CN103063136A - Detecting system for granary reserves - Google Patents

Detecting system for granary reserves Download PDF

Info

Publication number
CN103063136A
CN103063136A CN2012105817791A CN201210581779A CN103063136A CN 103063136 A CN103063136 A CN 103063136A CN 2012105817791 A CN2012105817791 A CN 2012105817791A CN 201210581779 A CN201210581779 A CN 201210581779A CN 103063136 A CN103063136 A CN 103063136A
Authority
CN
China
Prior art keywords
silo
warehouse
grain
granary
storehouse
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.)
Granted
Application number
CN2012105817791A
Other languages
Chinese (zh)
Other versions
CN103063136B (en
Inventor
王智森
邹念育
刘书翰
冯笑
李志明
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Liangong Guangtong (Dalian) Lighting Technology Co.,Ltd.
Original Assignee
Dalian Engineering (siyang) Light Source And Lighting Engineering Technology Research Institute Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Dalian Engineering (siyang) Light Source And Lighting Engineering Technology Research Institute Co Ltd filed Critical Dalian Engineering (siyang) Light Source And Lighting Engineering Technology Research Institute Co Ltd
Priority to CN201210581779.1A priority Critical patent/CN103063136B/en
Publication of CN103063136A publication Critical patent/CN103063136A/en
Application granted granted Critical
Publication of CN103063136B publication Critical patent/CN103063136B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Storage Of Harvested Produce (AREA)
  • Image Analysis (AREA)
  • Closed-Circuit Television Systems (AREA)

Abstract

The invention discloses a detecting system for granary reserves comprising a granary body, an image collecting device is arranged at the top in the granary body, identifications are arranged in the granary body, images in the granary body are collected by the image collecting device, number information of the identifications in the images is distinguished by the system and is converted into size information of the inner wall of the granary body, and then grain volume reserves are obtained through calculating. The technology of image collecting and analyzing is adopted, the defect that a traditional detecting system is complex and huge in network structure is overcome, a simple and convenient mode is adopted for monitoring, and cost of a monitoring system is greatly reduced. When reserves are detected, anti-theft monitoring can be achieved, the detecting system for the granary reserves is combined with existing temperature and humidity detecting technology to detect the status of grains in the granaries in an all-round mode, collected data is uploaded to a monitoring center through a network, conditions of grains in all granaries in the monitoring range can be accurately mastered, the detecting system for the granary reserves has the advantages of being low in cost, efficient, real-time and convenient to assemble, and the benefits after popularization are more obvious.

