A grain depot intelligent ventilation identification method and system
By calculating the relative balance humidity and ventilation discrimination coefficient of grain, combined with the specific algorithm of grain type, the problem of large ventilation discrimination error of the existing technology COFCO warehouse is solved, the precise temperature and humidity control of different grains is achieved, and the grain warehouse is improved. Accuracy and adaptability of environmental management.
Patent Information
- Application Number
- CN202210857000.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-07-20
- Publication Date
- 2024-12-10
- Estimated Expiration
- 2042-07-20
AI Technical Summary
The existing intelligent ventilation system of the grain warehouse is difficult to accurately reflect the internal temperature and humidity of the grain, resulting in large errors in ventilation judgment, and lack of adaptability to different types of grain, so it is impossible to effectively control the internal temperature and humidity of the grain warehouse.
By collecting the atmospheric environment outside the grain warehouse and the temperature and humidity information inside the grain warehouse, the relative balance humidity and ventilation discrimination coefficient of the grain are calculated, and ventilation mode judgment and automatic selection are carried out in combination with algorithms for specific grain types.
It improves the accuracy and accuracy of ventilation judgment, can carry out targeted ventilation control for different types of grain, reduce errors, and enhances the management ability of temperature and humidity in the grain warehouse.
Smart Images
Figure CN115146214B_ABST
Abstract
Description
Technical Field
[0001] The invention belongs to the technical field of grain depot management, and in particular relates to a grain depot intelligent ventilation identification method and system. Background Art
[0002] As the world's most populous country, China has a national grain inventory of more than 910 million tons in order to cope with unpredictable natural disasters. In the process of storing grain, it is necessary to avoid problems such as excessive temperature and humidity in the grain warehouse to prevent the grain from getting moldy and deteriorating. Therefore, it is necessary to install an intelligent ventilation system in the grain warehouse to control the temperature and humidity in the grain warehouse.
[0003] The existing intelligent ventilation system for grain depots uses sensors to measure the temperature and humidity of the environment inside and outside the grain depot, and directly compares and judges the collected temperature and humidity information of the outside and inside of the grain depot using a unified ventilation judgment method to determine the ventilation mode of the grain depot.
[0004] However, the above methods are difficult to adapt to the requirements of modern grain storage. First of all, the temperature and humidity of the internal environment of the grain depot are very different from the temperature and humidity inside the grain pile. In many cases, the temperature inside the warehouse is low while the temperature and humidity inside the grain pile is high. Therefore, it is very unfavorable for scientific grain storage to only rely on the temperature and humidity difference between the internal and external environments of the grain depot to determine the ventilation conditions, and sometimes it may have a negative effect. Secondly, the existing technology only uses a general ventilation discrimination method for ventilation discrimination. It does not give whether it is suitable for a certain type of grain, and its adaptability needs to be confirmed. In addition, the collected temperature and humidity data are directly used to determine the ventilation rules. The collected data cannot truly reflect the actual data inside the grain. Although there is a certain connection between the two, there is a large dispersion. Using directly collected data instead of actual grain data for discrimination will result in too large an error and too low precision.
[0005] Therefore, the present invention provides an intelligent ventilation identification method to solve the problems in the prior art that the measurement data is unreliable, the ventilation identification method is not targeted, and the collected data cannot truly reflect the actual data inside the grain. Summary of the invention
[0006] In order to overcome the deficiencies of the above-mentioned prior art, the present invention provides a method and system for intelligent ventilation identification of a grain warehouse.
[0007] In order to achieve the above object, the present invention provides the following technical solutions:
[0008] Collect information on the ambient temperature and relative humidity of the atmosphere outside the grain depot, the temperature and relative humidity inside the grain depot, and the temperature and relative humidity of the grain pile;
[0009] The relative equilibrium humidity of grain is calculated by the following formula:
[0010] Bh 粮 =t 粮 *a+Rh 粮 *bc
[0011] Bh 粮 is the relative equilibrium humidity of grain, t 粮 is the temperature of the grain pile, Rh 粮 is the relative humidity of the grain pile, a, b, c are calculation coefficients, and different types of grain have different coefficients;
[0012] The ventilation discrimination coefficient is calculated based on the relative humidity of the atmospheric environment outside the grain depot, the atmospheric environment temperature outside the grain depot, and the temperature of the grain pile;
[0013] The ventilation conditions are judged based on the ventilation discrimination coefficient, relative equilibrium humidity of grain, grain temperature, and ambient temperature of the atmosphere outside the grain warehouse, and the ventilation mode is automatically selected based on the calculation results.
