Far infrared grain temperature scanning imaging monitoring system

Abstract

The invention belongs to the field of grain storage management, and particularly discloses a far infrared grain temperature scanning imaging monitoring system which comprises a three-dimensional model unit, a far infrared scanning unit, a data processing unit, an imaging positioning unit and a management early warning unit. The area and spatial characteristics of the granary are determined by establishing the three-dimensional coordinate model in the granary, then the positions and the number of the far infrared scanning point positions are planned so as to monitor grains in the granary without dead angles and improve the monitoring effect, the far infrared scanning unit scans the grains in the granary and judges whether the temperature of the grains in the area is abnormal or not, and the monitoring effect is improved. And a three-dimensional temperature distribution diagram is obtained, so that personnel can conveniently and intuitively know the temperature distribution condition in the grain so as to quickly judge and process the abnormal position of a heat source, and a thermal imaging diagram is generated and specially marked, so that the heating condition of the grain in the granary can be intuitively found without dead angles.

Description

Technical Field

[0001] The invention belongs to the field of grain storage management, and in particular relates to a far-infrared grain temperature scanning imaging monitoring system. Background Art

[0002] A grain depot refers to a facility used to store grain, which is generally divided into national grain depots and local grain depots. The main function of a grain depot is to ensure the safe storage of grain, prevent grain waste and deterioration, and provide a stable supply when there is a shortage of grain. The grain in the depot usually includes major grain crops such as rice, wheat, and corn.

[0003] When grain is stored in a grain warehouse, excessively high temperature will cause the grain to mold and deteriorate, which in turn leads to food waste. Therefore, it is necessary to monitor the temperature of the grain in the grain warehouse.

[0004] Traditionally, buried multi-point electronic temperature measuring devices are usually used to monitor the temperature of grain. That is, multiple thermometers are evenly installed on a pole and inserted into the grain pile for temperature measurement. However, due to the large size of the grain warehouse, more data from the buried multi-point electronic temperature measuring devices is required, and there are still many blind spots due to the dense insertion. At the same time, it is impossible to intuitively display the grain conditions in places with abnormal temperatures, which is not conducive to personnel management. Summary of the invention

[0005] The purpose of the present invention is to provide a far-infrared grain temperature scanning imaging monitoring system to solve the problems raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A far-infrared grain temperature scanning imaging monitoring system, comprising a three-dimensional model unit, a far-infrared scanning unit, a data processing unit, an imaging positioning unit and a management and early warning unit;

[0008] The three-dimensional model unit is used to establish a three-dimensional coordinate model of the interior of the granary;

[0009] The far-infrared scanning unit is used to obtain temperature data on the surface and bottom of the stored grain;

[0010] The data processing unit is used to process the temperature data of the surface and bottom of the stored grain to obtain processed temperature data, and to determine whether the processed temperature data is abnormal to obtain an abnormal temperature area;

[0011] The imaging positioning unit is used to generate a three-dimensional temperature distribution map by combining the three-dimensional coordinate model with the processed temperature data, and to generate a thermal image of the temperature abnormality area;

[0012] The management and early warning unit is used for storage and management of system data, and issues early warning instructions when the abnormal temperature area appears.

[0013] Preferably, the far-infrared scanning unit includes a scanning point quantity planning module, a scanning point position planning module and a sensor;

[0014] The scanning point quantity planning module is used to plan the number of sensors according to the detection range of the sensors and the three-dimensional coordinate model;

[0015] The scanning point position planning module is used to optimize the scanning point positions according to the number of sensors and the three-dimensional coordinate model;

[0016] The sensor is used to detect the temperature data of the surface and bottom of the stored grain.

[0017] Preferably, the scanning point quantity planning module uses the following formula for quantity planning:

[0018]

[0019] Where N is the number of sensors, A is the area of ​​the granary, πR 2 is the detection range of the sensor.