Description

A kind of granary storage capacity detection system
Technical field
The present invention relates to the electric detective technology field, be specifically related to the silo detection system.
Background technology
Grain is the base substance that the mankind depend on for existence, is the valuable cargo that involves the interests of the state and the people.FAO (Food and Agriculture Organization of the United Nation) statistics, the belly in the situation that the whole world 9.25 hundred million people do not have enough to eat has about 1,300,000,000 ton-grain food every year or is wasted or suffers artificial the loss, and this scale is equivalent to 1/3rd of global grain yield, surpasses half of global grain yield.Therefore, food problem should fully be paid close attention to.
Various places are all also adopted the method for traditional poor efficiency basically in the reserve statistics of silo and security monitoring, can't adapt to the development in epoch, a large amount of foodstuff preservations together, if because out of condition in the storehouse, cause the living bacterium of grain, mouldy, a large amount of strong carcinogens be can produce, great waste and property loss caused.According to statistics, the every a large amount of human and material resources of input and the financial resources of needing every year of China are carried out grain depot inspection work, but because detection method is original, inefficiency is lasted length, expends huge, and the testing result precision is not high, and this makes country be affected to statistics and the regulation and control of grain.
Country all has grain depot in the each place and stores grain, grain needs to make a distinction by its weight and the different of water cut before warehouse-in, in the silo of the different ventilation situations of packing into, after experience a period of time, after grain moisture content is lost to a certain degree in the storehouse, just need to fall the storehouse to grain in each storehouse, so that safe storage grain.
Present domestic silo great majority on the grain reserve statistics also adopt traditional management accounts pattern, namely when increasing in the silo at every turn or shifting out grain, all will record and deposit account, will check record case and actual conditions when the national grain feelings in every year check.In today that Information Technology Development makes rapid progress, it is very backward that this metering method obviously seems, and this method can't realize the Real Time Monitoring to the reserves of silo, can not prevent effectively that the guard personnel from having a mind to report by mistake that grain goes out the warehouse-in amount and the thing of defalcating.
And also have at present by the deliver from godown method of interior grain storage amount of monitoring silo pressure and then calculating.This detection principle is at the storehouse inner bottom part, and pressure transducer is laid respectively in both sides, and by gathering pressure everywhere, again by the analytical calculation of processor, interior real-time grain reserves must deliver from godown.The method has very much progress than first method, can the Real-Time Monitoring storehouse in the variation of grain quality, but the pressure transducer that the method adopts all is that precision is lower, the type that range is larger.When there being the thief to be sent in the storehouse other object from silo, when grain being transported from the CD outlet of below with identical speed simultaneously, this detection method almost can not detect variation, and causes the national wealth loss.
In addition, use in addition the method that ground penetrating radar is carried out grain situation in the lossless detection storehouse.According to the relation of grain specific inductive capacity and density, adopt velocity of wave chromatography and decay chromatography algorithm that the specific inductive capacity of grain is carried out inverting, thereby realize the estimation of grain volume density in the storehouse.Simultaneously, employing speed and decay associating chromatographic technique are estimated the grain actual reserves.This method can detect the interior foreign matter that delivers from godown more accurately, can effectively stop illegal person to throw in foreign material in the storehouse and pretend to be grain.Yet the cost of this checkout equipment installation and maintenance is high, and function singleness is difficult to be promoted.
Summary of the invention
The technical problem to be solved in the present invention provides a kind of granary storage capacity detection system, can solve the granary storage capacity detection system of prior art because of the high problem that can't promote of expense.
The present invention is achieved through the following technical solutions:
A kind of granary storage capacity detection system, the warehouse that comprises silo, top in the described warehouse is provided with image collecting device, be provided with sign in the described warehouse, image collecting device gathers the image in the warehouse, identify quantity information in the system resolution image, be converted to the dimension information of warehouse inwall, then calculate the grain volumetric reserve that obtains in the silo.
The further improvement of the present invention scheme is that silo is divided into chamber storehouse and silo or flat bottom silo;
When described silo was chamber storehouse, that the wall of warehouse and ground are provided with was black, white alternate grid sign, and wherein a row grid of wall dual-side section is divided into the length of side and equals half black, white alternate lattice of raw footage, as origin identification;
When described silo is silo or flat bottom silo, grain-entering mouth is positioned at Cang Ding, grain-entering mouth is provided with scale in one side of projection at the bottom of the storehouse, black, white alternate grid sign that the annular inner wall of described warehouse is provided with, the two row grids that extend vertically at the two ends of same diameter at the bottom of the storehouse are divided into the length of side and equal half black, white alternate lattice of raw footage, as origin identification; Black, white alternate striped sign that described scale is provided with, the width of described striped sign equates with the length of side of origin identification.
The further improvement of the present invention scheme is, image collector is set to camera, and described camera has many;
When silo was chamber storehouse, camera was respectively towards wall and the ground of warehouse;
When silo was silo or flat bottom silo, camera was respectively towards the inwall and the scale that are divided into two equal portions by two row origin identification.
The present invention can also arrange temperature, humidity sensor in warehouse, to detect the state of grain, make things convenient for managerial personnel in time to handle it, and prevents that grain from making moist, living bacterium, mouldy; The technical program is a kind of application of routine techniques.
The present invention's advantage compared with prior art is:
One, adopts the image acquisition analytical technology, overcome the complicated huge network structure characteristics of traditional detection system, adopt simply and easily mode to monitor, greatly reduce the cost of monitoring system;
Two, when detecting, reserves can realize anti-theft monitoring, with existing temperature, the combination of Humidity Detection technology, the state of grain in the comprehensive detection silo is crossed network with the data communication device that gathers and is uploaded to Surveillance center, can accurately grasp the situation of the interior grain of all silos in the monitoring range;
Three, have low cost, efficient, real-time characteristics, easy for installation, the benefit after popularizing is more obvious.
Description of drawings
Fig. 1 is the marking structure schematic diagram of room formula silo.
Fig. 2 is the camera scheme of installation of room formula silo.
Fig. 3 is the marking structure schematic diagram of shallow round silo.
Fig. 4 is that flat bottom silo camera and scale are laid schematic diagram.
Embodiment
Embodiment 1
Chamber storehouse as shown in Figure 1, wall in its storehouse is whitewashed black, white alternate grid take 1m as the length of side, be that the length of side is that the lattice of 0.5m is as origin identification with a row coding staff cellular splitting of a face wall wherein, only provide the coded system of bottom surface and two sides among the figure, other wall is all as reference.
As shown in Figure 2, camera is placed in the four sides of the Cang Ding of chamber storehouse, takes respectively the image of its corresponding wall.
Every some cycles, camera collection storehouse internal information, and the image information that collects is uploaded to grain depot Surveillance center carries out analyzing and processing.The light that shines bulkhead is reflected back camera, presents gray scale difference and information with distinct contrast in image.Because the coding grid is different apart from the distance of camera, so the image information that presents is not identical yet, when judging coding grid big or small, program detects previous near apart from the camera grid length of each coding grid, if its length difference is no more than normal range, assert that then this coding grid is the 1m length of side.After image processing techniques is processed, carry out analyzing and processing by suitable algorithm again and just can obtain grain reserves in the silo.Its specific algorithm is as follows:
After the image processing techniques analyzing and processing, the height of the four side bulkheads that stacking grain covers in the storehouse of supposing to collect is respectively i 1, i 2, i 3, i 4, the warehouse width of this silo is L, and length is M, and for so that the grain volume that estimates is more approaching true, we average the height of the surroundings wall that collects, and according to the algorithm 1 that calculates the grain volume, current grain volume V is:
V=(i 1+ i 2+ i 3+ i 4)/4 * L * M---algorithm 1
When grain is stolen or the grain of pouring into, the image information that camera head collects can show these variations, and control center gives the alarm to relevant unit or individual.
Embodiment 2
As shown in Figure 3, the bulkhead of silo is whitewashed black, white alternate grid take 1m as the length of side, the two row grids that the two ends of same diameter at the bottom of the storehouse are extended vertically are divided into black, the white alternate lattice that the length of side is 0.5m, as origin identification, the projection of grain-entering mouth at the bottom of storehouse ground on one side is equipped with vertical scale, and scale is provided with black, the white alternate striped sign that width is 0.5m.
As shown in Figure 4, camera is placed on the same bus of cone storehouse end face, takes respectively the bulkhead and the scale that are divided into two equal portions by two origin identification.
Known silo bottom surface radius is R, but grain storage highly is h, when silo in when falling the storehouse, grain is poured into from the top, exports from lower opening.Residue grain shape may add for the back taper of central region sinking cylindrical, and the mark lengths on the bulkhead of supposing to collect is i 1, the length that collects the mark post in the middle of being fixed in is i 2, according to the algorithm 2 that calculates the grain volume, grain volume V is in the storehouse at this moment:
V=(h-1/3 i 2-2/3 i 1) * π R 2---algorithm 2
All the other are implemented such as embodiment 1.

