CN111047822A - Danger early warning equipment, danger early warning method and related products thereof - Google Patents
Danger early warning equipment, danger early warning method and related products thereof Download PDFInfo
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- CN111047822A CN111047822A CN201911311779.8A CN201911311779A CN111047822A CN 111047822 A CN111047822 A CN 111047822A CN 201911311779 A CN201911311779 A CN 201911311779A CN 111047822 A CN111047822 A CN 111047822A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B19/00—Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
Abstract
The embodiment of the application discloses danger early warning equipment, a danger early warning method and related products thereof, the danger early warning equipment acquires environmental information from a plurality of front-end sensors, judges whether danger early warning information exists in the environmental information according to first image information and temperature information, and sends danger early warning instructions to a plurality of output equipment according to the danger early warning information if the danger early warning information exists in the environmental information, and sends the danger early warning information to a first terminal according to the danger early warning instructions. The embodiment of the application is favorable for improving the safety early warning efficiency and the accuracy of the danger early warning equipment in the heavy machinery use scene.
Description
Technical Field
The application relates to the technical field of computers, in particular to a danger early warning device, a danger early warning method and related products.
Background
With the continuous development of science and technology, more and more scientific and technological achievements are used in the production and living fields, and particularly, in the aspects of capital construction or building construction, the application of computer technology is more common. In capital construction or construction aspect, because the use of heavy machinery is comparatively general, and heavy machinery's volume is too huge, has a lot of potential safety hazards, may lead to unnecessary loss, influences heavy machinery's availability factor. At present, the potential safety hazard is generally manually checked, the early warning efficiency is low, and the early warning accuracy is not high. Therefore, it is a problem that people expect to solve to improve the efficiency of danger early warning.
Disclosure of Invention
The embodiment of the application mainly aims to provide the danger early warning equipment, the danger early warning control device and the danger early warning control method, so that potential safety hazards around heavy machinery can be effectively avoided, and the danger early warning efficiency is improved.
In a first aspect, an embodiment of the present application provides a danger early warning device, which includes a main body portion, a detachable driving mechanism, a processor, and a communication module, wherein,
the communication module is configured to obtain environmental information from a plurality of front-end sensors, the environmental information being used to characterize hazardous conditions around the heavy machinery, the environmental information including: first image information and temperature information;
the processor is used for judging whether danger early warning information exists in the environment information according to the first image information and the temperature information, and the danger early warning information is used for representing that people and/or objects possibly damaged by the heavy machinery exist in the environment around the heavy machinery;
the processor is further configured to send a danger early warning instruction to the plurality of output devices according to the danger early warning information if the environment information includes danger early warning information, where the danger early warning instruction is used for the plurality of output devices to respond to danger early warning;
and the communication module is also used for sending the danger early warning information to the first terminal according to the danger early warning instruction.
In a second aspect, an embodiment of the present application provides a danger early warning method, which is applied to a danger early warning device, where the danger early warning device includes a main body portion, a detachable driving mechanism, a processor, and a communication module, and the method includes:
obtaining environmental information from a plurality of front end sensors, the environmental information characterizing hazardous conditions surrounding the heavy machinery, the environmental information comprising: first image information and temperature information;
judging whether danger early warning information exists in the environment information or not according to the first image information and the temperature information, wherein the danger early warning information is used for representing that people and/or objects possibly damaged by the heavy machinery exist in the environment around the heavy machinery;
if so, sending a danger early warning instruction to the plurality of output devices according to the danger early warning information, wherein the danger early warning instruction is used for responding to danger early warning by the plurality of output devices;
and sending the danger early warning information to a first terminal according to the danger early warning instruction.
In a third aspect, an embodiment of the present application provides a danger early warning control device, which is characterized in that the danger early warning control device is applied to danger early warning equipment, the danger early warning equipment includes a main body part, a separable driving mechanism, a processor and a communication module, and the danger early warning control device includes:
a communication unit for obtaining environmental information from a plurality of front end sensors, the environmental information being indicative of a hazardous condition surrounding the heavy machinery, the environmental information comprising: first image information and temperature information;
the processing unit is used for judging whether danger early warning information exists in the environment information according to the first image information and the temperature information, and the danger early warning information is used for representing that people and/or objects possibly damaged by the heavy machinery exist in the environment around the heavy machinery;
the processing unit is further configured to send a danger early warning instruction to the plurality of output devices according to the danger early warning information if the environment information includes danger early warning information, where the danger early warning instruction is used for the plurality of output devices to respond to danger early warning;
and the communication unit is also used for sending the danger early warning information to the first terminal according to the danger early warning instruction.
