CN111240234A - Action execution method based on data detection - Google Patents
Action execution method based on data detection Download PDFInfo
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- CN111240234A CN111240234A CN201910296265.3A CN201910296265A CN111240234A CN 111240234 A CN111240234 A CN 111240234A CN 201910296265 A CN201910296265 A CN 201910296265A CN 111240234 A CN111240234 A CN 111240234A
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- G05B19/00—Programme-control systems
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Abstract
The invention relates to a data detection-based action execution method, which comprises the step of providing a data detection-based action execution system for selecting a corresponding box type based on the detected area of a coal briquette so as to transmit the nearest box belonging to the box type to a coal briquette stacking site.
Description
Technical Field
The invention relates to the field of parameter detection, in particular to an action execution method based on data detection.
Background
In statistics, a parameter is used to describe a generalized numerical measure of the characteristics of a population, which is some characteristic value of the population that a researcher wants to know. The overall unknown index is called a parameter.
In mathematics, the idea of parameters is carried through in analytic geometry. For geometric variables, one expresses the variable by an algebraic expression comprising letters, called the parametric expression, where the letters are called the parameters. The geometric properties and algebraic relations of the graph are used to connect the integral form to solve the problem. Meanwhile, the 'parameter method' is a source of a lot of problem solving skills. For example, a parametric equation is called a parametric equation for a curve if, in a given rectangular plane coordinate system, the coordinates x and y of any point on the curve are a function x (f) (t) of some variable t, y (t), and for each allowable value of t, the point m (x, y) determined by the equation is on the curve, and the variable linking the relationship between x and y is called a parameter, or simply a parameter.
Coal briquette handling is the product of coal mining machines. Coal has become the main energy source for the 18 th century industrial leather, and steam trains, steam ships, etc. have begun to become the main transportation vehicles in industrial countries. At the same time, the steel industry also needs a large amount of coal mines. Gas is also used for urban lighting, heating, cooking and the like. The uk invented a number of techniques for underground coal mining at the end of the 18 th century, since this time coal mining entered the era of large-scale commercial mining. The coal digging machine was invented in about 1880 s; before that, mining required manually digging with a shovel or a jackhammer. By 1912, advancements in steam shovel technology have made surface mining possible.
Coal was the major industrial and transportation energy source in western countries in the 18 th century to 1950 s. On the other hand, oil recovery techniques have been greatly developed in the early 20 th century, and large-scale oil fields have been found in the united states, the middle east and indonesia. Petroleum has more advantages as a fuel than coal. Oil and its accessories began to become the primary fuel after the 1950 s, and the fast steam engines were replaced by internal combustion engines. By the end of the 20 th century, coal has been largely replaced by petroleum, natural gas, nuclear or renewable energy sources, and the like, in homes, industries, and transportation.
At present, because the coal cinder is piled up and is had the coal cinder granule of equidimension not in the scene, moreover, the coal cinder granule still can have new coal cinder granule propelling movement scene constantly after being packed the propelling movement away, leads to carrying out the box body of packing to the coal cinder and need artifically to select for the inefficiency that the coal cinder sent away can not keep up with the speed that the coal cinder sent.
Disclosure of Invention
The present invention needs to have at least the following important points:
(1) detecting the area of each coal briquette in a coal briquette stacking site to take the maximum area as a reference area, and selecting a corresponding box type based on the reference area to transmit the nearest box belonging to the box type to the coal briquette stacking site;
(2) on the basis of the analysis of the image content, it is determined whether or not to perform distortion correction processing on two customized color component values in the image, and the remaining color component values do not participate in the distortion correction processing, so as to improve the pertinence of the image processing.
