A monitoring method for accurate loading and unloading of materials

Abstract

The present invention relates to a monitoring method for accurate loading and unloading of materials, which belongs to the technical field of monitoring systems and comprises the following steps: step 1): respectively acquiring monitoring data in the process of loading and unloading materials, and recording data features of each monitoring data by a data vector method; step 2): analyzing data features of each recorded monitoring data by a linear vector point method according to data features of each recorded monitoring data; step 3): using the data features of each recorded monitoring data to analyze material expected values; wherein, a material offset analysis method is adopted to analyze the material expected values ​​in the data features of each monitoring data; step 4): storing the data features of each recorded monitoring data; the beneficial effect of the present invention: by recording data feature vectors of monitoring data of material loading and data feature vectors of monitoring data of material unloading, material offset monitoring is respectively realized for material loading and unloading.

Description

Technical Field

[0001] The invention belongs to the technical field of monitoring systems, and in particular relates to a monitoring method for accurate loading and unloading of materials. Background Art

[0002] Industrial automation is a production process that widely uses automatic control and automatic adjustment devices to replace manual operation of machines. Monitoring devices can be used to monitor or supervise the loading (discharging) and unloading (feeding) of materials in order to monitor the conditions of material feeding and material discharging, and try to make the material feeding and material discharging reach the expected value (that is, the material does not shift during the feeding and discharging process).

[0003] However, in the prior art, the offset monitoring of materials cannot be realized separately for the loading and unloading of materials. The general prior art monitors the loading and unloading of materials at the positions of the loading end of the materials (i.e. the bottom end of the feed) and the unloading beginning of the materials (i.e. the top end of the discharge). In the process of loading and unloading of materials, the loading and unloading monitoring at different positions requires the position of the monitoring device to be constantly changed, which is very laborious. The flexibility of the monitoring device is poor and it is difficult to meet the needs. For this reason, we propose a method for monitoring the accurate loading and unloading of materials to solve the technical problems raised in the above background technology. Summary of the invention

[0004] The main technical problem solved by the present invention is that the offset monitoring of materials cannot be realized respectively for the loading and unloading of materials. The present invention provides a monitoring method for accurate loading and unloading of materials. By recording the data feature vectors of the monitoring data of material loading and the data feature vectors of the monitoring data of material unloading, the offset monitoring of materials is realized respectively for the loading and unloading of materials.

[0005] In order to achieve the above object, the present invention is implemented by the following technical solutions:

[0006] A method for monitoring accurate loading and unloading of materials comprises the following steps:

[0007] Step 1): respectively obtain monitoring data during the material loading and unloading process, and record the data characteristics of each monitoring data using the data vector method;

[0008] Step 2): Analyze the data characteristics of each recorded monitoring data by linear vector point method according to the data characteristics of each recorded monitoring data;

[0009] Step 3): using the data features of each recorded monitoring data to analyze the expected value of the material; wherein the material offset analysis method is used to analyze the expected value of the material in the data features of each monitoring data;

[0010] Step 4): Store the data features of each recorded monitoring data.

[0011] Optionally, in step 1), after respectively acquiring the monitoring data during the material loading and unloading processes, the monitoring data of the material loading and the monitoring data of the material unloading are separated.

[0012] Optionally, in step 1), a data vector method is used to respectively record the data features of the monitoring data of material loading and the data features of the monitoring data of material unloading, and the data vector method is the following steps:

[0013] Step a): recording the material offset at each height position during the material loading process, and using the material offset at each height position during the material loading process as a data feature of the monitoring data of the material loading;

[0014] Step b): recording the material offset at each height position during the material unloading process, and using the material offset at each height position during the material unloading process as a data feature of the monitoring data of the material unloading;

[0015] Step c): combining the data features of the monitoring data of material loading and the data features of the monitoring data of material unloading into a resultant vector.

