CN112191353A - Device and method for improving safety of operation area of stone crusher - Google Patents
Device and method for improving safety of operation area of stone crusher Download PDFInfo
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- CN112191353A CN112191353A CN202011073809.9A CN202011073809A CN112191353A CN 112191353 A CN112191353 A CN 112191353A CN 202011073809 A CN202011073809 A CN 202011073809A CN 112191353 A CN112191353 A CN 112191353A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B02—CRUSHING, PULVERISING, OR DISINTEGRATING; PREPARATORY TREATMENT OF GRAIN FOR MILLING
- B02C—CRUSHING, PULVERISING, OR DISINTEGRATING IN GENERAL; MILLING GRAIN
- B02C23/00—Auxiliary methods or auxiliary devices or accessories specially adapted for crushing or disintegrating not provided for in preceding groups or not specially adapted to apparatus covered by a single preceding group
- B02C23/04—Safety devices
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
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Abstract
The embodiment of the application provides a device and a method for promoting stone crusher work area security, the device includes: the laser detection unit is arranged at an entrance of a working area of the stone crusher and is configured to acquire detection data of the entrance, confirm that an intrusion object exists according to the detection data and generate first early warning information; the moving object detection unit is arranged above the laser detection unit and is configured to form a moving object detection area in a preset range and generate second early warning information when the intrusion object exists in the preset range; the image identification unit is arranged in the operation area and is configured to collect video data of the operation area, identify the intrusion object in the video data based on a deep learning network and generate third early warning information; a processing unit configured to generate an operation instruction for controlling the stone crusher according to the first warning information, the second warning information and the third warning information.
Description
Technical Field
The application relates to the field of mining stone crushing, in particular to a device and a method for improving safety of a stone crusher operation area.
Background
The fixed crusher is indispensable technical equipment for mine production, is responsible for crushing large ores accumulated above a grid screen of a mine draw shaft into proper size and enabling the large ores to fall into a draw shaft below the grid screen, and is one of core production equipment for realizing the crushing of the large ores at the draw shaft opening. At present, a fixed crusher for mines at home and abroad mainly adopts an operation mode of field manual operation, and has the disadvantages of severe working condition environment, high safety risk, high labor cost, low operation efficiency and poor strain capacity.
If the stone crusher intrudes into personnel or irrelevant vehicles during operation, the stone crusher can cause danger to the intruding objects, so that the technical problem of how to improve the safety of the working environment of the stone crusher is urgently solved.
Disclosure of Invention
An object of the embodiments of the present application is to provide a device and a method for improving safety of a working area of a stone crusher, so as to effectively prevent the stone crusher in operation from damaging an intruding object.
Some embodiments of the present application provide a device for improving safety of a working area of a rock crusher, the device comprising: the laser detection unit is arranged at an entrance of a working area of the stone crusher and is configured to acquire detection data of the entrance, confirm that an intrusion object exists according to the detection data and generate first early warning information; the moving object detection unit is arranged above the laser detection unit and is configured to form a moving object detection area in a preset range and generate second early warning information when the intrusion object exists in the preset range; the image identification unit is arranged in the operation area and is configured to collect video data of the operation area, identify the intrusion object in the video data based on a deep learning network and generate third early warning information; a processing unit configured to generate an operation instruction for controlling the stone crusher according to the first warning information, the second warning information and the third warning information.
Some embodiments of the present application may ensure that a rock crusher that is performing a rock crushing operation does not cause injury to persons or vehicles or other intruding objects that enter a work area.
In some embodiments, the laser detection unit includes at least one pair of laser correlation sensors, wherein the at least one pair of laser correlation sensors are arranged in pairs on both sides of the entrance in a horizontal direction.
Some embodiments of the present application confirm whether there is an intrusion object intruding into a working area by whether laser of a laser correlation sensor is blocked.
In some embodiments, the at least one pair of laser correlation sensors includes a plurality of pairs, and the plurality of pairs of laser correlation sensors are arranged on two sides of the entrance at equal intervals in the horizontal direction.
Some embodiments of this application adopt many pairs of laser correlation sensor level equidistant distribution can promote the detection precision to the object of rushing into at the entrance, can confirm the kind of object of rushing into according to the quantity that the laser that is sheltered from is right simultaneously, and then can produce the operating instruction to the differentiation of stone crusher.
