CN110312217B

CN110312217B - Positioning calibration method based on intelligent safety helmet and cloud service platform

Info

Publication number: CN110312217B
Application number: CN201910499214.0A
Authority: CN
Inventors: 唐文; 褚松涛
Original assignee: Individual
Current assignee: Individual
Priority date: 2019-06-11
Filing date: 2019-06-11
Publication date: 2021-07-23
Anticipated expiration: 2039-06-11
Also published as: CN110312217A

Abstract

The invention discloses a positioning calibration method based on an intelligent safety helmet and a cloud service platform, wherein the method comprises the steps that the cloud service platform receives first real-time position information, sent by a target intelligent safety helmet, of the target intelligent safety helmet, determines second real-time position information of first intelligent equipment, the first intelligent equipment is intelligent equipment capable of establishing short-distance wireless communication with the target intelligent safety helmet, and calibrates the first real-time position information, located by the target intelligent safety helmet, based on the second real-time position information of the first intelligent equipment to obtain actual real-time position information of the target intelligent safety helmet. Therefore, the position of the intelligent safety helmet can be calibrated through the real-time position information of the intelligent equipment establishing short-distance wireless communication with the intelligent safety helmet, the accuracy of the position of the intelligent safety helmet can be improved, and the engineering supervision efficiency is improved; and timely inform the dangerous condition to the operator, thereby improving the safety of the operator during operation.

Description

Positioning calibration method based on intelligent safety helmet and cloud service platform

Technical Field

The invention relates to the technical field of intelligent safety helmets, in particular to a positioning calibration method and a cloud service platform based on an intelligent safety helmet.

Background

The safety helmet is one of the necessary safety protection tools for engineering operation, and the main function of the safety helmet is to avoid or slow down the injury of the brain of a human body caused by the impact of falling objects and flying objects or the extrusion of hard objects.

With the development of the technology and the requirements of engineering operators, the development of the safety helmet is broken through to a certain extent, and a positioning function is added to the safety helmet for the convenience of supervision engineering. However, practice shows that the following methods are mainly used for positioning the safety helmet: although the GPS/Beidou positioning method and the WIFI positioning method are convenient for project supervision to a certain extent, the positions obtained by the GPS/Beidou positioning method and the WIFI positioning method are not accurate enough, so that the project supervision efficiency is low. Therefore, how to improve the accuracy of the position of the intelligent safety helmet is important, so that the supervision efficiency of the project is improved.

Disclosure of Invention

The embodiment of the invention aims to solve the technical problem of providing a positioning calibration method based on an intelligent safety helmet and a cloud service platform, wherein the position of the intelligent safety helmet is calibrated through real-time position information of intelligent equipment establishing short-distance wireless communication with the intelligent safety helmet, so that the position accuracy of the intelligent safety helmet can be improved, and the engineering supervision efficiency is improved.

In order to solve the technical problem, a first aspect of the embodiments of the present invention discloses a positioning calibration method based on an intelligent safety helmet, including: the method comprises the steps that a cloud service platform receives first real-time position information, located by a target intelligent safety helmet, sent by the target intelligent safety helmet;

the cloud service platform determines second real-time position information of first intelligent equipment, wherein the first intelligent equipment is intelligent equipment capable of establishing short-distance wireless communication with the target intelligent safety helmet;

the cloud service platform calibrates first real-time position information located by the target intelligent safety helmet based on second real-time position information of the first intelligent device to obtain actual real-time position information of the target intelligent safety helmet.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, before the cloud service platform calibrates, based on the second real-time location information of the first smart device, the first real-time location information where the target smart helmet is located, and obtains actual real-time location information of the target smart helmet, the method further includes:

the cloud service platform judges whether the second real-time position information is the real position information of the first intelligent device;

when the second real-time position information is judged to be the real position information of the first intelligent equipment, the cloud service platform triggers and executes the operation of calibrating the first real-time position information positioned by the target intelligent safety helmet based on the second real-time position information of the first intelligent equipment to obtain the actual real-time position information of the target intelligent safety helmet;

wherein, the cloud service platform judges whether the second real-time location information is the real location information of the first intelligent device, including:

the cloud service platform receives image data which are sent by the first intelligent equipment and correspond to the first intelligent equipment;

the cloud service platform determines third real-time position information corresponding to the image data according to the image data, and judges whether a distance difference value corresponding to the third real-time position information and the second real-time position information is smaller than a preset distance difference value;

when the distance difference value corresponding to the third real-time position information and the second real-time position information is smaller than the preset distance difference value, the cloud service platform determines that the second real-time position information is the real position information of the first intelligent device.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, before the cloud service platform determines the second real-time location information of the first smart device, the method further includes:

the cloud service platform determines the number of second intelligent devices capable of establishing short-range wireless communication with the target intelligent safety helmet;

when the number of the second intelligent devices capable of establishing short-distance wireless communication with the target intelligent safety helmet is larger than 1, the cloud service platform determines a signal strength value of the short-distance wireless communication between each second intelligent device in all the second intelligent devices and the target intelligent safety helmet;

and the cloud service platform determines the strongest signal strength value from all the signal strength values, determines a second intelligent device corresponding to the strongest signal strength value as a first intelligent device, and triggers and executes the operation of determining the second real-time position information of the first intelligent device.