[0020] Preferably, the sensor uses the following formula for temperature detection:

[0021]

[0022] Where T(x, y, z) is the temperature of the coordinate point, E IR is the infrared radiation energy of the object at the coordinate point measured by the sensor, σ is the Stefan-Boltzmann constant, and A is the detection range of the sensor.

[0023] Preferably, the data processing unit includes a data processing module, a temperature anomaly judgment module and a temperature prediction module;

[0024] The temperature prediction module is used to predict the temperature data of the surface and bottom of the stored grain at the undetected position points around the detected position points based on the temperature data of the surface and bottom of the stored grain at the detected position points;

[0025] The data processing module is used to calibrate the temperature data of the surface and bottom of all the stored grains, eliminate data errors and temperature drifts, and obtain the processed temperature data;

[0026] The temperature anomaly judgment module is used to judge whether the processed temperature data is abnormal.

[0027] Preferably, the temperature anomaly judgment module is used to determine whether there is an abnormality by comparing the preset temperature threshold with the processed temperature data through a preset temperature threshold.

[0028] Preferably, the temperature prediction module uses a bilinear interpolation algorithm to predict the temperature data of the surface and bottom of the stored grain at undetected location points.

[0029] Preferably, the imaging positioning unit is used for:

[0030] By integrating the three-dimensional coordinate model with the processed temperature data, a data set including spatial positions and corresponding temperatures is formed;

[0031] Constructing a three-dimensional grid, determining a boundary of the three-dimensional grid according to the shape of the three-dimensional coordinate model, and dividing the three-dimensional grid into a plurality of voxels according to the spatial characteristics of the three-dimensional coordinate model;

[0032] The data set is filled into the voxels to generate the three-dimensional temperature distribution map, the temperature abnormality area is marked and a thermal image is generated.

[0033] Preferably, the management and early warning unit includes a data storage module and an early warning module;

[0034] The data storage module is used to store the data obtained by each unit of the system;

[0035] The early warning module is used to issue an early warning instruction when the abnormal temperature area appears.

[0036] Preferably, the three-dimensional positioning unit generates the three-dimensional coordinate model according to the length, width and height of the granary.

[0037] Compared with the prior art, the present invention has the following beneficial effects:

[0038] The present invention determines the area and spatial characteristics of the granary by establishing a three-dimensional coordinate model inside the granary, and then plans the position and number of far-infrared scanning points to monitor the grain in the granary without blind spots and improve the monitoring effect. The far-infrared scanning unit can use a far-infrared scanning imager to scan the grain in the granary, and the obtained temperature data will be transmitted to the data processing unit for processing to determine whether the grain temperature in the area is abnormal, and obtain a three-dimensional temperature distribution map, so that personnel can intuitively know the temperature distribution in the grain, so as to quickly determine the abnormal heat source and process it, and generate a thermal imaging map for special marking, so that personnel can check the grain situation in the area, and can intuitively and without blind spots find the heating situation of the grain in the granary, which is convenient for the staff's grain management work. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. 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 creative labor. Among them:

[0040] Figure 1 It is a block diagram of the system unit of the present invention. DETAILED DESCRIPTION

[0041] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0042] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0043] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0044] As attached Figure 1 As shown:

[0045] Embodiment 1: This embodiment provides a far-infrared grain temperature scanning imaging monitoring system, including a three-dimensional model unit, a far-infrared scanning unit, a data processing unit, an imaging positioning unit and a management and early warning unit;

[0046] The three-dimensional model unit is used to establish a three-dimensional coordinate model of the interior of the granary;

[0047] The far-infrared scanning unit is used to obtain temperature data on the surface and bottom of the stored grain;

[0048] The data processing unit is used to process the temperature data of the surface and bottom of the stored grain to obtain processed temperature data, and to determine whether the processed temperature data is abnormal to obtain an abnormal temperature area;

[0049] The imaging positioning unit is used to generate a three-dimensional temperature distribution map by combining the three-dimensional coordinate model with the processed temperature data, and to generate a thermal image of the temperature abnormality area;

[0050] The management and early warning unit is used for storage and management of system data, and issues early warning instructions when the abnormal temperature area appears.

