution sequence, and the execution sequence of each process should be determined by the function and the inherent logic of the process, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

It should be noted that, the descriptions of "first" and "second" in this embodiment are used to distinguish different regions, modules, and the like, and do not represent a sequential order, and the descriptions of "first" and "second" are not limited to be of different types.

In order to illustrate the technical solution of the present invention, the following is illustrated by specific examples.

Example one

Fig. 1 is a schematic flow chart of a method for intelligently alarming according to an embodiment of the present invention, where the method may include the following steps:

step S1, when the alarm is triggered, the position information of the alarm person is obtained;

specifically, when an alarm is triggered by an alarm person, first, location information of the alarm person is obtained, where the location information includes a current location position of the alarm person, the location position is obtained by resolving based on location enhancement data, the location information may further include an alarm video, a voice, a picture, and the like, and may further include an alarm time, which is not limited herein, and the location enhancement data may be one or more of the following: satellite ephemeris data, wireless network data, inertial navigation calibration data, NRTK differential data, PPP-RTK differential data, etc., the wireless network data may include: cell (communication base station) data, WIFI data, BT (bluetooth) data, and the like; the accuracy of the positioning position is higher than the accuracy of the approximate position described later.

Step S2, reporting alarm data;

specifically, when the alarm data is acquired, the alarm information can be reported to a rescue center or an appointed contact person, and the alarm information carries the current position information of the alarm person.

It should be noted that, in some practical application scenarios, for example, when the alarm person is in a dangerous situation (for example, robbed), the alarm person may resist escaping, so the real-time position may change, for example: after the alarm person gives an alarm by using the mobile phone, the general position of the alarm person is periodically obtained, the position information of the alarm person is also periodically obtained, and the alarm data is periodically uploaded.

In a preferred scheme of this embodiment, a rescue platform is selected according to a transit routing policy, and then alarm and alert data is reported. The transit routing policy is preferably: according to the closest distance principle, i.e. according to the straight-line distance, closest to the geographical location of the occurrence location, etc.

In the embodiment, after the alarm is triggered, the positioning is resolved based on the positioning enhancement data to obtain the positioning position, so that the positioning precision can be improved, and the alarm accuracy can be improved.

In a preferable embodiment of this embodiment, the step S1 further includes:

the alarm person registers the alarm platform in advance;

specifically, an alarm person registers an account number in an alarm platform in advance, registers the name of the alarm person, can also register the identity card number of the alarm person for real-name authentication, and also needs to register the city or specific area where the alarm person lives or works, and the alarm platform can configure a default public rescue platform for the alarm person in advance. In addition, the alarmer also needs to register one or more mobile terminals used by the alarmer, such as a mobile phone and the like, each mobile terminal needs to improve an identification number, such as a mobile phone number, the alarm platform establishes a database of the alarmer, and in addition, the alarmer can also register information of one or more emergency contacts, including: the name, phone number, relationship with the emergency contact, etc. of the emergency contact. The registration information is convenient for a subsequent alarm person to directly acquire corresponding data from the database when triggering the alarm, so that the alarm efficiency is improved.

In a preferable scheme of this embodiment, after the step of pre-registering the alarm platform by the alarm person and before the step of S1, the method further includes:

the alarm person initiates an alarm request;

specifically, when an alarm person needs to give an alarm, the alarm is triggered to send an alarm request through an auxiliary device (an internet of things terminal, and the internet of things terminal and the alarm platform are in a wireless connection state), and the alarm mode can be one of the following modes:

the method comprises the following steps: the alarm is given through direct dialing (for example, 110) of the terminal (for example, a mobile phone) of the internet of things, in this embodiment, a dialing program of the terminal of the internet of things is modified, or a monitoring function is added, and when it is monitored that an alarm person dials a specific number (for example, 110, 120, 119, 122), the alarm is automatically triggered.

The process of modifying the dialing program of the terminal of the Internet of things comprises the following steps:

the method comprises the steps that a domain name or an IP address of an intelligent Internet of things alarm platform is configured in advance, and when a special number is identified, alarm information needs to be sent to the intelligent Internet of things alarm platform at the first time besides the special number is connected; the special number configurable function is supported. For example, in china, it is assumed to be 110, or 119, 120, 122. Other numbers may be configured when roaming to other countries or regions, for example the united states may be configured to 911 and europe may be configured to 112.

The second method comprises the following steps: one-key alarm is carried out through an APP on the terminal of the Internet of things;

specifically, an APP is preset, and corresponding information is configured, for example: the method comprises the steps of configuring alarm types (110 alarm, fire alarm, medical emergency, car accident alarm and other alarms), configuring information (name, mobile phone number and other information such as relation with an alarm person) of one or more emergency contact ways, configuring the area where the alarm person is located, home address, physical conditions and the like, configuring functions of APP such as text uploading, photos, sound recording and video recording, configuring secret sound recording, secret photographing, camera shooting and the like, and when the APP is opened by the alarm person, an alarm button preset by a touch screen electrode APP can automatically trigger alarm and automatically send an alarm request to an alarm platform.

The third method comprises the following steps: alarming through voice;

specifically, firstly, a segment of voice is prerecorded on a terminal of the internet of things (an intelligent sound box or an intelligent automobile) for alarming, and corresponding information is configured, for example, the alarm type, the identity information of an alarm person, an emergency contact person and the like in the alarm method, and the configuration information of the method can be referred to specifically;

for example, a section of voice is prerecorded, i.e., the voice is required to be alarmed, the voice is monitored in real time, the voice is acquired and compared with the prerecorded voice, and when the comparison result is consistent, the alarm is automatically triggered;

the method four comprises the following steps: alarming through fingerprints;

specifically, an alarm fingerprint different from screen unlocking is preset on the intelligent device (the device supporting fingerprint identification), corresponding information is configured (the specific configuration content is the alarm method), when the finger of an alarm person presses the fingerprint identification area, the corresponding fingerprint information is collected and matched with the preset alarm fingerprint, and if the matching is successful, the alarm is automatically triggered. Furthermore, when fingerprint alarming is carried out, unlocking is not carried out, so that the behavior of an alarm person is prevented from being discovered.