In a fourth aspect, an embodiment of the present application provides an electronic device, including a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for executing the steps in any of the methods of the first aspect of the embodiment of the present application.
In a fifth aspect, this application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program enables a computer to perform some or all of the steps described in any one of the methods of the first aspect of this application.
It can be seen that, in the embodiment of the application, the danger early warning device acquires environmental information from a plurality of front-end sensors, judges whether danger early warning information exists in the environmental information according to the first image information and the temperature information, and if the danger early warning information exists in the environmental information, sends danger early warning instructions to the plurality of output devices according to the danger early warning information, and sends the danger early warning information to the first terminal according to the danger early warning instructions. Therefore, the danger early warning device determines that potential safety hazards and danger early warning information exist in the current heavy machinery in use through the first image and the temperature information, and sends the danger early warning information to the first terminal according to the potential safety hazards and the danger early warning information, so that the safety early warning efficiency and the accuracy of the danger early warning device in the heavy machinery use scene are improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of a danger early warning device according to an embodiment of the present disclosure;
fig. 2A is a flowchart of a method for early warning of danger according to an embodiment of the present disclosure;
fig. 2B is a schematic diagram of a first image processing process according to an embodiment of the present disclosure;
fig. 3 is a flowchart of a method for early warning of danger according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of an electronic device provided in an embodiment of the present application;
fig. 5 is a block diagram of functional units of a danger early warning control apparatus according to an embodiment of the present disclosure.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
At present, in the existing danger early warning method, the potential safety hazard is generally manually checked, the early warning time is long, and the efficiency and the accuracy of danger early warning are low.
The danger early warning device according to the embodiment of the present application may support wireless charging or wired charging, and the danger early warning device may be an electronic device with communication capability, and the electronic device may include various handheld devices, vehicle-mounted devices, computing devices, or other processing devices connected to a wireless modem and various forms of User Equipment (UE).
The following describes embodiments of the present application in detail.
Referring to fig. 1, fig. 1 is a schematic diagram of a danger warning device 100 according to an embodiment of the present disclosure, the danger warning device includes a main body 101, a detachable driving mechanism 102, a processor 103, and a communication module 104:
wherein the communication module 104 is configured to obtain environmental information from a plurality of front-end sensors, the environmental information being used to characterize hazardous conditions around the heavy machinery, the environmental information including: first image information and temperature information;
the processor 103 is configured to determine whether danger early warning information exists in the environment information according to the first image information and the temperature information, where the danger early warning information is used to represent that people and/or objects which may be damaged by the heavy machinery exist in an environment around the heavy machinery; and the system is used for sending a danger early warning instruction to a plurality of output devices according to the danger early warning information if the environment information contains the danger early warning information, wherein the danger early warning instruction is used for responding to danger early warning by the plurality of output devices;
the processor 103 is specifically configured to determine a type of a hazard warning according to the hazard warning information, where the hazard warning instruction is used for responding to the hazard warning by the multiple output devices; and the system is used for respectively sending danger early warning instructions to the output devices according to the types of the danger early warnings.
The communication module 104 is further configured to send the danger early warning information to the first terminal according to the danger early warning instruction.
In a possible example, the danger early warning device further includes an information acquisition module and an output device, the output device includes any one or more of a display screen, a speaker and a warning light, the danger early warning device performs a warning operation according to the preset mode, and the processor 103 is specifically configured to determine image environment information according to the first image information, where the image environment information is used to represent risk factors around the heavy machinery; the first image processing module is also used for judging whether danger early warning information exists in the first image or not according to the image environment information; and the system is also used for determining the temperature in the environmental information as danger early warning information according to the temperature information.
In one possible example, in the aspect that the danger early warning device determines whether the first image has danger early warning information according to the image environment information, the processor 103 is specifically configured to determine a risk factor according to the image environment information, where the risk factor includes at least one of a portrait, an obstacle, and a road condition; and is used for determining danger early warning information according to the danger factors.
In a possible example, the processor 103 of the hazard early warning device is further specifically configured to determine a hazard early warning type and a hazard coefficient corresponding to the hazard early warning type according to the hazard early warning information; the communication module 104 is specifically configured to send the risk early warning type and a risk coefficient corresponding to the risk early warning type to the first terminal.
It can be seen that, in the embodiment of the application, the danger early warning device acquires environmental information from a plurality of front-end sensors, judges whether danger early warning information exists in the environmental information according to the first image information and the temperature information, and if the danger early warning information exists in the environmental information, sends danger early warning instructions to the plurality of output devices according to the danger early warning information, and sends the danger early warning information to the first terminal according to the danger early warning instructions. Therefore, the early warning time is shortened, and the efficiency and the accuracy of the danger early warning are improved.
