CN113634356A - Intelligent system and method for multifunctional grinding of rice and corn to prepare rice and flour - Google Patents
Intelligent system and method for multifunctional grinding of rice and corn to prepare rice and flour Download PDFInfo
- Publication number
- CN113634356A CN113634356A CN202110925264.8A CN202110925264A CN113634356A CN 113634356 A CN113634356 A CN 113634356A CN 202110925264 A CN202110925264 A CN 202110925264A CN 113634356 A CN113634356 A CN 113634356A
- Authority
- CN
- China
- Prior art keywords
- rice
- blocking instruction
- cpu
- module
- corn
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 235000007164 Oryza sativa Nutrition 0.000 title claims abstract description 92
- 235000009566 rice Nutrition 0.000 title claims abstract description 92
- 238000000227 grinding Methods 0.000 title claims abstract description 65
- 238000000034 method Methods 0.000 title claims abstract description 45
- 240000008042 Zea mays Species 0.000 title claims abstract description 44
- 235000005824 Zea mays ssp. parviglumis Nutrition 0.000 title claims abstract description 44
- 235000002017 Zea mays subsp mays Nutrition 0.000 title claims abstract description 44
- 235000005822 corn Nutrition 0.000 title claims abstract description 44
- 235000013312 flour Nutrition 0.000 title claims abstract description 41
- 240000007594 Oryza sativa Species 0.000 title 2
- 230000000903 blocking effect Effects 0.000 claims abstract description 136
- 241000209094 Oryza Species 0.000 claims abstract description 90
- 230000003993 interaction Effects 0.000 claims abstract description 46
- 230000002159 abnormal effect Effects 0.000 claims abstract description 40
- 238000012544 monitoring process Methods 0.000 claims abstract description 36
- 230000008859 change Effects 0.000 claims abstract description 10
- 230000033001 locomotion Effects 0.000 claims description 30
- 238000007689 inspection Methods 0.000 claims description 23
- 238000012545 processing Methods 0.000 claims description 19
- 238000012216 screening Methods 0.000 claims description 18
- 238000004458 analytical method Methods 0.000 claims description 15
- 230000006399 behavior Effects 0.000 claims description 15
- 235000013339 cereals Nutrition 0.000 claims description 8
- 238000004590 computer program Methods 0.000 claims description 6
- 238000007405 data analysis Methods 0.000 claims description 6
- 239000013598 vector Substances 0.000 claims description 6
- 238000005516 engineering process Methods 0.000 claims description 5
- 230000007246 mechanism Effects 0.000 claims description 5
- 238000003801 milling Methods 0.000 claims description 4
- 235000012149 noodles Nutrition 0.000 claims description 4
- 238000001914 filtration Methods 0.000 claims description 3
- 238000013507 mapping Methods 0.000 claims description 3
- 239000000203 mixture Substances 0.000 claims description 3
- 230000011218 segmentation Effects 0.000 claims description 3
- 238000007873 sieving Methods 0.000 claims description 3
- 230000002194 synthesizing effect Effects 0.000 claims description 3
- 239000008187 granular material Substances 0.000 claims description 2
- 238000004519 manufacturing process Methods 0.000 claims 1
- 230000008569 process Effects 0.000 abstract description 6
- 239000000047 product Substances 0.000 description 15
- 238000010586 diagram Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 235000013305 food Nutrition 0.000 description 3
- 238000003491 array Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000018109 developmental process Effects 0.000 description 2
- 235000015097 nutrients Nutrition 0.000 description 2
- 238000002360 preparation method Methods 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 241000209140 Triticum Species 0.000 description 1
- 235000021307 Triticum Nutrition 0.000 description 1
- 238000009360 aquaculture Methods 0.000 description 1
- 244000144974 aquaculture Species 0.000 description 1
- 238000013475 authorization Methods 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000024346 drought recovery Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 239000012467 final product Substances 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000000050 nutritive effect Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000002245 particle Substances 0.000 description 1
- 230000008092 positive effect Effects 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B02—CRUSHING, PULVERISING, OR DISINTEGRATING; PREPARATORY TREATMENT OF GRAIN FOR MILLING
- B02C—CRUSHING, PULVERISING, OR DISINTEGRATING IN GENERAL; MILLING GRAIN
- B02C25/00—Control arrangements specially adapted for crushing or disintegrating
Landscapes
- Engineering & Computer Science (AREA)
- Food Science & Technology (AREA)
- Adjustment And Processing Of Grains (AREA)
Abstract
The invention belongs to the technical field of rice and flour intelligent systems, and discloses a multifunctional rice and corn grinding and rice and flour making intelligent system and a method, wherein instructions of a receiving system are used for carrying out operation control on a device, and a server is used for receiving control signals sent by a man-machine interaction module, analyzing and analyzing corresponding operations; converting the operation into a corresponding electric signal, transmitting the electric signal to an electric chip of the device, and controlling the device by the electric chip to perform corresponding operation; in the process of operating and controlling the device, the monitoring CPU of the device monitoring module monitors the state of the device in real time, once the state of the device changes, the monitoring CPU is stimulated to generate an electric signal, if the electric signal is analyzed to be abnormal change through the CPU, the blocker is called immediately to block the power supply of the device, loss is prevented, and meanwhile, the blocking commander is called to send a blocking command to remind a worker. The invention ensures the automation in the grinding process, realizes manual remote control and greatly improves the yield and the efficiency of products.