Further, other physiological characteristics may be used to perform recognition alarms, such as iris, etc., without limitation.

The method five comprises the following steps: triggering alarm through keys;

specifically, a key is pre-installed on an internet of things terminal (wearable device, such as a smart watch, a smart bracelet, etc.), information according to the alarm method is configured, and a key behavior corresponding to an alarm is set, for example: the long press for 10s can trigger alarm, the operation behavior of the user is sensed in real time, and if the key is pressed for a long time, the alarm can be automatically triggered.

The method six: alarming through infrared identification;

specifically, an infrared sensor is arranged on a terminal of the internet of things, corresponding triggering information is set, the information of the alarm method is configured, and when a signal is sensed, triggering includes, for example: and the infrared sensor senses that a certain space changes, compares the space with the triggering information, and triggers an alarm if the space is consistent with the triggering information.

The method comprises the following steps: triggering an alarm through a camera;

specifically, a video monitoring mode is preset through the internet of things terminal, a triggering mode of a video or an image is preset, corresponding information is configured (specific contents are shown in the method), when the video or the image is collected, the video or the image is compared with the triggering mode, and if the comparison is consistent, an alarm is automatically triggered.

In this embodiment, different alarm trigger modes are set, so that the practicability of alarm can be improved, and convenience is brought to users.

In a preferable embodiment of this embodiment, after step S2, the method further includes:

step S3, when the early warning information needs to be pushed in the early warning area, the early warning information is pushed;

specifically, when early warning is required, the early warning information is pushed in a corresponding early warning area, where the early warning information includes warning data, where the early warning area is obtained based on a geo-fencing technology, an area where a circle formed by taking the warning center as a center and taking a preset length as a radius is located forms the early warning area, and a specific numerical value of the preset length may be set according to an actual situation, where the specific numerical value is not limited, and preferably the preset length is 1 km.

When early warning is needed, a circle is drawn by taking an alarm center as a circle center and 1 kilometer as a radius, the positions of all internet of things terminals (preferably intelligent internet of things terminals) in a current database (except the internet of things terminals used by an alarm person) are inquired, the distance between each internet of things terminal and the circle center is respectively calculated, if the distance is smaller than the radius (1 kilometer), the distance is marked as Y, if the distance is larger than or equal to the radius, the distance is marked as N, then the internet of things terminal marked as Y is taken as a pushing object, and the early warning information is respectively pushed to the pushing object. Further, after the step S2 and before the step S3, the method may further include:

judging whether early warning is needed or not;

specifically, after the alarm is finished, analysis is performed based on currently stored data to determine whether an early warning is required, for example: and analyzing whether a preset number of alarms exist in a preset time period or not based on the position of the alarm center, if so, determining that early warning is needed, otherwise, not performing early warning. The preset time period may be set according to actual conditions, and may be 5S, 6S, and the like, which is not limited herein.

For example, whether a preset number of alarms exist within 10min, with the alarm center as the center of a circle and 1 km as the radius is queried, and the specific numerical value of the preset number may be set according to the actual situation, which is not limited herein, preferably, the preset number may be 5, that is, when the number of alarms exceeds 5 within 10 minutes, it may be considered that early warning is needed.

In a preferred embodiment of this embodiment, fig. 2 is a schematic flowchart of step S1 of the method for intelligently alarming according to the first embodiment of the present invention, where the step S1 specifically includes:

step S11, receiving an alarm request of an alarm;

specifically, when an alarm is triggered by an alarm person, the alarm platform receives a corresponding alarm request, where the alarm request carries an approximate current location of the alarm person and also includes other information, such as an identification number of an alarm terminal (an internet of things terminal) used by the alarm person, alarm time, an alarm type, and related information of the alarm person (identity information, health information, information of an emergency contact person, and the like). Further, the alert request is stored to facilitate subsequent tracking.

Step S12, acquiring the positioning position of the alarm person;

specifically, after an alarm request of an alarm person is received, a positioning position where the alarm person is located is obtained, the positioning position is obtained by positioning and resolving based on positioning enhancement data, and the positioning enhancement data are stored in the alarm platform in advance.

In a preferable embodiment of the present invention, after the step S11 and before the step S12, the method further includes:

step S13, judging whether the alarm is misoperation;

specifically, before the positioning location is obtained, it is determined whether the alarm is a wrong operation, for example, it is determined whether a prompt to cancel the alarm is received within a preset time, where the preset time may be set according to an actual situation, and here, no limitation is made, it is to be noted that, since the alarm needs to be timely, the length of the preset time cannot be too long (for example, cannot exceed 20S), for example, 5S and 6S wait for 6S when receiving the alarm request, and in the process of waiting for 6S, it is determined whether the prompt to cancel the alarm is received, and the prompt to cancel the alarm carries the same identification information as the alarm request (for example, an identification number of the internet of things terminal, etc.), and if the prompt is received, it is determined that the wrong operation is performed, then any subsequent operation is not performed, and the process is ended, otherwise, it is determined that the wrong operation is not performed;

step S14, uploading an alarm request;

specifically, after receiving the alarm request, determining that the alarm does not belong to misoperation, first uploading the alarm request to a corresponding rescue platform, and then going to step S12, it needs to be stated that, if the alarm person performs real name authentication in advance, the alarm request is automatically uploaded to a designated or default rescue platform, or the alarm request is automatically uploaded to a rescue platform closest to the approximate position of the alarm person; if the alarm person does not perform real-name authentication, the alarm request is automatically sent to the emergency contact person, and alarm information is sent timely, so that the rescue efficiency is improved. In a preferred embodiment of this embodiment, a rescue platform is selected according to a transit routing policy, and then an alarm request is reported. The transit routing policy is preferably: according to the closest distance principle, i.e. according to the straight-line distance, closest to the geographical location of the occurrence location, etc.