In order to solve the problems of low efficiency and low accuracy of the danger early warning, the present application provides a danger early warning method, specifically as shown in fig. 2A, fig. 2A is a flowchart of the danger early warning method.
S201, acquiring environmental information from a plurality of front-end sensors, wherein the environmental information is used for representing dangerous conditions around the heavy machinery.
Wherein the environment information includes: first image information and temperature information.
The plurality of front-end sensors comprise any one or more of temperature sensors and image sensors, wherein the number of the temperature sensors can be one or more, and the number of the image sensors can be one or more. When the number of the image sensors is multiple, the image capturing angles acquired by the image sensors may be the same or different.
In specific implementation, the specific implementation steps of acquiring the environmental information from the plurality of front-end sensors are as follows: temperature information from a plurality of front-end sensors and first image information are acquired, wherein the first image information comprises image information of one image or image information of a plurality of images.
S202, judging whether danger early warning information exists in the environment information or not according to the first image information and the temperature information.
Wherein the hazard warning information is used to characterize the presence of people and/or objects in the environment surrounding the heavy machinery that may be injured by the heavy machinery.
In a specific implementation, the danger warning information includes at least one of warning information of over-temperature, information of unevenness of a road in front of the heavy machinery, and information of persons and/or objects appearing within a use radius of the heavy machinery.
The method comprises the following steps of: and judging whether the current temperature is a temperature early warning condition or not according to the temperature information, and if so, determining over-temperature early warning information according to the temperature information. Calculating a temperature average value of one or more temperatures in the temperature information, and judging whether the temperature average value is greater than a first temperature threshold or whether the lowest temperature of the one or more temperatures in the temperature information is greater than or equal to a second temperature threshold, wherein the first temperature threshold can be set by the danger early warning device, can be set by the first terminal, or can be set according to the type of the heavy machinery. The second temperature threshold may be set by the hazard warning apparatus, may be set by the first terminal, or may be set according to the type of heavy machinery.
The method comprises the following steps of: and determining the degree of the recess of the road in front and the distance between the recess in front and the danger early warning device through the first image information, and determining the road unevenness information in front of the heavy machinery according to the degree of the recess and/or the distance between the danger early warning device and the road unevenness information. Wherein, determining the road unevenness information in front of the heavy machinery according to the degree of concavity and/or the distance of the danger early warning apparatus includes: judging whether the sinking degree meets the sinking degree of the danger and/or whether the distance of the danger early warning equipment is less than or equal to the danger early warning distance, wherein the sinking degree of the danger can be set by the danger early warning equipment, can be set by a first terminal, or can be set according to the type of the heavy machinery, and the danger early warning distance can be set by the danger early warning equipment, can be set by the first terminal, or can be set according to the type of the heavy machinery; if yes, determining that the road unevenness information in front of the heavy machinery is the sinking degree of the road in front and the distance between the sinking position in front and the danger early warning equipment.
The method comprises the following specific steps of: determining the persons and/or objects appearing in the using radius of the heavy machinery through the first image information, simultaneously determining the distance between the persons and/or objects and the danger early warning equipment, and judging whether the distance is smaller than or equal to a first threshold value; if yes, determining the information of the persons and/or objects appearing in the service radius of the heavy machinery according to the first image information, wherein the information of the persons and/or objects appearing in the service radius of the heavy machinery comprises at least one of the following: the number of people, the number of objects, the height of objects, and the size of objects. The first threshold may be set by the hazard warning apparatus, may be set by the first terminal according to a model of the heavy machinery, or may be a preset distance.
And S203, if so, sending a danger early warning instruction to the plurality of output devices according to the danger early warning information.
And the danger early warning instruction is used for responding to danger early warning by a plurality of output devices. Wherein an output device of the plurality of output devices comprises: any one or more of a display screen, a loudspeaker and a warning lamp.
And S204, sending the danger early warning information to a first terminal according to the danger early warning instruction.
The first terminal may be a mobile communication device, may be a laptop, may be a computer device, or other processing device connected to a wireless modem, among others. The mobile communication device may be a mobile phone, various wearable devices, and the like.