In some embodiments, the at least one pair of laser correlation sensors includes a plurality of pairs, some of the pairs of laser correlation sensors are arranged on two sides of the entrance in a horizontal direction in pairs, and each of the remaining pairs of laser correlation sensors are arranged on two sides of the entrance in a vertical direction in pairs.
Some embodiments of this application can lay many pairs of laser correlation sensors in vertical direction to promote the entrance and adopt laser correlation sensor to the detection precision of invading the object.
In some embodiments, the processing unit is further configured to determine a category of the intrusion object according to an occlusion feature of the pairs of laser correlation sensors by the intrusion object, and generate the operation instruction corresponding to the category, wherein the occlusion feature includes a pair number of the occluded laser correlation sensors, and the category includes a human body or a vehicle.
The processor of some embodiments of the present application may determine the type of the intruding object according to the number of pairs of blocked pairs of laser pairs to adjust to the generated operation instruction, for example, if the intruding object is a person, preferentially generate an instruction to stop the stone crusher crushing work; if the intrusion object is a vehicle, whether to generate an instruction to stop the operation of the rock crusher can be determined according to the type of the entering vehicle.
In some embodiments, the moving object detection unit includes at least two infrared pyroelectric sensors, wherein the at least two infrared pyroelectric sensors are respectively disposed at both sides of the entrance and above the pairs of laser correlation sensors.
Some embodiments of the present application may further confirm whether the intruded object is a person through the infrared pyroelectric sensor, thereby enabling the processor to adjust the generated operation instruction.
In some embodiments, the image recognition unit comprises: an image acquisition sensor configured to acquire video data of the work area in real time; an identification processor configured to identify the intrusion object existing in the video data based on a deep learning network and generate the early warning information of the working area.
In some embodiments, the laser correlation sensor is configured to generate a first instruction for triggering the pyroelectric sensor to confirm whether the intrusion object is a person according to the first early warning information; the image recognition unit is configured to receive a second instruction generated by the pyroelectric sensor and confirm the number of the intrusion objects and the position of the intrusion objects in the working area according to the second instruction; the second instruction is generated when the pyroelectric sensor confirms that the intrusion object is a person, and the third early warning information carries the number and the position of the intrusion object.
According to some embodiments of the application, the confirmation of the intruder and the identification of the number and the position of the intruder are realized through the cooperation among the laser detection unit, the moving object detection unit and the image identification unit, so that whether the operation instruction for stopping the stone crushing operation of the stone crusher is confirmed or not can be generated more reasonably.
In some embodiments, the laser detection unit is configured to collect the portal data in real time; the laser detection unit is further configured to generate information for triggering one of the moving object detection unit and the image recognition unit to enter a data acquisition state from a sleep state according to the first early warning information; or the moving object detection unit is configured to generate a trigger for triggering the image recognition to enter a video data acquisition state from a sleep state according to the second early warning information.
According to some embodiments of the application, the laser detection unit is used for triggering the mobile object detection unit and the image identification unit to further acquire data and identify the intrusion object when detecting that the intrusion object exists, so that the power consumption of the mobile object detection unit and the power consumption of the image identification unit can be effectively saved.
In some embodiments, the processing unit is configured to: confirming and generating an instruction for controlling the stone crusher to stop working according to the priority of the first early warning information, the second early warning information and the third early warning information; the priority of the first early warning information is greater than that of the second early warning information and greater than that of the third early warning information.
Some embodiments of the present application determine whether to generate an operation instruction for the rock crusher and a type of the generated operation instruction by setting priorities of the warning information generated by the laser detection unit, the moving object detection unit, and the image recognition unit.
In some embodiments, the processing unit is configured to: and confirming and generating an instruction for controlling the stone crusher to stop working according to the position of the break-in object carried by the third early warning information.
According to some embodiments of the application, whether an operation instruction for instructing the stone crusher to stop working is generated or not is determined according to the position of the break-in object carried by the third early warning information, so that on one hand, the break-in object can be prevented from being damaged, and the production progress can be influenced by more shutdown times.