Claims (3)

1. granary storage capacity detection system, the warehouse (1) that comprises silo, it is characterized in that: the top in the described warehouse (1) is provided with image collecting device (2), described warehouse is provided with sign in (1), image collecting device (2) gathers the image in the warehouse (1), identify quantity information in the system resolution image, be converted to the dimension information of warehouse (1) inwall, then calculate the grain volumetric reserve that obtains in the silo (1).
2. a kind of granary storage capacity detection system as claimed in claim 1, it is characterized in that: described silo is divided into chamber storehouse and silo or flat bottom silo;
When described silo was chamber storehouse, that the wall of warehouse (1) and ground are provided with was black, white alternate grid sign, and wherein a row grid of wall dual-side section is divided into the length of side and equals half black, white alternate lattice of raw footage, as origin identification;
When described silo is silo or flat bottom silo, grain-entering mouth is positioned at Cang Ding, grain-entering mouth one side of projection at the bottom of the storehouse is provided with scale (3), black, white alternate grid sign that the annular inner wall of described warehouse (1) is provided with, the two row grids that extend vertically at the two ends of same diameter at the bottom of the storehouse are divided into the length of side and equal half black, white alternate lattice of raw footage, as origin identification; Black, white alternate striped sign that described scale (3) is provided with, the width of described striped sign equates with the length of side of origin identification.
3. a kind of granary storage capacity detection system as claimed in claim 1, it is characterized in that: described image collecting device (2) is camera, and described camera has many;
When silo was chamber storehouse, camera was respectively towards wall and the ground of warehouse (1);
When silo was silo or flat bottom silo, camera was respectively towards the inwall and the scale (3) that are divided into two equal portions by two row origin identification.
CN201210581779.1A 2012-12-28 2012-12-28 A kind of granary storage capacity detection system Expired - Fee Related CN103063136B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201210581779.1A CN103063136B (en) 2012-12-28 2012-12-28 A kind of granary storage capacity detection system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201210581779.1A CN103063136B (en) 2012-12-28 2012-12-28 A kind of granary storage capacity detection system

