CN115857536A - Unmanned aerial vehicle intelligent inspection method, device, equipment and medium for workshop equipment - Google Patents
Unmanned aerial vehicle intelligent inspection method, device, equipment and medium for workshop equipment Download PDFInfo
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Abstract
The application provides an unmanned aerial vehicle intelligent inspection method, device, equipment and medium for workshop equipment, wherein the method comprises the following steps: acquiring position information of each device in a workshop, and determining waypoints of a routing inspection route based on the position information, wherein one waypoint corresponds to one position information; determining a routing inspection route of the workshop based on all the waypoints, and sending the routing inspection route to the unmanned aerial vehicle; receiving first information acquired by the unmanned aerial vehicle based on the routing inspection route, wherein the first information comprises the position of target equipment determined based on the waypoint, and the target equipment is any equipment in the workshop; and comparing the first information with reference information to obtain a comparison result, wherein the comparison result is used for representing the running state of the target equipment.
Description
Technical Field
The application relates to the technical field of intelligent inspection, in particular to an unmanned aerial vehicle intelligent inspection method, device, equipment and medium for workshop equipment.
Background
The safety of workshop equipment is the guarantee of normal production operation in the workshop, and the safety inspection of the workshop equipment is an important means for finding abnormal conditions in time and reducing accidents. At present, the safety inspection of workshop equipment mainly adopts a manual inspection mode, the detection effect of the manual inspection can be influenced by subjective factors of inspection personnel, the visual field limitation exists easily, and the possibility of missed inspection and error detection of abnormal conditions of the production workshop equipment is increased.
Disclosure of Invention
The embodiment of the application provides an unmanned aerial vehicle intelligent inspection method, device, equipment and medium for workshop equipment, and can solve the problem that the existing inspection mode has high possibility of missing inspection and error inspection when detecting abnormal conditions of the workshop equipment.
In order to solve the technical problem, the present application is implemented as follows:
in a first aspect, an embodiment of the present application provides an unmanned aerial vehicle intelligent inspection method for workshop apparatuses, including:
acquiring position information of each device in a workshop, and determining waypoints of a routing inspection route based on the position information, wherein one waypoint corresponds to one position information;
determining a routing inspection route of the workshop based on all the waypoints, and sending the routing inspection route to the unmanned aerial vehicle;
receiving first information acquired by the unmanned aerial vehicle based on the routing inspection route, wherein the first information comprises the position of target equipment determined based on the waypoint, and the target equipment is any equipment in the workshop;
and comparing the first information with reference information to obtain a comparison result, wherein the comparison result is used for representing the running state of the target equipment.
In a second aspect, an embodiment of the present application further provides an unmanned aerial vehicle intelligence inspection device to workshop appliance, the device includes:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring the position information of each device in a workshop and determining waypoints of a routing inspection route based on the position information, and one waypoint corresponds to one position information;
the sending module is used for determining a routing inspection route of the workshop based on all the waypoints and sending the routing inspection route to the unmanned aerial vehicle;
the receiving module is used for receiving first information acquired by the unmanned aerial vehicle based on the routing inspection route, wherein the first information comprises the position of target equipment determined based on the waypoint;
and the comparison determining module is used for comparing the first information with the reference information and acquiring a comparison result, wherein the comparison result is used for representing the running state of the target equipment.
In a third aspect, an embodiment of the present application further provides an electronic device, which includes a processor, a memory, and a computer program stored on the memory and executable on the processor, and when executed by the processor, the computer program implements the steps of the method according to the first aspect.
In a fourth aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the steps of the method according to the first aspect.
In this application embodiment, at first acquire the positional information of each equipment in the workshop, positional information confirms the waypoint of patrolling and examining the route, the waypoint can correspond the positional information of equipment in the workshop, thereby all acquire thereby the route of patrolling and examining of workshop is confirmed to the waypoint, and send to unmanned aerial vehicle patrol and examine the route, receive unmanned aerial vehicle is based on patrol and examine the first information that the route acquireed, first information can pass through the position of the target device that the waypoint confirmed, finally, will first information is compared with reference information, acquires the comparison result, and the operating condition of target device can be confirmed to the comparison result. Therefore, the information of the equipment is acquired by the unmanned aerial vehicle, the running state of the target equipment is determined by analyzing the received information, the safety condition of the equipment in the workshop can be monitored and sensed abnormally, and the possibility of missing detection and error detection of the abnormal condition of the equipment in the workshop is effectively reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required to be used in the description of the embodiments of the present application will be briefly described below, and it is obvious that the drawings in the description below are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings may be obtained according to these drawings without inventive labor.
Fig. 1 is one of flowcharts of an unmanned aerial vehicle intelligent inspection method for workshop equipment according to an embodiment of the present application;
fig. 2 is one of flow charts of receiving first information and comparing the first information in the unmanned aerial vehicle intelligent inspection method for workshop equipment according to the embodiment of the present application;
fig. 3 is a second flowchart of receiving first information and comparing the first information with the information in the unmanned aerial vehicle intelligent inspection method for workshop equipment according to the embodiment of the present application;
fig. 4 is a third flow chart of receiving first information and comparing the first information with information in the unmanned aerial vehicle intelligent inspection method for the workshop equipment provided by the embodiment of the application;
fig. 5 is one of schematic structural diagrams of an unmanned aerial vehicle intelligent inspection device for workshop equipment according to an embodiment of the present application;
fig. 6 is a second schematic structural diagram of the unmanned aerial vehicle intelligent inspection device for the workshop equipment according to the embodiment of the present application;
fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described clearly below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments that can be derived by one of ordinary skill in the art from the embodiments given herein are intended to be within the scope of the present disclosure.