[0016] Optionally, in step 1), a data vector method is used to respectively record the data characteristics of the monitoring data of material loading and the data characteristics of the monitoring data of material unloading. The data vector method is the following formula (1) to formula (3):

[0017] (1);

[0018] (2);

[0019] (3);

[0020] In formula (1), is the combined vector of the data features of the monitoring data of material loading and the data features of the monitoring data of material unloading, is the data feature vector of the monitoring data of material feeding, It is the data feature vector of the monitoring data of material unloading;

[0021] In formula (2), The first Height position, The direction of material feeding. The first Material offset at height position, is the material offset calculation function, The height position of the material during loading has indivual, It is the material offset at each height position during the material loading process; To record the material offset at each height position during the material loading process, A function for recording the material offset at each height position during the material loading process;

[0022] The first Height position, The direction of material discharge. The first Material offset at height position, is the material offset calculation function, The height position of the material during unloading indivual, It is the material offset at each height position during material unloading; To record the material displacement at each height position during material unloading, It is a function for recording the material offset at each height position during the material unloading process.

[0023] Optionally, in step 2), the linear vector point method adopts the following formula (4):

[0024] (4);

[0025] (5);

[0026] (6);

[0027] In formula (4), and A data feature vector for selecting monitoring data of material loading or a data feature vector for monitoring data of material unloading; The selection result of the data feature vector of the monitoring data of material loading or the data feature vector of the monitoring data of material unloading;

[0028] In formula (5), is the data feature vector of the monitoring data of material feeding, is the data feature vector benchmark for monitoring data, Comparison of the data feature vector of the monitoring data of material loading with the data feature vector benchmark of the monitoring data, The comparison result of the data feature vector of the monitoring data of the material loading and the data feature vector benchmark of the monitoring data;

[0029] is the data feature vector of the monitoring data of material unloading, Comparison of the data feature vector of the monitoring data of material unloading with the data feature vector benchmark of the monitoring data, It is the comparison result between the data feature vector of the monitoring data of material unloading and the data feature vector benchmark of the monitoring data.

[0030] Optionally, in step 2), the linear vector point method adopts the following steps:

[0031] Step A): selecting a data feature vector of monitoring data of material loading or a data feature vector of monitoring data of material unloading;

[0032] Step B): comparing the data feature vector of the monitoring data of material feeding with the data feature vector benchmark of the monitoring data; if the data feature vector of the monitoring data of material feeding is parallel to the data feature vector benchmark of the monitoring data, then the data feature vector of the monitoring data of material feeding does not shift or deviate; otherwise, the data feature vector of the monitoring data of material feeding shifts or deviates;

[0033] Step C): compare the data feature vector of the monitoring data of material unloading with the data feature vector benchmark of the monitoring data. If the data feature vector of the monitoring data of material unloading is parallel to the data feature vector benchmark of the monitoring data, the data feature vector of the monitoring data of material unloading does not shift or offset. Otherwise, the data feature vector of the monitoring data of material unloading does shift or offset.

[0034] Optionally, in step 3), the material shift analysis method uses the following formula (7):

[0035] (7);

[0036] in, Comparison of a data feature vector of monitoring data for material loading with a data feature vector benchmark of monitoring data; Comparison of a data feature vector of monitoring data for material unloading with a data feature vector benchmark of monitoring data; The displacement offset between the data feature vector of the monitoring data of material loading and the data feature vector of the monitoring data of material unloading after the data feature vector of the monitoring data of material unloading is compared with the data feature vector benchmark of the monitoring data respectively; A connection between a data feature vector representing monitoring data of material loading and a data feature vector representing monitoring data of material unloading;

[0037] After comparing the data feature vector of the monitoring data of material loading and the data feature vector of the monitoring data of material unloading with the data feature vector benchmark of the monitoring data, the displacement offset between the data feature vector of the monitoring data of material loading and the data feature vector of the monitoring data of material unloading is analyzed. It is a function for analyzing the displacement offset between the data feature vector of the monitoring data of material loading and the data feature vector of the monitoring data of material unloading.

[0038] Optionally, in step 3), the material shift analysis method adopts the following steps:

[0039] Step 00): comparing the data feature vector of the monitoring data of material loading and the data feature vector of the monitoring data of material unloading with the data feature vector benchmark of the monitoring data respectively;

[0040] Step 01): Analyze and compare the displacement offset between the data feature vector of the monitoring data of material loading and the data feature vector of the monitoring data of material unloading.