Publications (2)

Publication Number Publication Date
CN103063136A true CN103063136A (en) 2013-04-24
CN103063136B CN103063136B (en) 2015-12-23

Family

ID=48105867

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201210581779.1A Expired - Fee Related CN103063136B (en) 2012-12-28 2012-12-28 A kind of granary storage capacity detection system

Country Status (1)

Country Link
CN (1) CN103063136B (en)

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104729618A (en) * 2015-01-27 2015-06-24 新疆维吾尔自治区粮油科学研究所 Granary grain sensing device, measuring equipment and measuring method of granary grain storage quantity
CN105279296A (en) * 2014-07-22 2016-01-27 A.P.M.自动化解决方案公司 Method and system for measuring contents of cabin
CN105424249A (en) * 2015-11-11 2016-03-23 河南工业大学 Granary grain storage state detection method and device
CN107036687A (en) * 2017-03-08 2017-08-11 湖北叶威(集团)智能科技有限公司 The grain storage Monitoring of Quantity method and device of view-based access control model
CN108759980A (en) * 2018-04-03 2018-11-06 长沙沃哲信息技术有限公司 A kind of method of grain depot management, equipment and computer readable storage medium
CN108895961A (en) * 2018-05-24 2018-11-27 南京阿凡达机器人科技有限公司 A kind of measurement method, measuring device and the adhesive band of cabinet size
CN109669426A (en) * 2018-12-10 2019-04-23 江苏科技大学 A kind of intellectual monitoring unit and its implementation
CN110008947A (en) * 2019-04-12 2019-07-12 河南工业大学 A kind of silo Grain Quantity monitoring method and device based on convolutional neural networks
CN114964437A (en) * 2022-04-13 2022-08-30 成都百威智联科技有限公司 Method, device and system for automatically measuring grain quantity of conical cylindrical bin

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002005637A (en) * 2000-06-22 2002-01-09 Sumitomo Metal Mining Co Ltd Method for measuring volume or weight of particulate aggregate in high-temperature state
US20020014116A1 (en) * 1999-02-26 2002-02-07 Campbell Ronald H. Methods and systems for measuring crop density
CN1963377A (en) * 2006-10-30 2007-05-16 朱阳明 Measuring method for amount of grain reserve in grain depot
CN201476775U (en) * 2009-06-23 2010-05-19 陕西省粮油科学研究设计院 Device for measuring volume of grain pile in horizontal warehouse
CN101907481A (en) * 2010-07-29 2010-12-08 河南工业大学 Method for detecting quantity of stored grains in granary based on pressure sensor
CN102721367A (en) * 2012-07-02 2012-10-10 吉林省粮油科学研究设计院 Method for measuring volume of large irregular bulk grain pile based on dynamic three-dimensional laser scanning

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020014116A1 (en) * 1999-02-26 2002-02-07 Campbell Ronald H. Methods and systems for measuring crop density
JP2002005637A (en) * 2000-06-22 2002-01-09 Sumitomo Metal Mining Co Ltd Method for measuring volume or weight of particulate aggregate in high-temperature state
CN1963377A (en) * 2006-10-30 2007-05-16 朱阳明 Measuring method for amount of grain reserve in grain depot
CN201476775U (en) * 2009-06-23 2010-05-19 陕西省粮油科学研究设计院 Device for measuring volume of grain pile in horizontal warehouse
CN101907481A (en) * 2010-07-29 2010-12-08 河南工业大学 Method for detecting quantity of stored grains in granary based on pressure sensor
CN102721367A (en) * 2012-07-02 2012-10-10 吉林省粮油科学研究设计院 Method for measuring volume of large irregular bulk grain pile based on dynamic three-dimensional laser scanning

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
林鹰: "储备粮智能监管与稽核***关键技术研究", 《中国博士学位论文全文数据库 信息科技辑》, no. 8, 15 August 2009 (2009-08-15) *
林鹰等: "散装仓粮食数量识别关键——矩形标尺图像识别", 《浙江大学学报(工学版)》, vol. 41, no. 10, 31 October 2007 (2007-10-31), pages 1643 - 1646 *