the cloud service platform calls a preset moving path corresponding to the target intelligent safety helmet from a predetermined intelligent safety helmet database, wherein the intelligent safety helmet database is used for storing data of the target intelligent safety helmet, and the data at least comprises moving path data of the target intelligent safety helmet;

the cloud service platform judges whether the first real-time position information is matched with the preset moving path;

when the first real-time position information is judged to be not matched with the preset moving path, the cloud service platform triggers and executes the operation of determining the second real-time position information of the first intelligent equipment;

wherein, the cloud service platform judges whether the first real-time position information is matched with the preset moving path, including:

the cloud service platform determines real-time coordinate information corresponding to the first real-time position information;

the cloud service platform determines all pieces of preset coordinate information corresponding to the preset moving paths, and judges whether the real-time coordinate information is one piece of preset coordinate information in all pieces of preset coordinate information;

and when the real-time coordinate information is judged not to be one preset coordinate information of all the preset coordinate information, the cloud service platform determines that the first real-time position information is not matched with the preset moving path.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, after the cloud service platform calibrates, based on the second real-time location information of the first smart device, first real-time location information where the target smart helmet is located, and obtains actual real-time location information of the target smart helmet, the method further includes:

the cloud service platform sends a position confirmation notice to third intelligent equipment, the position confirmation notice is used for informing an operator wearing the target intelligent safety helmet to confirm the position of the target intelligent safety helmet, the position confirmation notice at least comprises actual real-time position information of the target intelligent safety helmet, and the third intelligent equipment comprises at least one of the target intelligent safety helmet and a user terminal corresponding to the operator of the target intelligent safety helmet.

The second aspect of the embodiments of the present invention discloses a cloud service platform, which includes a receiving module, a determining module, and a calibrating module, wherein:

the receiving module is used for receiving first real-time position information, sent by a target intelligent safety helmet, of the target intelligent safety helmet, where the target intelligent safety helmet is located;

the determining module is used for determining second real-time position information of a first intelligent device, wherein the first intelligent device is an intelligent device capable of establishing short-distance wireless communication with the target intelligent safety helmet;

the calibration module is used for calibrating the first real-time position information positioned by the target intelligent safety helmet based on the second real-time position information of the first intelligent equipment to obtain the actual real-time position information of the target intelligent safety helmet.

As an optional implementation manner, in a second aspect of the embodiment of the present invention, the cloud service platform further includes a first determining module, where:

the first judging module is used for judging whether the second real-time position information is the real position information of the first intelligent device or not before the cloud service platform calibrates the first real-time position information positioned by the target intelligent safety cap based on the second real-time position information of the first intelligent device to obtain the actual real-time position information of the target intelligent safety cap;

the calibration module is specifically configured to:

when the first judging module judges that the second real-time position information is the real position information of the first intelligent equipment, calibrating the first real-time position information positioned by the target intelligent safety helmet based on the second real-time position information of the first intelligent equipment to obtain the actual real-time position information of the target intelligent safety helmet;

the way for judging whether the second real-time location information is the real location information of the first intelligent device by the first judging module is specifically as follows:

receiving image data which are sent by the first intelligent equipment and correspond to the first intelligent equipment;

determining third real-time position information corresponding to the image data according to the image data, and judging whether a distance difference value corresponding to the third real-time position information and the second real-time position information is smaller than a preset distance difference value;

and when the distance difference value corresponding to the third real-time position information and the second real-time position information is smaller than the preset distance difference value, determining that the second real-time position information is the real position information of the first intelligent device.

As an optional implementation manner, in the second aspect of the embodiment of the present invention, the determining module is further configured to determine, before determining the second real-time location information of the first smart device, the number of second smart devices capable of establishing short-range wireless communication with the target smart helmet;

the determining module is further configured to determine a signal strength value of short-range wireless communication between each of the second intelligent devices and the target intelligent safety helmet, when it is determined that the number of second intelligent devices capable of establishing short-range wireless communication with the target intelligent safety helmet is greater than 1;

the determining module is further configured to determine a strongest signal strength value from all the signal strength values, determine a second intelligent device corresponding to the strongest signal strength value as a first intelligent device, and trigger execution of the operation of determining the second real-time location information of the first intelligent device.

As an optional implementation manner, in a second aspect of the embodiment of the present invention, the cloud service platform further includes a calling module and a second determining module, where:

the calling module is used for calling a preset moving path corresponding to the target intelligent safety helmet from a predetermined intelligent safety helmet database before the determining module determines the second real-time position information of the first intelligent device, wherein the intelligent safety helmet database is used for storing data of the target intelligent safety helmet, and the data at least comprises moving path data of the target intelligent safety helmet;

the second judging module is configured to judge whether the first real-time location information matches the preset moving path, and when it is judged that the first real-time location information does not match the preset moving path, trigger the determining module to perform the operation of determining the second real-time location information of the first intelligent device;

the second determining module determines whether the first real-time position information matches the preset moving path specifically as follows:

determining real-time coordinate information corresponding to the first real-time position information;

determining all pieces of preset coordinate information corresponding to the preset moving path, and judging whether the real-time coordinate information is one piece of preset coordinate information in all pieces of preset coordinate information;

and when the real-time coordinate information is judged not to be one of the preset coordinate information, determining that the first real-time position information is not matched with the preset moving path.