According to an aspect of the present invention, there is provided a data detection-based action performing method, the method including providing a data detection-based action performing system for selecting a corresponding cartridge type based on a detected coal briquette area to transfer a nearest cartridge belonging to the cartridge type to a coal briquette stacking site, the data detection-based action performing system including:
the box body selection device is used for receiving a target area and selecting a corresponding box body type based on the size of the target area, and the volume of the selected box body type is matched with the size of the target area so as to be capable of containing the coal blocks with the size of the target area;
the conveying driving device is connected with the box body selecting device and is used for conveying the nearest box body belonging to the received box body type to a coal briquette stacking site from various box body types available for conveying based on the received box body type;
the frame rate extraction device is used for receiving a real-time snapshot image obtained by snapshot of a coal block stacking site, extracting the frame rate of an image sequence where the real-time snapshot image is located to obtain a corresponding current frame rate, and outputting the current frame rate;
the data analysis equipment is connected with the frame rate extraction equipment and is used for receiving the current frame rate, determining a frame rate level which is in direct proportion to the current frame rate and outputting the frame rate level;
the DSP processing chip is respectively connected with the data analysis equipment and the channel analysis equipment and is used for switching the channel analysis equipment from a power-saving state to an operating state when the received frame rate grade is greater than or equal to a preset grade threshold value;
the timing control device is respectively connected with the frame rate extraction device, the DSP processing chip and the data analysis device and is used for respectively providing reference clock signals for the frame rate extraction device, the DSP processing chip and the data analysis device;
the DSP processing chip is also used for switching the channel analysis equipment from an operating state to a power-saving state when the received frame rate level is smaller than the preset level threshold;
the channel analysis equipment is used for receiving the real-time snapshot image in a running state and performing conversion from a YUV space to an RGB color space on the real-time snapshot image so as to obtain an R component value, a G component value and a B component value of each pixel point in the real-time snapshot image;
and the targeted correction device is connected with the channel analysis device and is used for executing distortion correction processing on the R component value in the real-time snapshot image to obtain a first processed image and executing distortion correction processing on the G component value in the first processed image to obtain a second processed image.
The action execution system based on data detection is compact in design and convenient to operate. The area of each coal briquette in the coal briquette stacking site is detected so that the maximum area is used as a reference area, and the corresponding box type is selected based on the reference area so that the nearest box belonging to the box type is transmitted to the coal briquette stacking site, so that the automation level of coal briquette processing is improved.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic structural diagram illustrating a coal briquette pushing device in a coal briquette stacking site to which a data detection-based action execution system is applied, according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
In order to overcome the defects, the invention builds an action execution method based on data detection, and the method comprises the step of providing an action execution system based on data detection, wherein the action execution system is used for selecting a corresponding box type based on the detected area of the coal briquette so as to convey the nearest box belonging to the box type to a coal briquette stacking site. The action execution system based on data detection can effectively solve the corresponding technical problem.
Fig. 1 is a schematic structural diagram illustrating a coal briquette pushing device in a coal briquette stacking site to which a data detection-based action execution system is applied, according to an embodiment of the present invention.
An action execution system based on data detection according to an embodiment of the present invention includes:
the box body selection device is used for receiving a target area and selecting a corresponding box body type based on the size of the target area, and the volume of the selected box body type is matched with the size of the target area so as to be capable of containing the coal blocks with the size of the target area;
the conveying driving device is connected with the box body selecting device and is used for conveying the nearest box body belonging to the received box body type to a coal briquette stacking site from various box body types available for conveying based on the received box body type;
the frame rate extraction device is used for receiving a real-time snapshot image obtained by snapshot of a coal block stacking site, extracting the frame rate of an image sequence where the real-time snapshot image is located to obtain a corresponding current frame rate, and outputting the current frame rate;
the data analysis equipment is connected with the frame rate extraction equipment and is used for receiving the current frame rate, determining a frame rate level which is in direct proportion to the current frame rate and outputting the frame rate level;
the DSP processing chip is respectively connected with the data analysis equipment and the channel analysis equipment and is used for switching the channel analysis equipment from a power-saving state to an operating state when the received frame rate grade is greater than or equal to a preset grade threshold value;
the timing control device is respectively connected with the frame rate extraction device, the DSP processing chip and the data analysis device and is used for respectively providing reference clock signals for the frame rate extraction device, the DSP processing chip and the data analysis device;
the DSP processing chip is also used for switching the channel analysis equipment from an operating state to a power-saving state when the received frame rate level is smaller than the preset level threshold;
the channel analysis equipment is used for receiving the real-time snapshot image in a running state and performing conversion from a YUV space to an RGB color space on the real-time snapshot image so as to obtain an R component value, a G component value and a B component value of each pixel point in the real-time snapshot image;
the targeted correction device is connected with the channel analysis device and is used for carrying out distortion correction processing on the R component value in the real-time snapshot image so as to obtain a first processed image and carrying out distortion correction processing on the G component value in the first processed image so as to obtain a second processed image;
an edge enhancement device connected with the targeted correction device and used for carrying out image edge enhancement on the second processed image to obtain an edge enhanced image;
the size analysis device is respectively connected with the box body selection device and the edge enhancement device, and is used for identifying each coal block target in the edge enhancement image based on coal block imaging characteristics, and executing the following processing aiming at each coal block target: determining the imaging depth of field of the coal briquette target and the number of pixel points occupied by the coal briquette target to determine the actual area of the coal briquette target;
the size blocking equipment is further used for sending the maximum value of actual areas corresponding to the coal briquette targets to the box body selection equipment as a target area;
wherein, in the targeted correction apparatus, performing distortion correction processing on the R component value in the live-action captured image to obtain a first processed image includes: each R component value of each pixel point in the real-time snapshot image participates in distortion correction processing, and each G component value of each pixel point in the real-time snapshot image and each B component value of each pixel point in the real-time snapshot image do not participate in distortion correction processing;
wherein, in the targeted correction apparatus, performing distortion correction processing on the G component values in the first processed image to obtain a second processed image includes: and the R component values of all pixel points in the first processing image and the B component values of all pixel points in the first processing image do not participate in distortion correction processing.