In a second aspect, some embodiments of the present application also provide a method of increasing safety of a working area of a rock crusher, the method comprising: when confirming that a laser correlation sensor arranged at an entrance of an operation area is shielded, generating first early warning information; when the fact that a moving object exists in a detection area radiated by the infrared pyroelectric sensor is confirmed, second early warning information is generated; confirming that an intrusion object exists in the operation area through image recognition, and sending third early warning information generated according to the intrusion object to an upper computer; and generating an operation instruction for controlling the stone crusher according to the first early warning information, the second early warning information and the third early warning information.
Some embodiments of the present application may ensure that a rock crusher that is performing a rock crushing operation does not cause injury to persons or vehicles or other intruding objects that enter a work area.
In some embodiments, the first warning information is used to carry category information of an intrusion object, wherein the category of the intrusion object includes a person or a vehicle.
Some embodiments of the application indicate whether the infrared pyroelectric sensor or the image recognition unit is started to work through the object category carried by the first early warning information, and specifically, if the object category carried by the first early warning information is a person, indicate the infrared pyroelectric sensor to start a data acquisition and processing process so as to confirm whether the intruded object is a person again; further, if the object category carried by the first warning information is a person, the image recognition unit can be further instructed to perform image recognition so as to confirm the number of persons and the position of the person.
In some embodiments, when the intrusion object carried by the first warning information is a person, the method further includes: and generating an instruction for triggering the infrared pyroelectric sensor to start and confirm whether the intrusion object is a human body.
Some embodiments of this application start infrared pyroelectric sensor and carry out human reconfirmation when first early warning information instruction break-in object is the people to promote the accuracy to breaking-in object class discernment, and then promote the accuracy of the operating instruction who generates.
In some embodiments, when the infrared pyroelectric sensor confirms that the intrusion object is a human, the method further comprises: and generating a recognition process for triggering a video information acquisition unit to start data acquisition and aiming at the number and the position of the break-in object.
Some embodiments of the application can adopt the image recognition unit to recognize the position and the number of the intruder again so as to generate a more reasonable and accurate instruction for stopping the operation of the stone crusher, thereby avoiding the risk of delaying the generation plan caused by the frequent stopping of the stone crusher.
In some embodiments, the generating an operation instruction for controlling a stone crusher according to the first warning information, the second warning information and the third warning information includes: and confirming the existence of the intrusion object according to the priority of the first early warning information, the second early warning information and the third early warning information.
Some embodiments of the application confirm that the generated instructions controlling the lithotripter are as accurate as possible by the priority of the early warning information to reduce the impact on the generation schedule.
In some embodiments, the third warning information carries position information of the intrusion object, and the generating the operation instruction for controlling the rock crusher according to the first warning information, the second warning information, and the third warning information after confirming that the intrusion object exists according to the priority of the first warning information, the second warning information, and the third warning information further includes: and confirming and generating an operation instruction for instructing the stone crusher to stop working according to the position information.
Some embodiments of the present application may also determine whether to generate an instruction to stop the operation of the rock crusher based on location information of the identified intruder.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a schematic view of a layout scene of a device for improving safety of a working area of a stone crusher according to an embodiment of the present application;
fig. 2 is a flowchart of a method for improving safety of a working area of a rock crusher according to an embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
In order to ensure the safety of people or vehicles and other objects intruding into a stone crusher working scene to the maximum extent, some embodiments of the present application provide an automatic operation safety device of a stone crusher with a multilayer redundancy mechanism. For example, in some embodiments of the application, an infrared pyroelectric sensor, a laser correlation sensor unit and an image recognition unit are used together to identify personnel and vehicle intrusion situations in a fixed stone crusher working area without dead angles and send out alarm signals. After receiving the alarm of personnel intrusion, an automatic control unit for controlling the stone crusher immediately brakes and stops all operations; when the automatic control unit receives the vehicle intrusion alarm, the automatic control unit immediately performs the action of returning to the initial position. Some embodiments of this application detect the security that improves among the crushing process through the entry, reduce the potential safety hazard.