As an optional implementation manner, in a second aspect of the embodiment of the present invention, the cloud service platform further includes a sending module, where:

the sending module is used for the calibration module to calibrate first real-time position information located by the target intelligent safety cap based on second real-time position information of the first intelligent equipment, and after actual real-time position information of the target intelligent safety cap is obtained, a position confirmation notice is sent to third intelligent equipment, the position confirmation notice is used for notifying an operator wearing the target intelligent safety cap to confirm the position of the target intelligent safety cap, the position confirmation notice at least comprises the actual real-time position information of the target intelligent safety cap, and the third intelligent equipment comprises at least one of the target intelligent safety cap and a user terminal corresponding to the operator of the target intelligent safety cap.

A third aspect of the embodiments of the present invention discloses another cloud service platform, where the cloud service platform includes:

a memory storing executable program code;

a processor coupled with the memory;

the processor calls the executable program code stored in the memory to execute the positioning calibration method based on the intelligent safety helmet disclosed by the first aspect of the embodiment of the invention.

The fourth aspect of the present invention discloses a computer storage medium, where a computer instruction is stored, and when the computer instruction is called, the computer instruction is used to execute the positioning calibration method based on the intelligent safety helmet disclosed in the first aspect of the present invention.

The fifth aspect of the embodiment of the present invention discloses a computer program product, which, when running on a computer, causes the computer to execute the positioning calibration method based on the intelligent safety helmet disclosed in the first aspect of the embodiment of the present invention.

Compared with the prior art, the invention has the following beneficial effects:

the invention discloses a positioning calibration method based on an intelligent safety helmet, which is applied to a cloud service platform and comprises the following steps: the method comprises the steps that a cloud service platform receives first real-time position information, located by a target intelligent safety helmet, sent by the target intelligent safety helmet; the cloud service platform determines second real-time position information of first intelligent equipment, wherein the first intelligent equipment is intelligent equipment capable of establishing short-distance wireless communication with a target intelligent safety helmet; the cloud service platform calibrates the first real-time position information located by the target intelligent safety helmet based on the second real-time position information of the first intelligent device to obtain the actual real-time position information of the target intelligent safety helmet. Therefore, the position of the intelligent safety helmet can be calibrated through the real-time position information of the intelligent equipment establishing short-distance wireless communication with the intelligent safety helmet, the position accuracy of the intelligent safety helmet can be improved, and the engineering supervision efficiency is improved; the dangerous condition is informed to the operator in time, so that the safety of the operator during operation is improved; and is convenient for flexibly allocating the operators nearby according to the emergency.

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 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 that other drawings can be obtained according to the drawings without creative efforts.

FIG. 1 is a schematic flow chart of a positioning calibration method based on an intelligent safety helmet according to an embodiment of the present invention;

FIG. 2 is a schematic flow chart of another positioning calibration method based on an intelligent safety helmet according to an embodiment of the present disclosure;

fig. 3 is a schematic structural diagram of a cloud service platform disclosed in an embodiment of the present invention;

FIG. 4 is a schematic structural diagram of another cloud service platform disclosed in the embodiment of the present invention;

fig. 5 is a schematic structural diagram of another cloud service platform disclosed in the embodiment of the present invention.

Detailed Description

For better understanding and implementation, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

The terms "comprises," "comprising," and any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or modules is not necessarily limited to those steps or modules explicitly listed, but may include other steps or modules not expressly listed or inherent to such process, method, article, or apparatus. In addition, the terms "first", "second", and the like in the description and the claims of the present invention are only used for distinguishing different objects, and it is possible for a person having ordinary skill in the art to understand the specific meanings of the above terms in the present invention according to specific situations.

The embodiment of the invention discloses a positioning calibration method based on an intelligent safety helmet and a cloud service platform, which can calibrate the position of the intelligent safety helmet through real-time position information of intelligent equipment establishing short-distance wireless communication with the intelligent safety helmet, can improve the accuracy of the position of the intelligent safety helmet and further improve the supervision efficiency of engineering; the dangerous condition is informed to the operator in time, so that the safety of the operator during operation is improved; and is convenient for flexibly allocating the operators nearby according to the emergency. The following are detailed below.

Example one

Referring to fig. 1, fig. 1 is a schematic flow chart of a positioning calibration method based on an intelligent safety helmet according to an embodiment of the present invention. The method described in fig. 1 may be applied to terminal Devices having a cloud service platform, such as smart phones (Android phones, iOS phones, etc.), smart wearable Devices (such as smart phone watches), tablet computers, palmtop computers, and other Internet Devices (MID), and the embodiments of the present invention are not limited thereto. The method is applied to engineering places such as electric power engineering, railway engineering, building engineering, safety supervision and rescue engineering, mine engineering, metallurgical engineering, petroleum exploration engineering, forest felling engineering, tunnel engineering and the like, and the embodiment of the invention is not limited. As shown in fig. 1, the positioning calibration method based on the intelligent safety helmet may include the following steps:

101, a cloud service platform receives first real-time position information, located by a target intelligent safety helmet, sent by the target intelligent safety helmet.

In the embodiment of the present invention, the first real-time location information located by the target intelligent safety helmet may be real-time location information located by a locating device on the intelligent safety helmet.

In the embodiment of the invention, the target intelligent safety helmet can be divided into different types of safety helmets according to different responsibility posts, and the safety helmets can be distinguished by different colors, such as: red for the management responsibility station, blue for the front line responsibility station, etc., and the embodiment of the present invention is not limited.

102. The cloud service platform determines second real-time position information of first intelligent equipment, and the first intelligent equipment is intelligent equipment capable of establishing short-distance wireless communication with the target intelligent safety helmet.