The terms first, second and the like in the description and in the claims of the present application are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that embodiments of the application may be practiced in sequences other than those illustrated or described herein, and that the terms "first," "second," and the like are generally used herein in a generic sense and do not limit the number of terms, e.g., the first term can be one or more than one. In addition, "and/or" in the specification and claims means at least one of connected objects, a character "/", and generally means that the former and latter related objects are in an "or" relationship.
The unmanned aerial vehicle intelligent inspection method for the workshop equipment provided by the embodiment of the application is described in detail through specific embodiments and application scenarios thereof in combination with the attached drawings.
Referring to fig. 1, fig. 1 is a flowchart of an intelligent unmanned aerial vehicle inspection method for a workshop apparatus according to an embodiment of the present application, and as shown in fig. 1, the method includes the following steps:
and 11, acquiring the position information of each device in the workshop, and determining the waypoints of the routing inspection route based on the position information, wherein one waypoint corresponds to one position information.
Specifically, the embodiment of the application can be applied to a chemical manufacturing workshop, a physical mechanical manufacturing workshop, a food chemical workshop and the like, and the equipment can be any kind of equipment which is used for any purpose of manufacturing, preparing materials, processing, assembling, repairing, conveying, sewage disposal and the like and can play a role in production operation of the workshop. Illustratively, a large number of reaction devices, equipment and a large number of pipelines are arranged among the equipment in a chemical plant, and the devices, the equipment and the pipelines can be the equipment in the embodiment, for example, in a polysilicon preparation plant, a rectifying tower body, an auxiliary pipeline, a frame heat exchanger, a tower bottom pump and various instruments can be all included in the equipment range in the plant; meanwhile, the position information of the equipment which can be acquired according to different types of workshops is different, the position information of each equipment can be two-dimensional position information or three-dimensional position information of the equipment in the workshops, and the position information of each equipment corresponds to a navigation point in an unmanned aerial vehicle inspection route. Confirm the waypoint that unmanned aerial vehicle patrolled and examined the route through the equipment position information in the workshop, each waypoint corresponds each equipment that needs carry out the detection, like this, can not omit some equipment that are difficult to detect, can reduce the possibility of missing the equipment of abnormal conditions and examining to appearing, effective management and control workshop appliance reduces the emergence of workshop accident.
In the embodiment of the application, an execution main body for acquiring the position information of each device in the workshop can be an intelligent terminal, the terminal can be divided into an intelligent control platform and an intelligent analysis platform in the embodiment of the application, the intelligent control platform can perform real-time video, real-time alarm and real-time statistics, and the intelligent control platform can perform real-time processing on routing inspection data and perform real-time management and control on routing inspection tasks; meanwhile, the intelligent analysis platform can perform intelligent analysis and judgment, recognize and decide received information, such as gas recognition, liquid recognition, color recognition, temperature recognition, brightness recognition and the like, feed recognition results and decision results back to the intelligent control platform, the intelligent control platform executes the recognition results and the decision results or continuously transmits the recognition results and the decision results to the unmanned aerial vehicle, and the unmanned aerial vehicle executes operation after receiving the recognition results and the decision results. The intelligent terminal realizes automatic statistics of information by scheduling and acquiring data of the unmanned aerial vehicle, and the work efficiency is improved.
It should be noted that the workshop may be a unit for organizing and producing inside an enterprise, and is composed of a plurality of work sections or production teams, and is set according to the professional properties of each stage of product production or each component of the product inside the enterprise and the professional properties of each auxiliary production activity, and has a workshop or a site, a machine device, a tool, and a certain number of production personnel, technicians and managers which are necessary for completing the production task; the embodiment can also be applied to the interior of large industrial buildings for production, manufacture, storage, transportation and assembly, and can also be used in industrial parks, construction and construction sites and the like.
And step 12, determining the routing inspection route of the workshop based on all the waypoints, and sending the routing inspection route to the unmanned aerial vehicle.
It should be noted that, unmanned aerial vehicle in this application embodiment can constitute complete flight system by flight platform, aircraft load and integration data platform, and above-mentioned flight platform includes aircraft and air-ground communication, and the aircraft specifically can comprise navigation, flight control system, driving system, electrical power generating system, unmanned aerial vehicle organism, and the air-ground communication can be carried out through modes such as remote control, image transmission, data transmission. The flight load can be by cloud platform, camera and other loads and constitute, can set up cloud platform control System, motor drive System, mechanical steady device, the appearance Reference System of navigating (AHRS) on the cloud platform, and the camera of load can be visible light camera, infrared thermal imaging camera, oblique photography camera on the cloud platform, can also be equipment that can record effective information such as camera, can also set up other loads such as megaphone, the setting of jettisoning on the cloud platform. The integrated data platform can be a data platform for information transmission between the unmanned aerial vehicle and the intelligent terminal, and a transmission channel can be established for the unmanned aerial vehicle, the intelligent control platform and the intelligent analysis platform through the ground base station. Patrol and examine through unmanned aerial vehicle going on in the workshop, collection equipment information transfer to intelligent control platform, intelligent analysis platform, confirm by intelligent control platform, intelligent analysis platform that the route is patrolled and examined and send to unmanned aerial vehicle, unmanned aerial vehicle patrols and examines based on patrolling and examining the route, can reduce personnel by a wide margin and patrol and examine work load, realize the automatic statistics of informationization, more effective management and control on-the-spot production and operation risk.