[0051] As can be seen from the above, by establishing a three-dimensional coordinate model inside the granary to determine the area and spatial characteristics of the granary, and then planning the location and number of far-infrared scanning points, the grain in the granary can be monitored without blind spots to improve the monitoring effect. The far-infrared scanning unit can use a far-infrared scanning imager to scan the grain in the granary, and the obtained temperature data will be transmitted to the data processing unit for processing to determine whether the grain temperature in the area is abnormal, and the processed temperature data will be transmitted to the imaging positioning unit. The imaging positioning unit will combine the temperature data of all grain areas in the granary with the three-dimensional coordinate model to obtain a three-dimensional temperature distribution map, which is convenient for personnel to intuitively know the temperature distribution in the grain, so as to quickly determine the abnormal heat source and process it, and the grain area determined by the data processing unit as the temperature abnormal area is specially marked on the three-dimensional temperature distribution map to generate a thermal imaging map, which is convenient for personnel to check the grain situation in the area;

[0052] The heating condition of grain in the granary can be detected intuitively and without blind spots, which is convenient for the staff to manage grain.

[0053] Embodiment 2: This embodiment provides a far-infrared grain temperature scanning imaging monitoring system, including a three-dimensional model unit, a far-infrared scanning unit, a data processing unit, an imaging positioning unit and a management and early warning unit;

[0054] The three-dimensional model unit is used to establish a three-dimensional coordinate model of the interior of the granary;

[0055] The far-infrared scanning unit is used to obtain temperature data on the surface and bottom of the stored grain;

[0056] The data processing unit is used to process the temperature data of the surface and bottom of the stored grain to obtain processed temperature data, and to determine whether the processed temperature data is abnormal to obtain an abnormal temperature area;

[0057] The imaging positioning unit is used to generate a three-dimensional temperature distribution map by combining the three-dimensional coordinate model with the processed temperature data, and to generate a thermal image of the temperature abnormality area;

[0058] The management and early warning unit is used for storage and management of system data, and issues early warning instructions when the abnormal temperature area appears.

[0059] Specifically, the far-infrared scanning unit includes a scanning point quantity planning module, a scanning point position planning module and a sensor;

[0060] The scanning point quantity planning module is used to plan the number of sensors according to the detection range of the sensors and the three-dimensional coordinate model;

[0061] The scanning point position planning module is used to optimize the scanning point positions according to the number of sensors and the three-dimensional coordinate model;

[0062] The sensor is used to detect the temperature data of the surface and bottom of the stored grain.

[0063] Specifically, the scanning point quantity planning module uses the following formula for quantity planning:

[0064]

[0065] Where N is the number of sensors, A is the area of ​​the granary, πR 2 is the detection range of the sensor.

[0066] Specifically, the sensor uses the following formula for temperature detection:

[0067]

[0068] Where T(x, y, z) is the temperature of the coordinate point, E IR is the infrared radiation energy of the object at the coordinate point measured by the sensor, σ is the Stefan-Boltzmann constant, and A is the detection range of the sensor.

[0069] Specifically, the imaging positioning unit is used for:

[0070] By integrating the three-dimensional coordinate model with the processed temperature data, a data set including spatial positions and corresponding temperatures is formed;

[0071] Constructing a three-dimensional grid, determining a boundary of the three-dimensional grid according to the shape of the three-dimensional coordinate model, and dividing the three-dimensional grid into a plurality of voxels according to the spatial characteristics of the three-dimensional coordinate model;

[0072] The data set is filled into the voxels to generate the three-dimensional temperature distribution map, the temperature abnormality area is marked and a thermal image is generated.

[0073] Specifically, the management and early warning unit includes a data storage module and an early warning module;

[0074] The data storage module is used to store the data obtained by each unit of the system;

[0075] The early warning module is used to issue an early warning instruction when the abnormal temperature area appears.