In the embodiment of the present invention, the first intelligent device may include any one of other intelligent safety helmets and terminal devices. For example: the first smart device is a smart device in a circular area with the target smart helmet as a center and a first preset distance (e.g., 150m) as a radius, or the first smart device is a smart device in a rectangular area with the target smart helmet as a center, a second preset distance (e.g., 200m) as a long side and a third preset distance (e.g., 100m) as a short side. Wherein the other intelligent safety helmet is an intelligent safety helmet other than the target intelligent safety helmet. The terminal device may include any one of a shooting device in an area where the target intelligent safety helmet is currently located, a monitoring device in an area where the target intelligent safety helmet is currently located, a user terminal of an operator wearing the target intelligent safety helmet, a control device in an area where the target intelligent safety helmet is currently located, and a user terminal of an operator wearing other intelligent safety helmets, which is not limited in the embodiment of the present invention.

In this embodiment of the present invention, the short-range wireless communication is used to indicate a manner in which communication can be performed within a preset short-range (e.g., 150m), and the short-range wireless communication may include at least one of bluetooth communication, radio frequency identification communication, ZigBee communication, ultra wideband communication, Hilink protocol communication, WiFi communication, Mesh communication, Z-Wave communication, NFC communication, and LiFi communication, which is specifically determined according to a use environment of a target smart helmet, and the embodiment of the present invention is not limited.

As an optional embodiment, before performing step 102, the method for calibrating positioning based on the smart helmet may further include the following steps:

the cloud service platform determines the number of second intelligent devices capable of establishing short-distance wireless communication with the target intelligent safety helmet;

when the number of the second intelligent devices capable of establishing short-distance wireless communication with the target intelligent safety helmet is larger than 1, the cloud service platform determines the signal strength value of the short-distance wireless communication between each second intelligent device in all the second intelligent devices and the target intelligent safety helmet;

the cloud service platform determines the strongest signal strength value from all the signal strength values, determines the second intelligent device corresponding to the strongest signal strength value as the first intelligent device, and triggers execution of step 102.

In this alternative embodiment, please refer to the detailed description of the first intelligent device for the description of the second intelligent device, which is not described herein again.

Therefore, the alternative embodiment can improve the accuracy of the position calibration of the intelligent safety helmet by determining the intelligent device corresponding to the strongest signal value of all intelligent devices capable of establishing short-distance wireless communication with the intelligent safety helmet as the required intelligent device.

As another optional embodiment, before performing step 102, and/or after performing the above optional embodiment, and before performing step 102, the method for calibrating positioning based on an intelligent safety helmet may further include the following steps:

when the first real-time position information is judged not to be matched with the preset moving path, the cloud service platform triggers and executes the step 102;

in this optional embodiment, the movement path data of the target intelligent safety helmet may include at least one of a preset movement stride, a preset movement direction, and coordinate information corresponding to the preset movement path of the target intelligent safety helmet. The data may further include at least one of information related to the operator corresponding to the preset movement path and a preset time required for the operator to finish the preset movement path. The related information of the operator may include at least one of a name, a job number, a department, a position, a sex, and an age of the operator, which is not limited in the embodiments of the present invention.

In this alternative embodiment, the smart hat database is further configured to store data for a plurality of smart hats other than the target smart hat, and the data includes at least movement path data for the target smart hat.

In this optional embodiment, as an optional implementation manner, the determining, by the cloud service platform, whether the first real-time location information matches the preset moving path may include:

the cloud service platform determines all pieces of preset coordinate information corresponding to the preset moving path and judges whether the real-time coordinate information is one piece of preset coordinate information in all pieces of preset coordinate information;

and when the real-time coordinate information is judged not to be a certain preset coordinate information in all the preset coordinate information, the cloud service platform determines that the first real-time position information is not matched with the preset moving path.

Therefore, in the optional embodiment, before determining the real-time position information of the intelligent device capable of establishing short-distance wireless communication with the intelligent safety helmet, whether the real-time position information of the intelligent safety helmet is matched with the preset moving path or not is judged, and the operation of determining the real-time position information of the intelligent device is executed only when the real-time position information of the intelligent device is not matched with the preset moving path, so that the communication cost between the intelligent safety helmet and the intelligent device and the cloud service platform can be reduced.

103. The cloud service platform calibrates the first real-time position information located by the target intelligent safety helmet based on the second real-time position information of the first intelligent device to obtain the actual real-time position information of the target intelligent safety helmet.

In an embodiment of the present invention, as an optional implementation manner, the calibrating, by the cloud service platform, the first real-time location information located by the target intelligent safety helmet based on the second real-time location information of the first intelligent device to obtain the actual real-time location information of the target intelligent safety helmet may include:

the cloud service platform determines an electronic map corresponding to the second real-time position information of the first intelligent device;

and the cloud service platform calibrates the first real-time position information positioned by the target intelligent safety helmet according to the electronic map to obtain the actual real-time position information of the target intelligent safety helmet.

As another alternative embodiment, after step 103 is executed, the method for calibrating positioning based on the intelligent safety helmet may further include the following steps:

the cloud service platform sends a position confirmation notice to third intelligent equipment, the position confirmation notice is used for notifying an operator wearing the target intelligent safety helmet to confirm the position of the target intelligent safety helmet, the position confirmation notice at least comprises actual real-time position information of the target intelligent safety helmet, and the third intelligent equipment comprises at least one of the target intelligent safety helmet and a user terminal corresponding to the operator of the target intelligent safety helmet.