Description
Technical Field
The invention belongs to the technical field of intelligent rice and flour system, and particularly relates to an intelligent rice and flour grinding system and method with rice and corn grinding functions.
Background
At present, Rice (Rice), also called Rice, is a food made of Rice through the processes of cleaning, hulling, milling and finishing. The rice contains nearly 64 percent of nutrient substances in the rice and more than 90 percent of nutrient elements required by human bodies, and is a main food for people in most areas of China. Compared with traditional grain crops such as rice, wheat and the like, the corn has strong drought tolerance, cold tolerance, barren tolerance and excellent environmental adaptability. The corn has higher nutritive value and is an excellent grain crop. As a high-yield grain crop in china, corn is an important feed source in animal husbandry, aquaculture, and the like, and is one of indispensable raw materials for food, medical care, light industry, chemical industry, and the like. At present, no intelligent system and method for rice and corn multifunctional grinding rice and flour are available, industrial automation is popularized nationwide, automation can help devices to play better performance and achieve better industrial effect, and grains are essential in life of people, so that the intelligent system and method for rice and corn multifunctional grinding rice and flour have great significance.
Through the above analysis, the problems and defects of the prior art are as follows:
the invention provides an intelligent system and method for multifunctional grinding rice and flour of rice and corn, the operation method is clear, a clear system control method is set, the automation in the grinding process is ensured, the manual remote control is realized, the yield and the efficiency of products are greatly improved, the secondary screening is carried out by using a screening machine with a swinging device, the grinding quality is ensured, and the development of the industrial technology is facilitated.
At present, no intelligent system and method for multifunctional rice and corn grinding and rice and flour making are available, industrial automation is popularized nationwide, automation can help devices to play better performance and achieve better industrial effect, and grain grinding is an essential product in life of people, so that the intelligent system and method for multifunctional rice and corn grinding and rice and flour making are of great significance.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides an intelligent system and method for preparing rice and flour by multifunctional grinding of rice and corn.
The invention is realized in this way, an intelligent method for making rice and flour by multifunctional grinding of rice and corn, after the device is connected with a system, the state of a connecting line is displayed in a man-machine interaction module; the human-computer interaction module converts the state of the device into a digital signal, and the digital signal is analyzed and displayed on a display screen; the staff can input instructions on the display interface, the submitted data instruction form is uploaded to the server through the central processing unit CPU through the Internet, and then the data instruction form is transmitted to the device control module through the server for controlling the behavior of the device;
the device control module receives instructions of the system to carry out operation control on the device, and the server receives control signals sent by the man-machine interaction module, analyzes and analyzes corresponding operations; converting the operation into a corresponding electric signal, transmitting the electric signal to an electric chip of the device, and controlling the device by the electric chip to perform corresponding operation;
in the operation control of the device, a monitoring CPU of a device monitoring module monitors the state of the device in real time, once the state of the device changes, the monitoring CPU is stimulated to generate an electric signal, if the electric signal is analyzed to be abnormal change by the CPU, a blocker is called immediately to block a power supply of the device to prevent loss, and meanwhile, a blocking instruction device is called to send a blocking instruction to remind a worker;
if the CPU analyzes that the change is abnormal, immediately calling a blocker to block the power supply of the device comprises the following steps:
the blocker responds to the blocking instruction, when the CPU receiving the blocking instruction receives the blocking instruction information, the blocking instruction information is processed by the Webservice data analysis server, the Webservice data analysis server feeds back the video information acquisition mode of the CPU blocking instruction place, and the CPU acquires the video information of the blocking instruction place through the acquisition mode;
the blocker responding to the blocking instruction comprises:
1) when a blocking instruction button is manually pressed in a blocking instruction mode, a blocking instruction terminal generates a blocking instruction request, the blocking instruction request is transmitted to an Asterisk server of a message center, and the blocking instruction request is transmitted to a corresponding voice terminal for receiving the blocking instruction through a voice mapping mechanism of the Asterisk; meanwhile, the blocking instruction server can monitor the voice call interface of the Asterisk all the time, when an alarm occurs, the blocking instruction server monitors a blocking instruction request of a blocking instruction place, the blocking instruction server transmits the blocking instruction request to the CPU, and the CPU calls video information of the blocking instruction place according to the blocking instruction request and puts the video on a video wall; the remote command of the control center to the blocking instruction point is realized;
2) when the abnormal information is captured by the abnormal analysis server, storing the image frame of a time point, and simultaneously sending a blocking instruction request, wherein the blocking instruction request firstly reaches an abnormal information server of a message center, the abnormal information server transmits the blocking instruction request to a corresponding CPU (central processing unit) for receiving a blocking instruction according to the corresponding relation between the source of the video and the area under the control of the receiving blocking instruction, and after receiving the blocking instruction request of the abnormal information server, the CPU responds to the blocking instruction request and puts the abnormal frame image on the CPU for receiving the blocking instruction; when the delivered abnormal frame image belongs to the normal condition, ending the blocking instruction through the CPU; when the abnormal frame image belongs to abnormal conditions, further responding to the blocking instruction through the CPU; the CPU calls the video information of the blocking instruction according to the blocking instruction request and displays the video information of the blocking instruction on the CPU.
