Automatic regulation and control system and method for tea seed oil storage environment
Through the meteorological data division time periods and temperature sensors, abnormal storage tanks are identified and the best temperature control equipment is selected, which solves the problem of unstable temperature control in tea seed oil storage, and realizes efficient and intelligent temperature management to ensure the quality and energy-saving tea seed oil.
Patent Information
- Application Number
- CN202510529981.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-25
- Publication Date
- 2025-07-29
AI Technical Summary
During the storage of existing tea seed oil, the temperature control response speed is slow and the efficiency is low, resulting in unstable oil oxidation and quality, lack of intelligent temperature monitoring and dynamic adjustment, and unable to deal with external temperature fluctuations in a timely manner.
Through meteorological data, different temperature data acquisition frequencies are set, temperature sensors are installed, abnormal storage tanks are identified and optimal temperature control equipment is selected, automatic adjustment and alarm mechanism is realized, and tea seed oil is stored within the optimal temperature range.
It realizes efficient management of tea seed oil storage environment, improves quality stability and shelf life, reduces energy waste, and improves the intelligence level and storage efficiency of the system.
Smart Images

Figure CN120386406A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of regulation and control, and specifically to an automatic regulation and control system and method for the storage environment of camellia seed oil. Background Technique
[0002] As a high-value vegetable oil, camellia seed oil has high nutritional value and broad application prospects. In order to ensure that camellia seed oil maintains its original nutritional components and quality during temporary storage, the temperature control of the storage environment is crucial. During the temporary storage after the production of camellia seed oil, temperature fluctuations will cause oxidation, deterioration and other chemical reactions of the oil, thus affecting its quality. Therefore, how to effectively control the storage environment of camellia seed oil, especially the temperature change, has always been an important issue in the camellia seed oil industry.
[0003] At present, the temperature control methods for the storage of camellia seed oil mostly rely on temperature data monitoring, but there are problems such as slow response speed, low efficiency and energy waste. Traditional methods usually fail to achieve precise real-time regulation of the temperature of the storage environment. Especially when the external temperature fluctuates greatly, it is difficult to ensure the stability of the temperature of the camellia seed oil storage environment, thus affecting the quality stability of camellia seed oil. In addition, most of the existing technologies lack intelligent temperature monitoring and control mechanisms, are unable to dynamically adjust the working state of the temperature control equipment according to different environmental conditions, and also fail to provide timely warnings and automatic processing in case of abnormal temperature. Summary of the Invention
[0004] Aiming at the deficiencies of the prior art, the present invention provides an automatic regulation and control system and method for the storage environment of camellia seed oil, which solves the problems in the background technique.
[0005] To achieve the above object, the present invention is realized through the following technical solutions: An automatic regulation and control system for the storage environment of camellia seed oil, comprising: A time period division module, which obtains the outdoor temperature data of a future set time period through meteorological data, and divides the future set time period into a large temperature difference time period and a stable temperature difference time period in advance according to the outdoor temperature data of the future set time period and the optimal temperature for storing camellia seed oil; The future set time period includes n cycle time periods, where n is a preset value; A frequency setting module, which is used to install temperature sensors on all storage tanks in the temporary storage environment, and set different frequencies for collecting temperature data in the large temperature difference time period and the stable temperature difference time period in the future set time period; The temperature data collection means collecting the temperature of the temperature sensors installed on all storage tanks once. A temperature judgment module, which is used to analyze the temperature data collected each time according to different time periods, and determine the temperature-abnormal storage tanks and the types of temperature control equipment; The types of temperature control equipment include heating equipment and cooling equipment; An optimal temperature control equipment determination module, which is used to obtain the abnormal storage tank, and determine the optimal temperature control equipment in the types of temperature control equipment according to the time difference of receiving the signal emitted by the abnormal storage tank for all temperature control equipment in the determined types of temperature control equipment; A range determination module, which is used to determine the optimal equipment control storage tank affected by the optimal temperature control equipment; An equipment adjustment module, which is used to analyze the temperature of the optimal equipment control storage tank, and automatically adjust the optimal temperature control equipment according to the analysis result, and determine the problem storage tank at the same time.