Further, the uploaded alert request may include the following information:

identification number, alarm time, approximate position, alarm information, event and the like of the terminal of the Internet of things.

It should be noted that, the step S14 may also be performed simultaneously with the step S12, which is not limited herein.

In a preferable embodiment of this embodiment, after step S11, the method further includes:

judging whether the received alarm request is a repeated alarm;

if yes, not processing and filtering the alarm request;

when the judgment is no, go to step S13.

Specifically, when an alarm request is received, whether the currently stored alarm request is consistent with the currently received alarm request or not is judged, if yes, the alarm request is a repeated alarm, otherwise, the repeated alarm is not performed, or when the alarm request is received, whether the same alarm request is received within a time period (for example, 5S) before the current time node or not is judged, and the alarm request is filtered; or whether the same alarm request is received within a time period (for example, 5S) after the current time node, if the same alarm request is received, only one alarm request needs to be processed, and other same alarm requests in the time period are filtered. In the embodiment, the repeated alarm is filtered, so that resources can be saved, and the cost is reduced.

In a preferable embodiment of this embodiment, after step S12, the method further includes:

storing data fed back from the terminal of the Internet of things;

specifically, the data is periodically received from the internet of things terminal and then stored, so that the data can be the basis for subsequent alarm evidence obtaining (such as car insurance claims and the like), and the alarm request is subjected to anonymization processing, for example, the privacy information of an alarm person is subjected to anonymization processing and the like; the data includes: the system comprises position data for positioning calculation according to positioning enhancement data, wireless network data of the position of the terminal of the Internet of things, and original observation data or position information obtained by positioning calculation according to the original observation data.

In a preferred aspect of this embodiment, as shown in fig. 3, a specific flowchart of step S12 of the method for intelligently alarming according to the first embodiment of the present invention is shown, where step S12 specifically includes:

step S121, interacting with the terminal of the Internet of things, and sending corresponding positioning enhancement data to the terminal of the Internet of things;

specifically, the alarm platform needs to establish connection with the internet of things terminal for interaction, and then sends corresponding positioning enhancement data to the internet of things terminal to assist the internet of things terminal in positioning and resolving, so that positioning reliability is improved.

Step S122, receiving position data fed back by the terminal of the Internet of things based on the positioning enhancement data;

specifically, after the positioning calculation is performed by the internet of things terminal, corresponding positioning data can be fed back, and the positioning data can include a positioning position and corresponding alarm data (such as pictures and the like);

in a further preferable scheme of this embodiment, the step S121 specifically includes:

initiating a positioning resolving request to an Internet of things terminal;

specifically, the positioning calculation request carries an approximate position of the alarm person, an inquiry of a calculation type supported by positioning calculation of the internet of things terminal, and the like;

receiving a resolving type fed back by the terminal of the Internet of things;

specifically, the terminal of the internet of things feeds back the resolving type supported by the terminal of the internet of things based on the positioning resolving request.

Sending positioning enhancement data corresponding to the resolving type to the terminal of the Internet of things;

specifically, a database is firstly set for storing various positioning enhancement data, so that the positioning enhancement data can be acquired in time when needed, and the corresponding positioning enhancement data can be acquired according to the resolving type of the internet of things terminal and sent to the internet of things terminal so as to assist the internet of things terminal in positioning resolving and improve the positioning accuracy.

For example: when the terminal of the Internet of things supports satellite positioning, acquiring data such as satellite ephemeris required by positioning and sending the data to the terminal of the Internet of things;

when the Internet of things terminal supports the positioning of a wireless network (Cell & WiFi & BT, namely a communication base station, WIFI or Bluetooth), wireless network data (Cell & WiFi & BT) near the Internet of things terminal is acquired to help the terminal to perform indoor enhanced positioning;

when the terminal of the Internet of things supports inertial navigation, acquiring inertial calibration data and sending the inertial calibration data to the terminal of the Internet of things;

when the terminal of the Internet of things supports high-precision positioning (such as NRTK positioning, Network Real Time information, Network Real-Time dynamic positioning) and local enhanced data is needed, acquiring NRTK differential data near the terminal of the Internet of things and sending the NRTK differential data to the terminal of the Internet of things;

when the Internet of things terminal supports high-precision Positioning (such as PPP-RTK Positioning, precision Point Positioning-Real Time kinematic, and precision single-Point Positioning ambiguity fixing) and needs wide-area enhanced data, PPP-RTK differential data near the Internet of things terminal are obtained and sent to the Internet of things terminal;

further, the resolving process of the internet of things terminal may be:

and performing corresponding positioning calculation according to the received positioning enhancement data (such as ephemeris data, wireless network data, inertial calibration data, NRTK data and PPP-RTK data) to obtain a positioning position.

After the positioning position is obtained, the calculated position data (including the positioning position) is fed back.

It should be noted that the terminal of the internet of things periodically performs positioning calculation and periodically feeds back the position data, where a corresponding period may be 10S or 12S, which is not limited herein.