Some embodiments of the present application provide an apparatus for improving safety of a working area of a rock crusher, the apparatus comprising: the laser detection unit is arranged at an entrance of a working area of the stone crusher and is configured to acquire detection data of the entrance, confirm that an intrusion object exists according to the detection data and generate first early warning information; the moving object detection unit is arranged above the laser detection unit and is configured to form a moving object detection area in a preset range and generate second early warning information when the intrusion object exists in the preset range; the image identification unit is arranged in the operation area and is configured to collect video data of the operation area, identify the intrusion object in the video data based on a deep learning network and generate third early warning information; a processing unit configured to generate an operation instruction for controlling the stone crusher according to the first warning information, the second warning information and the third warning information.
As an example, the laser detection unit of some embodiments of the present application includes at least one pair of laser correlation sensors, wherein the at least one pair of laser correlation sensors are arranged in pairs on both sides of the entrance in a horizontal direction.
The device for improving the safety of the working area of the rock crusher according to some embodiments of the present application is described in the following by way of example with reference to fig. 1.
Referring to fig. 1, fig. 1 is a top view of a work site for a rock crusher in a mine with apparatus for improving safety of a rock crusher work area deployed according to some embodiments of the present application. The mine 10 of fig. 1 includes a rock crusher work area 101, and an entrance 200 (within the dashed box in fig. 1) to the rock crusher work area 101.
As shown in fig. 1, the laser detection unit of some embodiments of the present application includes a plurality of pairs of laser correlation sensors (a pair of laser correlation sensors includes a laser transmitter 210 and a laser receiver 211), and the laser correlation sensors are arranged at a first side 201 and a second side 202 of an entrance 200 in a horizontal direction. As an example, a plurality of pairs of laser correlation sensors are arranged at equal intervals in the horizontal direction at both sides of the entrance 200. Some embodiments of the present application confirm whether there is an intrusion object intruding into a working area by whether laser of a laser correlation sensor is blocked. For example, some embodiments of the present application may deploy eight pairs of laser correlation sensors on both sides of the entrance 200 at equal intervals of 0.3m to form an intrusion detection area 2.4 meters long (i.e. the length of the side of the dashed-line frame parallel to the first side 201 at the entrance 200 in fig. 1 is 2.4 meters), when a person or a vehicle intrudes, the correlation laser is blocked, and the laser receiver 211 sends the first warning information to the processing unit in real time.
Some embodiments of this application adopt many pairs of laser correlation sensor level equidistant distribution can promote the detection precision to the object of rushing into at the entrance, can confirm the kind of object of rushing into according to the quantity that the laser that is sheltered from is right simultaneously, and then can produce the operating instruction to the differentiation of stone crusher. Specifically, in some embodiments of the present application, the at least one pair of laser correlation sensors includes a plurality of pairs, and the processing unit (for example, may correspond to the server 400 of fig. 1) is further configured to determine a kind of the intrusion object according to an occlusion feature of the plurality of pairs of laser correlation sensors by the intrusion object, and generate the operation instruction corresponding to the kind, wherein the occlusion feature includes a pair number of the occluded laser correlation sensors, and the kind includes a human body or a vehicle.
It should be noted that the distance between two pairs of laser correlation sensors arranged at equal intervals can be determined according to the average thickness of the human body, and then the characteristics of the intrusion object can be determined according to the logarithm of the laser sensors which are shielded at the same detection time. For example, if the thickness of the human body is close to 0.3m, laser correlation sensors may be arranged at intervals of 0.3m, and correspondingly, if only one pair of laser correlation sensors is shielded at the same detection time, the intrusion object may be preliminarily determined as a human, and if a plurality of pairs of laser correlation sensors are shielded at the same detection time, the intrusion object may be a vehicle with a thickness larger than that of the human body. Then, after an automatic control unit (not shown in the figure) for controlling the stone crusher to work receives an alarm of personnel intrusion, the automatic control unit immediately brakes and stops all the work of the stone crusher; when the automatic control unit receives the vehicle intrusion alarm, the automatic control unit immediately performs the action of returning to the initial position. The purpose of returning to the initial position is to reserve enough working space for the unloading vehicles entering the working area and prevent the accident of collision, and the initial position is an absolute safety position at the edge of the working area.