[0006] As a further solution of the present invention: In the time period division module, the specific method of dividing the future set time period into a large temperature difference time period and a stable temperature difference time period is: Obtain the optimal temperature for storing camellia seed oil, denoted as Cz; Record the outdoor temperature in each cycle time period in the future set time period as Si, where 1≤i≤n; Compare Si with the preset value G1: If the absolute difference between Cz and Si exceeds the preset value G1, then divide this cycle time period into a large temperature difference time period; If the absolute difference between Cz and Si does not exceed the preset value G1, then divide this cycle time period into As a further solution of the present invention: In the frequency setting module, the specific method of setting different frequencies for collecting temperature data in the large temperature difference time period and the stable temperature difference time period in the future set time period is: If in the large temperature difference time period, set to collect temperature data every T1 time period; If in the stable temperature difference time period, set to collect temperature data every T2 time period; Wherein, T1 and T2 are preset values, and T1<T2.
[0007] As a further solution of the present invention: In the temperature judgment module, the specific method of analyzing the temperature data collected each time according to different time periods to determine the temperature-abnormal storage tanks and the types of temperature control equipment is: Obtain the temperatures of all storage tanks, and denote them as Wj, 1≤j≤m, where m represents the total number of storage tanks; Calculate the absolute difference Qj between Wj and the optimal temperature Cz for storing camellia seed oil: If in the large temperature difference time period, when the absolute difference Qj exceeds the preset value G1, then mark the corresponding storage tank as an abnormal storage tank; If in a period of stable temperature difference, when the absolute difference Qj exceeds the preset value G2, the corresponding storage tank is marked as an abnormal storage tank; wherein, G2 > G1; After determining the abnormal storage tank, calculate the difference Cj between Wj and the optimal temperature Cz for storing camellia seed oil: When Cj is negative, the type of temperature control device is a heating device; When Cj is positive, the type of temperature control device is a cooling device.
[0008] As a further solution of the present invention: In the optimal temperature control device determination module, the specific method for determining the optimal temperature control device among the types of temperature control devices is: Install a signal receiving and transmitting device in the temperature sensor of each storage tank. When the storage tank is marked as an abnormal storage tank, actively transmit a signal with a unique identifier, and record the time point when the signal occurs; At the same time, install signal receiving and transmitting devices on each temperature control device among the determined types of temperature control devices; Confirm the time difference between the time point when each temperature control device receives the unique identifier signal and the recorded signal occurrence time point, and mark it as Hv, where v = 1, 2,..., s, and s represents the number of temperature control devices in this type of temperature control device; Obtain the smallest time difference among the s time differences, mark it as Hv-min, and at the same time determine the corresponding temperature control device as the optimal temperature control device.
[0009] As a further solution of the present invention: In the range determination module, the specific method for determining the optimal device control storage tank affected by the optimal temperature control device is: When starting the optimal temperature control device, transmit an influence signal to the storage tank through the signal receiving and transmitting device installed on the optimal device, and record this time point as the start time point; Obtain the time points when the signal receiving and transmitting devices of all storage tanks receive the influence signal, calculate the time differences between the time points when all storage tanks receive the influence signal and the start time point, and compare the results with Hv-min respectively to determine all time differences less than Hv-min; According to all time differences less than Hv-min, obtain the corresponding storage tanks, and uniformly mark them as the optimal device control storage tanks.