In a preferable embodiment of this embodiment, after step S122, the method further includes:

step S123, receiving auxiliary data fed back by the terminal of the Internet of things;

specifically, when the terminal of the internet of things performs each calculation, position data is fed back, and then corresponding auxiliary data is fed back, wherein the auxiliary data is at the same time with the position data and is used for further determining the positioning position, and the auxiliary data at least comprises one of the following data: wireless network information of the terminal of the Internet of things and original observation data of the terminal of the Internet of things;

step S124, screening the positioning position based on the auxiliary data and the position data;

specifically, the positioning positions are screened based on the auxiliary data and the position data, that is, reliable positions are further selected, so as to improve the positioning accuracy.

It should be noted that, in this embodiment, the terminal of the internet of things may feed back the position data and the auxiliary data at the same time.

In a preferred scheme of this embodiment, as shown in fig. 4, a specific flowchart of step S124 of the method for intelligently alarming provided in the first embodiment of the present invention is shown, where the step S124 specifically includes:

step S1241, acquiring target area data based on the wireless network information;

specifically, according to the aforementioned wireless network information, a wireless network database, such as a communication base station (Cell) database, a WiFi database, and a Bluetooth (BT) database, is queried, and information of an Access point (hotspot) of the communication base station ID and WiFi/bluetooth is respectively obtained, for example, inquiring a local wireless network database according to the received wireless network information, such as searching the database according to the Cell ID or the WiFiAP, finding the position of the Cell or the WiFi AP, acquiring the position of a communication base station and a corresponding service radius, taking the position as the center of a circle and the service radius as the radius to obtain one (or more) circle(s), taking the parameters of the circle(s) as the target area data, in a variation of this embodiment, the center of the position may be a square with two service radii as the side length, or other shapes may also be used, which is not limited herein. The aforementioned parameters may include: the location of the communication base station, the service radius, etc.

Step S1242, screening the positioning position based on the auxiliary data, the position data and the target area data;

specifically, the positioning positions are screened according to the auxiliary data, the position data and the target area data to obtain a screening result, the screening result is used as a final positioning position, namely, the most reliable position is selected as the positioning position according to the auxiliary data, the position data and the target area data, and the positioning position calculated by the terminal of the internet of things is further verified, so that the positioning reliability can be improved.

In a further preferable solution of this embodiment, the step S1242 specifically includes:

acquiring a first confidence coefficient based on the positioning position and the target area data;

specifically, first, a first confidence is calculated according to a positioning position and target area data, where the first confidence is used to evaluate reliability of the positioning position reported by the terminal of the internet of things, that is, the first confidence may be considered to be reliability of the positioning position obtained by performing positioning calculation by the terminal of the internet of things according to positioning enhancement data, in this embodiment, a circle is taken as an example, the positioning position is compared with the circle, if the positioning position is inside the circle, a first confidence corresponding to the positioning position is 100%, if the positioning position is not in the area where the circle is located, the first confidence is lower, if the positioning position exceeds the range where the circle is located, a distance between the positioning position and a circle center is calculated, then a difference between the distance and a service radius is obtained, if the difference is 1 meter, the corresponding first confidence is 99%, if the difference is 2 meters, the first confidence is 98%, and so on, and for each 1 meter increase in the difference, the corresponding first confidence decreases by 1%. In addition, the distance between the positioning position and the circle center can be calculated in advance, then the difference between the distance and the service radius is obtained, if the difference is smaller than or equal to 0, the first confidence is 100%, and if the difference is larger than 0, the first confidence is calculated according to the mode of exceeding the range of the circle.

Obtaining a second confidence coefficient based on the original observation data and the target area data;

specifically, a second confidence coefficient is calculated according to the original observation data and the template region data, and the second confidence coefficient is used for evaluating the reliability of the position calculated by the cloud, that is, the second confidence coefficient is the reliability of the position obtained by performing positioning calculation according to the original observation data, and the specific process is as follows:

performing cloud computing based on the original observation data to obtain cloud computing position data;

specifically, calculating according to original observation data fed back by the terminal of the internet of things through a cloud end to obtain position data of the terminal of the internet of things, wherein the position data comprises a position calculated by the cloud end;

obtaining a second confidence coefficient based on the position data and the target area data resolved by the cloud end;

specifically, the second confidence is calculated according to the position data and the target data calculated by the cloud, preferably, taking a circle as an example of the target area, comparing the position calculated by the cloud with the area where the circle is located, if the position calculated by the cloud is within the area where the circle is located, the second confidence is 100%, if the difference is not within the area where the circle is located, if the difference is 1 meter, the second confidence is 99%, if the difference is 2 meters, the second confidence is 98%, and so on, if the difference increases by 1 meter, the corresponding first confidence is reduced by 1%. In addition, the distance between the position and the circle center can be calculated in advance, then the difference between the distance and the service radius is obtained, if the difference is smaller than or equal to 0, the second confidence is 100%, and if the difference is larger than 0, the second confidence is calculated according to the mode of exceeding the range of the circle.

It should be noted that the first confidence level and the second confidence level are not limited in order, but are only for distinction.

Screening the positioning positions based on the first confidence coefficient and the second confidence coefficient;

specifically, the screening of the positioning position is performed according to the first confidence degree and the second confidence degree, that is, the screening of the positioning position is performed according to the reliability of the position obtained by performing positioning calculation on the positioning enhancement data and the reliability of the position obtained by performing positioning calculation on the original observation data, and the specific process is as follows:

comparing the first confidence coefficient and the second confidence coefficient with preset values respectively to obtain comparison results;

specifically, the first confidence coefficient and the second confidence coefficient are respectively compared with a preset value, and a comparison result is obtained, wherein the preset value is preferably 100%.