In order to further improve the detection accuracy of the intruding object, the laser correlation sensors of some embodiments of the present application include a plurality of pairs, and some of the pairs of laser correlation sensors are arranged in pairs on two sides of the entrance in the horizontal direction (e.g., on the first side 201 and the second side 202 of fig. 1), and each of the remaining pairs of laser correlation sensors are arranged in pairs on two sides of the entrance in the vertical direction (the vertically arranged laser correlation sensors are not shown because fig. 1 is a top view).
It should be noted that the height of the horizontal plane for laying the pairs of laser correlation sensors can be determined according to the height characteristics of the potential intrusion object. For example, since the height of a human body is generally larger than one meter, a plurality of pairs of laser correlation sensors can be arranged in the horizontal direction of one horizontal plane one meter away from the ground in a mine, and one or more pairs of laser correlation sensors can be arranged on a plurality of horizontal planes one meter higher than the ground in order to improve the detection accuracy of an intrusion object.
As shown in fig. 1, in some embodiments of the present application, the moving object detecting unit includes a sensor for detecting a human body, for example, includes two infrared pyroelectric sensors. Two pyroelectric infrared sensors 500 may be respectively disposed at two sides of the entrance 200 and above the pairs of laser correlation sensors. The infrared pyroelectric sensor 500 is configured to form a moving object detection area 301 of a predetermined range and generate second warning information upon confirming the presence of an intrusion object within the detection area 301. For example, the device for infrared sensing of an intruding object may include two pyroelectric infrared sensors installed 1.5 meters above the transmitting end and the receiving end of the first laser correlation sensor near the lithotripter device side, forming a moving person detection area 301 of 3 meters, and when a person enters the detection area 301, the pyroelectric infrared sensors will be activated and send second warning information to a control unit (e.g., the server 400 of fig. 1).
As shown in fig. 1, in some embodiments of the present application, the image recognition unit 100 includes: an image capture sensor (not shown) configured to capture video data of the work area in real time; an identification processor (not shown in the figure) configured to identify the intrusion object existing in the video data based on a deep learning network and generate the early warning information of the working area. It should be noted that in some embodiments, the image capturing sensor is disposed above the area covered by the working area 101 of fig. 1, and the recognition processor may be disposed in the server 400 of fig. 1. In other embodiments, the image recognition unit 100 disposed above the working area includes both an image capturing sensor for capturing video information and a recognition processor having a recognition processing function, and the image recognition unit 100 sends the generated third warning information to the server 400 to generate a control instruction for the rock crusher. The image recognition unit can adopt an industrial camera to collect video data of the operation area 101 in real time, adopts a deep learning area convolution Neural network (fast-RCNN) network to classify and recognize vehicles and personnel, and sends third early warning information to the control unit in real time when the recognition probability is larger than a set threshold value (90% -100%).
In order to further improve accurate detection of an intruder and save power consumption of an information processing device (e.g., an infrared pyroelectric sensor or an image acquisition sensor), in some embodiments of the present application, the laser correlation sensor is configured to generate a first instruction for triggering the infrared pyroelectric sensor to confirm whether the intruder is a person according to the first warning information; the image recognition unit is configured to receive a second instruction generated by the pyroelectric sensor and confirm the number of the intrusion objects and the positions of the intrusion objects in the working area according to the second instruction; the second instruction is generated when the pyroelectric sensor confirms that the intrusion object is a person, and the third early warning information carries the number and the position of the intrusion object. That is to say, in some embodiments of the present application, when it is confirmed that the intrusion object is a person according to the number that the laser correlation sensor is simultaneously shielded, the laser detection unit may generate a first instruction indicating that the infrared pyroelectric sensor reconfirms whether the intrusion object is a person, and when it is correspondingly confirmed that the intrusion object is a vehicle according to the number that the laser correlation sensor is simultaneously shielded, the laser detection unit may not generate the first instruction, the corresponding infrared pyroelectric sensor may not start a data acquisition task, and the infrared pyroelectric sensor may not generate a second instruction under this condition to enable the image recognition unit to perform a process of recognizing the intrusion object. According to some embodiments of the application, the confirmation of the intruder and the identification of the number and the position of the intruder are realized through the cooperation among the laser detection unit, the moving object detection unit and the image identification unit, so that whether the operation instruction for stopping the stone crushing operation of the stone crusher is confirmed or not can be generated more reasonably.