It can be seen that, in the embodiment of the application, through obtaining the environmental information from a plurality of front end sensors, according to the first image information and the temperature information, whether danger early warning information exists in the environmental information is judged, if the danger early warning information exists in the environmental information, according to the danger early warning information, a danger early warning instruction is sent to a plurality of output devices, and according to the danger early warning instruction, the danger early warning information is sent to a first terminal. Therefore, the method and the device for early warning of the danger shorten the time for early warning of the danger, and are beneficial to improving the efficiency and accuracy of the safety early warning of the danger early warning device in the use scene of the heavy machinery.
In one possible example, the determining whether there is danger early warning information in the environmental information according to the first image information and the temperature information includes: determining image environment information according to the first image information, wherein the image environment information is used for representing danger factors around the heavy machinery; judging whether danger early warning information exists in the first image or not according to the image environment information; and determining the temperature in the environmental information as danger early warning information according to the temperature information.
In specific implementation, image environment information is determined according to the first image information, and the image environment information is used for representing danger factors around the heavy machinery; determining a risk factor according to the image environment information; judging whether danger early warning information exists in the first image or not according to the danger information; and determining the temperature in the environmental information as danger early warning information according to the temperature information. Referring to fig. 2B, fig. 2B is a schematic diagram of a first image processing process, and the danger early warning device 200 determines a flow of image environment information according to the first image information.
It can be seen that, in the embodiment of the present application, by determining image environment information according to the first image information, the image environment information is used for representing risk factors around the heavy machinery; judging whether danger early warning information exists in the first image or not according to the image environment information; and determining the temperature in the environmental information as danger early warning information according to the temperature information, so that the accuracy of danger early warning is improved, the early warning time is shortened, and the danger early warning efficiency and accuracy of the danger early warning equipment in the heavy machinery use scene are improved.
In one possible example, the determining whether there is danger early warning information in the first image according to the image environment information includes: determining risk factors according to the image environment information, wherein the risk factors comprise at least one of the following: portrait, barrier, road conditions; and determining the danger early warning information according to the danger factors.
Wherein, the barrier includes: vehicles, trees, stone piers, houses, and larger objects.
The distance between the portrait and the dangerous early warning equipment is smaller than a first distance, the distance between the barrier and the dangerous equipment is smaller than a second distance, and the distance between the road condition and the dangerous early warning equipment is smaller than a third distance. The first distance can be set through a first terminal, or set by a danger early warning device, or a preset distance; the second distance can be set by the first terminal, or set by the danger early warning device, or a preset distance; the third distance may be set by the first terminal, or set by the hazard warning device, or a preset distance.
In specific implementation, a portrait is determined according to the image environment information; judging a first height of the portrait, a first distance between the portrait and the heavy equipment and a first direction of the portrait on the heavy equipment according to the portrait; and determining danger early warning information according to the first height, the first distance and the first direction.
It should be further explained that determining the hazard warning information according to the first height, the first distance, and the first orientation includes: judging whether the first height is smaller than or equal to a first height threshold value or not, and whether the first distance is larger than or equal to a first distance threshold value or not; if yes, determining that the danger early warning information is a portrait, a first height, a first distance and a first direction.
The first height threshold value can be set through the first terminal, or set by the danger early warning device, or set by a preset height threshold value.
In specific implementation, an obstacle is determined according to the image environment information; judging a second height of the obstacle, a size of the obstacle, a second distance between the obstacle and the heavy equipment and a second direction of the obstacle in the heavy equipment according to the obstacle; and determining danger early warning information according to the second height, the size, the second distance and the second direction.
It should be further explained that determining the hazard warning information according to the second height, the size, and the second orientation includes: judging whether the second height is smaller than or equal to a second height threshold value or not, and whether the second distance is larger than or equal to a second distance threshold value or not; and if so, determining that the danger early warning information is the obstacle, the second height, the size, the second distance and the second direction.
The second height threshold value can be set through the first terminal, or set by the danger early warning device, or set by a preset height threshold value.
In specific implementation, the road condition is determined according to the image environment information; determining the degree of depression of the road surface of the road condition according to the road condition; and judging whether the sinking degree meets the dangerous sinking degree, if so, determining that the dangerous early warning information is the road condition and the sinking degree.
In a specific implementation, the risk factors are determined according to the image environment information, and the risk factors include at least one of the following: portrait, barrier, road conditions; and determining a danger coefficient according to the portrait, the barrier and the road condition, and determining the danger early warning information according to the danger coefficient.
It should be further explained that the specific steps of determining the risk coefficient according to the portrait, the obstacle and the road condition are as follows: calculating a danger coefficient according to the first height, the first distance, the first direction, the second height, the size, the second distance, the second direction and the road condition depression degree, wherein the first height, the first distance and the first direction correspond to the portrait, and the second height, the size, the second distance and the second direction correspond to the obstacle; and judging whether danger early warning information appears according to the danger coefficient.