Screening the positioning position based on the comparison result, position data fed back by the terminal of the Internet of things and position data calculated by the cloud end;

specifically, the comparison result, the position data fed back by the internet of things terminal and the position data calculated by the cloud are used for screening the positioning position, for example:

when the first confidence coefficient and the second confidence coefficient are both equal to preset values, screening of the positioning position is performed based on the position data fed back by the internet of things terminal and the position data calculated by the cloud, for example, if the first confidence coefficient and the second confidence coefficient are both 100%, the distance between the positioning position (X1, Y1, Z1) fed back by the internet of things terminal and the position (X2, Y2, Z2) calculated by the cloud is calculated, the difference between the distance and a threshold value is calculated, if the difference is less than or equal to 0, the comprehensive confidence coefficient is considered to be 100%, if the difference is greater than 1, the comprehensive confidence coefficient is lower, at the moment, the comprehensive confidence coefficient is reduced by 1% every time the difference is increased by 1%, wherein the comprehensive confidence coefficient is the reliability of the final positioning position, and at the position calculated by the cloud is used as the final positioning position. The specific value of the threshold may be set according to practical situations, and is not limited herein, and preferably, the threshold is 1 meter.

When one of the first confidence coefficient and the second confidence coefficient is smaller than a preset value and the other confidence coefficient is equal to the preset value, screening the positioning position by using position data corresponding to the confidence coefficient equal to the preset value; if the first confidence coefficient is equal to 100% and the second confidence coefficient is less than 100%, taking the solved position corresponding to the first confidence coefficient as the final positioning position, and the comprehensive confidence coefficient is also 100%; if the second confidence coefficient is equal to 100% and the first confidence coefficient is less than 100%, the second corresponding resolved position is used as a final positioning position, the final positioning position can be used for reporting an alarm, and the comprehensive confidence coefficient is also 100%.

When the first confidence coefficient and the second confidence coefficient are both smaller than a preset value, screening the positioning position by using the position data corresponding to the higher one of the first confidence coefficient and the second confidence coefficient; if the first confidence coefficient and the second confidence coefficient are both smaller than 100%, comparing the first confidence coefficient and the second confidence coefficient, if the first confidence coefficient is higher than the second confidence coefficient, taking the first confidence coefficient as a comprehensive confidence coefficient, and taking a solved position corresponding to the first confidence coefficient as a final positioning position; and if the first confidence coefficient is smaller than the second confidence coefficient, taking the second confidence coefficient as a comprehensive confidence coefficient, and taking the solved position corresponding to the second confidence coefficient as a positioning position.

In another variant of this embodiment, the internet of things terminal performs positioning calculation according to the original observation data to obtain its own position, and then feeds back the position without calculating through the cloud. However, the terminal of the internet of things periodically receives the positioning enhancement data and periodically acquires the original observation data, then periodically performs resolving, and periodically feeds back the resolved data, where the period may be 8S, 10S, 12S, or other time, which is not limited herein. At the moment, the first confidence coefficient is the reliability of the position obtained by the terminal of the internet of things performing positioning calculation according to the positioning enhancement data, and the second confidence coefficient is the reliability of the position obtained by the terminal of the internet of things performing positioning calculation according to the original observation data.

In a preferable scheme of this embodiment, the step S2 specifically includes: selecting a rescue center according to a transfer routing strategy, and then reporting alarm data; the transit routing policy is: and (4) a principle of nearest geographic position, such as selecting a rescue center (rescue platform) nearest to the final positioning position as a receiving object of the alarm data.

Further, the final positioning position and other alarm information (such as characters, photos, audio, video and the like) are combined into alarm data, and then the format of the alarm data is edited and pushed to the nearest rescue center, for example: XX city 110 alarm center in XX zone.

In this embodiment, in order to improve network security, the alarm platform may not be directly connected to the public security intranet, but is connected to the 110 rescue center (or 110 alarm center) through a transit proxy deployed in the public security extranet, and the border gateway is used to push the alarm data to the 110 rescue center deployed in the public security intranet, where the specific pushing process is as follows:

the method comprises the following steps that an alarm platform initiates an alarm push service request to a transfer agent, wherein the request carries relevant information such as an account number, a password and the like pre-distributed by a public security department;

the switching agent authenticates and authorizes the alarm platform according to the password and the account number, and allows to receive the alarm data sent by the alarm platform when passing the authentication and authorization;

the switching agent performs safety protection and intelligent filtering on the received alarm data, for example, judges whether repeated alarm data exist in a period of time, and performs filtering if the repeated alarm data exist in the period of time, so as to avoid repeated alarm; or, whether the alarm data is external attack behavior is detected, if so, safety protection is carried out, and connection is automatically disconnected.

The transit agent pushes the alarm data to a 110 alarm center deployed in a public security intranet through a border gateway, wherein the alarm data from various places may be more, queuing needs to be performed at the border gateway, and pushing can be performed according to a first-in first-out principle.

In the embodiment, the position of the alarm person is positioned by utilizing the positioning enhancement data, so that the positioning accuracy can be improved, and the alarm efficiency is further improved.

Secondly, the alarm data is verified, repeated alarm and false alarm are removed, the alarm effectiveness can be improved, and the human resource cost is reduced.

And moreover, the alarm data are analyzed, and whether regional early warning is needed or not is determined according to the analysis result, so that the loss can be reduced, and the rescue efficiency is improved.

Example two

Based on the first embodiment, as shown in fig. 5, a schematic structural diagram of an intelligent alarm device provided in the second embodiment of the present invention is shown, and for convenience of description, only the parts related to the embodiment of the present invention are shown. The device at least comprises: the alarm device comprises an acquisition unit 1 and an alarm unit 2 connected with the acquisition unit 1, wherein:

the device comprises an acquisition unit 1, a display unit and a control unit, wherein the acquisition unit is used for acquiring the position information of an alarm person when the alarm is triggered;

The alarm unit 2 is used for reporting alarm data;

In a preferable aspect of this embodiment, the apparatus may further include: a registration unit, wherein:

the registration unit is used for registering the alarm person;

In a preferred scheme of this embodiment, firstly, an alarm person is required to initiate an alarm request using an internet of things terminal.