[0014] Furthermore, the relative equilibrium humidity of wheat is calculated as: Bh 粮 =t 粮 *0.55+Rh 粮 *6.33-38.2;
[0015] The relative equilibrium humidity of corn is calculated as: Bh 粮 =t 粮 *0.51+Rh 粮 *6.57-40.3;
[0016] The relative equilibrium humidity of rice is calculated as: Bh 粮 =t 粮 *0.58+Rh 粮 *6.75-40.4;
[0017] The relative equilibrium humidity of soybeans is calculated as: Bh 粮 =t 粮 *0.32+Rh 粮 *4.66-4.51.
[0018] The calculation formula of ventilation discrimination coefficient is:
[0019] B=Rh 大气 +ε
[0020] B is the ventilation discrimination coefficient, Rh 大气 is the relative humidity of the atmosphere outside the grain depot, ε is the transition value;
[0021] The calculation formula of transition value ε is:
[0022] ε=0.0497*(t 大气 -t粮 )
[0023] t 大气 is the ambient temperature of the atmosphere outside the grain depot, t 粮 The temperature of the grain pile.
[0024] Furthermore, the ventilation modes include: cooling ventilation, precipitation ventilation, conditioning ventilation and heat removal ventilation.
[0025] Furthermore, the cooling and ventilation start-up conditions are: the ventilation discrimination coefficient is less than or equal to the relative equilibrium humidity of the grain, and the difference between the grain pile temperature and the external ambient temperature of the grain depot is greater than a certain threshold;
[0026] The precipitation ventilation opening condition is: the ventilation discrimination coefficient is less than the relative equilibrium humidity of grain, and the ventilation discrimination coefficient is less than 1;
[0027] The condition for opening the conditioning ventilation is: the ventilation discrimination coefficient is greater than the relative equilibrium humidity of the grain, and the ventilation discrimination coefficient is less than 1, and the ambient temperature outside the warehouse is less than the safe grain storage temperature;
[0028] The heat removal ventilation start-up condition is: the difference between the ambient temperature inside the warehouse and the ambient temperature outside the warehouse is greater than a certain threshold, and the calculated temperature is lower than the ambient temperature outside the warehouse.
[0029] Furthermore, the calculation formula for the calculated temperature is: tL=t+1 / 0.0675*ln(a*t+b*w+c)
[0030] Wherein tL is the calculated temperature; t is the grain pile temperature;
[0031] w is the moisture content of grain, which is calculated by the relative humidity of grain. The calculation formula is:
[0032] w=(Ra*tc) / b
[0033] Among them, R is the relative humidity of grain.
[0034] An intelligent ventilation system for a grain depot, characterized in that the system comprises:
[0035] Data acquisition module, used to collect information on atmospheric temperature and humidity, temperature and humidity inside the grain depot, and temperature and humidity of the grain pile;
[0036] The data processing module is used to calculate the relative equilibrium humidity and ventilation discrimination coefficient of grains and send the data to the ventilation rule judgment module;
[0037] The ventilation rule judgment module is used to judge the ventilation conditions according to the ventilation judgment coefficient, the relative equilibrium humidity of grain, the grain temperature, and the atmospheric environment temperature outside the grain depot, and transmit the judgment result to the ventilation control module;
[0038] Ventilation control module, used to ventilate the grain warehouse;
[0039] Among them, the relative equilibrium humidity of grain is calculated by the following formula:
[0040] Bh 粮 =t 粮 *a+Rh 粮 *bc
[0041] Bh 粮 is the relative equilibrium humidity of grain, t 粮 is the temperature of the grain pile, Rh 粮 is the relative humidity of the grain pile, a, b, c are calculation coefficients, and different types of grain have different coefficients;
[0042] Among them, the ventilation discrimination coefficient is calculated based on the relative humidity of the atmospheric environment outside the grain depot, the atmospheric environment temperature outside the grain depot, and the temperature of the grain pile.
[0043] Furthermore, the data acquisition module includes: a weather box, in which a temperature and humidity sensor is arranged.