In this optional embodiment, the position confirmation notification may further include at least one of a serial number of the target intelligent safety helmet, a remaining power of the target intelligent safety helmet, a preset moving track of the target intelligent safety helmet, a weather forecast of a current location of the target intelligent safety helmet, and task allocation of an operator wearing the target intelligent safety helmet, which is not limited in the embodiment of the present invention.

Therefore, the optional embodiment can enable the operator to confirm the actual position of the intelligent safety helmet by sending the actual position information of the intelligent safety helmet to the intelligent safety helmet and/or the user terminal of the operator wearing the intelligent safety helmet, so that the positioning accuracy of the intelligent safety helmet is further improved.

the cloud service platform supervises the operating personnel wearing the target intelligent safety helmet based on the actual position information of the target intelligent safety helmet to obtain supervision data;

the cloud service platform judges whether the location of the target intelligent safety helmet is dangerous or not based on the supervision data;

when the danger is judged to exist, the cloud service platform sends out danger notification to the operating personnel wearing the target intelligent safety helmet, and the danger notification is used for notifying the operating personnel that the current position of the operating personnel has the danger.

In this alternative embodiment, the supervision data may include at least one of a movement trajectory of the worker wearing the target intelligent safety helmet, a task progress of the worker, and a physical sign condition of the worker, which is not limited in implementation of the present invention.

It can be seen that this optional embodiment is through after determining intelligent safety cap's actual position information, supervise the operating personnel who wears this intelligent safety cap, can enough supervise the engineering task that this operating personnel executed to improve the completion efficiency of engineering, can also send danger notice to this operating personnel when the dangerous condition appears, thereby make this operating personnel flee from danger, and then guarantee this operating personnel's personal safety.

Therefore, by implementing the positioning calibration method based on the intelligent safety helmet described in fig. 1, the position of the intelligent safety helmet can be calibrated through the real-time position information of the intelligent device which establishes short-distance wireless communication with the intelligent safety helmet, so that the position accuracy of the intelligent safety helmet can be improved, and the engineering supervision efficiency is improved; the dangerous condition is informed to the operator in time, so that the safety of the operator during operation is improved; and is convenient for flexibly allocating the operators nearby according to the emergency. In addition, the accuracy of the intelligent safety helmet position calibration can be improved. (ii) a The communication cost between the intelligent safety helmet and the equipment and between the equipment and the cloud service platform can be reduced; the operator can confirm the actual position of the intelligent safety helmet, so that the positioning accuracy of the intelligent safety helmet is further improved; the engineering task executed by the operator can be supervised, so that the completion efficiency of the engineering is improved; and when a dangerous condition occurs, a danger notice can be sent to the operating personnel, so that the operating personnel can escape from the danger, and the personal safety of the operating personnel is further ensured.

Example two

Referring to fig. 2, fig. 2 is a schematic flow chart illustrating a positioning calibration method based on an intelligent safety helmet according to an embodiment of the present invention. The method described in fig. 2 may be applied to terminal Devices having a cloud service platform, such as smart phones (Android phones, iOS phones, etc.), smart wearable Devices (such as smart phone watches), tablet computers, palmtop computers, and other Internet Devices (MID), and the embodiment of the present invention is not limited thereto. The method is applied to engineering places such as electric power engineering, railway engineering, building engineering, safety supervision and rescue engineering, mine engineering, metallurgical engineering, petroleum exploration engineering, forest felling engineering, tunnel engineering and the like, and the embodiment of the invention is not limited. As shown in fig. 2, the positioning calibration method based on the intelligent safety helmet may include the following steps:

201. the cloud service platform receives first real-time position information, located by the target intelligent safety helmet, sent by the target intelligent safety helmet.

202. The cloud service platform determines second real-time position information of first intelligent equipment, and the first intelligent equipment is intelligent equipment capable of establishing short-distance wireless communication with the target intelligent safety helmet.

203. And the cloud service platform judges whether the second real-time position information is the real position information of the first intelligent equipment. When the result of the determination is yes, step 204 may be triggered to be executed; and when the judgment result is negative, ending the process.

In this embodiment of the present invention, as an optional implementation manner, the determining, by the cloud service platform, whether the second real-time location information is the real location information of the first intelligent device may include:

and when the distance difference value corresponding to the third real-time position information and the second real-time position information is smaller than the preset distance difference value, the cloud service platform determines that the second real-time position information is the real position information of the first intelligent device.

In this optional embodiment, the image data corresponding to the first intelligent device may be obtained by shooting with a shooting device on the first intelligent device, may also be obtained by shooting with a shooting device on another intelligent device, and may also be obtained by shooting with a monitoring device or a shooting device at the current location of the first intelligent device.

In this alternative embodiment, the preset distance value is any one of the distance values, for example: 0.5m, and the embodiment of the present invention is not limited.

In this optional embodiment, optionally, the determining, by the cloud service platform, third real-time location information corresponding to the image data according to the image data may include:

the cloud service platform determines a target scene matched with the image data from the pre-stored image data of each scene in different scenes, determines a scene identifier corresponding to the target scene as a scene identifier corresponding to the image data, and determines third real-time position information of the image data based on the scene identifier.