[0041] Optionally, in step 4), the data features of the monitoring data of material loading and the data features of the monitoring data of material unloading are stored separately or combined for storage.

[0042] Beneficial effects of the present invention:

[0043] 1. The present invention records the data features of each monitoring data through the data vector method, analyzes the data features of each recorded monitoring data through the linear vector point method according to the data features of each recorded monitoring data, and realizes material offset monitoring for material loading and unloading respectively by recording and analyzing the data feature vectors of the monitoring data of material loading and the data feature vectors of the monitoring data of material unloading.

[0044] 2. The present invention analyzes the material expected value in the data characteristics of each monitoring data through the material offset analysis method, that is, after the data feature vector of the monitoring data of material loading and the data feature vector of the monitoring data of material unloading are compared with the data feature vector benchmark of the monitoring data respectively, the displacement offset between the data feature vector of the monitoring data of material loading and the data feature vector of the monitoring data of material unloading is analyzed, that is, whether the data feature vector of the monitoring data of material loading is perpendicular to the horizontal plane or parallel to the vertical line, and whether the data feature vector of the monitoring data of material unloading is perpendicular to the horizontal plane or parallel to the vertical line. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0046] Figure 1 It is a schematic diagram of the workflow of the present invention;

[0047] Figure 2 It is a schematic diagram of the combined vector of the data features of the monitoring data of material loading and the data features of the monitoring data of material unloading according to the present invention. DETAILED DESCRIPTION

[0048] The embodiments of the present application are described in detail below with reference to the accompanying drawings.

[0049] Embodiment 1;

[0050] like Figure 1 As shown, this embodiment provides a method for monitoring accurate loading and unloading of materials, comprising the following steps:

[0051] Step 1): respectively obtain monitoring data during the material loading and unloading process, and record the data characteristics of each monitoring data using the data vector method;

[0052] Step 2): Analyze the data characteristics of each recorded monitoring data by linear vector point method according to the data characteristics of each recorded monitoring data;

[0053] Step 3): using the data features of each recorded monitoring data to analyze the expected value of the material; wherein the material offset analysis method is used to analyze the expected value of the material in the data features of each monitoring data;

[0054] Step 4): Store the data features of each recorded monitoring data.

[0055] Specifically, in step 1), after respectively acquiring the monitoring data during the material loading and unloading processes, the monitoring data of the material loading and the monitoring data of the material unloading are separated.

[0056] Furthermore, in step 1), the data characteristics of the monitoring data of material loading and the data characteristics of the monitoring data of material unloading are recorded respectively by using the data vector method, and the data vector method comprises the following steps:

[0057] Step a): recording the material offset at each height position during the material loading process (i.e., the offset of the material movement direction at each height position being perpendicular to the vertical movement), and using the material offset at each height position during the material loading process as the data feature of the monitoring data of the material loading;

[0058] Step b): recording the material offset at each height position during the material unloading process (i.e., the offset of the material movement direction at each height position being perpendicular to the vertical movement), and using the material offset at each height position during the material unloading process as a data feature of the monitoring data of the material unloading;

[0059] Step c): combining the data features of the monitoring data of material loading and the data features of the monitoring data of material unloading into a resultant vector.

[0060] In step 1), the data vector method is used to respectively record the data characteristics of the monitoring data of material loading and the data characteristics of the monitoring data of material unloading. The data vector method is the following formula (1)-formula (3):

[0061] (1);

[0062] (2);

[0063] (3);

[0064] In formula (1), is the combined vector of the data features of the monitoring data of material loading and the data features of the monitoring data of material unloading, is the data feature vector of the monitoring data of material feeding, It is the data feature vector of the monitoring data of material unloading;

[0065] In formula (2), The first Height position, The direction of material feeding. The first Material offset at height position, is the material offset calculation function, The height position of the material during loading has indivual, It is the material offset at each height position during the material loading process; To record the material offset at each height position during the material loading process, A function for recording the material offset at each height position during the material loading process;

[0066] The first Height position, The direction of material discharge. The first Material offset at height position, is the material offset calculation function, The height position of the material during unloading indivual, It is the material offset at each height position during material unloading; To record the material displacement at each height position during material unloading, It is a function for recording the material offset at each height position during the material unloading process.