[0044] The intelligent ventilation identification method provided by the present invention has the following beneficial effects:
[0045] The collected information includes not only the temperature and humidity information of the external atmospheric environment and the temperature and humidity information inside the grain warehouse, but also the temperature and humidity information of the grain pile. The conclusions obtained by using multiple information are more reliable. Compared with using the directly collected temperature and humidity information to judge the ventilation, the relative equilibrium humidity of the grain has smaller errors and higher accuracy. The calculation of relative equilibrium humidity adopts different algorithms for different types of grain, so the ventilation conditions of the grain pile can be judged in a targeted manner. BRIEF DESCRIPTION OF THE DRAWINGS
[0046] In order to more clearly illustrate the embodiment of the present invention and its design scheme, the following briefly introduces the drawings required for this embodiment. The drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.
[0047] Figure 1 This is a flow chart of an intelligent ventilation identification method according to Example 1 of the present invention.
[0048] Figure 2 This is a schematic diagram of an intelligent ventilation identification system according to Example 2 of the present invention. DETAILED DESCRIPTION
[0049] In order to enable those skilled in the art to better understand the technical solution of the present invention and implement it, the present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and cannot be used to limit the scope of protection of the present invention.
[0050] In the description of the present invention, it is to be understood that the terms “center”, “longitudinal”, “lateral”, “length”, “width”, “thickness”, “up”, “down”, “front”, “back”, “left”, “right”, “vertical”, “horizontal”, “top”, “bottom”, “inside”, “outside”, “axial”, “radial”, “circumferential”, etc., indicating orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, are only for the convenience of describing the technical solutions of the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.
[0051] In addition, the terms "first", "second", etc. are used for descriptive purposes only and are not to be understood as indicating or implying relative importance. In the description of the present invention, it should be noted that, unless otherwise clearly specified or limited, the terms "connected" and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to the specific circumstances. In the description of the present invention, unless otherwise specified, "plurality" means two or more, which will not be described in detail here.
[0052] Embodiment 1:
[0053] The present invention provides a method for distinguishing intelligent ventilation of a grain depot, specifically Figure 1 As shown, the temperature and relative humidity information of the atmospheric environment outside the grain depot, the temperature and relative humidity information inside the grain depot, and the temperature and relative humidity information of the grain pile are collected; based on the collected information, the relative equilibrium humidity of the grain is calculated, and the calculation algorithm is: Bh 粮 =t 粮 *a+Rh 粮 *bc, where Bh 粮 is the relative equilibrium humidity of grain, t 粮 is the temperature of the grain pile, Rh 粮is the relative humidity of the grain pile, a, b, c are calculation coefficients, and the coefficients are different for different types of grains; the ventilation discrimination coefficient is calculated according to the relative humidity of the atmospheric environment outside the grain depot, the atmospheric environment temperature outside the grain depot, and the temperature of the grain pile; the ventilation conditions are judged according to the ventilation discrimination coefficient, the relative equilibrium humidity of the grain, the grain temperature, and the atmospheric environment temperature outside the grain depot, and the ventilation mode is automatically selected according to the calculation results, and ventilation measures are given.
[0054] This embodiment collects the temperature and humidity information of the environment inside and outside the grain warehouse and the temperature and humidity information inside the grain pile. According to different types of grain, a specific calculation method is used to make the collected data more accurate and reliable. In particular, the humidity information inside the grain pile, the data collected by the sensor is generally relative humidity. When judging the ventilation of the grain, if this information is directly used, it will cause a large error, and may even obtain an erroneous ventilation judgment result. Therefore, the present invention converts the collected relative humidity data inside the grain pile to obtain the relative equilibrium humidity of the grain, and then judges the ventilation conditions. Different types of grain have different ventilation conditions, so different discrimination algorithms are used for discrimination.
[0055] The temperature of the grain pile mentioned in this embodiment is the temperature in the middle of the grain pile, which is measured by a measuring device; a, b, and c are coefficients obtained through a large number of experiments; when implementing this method, it is necessary to place temperature and humidity sensors at multiple locations of the grain pile to obtain more extensive data as support.
[0056] Specifically, the relative equilibrium humidity calculation formulas for different grains are: Wheat: Bh 粮 =t 粮 *0.55+Rh 粮 *6.33-38.2; Corn: Bh 粮 =t 粮 *0.51+Rh 粮 *6.57-40.3; Rice: Bh 粮 =t 粮 *0.58+Rh 粮 *6.75-40.4; soybean: Bh 粮 =t 粮 *0.32+Rh 粮 *4.66-4,51.
[0057] Specifically, the calculation method of the ventilation discrimination coefficient is: B = Rh 大气 +ε, where B is the ventilation discrimination coefficient, Rh 大气 is the relative humidity of the atmosphere outside the grain depot, ε is the transition value; the calculation method of the transition value ε is: ε=0.0497*(t 大气 -t 粮 ), where t 大气is the ambient temperature of the atmosphere outside the grain depot, t 粮 The temperature of the grain pile.
[0058] Specifically, the ventilation modes include: cooling ventilation, precipitation ventilation, conditioning ventilation and heat removal ventilation.
[0059] Specifically, the conditions for opening cooling ventilation are: the ventilation discrimination coefficient is less than or equal to the relative equilibrium humidity of grain, and the difference between the temperature of the grain pile and the external ambient temperature of the grain warehouse is greater than a certain threshold. The conditions for opening precipitation ventilation are: the ventilation discrimination coefficient is less than the relative equilibrium humidity of grain, and the ventilation discrimination coefficient is less than 1. The conditions for opening conditioning ventilation are: the ventilation discrimination coefficient is greater than the relative equilibrium humidity of grain, and the ventilation discrimination coefficient is less than 1, and the ambient temperature outside the warehouse must be lower than the safe grain storage temperature. The conditions for starting ventilation to remove heat accumulation are: the difference between the ambient temperature inside the warehouse and the ambient temperature outside the warehouse is greater than a certain threshold, and the calculated temperature is lower than the ambient temperature outside the warehouse.
[0060] Specifically, the calculation method of the temperature is: tL=t+1 / 0.0675*ln(a*t+b*w+c), where tL is the calculation temperature; t is the upper temperature of the grain pile; a, b, c are calculation coefficients, and the coefficients are different for different types of grains; w is the moisture content of the grain, which can be calculated through the relative humidity of the grain, and the calculation algorithm is: w=(Ra*tc) / b, where R is the relative humidity of the grain.
[0061] Specifically, when judging ventilation conditions, the type of grain must be set first before the corresponding ventilation condition judgment can be initiated, and different ventilation judgment conditions are used for different types of grain.
[0062] After calculating the ventilation judgment conditions, the system will automatically display them through the display unit and send the results to the management personnel through wireless communication equipment. After receiving the information, the management personnel will confirm it. After confirmation, the judgment system will automatically receive the confirmation information and then work according to the corresponding ventilation mode. In addition, the information detection and ventilation condition judgment of the ventilation judgment system are carried out in real time. Once the ventilation conditions are calculated to have changed, the information will be sent to the management personnel again. The system can change the ventilation mode only after the management personnel confirms it.
[0063] Embodiment 2:
[0064] like Figure 2 As shown, the present invention provides a grain depot intelligent ventilation identification system, comprising:
[0065] The data acquisition module is used to collect atmospheric environment temperature and humidity information, internal temperature and humidity information of the grain depot, and temperature and humidity information of the grain pile; the data processing module is used to calculate the relative equilibrium humidity of the grain and the ventilation discrimination coefficient, and send the data to the ventilation rule judgment module; the ventilation rule judgment module is used to judge the ventilation conditions according to the ventilation discrimination coefficient, the relative equilibrium humidity of the grain, the grain temperature, and the atmospheric environment temperature outside the grain depot, and transmit the judgment result to the ventilation control module; the ventilation control module is used to ventilate the grain depot; wherein, the relative equilibrium humidity of the grain is calculated by the following formula: Bh Grain = t Grain * a + Rh Grain * b - c Bh Grain is the relative equilibrium humidity of the grain, t Grain is the temperature of the grain pile, Rh Grain is the relative humidity of the grain pile, a, b, c are calculation coefficients, and different types of grain have different coefficients; wherein, the ventilation discrimination coefficient is calculated according to the relative humidity of the atmospheric environment outside the grain depot, the atmospheric environment temperature outside the grain depot, and the temperature of the grain pile.
[0066] Preferably, the data acquisition module includes: a weather box, in which a temperature and humidity sensor is arranged. When collecting temperature and humidity information outside the grain depot, the temperature and humidity sensor is placed in the weather box for collection, which can improve the accuracy of the collection. In order to avoid the problem of excessive signal voltage drop due to the long collection line, wireless transmission is used for the collection of all temperature and humidity information, which avoids the result deviation caused by the voltage drop caused by the line.