As an optional embodiment, when the result of the determination in step 203 is negative, the method for calibrating positioning based on intelligent safety helmet may further include the following steps:

the cloud service platform starts a monitoring function and searches for third intelligent equipment which is not in a working state in the preset area range of the target intelligent safety helmet based on the monitoring function;

the cloud service platform initiates a communication request to the third intelligent device, and determines fourth real-time position information of the third intelligent device when receiving a communication response of the third intelligent device based on the communication request, wherein the fourth real-time position information of the third intelligent device is real-time position information of the third intelligent device;

the cloud service platform sends a communication connection notice to the third intelligent device, wherein the communication connection notice is used for informing the third intelligent device to establish short-distance wireless communication with the target intelligent safety helmet;

after receiving a communication connection response that the third intelligent device establishes short-distance wireless communication with the target intelligent safety cap, the cloud service platform calibrates the first real-time position information located by the target intelligent safety cap based on the fourth real-time position information of the third intelligent device to obtain actual real-time position information of the target intelligent safety cap.

Therefore, in the optional embodiment, when the real-time position information of the intelligent device is judged not to be the real position information of the intelligent device, the real-time position information of the intelligent safety helmet is calibrated through other intelligent devices, the calibration possibility of the position of the intelligent safety helmet can be improved, and the calibration mode of the position of the intelligent safety helmet is enriched.

204. The cloud service platform calibrates the first real-time position information located by the target intelligent safety helmet based on the second real-time position information of the first intelligent device to obtain the actual real-time position information of the target intelligent safety helmet.

In the embodiment of the present invention, please refer to detailed descriptions of steps 101 to 103 in the embodiment for the description of step 201, step 202, and step 204, which are not repeated herein.

Therefore, by implementing the positioning calibration method based on the intelligent safety helmet described in fig. 2, the position of the intelligent safety helmet can be calibrated through the real-time position information of the intelligent device which establishes short-distance wireless communication with the intelligent safety helmet, so that the position accuracy of the intelligent safety helmet can be improved, and the engineering supervision efficiency is improved; the dangerous condition is informed to the operator in time, so that the safety of the operator during operation is improved; and is convenient for flexibly allocating the operators nearby according to the emergency. In addition, the authenticity of the real-time position information of the intelligent equipment can be determined before the real-time position information of the intelligent safety helmet is calibrated, the calibration accuracy of the position of the intelligent safety helmet can be improved, and when the authenticity of the real-time position information of the intelligent equipment is negative, subsequent unnecessary calibration operation can be omitted; the real-time position information of the intelligent safety helmet can be calibrated through other intelligent equipment, the calibration possibility of the position of the intelligent safety helmet can be improved, and the calibration mode of the position of the intelligent safety helmet is enriched.

EXAMPLE III

Referring to fig. 3, fig. 3 is a schematic structural diagram of a cloud service platform according to an embodiment of the present invention. As shown in fig. 3, the cloud service platform may include a receiving module 301, a determining module 302, and a calibrating module 303, wherein:

the receiving module 301 is configured to receive first real-time location information, sent by a target intelligent safety helmet, where the target intelligent safety helmet is located.

A determining module 302, configured to determine second real-time location information of a first smart device, where the first smart device is a smart device capable of establishing short-range wireless communication with the target smart helmet.

A calibration module 303, configured to calibrate the first real-time location information located by the target intelligent safety cap based on the second real-time location information of the first intelligent device, so as to obtain actual real-time location information of the target intelligent safety cap.

In this embodiment of the present invention, as an optional implementation manner, the manner of calibrating, by the calibration module 303, the first real-time location information where the target intelligent safety helmet is located based on the second real-time location information of the first intelligent device to obtain the actual real-time location information of the target intelligent safety helmet specifically is as follows:

determining an electronic map corresponding to the second real-time position information of the first intelligent device;

and calibrating the first real-time position information positioned by the target intelligent safety helmet according to the electronic map to obtain the actual real-time position information of the target intelligent safety helmet.

As can be seen, the cloud service platform described in the implementation of fig. 3 can calibrate the position of the intelligent safety helmet through the real-time position information of the intelligent device that establishes short-distance wireless communication with the intelligent safety helmet, and can improve the accuracy of the position of the intelligent safety helmet, thereby improving the supervision efficiency of the project; the dangerous condition is informed to the operator in time, so that the safety of the operator during operation is improved; and is convenient for flexibly allocating the operators nearby according to the emergency.

As an optional embodiment, the cloud service platform may further include a first determining module 304. At this time, the cloud service platform may be as shown in fig. 4, and fig. 4 is a schematic structural diagram of another cloud service platform disclosed in the embodiment of the present invention, where:

the first determining module 304 is configured to determine whether the second real-time location information is the real location information of the first smart device before calibrating the first real-time location information where the target smart helmet is located based on the second real-time location information of the first smart device to obtain the actual real-time location information of the target smart helmet.

The calibration module 303 is specifically configured to:

when the first determining module 304 determines that the second real-time location information is the real location information of the first smart device, the first real-time location information located by the target smart helmet is calibrated based on the second real-time location information of the first smart device, so as to obtain the real-time location information of the target smart helmet.

The manner of determining, by the first determining module 304, whether the second real-time location information is the real location information of the first smart device is specifically:

receiving image data which is sent by the first intelligent equipment and corresponds to the first intelligent equipment;

It can be seen that, by implementing the cloud service platform described in fig. 4, the authenticity of the real-time location information of the smart device can be determined before the real-time location information of the smart cap is calibrated, so that the calibration accuracy of the location of the smart cap can be improved, and when the authenticity of the real-time location information of the smart device is negative, a subsequent unnecessary calibration operation can be omitted.