[0010] As a further solution of the present invention: In the device adjustment module, the method for analyzing the temperature of the optimal device control storage tank, automatically adjusting the shutdown of the optimal temperature control device according to the analysis result, and at the same time determining the problem storage tank is: Acquire the temperature data of the abnormal storage tank in real time. When the temperature data of the abnormal storage tank is at the optimal temperature, obtain the temperature of all the currently optimal equipment-controlled storage tanks and record it as Yk, where 1≤k≤N, and N represents the total number of all optimal equipment-controlled storage tanks. Then calculate the average temperature of all optimal equipment controlled storage tanks, marked as Wp; According to the average value Wp and the temperature Yk of each optimal device control storage tank, the deviation value Z is determined by the standard deviation formula, and the deviation value Z is compared with the preset value Qs: If Z≤Qs, it means that the deviation value Z is within a reasonable range, indicating that all storage tanks controlled by the best equipment are within a reasonable temperature range. At this time, the best temperature control equipment should be adjusted to energy-saving mode or shut down. If Z>Qs, it means the deviation value Z is too large; When the deviation value Z is too large, the temperatures Yk of all the currently optimal equipment control storage tanks are sorted in descending order according to |Yk-Cp|. Each time the first-ranked Yk is obtained, it is deleted. After deletion, the deviation value Z of the remaining Yk is recalculated until Z ≤ Qs; Then, the optimal device control storage tank corresponding to the deleted Yk is obtained and marked as a problem storage tank.
[0011] A method for automatically adjusting and controlling a tea seed oil storage environment, comprising: Step 1: Obtain outdoor temperature data for a future set period through meteorological data. Based on the outdoor temperature data for the future set period and the optimal temperature for storing tea seed oil, divide the future set period into a period with a large temperature difference and a period with a stable temperature difference. The future set period includes n periodic periods, where n is a preset value; Step 2: Install temperature sensors on all storage tanks in a temporary storage environment and set different frequencies for temperature data collection during periods of large temperature differences and stable temperature differences in the future set period; The temperature data collection means collecting the temperature of all the storage tanks with temperature sensors installed; Step 3: Analyze the temperature data collected each time according to different time periods to determine the storage tank with abnormal temperature and the type of temperature control equipment; The temperature control equipment types include heating equipment and cooling equipment; Step 4: Obtain the abnormal storage tank, and determine the best temperature control device among the determined temperature control device types based on the time difference between all temperature control devices in the determined temperature control device type receiving the signal transmitted by the abnormal storage tank; Step 5: Determine the optimal equipment control storage tank affected by the optimal temperature control equipment; Step 6: Analyze the temperature of the optimal equipment control storage tank. According to the analysis results, automatically adjust the optimal temperature control equipment and determine the problem storage tank at the same time.
[0012] The present invention provides an automatic adjustment control system and method for the tea seed oil storage environment. Compared with the prior art, it has the following beneficial effects: Through precise temperature monitoring and dynamic adjustment, the present invention realizes the efficient management of the tea seed oil storage environment; according to meteorological data, temperature changes and other information, the system intelligently divides time periods, sets the data acquisition frequency, selects the optimal temperature control equipment, and precisely controls the temperature of each storage tank to ensure that the tea seed oil is stored within the optimal temperature range, thereby improving the quality and shelf life of the tea seed oil while saving energy to a certain extent; In addition, through real-time temperature data analysis and equipment response optimization, the system can flexibly respond to changes in different storage environments, timely adjust the working state of the temperature control equipment, and avoid the impact of abnormal temperature on the quality of tea seed oil; at the same time, the alarm mechanism ensures that when a problem occurs, it can quickly notify the staff for inspection, further improving the reliability and intelligent level of the system, reducing the need for manual intervention, and enhancing the storage efficiency and energy conservation. Brief Description of the Drawings
[0013] The present invention will be further described below with reference to the accompanying drawings.