Wherein, the calculation formula of the risk coefficient is as follows:
wherein W is the risk coefficient, n is the number of risk factors, pnIs the weight value of the risk factor, gammanWeighting values for the influencing factors, wherein the risk factors include: the system comprises a portrait, an obstacle and a road condition, wherein the influence factors corresponding to the portrait are a first height, a first distance and a first direction, the influence factors corresponding to the obstacle are a second height, a size, a second distance and a second direction, and the influence factors corresponding to the road condition are the sinking degree of the road condition.
It can be seen that, in the embodiment of the present application, by determining the risk factors according to the image environment information, the risk factors include at least one of: portrait, barrier, road conditions; and determining the danger early warning information according to the portrait, the barrier and the road condition, so that the accuracy of the danger early warning information is ensured, and the accuracy of the danger early warning is improved.
In one possible example, the sending the hazard warning instruction to the plurality of output devices according to the hazard warning information includes: determining the type of the danger early warning according to the danger early warning information; and respectively sending danger early warning instructions to the plurality of output devices according to the type of the danger early warning.
Wherein, the types of the danger early warning can be divided into three levels of high early warning, medium early warning and low early warning
For example, according to a high warning in the types of the risk warnings, a risk warning instruction is sent to the display screens of the plurality of output devices; or sending a danger early warning instruction to the loudspeakers in the plurality of output devices according to the high early warning in the types of the danger early warning; or sending a danger early warning instruction to the warning lamps in the plurality of output devices according to the high early warning in the types of the danger early warning.
It can be seen that, in the embodiment of the application, by acquiring the environmental information from the plurality of front-end sensors, whether danger early warning information exists in the environmental information is judged according to the first image information and the temperature information, and if the danger early warning information exists in the environmental information, the type of danger early warning is determined according to the danger early warning information; and respectively sending danger early warning instructions to the output devices according to the types of the danger early warning, and sending the danger early warning information to the first terminal according to the danger early warning instructions, so that the safety early warning efficiency and the accuracy of the danger early warning devices in the heavy machinery use scene are improved.
In one possible example, after the sending the danger early warning information to the first terminal according to the danger early warning instruction, the method further includes: determining a danger early warning type and a danger coefficient corresponding to the danger early warning type according to the danger early warning information; and sending the danger early warning type and a danger coefficient corresponding to the danger early warning type to the first terminal.
In the specific implementation, the specific steps of determining the danger early warning type and the danger coefficient corresponding to the danger early warning type according to the danger early warning information are as follows: and calculating a danger coefficient according to the danger early warning information, and determining a danger early warning type according to the danger coefficient.
Wherein, the calculation formula of the risk coefficient is as follows:
wherein W is the risk coefficient, n is the number of risk factors, pnIs the weight value of the risk factor, gammanWeighting values for the influencing factors, wherein the risk factors include: the system comprises a portrait, an obstacle and a road condition, wherein the influence factors corresponding to the portrait are a first height, a first distance and a first direction, the influence factors corresponding to the obstacle are a second height, a size, a second distance and a second direction, and the influence factors corresponding to the road condition are the sinking degree of the road condition.
It should be further explained that, the specific steps of calculating the risk coefficient according to the risk early warning information and determining the type of the risk early warning according to the risk coefficient are as follows: judging whether the risk coefficient is greater than or equal to a first threshold value; if so, the type of the danger early warning is high early warning; if not, judging whether the risk coefficient is larger than or equal to a second threshold value; if so, the danger early warning type is medium early warning; if not, the danger early warning type is low early warning.
In the embodiment of the application, by acquiring environmental information from a plurality of front-end sensors, judging whether danger early warning information exists in the environmental information according to the first image information and the temperature information, if the danger early warning information exists in the environmental information, sending a danger early warning instruction to a plurality of output devices according to the danger early warning information, sending the danger early warning information to a first terminal according to the danger early warning instruction, and determining a danger early warning type and a danger coefficient corresponding to the danger early warning type according to the danger early warning information; and sending the danger early warning type and a danger coefficient corresponding to the danger early warning type to the first terminal, so that the content of the danger early warning is more accurate, the early warning time is shortened, and the efficiency and the accuracy of the danger early warning equipment in a heavy machinery use scene are improved.