Further, the server receives and analyzes the control signal sent by the man-machine interaction module, and the method comprises the following steps:
detecting a motion device: separating a moving target from a background in a monitoring video by using a Gaussian mixture model, obtaining a specific area of the moving target by adopting self-adaptive threshold segmentation, and continuously updating the background in real time;
tracking by a moving device: tracking the motion device by using a Kalman filtering method, extracting the mass center of the device target through the motion speed of a time device used by a calculating device through a fixed distance, and synthesizing the motion track of the device target to obtain the motion vector of the device target in a continuous multi-frame image sequence: including the position, direction and speed of movement of the device target;
and (3) semantic analysis of device behaviors: comparing the motion trail of the device target with a device behavior motion trail designed in advance, and analyzing to obtain which device behavior the motion trail of the device target belongs to by combining three motion vectors of the device target; including normal operation, shutdown, and inconsistent speed of the device.
Further, after the electric chip control device carries out corresponding operation, the grinding inspection module is used for grinding, secondary inspection is carried out on ground rice and flour, and after a product which is ground by the grinding machine for the first time is obtained, the product is sieved.
Another object of the present invention is to provide an intelligent system for making rice and corn flour by multi-functional grinding, comprising:
the device connecting module is connected with the central control module and is used for connecting the device and the system, and after the device and the system are connected, the state of a connecting line can be displayed on the human-computer interaction module for a worker to check;
the device monitoring module is connected with the central control module and comprises a monitoring CPU, a blocking instruction device and a blocking device, the monitoring CPU monitors the state of the device in real time, once the state of the device changes, the monitoring CPU is stimulated to generate an electric signal, if the electric signal is analyzed to be abnormal change by the CPU, the blocking device is called immediately to block the power supply of the device, loss is prevented, and meanwhile, the blocking instruction device is called to send a blocking instruction to remind a worker;
the device control module is connected with the central control module and used for receiving instructions of the system to operate and control the device, the server receives control signals sent by the man-machine interaction module, analyzes and analyzes corresponding operations, converts the operations into corresponding electric signals and transmits the electric signals to an electric chip of the device, and the electric chip control device performs corresponding operations;
and the central processing module is used for controlling each module to work normally, and the main controller collects external signals (data and requests transmitted by each module) and outputs the external signals to the output channel after analysis and processing. When the external needs analog quantity output, the system is converted into a standard electric signal through a D/A converter to be output;
and the human-computer interaction module is connected with the central control module and converts the state of the device into a digital signal to be analyzed and displayed on a display screen. The staff can input instructions on the display interface, the submitted data instruction form is uploaded to the server through the central processing unit CPU through the Internet, and then the data instruction form is transmitted to the device control module through the server for controlling the behavior of the device;
grind the inspection module, the device grinds the back, will carry out the secondary inspection to the rice face that grinds, after obtaining the product that the machine of grinding once ground, grind the inspection module and sieve the product, the sieving mechanism has wobbling sieve separator, and the wobbling screening can carry out fine screening to the product of big granule.
Furthermore, a display connector of the human-computer interaction module is a DVI interface.
Further, the human-computer interaction module submits the form and uses HTML5 technology, and partial refreshing of the page is carried out by Ajax.
Furthermore, after the connecting line in the device connecting module is installed, the connecting line can be displayed in the human-computer interaction module in a green line, and when the connecting line fails, the state of the connecting line is red;
the grinding inspection module can be controlled by two methods, namely, the speed and the frequency are controlled by a knob on the device, and the parameters of the device are controlled by a human-computer interaction module.
Another object of the invention is to provide a method of operation comprising the steps of:
s1: firstly, connecting a connecting line between a device and a system, checking the state of the connecting line on a human-computer interaction module, and carrying out the next step if the connecting line is green;
s2: setting parameters of a swinging device of the grinding inspection module for the device through a human-computer interaction module;
s3: adding grains such as rice and corn;
s4: starting the device through a man-machine interaction module;
s5: and (4) screening the rice and flour which are ground once for the second time, and then putting the rice and flour into the grinding machine again.
Another object of the present invention is to provide an information data processing terminal comprising a memory and a processor, the memory storing a computer program, the computer program, when executed by the processor, causing the processor to execute the intelligent method for rice and corn multifunctional grinding rice and flour preparation.
Another object of the present invention is to provide a computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to execute the intelligent method for rice and corn multi-functional grinding rice noodle preparation.
By combining all the technical schemes, the invention has the advantages and positive effects that: the invention provides an intelligent system and method for multifunctional grinding rice and flour of rice and corn, the operation method is clear, a clear system control method is set, the automation in the grinding process is ensured, the manual remote control is realized, the yield and the efficiency of products are greatly improved, the secondary screening is carried out by using a screening machine with a swinging device, the grinding quality is ensured, and the development of the industrial technology is facilitated.