It is worth mentioning that above-mentioned unmanned aerial vehicle can realize full automatization operation, can begin to patrol and examine after receiving and patrol and examine the instruction, also can patrol and examine according to the time of patrolling and examining that sets up, can schedule unmanned aerial vehicle's take off and land, patrol and examine, operation such as charge through setting up automatic hangar, can realize unmanned aerial vehicle's automation take off, patrol and examine, return to the journey, charge etc. can reduce personnel's input, improve work efficiency.
In the step, corresponding waypoints are obtained based on the determination of the position information of each device in the workshop, and the waypoints are combined to form a track, so that the routing inspection route of the unmanned aerial vehicle can be determined by the track formed by the waypoints. Can be through setting for the waypoint of patrolling and examining the route to different workshop environment demands, for example can divide the relevant region of preparation polycrystalline silicon into spherical tank district and purification district in the polycrystalline silicon preparation trade, the spherical tank district mainly sets up the raw and other materials of large-scale spherical tank savings polycrystalline silicon preparation, lays a large amount of pipeline transmission raw materials to preparing the region simultaneously, can confirm according to the overall arrangement characteristics of spherical tank and pipeline in the region when unmanned aerial vehicle patrols and examines the route. The routing inspection route of the unmanned aerial vehicle is determined by arranging the corresponding waypoints in the workshop, the running states of all equipment in the workshop can be controlled, and the possibility of missed detection and false detection of the equipment in abnormal conditions is greatly reduced.
It should be noted that, in this embodiment, relevant elements such as height, depth, angle and the like that personnel patrol can be obtained, and reference data is provided for the patrol route of the unmanned aerial vehicle.
And step 13, receiving first information acquired by the unmanned aerial vehicle based on the routing inspection route, wherein the first information comprises the position of target equipment determined based on the waypoint, and the target equipment is any equipment in the workshop.
In this step, unmanned aerial vehicle patrols and examines the task according to the route execution of patrolling and examining that receives, in the in-process of patrolling and examining according to patrolling and examining the route, unmanned aerial vehicle can obtain the position of the target device that current position equipment corresponds in real time, also can obtain the first information of current position equipment, above-mentioned target device can be the equipment that has abnormal conditions, can be that the temperature is too high, the drip leaks liquid, run the gas leakage body, appear deformation, appear the attachment, the unusual change of colour etc. multiple and normal operating condition have great unusual equipment or pipeline that probably arouse the incident, above for incomplete listing, in practical application, can be according to the demand setting target device in workshop, mill.
Specifically, the first information is information acquired by the unmanned aerial vehicle in real time, and specifically may include image information acquired by a camera mounted on the unmanned aerial vehicle in real time, and the camera may be a visible light camera, a thermal imaging camera, a hyperspectral camera, or the like; the first information can also be information collected by a sensor carried on the unmanned aerial vehicle in real time, and can be temperature, brightness, sound, smell, substance form and the like, and the sensor can comprise a temperature-sensitive sensor, a photosensitive sensor, a sound-sensitive sensor, a chemical sensor, a fluid sensor and the like.
In an embodiment of the application, after receiving the first information that unmanned aerial vehicle obtained, can transmit for intelligent analysis platform and intelligent control platform through data network and carry out the preliminary treatment to first information, the preliminary treatment can be to the parameter information of first information adjust, the comparison of the follow-up information of being convenient for.
And 14, comparing the first information with reference information to obtain a comparison result, wherein the comparison result is used for representing the running state of the target equipment.
Specifically, the reference information and the first information should be collected in a manner consistent, the reference information should be collected by the unmanned aerial vehicle under the normal operation condition of the target device, and the reference information may be obtained by a camera and a sensor mounted on the unmanned aerial vehicle when the target device operates normally, and the types of the camera and the sensor are already described and are not repeated herein.
In this step, the execution subject may be an intelligent terminal, that is, the intelligent control platform and the intelligent analysis platform may identify the target device in the first information and the target device in the reference information, compare the target device in the first information with the target device in the reference information, determine whether the target device in the first information and the target device in the reference information are different, and if there is a difference, indicate that the target device in the first information is inconsistent with the target device in the normal operation state, indicate that the target device in the first information may have an abnormal condition. Like this, through the equipment that will acquire under the target device's the first information and normal running state compare can comparatively accurately confirm the running state of target device under the actual situation, solved among the prior art and patrolled and examined the personnel and patrol and examine the problem that difficult examination, omission, the wrong detection that exists to workshop appliance safety, broken away from patroller and examined the constraint to personal experience when judging whether equipment is in abnormal state, reduced workshop production safety zero error's the realization degree of difficulty by a wide margin, provide sustainability and convenience for workshop production development.