Consistent with the embodiment shown in fig. 2A, please refer to fig. 3, where fig. 3 is a flowchart of a danger early-warning method provided in an embodiment of the present application, and the method is applied to a danger early-warning device, where the danger early-warning device includes a main body, a detachable driving mechanism, a processor, and a communication module, and the method includes:
s301: obtaining environmental information from a plurality of front end sensors, the environmental information characterizing hazardous conditions surrounding the heavy machinery, the environmental information comprising: first image information and temperature information.
S302: and determining image environment information according to the first image information, wherein the image environment information is used for representing danger factors around the heavy machinery.
S303: and judging whether the first image has danger early warning information or not according to the image environment information.
S304: and determining the temperature in the environmental information as danger early warning information according to the temperature information.
S305: and if the environmental information contains danger early warning information, sending danger early warning instructions to the output devices according to the danger early warning information, wherein the danger early warning instructions are used for responding danger early warning by the output devices.
S306: and sending the danger early warning information to a first terminal according to the danger early warning instruction.
S307: and determining a danger early warning type and a danger coefficient corresponding to the danger early warning type according to the danger early warning information.
S308: and sending the danger early warning type and a danger coefficient corresponding to the danger early warning type to the first terminal.
It can be seen that, in the embodiment of the application, through obtaining the environmental information that comes from a plurality of front end sensors, according to first image information with temperature information judges whether there is dangerous early warning information in the environmental information, if there is dangerous early warning information in the environmental information, then according to dangerous early warning information to a plurality of output device send dangerous early warning instruction, according to dangerous early warning instruction sends dangerous early warning information to first terminal for dangerous early warning's content is more accurate, and early warning time shortens, is favorable to improving dangerous early warning equipment safety precaution efficiency and accuracy in heavy machinery use scene.
Referring to fig. 4, fig. 4 is a schematic structural diagram of an electronic device 400 according to an embodiment of the present application, and as shown in the drawing, the electronic device 400 includes an application processor 410, a memory 420, a communication interface 430, and one or more programs 421, where the one or more programs 421 are stored in the memory 420 and configured to be executed by the application processor 410, and the one or more programs 421 include instructions for performing the following steps:
obtaining environmental information from a plurality of front end sensors, the environmental information characterizing hazardous conditions surrounding the heavy machinery, the environmental information comprising: first image information and temperature information;
judging whether danger early warning information exists in the environment information or not according to the first image information and the temperature information, wherein the danger early warning information is used for representing that people and/or objects possibly damaged by the heavy machinery exist in the environment around the heavy machinery;
if so, sending a danger early warning instruction to the plurality of output devices according to the danger early warning information, wherein the danger early warning instruction is used for responding to danger early warning by the plurality of output devices;
and sending the danger early warning information to a first terminal according to the danger early warning instruction.
In one possible example, in the aspect of determining whether there is danger early warning information in the environmental information according to the first image information and the temperature information, the one or more programs 421 include specific instructions for performing the following steps: determining image environment information according to the first image information, wherein the image environment information is used for representing danger factors around the heavy machinery; judging whether danger early warning information exists in the first image or not according to the image environment information; and determining the temperature in the environmental information as danger early warning information according to the temperature information.
In one possible example, in the aspect of determining whether the first image has the danger early warning information according to the image environment information, the one or more programs 421 include specific instructions for performing the following steps: determining a risk factor according to the image environment information, wherein the risk factor comprises at least one of a portrait, an obstacle and a road condition; and determining danger early warning information according to the danger factors.
In one possible example, in the aspect of sending the hazard warning instruction to the plurality of output devices according to the hazard warning information, the one or more programs 421 include instructions specifically for performing the following steps: determining the type of the danger early warning according to the danger early warning information; and respectively sending danger early warning instructions to the plurality of output devices according to the type of the danger early warning.
In a possible example, after the sending the danger early warning information to the first terminal according to the danger early warning instruction, the one or more programs 421 are further configured to specifically perform the following steps: determining a danger early warning type and a danger coefficient corresponding to the danger early warning type according to the danger early warning information; and sending the danger early warning type and a danger coefficient corresponding to the danger early warning type to the first terminal.
It can be seen that, in the embodiment of the application, through obtaining the environmental information that comes from a plurality of front end sensors, according to first image information with temperature information judges whether there is dangerous early warning information in the environmental information, if there is dangerous early warning information in the environmental information, then according to dangerous early warning information to a plurality of output device send dangerous early warning instruction, according to dangerous early warning instruction sends dangerous early warning information to first terminal for dangerous early warning's content is more accurate, and early warning time shortens, is favorable to improving dangerous early warning equipment safety precaution efficiency and accuracy in heavy machinery use scene.