The invention adopts distributed cloud deployment, ensures the safety, improves the expansibility of the system, and can integrate monitoring resources by taking the region as a unit. The message center module and the anomaly analysis server adopt a distributed cloud deployment mode, and correspond to different monitoring resource ranges in authority and different authority levels; the higher the authority level of the user is, the wider the range of the available monitoring resources is, the usable monitoring resource ranges with the same authority level are not overlapped, if other monitoring resources need to be obtained, the authorization of the user at the previous level needs to be obtained, so that the safety of the system is greatly improved; for the abnormal analysis service, not only the distributed deployment according to the area is realized, but also the cooperative analysis among different areas is realized, the analysis of half-month video data of hundreds of cameras within a few hours can be realized, and the abnormal analysis capability of the system is improved. The system can keep the smoothness of the blocking instruction link in real time through the Asterisk server and the heartbeat packet, and meets the real-time requirement of the system.
Drawings
FIG. 1 is a schematic structural diagram of an intelligent system for preparing rice and corn flour by multi-functional grinding according to an embodiment of the present invention;
in the figure: 1. a device connection module; 2. a device monitoring module; 3. a device control module; 4. a central processing module; 5. a human-computer interaction module; 6. and a grinding inspection module.
Fig. 2 is an intelligent flow chart of rice and corn multifunctional grinding rice and flour making provided by the embodiment of the invention.
FIG. 3 is a flow chart of an operation method of the intelligent rice and corn flour milling system according to the embodiment of the invention;
FIG. 4 is a schematic diagram of a device monitoring module according to an embodiment of the present invention;
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Aiming at the problems in the prior art, the invention provides an intelligent system and an intelligent method for preparing rice and flour by multifunctional grinding of rice and corn, and the invention is described in detail below by combining the attached drawings.
The device starting step provided by the present invention can be implemented by other steps, and the structure diagram of the intelligent system for making rice and corn multifunctional grinding rice noodles provided by the present invention in fig. 1 is only a specific embodiment.
As shown in fig. 1, the intelligent rice and corn multifunctional grinding and rice and flour making system comprises:
the device connecting module 1 is connected with the central control module and is used for connecting the device and the system, and after the device and the system are connected, the state of a connecting line can be displayed in the man-machine interaction module for a worker to check;
the device monitoring module 2 is connected with the central control module and comprises a monitoring CPU, a blocking instruction device and a blocking device, the monitoring CPU monitors the state of the device in real time, once the state of the device changes, the monitoring CPU is stimulated to generate an electric signal, if the electric signal is analyzed to be abnormal change by the CPU, the blocking device is called immediately to block the power supply of the device, loss is prevented, and meanwhile, the blocking instruction device is called to send a blocking instruction to remind a worker;
the device control module 3 is connected with the central control module and used for receiving instructions of the system to operate and control the device, the server receives control signals sent by the man-machine interaction module, analyzes and analyzes corresponding operations, converts the operations into corresponding electric signals and transmits the electric signals to an electric chip of the device, and the electric chip control device performs corresponding operations;
and the central processing module 4 is used for controlling each module to work normally, and the main controller collects external signals (data and requests transmitted by each module) and outputs the external signals to the output channel after analysis and processing. When the external needs analog quantity output, the system is converted into a standard electric signal through a D/A converter to be output;
and the human-computer interaction module 5 is connected with the central control module, and converts the state of the device into a digital signal to be analyzed and displayed on a display screen. The staff can input instructions on the display interface, the submitted data instruction form is uploaded to the server through the central processing unit CPU through the Internet, and then the data instruction form is transmitted to the device control module through the server for controlling the behavior of the device;
the grinding inspection module 6 is used for carrying out secondary inspection on ground rice after the device grinds the ground rice, and after a product ground by the grinding machine for the first time is obtained, the grinding inspection module screens the product, the screening device is a screening machine with swing, and the swing screening can be used for well screening large-particle products;
in an embodiment of the present invention, the display interface of the human-computer interaction module is a DVI interface.
In an embodiment of the invention, the human-computer interaction module submits the form by using an HTML5 technology, and partial refreshing of the page is performed by Ajax.
In an embodiment of the invention, after the connecting line in the device connecting module is installed, the connecting line is displayed in the human-computer interaction module by a green line, and when the connecting line fails, the state of the connecting line is red.
In an embodiment of the invention, the grinding inspection module can be controlled by two methods, namely, the speed and the frequency are controlled by a knob on the device, and parameters of the device are controlled by a human-computer interaction module.
As shown in fig. 2, the invention provides an intelligent method for preparing rice and corn multifunctional grinding rice flour, which comprises the following steps:
s101, after the device is connected with a system, the state of a connecting line is displayed on a human-computer interaction module; the human-computer interaction module converts the state of the device into a digital signal, and the digital signal is analyzed and displayed on a display screen; the staff can input instructions on the display interface, the submitted data instruction form is uploaded to the server through the central processing unit CPU through the Internet, and then the data instruction form is transmitted to the device control module through the server for controlling the behavior of the device;
s102, the device control module receives instructions of a system to carry out operation control on the device, and the server receives control signals sent by the man-machine interaction module, analyzes the control signals and analyzes corresponding operations; converting the operation into a corresponding electric signal, transmitting the electric signal to an electric chip of the device, and controlling the device by the electric chip to perform corresponding operation;
s103, in the process of operating and controlling the device, a monitoring CPU of a device monitoring module monitors the state of the device in real time, once the state of the device changes, the monitoring CPU is stimulated to generate an electric signal, if the electric signal is analyzed to be abnormal change by the CPU, a blocker is called immediately to block a power supply of the device to prevent loss, and meanwhile, a blocking commander is called to send a blocking command to remind a worker;
and S104, after the electric chip control device performs corresponding operation, grinding by using the grinding inspection module, performing secondary inspection on the ground rice and flour, and sieving the product after the product which is ground by the grinding machine for the first time is obtained.