[0014] Figure 1 It is the structural flowchart of an automatic adjustment control system for the tea seed oil storage environment of the present invention; Figure 2 It is the step flowchart of an automatic adjustment control method for the tea seed oil storage environment of the present invention. Specific Embodiments
[0015] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0016] Embodiment 1 Please refer to Figure 1 , the present invention provides an automatic adjustment control system for the tea seed oil storage environment, including; The time period division module obtains the outdoor temperature data for a future set time period through meteorological data, and divides the future set time period into a large temperature difference time period and a stable temperature difference time period in advance according to the outdoor temperature data for the future set time period and the optimal temperature for storing camellia oil; The future set time period includes n periodic time periods, where n is a preset value, which is specifically set by professional staff. In this embodiment, each periodic time period is 1 hour; The specific method of obtaining the outdoor temperature data for the future set time period through meteorological data, and dividing the future set time period into a large temperature difference time period and a stable temperature difference time period in advance according to the outdoor temperature data for the future set time period and the optimal temperature of camellia oil is as follows: Obtain the optimal temperature for storing camellia oil, denoted as Cz; Record the outdoor temperature of each periodic time period in the future set time period as Si, where 1 ≤ i ≤ n; Compare Si with the preset value G1: If the absolute difference between Cz and Si exceeds the preset value G1, then divide this periodic time period into a large temperature difference time period; If the absolute difference between Cz and Si does not exceed the preset value G1, then divide this periodic time period into a stable temperature difference time period; Specifically, in the prior art, the outdoor temperature data for the future set time period can be specifically understood from meteorological data, and the temperature is generally determined every hour. For example, if the temperature displayed on the mobile phone is 21 degrees at 19:00 and 23 degrees at 20:00, then the outdoor temperature in this time period is determined as the average of the two as the outdoor temperature for this periodic time period, and then the absolute difference from the optimal temperature for storing camellia oil is calculated, and then it is judged whether this periodic time period is a large temperature difference time period or a stable temperature difference time period; It should be noted that when temporarily storing camellia oil, the camellia oil is generally placed in a temporary warehouse for temporary storage. However, the temporary warehouse is easily affected by the outdoor environment, especially when the temperature difference between the outdoor environment temperature and the temporary storage environment of camellia oil is large, the influence of the outdoor environment on the temporary warehouse is enhanced; The frequency setting module is used to install temperature sensors on all storage tanks in the temporary storage environment, and set different frequencies for collecting temperature data in the large temperature difference time period and the stable temperature difference time period in the future set time period; The temperature data collection means collecting the temperature of the temperature sensors installed on all storage tanks once; Specifically, if in the large temperature difference time period, it is set to collect temperature data every T1 time period; If in the stable temperature difference time period, it is set to collect temperature data every T2 time period; Wherein, T1 and T2 are preset values, and T1 < T2; It should be noted that during periods with large temperature differences, since the temperature in the temporary storage environment differs significantly from the outdoor temperature, the temperature in the temporary storage environment is affected relatively quickly. Conducting temperature data acquisition more frequently is conducive to promptly capturing temperature changes in the temporary storage environment. During periods with stable temperature differences, the temperature in the temporary storage environment is affected relatively slowly. By setting a lower frequency for temperature data acquisition once, the system can reduce unnecessary data recording and transmission, thereby saving storage space and computing resources; A temperature judgment module, configured to analyze the temperature data collected each time according to different periods, and determine the temperature-abnormal storage tanks and the types of temperature control devices; The types of temperature control devices include heating devices and cooling devices; The specific method for analyzing the temperature data collected each time according to different periods to determine the temperature-abnormal storage tanks and the types of temperature control devices is as follows: Obtain the temperatures of all storage tanks and denote them as Wj, where 1 ≤ j ≤ m, and m represents the total number of storage tanks; Calculate the absolute difference Qj between Wj and the optimal temperature Cz for storing camellia seed oil: If it is during a period with a large temperature