Next, a specific configuration of the data detection-based action execution system of the present invention will be further described.
In the action execution system based on data detection:
in the targeted correction apparatus, performing distortion correction processing on the G component values in the first processed image to obtain a second processed image includes: and each G component value of each pixel point in the first processed image participates in distortion correction processing.
The action execution system based on data detection may further include:
and the real-time humidifying equipment is arranged near the edge enhancement equipment, is connected with the signal analysis equipment, and is used for receiving the internal humidity data of the edge enhancement equipment and executing the heating operation on the edge enhancement equipment when the internal humidity data of the edge enhancement equipment is less than or equal to the minimum humidity threshold value.
The action execution system based on data detection may further include:
the main humidity sensing device is arranged on the shell of the edge enhancement device and used for carrying out on-site detection operation on the humidity on the shell of the edge enhancement device so as to obtain first humidity data.
The action execution system based on data detection may further include:
and the first auxiliary sensing device is arranged on the shell of the size analysis device and used for carrying out on-site detection operation on the humidity on the shell of the size analysis device so as to obtain second humidity data.
The action execution system based on data detection may further include:
and the second auxiliary sensing equipment is arranged on the shell of the box body selection equipment and is used for carrying out field detection operation on the humidity on the shell of the box body selection equipment so as to obtain third humidity data.
The action execution system based on data detection may further include:
and the signal analysis equipment is respectively connected with the main humidity sensing equipment, the first auxiliary sensing equipment and the second auxiliary sensing equipment, is used for receiving the first humidity data, the second humidity data and the third humidity data, and executes weighting estimation operation on the first humidity data, the second humidity data and the third humidity data so as to obtain the internal humidity data of the edge enhancement equipment.
In the action execution system based on data detection:
in the signal analysis device, performing a weighted estimation operation on the first humidity data, the second humidity data, and the third humidity data to obtain internal humidity data of the edge enhancement device includes: multiplying the first humidity data and a first weight value to obtain a first product, multiplying the second humidity data and a second weight value to obtain a second product, multiplying the third humidity data and a third weight value to obtain a third product, and adding the first product, the second product, and the third product to obtain the inside humidity data.
In the action execution system based on data detection:
in the signal resolving device, the first weight value is greater than the second weight value and greater than the third weight value;
wherein, in the real-time humidification apparatus, the magnitude of the warming operation to the edge enhancement apparatus is proportional to the absolute value of the difference between the internal humidity data minus the minimum humidity threshold.
In addition, the DSP processing chip adopts a Harvard structure with separated programs and data, is provided with a special hardware multiplier, widely adopts pipeline operation, provides special DSP instructions and can be used for quickly realizing various digital signal processing algorithms.
According to the requirement of digital signal processing, a DSP processing chip generally has some main features as follows: (1) one multiply and one add may be done in one instruction cycle. (2) The program and data spaces are separate and instructions and data may be accessed simultaneously. (3) On-chip with fast RAM, it is usually accessible in two blocks simultaneously via separate data buses. (4) Hardware support with low or no overhead loops and jumps. (5) Fast interrupt handling and hardware I/O support. (6) There are multiple hardware address generators operating in a single cycle. (7) Multiple operations may be performed in parallel. (8) And pipeline operation is supported, so that the operations of fetching, decoding, executing and the like can be executed in an overlapping way.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature.
Although the present invention has been described with reference to the above embodiments, it should be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the spirit and scope of the invention. Therefore, the protection scope of the present invention should be subject to the scope defined by the claims of the present application.