The above description has introduced the solution of the embodiment of the present application mainly from the perspective of the method-side implementation process. It is understood that the electronic device comprises corresponding hardware structures and/or software modules for performing the respective functions in order to realize the above-mentioned functions. Those of skill in the art will readily appreciate that the present application is capable of hardware or a combination of hardware and computer software implementing the various illustrative elements and algorithm steps described in connection with the embodiments provided herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. 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 application.
In the embodiment of the present application, the electronic device may be divided into the functional units according to the method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing 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. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
Fig. 5 is a block diagram of functional units of a risk early warning control apparatus 500 according to an embodiment of the present application. This danger early warning controlling means 500 is applied to danger early warning equipment, danger early warning equipment includes main part, detachable actuating mechanism, treater, communication module, danger early warning controlling means includes: communication unit 501, processing unit 502.
The communication unit 501 is configured to obtain environmental information from a plurality of front-end sensors, where the environmental information is used to characterize dangerous conditions around the heavy machinery, and the environmental information includes: first image information and temperature information; the processing unit 502 is configured to determine whether there is danger early warning information in the environment information according to the first image information and the temperature information, where the danger early warning information is used to represent that there are people and/or objects that may be damaged by the heavy machinery in the environment around the heavy machinery; the processing unit 502 is further configured to send a danger early warning instruction to the plurality of output devices according to the danger early warning information if the environment information includes danger early warning information, where the danger early warning instruction is used for the plurality of output devices to respond to danger early warning; the communication unit 501 is further configured to send the danger early warning information to the first terminal according to the danger early warning instruction.
In a possible example, in the aspect of determining whether there is danger early warning information in the environmental information according to the first image information and the temperature information, the processing unit 502 is specifically configured to: determining image environment information according to the first image information, wherein the image environment information is used for representing danger factors around the heavy machinery; judging whether danger early warning information exists in the first image or not according to the image environment information; and determining the temperature in the environmental information as danger early warning information according to the temperature information.
In a possible example, in the aspect of determining whether there is danger early warning information in the first image according to the image environment information, the processing unit 502 is specifically configured to: determining a risk factor according to the image environment information, wherein the risk factor comprises at least one of a portrait, an obstacle and a road condition; and determining danger early warning information according to the danger factors.
In a possible example, the processing unit 502 is specifically configured to send a danger early warning instruction to the multiple output devices according to the danger early warning information: determining the type of the danger early warning according to the danger early warning information; and respectively sending danger early warning instructions to the plurality of output devices according to the type of the danger early warning.
In a possible example, after the sending the danger early warning information to the first terminal according to the danger early warning instruction, the communication unit 501 is further specifically configured to: determining a danger early warning type and a danger coefficient corresponding to the danger early warning type according to the danger early warning information; and sending the danger early warning type and a danger coefficient corresponding to the danger early warning type to the first terminal.
The danger early warning control apparatus 500 may further include a storage unit 503 for storing program codes and data of the electronic device. The processing unit 502 may be a processor, the communication unit 501 may be a touch display screen or a transceiver, and the storage unit 503 may be a memory.
The processor is a control center of the electronic equipment, various interfaces and lines are utilized to connect various parts of the whole electronic equipment, and various functions and processing data of the electronic equipment are executed by running or executing software programs and/or modules stored in the memory and calling data stored in the memory, so that the electronic equipment is monitored integrally. The application processor mainly processes an operating system, a user interface, application programs and the like, and the baseband processor mainly processes wireless communication. It will be appreciated that the baseband processor described above may not be integrated into the processor. The memory may be used to store software programs and modules, and the processor may execute various functional applications and data processing of the electronic device by operating the software programs and modules stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to use of the electronic device, and the like. Further, the memory may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. The transceiver may be, for example, a wireless communication module such as bluetooth.
Embodiments of the present application also provide a computer storage medium, where the computer storage medium stores a computer program for electronic data exchange, the computer program enabling a computer to execute part or all of the steps of any one of the methods described in the above method embodiments, and the computer includes an electronic device.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as described in the above method embodiments. The computer program product may be a software installation package, the computer comprising an electronic device.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the above-described division of the units is only one type of division of logical functions, 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 of some interfaces, devices or units, and may be an electric 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 application 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 may be stored in a computer readable memory if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above-mentioned method of the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. A danger early warning device is characterized by comprising a main body part, a separable driving mechanism, a processor and a communication module, wherein,
the communication module is configured to obtain environmental information from a plurality of front-end sensors, the environmental information being used to characterize hazardous conditions around the heavy machinery, the environmental information including: first image information and temperature information;
the processor is used for judging whether danger early warning information exists in the environment information according to the first image information and the temperature information, and the danger early warning information is used for representing that people and/or objects possibly damaged by the heavy machinery exist in the environment around the heavy machinery;
the processor is further configured to send a danger early warning instruction to a plurality of output devices according to the danger early warning information if the environment information includes danger early warning information, where the danger early warning instruction is used for the plurality of output devices to respond to danger early warning;
and the communication module is also used for sending the danger early warning information to the first terminal according to the danger early warning instruction.
