CN113052399A - Temperature monitoring system, method and device, storage medium and electronic equipment - Google Patents
Temperature monitoring system, method and device, storage medium and electronic equipment Download PDFInfo
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Abstract
The invention provides a temperature monitoring system, a method, a device, a storage medium and an electronic device, wherein the system comprises: the system comprises an upper computer, distance measuring equipment and temperature measuring equipment; the upper computer measures the height of the top surface of the content stored in the container through distance measuring equipment, and determines alternative monitoring points matched with the height in the monitoring point set as target monitoring points; the upper computer measures the temperature of the top surface of the content through the temperature measuring equipment so as to obtain the temperature information of each target monitoring point at the current moment and obtain the state information of the container at the current moment; and the upper computer processes the temperature information of each target monitoring point and the container state information by applying a pre-constructed temperature prediction model of each target monitoring point to obtain the predicted temperature of each target monitoring point at the later moment. The temperature uncertainty caused by time consumption of spreading can be eliminated, so that the screening operation can be accurately guided, and the brewing quality and yield of the white spirit are improved.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a temperature monitoring system, a temperature monitoring method, a temperature monitoring device, a storage medium and electronic equipment.
Background
With the development of scientific technology, the automatic brewing technology has been developed, and during the brewing of various foods, the temperature of the brewed materials stored in the container is usually monitored, for example, during the brewing of white spirit, the temperature of fermented grains in the brewing tank needs to be monitored, so that the brewing operation can be guided based on the temperature.
The feeding into the retort is one of the most important processes of distillation, and requires 'steam detection feeding into the retort and thin-layer feeding', namely, a layer of thin cold material is spread when the steam front of the wine is about to escape from the surface of the fermented grains, so that the optimal ester dissolving condition is created, and the flavor substances are extracted to the maximum extent.
In the prior art, the temperature of the surface of fermented grains is usually monitored in real time through a temperature sensor, however, the spreading of cold materials needs time, so that the spreading time is difficult to accurately control, the situation of spreading materials in advance is easy to occur, the steam of wine cannot smoothly rise, the steam pressing phenomenon is caused, flavor substances cannot be effectively extracted, and the quality of white wine is influenced; or the spreading is delayed, so that wine steam escapes, the steam leakage phenomenon is caused, and the yield is reduced.
Disclosure of Invention
The invention aims to provide a temperature monitoring system, a temperature monitoring method, a temperature monitoring device, a storage medium and electronic equipment, which can avoid inaccurate control of spreading time.
In order to achieve the above object, the following solutions are proposed:
a temperature monitoring system, comprising:
the system comprises an upper computer, distance measuring equipment and temperature measuring equipment;
the upper computer measures the height of the top surface of the content stored in the container through the distance measuring equipment, and determines alternative monitoring points matched with the height in a preset monitoring point set as target monitoring points; wherein the position characterized by each alternative monitoring point in the set of monitoring points is in the storage space of the container;
the upper computer measures the temperature of the top surface of the content through the temperature measuring equipment so as to obtain the temperature information of each target monitoring point at the current moment and obtain the state information of the container at the current moment;
and the upper computer processes the temperature information of each target monitoring point at the current moment and the state information by using a pre-constructed temperature prediction model of each target monitoring point to obtain the predicted temperature of each target monitoring point at the next moment after the current moment.
A method of temperature monitoring, comprising:
acquiring temperature information of each target monitoring point at the current moment and state information of a container at the current moment; wherein the location characterized by each of the target monitoring points is in the storage space of the container and matches the height of the top surface of the contents stored in the container;
and applying a pre-constructed temperature prediction model of each target monitoring point, and processing the temperature information and the state information of each target monitoring point at the current moment to obtain the predicted temperature of each target monitoring point at the moment after the current moment.
Optionally, the obtaining of the temperature information of each target monitoring point at the current time includes:
acquiring temperature information of each coordinate point of the top surface of the content at the current moment through a preset infrared thermal imager;
and taking the temperature information of the coordinate point matched with each target monitoring point at the current moment as the temperature information of the target monitoring point at the current moment.
The above method, optionally, further includes:
comparing the temperature information of each coordinate point with a preset temperature threshold;
and if the coordinate point with the temperature information larger than the temperature threshold exists, determining the coordinate point as an abnormal coordinate point.
The method described above, optionally, the process of constructing the temperature prediction model of each target monitoring point includes:
acquiring a training data set of the target monitoring point, wherein the training data set comprises a plurality of samples; each sample consists of the temperature of the target monitoring point at the historical moment, the temperature of the target monitoring point at the later moment of the historical moment and the state information of the container at the historical moment; the status information includes at least one of: steam input, steam pressure and water temperature in the bottom boiler;
training an initial temperature prediction model of the target monitoring point by using the training data set;
and under the condition that the initial temperature prediction model meets the set training completion condition, determining the initial temperature prediction model as the temperature prediction model of the target monitoring point.
The above method, optionally, after obtaining the predicted temperature of each target monitoring point at a time subsequent to the current time, further includes:
and fusing the predicted temperature of each target monitoring point to obtain a temperature distribution field of the top surface of the content.
A temperature monitoring device comprising:
the system comprises an acquisition unit, a storage unit and a processing unit, wherein the acquisition unit is used for acquiring the temperature information of each target monitoring point at the current moment and the state information of a container at the current moment; wherein the location characterized by each of the target monitoring points is in the storage space of the container and matches the height of the top surface of the contents stored in the container;
and the prediction unit is used for applying a pre-constructed temperature prediction model of each target monitoring point, processing the temperature information and the state information of each target monitoring point at the current moment and obtaining the predicted temperature of each target monitoring point at the moment after the current moment.
The above apparatus, optionally, the prediction unit includes:
the acquisition subunit is used for acquiring a training data set of the target monitoring point, wherein the training data set comprises a plurality of samples; each sample consists of the temperature of the target monitoring point at the historical moment, the temperature of the target monitoring point at the later moment of the historical moment and the state information of the container at the historical moment; the status information includes at least one of: steam input, steam pressure and water temperature in the bottom boiler;
the training subunit is used for training an initial temperature prediction model of the target monitoring point by using the training data set;
and the determining subunit is used for determining the initial temperature prediction model as the temperature prediction model of the target monitoring point under the condition that the initial temperature prediction model meets the set training completion condition.
A storage medium comprising stored instructions, wherein the instructions, when executed, control a device in which the storage medium is located to perform a temperature monitoring method as described above.
An electronic device comprising a memory, and one or more instructions, wherein the one or more instructions are stored in the memory and configured to be executed by one or more processors to perform a temperature monitoring method as described above.
Compared with the prior art, the invention has the following advantages:
the invention provides a temperature monitoring system, a method, a device, a storage medium and an electronic device, wherein the system comprises: the system comprises an upper computer, distance measuring equipment and temperature measuring equipment; the upper computer measures the height of the top surface of the content stored in the container through the distance measuring equipment, and determines alternative monitoring points matched with the height in a preset monitoring point set as target monitoring points; wherein the position characterized by each alternative monitoring point in the set of monitoring points is in the storage space of the container; the upper computer measures the temperature of the top surface of the content through the temperature measuring equipment so as to obtain the temperature information of each target monitoring point at the current moment and obtain the state information of the container at the current moment; and the upper computer processes the temperature information of each target monitoring point at the current moment and the state information by using a pre-constructed temperature prediction model of each target monitoring point to obtain the predicted temperature of each target monitoring point at the next moment after the current moment. By applying the system provided by the invention, the predicted temperature of the target monitoring point at the later moment can be predicted, and the temperature uncertainty caused by time consumed by material laying can be eliminated, so that the screening operation can be accurately guided, and the brewing quality and yield of the white spirit can be improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a schematic structural diagram of a temperature monitoring system according to the present invention;
FIG. 2 is a flow chart of a method of temperature monitoring according to the present invention;
FIG. 3 is a flowchart of a process for obtaining temperature information of each target monitoring point at the current time according to the present invention;
FIG. 4 is a flow chart of a temperature prediction model construction process provided by the present invention;
FIG. 5 is a schematic view of a retort area division provided by the present invention;
FIG. 6 is a schematic structural diagram of a temperature monitoring device according to the present invention;
fig. 7 is a schematic structural diagram of an electronic device provided in the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In this application, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Referring to fig. 1, a temperature monitoring system provided for an embodiment of the present invention specifically includes:
the system comprises an upper computer 101, a distance measuring device 102 and a temperature measuring device 103;
the upper computer 101 measures the height of the top surface of the content stored in the container through the distance measuring equipment 102, and determines an alternative monitoring point matched with the height in a preset monitoring point set as a target monitoring point; wherein the position characterized by each alternative monitoring point in the set of monitoring points is in the storage space of the container;
the upper computer measures the temperature of the top surface of the content through the temperature measuring equipment so as to obtain the temperature information of each target monitoring point at the current moment and obtain the state information of the container at the current moment;
and the upper computer processes the temperature information of each target monitoring point at the current moment and the state information by using a pre-constructed temperature prediction model of each target monitoring point to obtain the predicted temperature of each target monitoring point at the next moment after the current moment.
Wherein, host computer 101 is connected with this range unit 102 and temperature measurement equipment 103 respectively, and this temperature measurement equipment 103 can be infrared thermal imager, and this infrared thermal imager sets up on the shooting position of preselection setting for the top surface of the content in the container can be shot to this infrared thermal imager's camera field of vision.
Optionally, the container can be a bottle, and the content can be distiller's grains, fermented grains or fermented grains and the like generated in the process of brewing white spirit.
Specifically, the distance measuring device 102 may be used to measure the height of the top surface of the contents in the container and transmit the measured height to the upper computer 101.
In the embodiment of the present invention, a plurality of candidate monitoring points are disposed in the internal storage space of the container, wherein each of the candidate monitoring points may be uniformly distributed in the memory storage space of the container.
For example, assuming that the container is screened, the screened diameter is 2m, the height is 1.5m, a plurality of alternative monitoring point layers can be arranged according to the height, and the interval between two adjacent alternative monitoring point layers is the same and can be 0.6 m; the position of the alternative monitoring point in each monitoring point layer can be determined based on the screened diameter, the diameter D of the retort pot is 2m and is averagely divided into 4 parts, the retort pot is divided in a gridding mode according to the minimum external square of the retort pot, the side length of each small grid is D/I0.5 m, if the center of the grid exceeds the retort pot area, the network is ignored, and the rest grids are marked as a1,a2,...,ak,...,a16. And determining the central position of each grid as an alternative monitoring point.
In the embodiment of the present invention, in the case that the height between any alternative monitoring point and the top surface of the content is consistent, or the height difference between the alternative monitoring point and the top surface of the content is smaller than the preset height difference threshold value, it may be determined that the alternative monitoring point matches with the height of the top surface of the content.
By applying the system provided by the invention, the predicted temperature of the target monitoring point at the later moment can be predicted, and the uncertainty of the temperature caused by the material laying time can be eliminated, so that the screening operation can be accurately guided, and the brewing quality and yield of the white spirit can be improved.
Based on the foregoing scheme, an embodiment of the present invention further provides a temperature monitoring method, where the method may be applied to an electronic device, the electronic device may be an upper computer in the temperature monitoring system, and a flowchart of the method is shown in fig. 2, and specifically includes:
s201: acquiring temperature information of each target monitoring point at the current moment and state information of a container at the current moment; wherein the location characterized by each of the target monitoring points is in the storage space of the container and matches the height of the top surface of the contents stored in the container.
In the embodiment of the present invention, before the obtaining of the temperature information of each target monitoring point at the current time and the state information of the container at the current time in S201 is performed, the height of the top surface of the content stored in the container may be measured by a distance measuring device, and in a case where an alternative monitoring point matching the height exists in a preset monitoring point set, the alternative monitoring point matching the height in the monitoring point set may be determined as the target monitoring point.
Wherein the state information may include: one or more of steam input amount, steam pressure, water temperature in the bottom boiler and the like.
Specifically, the position represented by the target monitoring point matches the height of the top surface of the content stored in the container, which may mean that the target monitoring point is consistent with the height of the top surface of the content, or that the height difference between the target monitoring point and the top surface of the content is smaller than a preset height difference threshold.
S202: and applying a pre-constructed temperature prediction model of each target monitoring point, and processing the temperature information and the state information of each target monitoring point at the current moment to obtain the predicted temperature of each target monitoring point at the moment after the current moment.
In the embodiment of the invention, each target monitoring point is provided with a corresponding temperature prediction model, and the temperature prediction model of each target monitoring point can be obtained by training according to the training data set of the target monitoring point.
The temperature prediction model may be various models in a machine learning model, such as an XGBoost tree model.
Optionally, the later time may be any time in the future of the current time, for example, may be the z-th minute after the current time, and z may be any value such as 5 or 10.
Specifically, for each target monitoring point, the temperature information of the target monitoring point at the current moment and the state information of the container at the current moment are input into the temperature prediction model of the target monitoring point, the predicted temperature of the target monitoring point at the later moment of the current moment is obtained, the temperature of the area corresponding to the target monitoring point on the top surface of the content can be predicted, corresponding operation can be prepared according to the temperature, and the quality and the yield of the white spirit can be improved under the conditions of early laying and delayed laying.
In the method provided in the embodiment of the present invention, based on the implementation process, specifically, the process of acquiring the temperature information of each target monitoring point at the current time may include, as shown in fig. 3:
s301: and acquiring the temperature information of each coordinate point of the top surface of the content at the current moment through a preset infrared thermal imager.
In an embodiment of the present invention, the thermal infrared imager may be disposed right above the container, and a visual field of the thermal infrared imager includes a top surface of the content.
Wherein, the output of the infrared thermal imager can be a two-dimensional matrix TM×NEach element of the matrix
The representative pixel coordinate is the temperature value output by the (m, n) point.
Specifically, the coordinate point may be the pixel coordinate, or may be a coordinate obtained by mapping the pixel point to a pre-established standard coordinate system.
That is, the respective pixel coordinates may be mapped to a pre-established standard coordinate system to obtain respective coordinate points of the top surface of the contents, thereby obtaining temperature information of the respective coordinate points.
S302: and taking the temperature information of the coordinate point matched with each target monitoring point at the current moment as the temperature information of the target monitoring point at the current moment.
In the embodiment of the present invention, the coordinate point matched with the target monitoring point may be a coordinate point matched with the coordinate of the target monitoring point, and in the case where there is a slight difference between the height of the target monitoring point and the height of the top surface of the contents, the coordinate point matched with the target monitoring point may be a coordinate point matched with the horizontal plane coordinate of the target monitoring point.
In the method provided in the embodiment of the present invention, based on the implementation process, specifically, the method further includes:
comparing the temperature information of each coordinate point with a preset temperature threshold;
and if the coordinate point with the temperature information larger than the temperature threshold exists, determining the coordinate point as an abnormal coordinate point.
In the embodiment of the invention, if a coordinate point with temperature information not greater than the temperature threshold exists, the coordinate point is determined as a normal coordinate point.
If the number of the abnormal coordinate points is larger than a preset threshold value in any image area in the temperature distribution graph output by the infrared thermal imager, the area of the top surface of the content corresponding to the image area can be considered to have the gas passing phenomenon, and at the moment, alarm information can be sent out to prompt a user that the gas passing phenomenon occurs in the area.
Specifically, the temperature threshold may be set according to actual requirements.
In the embodiment of the present invention, binarization processing may be performed on the temperature of each coordinate point based on a temperature threshold, specifically as follows:
and determining a non-zero area in the binarization result as an area where the air penetration phenomenon occurs.
In the method provided in the embodiment of the present invention, based on the implementation process, specifically, a construction process of the temperature prediction model of each target monitoring point, as shown in fig. 4, specifically includes:
s401: acquiring a training data set of the target monitoring point, wherein the training data set comprises a plurality of samples; each sample consists of the temperature of the target monitoring point at the historical moment, the temperature of the target monitoring point at the later moment of the historical moment and the state information of the container at the historical moment; the status information includes at least one of: steam input, steam pressure and water temperature in the bottom boiler.
In the embodiment of the invention, the historical time temperature can be the top surface temperature of the content corresponding to the target monitoring point, which is measured by an infrared sensor; the temperature at the time subsequent to the historical time may be a temperature acquired by a temperature sensor provided at the target monitoring point at the time subsequent to the historical time.
S402: and training an initial temperature prediction model of the target monitoring point by using the training data set.
In the embodiment of the present invention, the prediction formula of the initial temperature prediction model is as follows:
wherein f isiIs a sample XiThe weight value on the qth tree leaf, Q being the number of leaves of the decision tree and gamma being the decision treeSet of weights of (2).
Predicted temperature for model for Z minutes after historical time for ith sample, DiDeviation value of the predicted temperature of the ith sample Z min from the current temperature, yiIs the temperature at the historical moment.
The target formula of model training optimization is as follows:
wherein L (phi) is a loss function,
the method is characterized in that the method is a regular term, the complexity of a model is punished, l is a function for measuring the difference between the predicted temperature and the actual temperature, w is the weight of leaves on each tree, T is the number of leaves of a decision tree, lambda and gamma are correlation coefficients, Q trees are obtained after the model is subjected to repeated iterative training, and the accumulated value of the Q trees is the predicted value of the sample.
S403: and under the condition that the initial temperature prediction model meets the set training completion condition, determining the initial temperature prediction model as the temperature prediction model of the target monitoring point.
In the embodiment of the present invention, the training completion condition may be that the training times are greater than a preset training time, or that the prediction accuracy of the initial prediction model is greater than a preset accuracy threshold.
In the method provided in the embodiment of the present invention, based on the foregoing implementation process, specifically, after obtaining the predicted temperature of each target monitoring point at the time subsequent to the current time, the method further includes:
and fusing the predicted temperature of each target monitoring point to obtain a temperature distribution field of the top surface of the content.
The temperature monitoring method provided by the embodiment of the invention can be applied to various fields, for example, the temperature monitoring method can be applied to the upper discrimination temperature monitoring of liquor brewing, and the method comprises the following specific steps:
s501: a training data set is constructed.
Firstly, placing a temperature sensor in a retort, wherein the specific mode is that the diameter D of the retort is averagely divided into I parts, specifically referring to figure 5, the retort is divided according to a gridding mode of a minimum external square of the retort, the side length of each small grid is D/I, if the center of the grid exceeds the area of the retort, the grid is ignored, and the rest grids are marked as a1,a2,...,ak,...,aK。
At each akA temperature sensor array is placed at the center of a grid, J temperature sensors are uniformly placed on each temperature sensor array, the height interval between every two temperature sensors is h, the total length of the array is not higher than the height inside a retort tank, and the position where the temperature sensors are placed is determined as an alternative monitoring point. The data collected by each sensor may be labeled t(k,j)。
Wherein, the larger the I and the J are set, the higher the precision of the model is, and the temperature data of each sensor is recorded and the surface temperature t of the fermented grains at the coordinates of the monitoring point is also required to be recorded when the data is acquired(m,n)Steam input v at the bottom of the steamer and steam pressure p at the steam valvetTemperature of boiler water at bottom of retort twtAnd so on.
Each sample in the data set includes information such as time, temperature at different locations, steam input, steam pressure, bottom boiler water temperature, etc.
S502: and training the temperature prediction model of each alternative monitoring point by using the training data set of each alternative monitoring point.
After the model training is finished, the temperature sensor does not need to be actually placed, and the measurement of the temperature sensor is replaced by the output value of the temperature rising model of each monitoring point.
In particular, the volume of each sub-zone in the retort
The temperature values within the range are all replaced by temperature values for the monitored points within the zone.
S503: in the process of screening, the height of the fermented grains in the screening tank is detected through distance measuring equipment, and an alternative monitoring point matched with the height of the fermented grains is determined as a target monitoring point.
S504: and acquiring the temperature information of each target monitoring point at the current moment, the steam input quantity at the bottom of the steamer, the steam pressure at a steam valve, the temperature of the boiler at the bottom of the steamer and other information.
S505: and predicting the temperature information of each target monitoring point, the steam input quantity of the bottom of the steamer, the steam pressure at a steam valve and the temperature of the boiler water at the bottom of the steamer by using the temperature prediction model of each target monitoring point to obtain the predicted temperature of the target monitoring point at the future moment.
S506: and fusing the predicted temperatures of all the target monitoring points to obtain the temperature field distribution in the screening tank.
Corresponding to the method illustrated in fig. 1, an embodiment of the present invention further provides a temperature monitoring apparatus, which is used for specifically implementing the method illustrated in fig. 1, where the temperature monitoring apparatus provided in the embodiment of the present invention may be applied to an electronic device, and a schematic structural diagram of the temperature monitoring apparatus is illustrated in fig. 6, and specifically includes:
an obtaining unit 601, configured to obtain temperature information of each target monitoring point at a current time and state information of a container at the current time; wherein the location characterized by each of the target monitoring points is in the storage space of the container and matches the height of the top surface of the contents stored in the container;
a predicting unit 602, configured to apply a pre-constructed temperature prediction model of each target monitoring point, process the temperature information and the state information of each target monitoring point at the current time, and obtain a predicted temperature of each target monitoring point at a time subsequent to the current time.
In the apparatus provided in the embodiment of the present invention, based on the above scheme, optionally, the prediction unit 602 includes:
the acquisition subunit is used for acquiring a training data set of the target monitoring point, wherein the training data set comprises a plurality of samples; each sample consists of the temperature of the target monitoring point at the historical moment, the temperature of the target monitoring point at the later moment of the historical moment and the state information of the container at the historical moment; the status information includes at least one of: steam input, steam pressure and water temperature in the bottom boiler;
the training subunit is used for training an initial temperature prediction model of the target monitoring point by using the training data set;
and the determining subunit is used for determining the initial temperature prediction model as the temperature prediction model of the target monitoring point under the condition that the initial temperature prediction model meets the set training completion condition.
In the apparatus provided in the embodiment of the present invention, based on the above scheme, optionally, the obtaining unit 601 includes:
acquiring temperature information of each coordinate point of the top surface of the content at the current moment through a preset infrared thermal imager;
and taking the temperature information of the coordinate point matched with each target monitoring point at the current moment as the temperature information of the target monitoring point at the current moment.
In the apparatus provided in the embodiment of the present invention, based on the above scheme, optionally, the temperature monitoring apparatus further includes an abnormality detection unit;
the abnormality detection unit is used for comparing the temperature information of each coordinate point with a preset temperature threshold value; and if the coordinate point with the temperature information larger than the temperature threshold exists, determining the coordinate point as an abnormal coordinate point.
In the apparatus provided in the embodiment of the present invention, based on the above scheme, optionally, the temperature monitoring apparatus further includes a temperature fusion unit;
and the temperature fusion unit is used for fusing the predicted temperature of each target monitoring point to obtain a temperature distribution field of the top surface of the content.
The specific principle, the execution process and the obtained technical effect of each unit and each module in the temperature monitoring device disclosed in the embodiment of the present invention are the same as those of the temperature monitoring method disclosed in the embodiment of the present invention, and reference may be made to corresponding parts in the temperature monitoring method provided in the embodiment of the present invention, which are not described herein again.
The embodiment of the invention also provides a storage medium, which comprises a stored instruction, wherein when the instruction runs, the device where the storage medium is located is controlled to execute the temperature monitoring method.
An electronic device is provided in an embodiment of the present invention, and its structural diagram is shown in fig. 7, which specifically includes a memory 701 and one or more instructions 702, where the one or more instructions 702 are stored in the memory 701, and are configured to be executed by one or more processors 703 to perform the following operations according to the one or more instructions 702:
acquiring temperature information of each target monitoring point at the current moment and state information of a container at the current moment; wherein the location characterized by each of the target monitoring points is in the storage space of the container and matches the height of the top surface of the contents stored in the container;
and applying a pre-constructed temperature prediction model of each target monitoring point, and processing the temperature information and the state information of each target monitoring point at the current moment to obtain the predicted temperature of each target monitoring point at the moment after the current moment.
It should be noted that, in the present specification, the embodiments are all described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other. For the device-like embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functions of the units may be implemented in the same software and/or hardware or in a plurality of software and/or hardware when implementing the invention.
From the above description of the embodiments, it is clear to those skilled in the art that the present invention can be implemented by software plus necessary general hardware platform. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which may be stored in a storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments or some parts of the embodiments.