As another alternative, as shown in fig. 4, the determining module 302 is further configured to determine the number of second smart devices capable of establishing short-range wireless communication with the target smart helmet before determining the second real-time location information of the first smart device.

The determining module 302 is further configured to determine a signal strength value of the short-range wireless communication between each of all the second smart devices and the target smart helmet when it is determined that the number of the second smart devices capable of establishing the short-range wireless communication with the target smart helmet is greater than 1.

The determining module 302 is further configured to determine a strongest signal strength value from all the signal strength values, determine a second intelligent device corresponding to the strongest signal strength value as the first intelligent device, and trigger the above operation of determining the second real-time location information of the first intelligent device.

It can be seen that, implementing the cloud service platform described in fig. 4 can also improve the accuracy of the calibration of the position of the intelligent safety helmet by determining the intelligent device corresponding to the strongest signal value of all the intelligent devices capable of establishing short-distance wireless communication with the intelligent safety helmet as the required intelligent device.

As another alternative embodiment, as shown in fig. 4, the cloud service platform may further include a calling module 305 and a second determining module 306, where:

a retrieving module 305, configured to, before the determining module 302 determines the second real-time location information of the first smart device, retrieve a preset moving path corresponding to the target smart cap from a predetermined smart cap database, where the smart cap database is configured to store data of the target smart cap, where the data at least includes moving path data of the target smart cap.

A second determining module 306, configured to determine whether the first real-time location information matches the preset moving path, and when it is determined that the first real-time location information does not match the preset moving path, trigger the determining module 302 to perform the operation of determining the second real-time location information of the first smart device;

the specific way for the second determining module 306 to determine whether the first real-time location information matches the preset moving path is:

determining all preset coordinate information corresponding to the preset moving path, and judging whether the real-time coordinate information is a certain preset coordinate information in all the preset coordinate information;

and when the real-time coordinate information is judged not to be a certain preset coordinate information in all the preset coordinate information, determining that the first real-time position information is not matched with the preset moving path.

It can be seen that, by implementing the cloud service platform described in fig. 4, before determining the real-time location information of the smart device capable of establishing short-distance wireless communication with the smart cap, it can be determined whether the real-time location information of the smart cap matches the preset moving path, and when the real-time location information of the smart device does not match the preset moving path, the operation of determining the real-time location information of the smart device is performed, so that the communication costs between the smart cap and the device and between the device and the cloud service platform can be reduced.

As another optional embodiment, as shown in fig. 4, the cloud service platform may further include a sending module 307, where:

a sending module 307, configured to calibrate, by the calibration module 303, first real-time location information where the target intelligent security cap is located based on the second real-time location information of the first intelligent device, and send, after obtaining actual real-time location information of the target intelligent security cap, a location confirmation notification to a third intelligent device, where the location confirmation notification is used to notify an operator wearing the target intelligent security cap to confirm a location of the target intelligent security cap, and the location confirmation notification at least includes the actual real-time location information of the target intelligent security cap, and the third intelligent device includes at least one of the target intelligent security cap and a user terminal corresponding to the operator of the target intelligent security cap.

In this optional embodiment, after the calibration module 303 finishes the operation of calibrating the first real-time location information located by the target intelligent safety helmet based on the second real-time location information of the first intelligent device to obtain the actual real-time location information of the target intelligent safety helmet, the sending module 307 may be triggered to execute the operation of sending the location confirmation notification to the third intelligent device.

It can be seen that, the cloud service platform described in fig. 4 can also send the actual position information of the intelligent safety helmet to the intelligent safety helmet and/or the user terminal of the operator wearing the intelligent safety helmet, so that the operator can confirm the actual position of the intelligent safety helmet, and the positioning accuracy of the intelligent safety helmet is further improved.

As another alternative, as shown in fig. 4, the first determining module 304 is further configured to, after the calibrating module 303 calibrates the first real-time location information where the target intelligent safety cap is located based on the second real-time location information of the first intelligent device to obtain the actual real-time location information of the target intelligent safety cap, supervise an operator wearing the target intelligent safety cap based on the actual location information of the target intelligent safety cap to obtain supervised data; judging whether the location of the target intelligent safety helmet is dangerous or not based on the supervision data; and when the danger is judged to exist, sending danger notification to the operator wearing the target intelligent safety helmet, wherein the danger notification is used for notifying the operator that the current position of the operator has the danger.

It can be seen that, the cloud service platform described in fig. 4 can also supervise the operator wearing the intelligent safety helmet after determining the actual position information of the intelligent safety helmet, so that the operator can supervise the engineering task executed by the operator, the completion efficiency of the engineering is improved, and a danger notification can be sent to the operator when a dangerous condition occurs, so that the operator escapes from the danger, and the personal safety of the operator is ensured.

As another alternative, as shown in fig. 4, the determining module 302 is further configured to, after the calibrating module 303 calibrates, based on the second real-time location information of the first smart device, the first real-time location information where the target smart helmet is located, to obtain actual real-time location information of the target smart helmet, start a monitoring function, and find, based on the monitoring function, a third smart device that is not in a working state within the preset area of the target smart helmet; initiating a communication request to the third intelligent device, and determining fourth real-time position information of the third intelligent device when receiving a communication response of the third intelligent device based on the communication request, wherein the fourth real-time position information of the third intelligent device is real-time position information of the third intelligent device; sending a communication connection notification to the third smart device, the communication connection notification being used to notify the third smart device to establish short-range wireless communication with the target smart helmet; after receiving a communication connection response that the third intelligent device establishes short-distance wireless communication with the target intelligent safety cap, calibrating the first real-time position information located by the target intelligent safety cap based on the fourth real-time position information of the third intelligent device to obtain actual real-time position information of the target intelligent safety cap.

