CN109612562B - Silo material weight metering system and method based on distributed weighing nodes - Google Patents

Silo material weight metering system and method based on distributed weighing nodes Download PDF

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CN109612562B
CN109612562B CN201811465710.6A CN201811465710A CN109612562B CN 109612562 B CN109612562 B CN 109612562B CN 201811465710 A CN201811465710 A CN 201811465710A CN 109612562 B CN109612562 B CN 109612562B
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weighing
silo
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董自健
潘传超
王涛
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Jiangsu Haihong Information Technology Co ltd
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    • G01MEASURING; TESTING
    • G01GWEIGHING
    • G01G19/00Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
    • G01G19/40Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups with provisions for indicating, recording, or computing price or other quantities dependent on the weight

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Abstract

The invention discloses a silo material weight metering system and method based on distributed weighing nodes, belonging to the technical field of weight measurement and being characterized in that: the bottom of the silo is provided with a plurality of mutually separated weighing nodes, each weighing node comprises a weighing sensor, a communication transceiver and a power supply, the communication transceiver is connected with a data transceiving center, and the data transceiving center is connected with a data processing center; the communication mode of the weighing node and the data transceiving center is wireless communication or wired communication. The technical problem that the weight of the existing silo material cannot be effectively measured is solved, and the technical field of silo materials is mainly applied.