Optionally, referring to fig. 2, in fig. 2, one of flowcharts for receiving first information and comparing the first information and the information in the unmanned aerial vehicle intelligent inspection method for a plant device provided in the embodiment of the present application is shown, where the first information includes a first thermal imaging picture of the target device, the reference information includes a second thermal imaging picture, and the second thermal imaging picture is a picture acquired by the unmanned aerial vehicle in a normal operation state of the target device, and in this embodiment, the step 13 may include:
further, the step 14 may include:
It should be noted that the first information and the reference information may be represented by a thermal imaging picture at the same time, the thermal imaging picture may display temperature information of the device in the first information and the reference information, and the reference information may be acquired by the unmanned aerial vehicle in advance, or may be acquired by manual measurement, instrument detection, or the like.
In this step, the unmanned aerial vehicle may acquire a thermal imaging picture of the target device as a first thermal imaging picture through a thermal imaging camera mounted thereon, transmit the first thermal imaging picture to the intelligent terminal for processing, and compare the first thermal imaging picture with the second thermal imaging picture by calling a second thermal imaging picture, which is a reference picture of the target device in an image database of the intelligent terminal, so that the temperature of the target device may be represented as a temperature interval in a normal operation state by comparing the temperature represented by the first thermal imaging picture with the temperature represented by the second thermal imaging picture in consideration of a change in temperature due to environmental weather, energy power, a manufacturing step, a processing stage, and the like, and the real-time operation state of the target device may be determined by comparing the temperature of the first thermal imaging picture with the temperature interval. From this, patrol and examine through unmanned aerial vehicle intelligence and can take to acquire its thermal imaging picture to the equipment that the temperature can change when the abnormal condition appears, compare the mode with the thermal imaging picture under the normal running state, confirm the running state of this equipment, can solve prior art and be difficult to detect the problem that equipment loses temperature, too high temperature, can discover fast the equipment of temperature loss point, high temperature point, effectively reduce energy loss, improve and patrol and examine efficiency, resources are saved.
Illustratively, a large number of process pipelines are arranged among various devices in a chemical enterprise, medium heat loss and cold loss in the pipelines account for a large proportion of energy consumption of the devices, for example, in a steam pipe network system, steam is produced from a steam source, 5% to 15% of energy is lost in the process of conveying the steam to users through a pipe network, a plurality of pipelines in a factory are all located on an overhead pipe gallery, the damage fault of pipeline heat insulation usually occurs on the upper surface part, the existing detection technology is difficult to measure the heat insulation condition and the pipeline heat insulation damage condition of the upper surface of the pipeline, the heat insulation damage condition is underrepaired, energy loss is directly caused, and the energy consumption of the enterprise is increased. The abnormal detection of the position difficult to detect on the upper surface of the pipeline can be realized through the embodiment of the application, the possibility of missing detection and error detection of the pipeline in an abnormal state in the existing detection technology is greatly reduced, the damaged position of the pipeline is timely checked and determined, and the resource waste is reduced.
Optionally, referring to fig. 3, in an embodiment of the present application, fig. 3 is a second flowchart of a process for receiving first information and comparing the first information with information in the method for intelligently inspecting an unmanned aerial vehicle for a plant device, where the first information includes a first image of the target device, the reference information includes a second image, and the second image is an image acquired by the unmanned aerial vehicle in a normal operating state of the target device, and in this embodiment, the step 13 may include:
further, step 14 comprises:
In a specific embodiment, the first information and the reference information may also be represented by images, the first image may be an apparatus appearance image, an apparatus top image, an apparatus bottom image, an apparatus side image, an apparatus shape image, an apparatus attachment color image, an apparatus and pipeline joint image, and the like, and the reference information, that is, the second image, may be an image obtained by the drone and corresponding to the first image in a normal operation state of the apparatus.
Illustratively, in a workshop for preparing polycrystalline silicon, devices to be inspected include a rectifying tower body, an auxiliary pipeline, a frame heat exchanger, a tower bottom pump, various meters, a spherical tank body and an auxiliary pipeline, when abnormal conditions or leakage and leakage of the devices occur, attachments can appear outside the devices, the attachments are generally white or cream yellow hydrolyzates, when an unmanned aerial vehicle inspects the devices possibly in the abnormal conditions, a high-definition image of the devices, namely a first image, is collected and transmitted to an intelligent terminal through a data network, the intelligent terminal calls reference information in an image database, namely the high-definition image of the devices in a normal operation state, namely a second image, and then compares the first image with the second image to determine the difference between the first image and the second image, wherein the difference between the first image and the second image can indicate that the target devices corresponding to the first image possibly have the abnormal conditions. Like this, acquire the high definition image of target device through unmanned aerial vehicle, compare the high definition image of target device with the high definition image of the target device who acquires under the normal operating condition, can detect out the equipment that has the abnormal conditions, can in time respond through the terminal to this abnormal equipment, the emergency treatment speed of accident has been improved, and simultaneously, adopt unmanned aerial vehicle to patrol and examine and effectively improve and patrol and examine efficiency, practice thrift the human resource cost, can also reduce personnel and expose the risk in dangerous environment, effectively reduced and patrolled and examined danger coefficient.
Optionally, step 14 comprises:
generating a first alert if the color of the first identifier matches a first color;
generating a second alarm if the color of the first identifier matches a second color;
wherein the level of the first alarm is higher than the level of the second alarm.