[0067] In step 2), the linear vector point method uses the following formula (4):

[0068] (4);

[0069] (5);

[0070] (6);

[0071] In formula (4), and A data feature vector for selecting monitoring data of material loading or a data feature vector for monitoring data of material unloading; The selection result of the data feature vector of the monitoring data of material loading or the data feature vector of the monitoring data of material unloading;

[0072] In formula (5), is the data feature vector of the monitoring data of material feeding, is the data feature vector reference of the monitoring data (i.e. the straight line perpendicular to the horizontal plane), Comparison of the data feature vector of the monitoring data of material loading with the data feature vector benchmark of the monitoring data, The comparison result of the data feature vector of the monitoring data of the material loading and the data feature vector benchmark of the monitoring data;

[0073] is the data feature vector of the monitoring data of material unloading, Comparison of the data feature vector of the monitoring data of material unloading with the data feature vector benchmark of the monitoring data, It is the comparison result between the data feature vector of the monitoring data of material unloading and the data feature vector benchmark of the monitoring data.

[0074] In addition, in step 2), the linear vector point method adopts the following steps:

[0075] Step A): selecting a data feature vector of monitoring data of material loading or a data feature vector of monitoring data of material unloading;

[0076] Step B): comparing the data feature vector of the monitoring data of material feeding with the data feature vector benchmark of the monitoring data; if the data feature vector of the monitoring data of material feeding is parallel to the data feature vector benchmark of the monitoring data, then the data feature vector of the monitoring data of material feeding does not shift or deviate; otherwise, the data feature vector of the monitoring data of material feeding shifts or deviates;

[0077] Step C): compare the data feature vector of the monitoring data of material unloading with the data feature vector benchmark of the monitoring data. If the data feature vector of the monitoring data of material unloading is parallel to the data feature vector benchmark of the monitoring data, the data feature vector of the monitoring data of material unloading does not shift or offset. Otherwise, the data feature vector of the monitoring data of material unloading does shift or offset.

[0078] In step 3), the material shift analysis method uses the following formula (7):

[0079] (7);

[0080] in, Comparison of a data feature vector of monitoring data for material loading with a data feature vector benchmark of monitoring data; Comparison of a data feature vector of monitoring data for material unloading with a data feature vector benchmark of monitoring data; The displacement offset between the data feature vector of the monitoring data of material loading and the data feature vector of the monitoring data of material unloading after the data feature vector of the monitoring data of material unloading is compared with the data feature vector benchmark of the monitoring data respectively; The connection between the data feature vector representing the monitoring data of material loading and the data feature vector representing the monitoring data of material unloading (i.e., the data feature vector representing the monitoring data of material unloading is connected to the data feature vector representing the monitoring data of material loading);

[0081] After comparing the data feature vector of the monitoring data of material loading and the data feature vector of the monitoring data of material unloading with the data feature vector benchmark of the monitoring data, the displacement offset between the data feature vector of the monitoring data of material loading and the data feature vector of the monitoring data of material unloading is analyzed. It is a function for analyzing the displacement offset between the data feature vector of the monitoring data of material loading and the data feature vector of the monitoring data of material unloading.

[0082] In addition, in step 3), the material shift analysis method adopts the following steps:

[0083] Step 00): comparing the data feature vector of the monitoring data of material loading and the data feature vector of the monitoring data of material unloading with the data feature vector benchmark of the monitoring data respectively;

[0084] Step 01): Analyze and compare the displacement offset between the data feature vector of the monitoring data of material loading and the data feature vector of the monitoring data of material unloading.

[0085] In step 4), the data features of the monitoring data of material loading and the data features of the monitoring data of material unloading are stored separately or combined for storage.

[0086] Embodiment 2;

[0087] Based on Example 1, Figure 2 As shown, Figure 2 The left side is the data feature vector of the monitoring data of material feeding , Figure 2 The right side is the data feature vector of the monitoring data of material unloading ,entire Figure 2 It is the combined vector of the data features of the monitoring data of material loading and the data features of the monitoring data of material unloading ( Figure 2 of The data feature vector representing the monitoring data of material unloading is connected to the data feature vector of the monitoring data of material loading).