Claims (9)
1. A data detection-based action performing method, the method including providing a data detection-based action performing system for selecting a corresponding box type based on a detected coal briquette area to transfer a nearest box belonging to the box type to a coal briquette stacking site, the data detection-based action performing system comprising:
the box body selection device is used for receiving a target area and selecting a corresponding box body type based on the size of the target area, and the volume of the selected box body type is matched with the size of the target area so as to be capable of containing the coal blocks with the size of the target area;
the conveying driving device is connected with the box body selecting device and is used for conveying the nearest box body belonging to the received box body type to a coal briquette stacking site from various box body types available for conveying based on the received box body type;
the frame rate extraction device is used for receiving a real-time snapshot image obtained by snapshot of a coal block stacking site, extracting the frame rate of an image sequence where the real-time snapshot image is located to obtain a corresponding current frame rate, and outputting the current frame rate;
the data analysis equipment is connected with the frame rate extraction equipment and is used for receiving the current frame rate, determining a frame rate level which is in direct proportion to the current frame rate and outputting the frame rate level;
the DSP processing chip is respectively connected with the data analysis equipment and the channel analysis equipment and is used for switching the channel analysis equipment from a power-saving state to an operating state when the received frame rate grade is greater than or equal to a preset grade threshold value;
the timing control device is respectively connected with the frame rate extraction device, the DSP processing chip and the data analysis device and is used for respectively providing reference clock signals for the frame rate extraction device, the DSP processing chip and the data analysis device;
the DSP processing chip is also used for switching the channel analysis equipment from an operating state to a power-saving state when the received frame rate level is smaller than the preset level threshold;
the channel analysis equipment is used for receiving the real-time snapshot image in a running state and performing conversion from a YUV space to an RGB color space on the real-time snapshot image so as to obtain an R component value, a G component value and a B component value of each pixel point in the real-time snapshot image;
the targeted correction device is connected with the channel analysis device and is used for carrying out distortion correction processing on the R component value in the real-time snapshot image so as to obtain a first processed image and carrying out distortion correction processing on the G component value in the first processed image so as to obtain a second processed image;
an edge enhancement device connected with the targeted correction device and used for carrying out image edge enhancement on the second processed image to obtain an edge enhanced image;
the size analysis device is respectively connected with the box body selection device and the edge enhancement device, and is used for identifying each coal block target in the edge enhancement image based on coal block imaging characteristics, and executing the following processing aiming at each coal block target: determining the imaging depth of field of the coal briquette target and the number of pixel points occupied by the coal briquette target to determine the actual area of the coal briquette target;
the size blocking equipment is further used for sending the maximum value of actual areas corresponding to the coal briquette targets to the box body selection equipment as a target area;
wherein, in the targeted correction apparatus, performing distortion correction processing on the R component value in the live-action captured image to obtain a first processed image includes: each R component value of each pixel point in the real-time snapshot image participates in distortion correction processing, and each G component value of each pixel point in the real-time snapshot image and each B component value of each pixel point in the real-time snapshot image do not participate in distortion correction processing;
wherein, in the targeted correction apparatus, performing distortion correction processing on the G component values in the first processed image to obtain a second processed image includes: and the R component values of all pixel points in the first processing image and the B component values of all pixel points in the first processing image do not participate in distortion correction processing.
2. The method of claim 1, wherein:
in the targeted correction apparatus, performing distortion correction processing on the G component values in the first processed image to obtain a second processed image includes: and each G component value of each pixel point in the first processed image participates in distortion correction processing.
3. The method of claim 2, wherein the system further comprises:
and the real-time humidifying equipment is arranged near the edge enhancement equipment, is connected with the signal analysis equipment, and is used for receiving the internal humidity data of the edge enhancement equipment and executing the heating operation on the edge enhancement equipment when the internal humidity data of the edge enhancement equipment is less than or equal to the minimum humidity threshold value.
4. The method of claim 3, wherein the system further comprises:
the main humidity sensing device is arranged on the shell of the edge enhancement device and used for carrying out on-site detection operation on the humidity on the shell of the edge enhancement device so as to obtain first humidity data.
5. The method of claim 4, wherein the system further comprises:
and the first auxiliary sensing device is arranged on the shell of the size analysis device and used for carrying out on-site detection operation on the humidity on the shell of the size analysis device so as to obtain second humidity data.
6. The method of claim 5, wherein the system further comprises:
and the second auxiliary sensing equipment is arranged on the shell of the box body selection equipment and is used for carrying out field detection operation on the humidity on the shell of the box body selection equipment so as to obtain third humidity data.
7. The method of claim 6, wherein the system further comprises:
and the signal analysis equipment is respectively connected with the main humidity sensing equipment, the first auxiliary sensing equipment and the second auxiliary sensing equipment, is used for receiving the first humidity data, the second humidity data and the third humidity data, and executes weighting estimation operation on the first humidity data, the second humidity data and the third humidity data so as to obtain the internal humidity data of the edge enhancement equipment.