In step S102, the server receives and analyzes the control signal sent by the human-computer interaction module, and the analyzing includes:
detecting a motion device: separating a moving target from a background in a monitoring video by using a Gaussian mixture model, obtaining a specific area of the moving target by adopting self-adaptive threshold segmentation, and continuously updating the background in real time;
tracking by a moving device: tracking the motion device by using a Kalman filtering method, extracting the mass center of the device target through the motion speed of a time device used by a calculating device through a fixed distance, and synthesizing the motion track of the device target to obtain the motion vector of the device target in a continuous multi-frame image sequence: including the position, direction and speed of movement of the device target;
and (3) semantic analysis of device behaviors: comparing the motion trail of the device target with a device behavior motion trail designed in advance, and analyzing to obtain which device behavior the motion trail of the device target belongs to by combining three motion vectors of the device target; including normal operation, shutdown, and inconsistent speed of the device.
In step S103, if the CPU analyzes that the change is abnormal, immediately invoking a blocker to block the device power supply includes:
the blocker responds to the blocking instruction, when the CPU receiving the blocking instruction receives the blocking instruction information, the blocking instruction information is processed by the Webservice data analysis server, the Webservice data analysis server feeds back the video information acquisition mode of the CPU blocking instruction place, and the CPU acquires the video information of the blocking instruction place through the acquisition mode;
the blocker responding to the blocking instruction comprises:
1) when a blocking instruction button is manually pressed in a blocking instruction mode, a blocking instruction terminal generates a blocking instruction request, the blocking instruction request is transmitted to an Asterisk server of a message center, and the blocking instruction request is transmitted to a corresponding voice terminal for receiving the blocking instruction through a voice mapping mechanism of the Asterisk; meanwhile, the blocking instruction server can monitor the voice call interface of the Asterisk all the time, when an alarm occurs, the blocking instruction server monitors a blocking instruction request of a blocking instruction place, the blocking instruction server transmits the blocking instruction request to the CPU, and the CPU calls video information of the blocking instruction place according to the blocking instruction request and puts the video on a video wall; the remote command of the control center to the blocking instruction point is realized;
2) when the abnormal information is captured by the abnormal analysis server, storing the image frame of a time point, and simultaneously sending a blocking instruction request, wherein the blocking instruction request firstly reaches an abnormal information server of a message center, the abnormal information server transmits the blocking instruction request to a corresponding CPU (central processing unit) for receiving a blocking instruction according to the corresponding relation between the source of the video and the area under the control of the receiving blocking instruction, and after receiving the blocking instruction request of the abnormal information server, the CPU responds to the blocking instruction request and puts the abnormal frame image on the CPU for receiving the blocking instruction; when the delivered abnormal frame image belongs to the normal condition, ending the blocking instruction through the CPU; when the abnormal frame image belongs to abnormal conditions, further responding to the blocking instruction through the CPU; the CPU calls the video information of the blocking instruction according to the blocking instruction request and displays the video information of the blocking instruction on the CPU.
As shown in fig. 3, the operation method of the intelligent rice and corn flour grinding and making system comprises the following steps:
s1: firstly, connecting a connecting line between a device and a system, checking the state of the connecting line on a human-computer interaction module, and carrying out the next step if the connecting line is green;
s2: setting parameters of a swinging device of the grinding inspection module for the device through a human-computer interaction module;
s3: adding grains such as rice and corn;
s4: starting the device through a man-machine interaction module;
s5: and (4) screening the rice and flour which are ground once for the second time, and then putting the rice and flour into the grinding machine again.
As shown in fig. 4, for the internal structure of the device monitoring module 2, the server is located in the center of the module and is used for receiving signals and controlling the blocking commander and the blocker, and the blocking commander is connected with the blocker and started at the same time to ensure the time efficiency.
The technical solution of the present invention will be further described with reference to the effects.
The invention adjusts the parameters of the screening machine of the device through the manual interaction module, the parameters comprise the swinging frequency of the screening machine and the swinging speed of the screening machine, the device is started, the state of the device is monitored in real time through the device monitoring module, once abnormal conditions occur, the blocking instruction device and the blocking device are immediately started by the server, the control is continued through the manual interaction module after manual adjustment, the ground rice surface is subjected to secondary inspection after the primary grinding, and after a product ground by the grinding machine is obtained, the grinding inspection module screens the product, thereby ensuring the quality of the final product.
In the description of the present invention, "a plurality" means two or more unless otherwise specified; the terms "upper", "lower", "left", "right", "inner", "outer", "front", "rear", "head", "tail", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, should not be construed as limiting the invention. Furthermore, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
It should be noted that the embodiments of the present invention can be realized by hardware, software, or a combination of software and hardware. The hardware portion may be implemented using dedicated logic; the software portions may be stored in a memory and executed by a suitable instruction execution system, such as a microprocessor or specially designed hardware. Those skilled in the art will appreciate that the apparatus and methods described above may be implemented using computer executable instructions and/or embodied in processor control code, such code being provided on a carrier medium such as a disk, CD-or DVD-ROM, programmable memory such as read only memory (firmware), or a data carrier such as an optical or electronic signal carrier, for example. The apparatus and its modules of the present invention may be implemented by hardware circuits such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., or by software executed by various types of processors, or by a combination of hardware circuits and software, e.g., firmware.