[0088] Step a) of Example 1 records the material loading process to The material offset at each height position. Here, the material offset at each height position is to The displacement of the material movement direction at each height position represented by the vertical direction. Figure 2 Left The bottom end for material feeding.

[0089] Similarly, step b): record the material unloading process to The material offset at each height position. Here, the material offset at each height position is to The displacement of the material movement direction at each height position represented by the vertical direction. Figure 2 Right side It is the top of the material discharge.

[0090] Embodiment 3;

[0091] Based on Example 1, Figure 2 As shown, is the data feature vector of the monitoring data of material feeding, is the data feature vector benchmark of the monitoring data (i.e. is perpendicular to the horizontal plane), through The data feature vector of the monitoring data of material feeding is compared with the data feature vector benchmark of the monitoring data. Generally perpendicular to the horizontal plane or parallel to the vertical line;

[0092] Similarly, is the data feature vector of the monitoring data of material unloading, through The data feature vector of the monitoring data of material unloading is compared with the data feature vector benchmark of the monitoring data. It is usually perpendicular to the horizontal plane or parallel to the vertical line.

[0093] Embodiment 4;

[0094] Based on Example 1, Figure 2 As shown in formula (7), The data feature vector of the monitoring data of material feeding , data feature vector of material unloading monitoring data The data feature vector benchmarks of the monitoring data are After comparison, the data feature vector of the monitoring data of material feeding is analyzed The data feature vector of the monitoring data of material unloading The displacement offset between them; then analyze the data feature vector of the monitoring data of material feeding Whether it is perpendicular to the horizontal plane or parallel to the vertical line, and then analyze the data feature vector of the monitoring data of material unloading Whether it is perpendicular to the horizontal plane or parallel to the vertical line.

[0095] Embodiment 5;

[0096] Based on all the above embodiments, the present invention uses the material deviation analysis method to monitor the material feeding and material discharging to the expected value, that is, the data feature vector of the monitoring data of the material feeding. Data feature vector benchmark with monitoring data In parallel, the data feature vector of the monitoring data of material unloading Data feature vector benchmark with monitoring data parallel.

[0097] By recording the data feature vector of the monitoring data of material loading The data feature vector of the monitoring data of material unloading , the material deviation monitoring is realized for the material loading and unloading respectively.

[0098] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope of the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for monitoring accurate loading and unloading of materials, characterized in that: The steps include: Step 1): respectively obtain monitoring data during the material loading and unloading process, and record the data characteristics of each monitoring data using the data vector method; Wherein, in the step 1), after respectively acquiring the monitoring data during the material loading and unloading process, the monitoring data of the material loading and the monitoring data of the material unloading are separated; The data vector method is used to respectively record the data features of the monitoring data of the material loading and the data features of the monitoring data of the material unloading. The data vector method comprises the following steps: Step a): recording the material offset at each height position during the material loading process, and using the material offset at each height position during the material loading process as a data feature of the monitoring data of the material loading; Step b): recording the material offset at each height position during the material unloading process, and using the material offset at each height position during the material unloading process as a data feature of the monitoring data of the material unloading; Step c): combining the data features of the monitoring data of material loading and the data features of the monitoring data of material unloading into a resultant vector; Step 2): Analyze the data characteristics of each recorded monitoring data by linear vector point method according to the data characteristics of each recorded monitoring data; Wherein, in the step 2), the linear vector point method adopts the following steps: Step A): selecting a data feature vector of monitoring data of material loading or a data feature vector of monitoring data of material unloading; Step B): comparing the data feature vector of the monitoring data of the material feeding with the data feature vector benchmark of the monitoring data; if the data feature vector of the monitoring data of the material feeding is parallel to the data feature vector benchmark of the monitoring data, the data feature vector of the monitoring data of the material feeding does not shift or deviate; otherwise, the data feature vector of the monitoring data of the material feeding does shift or deviate; Step C): comparing the data feature vector of the monitoring data of material unloading with the data feature vector benchmark of the monitoring data; if the data feature vector of the monitoring data of material unloading is parallel to the data feature vector benchmark of the monitoring data, then the data feature vector of the monitoring data of material unloading does not shift or deviate; otherwise, the data feature vector of the monitoring data of material unloading does shift or deviate; Step 3): using the data features of each recorded monitoring data to analyze the expected value of the material; wherein the material offset analysis method is used to analyze the expected value of the material in the data features of each monitoring data; Wherein, in the step 3), the material shift analysis method adopts the following steps: Step 00): comparing the data feature vector of the monitoring data of material loading and the data feature vector of the monitoring data of material unloading with the data feature vector benchmark of the monitoring data respectively; Step 01): Analyze the displacement offset between the data feature vector of the monitoring data of material loading and the data feature vector of the monitoring data of material unloading after comparison; Step 4): Store the data features of each recorded monitoring data.