To reduce power consumption of the associated information acquisition device (e.g., an infrared pyroelectric sensor or an image acquisition sensor), in some embodiments of the present application, the laser detection unit is configured to acquire the portal 200 data in real time; the laser detection unit is further configured to generate information for triggering one of the moving object detection unit and the image recognition unit to enter a data acquisition state from a sleep state according to the first early warning information; or the moving object detection unit is configured to generate a trigger for triggering the image recognition to enter a video data acquisition state from a sleep state according to the second early warning information. That is, in some embodiments of the present application, the laser correlation sensor acquires data at the entrance 200 in real time and generates first warning information when it is determined that there is an intrusion object, the moving object detection unit (e.g., an infrared pyroelectric sensor) and the image recognition unit (e.g., an image acquisition device) may be in a sleep state before receiving an instruction to trigger a start operation, and the data acquisition and recognition process is started when the moving object detection unit and the image recognition unit receive a trigger signal generated based on the laser detection unit according to the first warning information. According to some embodiments of the application, the laser detection unit is used for triggering the mobile object detection unit and the image identification unit to further acquire data and identify the intrusion object when detecting that the intrusion object exists, so that the power consumption of the mobile object detection unit and the power consumption of the image identification unit can be effectively saved.
To reduce the number of unnecessary stop jobs for the rock crusher from affecting the production schedule, in some embodiments of the present application, the processing unit (e.g., server 400 of fig. 1) is configured to: confirming and generating an instruction for controlling the stone crusher to stop working according to the priority of the first early warning information generated by the laser detection unit, the second early warning information generated by the moving object detection unit and the third early warning information generated by the image recognition unit; the priority of the first early warning information is greater than that of the second early warning information and greater than that of the third early warning information. That is, in some embodiments of the present application, if the first warning information received by the server 400 is inconsistent with the second warning information (for example, the first warning information indicating that the intrusion object exists is received and the second warning information is not received, that is, the mobile object detection unit does not detect the intrusion object, or for example, the first warning information indicates that the intrusion object is a vehicle and the second warning information indicates that the intrusion object is a person), or the first warning information is inconsistent with the third warning information, the first warning information is used as an instruction for stopping the operation of the rock breaker. In other embodiments of the present application, the priority of the first warning information may also be adjusted according to a condition that the second warning information is consistent with the third warning information. For example, if the second warning information and the third warning information match each other (for example, it is determined that there is a person intruding into the working area), the server 400 generates and issues an instruction to stop the rock breaker operation according to the presence of the person intruding even when the first warning information indicates that there is no person intruding. Some embodiments of the present application determine whether to generate an operation instruction for the rock crusher and a type of the generated operation instruction by setting priorities of the warning information generated by the laser detection unit, the moving object detection unit, and the image recognition unit.
It should be noted that, in some embodiments of the present application, if it is determined that there is a human intrusion into the working area according to the first warning information, the second warning information, and the third warning information, the processing unit (for example, the server 400 in fig. 1) is further configured to: and confirming and generating an instruction for controlling the stone crusher to stop working according to the position of the intrusion object carried by the third early warning information generated by the image recognition unit. That is, whether to stop the rock crusher is determined according to the specific location of the intruder. This can be used to ensure completion rates of production targets at extreme times (e.g., when production pressures are high). According to some embodiments of the application, whether an operation instruction for instructing the stone crusher to stop working is generated or not is determined according to the position of the break-in object carried by the third early warning information, so that on one hand, the break-in object can be prevented from being damaged, and the production progress can be influenced by more shutdown times.
A method for improving the safety of a working area of a rock crusher provided by some embodiments of the present application is briefly illustrated in conjunction with fig. 2.