difference, when the absolute difference Qj exceeds the preset value G1, then mark the corresponding storage tank as an abnormal storage tank. At this time, calculate the difference Cj between Wj and the optimal temperature Cz for storing camellia seed oil: When Cj is negative, the type of temperature control device is a heating device; When Cj is positive, the type of temperature control device is a cooling device; If it is during a period with a stable temperature difference, when the absolute difference Qj exceeds the preset value G2, then mark the corresponding storage tank as an abnormal storage tank. At this time, calculate the difference Cj between Wj and the optimal temperature Cz for storing camellia seed oil: When Cj is negative, the type of temperature control device is a heating device; When Cj is positive, the type of temperature control device is a cooling device; Wherein, G2 > G1; It should be noted that by setting different preset values in different periods, when the temperature difference is stable, the temperature changes relatively slowly, and the temperature control device responds and adjusts. When the temperature difference is large, the temperature changes relatively quickly, and the temperature control device needs to respond and adjust more promptly to reduce the impact of temperature fluctuations on the storage environment; The temperature judgment module analyzes the collected temperature data within different time periods, determines whether the temperature of each storage tank is abnormal, and determines the type of temperature control equipment to be used (heating equipment or cooling equipment); the beneficial effect of this module is reflected in its ability to accurately detect the temperature fluctuations of the storage tank, and set different temperature tolerance ranges according to the periods with large temperature differences or stable temperature differences, so as to flexibly respond to temperature changes; during the period with large temperature differences, the system can quickly detect abnormal temperatures and make timely decisions on heating or cooling; while during the period with stable temperature differences, the system adopts a more relaxed temperature judgment standard to avoid frequent intervention and reduce unnecessary temperature control operations; The optimal temperature control equipment determination module is used to obtain the abnormal storage tank, and determine the optimal temperature control equipment in the type of temperature control equipment according to the time difference of all temperature control equipment in the determined type of temperature control equipment receiving the signal emitted by the abnormal storage tank; The specific method of obtaining the abnormal storage tank and determining the optimal temperature control equipment in the type of temperature control equipment according to the time difference of all temperature control equipment in the determined type of temperature control equipment receiving the signal emitted by the abnormal storage tank is as follows: Install a signal receiving and transmitting device in the temperature sensor of each storage tank. When the storage tank is marked as an abnormal storage tank, it actively emits a signal with a unique identifier and records the signal occurrence time point; At the same time, install signal receiving and transmitting devices on each temperature control equipment in the determined type of temperature control equipment, and these devices will continuously scan for signals in the surrounding environment; Confirm the time difference between the time point when each temperature control equipment receives the unique identifier signal and the recorded signal occurrence time point, and mark it as Hv, where v = 1, 2,..., s, and s represents the number of temperature control equipment in this type of temperature control equipment; Obtain the smallest time difference among the s time differences, mark it as Hv-min, and at the same time determine the corresponding temperature control equipment as the optimal temperature control equipment; And start the optimal temperature control equipment to start the temperature adjustment work; The optimal temperature control equipment determination module selects the optimal temperature control equipment for temperature adjustment according to the response time difference of each temperature control equipment to the abnormal storage tank; the beneficial effect of this module is that it can not only select the temperature control equipment with the fastest response through accurate time difference analysis, but also ensure that the equipment can adjust the abnormal temperature in the most timely manner, ensuring that the storage environment of camellia seed oil is always in the best state; The range determination module is used to determine the optimal equipment control storage tank affected by the optimal temperature control equipment; The specific method of determining the optimal equipment control storage tank affected by the optimal temperature control equipment is as follows: When starting the optimal temperature control equipment, emit an influence signal to the storage tank through the signal receiving and transmitting device installed on the optimal equipment, and record this time point as the start time point; Obtain the time points when the signal receiving and transmitting devices of all storage tanks receive the influence signal, calculate the time differences between the time points when all storage tanks