The above description is only for the purpose of illustrating the present invention and the appended claims are not to be construed as limiting the scope of the invention, which is intended to cover all modifications, equivalents and improvements that are within the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. An intelligent method for making rice and flour by multifunctional grinding of rice and corn is characterized in that after a device is connected with a system, the state of a connecting line is displayed on a human-computer interaction module; the human-computer interaction module converts the state of the device into a digital signal, and the digital signal is analyzed and displayed on a display screen; the staff can input instructions on the display interface, the submitted data instruction form is uploaded to the server through the central processing unit CPU through the Internet, and then the data instruction form is transmitted to the device control module through the server for controlling the behavior of the device; the device control module receives instructions of a system to carry out operation control on the device, and the server receives control signals sent by the man-machine interaction module, analyzes the control signals and analyzes corresponding operations; converting the operation into a corresponding electric signal, transmitting the electric signal to an electric chip of the device, and controlling the device by the electric chip to perform corresponding operation;
in the operation control of the device, a monitoring CPU of a device monitoring module monitors the state of the device in real time, once the state of the device changes, the monitoring CPU is stimulated to generate an electric signal, if the electric signal is analyzed to be abnormal change by the CPU, a blocker is called immediately to block a power supply of the device to prevent loss, and meanwhile, a blocking instruction device is called to send a blocking instruction to remind a worker;
if the CPU analyzes that the change is abnormal, immediately calling a blocker to block the power supply of the device comprises the following steps:
the blocker responds to the blocking instruction, when the CPU receiving the blocking instruction receives the blocking instruction information, the blocking instruction information is processed by the Webservice data analysis server, the Webservice data analysis server feeds back the video information acquisition mode of the CPU blocking instruction place, and the CPU acquires the video information of the blocking instruction place through the acquisition mode;
the blocker responding to the blocking instruction comprises:
1) when a blocking instruction button is manually pressed in a blocking instruction mode, a blocking instruction terminal generates a blocking instruction request, the blocking instruction request is transmitted to an Asterisk server of a message center, and the blocking instruction request is transmitted to a corresponding voice terminal for receiving the blocking instruction through a voice mapping mechanism of the Asterisk; meanwhile, the blocking instruction server can monitor the voice call interface of the Asterisk all the time, when an alarm occurs, the blocking instruction server monitors a blocking instruction request of a blocking instruction place, the blocking instruction server transmits the blocking instruction request to the CPU, and the CPU calls video information of the blocking instruction place according to the blocking instruction request and puts the video on a video wall; the remote command of the control center to the blocking instruction point is realized;
2) when the abnormal information is captured by the abnormal analysis server, storing the image frame of a time point, and simultaneously sending a blocking instruction request, wherein the blocking instruction request firstly reaches an abnormal information server of a message center, the abnormal information server transmits the blocking instruction request to a corresponding CPU (central processing unit) for receiving a blocking instruction according to the corresponding relation between the source of the video and the area under the control of the receiving blocking instruction, and after receiving the blocking instruction request of the abnormal information server, the CPU responds to the blocking instruction request and puts the abnormal frame image on the CPU for receiving the blocking instruction; when the delivered abnormal frame image belongs to the normal condition, ending the blocking instruction through the CPU; when the abnormal frame image belongs to abnormal conditions, further responding to the blocking instruction through the CPU; the CPU calls the video information of the blocking instruction according to the blocking instruction request and displays the video information of the blocking instruction on the CPU.
2. The intelligent method for making rice and corn multi-functional grinding rice and flour as claimed in claim 1, wherein the server receives and analyzes the control signal sent by the man-machine interaction module, and comprises:
detecting a motion device: separating a moving target from a background in a monitoring video by using a Gaussian mixture model, obtaining a specific area of the moving target by adopting self-adaptive threshold segmentation, and continuously updating the background in real time;
tracking by a moving device: tracking the motion device by using a Kalman filtering method, extracting the mass center of the device target through the motion speed of a time device used by a calculating device through a fixed distance, and synthesizing the motion track of the device target to obtain the motion vector of the device target in a continuous multi-frame image sequence: including the position, direction and speed of movement of the device target;
and (3) semantic analysis of device behaviors: comparing the motion trail of the device target with a device behavior motion trail designed in advance, and analyzing to obtain which device behavior the motion trail of the device target belongs to by combining three motion vectors of the device target; including normal operation, shutdown, and inconsistent speed of the device.
3. The intelligent method for making rice and corn flour through multifunctional grinding of rice and corn as claimed in claim 1, wherein after the corresponding operation is performed by the electronic chip control device, the rice and corn flour is ground by using the grinding inspection module, the ground rice and flour is inspected for the second time, and after the product ground by the grinding machine for the first time is obtained, the product is screened.