Description

Silo material weight metering system and method based on distributed weighing nodes
Technical Field
The invention belongs to the technical field of weight measurement, particularly relates to a silo material weight metering system and method based on distributed weighing nodes, and particularly relates to a system device and a measuring method for measuring the weight of materials stored in a large silo.
Background
In the industries of grain and oil, chemical industry, food, feed and the like, large silos are adopted for storing materials, and the silos are often large in dust, high in explosion-proof requirement and extremely large in space, and store thousands of tons or even tens of thousands of tons of materials. However, at present, no better method is available for accurately measuring the weight of the materials stored in the silos, so that the problems of poor management, material loss, unclear account and the like of a plurality of enterprises are caused. At present, the method for measuring the weight of a large silo mostly adopts the steps of arranging a plurality of observation ports from the top of the silo, manually obtaining the height of materials at the observation ports, averaging the heights, and obtaining the volume and the weight of the stored materials through certain calculation. When the surface of the material is uneven, the method is often large in measurement error; the method comprises the following steps of performing rotary dot matrix scanning on the surface of a material by using a laser radar, and performing trigonometric function conversion to obtain a three-dimensional image of the material, but a silo in operation is often large in dust, so that laser ranging is inaccurate; the microwave radar can also be used for ranging, rotary lattice scanning is adopted to obtain a ranging result of the surface of a material, and three-dimensional reconstruction is carried out, so that the volume and the weight are obtained, but the locking time of the microwave radar is slow, and the distance for measuring one point needs 10 seconds, so that a single microwave radar usually needs more than 15 minutes to obtain a three-dimensional shape of the material (such as scanning 100 points on the surface of the material), in addition, the high-precision microwave radar usually has higher price but limited ranging precision, and the ranging error is increased due to the mechanical structure for controlling the microwave radar to carry out rotary scanning; the technology such as microwave beam reflection is used, a mechanical structure is not needed to control a microwave radar to carry out rotary scanning, but the equipment adopting the technology is expensive at present and has limited precision, and the error is generally more than 3%. In view of the foregoing, there is a need for a new system and method for accurate weight measurement of materials in large silos.
Disclosure of Invention
Aiming at the defects or shortcomings of the prior art, the invention provides a scheme, which uses a plurality of distributed weighing nodes, an experimental method, model optimization, data fitting and other modes to realize the weight measurement of the materials in the large silo.
In order to achieve the purpose, the invention provides a silo material weight metering system based on distributed weighing nodes, which comprises a silo and is characterized in that:
the bottom of the silo is provided with a plurality of mutually separated weighing nodes, each weighing node comprises a weighing sensor, a communication transceiver and a power supply, the communication transceiver is connected with a data transceiving center, and the data transceiving center is connected with a data processing center; the communication mode of the weighing node and the data transceiving center is wireless communication or wired communication.
A silo material weight metering system metering method based on distributed weighing nodes comprises the following steps:
step 1: and arranging N weighing units according to the silo structure and the ground condition of the silo.
Step 2: in the case of low silo material heights, M experiments were carried out (typically M ═ N): in the ith experiment, a fixed amount of material weight G was charged into the siloiRecording the weighing data w of each weighing node ji,j(ii) a Assuming that the contribution coefficient (or called weighting coefficient) of the weighing node j to the silo material is betaLjThen, the optimization problem is obtained:
Figure GDA0001985211720000021
and the condition beta is definedLjJ is more than 0 and more than or equal to 1 and less than or equal to N. According to the optimization model and experimental data, beta can be obtainedLj,1≤j≤N;
And step 3: under the condition of highest silo material, the method in the step 2 is adopted to obtain betaHj,1≤j≤N。
And 4, step 4: because a certain friction force exists between the vertical wall of the silo and the material when the height of the silo material is larger, the weighing data w under the condition of higher materiali,jIs too small to cause the calculated betaHjAnd j is more than or equal to 1 and less than or equal to N is larger. Therefore, the weighting coefficient of the weighing node is a function of the weighing data and needs to be corrected. Beta is ajA general linear correction method can be adopted, and the correction formula is as follows
Figure GDA0001985211720000022
Wherein, wk,jIs the k-th weighing value of the weighing node j,
Figure GDA0001985211720000023
is the average of the M measurements of the weighing node j in step 3.
And 5: when the system is actually used, the weighing data obtained by N weighing nodes is (w) assuming that a certain measurement is carried outk,1,wk,2,...,wk,N) Calculating the weight G of the materials in the silo after calculating the correction weighting coefficient according to the step 4k=[wk,1,wk,2,...,wk,N](β1(wk,1),β2(wk,2),...,βN(wk,N))T
Preferably: when the silo structure is special, an auxiliary device needs to be added, so that the top stress surface of the weighing node is kept horizontal.
Generally, compared with the prior art, the above technical solution conceived by the present invention can obtain the following beneficial effects:
the weighing error is small and is not more than 1%; through distributed weighing, the weight borne by each weighing node is small, generally can not exceed 500 kilograms, certainly can not exceed 1 ton, and the problem that large-scale weighing equipment needs to be arranged is avoided. In practical application, a weighing device weighing thousands of tons or even tens of thousands of tons is difficult to manufacture, and even if the weighing device is manufactured, the weighing device is difficult to put into practical use; for powdery or granular materials, integral weight measurement is not needed; the large silo materials or the accumulated materials adopt a distributed weighing mode, the measured value of the large silo materials or the accumulated materials and the actual material height may not be in a linear relation, but the method can accurately obtain the corresponding relation between the distributed weighing value and the actual material total weight by using an experiment and optimization solving method; for the silo with a special structure, weighing points can be flexibly arranged, an experimental method is flexibly used for obtaining data, and then analysis and data fitting are carried out to obtain a more accurate result; the system and the method are not limited to silos, and can also be applied to three-dimensional reconstruction, volume measurement and weight measurement of other types of large-scale stacked materials and stored materials, and the influence of the vertical friction force of the side wall of the silo on the weight of the materials does not need to be considered.
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Figure 1 is a block diagram of a silo material weight metering system based on distributed weighing nodes of the present invention;
FIG. 2 is a schematic diagram of a distributed weighing node based silo material weight metering system of the present invention;
fig. 3 is a diagram of the position of a weighing node mounting structure of a silo material weight metering system based on distributed weighing nodes.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and 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. In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
A silo material weight metering system based on distributed weighing nodes is disclosed, as shown in attached figures 1-3, a plurality of weighing nodes 1 which are separated from each other are arranged at the bottom of a silo, each weighing node 1 comprises a weighing sensor 11, a communication transceiver 12 and a power supply 13, the communication transceiver 12 is connected with a data transceiving center 2, and the data transceiving center 2 is connected with a data processing center 3; the communication mode of the weighing node 1 and the data transceiving center 2 is wireless communication or wired communication.
A silo material weight metering system metering method based on distributed weighing nodes comprises the following steps:
step 1: and arranging N weighing units on the ground of the silo according to the structure of the silo and the ground condition of the silo.
Step 2: in the case of low silo material heights, M experiments were carried out (typically M ═ N): in the ith experiment, a fixed amount of material weight G was charged into the siloiRecording the weighing data w of each weighing node ji,j(ii) a Assuming that the contribution coefficient (or called weighting coefficient) of the weighing node j to the silo material is betaLjThen, the optimization problem is obtained:
Figure GDA0001985211720000031
and the condition beta is definedLjJ is more than 0 and more than or equal to 1 and less than or equal to N. According to the optimization model and experimental data, beta can be obtainedLj,1≤j≤N;
And step 3: under the condition of highest silo material, the method in the step 2 is adopted to obtain betaHj,1≤j≤N。
And 4, step 4: because a certain friction force exists between the vertical wall of the silo and the materials when the height of the silo materials is larger, the materials are in the siloUnder the condition of high material, weighing data wi,jIs too small to cause the calculated betaHjAnd j is more than or equal to 1 and less than or equal to N is larger. Therefore, the weighting coefficient of the weighing node is a function of the weighing data and needs to be corrected. Beta is ajA general linear correction method can be adopted, and the correction formula is as follows
Figure GDA0001985211720000041
Wherein, wk,jIs the k-th weighing value of the weighing node j,
Figure GDA0001985211720000042
is the average of the M measurements of the weighing node j in step 3.
And 5: when the system is actually used, the weighing data obtained by N weighing nodes is (w) assuming that a certain measurement is carried outk,1,wk,2,...,wk,N) Calculating the weight G of the materials in the silo after calculating the correction weighting coefficient according to the step 4k=[wk,1,wk,2,...,wk,N](β1(wk,1),β2(wk,2),...,βN(wk,N))T
Experimental data
A small simulation silo with the radius of 1 meter, the height of 2.2 meters and the shape of a cylinder is built, 8 weighing nodes are arranged in the simulation silo, and experiments are carried out. Wherein the bearing surface of the weighing node is a disc with the radius of 5 cm.
Under the condition that the material at the bin position is lower, 100 kilograms of soybean meal, 200 kilograms of soybean meal, … soybean meal, 800 kilograms of soybean meal and the like are sequentially put into the silo, and 8 groups of weighing data with 8 weighing nodes are obtained.
Figure GDA0001985211720000043
Then 2900 kg, 3000 kg, … and 3600 kg are put into the system, and the data of 8 groups of 8 weighing nodes under the condition of high material level are obtained as follows
Figure GDA0001985211720000044
According to the method of the invention, weighting parameters are obtained and 6 groups of verification are carried out, the experimental errors are respectively 0.6%, 0.18%, 0.88%, 0.74%, 0.51% and 0.71%, and the data are as follows.
Figure GDA0001985211720000051
Further, when the silo structure is more special, auxiliary devices need to be added, so that the top stress surface of the weighing node is kept horizontal.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only Memory (R0M), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (1)