receive the influence signal and the start time point, and compare the results with Hv-min respectively to determine all time differences less than Hv-min; Based on all the time differences less than Hv-min, obtain the corresponding storage tanks and uniformly mark them as the best equipment control storage tanks; The equipment adjustment module is used to analyze the temperature of the best equipment control storage tanks. According to the analysis results, automatically adjust the shutdown of the best temperature control equipment and determine the problem storage tanks at the same time; The specific method of analyzing the temperature of the best equipment control storage tanks, automatically adjusting the shutdown of the best temperature control equipment according to the analysis results, and determining the problem storage tanks at the same time is as follows: Obtain the temperature data of abnormal storage tanks in real time. When the temperature data of abnormal storage tanks is already at the best temperature, obtain the temperature values of all current best equipment control storage tanks and record them as Yk, where 1≤k≤N, and N represents the total number of all best equipment control storage tanks; Then calculate the average temperature value of all best equipment control storage tanks and mark it as Wp; According to the average temperature value Wp and the temperature value Yk of each best equipment control storage tank, determine the deviation value Z through the standard deviation formula, and compare the deviation value Z with the preset value Qs: If Z≤Qs, it means that the deviation value Z is within a reasonable range, indicating that all best equipment control storage tanks are within a reasonable temperature range. At this time, adjust the best temperature control equipment to the energy-saving mode or turn off the best temperature control equipment; If Z>Qs, it means that the deviation value Z is relatively large; When it means that the deviation value Z is relatively large, sort the temperature Yk of all current best equipment control storage tanks in descending order according to |Yk-Cp|, and delete the Yk with the first rank each time. After deletion, recalculate the deviation value Z of the remaining Yk until Z≤Qs; Then obtain the best equipment control storage tank corresponding to the deleted Yk and mark it as the problem storage tank; This module can respond to temperature changes in real time, adjust the operating state of the temperature control equipment, and can also timely discover and handle problem storage tanks through the alarm system to ensure the continuous stability of the storage environment; The alarm module is used to obtain the problem storage tank and issue an alarm to notify the staff to check and handle it.
[0017] Embodiment 2 Refer to Figure 2, in the specific implementation process of this embodiment, based on Embodiment 1 and different from Embodiment 1, this embodiment also provides an automatic adjustment and control method for the storage environment of camellia oil, including: Step 1: Obtain the outdoor temperature data for a future set period through meteorological data. According to the outdoor temperature data for the future set period and the optimal temperature for storing camellia oil, divide the future set period in advance into a period with large temperature difference and a period with stable temperature difference; The future set period includes n cycle periods, where n is a preset value; Step 2: Install temperature sensors on all storage tanks in the temporary storage environment, and set different frequencies for collecting temperature data in the period with large temperature difference and the period with stable temperature difference in the future set period; The temperature data collection means collecting the temperature of the temperature sensors installed on all storage tanks once; Step 3: Analyze the temperature data collected each time according to the different periods, and determine the storage tanks with abnormal temperature and the types of temperature control equipment; The types of temperature control equipment include heating equipment and cooling equipment; Step 4: Obtain the abnormal storage tanks, and determine the optimal temperature control equipment in the types of temperature control equipment according to the time difference of receiving the signals emitted by the abnormal storage tanks by all the temperature control equipment in the determined types of temperature control equipment; Step 5: Determine the optimal equipment control storage tanks affected by the optimal temperature control equipment; Step 6: Analyze the temperature of the optimal equipment control storage tanks, and according to the analysis results, automatically adjust the optimal temperature control equipment, and at the same time determine the problem storage tanks; Step 7: Obtain the problem storage tanks, and issue an alarm to notify the staff to conduct inspections and handling.
[0018] Embodiment 3 In the specific implementation process of this embodiment, it includes all the implementation processes of the above two groups of embodiments.
[0019] Some of the data in the above formula are numerically calculated after removing their dimensions, and the content not described in detail in this specification belongs to the well-known prior art in the art.
[0020] The above embodiments are only used to illustrate the technical method of the present invention and not to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.