The third method comprises the following steps: alarming through voice;

the method four comprises the following steps: alarming through fingerprints;

The method five comprises the following steps: triggering alarm through keys;

The method six: alarming through infrared identification;

The method comprises the following steps: triggering an alarm through a camera;

In a preferable aspect of this embodiment, the apparatus may further include: early warning unit 3 with alarm unit 2 is connected, wherein:

the early warning unit 3 is used for pushing early warning information when the early warning information needs to be pushed in an early warning area;

When early warning is needed, a circle is drawn by taking an alarm center as a circle center and 1 kilometer as a radius, the positions of all internet of things terminals in a current database (except the internet of things terminals used by an alarm person) are inquired, the distance between each internet of things terminal and the circle center is respectively calculated, if the distance is smaller than the radius (1 kilometer), the distance is marked as Y, if the distance is larger than or equal to the radius, the distance is marked as N, then the internet of things terminal marked as Y is taken as a pushing object, and the early warning information is respectively pushed to the pushing object. Further, the apparatus may further include: and a judgment unit connected with the early warning unit 3, wherein:

the judging unit is used for judging whether early warning is needed or not;

specifically, after the alarm is finished, analysis is performed based on currently stored data to determine whether an early warning is required, for example: whether a preset number of alarms exist in a preset time period is analyzed based on the position of the alarm center, if yes, early warning is determined to be needed, otherwise, early warning is not conducted, and alarm efficiency and rescue efficiency can be improved when a dangerous case occurs. The preset time period may be set according to actual conditions, for example, 5S, 6S, and this is not limited herein.

For example, whether a preset number of alarms exist within 10min, with the alarm center as the center of a circle and 1 km as the radius is queried, and the specific numerical value of the preset number may be set according to the actual situation, which is not limited herein, preferably, the preset number may be 5, that is, when the number of alarms exceeds 5 within 10 minutes, it may be considered that early warning is needed. It should be noted that any terminal of the internet of things can receive the early warning information pushed by the nearby alarm center.

In a preferable aspect of this embodiment, the acquiring unit 1 includes: a receiving subunit and an acquiring subunit connected with the receiving subunit, wherein:

the receiving subunit is used for receiving an alarm request of an alarm person;

In a preferred embodiment of this embodiment, a rescue platform is selected according to a transit routing policy, and then an alarm request is reported. The transit routing policy is preferably: according to the closest distance principle, i.e. according to the straight-line distance, closest to the geographical location of the occurrence location, etc.

The acquisition subunit is used for acquiring the positioning position of the alarm person;

In a preferable aspect of this embodiment, the obtaining unit 1 may further include: the system comprises a judging subunit connected with a receiving subunit and an uploading subunit connected with the judging subunit, wherein:

the judging subunit is used for judging whether the alarm is misoperation or not;

specifically, before the positioning location is obtained, it is determined whether the alarm is a wrong operation, for example, it is determined whether a prompt to cancel the alarm is received within a preset time, the preset time may be set according to an actual situation, which is not limited herein, it needs to be described that, since the alarm needs to be timely, the length of the preset time cannot be too long (for example, cannot exceed 20S), for example, 5S and 6S wait for 6S when receiving the alarm request, and in the process of waiting for 6S, it is determined whether the prompt to cancel the alarm is received, the prompt to cancel the alarm carries the same identification information as the alarm request (for example, an identification number of the terminal of the internet of things, etc.), and if the prompt is received, it is determined that the operation is a wrong operation, then any subsequent operation is not performed, the flow is ended, otherwise, the description is not a wrong operation, and then the wrong;

the uploading subunit is used for uploading the alarm request;

specifically, after receiving an alarm request, determining that the alarm does not belong to misoperation, firstly uploading the alarm request to a corresponding rescue platform, wherein if the alarm person performs real-name authentication in advance, the alarm request is automatically uploaded to a designated or default rescue platform, or the alarm request is automatically uploaded to a rescue platform closest to the approximate position of the alarm person; if the alarm person does not perform real-name authentication, the alarm request is automatically sent to the emergency contact person, and alarm information is sent timely, so that the rescue efficiency is improved.

Further, the uploaded alert request may include the following information:

It should be noted that the uploading of the alarm request and the uploading of the alarm data may be performed simultaneously.

In a preferable aspect of this embodiment, the determining subunit is further configured to: judging whether the received alarm request is a repeated alarm;

if yes, not processing and filtering the alarm request;

and when the judgment result is no, continuously judging whether the operation is misoperation.

In a preferable aspect of this embodiment, the obtaining unit 1 may further include: a storage subunit connected to the acquisition subunit, wherein:

the storage subunit is used for storing data fed back from the terminal of the Internet of things;

In a preferable aspect of this embodiment, the acquiring subunit may include: a connection subunit, a receiving subunit connected with the connection subunit, wherein:

the connection subunit is used for interacting with the terminal of the Internet of things and sending corresponding positioning enhancement data to the terminal of the Internet of things;