As shown in fig. 2, some embodiments of the present application also provide a method of increasing safety of a working area of a rock crusher, the method comprising: s101, generating first early warning information when a laser correlation sensor arranged at an entrance of a working area is confirmed to be shielded; s102, generating second early warning information when the fact that a moving object exists in a detection area radiated by the infrared pyroelectric sensor is confirmed; s103, confirming that an intrusion object exists in the operation area through image recognition, and sending third early warning information generated according to the intrusion object to an upper computer; and S104, generating an operation instruction for controlling the stone crusher according to the first early warning information, the second early warning information and the third early warning information. Some embodiments of the present application may ensure that a rock crusher that is performing a rock crushing operation does not cause injury to persons or vehicles or other intruding objects that enter a work area.
In some embodiments, the first warning information is used to carry category information of an intrusion object, wherein the category of the intrusion object includes a person or a vehicle. Some embodiments of the application indicate whether the infrared pyroelectric sensor or the image recognition unit is started to work through the object category carried by the first early warning information, and specifically, if the object category carried by the first early warning information is a person, indicate the infrared pyroelectric sensor to start a data acquisition and processing process so as to confirm whether the intruded object is a person again; further, if the object category carried by the first warning information is a person, the image recognition unit can be further instructed to perform image recognition so as to confirm the number of persons and the position of the person.
In some embodiments, when the intrusion object carried by the first warning information is a person, the method further includes: and generating an instruction for triggering the infrared pyroelectric sensor to start and confirm whether the intrusion object is a human body. Some embodiments of this application start infrared pyroelectric sensor and carry out human reconfirmation when first early warning information instruction break-in object is the people to promote the accuracy to breaking-in object class discernment, and then promote the accuracy of the operating instruction who generates.
In some embodiments, when the infrared pyroelectric sensor confirms that the intrusion object is a human, the method further comprises: and generating a recognition process for triggering a video information acquisition unit to start data acquisition and aiming at the number and the position of the break-in object. Some embodiments of the application can adopt the image recognition unit to recognize the position and the number of the intruder again so as to generate a more reasonable and accurate instruction for stopping the operation of the stone crusher, thereby avoiding the risk of delaying the generation plan caused by the frequent stopping of the stone crusher.
In some embodiments, the generating an operation instruction for controlling a stone crusher according to the first warning information, the second warning information and the third warning information includes: and confirming the existence of the intrusion object according to the priority of the first early warning information, the second early warning information and the third early warning information. Some embodiments of the application confirm that the generated instructions controlling the lithotripter are as accurate as possible by the priority of the early warning information to reduce the impact on the generation schedule.
In some embodiments, the third warning information carries position information of the intrusion object, and the generating the operation instruction for controlling the rock crusher according to the first warning information, the second warning information, and the third warning information after confirming that the intrusion object exists according to the priority of the first warning information, the second warning information, and the third warning information further includes: and confirming and generating an operation instruction for instructing the stone crusher to stop working according to the position information. Some embodiments of the present application may also determine whether to generate an instruction to stop the operation of the rock crusher based on location information of the identified intruder.
In order to avoid repeated description, the processing details of the method for improving the safety of the working area of the stone crusher according to the embodiment of the present application may refer to the related description of the device for improving the safety of the working area of the stone crusher, and are not described herein in detail.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including 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 method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, 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 phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Claims (17)
1. A device for improving safety of a working area of a rock crusher, characterized in that the device comprises:
the laser detection unit is arranged at an entrance of a working area of the stone crusher and is configured to acquire detection data of the entrance, confirm that an intrusion object exists according to the detection data and generate first early warning information;
a moving object detection unit arranged above the laser detection unit and configured to form a moving object detection area in a predetermined range and generate second warning information when the intrusion object is confirmed to exist in the detection area;
the image identification unit is arranged in the operation area and is configured to collect video data of the operation area, identify the intrusion object in the video data based on a deep learning network and generate third early warning information;
a processing unit configured to generate an operation instruction for controlling the stone crusher according to the first warning information, the second warning information and the third warning information.
2. The apparatus of claim 1, wherein the laser detection unit comprises at least one pair of laser correlation sensors, wherein the at least one pair of laser correlation sensors are arranged in pairs on both sides of the entrance in a horizontal direction.
3. The apparatus of claim 2, wherein the at least one pair of laser correlation sensors comprises a plurality of pairs, the plurality of pairs of laser correlation sensors being equally spaced apart in the horizontal direction on both sides of the entrance.