Claims
1. An automatic control system for adjusting the storage environment of camellia seed oil, characterized in that, Including: A time period division module, which obtains outdoor temperature data for a future set time period through meteorological data, and divides the future set time period into a large temperature difference time period and a stable temperature difference time period in advance according to the outdoor temperature data of the future set time period and the optimal temperature for storing camellia oil; The future set time period includes n cycle time periods, where n is a preset value; A frequency setting module, which is used to install temperature sensors on all storage tanks in a temporary storage environment, and set different frequencies for collecting temperature data in the large temperature difference time period and the stable temperature difference time period in the future set time period; The temperature data collection means collecting the temperature of the temperature sensors installed on all storage tanks once; A temperature judgment module, which is used to analyze the temperature data collected each time according to the different time periods, and determine the temperature abnormal storage tank and the type of temperature control equipment; The types of temperature control equipment include heating equipment and cooling equipment; An optimal temperature control equipment determination module, which is used to obtain the abnormal storage tank, and determine the optimal temperature control equipment in the type of temperature control equipment according to the time difference of all temperature control equipment receiving the signal emitted by the abnormal storage tank; A range determination module, which is used to determine the optimal equipment control storage tank affected by the optimal temperature control equipment; An equipment adjustment module, which is used to analyze the temperature of the optimal equipment control storage tank, and automatically adjust the optimal temperature control equipment according to the analysis result, and at the same time determine the problem storage tank.
2. The automatic control system for adjusting the storage environment of camellia seed oil according to claim 1, wherein In the time period division module, the specific method of dividing the future set time period into a large temperature difference time period and a stable temperature difference time period is as follows: Obtain the optimal temperature for storing camellia oil, denoted as Cz; Record the outdoor temperature of each cycle time period in the future set time period as Si, where 1 ≤ i ≤ n; Compare Si with the preset value G1: If the absolute difference between Cz and Si exceeds the preset value G1, then divide this cycle time period into a large temperature difference time period; If the absolute difference between Cz and Si does not exceed the preset value G1, then divide this cycle time period into a stable temperature difference time period.
3. An automatic control system for adjusting the storage environment of tea seed oil according to claim 2, characterized in that, In the frequency setting module, the specific method of setting different frequencies for collecting temperature data in the large temperature difference time period and the stable temperature difference time period in the future set time period is as follows: If in the large temperature difference time period, set to collect temperature data every T1 time period; If in the stable temperature difference time period, set to collect temperature data every T2 time period; Among them, T1 and T2 are preset values, and T1 < T2.
4. The automatic control system for adjusting the storage environment of tea seed oil according to claim 1, wherein, In the temperature judgment module, the specific method of analyzing the temperature data collected each time according to the different time periods and determining the temperature abnormal storage tank and the type of temperature control equipment is as follows: Obtain the temperatures of all storage tanks, denoted as Wj, 1 ≤ j ≤ m, where m represents the total number of storage tanks; Calculate the absolute difference Qj between Wj and the optimal temperature Cz for storing camellia oil: If in the large temperature difference time period, when the absolute difference Qj exceeds the preset value G1, then mark the corresponding storage tank as an abnormal storage tank; If in the stable temperature difference time period, when the absolute difference Qj exceeds the preset value G2, then mark the corresponding storage tank as an abnormal storage tank; Among them, G2 > G1; After determining the abnormal storage tank, calculate the difference Cj between Wj and the optimal temperature Cz for storing tea seed oil: When Cj is a negative number, the temperature control device type is a heating device; When Cj is a positive number, the temperature control device type is a cooling device.
5. The automatic control system for adjusting the storage environment of tea seed oil according to claim 1, wherein In the optimal temperature control device determination module, the specific method of determining the optimal temperature control device among the temperature control device types is: A signal receiving and transmitting device is installed in the temperature sensor of each storage tank. When a storage tank is marked as an abnormal storage tank, it will actively transmit a unique identification signal and record the time when the signal occurs; At the same time, a signal receiving and transmitting device is installed on each temperature control device of the determined temperature control device type; Determine the time difference between the time each temperature control device receives the unique identification signal and the time the signal is recorded, and mark it as Hv, where v = 1, 2, ..., s, and s represents the number of temperature control devices of this temperature control device type; The smallest time difference among the s time differences is obtained and marked as Hv-min, and the corresponding temperature control device is determined as the optimal temperature control device.
6. The automatic control system for adjusting the storage environment of camellia seed oil according to claim 5, wherein, In the range determination module, the specific method of determining the optimal device control storage tank affected by the optimal temperature control device is: When the optimal temperature control device is started, an impact signal is transmitted to the storage tank through a signal receiving and transmitting device installed on the optimal device, and the time point is recorded as the start time point; Obtain the time point at which the signal receiving and transmitting devices of all storage tanks receive the impact signal, calculate the time difference between the time point at which all storage tanks receive the impact signal and the start time, and compare the results with Hv-min respectively to determine all time differences that are less than Hv-min; According to all time differences less than Hv-min, the corresponding storage tanks are obtained and uniformly marked as the optimal equipment control storage tanks.
7. An automatic control system for adjusting the storage environment of tea seed oil according to claim 1, characterized in that In the equipment adjustment module, the temperature of the storage tank controlled by the optimal equipment is analyzed, and based on the analysis results, the optimal temperature control equipment is automatically adjusted to be closed, and the specific method of determining the problem storage tank is: Acquire the temperature data of the abnormal storage tank in real time. When the temperature data of the abnormal storage tank is at the optimal temperature, obtain the temperature of all the currently optimal equipment-controlled storage tanks and record it as Yk, where 1≤k≤N, and N represents the total number of all optimal equipment-controlled storage tanks. Then calculate the average temperature of all optimal equipment controlled storage tanks, marked as Wp; According to the average value Wp and the temperature Yk of each optimal device control storage tank, the deviation value Z is determined by the standard deviation formula, and the deviation value Z is compared with the preset value Qs: If Z≤Qs, it means that the deviation value Z is within a reasonable range, indicating that all storage tanks controlled by the best equipment are within a reasonable temperature range. At this time, the best temperature control equipment should be adjusted to energy-saving mode or shut down. If Z>Qs, it means the deviation value Z is too large; When the deviation value Z is too large, the temperatures Yk of all the currently optimal equipment control storage tanks are sorted in descending order according to |Yk-Cp|. Each time the first-ranked Yk is obtained, it is deleted. After deletion, the deviation value Z of the remaining Yk is recalculated until Z ≤ Qs; Next, obtain the optimal device control storage tank corresponding to the deleted Yk and mark it as the problem storage tank.
8. An automatic adjustment and control method for the storage environment of tea seed oil, characterized in that, Including: Step 1: Obtain the outdoor temperature data for a future set period through meteorological data. According to the outdoor temperature data for the future set period and the optimal temperature for storing camellia oil, divide the future set period in advance into a period with large temperature differences and a period with stable temperature differences; The future set period includes n cycle periods, where n is a preset value; Step 2: Install temperature sensors on all storage tanks in the temporary storage environment, and set different frequencies for collecting temperature data during the period with large temperature differences and the period with stable temperature differences in the future set period; The temperature data collection means collecting the temperature of the temperature sensors installed on all storage tanks once; Step 3: Analyze the temperature data collected each time according to the different periods, and determine the temperature-abnormal storage tank and the type of temperature control equipment; The type of temperature control equipment includes heating equipment and cooling equipment; Step 4: Obtain the abnormal storage tank, and determine the optimal temperature control equipment in the type of temperature control equipment according to the time difference of receiving the signal emitted by the abnormal storage tank by all temperature control equipment in the determined type of temperature control equipment; Step 5: Determine the optimal device control storage tank affected by the optimal temperature control equipment; Step 6: Analyze the temperature of the optimal device control storage tank, and according to the analysis result, automatically adjust the optimal temperature control equipment and determine the problem storage tank at the same time.