It can be seen that, by implementing the cloud service platform described in fig. 4, when it is determined that the real-time location information of the smart device is not the real location information of the smart device, the real-time location information of the smart helmet can be calibrated by using other smart devices, so that the possibility of calibrating the location of the smart helmet can be improved, and the calibration mode of the location of the smart helmet can be enriched.

EXAMPLE III

Referring to fig. 5, fig. 5 is a schematic structural diagram of another cloud service platform according to an embodiment of the present disclosure. As shown in fig. 5, the cloud service platform may include:

a memory 401 storing executable program code;

a processor 402 coupled with the memory 401;

the processor 402 calls the executable program code stored in the memory 401 to execute the steps of the positioning calibration method based on the intelligent safety helmet described in any one of the first to second embodiments.

Example four

The embodiment of the invention discloses a computer-readable storage medium which stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute the steps of the positioning and calibrating method based on the intelligent safety helmet described in any one of the first embodiment to the second embodiment.

EXAMPLE five

The embodiment of the invention discloses a computer program product, which comprises a non-transitory computer readable storage medium storing a computer program, wherein the computer program is operable to make a computer execute the steps of the positioning calibration method based on the intelligent safety helmet described in any one of the first embodiment and the second embodiment.

The above-described embodiments of the apparatus are merely illustrative, and the modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above detailed description of the embodiments, those skilled in the art will clearly understand that the embodiments may be implemented by software plus a necessary general hardware platform, and may also be implemented by hardware. Based on such understanding, the above technical solutions may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, where the storage medium includes a Read-Only Memory (ROM), a Random Access Memory (RAM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), a One-time Programmable Read-Only Memory (OTPROM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), a Compact Disc-Read-Only Memory (CD-ROM), or other disk memories, CD-ROMs, or other magnetic disks, A tape memory, or any other medium readable by a computer that can be used to carry or store data.

Finally, it should be noted that: the positioning calibration method based on the intelligent safety helmet and the cloud service platform disclosed in the embodiments of the present invention are only preferred embodiments of the present invention, and are only used for illustrating the technical solutions of the present invention, not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art; the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A positioning calibration method based on an intelligent safety helmet is characterized by comprising the following steps:

the method comprises the steps that a cloud service platform receives first real-time position information, located by a target intelligent safety helmet, sent by the target intelligent safety helmet;

the cloud service platform calibrates first real-time position information located by the target intelligent safety helmet based on second real-time position information of the first intelligent equipment to obtain actual real-time position information of the target intelligent safety helmet;

the cloud service platform calibrates first real-time position information, which is located by the target intelligent safety helmet, based on second real-time position information of the first intelligent device, to obtain actual real-time position information of the target intelligent safety helmet, and the method includes:

the cloud service platform determines an electronic map corresponding to the second real-time position information of the first intelligent device, and calibrates the first real-time position information located by the target intelligent safety cap according to the electronic map to obtain the actual real-time position information of the target intelligent safety cap.

2. The method of claim 1, wherein before the cloud service platform calibrates the first real-time location information of the target smart helmet based on the second real-time location information of the first smart device to obtain the actual real-time location information of the target smart helmet, the method further comprises:

3. The method of claim 1 or 2, wherein prior to the cloud service platform determining the second real-time location information of the first smart device, the method further comprises:

4. The method of claim 1 or 2, wherein prior to the cloud service platform determining the second real-time location information of the first smart device, the method further comprises:

5. The method according to claim 1 or 2, wherein the cloud service platform calibrates the first real-time location information where the target intelligent safety cap is located based on the second real-time location information of the first intelligent device, and after obtaining the actual real-time location information of the target intelligent safety cap, the method further comprises:

6. A cloud service platform, comprising a receiving module, a determining module, and a calibrating module, wherein:

the calibration module is used for calibrating first real-time position information positioned by the target intelligent safety helmet based on second real-time position information of the first intelligent equipment to obtain actual real-time position information of the target intelligent safety helmet;

the calibration module calibrates first real-time position information located by the target intelligent safety helmet based on second real-time position information of the first intelligent device, and a mode of obtaining actual real-time position information of the target intelligent safety helmet specifically includes:

and determining an electronic map corresponding to the second real-time position information of the first intelligent equipment, and calibrating the first real-time position information positioned by the target intelligent safety helmet according to the electronic map to obtain the actual real-time position information of the target intelligent safety helmet.

7. The cloud service platform of claim 6, wherein the cloud service platform further comprises a first determination module, wherein:

the calibration module is specifically configured to:

8. The cloud service platform of claim 6 or 7, wherein the determining module is further configured to determine a number of second smart devices that can establish short-range wireless communication with the target smart helmet before determining the second real-time location information of the first smart device;

9. The cloud service platform of claim 6 or 7, wherein the cloud service platform further comprises a calling module and a second determining module, wherein:

10. The cloud service platform of claim 6 or 7, wherein the cloud service platform further comprises a sending module, wherein: