CN116773046A - Heating judgment method based on granary temperature - Google Patents
Heating judgment method based on granary temperature Download PDFInfo
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- 238000010438 heat treatment Methods 0.000 title claims abstract description 111
- 238000000034 method Methods 0.000 title claims abstract description 38
- 238000012544 monitoring process Methods 0.000 claims abstract description 289
- 230000000630 rising effect Effects 0.000 claims abstract description 47
- 238000009423 ventilation Methods 0.000 claims description 25
- 238000012546 transfer Methods 0.000 claims description 24
- 230000020169 heat generation Effects 0.000 claims description 16
- 206010037660 Pyrexia Diseases 0.000 claims description 13
- 230000003247 decreasing effect Effects 0.000 claims description 7
- 238000005273 aeration Methods 0.000 claims description 6
- 238000004378 air conditioning Methods 0.000 claims description 4
- 238000001816 cooling Methods 0.000 claims description 4
- 230000002354 daily effect Effects 0.000 description 12
- 238000009529 body temperature measurement Methods 0.000 description 3
- 230000003203 everyday effect Effects 0.000 description 3
- 238000012216 screening Methods 0.000 description 3
- 238000001514 detection method Methods 0.000 description 2
- 239000002023 wood Substances 0.000 description 2
- 235000017166 Bambusa arundinacea Nutrition 0.000 description 1
- 235000017491 Bambusa tulda Nutrition 0.000 description 1
- 241001330002 Bambuseae Species 0.000 description 1
- 235000015334 Phyllostachys viridis Nutrition 0.000 description 1
- 241000607479 Yersinia pestis Species 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 239000011425 bamboo Substances 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000011449 brick Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000003958 fumigation Methods 0.000 description 1
- 239000012535 impurity Substances 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 238000005399 mechanical ventilation Methods 0.000 description 1
- 238000001556 precipitation Methods 0.000 description 1
- 238000004321 preservation Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K13/00—Thermometers specially adapted for specific purposes
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K13/00—Thermometers specially adapted for specific purposes
- G01K13/10—Thermometers specially adapted for specific purposes for measuring temperature within piled or stacked materials
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K3/00—Thermometers giving results other than momentary value of temperature
Abstract
The invention relates to the technical field of grain storage, and discloses a granary temperature-based heating judgment method, which aims to solve the problem of inaccuracy in the existing granary heating judgment method, and mainly comprises the following steps: acquiring the temperature of each monitoring point of the granary; for each monitoring point, determining the type of the granary and the point type of the current monitoring point; determining a plurality of corresponding preset ranges and a plurality of thresholds according to the granary type and the point location type; when the temperature is in the temperature rising season, judging the heating condition of the current monitoring point according to the current temperature and the historical temperature of the current monitoring point and the corresponding preset range and threshold; when the temperature is in the temperature reduction season, judging the heating condition of the current monitoring point according to the current temperature of the current monitoring point, the current temperature and the historical temperature of other monitoring points of the same point type in the monitoring network to which the current monitoring point belongs, and the corresponding preset range and threshold value. The invention improves the accuracy of heating judgment and is suitable for various grains.
Description
Technical Field
The invention relates to the technical field of grain storage, in particular to a heating judgment method based on granary temperature.
Background
In recent years, the grain bin in China is relatively rapid in development, the grain bin between the original brick and wood structures and the bamboo and wood structures is developed into a high square bin, a vertical bin, a shallow round bin and the like at present, and the warehouse capacity is also obviously improved. The conventional grain remote monitoring system is established in a plurality of grain warehouse units, and mainly comprises temperature sensors arranged at monitoring points at different positions and different heights of each grain warehouse, and then temperature data detected by all the temperature sensors are connected into a computer temperature measuring system for monitoring, so that a manager can check the temperatures of all the monitoring points in real time according to the grain remote monitoring system, and a reference basis is provided for grain preservation.
In the existing grain condition remote monitoring system, the display result of computer temperature measurement mainly comprises basic information such as grain bin number, grain variety, detection time, grain temperature of each monitoring point, average grain temperature of the whole bin, average grain temperature of each layer, highest grain temperature, lowest grain temperature and the like, in order to judge whether grains generate heat, the mode is generally adopted to judge through one or more basic information and fixed preset value, and then the experience of management staff is combined, so that at least the following defects exist: firstly, the grain bin type, the point location type, the weather and the grain storage ecological area (geographic position) are not considered, for example, the grain temperature of a flat bin and the grain temperature of a shallow circular bin are different, the grain temperature of a cold center and the grain temperature of a hot skin are also different, and the problem of inaccurate heating judgment exists by adopting a mode of fixing a preset value only. Secondly, the grain temperature change trend is not considered, analysis and auxiliary decision making on the grain temperature are absent, the requirements on experience and professional skills of an administrator are high, and the manpower resource consumption is increased.
Disclosure of Invention
The invention aims to solve the problems of inaccuracy and high manpower resource consumption of the existing grain pile heating judgment method, and provides a heating judgment method based on the granary temperature.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a method of determining heat generation based on grain bin temperature, the method comprising:
step 1, acquiring the temperature of each monitoring point position of a granary, wherein a plurality of monitoring points form a monitoring network, and the monitoring networks are distributed at different heights of the granary;
step 2, judging heating conditions of each monitoring point by the following steps:
step 21, determining the granary type and the point type of the current monitoring point, wherein the point type comprises a hot skin point and a cold core point;
step 22, determining a plurality of corresponding preset ranges and a plurality of thresholds according to the granary type and the point location type;
when the temperature is in the temperature rising season, judging the heating condition of the current monitoring point according to the current temperature and the historical temperature of the current monitoring point and the corresponding preset range and threshold;
when the temperature is in the temperature reduction season, judging the heating condition of the current monitoring point according to the current temperature of the current monitoring point, the current temperature and the historical temperature of other monitoring points of the same point type in the monitoring network to which the current monitoring point belongs, and the corresponding preset range and threshold value.
Further, in step 22, the preset range includes a first preset range to an eighth preset range, and the threshold includes a first threshold to an eleventh threshold;
when the temperature is in the temperature rising season, judging the heating condition of the current monitoring point according to the current temperature and the historical temperature of the current monitoring point and the corresponding preset range and threshold value, and specifically comprising the following steps:
if the current temperature of the current monitoring point is in the first preset range, judging that the current monitoring point does not generate heat;
if the current temperature of the current monitoring point is in the second preset range, continuously rising the temperature N days before the current monitoring point and the average daily rising temperature is greater than or equal to a first threshold value, judging that the current monitoring point generates heat;
if the current temperature of the current monitoring point is in the third preset range, continuously rising the temperature N days before the current monitoring point and the average daily rising temperature is greater than or equal to a second threshold value, judging that suspected fever exists in the current monitoring point;
if the current temperature of the current monitoring point is in a fourth preset range, continuously rising the temperature N days before the current monitoring point and the average daily rising temperature is greater than or equal to a third threshold value, judging that suspected fever exists in the current monitoring point;
if the current temperature of the current monitoring point is in a fifth preset range, continuously rising the temperature N days before the current monitoring point and the average daily rising temperature is greater than or equal to a fourth threshold value, judging that suspected fever exists in the current monitoring point;
if the current temperature of the current monitoring point is in a sixth preset range and the average daily rising temperature is greater than or equal to a fifth threshold, judging that the current monitoring point generates heat;
if the current temperature of the current monitoring point is in the seventh preset range, judging that the current monitoring point generates heat.
Further, after determining that the current monitoring point position has suspected fever, the method further comprises the following steps:
and comparing the temperature of the current monitoring point for n+2 days, the temperature of the current monitoring point for n+1 days and the temperature of the current monitoring point for N days, judging whether the temperature reduction in one day exceeds a sixth threshold or the total temperature reduction exceeds a seventh threshold, and if so, judging that the current monitoring point does not generate heat.
Further, in step 22, when the temperature is in the season of decreasing, the heating condition of the current monitoring point is determined according to the current temperature of the current monitoring point, the current temperature and the historical temperature of other monitoring points of the same point type in the monitoring network to which the current monitoring point belongs, and the corresponding preset range and threshold value, which specifically includes:
if the current temperature of the current monitoring point is in the eighth preset range, judging that the current monitoring point does not generate heat;
if the difference value between the last average temperature and the current average temperature of all the monitoring points of the same point type in the monitoring network to which the current monitoring point belongs is larger than an eighth threshold value, but the difference value between the last temperature of any monitoring point of the same point type and the current temperature of the current monitoring point is smaller than a ninth threshold value, judging that the current monitoring point has heating;
if the average current temperature of all the monitoring points of the same point type is smaller than the tenth threshold value in the monitoring network to which the current monitoring point belongs, but the current temperature of the current monitoring point is larger than the eleventh threshold value, judging that the current monitoring point generates heat.
Further, when the temperature of the monitoring point is acquired multiple times in one day, the temperature of the monitoring point on one day refers to the average value of the temperatures acquired multiple times in one day.
Further, the method further comprises:
and after judging that the current monitoring point position has heat, sending out a first-stage heat early warning to the current monitoring point position, and after judging that the current monitoring point position has heat, sending out a second-stage heat early warning to the current monitoring point position.
Further, the method further comprises:
after the temperature of each monitoring point position of the granary is obtained, error temperature data and distortion temperature data are screened out, and heating judgment is not carried out according to the error temperature data and the distortion temperature data.
Further, determining a plurality of corresponding preset ranges and a plurality of thresholds according to the granary type and the point location type specifically comprises:
and respectively determining the heat transfer quantity and the air heat transfer quantity of grain piles of different grain bin types before and after ventilation, and determining a plurality of preset ranges and a plurality of thresholds corresponding to each position type under the corresponding grain bin type according to the heat transfer quantity and the air heat transfer quantity of the grain piles.
Further, the calculation formula of the grain pile heat transfer quantity is as follows:
；
wherein Δq represents the heat transfer amount of the grain bulk, C 1 、m 1 And T 1 Respectively representing the specific heat, the mass and the average temperature of grains in the granary before ventilation, C 2 、m 2 And T 2 Respectively representing the specific heat, the mass and the average temperature of grains in the granary after ventilation;
wherein, the calculation formula of specific heat of the grain is as follows:
；
wherein C represents the specific heat of the grain, and w represents the moisture of the grain;
the calculation formula of the air heat transfer quantity is as follows:
；
wherein ΔI represents the air heat transfer amount, t 1 And t 2 Respectively represent the average temperature of the air in the granary before and after ventilation, d 1 And d 2 Respectively representing the absolute humidity content, V of the air in the granary before and after ventilation H1 Represents the specific volume of the wet air at the air outlet after ventilation, V H2 The wet air specific volume of the air inlet before ventilation is shown, and the ventilation quantity is shown by Q.
Further, the method further comprises:
determining heating parts and heating types of the granary according to heating judgment results of all monitoring points, wherein the heating types comprise local heating and single-point heating;
determining corresponding heat treatment measures according to the heat generating part and the heat generating type, wherein the heat treatment measures at least comprise: fumigating or air conditioning treatment, local suction type mechanical aeration cooling or dewatering treatment, and local aeration or suction type local grain treatment.
The beneficial effects of the invention are as follows: according to the granary temperature-based heating judgment method, the temperature of each monitoring point in the granary remote monitoring system is obtained, a plurality of preset ranges and thresholds corresponding to each monitoring point are determined according to the corresponding granary type and point type, heating judgment is carried out through the corresponding preset ranges and thresholds, the influence of the temperature difference of the granary type and the point type on the heating judgment is avoided, and the accuracy of the heating judgment is improved. Meanwhile, the influence of the temperature change trend on heating is considered in the heating judgment, the accuracy of heating judgment is further improved, the dependence on experience of management staff is reduced, and the manpower resource consumption is also saved.
Drawings
Fig. 1 is a flow chart of a heating determination method based on granary temperature according to an embodiment of the invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
The invention aims to improve the accuracy of granary heating judgment, and provides a granary temperature-based heating judgment method, which mainly comprises the following technical conception: acquiring the temperature of each monitoring point position of the granary, wherein a plurality of monitoring points form a monitoring network, and the monitoring networks are distributed at different heights of the granary; for each monitoring point position, the heating condition is judged through the following steps: determining the granary type and the point type of the current monitoring point, wherein the point type comprises a hot skin point and a cold core point; determining a plurality of corresponding preset ranges and a plurality of thresholds according to the granary type and the point location type; when the temperature is in the temperature rising season, judging the heating condition of the current monitoring point according to the current temperature and the historical temperature of the current monitoring point and the corresponding preset range and threshold; when the temperature is in the temperature reduction season, judging the heating condition of the current monitoring point according to the current temperature of the current monitoring point, the current temperature and the historical temperature of other monitoring points of the same point type in the monitoring network to which the current monitoring point belongs, and the corresponding preset range and threshold value.
In the existing grain storage system, different types of grain bins, such as a bungalow, a shallow circular bin and the like, are usually arranged, a plurality of monitoring points are distributed for each grain bin, wherein the plurality of monitoring points of each layer form a monitoring network, and the plurality of monitoring networks are distributed at different heights of the grain bins, namely the monitoring points are distributed in a three-dimensional matrix in a grain pile. The point type of the monitoring point comprises a cold center and a hot skin, wherein the cold center refers to the monitoring point in the grain pile, the skin refers to the monitoring point on the periphery of the grain pile, the monitoring point is provided with temperature sensors in one-to-one correspondence, and all the temperature sensors are connected into the same computer temperature measuring system. Based on the method, the temperature of each monitoring point is firstly obtained, then the heating judgment is carried out on each monitoring point, specifically, a plurality of preset ranges and thresholds corresponding to each monitoring point are determined according to the corresponding granary type and point type, and then the heating judgment is carried out through the corresponding preset ranges and thresholds, so that the influence of the temperature difference of the granary type and the point type on the heating judgment is avoided, and the accuracy of the heating judgment is improved. Meanwhile, the influence of the temperature change trend on heating is considered in the heating judgment, the accuracy of heating judgment is further improved, the dependence on experience of management staff is reduced, and the manpower resource consumption is also saved.
Examples
Referring to fig. 1, the heating determination method based on granary temperature according to the embodiment of the invention includes the following steps:
step 1, acquiring the temperature of each monitoring point position of a granary, wherein a plurality of monitoring points form a monitoring network, and the monitoring networks are distributed at different heights of the granary;
it can be understood that in this embodiment, the grain bins may be the same or different in type, each grain bin is provided with a plurality of monitoring points, each monitoring point is distributed at different positions and heights of the grain pile, the point type of the monitoring point includes a cold center and a hot skin, the cold center is the monitoring point inside the grain pile, the skin is the monitoring point on the periphery of the grain pile, the monitoring points are provided with temperature sensors in one-to-one correspondence, all the temperature sensors are connected to a computer temperature measuring system, and the computer temperature measuring system acquires temperature data detected by each temperature sensor and carries out heating judgment according to the temperature data.
Temperature data collected from the field, due to the influence of the accuracy of the sensor and the measuring environment, is generally avoided from being subject to errors and sometimes even to serious erroneous data. Based on this, the embodiment further includes screening out error temperature data and distortion temperature data after acquiring the temperatures of the monitoring points of the granary, and does not perform heating judgment for the error temperature data and the distortion temperature data.
Specifically, the error data screening method comprises the following steps: if a certain monitoring point displays symbols such as a symbol of a symbol, or a blank has no data, or characters such as an open circuit, a short circuit, or the like are displayed, or the temperature is greater than or equal to 45 ℃ or less than or equal to-30 ℃, and the error data is directly judged. For the point with the temperature of more than or equal to 45 ℃, the software interface of the computer temperature measuring system displays the grain condition of x columns, x rows and x layers of check in warehouse, and the heating judgment is not carried out.
The distorted data screening method comprises the following steps: the data of the two previous and subsequent detection are: and if the temperature change of other points is less than 2 ℃ but the temperature of the monitoring point is increased by more than 10 ℃ or the temperature of the monitoring point is reduced by more than 15 ℃, the point is distortion data, the point data is discarded, and the heating judgment is not carried out. This part is a key step in ensuring the authenticity and validity of the data.
Step 2, judging heating conditions of each monitoring point by the following steps:
step 21, determining the granary type and the point type of the current monitoring point, wherein the point type comprises a hot skin point and a cold core point;
it will be appreciated that before implementation, the correspondence between each monitoring point location and the granary type and the point location type may be preset in the computer temperature measurement system, for example, the granary type corresponding to the monitoring point location 1 is a flat, and the corresponding point location type is a hot skin. When the heating is performed specifically, the corresponding granary type and the point type can be determined according to the current monitoring point.
Step 22, determining a plurality of corresponding preset ranges and a plurality of thresholds according to the granary type and the point location type;
in this embodiment, the preset range includes a first preset range to an eighth preset range, the threshold includes a first threshold to an eleventh threshold, for each monitoring point location, the preset range and the threshold corresponding to the monitoring point location are determined according to the type of the grain bin and the type of the point location, and heating judgment is performed according to the determined preset range and threshold.
In practical application, the embodiment presets the corresponding relation between the granary type and the point location type and the preset ranges and the thresholds in the computer temperature measuring system, and when the heating is specifically performed, the corresponding preset ranges and thresholds can be determined according to the granary type and the point location type.
In this embodiment, the method for determining the correspondence between the granary type and the point location type, and the plurality of preset ranges and the plurality of thresholds may be: and respectively determining the heat transfer quantity and the air heat transfer quantity of the grain pile before and after ventilation of different grain bin types, and determining a plurality of preset ranges and a plurality of thresholds corresponding to each position type under the corresponding grain bin types according to the heat transfer quantity and the air heat transfer quantity of the grain pile.
The calculation formula of the grain pile heat transfer quantity is as follows:
；
wherein Δq represents the heat transfer amount of the grain bulk, C 1 、m 1 And T 1 Respectively representing the specific heat, the mass and the average temperature of grains in the granary before ventilation, C 2 、m 2 And T 2 Respectively are provided withRepresenting the specific heat, mass and average temperature of grains in the granary after ventilation;
wherein, the calculation formula of specific heat of the grain is as follows:
；
wherein C represents the specific heat of the grain, and w represents the moisture of the grain;
the calculation formula of the air heat transfer quantity is as follows:
；
wherein ΔI represents the air heat transfer amount, t 1 And t 2 Respectively represent the average temperature of the air in the granary before and after ventilation, d 1 And d 2 Respectively representing the absolute humidity content, V of the air in the granary before and after ventilation H1 Represents the specific volume of the wet air at the air outlet after ventilation, V H2 The wet air specific volume of the air inlet before ventilation is shown, and the ventilation quantity is shown by Q.
After determining a plurality of preset ranges and a plurality of thresholds corresponding to the granary type and the point location type, heating judgment can be performed according to the corresponding plurality of preset ranges and the plurality of thresholds, and the method specifically comprises the following steps:
when the temperature is in the temperature rising season, judging the heating condition of the current monitoring point according to the current temperature and the historical temperature of the current monitoring point and the corresponding preset range and threshold;
the temperature rising season may be preset in the computer temperature measurement system, for example, 3, 4, 5, 6, 7, 8, and 9 months are set as temperature rising seasons, and when the temperature rising season is in the temperature rising season, the embodiment specifically performs heat generation judgment by the following method:
if the current temperature of the current monitoring point is in the first preset range, judging that the current monitoring point does not generate heat;
if the current temperature of the current monitoring point is in the second preset range, continuously rising the temperature N days before the current monitoring point and the average daily rising temperature is greater than or equal to a first threshold value, judging that the current monitoring point generates heat;
if the current temperature of the current monitoring point is in the third preset range, continuously rising the temperature N days before the current monitoring point and the average daily rising temperature is greater than or equal to a second threshold value, judging that suspected fever exists in the current monitoring point;
if the current temperature of the current monitoring point is in a fourth preset range, continuously rising the temperature N days before the current monitoring point and the average daily rising temperature is greater than or equal to a third threshold value, judging that suspected fever exists in the current monitoring point;
if the current temperature of the current monitoring point is in a fifth preset range, continuously rising the temperature N days before the current monitoring point and the average daily rising temperature is greater than or equal to a fourth threshold value, judging that suspected fever exists in the current monitoring point;
if the current temperature of the current monitoring point is in a sixth preset range and the average daily rising temperature is greater than or equal to a fifth threshold, judging that the current monitoring point generates heat;
if the current temperature of the current monitoring point is in the seventh preset range, judging that the current monitoring point generates heat.
After the suspected heating of the current monitoring point is judged, comparing the temperature of the current monitoring point for n+2 days, the temperature of the current monitoring point for n+1 days and the temperature of the current monitoring point for N days, judging whether the temperature reduction of one day exceeds a sixth threshold or the total temperature reduction exceeds a seventh threshold, and if yes, judging that the heating of the current monitoring point is not generated.
Wherein N can be a positive integer between 2 and 7.
When the temperature is in the temperature reduction season, judging the heating condition of the current monitoring point according to the current temperature of the current monitoring point, the current temperature and the historical temperature of other monitoring points of the same point type in the monitoring network to which the current monitoring point belongs, and the corresponding preset range and threshold value.
The temperature decreasing season may be preset in the computer temperature measuring system, for example, 10, 11, 12, 1, 2 months are set as the temperature decreasing season, and when the temperature decreasing season is in the temperature decreasing season, the embodiment specifically performs heat generation judgment by the following method:
if the current temperature of the current monitoring point is in the eighth preset range, judging that the current monitoring point does not generate heat;
if the difference value between the last average temperature and the current average temperature of all the monitoring points of the same point type in the monitoring network to which the current monitoring point belongs is larger than an eighth threshold value, but the difference value between the last temperature of any monitoring point of the same point type and the current temperature of the current monitoring point is smaller than a ninth threshold value, judging that the current monitoring point has heating;
if the average current temperature of all the monitoring points of the same point type is smaller than the tenth threshold value in the monitoring network to which the current monitoring point belongs, but the current temperature of the current monitoring point is larger than the eleventh threshold value, judging that the current monitoring point generates heat.
Taking the granary type of the current monitoring point as a bungalow and the point type as a hot skin as an example, determining that the corresponding first preset range is less than or equal to 15 ℃, the second preset range is more than 15 ℃ and less than or equal to 20 ℃, the third preset range is more than 20 ℃ and less than or equal to 25 ℃, the fourth preset range is more than 25 ℃ and less than or equal to 28 ℃, the fifth preset range is more than 28 ℃ and less than or equal to 33 ℃, the sixth preset range is more than 33 ℃ and less than 35 ℃, the seventh preset range is more than or equal to 35 ℃ and the eighth preset range is less than or equal to 20 ℃ according to the method. The corresponding first threshold value is 1 ℃, the second threshold value is 0.8 ℃, the third threshold value is 0.6 ℃, the fourth threshold value is 0.4 ℃, the fifth threshold value is 0.3 ℃, the sixth threshold value is 3 ℃, the seventh threshold value is 5 ℃, the eighth threshold value is 2 ℃, the ninth threshold value is 1 ℃, the tenth threshold value is 20 ℃, and the eleventh threshold value is 28 ℃.
Then when the temperature is in the rising season:
if the current temperature of the current monitoring point is less than or equal to 15 ℃, judging that the current monitoring point does not generate heat;
if the current temperature of the current monitoring point is higher than 15 ℃ and lower than or equal to 20 ℃, continuously rising the temperature N days before the current monitoring point and the average rising temperature every day is higher than or equal to 1 ℃, judging that the current monitoring point generates heat;
if the current temperature of the current monitoring point is higher than 20 ℃ and lower than or equal to 25 ℃, the temperature of the current monitoring point continuously rises for N days before the current monitoring point and the average daily rising temperature is higher than or equal to 0.8, judging that the current monitoring point has suspected fever;
if the current temperature of the current monitoring point is higher than 25 ℃ and lower than or equal to 28 ℃, continuously rising the temperature N days before the current monitoring point and the average rising temperature every day is higher than or equal to 0.6 ℃, judging that the current monitoring point has suspected fever;
if the current temperature of the current monitoring point is higher than 28 ℃ and lower than or equal to 33 ℃, continuously rising the temperature N days before the current monitoring point and the average rising temperature every day is higher than or equal to 0.4 ℃, judging that the current monitoring point has suspected fever;
if the current temperature of the current monitoring point is higher than 33 ℃ and lower than 35 ℃ and the average daily rising temperature is higher than or equal to 0.3 ℃, judging that the current monitoring point generates heat;
and if the current temperature of the current monitoring point is greater than or equal to 35 ℃, judging that the current monitoring point has heating.
After the suspected heating of the current monitoring point is judged, comparing the temperature of the current monitoring point for the previous N+2 days, the temperature of the current monitoring point for the previous N+1 days and the temperature of the current monitoring point for the previous N days, judging whether the temperature of the current monitoring point is reduced by more than 3 ℃ in one day or the total temperature is reduced by more than 5 ℃, and if the temperature is reduced by more than 5 ℃ in one day, judging that the heating of the current monitoring point is not generated.
When the temperature is in the decreasing season:
if the current temperature of the current monitoring point is less than or equal to 20 ℃, judging that the current monitoring point does not generate heat;
if the difference value between the last average temperature and the current average temperature of all the monitoring points of the same point type in the monitoring network to which the current monitoring point belongs is more than 2 ℃ but the difference value between the last temperature of any monitoring point of the same point type and the current temperature of the current monitoring point is less than 1 ℃, judging that the current monitoring point has heating;
if the average temperature of the current monitoring point is less than 20 ℃ but the current temperature of the current monitoring point is more than 28 ℃ in the monitoring network to which the current monitoring point belongs, judging that the current monitoring point has heating.
It can be understood that if the grain bin type to which the current monitoring point belongs is a shallow circular bin or the point type is a cold center, the heating determination method is the same as the above steps, but the corresponding multiple preset ranges and multiple thresholds are different, which is not repeated in this embodiment.
In this embodiment, the monitoring point location may be monitored for one or more times in the same day, and when the temperature of the monitoring point location is obtained for multiple times in one day, the temperature of a certain day of the monitoring point location refers to an average value of the temperatures obtained for multiple times in one day of the monitoring point location.
In order to facilitate management personnel to know the heating condition of the grain stack in time, the embodiment further comprises: and after judging that the current monitoring point position has heat, sending out a first-stage heat early warning to the current monitoring point position, and after judging that the current monitoring point position has heat, sending out a second-stage heat early warning to the current monitoring point position.
By sending out different types of early warning, the manager can check the grain temperature in time and take corresponding measures. The computer temperature measuring system can also automatically screen abnormal heating grain points in the grain pile at selected time in the grain storage period, display the heating position on a plan designed according to rows, columns and layers, and label the heating at the position by words. Clicking the heating position to automatically display the change curves of the bin temperature, the external temperature and the grain temperature at the heating position for 60 days; clicking the upper layer, the lower layer, the upper row and the lower row on the same interface, and automatically displaying the change curves of surrounding points respectively to help management staff know the heating reason and the heating degree.
In this embodiment, the heating part and the heating type of the granary may be determined according to the heating judgment result of each monitoring point, and the corresponding heating treatment measures may be determined according to the heating part and the heating type. Wherein, the heating type can include local heating and single-point heating, and the heating treatment measures at least comprise: fumigating or air conditioning treatment, local suction type mechanical aeration cooling or dewatering treatment, and local aeration or suction type local grain treatment.
It is understood that the manager can determine the reason of the heat generation according to the heat generation part and the heat generation type, and further determine the corresponding heat generation treatment measures. For example, fumigation or air conditioning is required for heat generation caused by pests, local suction type mechanical ventilation cooling or precipitation is required for heat generation caused by local high moisture, and local ventilation or suction type grain is required for heat generation caused by impurity accumulation areas.
In summary, according to the granary temperature-based heating judgment method in the embodiment, the temperature of each monitoring point location in the grain condition remote monitoring system is obtained, a plurality of preset ranges and thresholds corresponding to each monitoring point location are determined according to the corresponding granary type and point location type, and then heating judgment is performed through the corresponding preset ranges and thresholds, so that the influence of the temperature difference of the granary type and the point location type on the heating judgment is avoided, and the accuracy of the heating judgment is improved. Meanwhile, the influence of the current season and the temperature change trend on heating is considered in the heating judgment, the accuracy of heating judgment is further improved, dependence on experience of management staff is reduced, and human resource consumption is also saved.
Claims (10)
1. A method for determining heat generation based on grain bin temperature, the method comprising:
step 1, acquiring the temperature of each monitoring point position of a granary, wherein a plurality of monitoring points form a monitoring network, and the monitoring networks are distributed at different heights of the granary;
step 2, judging heating conditions of each monitoring point by the following steps:
step 21, determining the granary type and the point type of the current monitoring point, wherein the point type comprises a hot skin point and a cold core point;
step 22, determining a plurality of corresponding preset ranges and a plurality of thresholds according to the granary type and the point location type;
when the temperature is in the temperature rising season, judging the heating condition of the current monitoring point according to the current temperature and the historical temperature of the current monitoring point and the corresponding preset range and threshold;
when the temperature is in the temperature reduction season, judging the heating condition of the current monitoring point according to the current temperature of the current monitoring point, the current temperature and the historical temperature of other monitoring points of the same point type in the monitoring network to which the current monitoring point belongs, and the corresponding preset range and threshold value.
2. The grain bin temperature based heating determination method according to claim 1, wherein in step 22, the preset range includes a first preset range to an eighth preset range, and the threshold includes a first threshold to an eleventh threshold;
when the temperature is in the temperature rising season, judging the heating condition of the current monitoring point according to the current temperature and the historical temperature of the current monitoring point and the corresponding preset range and threshold value, and specifically comprising the following steps:
if the current temperature of the current monitoring point is in the first preset range, judging that the current monitoring point does not generate heat;
if the current temperature of the current monitoring point is in the second preset range, continuously rising the temperature N days before the current monitoring point and the average daily rising temperature is greater than or equal to a first threshold value, judging that the current monitoring point generates heat;
if the current temperature of the current monitoring point is in the third preset range, continuously rising the temperature N days before the current monitoring point and the average daily rising temperature is greater than or equal to a second threshold value, judging that suspected fever exists in the current monitoring point;
if the current temperature of the current monitoring point is in a fourth preset range, continuously rising the temperature N days before the current monitoring point and the average daily rising temperature is greater than or equal to a third threshold value, judging that suspected fever exists in the current monitoring point;
if the current temperature of the current monitoring point is in a fifth preset range, continuously rising the temperature N days before the current monitoring point and the average daily rising temperature is greater than or equal to a fourth threshold value, judging that suspected fever exists in the current monitoring point;
if the current temperature of the current monitoring point is in a sixth preset range and the average daily rising temperature is greater than or equal to a fifth threshold, judging that the current monitoring point generates heat;
if the current temperature of the current monitoring point is in the seventh preset range, judging that the current monitoring point generates heat.
3. The method for determining heat generation based on granary temperature according to claim 2, further comprising, after determining that the current monitoring point has suspected heat generation:
and comparing the temperature of the current monitoring point for n+2 days, the temperature of the current monitoring point for n+1 days and the temperature of the current monitoring point for N days, judging whether the temperature reduction in one day exceeds a sixth threshold or the total temperature reduction exceeds a seventh threshold, and if so, judging that the current monitoring point does not generate heat.
4. The method for determining heat generation based on granary temperature according to claim 2, wherein in step 22, when the temperature is in a season of decreasing temperature, the heat generation condition of the current monitoring point is determined according to the current temperature of the current monitoring point, the current temperature and the historical temperature of other monitoring points of the same point type in the monitoring network to which the current monitoring point belongs, and the corresponding preset range and threshold value, specifically including:
if the current temperature of the current monitoring point is in the eighth preset range, judging that the current monitoring point does not generate heat;
if the difference value between the last average temperature and the current average temperature of all the monitoring points of the same point type in the monitoring network to which the current monitoring point belongs is larger than an eighth threshold value, but the difference value between the last temperature of any monitoring point of the same point type and the current temperature of the current monitoring point is smaller than a ninth threshold value, judging that the current monitoring point has heating;
if the average current temperature of all the monitoring points of the same point type is smaller than the tenth threshold value in the monitoring network to which the current monitoring point belongs, but the current temperature of the current monitoring point is larger than the eleventh threshold value, judging that the current monitoring point generates heat.
5. A method for determining the temperature of a grain bin according to claim 2 or 3, wherein when the temperature of the monitoring point is obtained a plurality of times a day, the temperature of the monitoring point on a certain day is an average of the temperatures obtained a plurality of times a day.
6. The grain bin temperature based heating determination method of claim 1, further comprising:
and after judging that the current monitoring point position has heat, sending out a first-stage heat early warning to the current monitoring point position, and after judging that the current monitoring point position has heat, sending out a second-stage heat early warning to the current monitoring point position.
7. The grain bin temperature based heating determination method of claim 1, further comprising:
after the temperature of each monitoring point position of the granary is obtained, error temperature data and distortion temperature data are screened out, and heating judgment is not carried out according to the error temperature data and the distortion temperature data.
8. The grain bin temperature-based heating determination method of claim 1, wherein determining a corresponding plurality of preset ranges and a plurality of thresholds according to the grain bin type and the point location type, comprises:
and respectively determining the heat transfer quantity and the air heat transfer quantity of grain piles of different grain bin types before and after ventilation, and determining a plurality of preset ranges and a plurality of thresholds corresponding to each position type under the corresponding grain bin type according to the heat transfer quantity and the air heat transfer quantity of the grain piles.
9. The method for determining heat generation based on grain bin temperature according to claim 8, wherein the calculation formula of the grain pile heat transfer amount is as follows:
；
wherein Δq represents the heat transfer amount of the grain bulk, C 1 、m 1 And T 1 Respectively representing the specific heat, the mass and the average temperature of grains in the granary before ventilation, C 2 、m 2 And T 2 Respectively representing the specific heat, the mass and the average temperature of grains in the granary after ventilation;
wherein, the calculation formula of specific heat of the grain is as follows:
；
wherein C represents the specific heat of the grain, and w represents the moisture of the grain;
the calculation formula of the air heat transfer quantity is as follows:
；
wherein ΔI represents the air heat transfer amount, t 1 And t 2 Respectively represent the average temperature of the air in the granary before and after ventilation, d 1 And d 2 Respectively representing the absolute humidity content, V of the air in the granary before and after ventilation H1 Represents the specific volume of the wet air at the air outlet after ventilation, V H2 The wet air specific volume of the air inlet before ventilation is shown, and the ventilation quantity is shown by Q.
10. The grain bin temperature based heating determination method of claim 1, further comprising:
determining heating parts and heating types of the granary according to heating judgment results of all monitoring points, wherein the heating types comprise local heating and single-point heating;
determining corresponding heat treatment measures according to the heat generating part and the heat generating type, wherein the heat treatment measures at least comprise: fumigating or air conditioning treatment, local suction type mechanical aeration cooling or dewatering treatment, and local aeration or suction type local grain treatment.
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