[0076] Specifically, the three-dimensional positioning unit generates a three-dimensional coordinate model according to the length, width and height of the granary.

[0077] As can be seen from the above, after obtaining the number of far-infrared scanning modules according to the area of ​​the granary, half of the far-infrared scanning modules are added. Since the internal space of the granary and the detection range of the far-infrared scanning module are usually the center of the circle, after the scanning point position planning module optimizes the working position of the far-infrared scanning module, the additional far-infrared scanning module can be set between two adjacent far-infrared scanning modules, so that the detection range edges of adjacent far-infrared scanning modules overlap, avoiding detection blind spots;

[0078] By filling the data set containing the spatial position and the corresponding temperature into several voxels of the three-dimensional grid, it is convenient for the staff to easily and intuitively check the temperature of grain in any area of ​​the granary, and to check the temperature distribution to understand the heat source in the granary. By comparing the overall temperature distribution, suspicious heat sources at the temperature increase point can be eliminated to reduce the risk of grain mold.

[0079] Embodiment 3: This embodiment provides a far-infrared grain temperature scanning imaging monitoring system, including a three-dimensional model unit, a far-infrared scanning unit, a data processing unit, an imaging positioning unit and a management and early warning unit;

[0080] The three-dimensional model unit is used to establish a three-dimensional coordinate model of the interior of the granary;

[0081] The far-infrared scanning unit is used to obtain temperature data on the surface and bottom of the stored grain;

[0082] The data processing unit is used to process the temperature data of the surface and bottom of the stored grain to obtain processed temperature data, and to determine whether the processed temperature data is abnormal to obtain an abnormal temperature area;

[0083] The imaging positioning unit is used to generate a three-dimensional temperature distribution map by combining the three-dimensional coordinate model with the processed temperature data, and to generate a thermal image of the temperature abnormality area;

[0084] The management and early warning unit is used for storage and management of system data, and issues early warning instructions when the abnormal temperature area appears.

[0085] Specifically, the far-infrared scanning unit includes a scanning point quantity planning module, a scanning point position planning module and a sensor;

[0086] The scanning point quantity planning module is used to plan the number of sensors according to the detection range of the sensors and the three-dimensional coordinate model;

[0087] The scanning point position planning module is used to optimize the scanning point positions according to the number of sensors and the three-dimensional coordinate model;

[0088] The sensor is used to detect the temperature data of the surface and bottom of the stored grain.

[0089] Specifically, the scanning point quantity planning module uses the following formula for quantity planning:

[0090]

[0091] Where N is the number of sensors, A is the area of ​​the granary, πR 2 is the detection range of the sensor.

[0092] Specifically, the sensor uses the following formula for temperature detection:

[0093]

[0094] Where T(x, y, z) is the temperature of the coordinate point, E IR is the infrared radiation energy of the object at the coordinate point measured by the sensor, σ is the Stefan-Boltzmann constant, and A is the detection range of the sensor.

[0095] Specifically, the data processing unit includes a data processing module, a temperature anomaly judgment module and a temperature prediction module;

[0096] The temperature prediction module is used to predict the temperature data of the surface and bottom of the stored grain at the undetected position points around the detected position points based on the temperature data of the surface and bottom of the stored grain at the detected position points;

[0097] The data processing module is used to calibrate the temperature data of the surface and bottom of all the stored grains, eliminate data errors and temperature drifts, and obtain the processed temperature data;

[0098] The temperature anomaly judgment module is used to judge whether the processed temperature data is abnormal;

[0099] The temperature prediction module is used to predict the temperature values ​​of undetected locations around the detected locations based on the temperature values ​​of grain at the detected locations.

[0100] Specifically, the temperature anomaly judgment module is used to determine whether an abnormality occurs by comparing the preset temperature threshold with the processed temperature data through a preset temperature threshold.