[0067] The embodiments described above are only preferred specific implementation modes of the present invention, and the protection scope of the present invention is not limited thereto. Any simple changes or equivalent replacements of the technical solutions that can be obviously obtained by any technician familiar with the field within the technical scope disclosed in the present invention belong to the protection scope of the present invention.
Claims
1. A method for distinguishing intelligent ventilation in grain depots. It is characterized in that include: Collect information on the ambient temperature and relative humidity of the atmosphere outside the grain depot, the temperature and relative humidity inside the grain depot, and the temperature and relative humidity of the grain pile; The relative equilibrium humidity of grain is calculated by the following formula: Bh 粮 =t 粮 *a+Rh 粮 *b-c Bh 粮 is the relative equilibrium humidity of grain, t 粮 is the temperature of the grain pile, Rh 粮 is the relative humidity of the grain pile, a, b, c are calculation coefficients, and different types of grain have different coefficients; The ventilation discrimination coefficient is calculated based on the relative humidity of the atmospheric environment outside the grain depot, the atmospheric environment temperature outside the grain depot, and the temperature of the grain pile; The ventilation conditions are judged based on the ventilation discrimination coefficient, the relative equilibrium humidity of grain, grain temperature, and the ambient temperature of the atmosphere outside the grain depot, and the ventilation mode is automatically selected based on the calculation results; The ventilation modes include: cooling ventilation, precipitation ventilation, conditioning ventilation and heat removal ventilation; The cooling ventilation opening condition is: the ventilation discrimination coefficient is less than or equal to the relative equilibrium humidity of the grain, and the difference between the grain pile temperature and the external ambient temperature of the grain depot is greater than a certain threshold; The precipitation ventilation opening condition is: the ventilation discrimination coefficient is less than the relative equilibrium humidity of grain, and the ventilation discrimination coefficient is less than 1; The condition for opening the conditioning ventilation is: the ventilation discrimination coefficient is greater than the relative equilibrium humidity of the grain, and the ventilation discrimination coefficient is less than 1, and the ambient temperature outside the warehouse is less than the safe grain storage temperature; The heat removal ventilation opening condition is: the difference between the ambient temperature inside the warehouse and the ambient temperature outside the warehouse is greater than a certain threshold, and the calculated temperature is lower than the ambient temperature outside the warehouse; The calculation formula for the calculated temperature is: tL=t+1 / 0.0675*ln(a*t+b*w+c) Wherein tL is the calculated temperature; t is the grain pile temperature; w is the moisture content of grain, which is calculated by the relative humidity of grain. The calculation formula is: w=(Ra*tc) / b Among them, R is the relative humidity of grain; Among them, when judging the ventilation conditions, the grain type is set, the corresponding ventilation condition judgment is started, and different ventilation judgment conditions are adopted for different grain types; after the ventilation judgment conditions are calculated, the system will automatically display them through the display unit, and send the results to the management personnel through the wireless communication equipment. After receiving the information, the management personnel will confirm it. After confirmation, the judgment system will automatically receive the confirmation information and work according to the corresponding ventilation mode. The information detection and ventilation condition judgment of the ventilation judgment system are carried out in real time. Once the ventilation opening conditions are calculated to have changed, the information will be sent to the management personnel again. The system can change the ventilation mode only after the management personnel confirms it. The calculation formula of the ventilation discrimination coefficient is: B=Rh 大气 +e B is the ventilation discrimination coefficient, Rh 大气 is the relative humidity of the atmosphere outside the grain depot, ε is the transition value; The calculation formula of the transition value ε is: ε=0.0497*(t 大气 -t 粮 ) t 大气 is the ambient temperature of the atmosphere outside the grain depot, t 粮 The temperature of the grain pile.
2. The method according to claim 1, It is characterized in that The relative equilibrium humidity of wheat is calculated as: Bh 粮 =t 粮 *0.55+Rh 粮 *6.33-38.2; The relative equilibrium humidity of corn is calculated as: Bh 粮 =t 粮 *0.51+Rh 粮 *6.57-40.3; The relative equilibrium humidity of rice is calculated as: Bh 粮 =t 粮 *0.58+Rh 粮 *6.75-40.4; The relative equilibrium humidity of soybeans is calculated as: Bh 粮 =t 粮 *0.32+Rh 粮 *4.66-4.51.