2. The method for monitoring accurate loading and unloading of materials according to claim 1, characterized in that: In the step 1), the data vector method is used to respectively record the data characteristics of the monitoring data of the material loading and the data characteristics of the monitoring data of the material unloading. The data vector method is the following formula (1) to formula (3): (1)； (2)； (3)； In formula (1), is the combined vector of the data features of the monitoring data of material loading and the data features of the monitoring data of material unloading, is the data feature vector of the monitoring data of material feeding, It is the data feature vector of the monitoring data of material unloading; In formula (2), The first Height position, The direction of material feeding. The first Material offset at height, is the material offset calculation function, The height position of the material during loading has indivual, It is the material offset at each height position during the material loading process; To record the material offset at each height position during the material loading process, A function for recording the material offset at each height position during the material loading process; The first Height position, The direction of material discharge. The first Material offset at height, is the material offset calculation function, The height position of the material during unloading indivual, It is the material offset at each height position during material unloading; To record the material displacement at each height position during material unloading, It is a function for recording the material offset at each height position during the material unloading process.

3. The method for monitoring accurate loading and unloading of materials according to claim 1, characterized in that: In step 2), the linear vector point method adopts the following formula (4): (4)； (5)； (6)； In formula (4), and A data feature vector for selecting monitoring data of material loading or a data feature vector for monitoring data of material unloading; The selection result of the data feature vector of the monitoring data of material loading or the data feature vector of the monitoring data of material unloading; In formula (5), is the data feature vector of the monitoring data of material feeding, is the data feature vector benchmark for monitoring data, Comparison of the data feature vector of the monitoring data of material loading with the data feature vector benchmark of the monitoring data, The comparison result of the data feature vector of the monitoring data of the material loading and the data feature vector benchmark of the monitoring data; is the data feature vector of the monitoring data of material unloading, Comparison of the data feature vector of the monitoring data of material unloading with the data feature vector benchmark of the monitoring data, It is the comparison result between the data feature vector of the monitoring data of material unloading and the data feature vector benchmark of the monitoring data.

4. The method for monitoring accurate loading and unloading of materials according to claim 1, characterized in that: In the step 3), the material shift analysis method adopts the following formula (7): (7)； in, Comparison of a data feature vector of monitoring data for material loading with a data feature vector benchmark of monitoring data; Comparison of a data feature vector of monitoring data for material unloading with a data feature vector benchmark of monitoring data; The displacement offset between the data feature vector of the monitoring data of material loading and the data feature vector of the monitoring data of material unloading after the data feature vector of the monitoring data of material unloading is compared with the data feature vector benchmark of the monitoring data respectively; A connection between a data feature vector representing monitoring data of material loading and a data feature vector representing monitoring data of material unloading; After comparing the data feature vector of the monitoring data of material loading and the data feature vector of the monitoring data of material unloading with the data feature vector benchmark of the monitoring data, the displacement offset between the data feature vector of the monitoring data of material loading and the data feature vector of the monitoring data of material unloading is analyzed. It is a function for analyzing the displacement offset between the data feature vector of the monitoring data of material loading and the data feature vector of the monitoring data of material unloading.

5. The method for monitoring accurate loading and unloading of materials according to claim 1, characterized in that: In the step 4), the data features of the monitoring data of material loading and the data features of the monitoring data of material unloading are stored separately or combined for storage.

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