4. The apparatus of claim 2, wherein the at least one pair of laser correlation sensors comprises a plurality of pairs, some of the pairs of laser correlation sensors being arranged in pairs horizontally on both sides of the entrance, and each of the remaining pairs of laser correlation sensors being arranged in pairs vertically on both sides of the entrance.
5. The apparatus according to any one of claims 3-4, wherein the processing unit is further configured to determine a kind of the intruding object according to an occlusion feature of the pairs of laser correlation sensors by the intruding object, wherein the occlusion feature comprises a pair of the occluded laser correlation sensors, and generate the operation instruction corresponding to the kind, wherein the kind comprises a human body or a vehicle.
6. The apparatus of claim 3, wherein the moving object detecting unit comprises at least two pyroelectric infrared sensors, wherein the at least two pyroelectric infrared sensors are respectively disposed at both sides of the entrance and above the pairs of laser correlation sensors.
7. The apparatus of claim 6, wherein the image recognition unit comprises:
an image acquisition sensor configured to acquire video data of the work area in real time;
an identification processor configured to identify the intrusion object existing in the video data based on a deep learning network and generate the early warning information of the working area.
8. The apparatus of claim 7, wherein the laser correlation sensor is configured to generate a first instruction for triggering the pyroelectric sensor to confirm whether the intruding object is a person according to the first warning information;
the image recognition unit is configured to receive a second instruction generated by the pyroelectric sensor and confirm the number of the intrusion objects and the position of the intrusion objects in the working area according to the second instruction;
the second instruction is generated when the pyroelectric sensor confirms that the intrusion object is a person, and the third early warning information carries the number and the position of the intrusion object.
9. The apparatus of claim 1, wherein the laser detection unit is configured to collect the portal data in real-time;
the laser detection unit is further configured to generate information for triggering one of the moving object detection unit and the image recognition unit to enter a data acquisition state from a sleep state according to the first early warning information; or
The moving object detection unit is configured to generate a trigger for triggering the image recognition to enter a video data acquisition state from a sleep state according to the second early warning information.
10. The apparatus of claim 8, wherein the processing unit is configured to: confirming and generating an instruction for controlling the stone crusher to stop working according to the priority of the first early warning information, the second early warning information and the third early warning information; the priority of the first early warning information is greater than that of the second early warning information and greater than that of the third early warning information.
11. The apparatus of claim 8, wherein the processing unit is configured to: and confirming and generating an instruction for controlling the stone crusher to stop working according to the position of the break-in object carried by the third early warning information.
12. A method of improving safety of a working area of a rock crusher, the method comprising:
when confirming that a laser correlation sensor arranged at an entrance of an operation area is shielded, generating first early warning information;
when the fact that a moving object exists in a detection area radiated by the infrared pyroelectric sensor is confirmed, second early warning information is generated;
confirming that an intrusion object exists in the operation area through image recognition, and sending third early warning information generated according to the intrusion object to an upper computer;
and generating an operation instruction for controlling the stone crusher according to the first early warning information, the second early warning information and the third early warning information.
13. The method as claimed in claim 12, wherein the first warning information is used to carry category information of an intruding object, wherein the category of the intruding object comprises a person or a vehicle.
14. The method of claim 13, wherein when the intruding object carried by the first warning information is a person, the method further comprises: and generating an instruction for triggering the infrared pyroelectric sensor to start and confirm whether the intrusion object is a human body.
15. The method of claim 14, wherein when the infrared pyroelectric sensor confirms that the intruding object is a human, the method further comprises: and generating a recognition process for triggering a video information acquisition unit to start data acquisition and aiming at the number and the position of the break-in object.
16. The method of claim 12, wherein generating operational instructions for controlling a lithotripter based on the first warning information, the second warning information, and the third warning information comprises:
and confirming the existence of the intrusion object according to the priority of the first early warning information, the second early warning information and the third early warning information.
17. The method of claim 12, wherein the third warning information carries position information of the intruding object, and wherein the generating of the operation instruction for controlling the rock crusher according to the first warning information, the second warning information and the third warning information after confirming the existence of the intruding object according to the priority of the first warning information, the second warning information and the third warning information further comprises: and confirming and generating an operation instruction for instructing the stone crusher to stop working according to the position information.
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