4. A rice and corn multifunctional grinding and rice and flour making intelligent system for implementing the intelligent method for rice and corn multifunctional grinding and rice and flour making of any one of claims 1 to 3, wherein the intelligent system for rice and corn multifunctional grinding and rice and flour making comprises:
the device connecting module is connected with the central control module and is used for connecting the device and the system, and after the device and the system are connected, the state of a connecting line can be displayed on the human-computer interaction module for a worker to check;
the device monitoring module is connected with the central control module and comprises a monitoring CPU, a blocking instruction device and a blocking device, the monitoring CPU monitors the state of the device in real time, once the state of the device changes, the monitoring CPU is stimulated to generate an electric signal, if the electric signal is analyzed to be abnormal change by the CPU, the blocking device is called immediately to block the power supply of the device, loss is prevented, and meanwhile, the blocking instruction device is called to send a blocking instruction to remind a worker;
the device control module is connected with the central control module and used for receiving instructions of the system to operate and control the device, the server receives control signals sent by the man-machine interaction module, analyzes and analyzes corresponding operations, converts the operations into corresponding electric signals and transmits the electric signals to an electric chip of the device, and the electric chip control device performs corresponding operations;
and the central processing module is used for controlling each module to work normally, and the main controller collects external signals (data and requests transmitted by each module) and outputs the external signals to the output channel after analysis and processing. When the external needs analog quantity output, the system is converted into a standard electric signal through a D/A converter to be output;
and the human-computer interaction module is connected with the central control module and converts the state of the device into a digital signal to be analyzed and displayed on a display screen. The staff can input instructions on the display interface, the submitted data instruction form is uploaded to the server through the central processing unit CPU through the Internet, and then the data instruction form is transmitted to the device control module through the server for controlling the behavior of the device;
grind the inspection module, the device grinds the back, will carry out the secondary inspection to the rice face that grinds, after obtaining the product that the machine of grinding once ground, grind the inspection module and sieve the product, the sieving mechanism has wobbling sieve separator, and the wobbling screening can carry out fine screening to the product of big granule.
5. The intelligent rice and corn multifunctional grinding and rice-making system according to claim 4, wherein a display connector of the human-computer interaction module is a DVI interface.
6. The rice and corn multifunctional milling and rice noodle making intelligent system as claimed in claim 4, wherein the human-computer interaction module submits a form using HTML5 technology for partial refreshing of pages by Ajax.
7. The intelligent rice and corn multifunctional grinding and rice and flour making system according to claim 4, wherein after the connecting line in the device connecting module is installed, the connecting line is displayed in the man-machine interaction module in a green line, and when the connecting line fails, the state of the connecting line is red;
the grinding inspection module can be controlled by two methods, namely, the speed and the frequency are controlled by a knob on the device, and the parameters of the device are controlled by a human-computer interaction module.
8. An operation method of the intelligent rice and corn multifunctional grinding and rice and flour making system according to any one of claims 4 to 7, wherein the operation method comprises the following steps:
s1: firstly, connecting a connecting line between a device and a system, checking the state of the connecting line on a human-computer interaction module, and carrying out the next step if the connecting line is green;
s2: setting parameters of a swinging device of the grinding inspection module for the device through a human-computer interaction module;
s3: adding grains such as rice and corn;
s4: starting the device through a man-machine interaction module;
s5: and (4) screening the rice and flour which are ground once for the second time, and then putting the rice and flour into the grinding machine again.
9. An information data processing terminal, characterized in that the information data processing terminal comprises a memory and a processor, the memory stores a computer program, and the computer program is executed by the processor, so that the processor executes the intelligent method for rice and corn multifunctional grinding and rice noodle making according to any one of claims 1-3.
10. A computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the intelligent method for rice and corn multi-functional milling for rice and corn manufacture according to any one of claims 1 to 3.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110925264.8A CN113634356A (en) | 2021-08-12 | 2021-08-12 | Intelligent system and method for multifunctional grinding of rice and corn to prepare rice and flour |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110925264.8A CN113634356A (en) | 2021-08-12 | 2021-08-12 | Intelligent system and method for multifunctional grinding of rice and corn to prepare rice and flour |
Publications (1)
Publication Number | Publication Date |
---|---|
CN113634356A true CN113634356A (en) | 2021-11-12 |
Family
ID=78421139
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110925264.8A Pending CN113634356A (en) | 2021-08-12 | 2021-08-12 | Intelligent system and method for multifunctional grinding of rice and corn to prepare rice and flour |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113634356A (en) |
Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101727570A (en) * | 2008-10-23 | 2010-06-09 | 华为技术有限公司 | Tracking method, track detection processing unit and monitor system |
CN103227963A (en) * | 2013-03-20 | 2013-07-31 | 西交利物浦大学 | Static surveillance video abstraction method based on video moving target detection and tracing |
CN103984323A (en) * | 2014-05-27 | 2014-08-13 | 陈雄 | Integrated configurable industrial information monitoring, analyzing and controlling system |
CN205486476U (en) * | 2016-03-07 | 2016-08-17 | 广东圣托智能设备有限公司 | Intelligent husk rice complete machine with monitoring function |
CN107610431A (en) * | 2017-08-04 | 2018-01-19 | 西安电子科技大学 | A kind of anomaly analysis and alarm control system and method |
CN107872644A (en) * | 2016-09-23 | 2018-04-03 | 亿阳信通股份有限公司 | Video frequency monitoring method and device |
CN108187896A (en) * | 2017-12-28 | 2018-06-22 | 四川皇龙智能破碎技术股份有限公司 | A kind of crusher remote data acquisition system |
CN108335489A (en) * | 2018-03-11 | 2018-07-27 | 西安电子科技大学 | Vehicle on highway behavior semantic analysis and abnormal behaviour monitoring system and method |
CN108334850A (en) * | 2018-02-10 | 2018-07-27 | 深圳汇通智能化科技有限公司 | A kind of intelligent interactive system |
CN108810464A (en) * | 2018-06-06 | 2018-11-13 | 合肥思博特软件开发有限公司 | A kind of intelligence is personal to identify image optimization tracking transmission method and system |
CN109647571A (en) * | 2017-10-10 | 2019-04-19 | 陈丽贞 | One kind is for secondary milling apparatus in rice flour screening |
CN112799897A (en) * | 2021-02-23 | 2021-05-14 | 青岛海科虚拟现实研究院 | Information management method, management system and storage medium based on big data |
CN213376767U (en) * | 2020-08-24 | 2021-06-08 | 浙江谷稻家农业科技有限公司 | Intelligent rice mill |
-
2021
- 2021-08-12 CN CN202110925264.8A patent/CN113634356A/en active Pending
Patent Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101727570A (en) * | 2008-10-23 | 2010-06-09 | 华为技术有限公司 | Tracking method, track detection processing unit and monitor system |
CN103227963A (en) * | 2013-03-20 | 2013-07-31 | 西交利物浦大学 | Static surveillance video abstraction method based on video moving target detection and tracing |
CN103984323A (en) * | 2014-05-27 | 2014-08-13 | 陈雄 | Integrated configurable industrial information monitoring, analyzing and controlling system |
CN205486476U (en) * | 2016-03-07 | 2016-08-17 | 广东圣托智能设备有限公司 | Intelligent husk rice complete machine with monitoring function |
CN107872644A (en) * | 2016-09-23 | 2018-04-03 | 亿阳信通股份有限公司 | Video frequency monitoring method and device |
CN107610431A (en) * | 2017-08-04 | 2018-01-19 | 西安电子科技大学 | A kind of anomaly analysis and alarm control system and method |
CN109647571A (en) * | 2017-10-10 | 2019-04-19 | 陈丽贞 | One kind is for secondary milling apparatus in rice flour screening |
CN108187896A (en) * | 2017-12-28 | 2018-06-22 | 四川皇龙智能破碎技术股份有限公司 | A kind of crusher remote data acquisition system |
CN108334850A (en) * | 2018-02-10 | 2018-07-27 | 深圳汇通智能化科技有限公司 | A kind of intelligent interactive system |
CN108335489A (en) * | 2018-03-11 | 2018-07-27 | 西安电子科技大学 | Vehicle on highway behavior semantic analysis and abnormal behaviour monitoring system and method |
CN108810464A (en) * | 2018-06-06 | 2018-11-13 | 合肥思博特软件开发有限公司 | A kind of intelligence is personal to identify image optimization tracking transmission method and system |
CN213376767U (en) * | 2020-08-24 | 2021-06-08 | 浙江谷稻家农业科技有限公司 | Intelligent rice mill |
CN112799897A (en) * | 2021-02-23 | 2021-05-14 | 青岛海科虚拟现实研究院 | Information management method, management system and storage medium based on big data |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
EP0925532B1 (en) | Control system monitor | |
JP2006518894A (en) | Process control system and method for configuring a process control system | |
JP4096533B2 (en) | Image processing inspection system | |
EP3948892A1 (en) | System and method for remote patient monitoring | |
CN101025656A (en) | Embedded screen spot positioning device | |
TW201931228A (en) | Automatic equipment management system and method thereof | |
CN1280754C (en) | Embedded networked remote input and output system | |
CN116147714B (en) | Method for monitoring abnormality of production process of D-dimer and FDP composite quality control product | |
CN108769672A (en) | A kind of audio and video Auto-Test System and method instead of human perception | |
CN113634356A (en) | Intelligent system and method for multifunctional grinding of rice and corn to prepare rice and flour | |
CN102955659A (en) | Method and system for adjusting display interface | |
JP6513325B1 (en) | Control device, control system, notification method and program | |
CN110782905A (en) | Positioning method, device and system | |
CN112567400A (en) | Information processing apparatus, information processing method, and job evaluation system | |
US20180224825A1 (en) | Image processing system, image processing device, method of reconfiguring circuit in fpga, and program for reconfiguring circuit in fpga | |
CN113409818A (en) | Predictive maintenance method and system for production equipment based on sound sensor | |
CN103645977A (en) | Automatic debugging system and method for electronic products | |
CN102136233A (en) | White balance data adjusting system and method as well as single step infrared adjuster thereof | |
CN111083443A (en) | Monitoring center auxiliary system and method based on deep learning | |
CN113140479A (en) | Monitoring system and method for semiconductor device preparation process | |
CN112364763A (en) | Piglet milk-taking behavior monitoring system based on edge calculation | |
CN106338960A (en) | Distributed production workshop intelligence data monitoring transmission apparatus | |
CN117522282A (en) | Error-proof feeding method and related device | |
CN114708643B (en) | Computing power improving method for edge video analysis device and edge video analysis device | |
CN2660800Y (en) | Embedded networked remote input and output system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20211112 |
|
RJ01 | Rejection of invention patent application after publication |