8. The method of claim 7, wherein:
in the signal analysis device, performing a weighted estimation operation on the first humidity data, the second humidity data, and the third humidity data to obtain internal humidity data of the edge enhancement device includes: multiplying the first humidity data and a first weight value to obtain a first product, multiplying the second humidity data and a second weight value to obtain a second product, multiplying the third humidity data and a third weight value to obtain a third product, and adding the first product, the second product, and the third product to obtain the inside humidity data.
9. The method of claim 8, wherein:
in the signal resolving device, the first weight value is greater than the second weight value and greater than the third weight value;
wherein, in the real-time humidification apparatus, the magnitude of the warming operation to the edge enhancement apparatus is proportional to the absolute value of the difference between the internal humidity data minus the minimum humidity threshold.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111881745A (en) * | 2020-06-23 | 2020-11-03 | 无锡北斗星通信息科技有限公司 | Full load detection system based on big data storage |
| CN112910167A (en) * | 2020-11-02 | 2021-06-04 | 泰州程顺制冷设备有限公司 | Motor speed reduction system applying parameter analysis |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB2517293A (en) * | 2012-02-10 | 2015-02-18 | Deere & Co | System and method of material handling using one imaging device on the receiving vehicle to control the material distribution into the storage portion |
| US20160110677A1 (en) * | 2014-06-30 | 2016-04-21 | Utopia Global, Inc. | Systems and techniques for ensuring the integrity of enterprise asset management data |
| CN106875440A (en) * | 2017-02-22 | 2017-06-20 | 神华集团有限责任公司 | The computational methods and device of coal pile volume |
| CN107983662A (en) * | 2017-12-15 | 2018-05-04 | 杨宝祥 | A kind of mineral aggregate dry separation system and method |
| CN108416775A (en) * | 2018-03-12 | 2018-08-17 | 华中科技大学 | A kind of ore grain size detection method based on deep learning |
| CN108510539A (en) * | 2018-05-09 | 2018-09-07 | 中国矿业大学(北京) | A kind of coal production monitoring method based on image analysis |
| CN108534975A (en) * | 2018-03-14 | 2018-09-14 | 山东科技大学 | A kind of Sub-Level Caving bastard coal interface identification test system |
| CN108733095A (en) * | 2018-04-03 | 2018-11-02 | 河南大有能源股份有限公司 | Coal mine Transportation in assemBled state device intelligence governing system based on machine vision and method |
| CN109284780A (en) * | 2018-09-10 | 2019-01-29 | 中山大学 | Ore mineral image automatic identification and classification method |
-
2019
- 2019-04-13 CN CN201910296265.3A patent/CN111240234B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB2517293A (en) * | 2012-02-10 | 2015-02-18 | Deere & Co | System and method of material handling using one imaging device on the receiving vehicle to control the material distribution into the storage portion |
| US20160110677A1 (en) * | 2014-06-30 | 2016-04-21 | Utopia Global, Inc. | Systems and techniques for ensuring the integrity of enterprise asset management data |
| CN106875440A (en) * | 2017-02-22 | 2017-06-20 | 神华集团有限责任公司 | The computational methods and device of coal pile volume |
| CN107983662A (en) * | 2017-12-15 | 2018-05-04 | 杨宝祥 | A kind of mineral aggregate dry separation system and method |
| CN108416775A (en) * | 2018-03-12 | 2018-08-17 | 华中科技大学 | A kind of ore grain size detection method based on deep learning |
| CN108534975A (en) * | 2018-03-14 | 2018-09-14 | 山东科技大学 | A kind of Sub-Level Caving bastard coal interface identification test system |
| CN108733095A (en) * | 2018-04-03 | 2018-11-02 | 河南大有能源股份有限公司 | Coal mine Transportation in assemBled state device intelligence governing system based on machine vision and method |
| CN108510539A (en) * | 2018-05-09 | 2018-09-07 | 中国矿业大学(北京) | A kind of coal production monitoring method based on image analysis |
| CN109284780A (en) * | 2018-09-10 | 2019-01-29 | 中山大学 | Ore mineral image automatic identification and classification method |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111881745A (en) * | 2020-06-23 | 2020-11-03 | 无锡北斗星通信息科技有限公司 | Full load detection system based on big data storage |
| CN112910167A (en) * | 2020-11-02 | 2021-06-04 | 泰州程顺制冷设备有限公司 | Motor speed reduction system applying parameter analysis |
| CN112910167B (en) * | 2020-11-02 | 2021-11-23 | 上海淞宸动力科技有限公司 | Motor speed reduction system applying parameter analysis |
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