The temperature monitoring method provided by the invention is described in detail above, and the principle and the implementation of the invention are explained in the text by applying specific examples, and the description of the above examples is only used to help understanding the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. A temperature monitoring system, comprising:
the system comprises an upper computer, distance measuring equipment and temperature measuring equipment;
the upper computer measures the height of the top surface of the content stored in the container through the distance measuring equipment, and determines alternative monitoring points matched with the height in a preset monitoring point set as target monitoring points; wherein the position characterized by each alternative monitoring point in the set of monitoring points is in the storage space of the container;
the upper computer measures the temperature of the top surface of the content through the temperature measuring equipment so as to obtain the temperature information of each target monitoring point at the current moment and obtain the state information of the container at the current moment;
and the upper computer processes the temperature information of each target monitoring point at the current moment and the state information by using a pre-constructed temperature prediction model of each target monitoring point to obtain the predicted temperature of each target monitoring point at the next moment after the current moment.
2. A method of temperature monitoring, comprising:
acquiring temperature information of each target monitoring point at the current moment and state information of a container at the current moment; wherein the location characterized by each of the target monitoring points is in the storage space of the container and matches the height of the top surface of the contents stored in the container;
and applying a pre-constructed temperature prediction model of each target monitoring point, and processing the temperature information and the state information of each target monitoring point at the current moment to obtain the predicted temperature of each target monitoring point at the moment after the current moment.
3. The method of claim 2, wherein the obtaining the temperature information of each target monitoring point at the current moment comprises:
acquiring temperature information of each coordinate point of the top surface of the content at the current moment through a preset infrared thermal imager;
and taking the temperature information of the coordinate point matched with each target monitoring point at the current moment as the temperature information of the target monitoring point at the current moment.
4. The method of claim 3, further comprising:
comparing the temperature information of each coordinate point with a preset temperature threshold;
and if the coordinate point with the temperature information larger than the temperature threshold exists, determining the coordinate point as an abnormal coordinate point.
5. The method of claim 2, wherein the construction of the temperature prediction model for each target monitoring point comprises:
acquiring a training data set of the target monitoring point, wherein the training data set comprises a plurality of samples; each sample consists of the temperature of the target monitoring point at the historical moment, the temperature of the target monitoring point at the later moment of the historical moment and the state information of the container at the historical moment; the status information includes at least one of: steam input, steam pressure and water temperature in the bottom boiler;
training an initial temperature prediction model of the target monitoring point by using the training data set;
and under the condition that the initial temperature prediction model meets the set training completion condition, determining the initial temperature prediction model as the temperature prediction model of the target monitoring point.
6. The method of claim 2, wherein said obtaining a predicted temperature of each of said target monitoring points at a time subsequent to said current time further comprises:
and fusing the predicted temperature of each target monitoring point to obtain a temperature distribution field of the top surface of the content.
7. A temperature monitoring device, comprising:
the system comprises an acquisition unit, a storage unit and a processing unit, wherein the acquisition unit is used for acquiring the temperature information of each target monitoring point at the current moment and the state information of a container at the current moment; wherein the location characterized by each of the target monitoring points is in the storage space of the container and matches the height of the top surface of the contents stored in the container;
and the prediction unit is used for applying a pre-constructed temperature prediction model of each target monitoring point, processing the temperature information and the state information of each target monitoring point at the current moment and obtaining the predicted temperature of each target monitoring point at the moment after the current moment.
8. The apparatus of claim 7, wherein the prediction unit comprises:
the acquisition subunit is used for acquiring a training data set of the target monitoring point, wherein the training data set comprises a plurality of samples; each sample consists of the temperature of the target monitoring point at the historical moment, the temperature of the target monitoring point at the later moment of the historical moment and the state information of the container at the historical moment; the status information includes at least one of: steam input, steam pressure and water temperature in the bottom boiler;
the training subunit is used for training an initial temperature prediction model of the target monitoring point by using the training data set;
and the determining subunit is used for determining the initial temperature prediction model as the temperature prediction model of the target monitoring point under the condition that the initial temperature prediction model meets the set training completion condition.
9. A storage medium, characterized in that the storage medium comprises stored instructions, wherein when the instructions are executed, the storage medium is controlled to execute the temperature monitoring method according to any one of claims 2 to 6.
10. An electronic device comprising a memory, and one or more instructions stored in the memory and configured to be executed by one or more processors to perform the temperature monitoring method of any one of claims 2-6.
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