[0101] Specifically, the temperature prediction module uses a bilinear interpolation algorithm to predict the temperature data of the surface and bottom of the stored grain at the undetected position point. The formula is as follows: T(x, y) = T 11 (1-x)(1-y)+T 12 x(1-y)+T 21 (1-x)y+T 22 xy,

[0102] Where T(x, y) is the temperature value interpolated at the point (x, y), that is, the predicted temperature value of the undetected location, T 11 、T 12 、T 21 、T 22 is the temperature value of the four nearest neighboring points, that is, the temperature value of the detected points around the undetected point, where T 11 is the temperature of the upper left point, T 12 is the temperature of the upper right point, T 21 is the temperature of the lower left point, T 22 is the temperature of the lower right point.

[0103] Specifically, the imaging positioning unit forms a data set including spatial positions and corresponding temperatures by integrating the three-dimensional coordinate model with the processed temperature data;

[0104] Constructing a three-dimensional grid, determining the boundary of the three-dimensional grid according to the shape of the three-dimensional coordinate model, and dividing the three-dimensional grid into a number of voxels according to the spatial characteristics of the three-dimensional coordinate model;

[0105] The data set is filled into voxels to generate a 3D temperature distribution map, annotate temperature anomaly areas and generate thermal images.

[0106] Specifically, the management and early warning unit includes a data storage module and an early warning module;

[0107] A data storage module is used to store the data obtained by each unit of the system;

[0108] The early warning module is used to issue early warning instructions when an abnormal temperature area appears.

[0109] Specifically, the three-dimensional positioning unit generates a three-dimensional coordinate model according to the length, width and height of the granary.

[0110] From the above, it can be seen that by predicting the temperature data of adjacent undetected points through the temperature data of the detected position, the overall temperature detection speed of the system is greatly improved, and the blind spots that may appear at the edge of the detection range are eliminated. At the same time, by comparing the predicted data with the actual detection data, when the difference is large, it may indicate that the corresponding infrared scanning unit is damaged, thereby achieving a self-detection effect.

[0111] Importantly, it should be noted that the construction and arrangement of the present application shown in a plurality of different exemplary embodiments are only exemplary. Although only a few embodiments are described in detail in this disclosure, it should be readily understood by those who refer to this disclosure that many modifications are possible (e.g., the size, scale, structure, shape and proportion of various elements, and parameter values ​​(e.g., temperature, pressure, etc.), installation arrangement, use of materials, color, directional changes, etc.) without substantially departing from the novel teachings and advantages of the subject matter described in the application. For example, the element shown as integrally formed can be composed of multiple parts or elements, the position of the element can be inverted or otherwise changed, and the nature or number or position of the discrete element can be changed or changed. Therefore, all such modifications are intended to be included in the scope of the present invention. The order or sequence of any process or method steps can be changed or reordered according to alternative embodiments. In the claims, any "device plus function" clause is intended to cover the structure of performing the function described herein, and is not only structurally equivalent but also equivalent structure. Without departing from the scope of the present invention, other replacements, modifications, changes and omissions can be made in the design, operating conditions and arrangement of the exemplary embodiments. Therefore, the invention is not limited to a specific embodiment, but extends to numerous modifications still falling within the scope of the appended claims.

[0112] Additionally, in order to provide a concise description of exemplary embodiments, all features of an actual embodiment (ie, those features that are not relevant to the best mode presently contemplated for carrying out the invention or those that are not relevant to implementing the invention) may not be described.

[0113] It will be appreciated that in the development of any actual implementation, as in any engineering or design project, numerous implementation-specific decisions may be made. Such a development effort may be complex and time-consuming, but will be a routine task of design, fabrication, and production for those of ordinary skill having the benefit of this disclosure without undue experimentation.