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105279296B (en) * 2014-07-22 2019-02-05 A.P.M.自动化解决方案公司 For measuring the method and system of the content in storehouse
CN105279296A (en) * 2014-07-22 2016-01-27 A.P.M.自动化解决方案公司 Method and system for measuring contents of cabin
CN104729618A (en) * 2015-01-27 2015-06-24 新疆维吾尔自治区粮油科学研究所 Granary grain sensing device, measuring equipment and measuring method of granary grain storage quantity
CN105424249A (en) * 2015-11-11 2016-03-23 河南工业大学 Granary grain storage state detection method and device
CN105424249B (en) * 2015-11-11 2018-01-02 河南工业大学 A kind of detection method and its device of granary storage state
CN107036687A (en) * 2017-03-08 2017-08-11 湖北叶威(集团)智能科技有限公司 The grain storage Monitoring of Quantity method and device of view-based access control model
CN108759980A (en) * 2018-04-03 2018-11-06 长沙沃哲信息技术有限公司 A kind of method of grain depot management, equipment and computer readable storage medium
CN108895961A (en) * 2018-05-24 2018-11-27 南京阿凡达机器人科技有限公司 A kind of measurement method, measuring device and the adhesive band of cabinet size
CN109669426A (en) * 2018-12-10 2019-04-23 江苏科技大学 A kind of intellectual monitoring unit and its implementation
CN109669426B (en) * 2018-12-10 2021-10-26 江苏科技大学 Intelligent monitoring unit and implementation method thereof
CN110008947A (en) * 2019-04-12 2019-07-12 河南工业大学 A kind of silo Grain Quantity monitoring method and device based on convolutional neural networks
CN110008947B (en) * 2019-04-12 2021-06-29 河南工业大学 Granary grain quantity monitoring method and device based on convolutional neural network
CN114964437A (en) * 2022-04-13 2022-08-30 成都百威智联科技有限公司 Method, device and system for automatically measuring grain quantity of conical cylindrical bin
CN114964437B (en) * 2022-04-13 2024-02-13 成都百威智联科技有限公司 Method, device and system for automatically measuring grain quantity of conical silo

Also Published As

Publication number Publication date
CN103063136B (en) 2015-12-23

Similar Documents

Publication Publication Date Title
CN103063136B (en) A kind of granary storage capacity detection system
CN102065272A (en) Acoustic image integrated wild bird recognition technology-based remote wireless monitoring system
CN100521779C (en) Environment monitoring apparatus and system
CN111573039A (en) Intelligent garbage classification processing system based on big data
CN206472157U (en) A kind of water quality information monitoring system based on Cloud Server
CN110930048A (en) Crop drought risk assessment system and method based on disaster mechanism process
CN109145794A (en) A kind of health monitor method of aquafarm net cage
CN102436705A (en) Warning device for preventing electricity theft by video monitoring
CN207228160U (en) A kind of urban pipe network intelligent well cover
CN209545749U (en) A kind of land, sea and air integration ecological environmental monitoring system
CN109856639A (en) The positioning of Yangtze finless porpoise passive sonar and tracing system and method based on Internet of Things
CN104159080B (en) Aerial cableway falling-off detection system based on Hough transformation, and aerial cableway falling-off detection method based on Hough transformation
CN208520442U (en) Internet of Things ponding detecting alarm and ponding detecting and warning system
CN106353686A (en) Storage battery detection system
CN103942865A (en) Subway ticket evasion preventing system based on ultrasonic sensor and design method thereof
CN204965689U (en) Mountain torrents calamity monitoring collection system of reliable operation
CN108981880A (en) A kind of intelligent the real time measure weighing device of beef cattle living body weight
CN206601500U (en) Tipping bucket type numeral rainfall measuring device
CN201935913U (en) Real-time measurement device for soil moisture content of different soil layers
CN204757982U (en) Floating ice density monitoring devices based on image processing
CN207622834U (en) Waste liquid liquid level detection system with fault self-checking function
CN206990270U (en) A kind of long-range water quality detecting device
CN208476346U (en) A kind of ballast tank of ship silt detection device
CN111176175A (en) Intelligent sewer monitoring system based on Internet of things technology
CN204310017U (en) A kind of monitoring water environment ship

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
TR01 Transfer of patent right

Effective date of registration: 20180411

Address after: 116000 2 18, 1 unit 1, promotion road 252, Ganjingzi District, Dalian, Liaoning.

Patentee after: Liangong Guangtong (Dalian) Lighting Technology Co.,Ltd.

Address before: 223700 D ecological science and Technology Industrial Park, Siyang County, Suqian, Jiangsu

Patentee before: University DALIAN POLYTECHNIC

TR01 Transfer of patent right
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20151223