In another specific embodiment, the first identification object in the first image can be identified through the intelligent terminal, the color of the first identification object can be changed to represent different running states of the first identification object, when the first identification object belongs to the first color, the intelligent terminal determines the length of time that the target equipment is in an abnormal state, the light difference between the first color and the second color can represent the difference of the time that the target equipment is in the abnormal state, the first color and the second color respectively trigger a first alarm and a second alarm, the first alarm is higher in level than the second alarm, the time that the abnormal state is displayed by the first color is longer, the target equipment corresponding to the first identification object with the first alarm can be preferentially processed, resources can be reasonably called, and the running efficiency of the workshop can be improved.
For example, based on the above identification of attachments in the embodiment of polysilicon preparation, colors of attachments can be distinguished, for example, white and cream yellow attachments are attached to a spherical tank body in a high-definition image acquired by an unmanned aerial vehicle, the exposure time of the cream yellow attachments to the external space is longer than that of the white attachments, the spherical tank with the cream yellow attachments should be processed in preference to the spherical tank with the white attachments, a first alarm is generated for the spherical tank with the cream yellow attachments, and a second alarm is generated for the spherical tank with the white attachments, so that abnormal equipment exposed for a longer time can be processed in preference, accident emergency handling capability of a workshop is improved, existing resources are reasonably utilized, and resources are effectively saved.
Optionally, referring to fig. 4, in fig. 4, a third flowchart of receiving first information and comparing the first information with information in the unmanned aerial vehicle intelligent inspection method for a plant device provided in the embodiment of the present application is shown, where the first information includes a first gas concentration of the target device, the reference information includes a second gas concentration, and the second gas concentration is obtained by the unmanned aerial vehicle under a normal operating condition of the target device, and in this embodiment, the step 13 may include:
further, step 14 comprises:
In a specific embodiment, the first information and the reference information may also be represented by gas concentration, the first gas concentration may be represented by gas concentration around a target device obtained in real time by a gas sensor mounted on the unmanned aerial vehicle, the second gas concentration may be represented by gas concentration of the target device obtained by the gas sensor in a normal operation state, the gas concentration around the target device in the normal operation state of the target device may be interfered by factors such as temperature, humidity, and gas emission, a gas concentration threshold corresponding to the second gas concentration in the normal operation state may be set, and when the gas concentration threshold corresponding to the second gas concentration is exceeded, the operation state of the target device may be determined.
For example, in a workshop for preparing polycrystalline silicon, gas leakage may occur to equipment due to fault abnormality, aging, abrasion and the like, so that the equipment leaks gas such as hydrogen, hydrogen chloride and the like, and the gas concentration of the equipment where the leakage occurs is higher than that of other areas. And if the first gas concentration is detected to be higher than the second gas concentration, indicating that the target equipment leaks. Therefore, by monitoring the gas concentration around the equipment, the equipment with possible leakage can be identified, the gas leakage condition of workshop equipment can be controlled in real time, and the possibility of missed detection and false detection is reduced.
Optionally, after comparing the first information with the reference information and obtaining a comparison result, the method further includes:
under the condition that the comparison results are inconsistent, acquiring the position of the target equipment and generating early warning;
obtaining a rechecking result of the target equipment;
and confirming whether to send out an alarm or not based on the rechecking result.
In a specific embodiment of the present application, in the case that the comparison result is inconsistent, the first thermal imaging picture obtained by the unmanned aerial vehicle in the above embodiment during the inspection may be inconsistent with the second thermal imaging picture of the unmanned aerial vehicle in the state of normal operation of the target device; the first image collected by a visual camera carried on the unmanned aerial vehicle during inspection is inconsistent with the second image collected by the unmanned aerial vehicle in a normal state of the target equipment; the gas concentration around the target equipment that unmanned aerial vehicle obtained when patrolling and examining also can be inconsistent with the gas concentration that unmanned aerial vehicle gathered under the target equipment normal operating condition. The sound of the unmanned aerial vehicle during the operation of the target equipment, which is obtained based on the routing inspection route, can be compared with the sound of the target equipment in the operation, which is obtained in a normal state. Above-mentioned comparison result is inconsistent can show that the operational aspect of target device when unmanned aerial vehicle patrols and examines has the difference with normal operating condition, need carry out the early warning to target device, can inform the target device that workshop staff probably causes the incident, reduces the potential safety hazard.
It should be noted that, the position of the target device may be obtained based on a Positioning System mounted on a platform of the unmanned aerial vehicle, where the unmanned aerial vehicle is located currently, where the Positioning System is, for example, a Global Positioning System (GPS) for receiving a Global Positioning signal of the Global Positioning System to locate the current position of the unmanned aerial vehicle, and the Positioning System may continuously send identified Positioning position information, that is, the current coordinate position of the unmanned aerial vehicle, to determine the location of the target device that may be abnormal; the position of the target device can be determined based on effective information in the first information acquired by the unmanned aerial vehicle, wherein the effective information can be scene layout information, device number information, device structure information and the like; the position of the target device can be determined based on the waypoint where the target device is located acquired from the unmanned aerial vehicle routing inspection route.