[0114] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A far-infrared grain temperature scanning imaging monitoring system, characterized in that: It includes a three-dimensional model unit, a far-infrared scanning unit, a data processing unit, an imaging positioning unit and a management and early warning unit; The three-dimensional model unit is used to establish a three-dimensional coordinate model of the interior of the granary; The far-infrared scanning unit is used to obtain temperature data on the surface and bottom of the stored grain; The data processing unit is used to process the temperature data of the surface and bottom of the stored grain to obtain processed temperature data, and to determine whether the processed temperature data is abnormal to obtain an abnormal temperature area; The imaging positioning unit is used to generate a three-dimensional temperature distribution map by combining the three-dimensional coordinate model with the processed temperature data, and to generate a thermal image of the temperature abnormality area; The management and early warning unit is used for storage and management of system data, and issues early warning instructions when the abnormal temperature area appears.

2. The far-infrared grain temperature scanning imaging monitoring system according to claim 1 is characterized in that: The far-infrared scanning unit includes a scanning point quantity planning module, a scanning point position planning module and a sensor; The scanning point quantity planning module is used to plan the number of sensors according to the detection range of the sensors and the three-dimensional coordinate model; The scanning point position planning module is used to optimize the scanning point positions according to the number of sensors and the three-dimensional coordinate model; The sensor is used to detect the temperature data of the surface and bottom of the stored grain.

3. The far-infrared grain temperature scanning imaging monitoring system according to claim 2 is characterized in that: The scanning point quantity planning module uses the following formula for quantity planning: Where N is the number of sensors, A is the area of ​​the granary, πR 2 is the detection range of the sensor.

4. The far-infrared grain temperature scanning imaging monitoring system according to claim 2 is characterized in that: The sensor uses the following formula for temperature detection: Where T(x, y, z) is the temperature of the coordinate point, E IR is the infrared radiation energy of the object at the coordinate point measured by the sensor, σ is the Stefan-Boltzmann constant, and A is the detection range of the sensor.

5. The far-infrared grain temperature scanning imaging monitoring system according to claim 1 is characterized in that: The data processing unit includes a data processing module, a temperature anomaly judgment module and a temperature prediction module; The temperature prediction module is used to predict the temperature data of the surface and bottom of the stored grain at the undetected position points around the detected position points based on the temperature data of the surface and bottom of the stored grain at the detected position points; The data processing module is used to calibrate the temperature data of the surface and bottom of all the stored grains, eliminate data errors and temperature drifts, and obtain the processed temperature data; The temperature anomaly judgment module is used to judge whether the processed temperature data is abnormal.

6. The far-infrared grain temperature scanning imaging monitoring system according to claim 5 is characterized in that: The temperature anomaly judgment module is used to determine whether there is an abnormality by comparing the preset temperature threshold with the processed temperature data through a preset temperature threshold.

7. The far-infrared grain temperature scanning imaging monitoring system according to claim 5 is characterized in that: The temperature prediction module uses a bilinear interpolation algorithm to predict the temperature data of the surface and bottom of the stored grain at the undetected location points.

8. The far-infrared grain temperature scanning imaging monitoring system according to claim 1 is characterized in that: The imaging positioning unit is used for: By integrating the three-dimensional coordinate model with the processed temperature data, a data set including spatial positions and corresponding temperatures is formed; Constructing a three-dimensional grid, determining a boundary of the three-dimensional grid according to the shape of the three-dimensional coordinate model, and dividing the three-dimensional grid into a plurality of voxels according to the spatial characteristics of the three-dimensional coordinate model; The data set is filled into the voxels to generate the three-dimensional temperature distribution map, the temperature abnormality area is marked and a thermal image is generated.

9. The far-infrared grain temperature scanning imaging monitoring system according to claim 1 is characterized in that: The management and early warning unit includes a data storage module and an early warning module; The data storage module is used to store the data obtained by each unit of the system; The early warning module is used to issue an early warning instruction when the abnormal temperature area appears.

10. The far-infrared grain temperature scanning imaging monitoring system according to claim 1, characterized in that: The three-dimensional positioning unit generates the three-dimensional coordinate model according to the length, width and height of the granary.

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