The receiving subunit is used for receiving the position data fed back by the Internet of things terminal based on the positioning enhancement data;

in a further preferred embodiment of this embodiment, the linker unit is specifically configured to:

initiating a positioning resolving request to an Internet of things terminal;

receiving a resolving type fed back by the terminal of the Internet of things;

when the Internet of things terminal supports the positioning of a wireless network (Cell & WiFi & BT), wireless network data (Cell & WiFi & BT) near the Internet of things terminal is acquired to help the terminal to carry out indoor enhanced positioning;

when the terminal of the Internet of things supports high-precision positioning (such as NRTK positioning) and local enhanced data is needed, acquiring NRTK differential data near the terminal of the Internet of things and sending the NRTK differential data to the terminal of the Internet of things;

when the Internet of things terminal supports high-precision positioning (such as PPP-RTK positioning) and needs wide-area enhanced data, acquiring PPP-RTK differential data near the Internet of things terminal and sending the PPP-RTK differential data to the Internet of things terminal;

further, the resolving process of the internet of things terminal may be:

In a preferred aspect of this embodiment, the receiving subunit is further configured to:

receiving auxiliary data fed back by the terminal of the Internet of things;

in a preferable aspect of this embodiment, the acquiring subunit further includes: a screening subunit connected to the receiving subunit, wherein:

the screening subunit is used for screening the positioning position based on the auxiliary data and the position data;

In a preferred embodiment of this embodiment, the screening subunit is specifically configured to:

acquiring target area data based on wireless network information;

specifically, according to the foregoing wireless network information, querying a wireless network database, such as a communication base station (Cell) database, a WiFi database, and a Bluetooth (BT) database, to respectively obtain information of a communication base station ID and a WiFi/bluetooth AP, for example, querying a local wireless network database according to the received wireless network information, such as searching the database according to the Cell ID or the WiFi AP, and finding a location of the Cell or the WiFi AP, further including obtaining a location of the communication base station and a corresponding service radius, and taking the location as a center of a circle and the service radius as a radius to obtain one (or more) circles, and taking parameters of the circles as target area data. The aforementioned parameters may include: the location of the communication base station, the service radius, etc.

Screening positioning positions based on the auxiliary data, the position data and the target area data;

specifically, the positioning positions are screened according to the auxiliary data, the position data and the target area data, namely, the most reliable position is selected as the positioning position according to the auxiliary data, the position data and the target area data, and the positioning position calculated by the terminal of the internet of things is further verified, so that the positioning reliability can be improved.

In a further preferred embodiment of this embodiment, the specific process of screening the positioning location based on the assistance data, the location data, and the target area data is as follows:

In a preferred scheme of this embodiment, the alarm unit 2 is specifically configured to:

selecting a rescue center according to a transfer routing strategy, and then reporting alarm data; the transit routing policy is: and (4) a principle of nearest geographic position, such as selecting a rescue center (rescue platform) nearest to the final positioning position as a receiving object of the alarm data.

It should be noted that the device is provided with various databases, and the databases may include: a database for storing positioning enhancement data, a database for storing alarm requests and alarm data, a database for storing data uploaded by an internet of things terminal and the like;

EXAMPLE III

The invention further provides an alarm platform, the alarm platform is preferably an intelligent internet of things alarm platform, the alarm platform comprises an alarm terminal, and the specific structure, the working principle and the brought technical effects of the alarm terminal are consistent with those described in the embodiments, and are not repeated herein. In addition, this warning platform still is provided with many databases, for example: a positioning algorithm database, a WIFT & BT database, a transfer route database, a positioning enhancement database, an alarm database and the like.

Example four

Based on the third embodiment, as shown in fig. 6, a schematic structural diagram of an alarm terminal provided in the fourth embodiment of the present invention is shown, where the alarm terminal includes: the alarm platform 61, the internet of things terminal 62 connected to the alarm platform 61, and the rescue platform 63, where the alarm platform 61 includes the alarm device according to the second embodiment, and the number of the internet of things terminals 62 is one or more, which is not limited herein.

Specifically, when an alarm person needs to give an alarm in case of emergency, an alarm request is sent to an alarm platform 61 through an internet of things terminal 62, the alarm platform 61 verifies the alarm request, interacts with the internet of things terminal 62 when non-misoperation and non-repeated alarm are determined, inquires about a positioning algorithm supported by the internet of things terminal 62, then sends corresponding positioning enhancement data to the internet of things terminal 62, so that the internet of things terminal 62 performs positioning calculation based on the positioning enhancement data to obtain a positioning position and uploads the positioning position to the alarm platform 61, the alarm platform 61 verifies and screens the obtained most reliable position and then sends alarm information to a rescue platform 63, and the rescue platform 63 receives and stores the alarm information and then sends an alarm to prompt the person to be rescued to prompt the person to rescue.

In a preferred aspect of this embodiment, the alarm terminal further includes: the cloud end is used for positioning and resolving the position of the internet of things terminal 62 of the alarm platform 61 based on original observation data and providing required data service for the alarm platform 61, and the switching agent is used for checking and authenticating the alarm platform 61 after receiving the alarm data of the alarm platform 61 and pushing the alarm data to the 110 alarm center of the public security intranet, wherein the switching agent is connected with the alarm platform 61 and is used for positioning and resolving the position of the internet of things terminal 62 based on the original observation data and providing required data service for the alarm platform 61.

The internet of things terminal 62 includes a structure, a database, a positioning calculation module, a transceiver module, etc. required by one or more of the aforementioned alarm means.

EXAMPLE five

Fig. 7 is a schematic structural diagram of a server according to a fifth embodiment of the present invention. As shown in fig. 7, the server 7 of this embodiment includes: a processor 70, a memory 71 and a computer program 72 stored in said memory 71 and executable on said processor 70. The processor 70, when executing the computer program 72, implements the steps of the first embodiment of the method described above, such as the steps S1-S3 shown in fig. 1. The processor 70, when executing the computer program 72, implements the functions of the various modules/units in the above-described apparatus embodiments, such as the functions of the modules 1 to 3 shown in fig. 5.