Specifically, the early warning system which is carried on the unmanned aerial vehicle platform can generate early warning, and after the early warning indication is received, the unmanned aerial vehicle platform gives an alarm; or the early warning system is arranged on the intelligent control platform and sends out early warning to the control staff after receiving an early warning instruction sent by the control platform. The staff receives the early warning and can carry out manual inspection and recheck on the target equipment in time, or the related rechecking device can carry out inspection and recheck on the target equipment and feed the recheck result back to the intelligent control platform, and the intelligent control platform can confirm whether the target equipment has an abnormal state or not based on the recheck result and send out an alarm by the alarm system under the condition that the abnormal state is confirmed. The early warning alarm is sent out to the equipment which possibly has an abnormal state, the running state of the equipment in the workshop can be efficiently and conveniently monitored, the equipment which possibly has the abnormal state is timely processed, the possibility of workshop operation obstacle caused by equipment abnormality is reduced, and the stability of workshop production is improved.
Please refer to fig. 5, fig. 5 is a schematic structural diagram of an unmanned aerial vehicle intelligent inspection device for a workshop apparatus according to an embodiment of the present application, and as shown in fig. 5, the unmanned aerial vehicle intelligent inspection device 20 includes:
the acquisition module 21 is configured to acquire position information of each device in the workshop, and determine waypoints of the inspection route based on the position information, where one waypoint corresponds to one piece of position information;
the sending module 22 is used for determining the routing inspection route of the workshop based on all the waypoints and sending the routing inspection route to the unmanned aerial vehicle;
a receiving module 23, configured to receive first information obtained by the unmanned aerial vehicle based on the routing inspection route, where the first information includes a position of a target device determined based on the waypoint;
and a comparison determination 24, configured to compare the first information with reference information, and obtain a comparison result, where the comparison result is used to represent an operating state of the target device.
Optionally, the first information includes a first thermal imaging picture of the target device, the reference information includes a second thermal imaging picture, and the second thermal imaging picture is a picture acquired by the drone in a normal operating state of the target device, and the receiving module 23 includes:
the first receiving submodule is used for receiving a first thermal imaging picture of the target device, which is obtained by the unmanned aerial vehicle based on the routing inspection route, wherein the first thermal imaging picture of the target device is a picture formed based on information acquired by a thermal imaging camera carried by the unmanned aerial vehicle aiming at the target device;
further, the alignment module 24 is configured to:
determining a temperature of the target device based on the first thermal imaging picture;
comparing the temperature corresponding to the target device with the temperature interval corresponding to the second thermal imaging picture;
and determining that the state of the target equipment is an abnormal state under the condition that the temperature corresponding to the target equipment does not belong to the temperature interval corresponding to the second thermal imaging picture.
Optionally, the first information includes a first image of the target device, the reference information includes a second image, the second image is an image acquired by the drone in a normal operating state of the target device, and the receiving module 23 includes:
the second receiving submodule is used for receiving a first image, which is obtained by the unmanned aerial vehicle based on the routing inspection route and aims at the target equipment, of the target equipment, wherein the first image of the target equipment is an image shot by a visible light camera carried by the unmanned aerial vehicle aiming at the target equipment;
further, the alignment module 24 is configured to:
acquiring a first identification object in the first image and a second identification object in the second image;
comparing the color corresponding to the first identifier with the color corresponding to the second identifier;
and determining that the state of the target device is an abnormal state when the color of the first identification object is inconsistent with the color of the second identification object.
Optionally, the apparatus further comprises a first alarm module for:
generating a first alert if the color of the first identifier matches a first color;
generating a second alarm if the color of the first identifier matches a second color;
wherein the level of the first alarm is higher than the level of the second alarm.
Optionally, the first information includes a first gas concentration of the target device, the reference information includes a second gas concentration, and the second gas concentration is obtained by the drone under a normal operating condition of the target device, and the receiving module 23 includes:
the third receiving submodule is used for receiving the first gas concentration, obtained by the unmanned aerial vehicle based on the routing inspection route, around the target equipment, wherein the first gas concentration around the target equipment is the gas concentration acquired by a gas sensor carried by the unmanned aerial vehicle aiming at the target equipment;
further, the alignment module 24 is configured to:
comparing the first gas concentration to a gas concentration threshold corresponding to the second gas concentration;
determining that the state of the target device is an abnormal state if the first gas concentration is greater than the gas concentration threshold.
Optionally, the unmanned aerial vehicle intelligent inspection device 20 further includes:
the early warning module 25 is configured to acquire the position of the target device and generate an early warning if the comparison result is inconsistent;
a review module 26, configured to obtain a review result of the target device;
and a second alarm module 27, configured to confirm whether to issue an alarm based on the review result.
The unmanned aerial vehicle intelligence inspection device to workshop appliance that this application embodiment provided can realize each process that the unmanned aerial vehicle intelligence inspection method embodiment to workshop appliance in above-mentioned figure 1 to figure 4 realized, for avoiding the repetition, no longer gives unnecessary details here.
Referring to fig. 7, fig. 7 is an electronic device 30 provided in this embodiment of the present application, and the electronic device includes a processor 31, a memory 32, and a computer program stored in the memory 32 and capable of running on the processor, where the computer program is executed by the processor 31 to implement the processes of the above-mentioned embodiment of the method for intelligently polling an unmanned aerial vehicle for a plant room device, and can achieve the same technical effects, and no further description is provided here to avoid repetition.