1. A metering method of a silo material weight metering system based on distributed weighing nodes comprises the following steps:
step 1: the bottom of the silo is provided with a group of circular pits, a plurality of weighing nodes (1) which are separated from each other are arranged in the circular pits, each weighing node (1) comprises a weighing sensor (11), a communication transceiver (12) and a power supply (13), the communication transceiver (12) is connected with a data transceiving center (2), and the data transceiving center (2) is connected with a data processing center (3); the communication mode of the weighing nodes (1) and the data transceiving center (2) is wireless communication or wired communication, and N weighing nodes are arranged according to the silo structure and the ground condition of the silo;
step 2: in case of low silo material height, M experiments were performed (M ═ N): in the ith experiment, a fixed amount of material weight G was charged into the siloiRecording the weighing data w of each weighing node ji,j(ii) a Assuming that the weighting node j has a contribution coefficient (or called weighting coefficient) of beta to the silo material under the condition that the height of the silo material is lowerLjThen, the optimization problem is obtained:
Figure FDA0002784862440000011
and the condition beta is definedLjJ is more than 0,1 and less than or equal to N, i is more than or equal to 1 and less than or equal to M, and beta can be obtained according to the optimization model and experimental dataLj,1≤j≤N;
And step 3: under the condition of high silo material, the method in the step 2 is adopted to obtain betaHj,1≤j≤N;
And 4, step 4: because a certain friction force exists between the vertical wall of the silo and the silo material when the height of the silo material is larger, the contribution coefficient (or called as weighting coefficient) of the weighing node j to the silo material is beta under the condition that the height of the silo material is higherHjThus, in the case of a high material, the weighing data wi,jIs too small to cause the calculated betaHjJ is more than or equal to 1 and is less than or equal to N and is larger; the weighting factor beta of the weighing node in actual usejIs a function of the weighing data, requiring correction, betajThe linear correction method is adopted, and the correction formula is as follows
Figure FDA0002784862440000012
Wherein, wk,jIs the k-th weighing value of the weighing node j in actual use,
Figure FDA0002784862440000013
is the average of the M measurements of the weighing node j in step 3;
and 5: when the system is actually used, supposing that the kth measurement is carried out, k is more than or equal to 1, N is more than 1, and the weighing data obtained by N weighing nodes is (w)k,1,wk,2,...,wk,N) Calculating the weight G of the materials in the silo after calculating the correction weighting coefficient according to the step 4k=[wk,1,wk,2,...,wk,N](β1(wk,1),β2(wk,2),...,βN(wk,N))T
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