2. The danger early-warning device according to claim 1, further comprising an information acquisition module, and an output device, wherein the output device comprises any one or more of a display screen, a speaker, and a warning light, the danger early-warning device performs a warning operation according to the preset mode, the processor,
the image environment information is used for representing dangerous factors around the heavy machinery;
the first image processing module is also used for judging whether danger early warning information exists in the first image or not according to the image environment information;
and the system is also used for determining the temperature in the environmental information as danger early warning information according to the temperature information.
3. The hazard warning apparatus of claim 2, wherein the processor is configured to determine whether hazard warning information exists in the first image according to the image environment information
The method is specifically used for determining a risk factor according to the image environment information, wherein the risk factor includes at least one of the following: portrait, barrier, road conditions;
and determining danger early warning information according to the danger factors.
4. The hazard early warning apparatus of claim 1, wherein the processor is further configured to determine a hazard early warning type and a hazard coefficient corresponding to the hazard early warning type according to hazard early warning information;
the communication module is specifically configured to send the danger early warning type and a danger coefficient corresponding to the danger early warning type to the first terminal.
5. A danger early warning method is applied to danger early warning equipment, wherein the danger early warning equipment comprises a main body part, a separable driving mechanism, a processor and a communication module, and the method comprises the following steps:
obtaining environmental information from a plurality of front end sensors, the environmental information characterizing hazardous conditions surrounding the heavy machinery, the environmental information comprising: first image information and temperature information;
judging whether danger early warning information exists in the environment information or not according to the first image information and the temperature information, wherein the danger early warning information is used for representing that people and/or objects possibly damaged by the heavy machinery exist in the environment around the heavy machinery;
if so, sending a danger early warning instruction to the plurality of output devices according to the danger early warning information, wherein the danger early warning instruction is used for responding to danger early warning by the plurality of output devices;
and sending the danger early warning information to a first terminal according to the danger early warning instruction.
6. The method of claim 5, wherein the determining whether the environmental information includes danger early warning information according to the first image information and the temperature information comprises:
determining image environment information according to the first image information, wherein the image environment information is used for representing danger factors around the heavy machinery;
judging whether danger early warning information exists in the first image or not according to the image environment information;
and determining the temperature in the environmental information as danger early warning information according to the temperature information.
7. The method of claim 6, wherein the determining whether the first image has the danger early warning information according to the image environment information comprises:
determining a risk factor according to the image environment information, wherein the risk factor comprises at least one of a portrait, an obstacle and a road condition;
and determining danger early warning information according to the danger factors.
8. The method of claim 5, wherein sending the hazard warning instruction to the plurality of output devices according to the hazard warning information comprises:
determining the type of the danger early warning according to the danger early warning information;
and respectively sending danger early warning instructions to the plurality of output devices according to the type of the danger early warning.
9. The method of claim 5, wherein after sending the danger early warning information to the first terminal according to the danger early warning instruction, the method further comprises:
determining a danger early warning type and a danger coefficient corresponding to the danger early warning type according to the danger early warning information;
and sending the danger early warning type and a danger coefficient corresponding to the danger early warning type to the first terminal.
10. The utility model provides a danger early warning controlling means which characterized in that is applied to danger early warning equipment, danger early warning equipment includes main part, detachable actuating mechanism, treater, communication module, danger early warning controlling means includes:
a communication unit for obtaining environmental information from a plurality of front end sensors, the environmental information being indicative of a hazardous condition surrounding the heavy machinery, the environmental information comprising: first image information and temperature information;
the processing unit is used for judging whether danger early warning information exists in the environment information according to the first image information and the temperature information, and the danger early warning information is used for representing that people and/or objects possibly damaged by the heavy machinery exist in the environment around the heavy machinery;
the processing unit is further configured to send a danger early warning instruction to the plurality of output devices according to the danger early warning information if the environment information includes danger early warning information, where the danger early warning instruction is used for the plurality of output devices to respond to danger early warning;
and the communication unit is also used for sending the danger early warning information to the first terminal according to the danger early warning instruction.
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