It is noted that processor 31 may include one or more processing units; optionally, the processor 31 integrates an application processor, which primarily handles operations involving the operating system, user interface, and applications, and a modem processor, which primarily handles wireless communication signals, such as a baseband processor. It will be appreciated that the modem processor described above may not be integrated into the processor 31.
It should be understood that the memory 32 may be used to store software programs as well as various data. The memory 32 may mainly include a first storage area storing programs or instructions and a second storage area storing data, wherein the first storage area may store an operating system, application programs or instructions required for at least one function (such as a sound playing function, an image playing function, etc.), and the like. Further, the memory 32 may include volatile memory or nonvolatile memory, or the memory 32 may include both volatile and nonvolatile memory. The non-volatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash Memory. The volatile Memory may be a Random Access Memory (RAM), a Static Random Access Memory (Static RAM, SRAM), a Dynamic Random Access Memory (Dynamic RAM, DRAM), a Synchronous Dynamic Random Access Memory (Synchronous DRAM, SDRAM), a Double Data Rate Synchronous Dynamic Random Access Memory (Double Data Rate SDRAM, ddr SDRAM), an Enhanced Synchronous SDRAM (ESDRAM), a Synchronous Link DRAM (SLDRAM), and a Direct Memory bus RAM (DRRAM). The memory 32 in the embodiments of the present application includes, but is not limited to, these and any other suitable types of memory.
The embodiment of the application further provides a readable storage medium, wherein a program or an instruction is stored on the readable storage medium, and when the program or the instruction is executed by the processor, the processes of the embodiment of the intelligent unmanned aerial vehicle inspection method for the workshop equipment are realized, the same technical effects can be achieved, and the details are not repeated here to avoid repetition.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a component of' 8230; \8230;" does not exclude the presence of another like element in a process, method, article, or apparatus that comprises the element. Further, it should be noted that the scope of the methods and apparatus of the embodiments of the present application is not limited to performing the functions in the order illustrated or discussed, but may include performing the functions in a substantially simultaneous manner or in a reverse order based on the functions involved, e.g., the methods described may be performed in an order different than that described, and various steps may be added, omitted, or combined. In addition, features described with reference to certain examples may be combined in other examples.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a computer software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present application.
While the present embodiments have been described with reference to the accompanying drawings, it is to be understood that the invention is not limited to the precise embodiments described above, which are meant to be illustrative and not restrictive, and that various changes may be made therein by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (14)
1. The utility model provides an unmanned aerial vehicle intelligence inspection method to workshop appliance which characterized in that includes:
acquiring position information of each device in a workshop, and determining waypoints of a routing inspection route based on the position information, wherein one waypoint corresponds to one position information;
determining a routing inspection route of the workshop based on all the waypoints, and sending the routing inspection route to the unmanned aerial vehicle;
receiving first information acquired by the unmanned aerial vehicle based on the routing inspection route, wherein the first information comprises the position of target equipment determined based on the waypoint, and the target equipment is any equipment in the workshop;
and comparing the first information with reference information to obtain a comparison result, wherein the comparison result is used for representing the running state of the target equipment.
2. The method according to claim 1, wherein the first information includes a first thermal imaging picture of the target device, the reference information includes a second thermal imaging picture, the second thermal imaging picture is a picture acquired by the unmanned aerial vehicle in a normal operation state of the target device, and the receiving the first information acquired by the unmanned aerial vehicle based on the routing inspection route includes:
receiving a first thermal imaging picture of the target equipment, which is acquired by the unmanned aerial vehicle based on the routing inspection route, wherein the first thermal imaging picture is a picture formed by aiming at information acquired by the target equipment based on a thermal imaging camera carried by the unmanned aerial vehicle;
the comparing the first information with the reference information to obtain a comparison result includes:
determining a temperature of the target device based on the first thermal imaging picture;
comparing the temperature corresponding to the target device with the temperature interval corresponding to the second thermal imaging picture;
and determining that the state of the target equipment is an abnormal state under the condition that the temperature corresponding to the target equipment does not belong to the temperature interval corresponding to the second thermal imaging picture.
3. The method according to claim 1, wherein the first information includes a first image of the target device, the reference information includes a second image, the second image is an image acquired by the drone in a normal operating state of the target device, and the receiving the first information acquired by the drone based on the patrol route includes:
receiving a first image, which is acquired by the unmanned aerial vehicle based on the routing inspection route and aims at the target equipment, wherein the first image is an image shot by a visible light camera carried by the unmanned aerial vehicle aiming at the target equipment;
the comparing the first information with the reference information to obtain a comparison result includes:
acquiring a first identification object in the first image and a second identification object in the second image;
comparing the color corresponding to the first identifier with the color corresponding to the second identifier;
and determining that the state of the target device is an abnormal state when the color of the first identification object is inconsistent with the color of the second identification object.
4. The method according to claim 3, wherein after determining that the state of the target device is an abnormal state in a case where the color of the first recognized object does not coincide with the color of the second recognized object, the method further comprises:
generating a first alert if the color of the first identifier matches a first color;
generating a second alert if the color of the first identifier matches a second color;
wherein the level of the first alarm is higher than the level of the second alarm.