Illustratively, the computer program 72 may be partitioned into one or more modules/units that are stored in the memory 71 and executed by the processor 70 to implement the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 72 in the server 7. For example, the computer program 72 may be divided into an acquisition module, an alarm module, and an early warning module, and each module has the following specific functions:

the receiving module is used for acquiring the position information of an alarm person when an alarm is triggered, wherein the position information comprises a positioning position where the alarm person is located, and the positioning position is obtained by resolving based on positioning enhancement data;

the acquisition module is used for reporting alarm data, and the alarm data comprises the position information of the alarm person;

and the early warning module is used for pushing the early warning information when the early warning information needs to be pushed in the early warning area.

The server 7 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The server may include, but is not limited to, a processor 70, a memory 71. Those skilled in the art will appreciate that fig. 7 is merely an example of a server 7 and does not constitute a limitation of the server 7 and may include more or fewer components than shown, or some components in combination, or different components, e.g., the server may also include input output devices, network access devices, buses, etc.

The Processor 70 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The storage 71 may be an internal storage unit of the server 7, such as a hard disk or a memory of the server 7. The memory 71 may also be an external storage device of the server 7, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the server 7. Further, the memory 71 may also include both an internal storage unit and an external storage device of the server 7. The memory 71 is used for storing the computer program and other programs and data required by the server. The memory 71 may also be used to temporarily store data that has been output or is to be output.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.

Those of ordinary skill in the art would appreciate that the modules, elements, and/or method steps of the various embodiments described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, etc. It should be noted that the computer readable medium may contain content that has been appropriately increased or decreased as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media may not include electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.

The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims

1. A method of intelligent alarm, comprising:

2. The method of claim 1, wherein obtaining location information of the alarmer when the alarm is triggered comprises:

receiving an alarm request of an alarm person;

and acquiring the positioning position of the alarm person.

3. The method of claim 2, wherein the alarm request carries a general location of the alarmer, and wherein receiving the alarm request from the alarmer and prior to obtaining the location of the alarmer comprises:

judging whether the alarm is misoperation or not;

if not, uploading the alarm request;

when the judgment is yes, the process is stopped.

4. The method according to claim 3, wherein the judging whether the alarm is a malfunction is specifically:

and judging whether a prompt for canceling the alarm is received or not within the preset time, and if so, determining that the operation is wrong.

5. The method of claim 2, wherein obtaining location information of the alarmed person comprises:

interacting with an Internet of things terminal, and sending corresponding positioning enhancement data to the Internet of things terminal;

and receiving position data fed back by the terminal of the Internet of things based on the positioning enhancement data, wherein the position data comprises a positioning position.

6. The method of claim 5, wherein interacting with an internet of things terminal and sending corresponding positioning enhancement data to the internet of things terminal comprises:

initiating a positioning resolving request to the terminal of the Internet of things;

receiving a resolving type fed back by the terminal of the Internet of things;

and sending positioning enhancement data corresponding to the resolving type to the Internet of things terminal.

7. The method of claim 5, wherein receiving the location data fed back by the IOT terminal based on the positioning enhancement data further comprises:

receiving auxiliary data fed back by the terminal of the Internet of things;

and screening the positioning position based on the auxiliary data and the position data.

8. The method according to claim 7, characterized in that said assistance data comprises at least: the wireless network information, the screening of the positioning position based on the auxiliary data and the position data comprises:

acquiring target area data based on the wireless network information;

and screening the positioning position based on the auxiliary data, the position data and the target area data.

9. The method of claim 8, wherein the assistance data further comprises: the screening of the positioning position based on the auxiliary data, the position data and the target area data comprises the following steps:

obtaining a second confidence based on the original observation data and the target region data;

and screening the positioning position based on the first confidence coefficient and the second confidence coefficient.

10. The method of claim 9, wherein obtaining a second confidence level based on the raw observation data and the target region data comprises:

and obtaining a second confidence coefficient based on the position data calculated by the cloud and the target area data.

11. The method of claim 10, wherein the screening of the location based on the first confidence level and the second confidence level comprises:

and screening the positioning position based on the comparison result, the position data fed back by the terminal of the Internet of things and the position data calculated by the cloud end.

12. The method of claim 11, wherein the screening of the positioning location based on the comparison result, the location data fed back by the internet of things terminal, and the location data calculated by the cloud comprises:

when the first confidence coefficient and the second confidence coefficient are equal to preset values, screening positioning positions based on position data fed back by the internet of things terminal and position data calculated by the cloud end;

when one of the first confidence coefficient and the second confidence coefficient is smaller than the preset value and the other confidence coefficient is equal to the preset value, screening the positioning position by using position data corresponding to the confidence coefficient equal to the preset value;

and when the first confidence coefficient and the second confidence coefficient are both smaller than the preset value, screening the positioning position by using the position data corresponding to the higher one of the first confidence coefficient and the second confidence coefficient.

13. The method according to any of claims 1 to 12, further comprising, after reporting the alarm data:

when early warning information needs to be pushed in the early warning area, the early warning information is pushed, and the early warning information comprises warning data.

14. The method according to any one of claims 1 to 12, wherein the reporting of the alarm data specifically comprises:

and selecting a corresponding rescue platform according to the route switching strategy to report the alarm data.

15. An intelligent alarm device, comprising:

16. An alarm platform comprising the intelligent alarm apparatus of claim 14.

17. An alarm terminal, comprising an internet of things terminal, a rescue platform and the alarm platform of claim 16, wherein:

and the rescue platform is used for receiving and storing the alarm data uploaded by the alarm platform and sending an alarm to prompt rescue.

18. A server comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any one of claims 1 to 14 when executing the computer program.

19. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 14.