5. The method of claim 1, wherein the first information includes a first gas concentration of the target device, the reference information includes a second gas concentration that the drone obtained under normal operating conditions of the target device, and the receiving the first information that the drone obtained based on the inspection route includes:
receiving a first gas concentration around the target equipment, which is acquired by the unmanned aerial vehicle based on the routing inspection route, wherein the first gas concentration is a gas concentration acquired by a gas sensor carried by the unmanned aerial vehicle aiming at the target equipment;
the comparing the first information with the reference information to obtain a comparison result includes:
comparing the first gas concentration to a gas concentration threshold corresponding to the second gas concentration;
and determining that the state of the target equipment is an abnormal state when the first gas concentration is greater than the gas concentration threshold corresponding to the second gas concentration.
6. The method of claim 1, wherein after comparing the first information with reference information and obtaining a comparison result, further comprising:
under the condition that the comparison results are inconsistent, acquiring the position of the target equipment and generating early warning;
obtaining a rechecking result of the target equipment;
and confirming whether to send out an alarm or not based on the rechecking result.
7. The utility model provides an unmanned aerial vehicle intelligence inspection device to workshop appliance which characterized in that includes:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring the position information of each device in a workshop and determining waypoints of a routing inspection route based on the position information, and one waypoint corresponds to one position information;
the sending module is used for determining a routing inspection route of the workshop based on all the waypoints and sending the routing inspection route to the unmanned aerial vehicle;
the receiving module is used for receiving first information acquired by the unmanned aerial vehicle based on the routing inspection route, wherein the first information comprises the position of target equipment determined based on the waypoint, and the target equipment is any equipment in the workshop;
and the comparison determining module is used for comparing the first information with the reference information and acquiring a comparison result, wherein the comparison result is used for representing the running state of the target equipment.
8. The apparatus of claim 7, wherein the first information comprises a first thermal image of the target device, the reference information comprises a second thermal image, and the second thermal image is a picture of the drone captured during a normal operation of the target device, and the receiving module comprises:
the first receiving submodule is used for receiving a first thermal imaging picture of the target device, which is acquired by the unmanned aerial vehicle based on the routing inspection route, wherein the first thermal imaging picture of the target device is a picture formed by aiming at information acquired by the target device based on a thermal imaging camera carried by the unmanned aerial vehicle;
the comparison module is used for:
determining a temperature of the target device based on the first thermal imaging picture;
comparing the temperature corresponding to the target device with the temperature interval corresponding to the second thermal imaging picture;
and determining that the state of the target equipment is an abnormal state under the condition that the temperature corresponding to the target equipment does not belong to the temperature interval corresponding to the second thermal imaging picture.
9. The apparatus of claim 7, wherein the first information comprises a first image of the target device, the reference information comprises a second image, and the second image is an image captured by the drone during normal operation of the target device, and the receiving module comprises:
the second receiving submodule is used for receiving a first image, which is acquired by the unmanned aerial vehicle based on the routing inspection route and aims at the target equipment, of the target equipment, wherein the first image of the target equipment is an image shot by a visible light camera carried by the unmanned aerial vehicle aiming at the target equipment;
the comparison module is used for:
acquiring a first identification object in the first image and a second identification object in the second image;
comparing the color corresponding to the first identifier with the color corresponding to the second identifier;
and determining that the state of the target device is an abnormal state when the color of the first identification object is inconsistent with the color of the second identification object.
10. The apparatus of claim 9, further comprising a first alarm module to:
generating a first alert if the color of the first identifier matches a first color;
generating a second alarm if the color of the first identifier matches a second color;
wherein the level of the first alarm is higher than the level of the second alarm.
11. The apparatus of claim 7, wherein the first information includes a first gas concentration of the target device, the reference information includes a second gas concentration, and the second gas concentration is obtained by the drone under normal operating conditions of the target device, and the receiving module includes:
the third receiving submodule is used for receiving a first gas concentration, obtained by the unmanned aerial vehicle on the basis of the routing inspection route, around the target device, wherein the first gas concentration around the target device is a gas concentration acquired by a gas sensor carried by the unmanned aerial vehicle for the target device;
the comparison module is used for:
comparing the first gas concentration to a gas concentration threshold corresponding to the second gas concentration;
determining that the state of the target device is an abnormal state if the first gas concentration is greater than the gas concentration threshold.
12. The apparatus of claim 7, further comprising:
the early warning module is used for acquiring the position of the target equipment and generating early warning under the condition that the comparison result is inconsistent;
the review module is used for acquiring a review result of the target equipment;
and the second alarm module is used for confirming whether to send out an alarm or not based on the rechecking result.
13. An electronic device, comprising a processor and a memory, the memory storing a program or instructions executable on the processor, the program or instructions when executed by the processor implementing the steps of the unmanned aerial vehicle intelligent inspection method for plant equipment according to any one of claims 1 to 6.
14. A computer-readable storage medium, on which a program or instructions are stored, which when executed by a processor, implement the steps of the unmanned aerial vehicle smart inspection method for plant equipment according to any one of claims 1 to 6.
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| CN117192288A (en) * | 2023-09-22 | 2023-12-08 | 河南蓝犀牛工业装备技术有限公司 | Smart distribution network fault positioning method and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117192288A (en) * | 2023-09-22 | 2023-12-08 | 河南蓝犀牛工业装备技术有限公司 | Smart distribution network fault positioning method and system |
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