Grain storage equipment operation state monitoring system

Abstract

The invention discloses a grain storage equipment operation state monitoring system, and relates to the technical field of grain silos, the grain storage equipment operation state monitoring system comprises a data acquisition module, a data processing module and a risk assessment module, the data acquisition module is used for installing an oxygen sensor and a carbon dioxide sensor at a preset height and a preset position in a grain silo, the oxygen content and the carbon dioxide concentration are collected in real time according to a set time interval. According to the method, the environmental value Q of the silo is obtained by calculating the oxygen content deviation degree and the carbon dioxide concentration deviation degree, the comprehensive environmental condition in the silo is reflected more accurately, the risk condition of the silo can be rapidly judged and subjected to targeted treatment by presetting the risk threshold value and comparing the environmental value Q of the silo, loss can be reduced to the maximum extent, and the working efficiency is improved. Through accurate monitoring and timely processing, the grain storage period can be effectively prolonged, the grain quality is guaranteed, a solid guarantee is provided for grain safety, and the method has a wide application prospect in the grain storage industry.

Description

Technical Field

[0001] The present invention relates to the technical field of grain silos, and more specifically, to a monitoring system for the operating status of grain storage equipment. Background Art

[0002] Grain storage is a key link in ensuring food security and stabilizing the supply of the grain market. During the process of grain storage, as a commonly used storage facility, the internal environment of the silo has a decisive impact on the quality of the grain. The concentrations of oxygen and carbon dioxide are important indicators reflecting the grain storage environment inside the silo, and their changes are closely related to the respiratory function of the grain and the activities of microorganisms.

[0003] Traditional methods for monitoring grain storage mainly rely on manual inspections. Warehouse management personnel need to enter the silo regularly and use simple tools or experience to judge the state of the grain. This method has many drawbacks: on the one hand, the frequency of manual inspections is limited, and it is impossible to capture the dynamic changes in the gas concentration inside the silo in a timely manner. During the interval between two inspections, if the environmental parameters fluctuate abnormally, it may not be discovered and processed in time, resulting in an increased risk of grain spoilage; on the other hand, manual judgment is greatly affected by subjective factors, and there are differences in the experience and judgment criteria of different personnel, making it difficult to ensure the accuracy and consistency of the monitoring results. At the same time, with the development of technologies such as the Internet of Things and sensors, some grain storage enterprises have begun to try to introduce automated monitoring equipment. However, most of the existing monitoring systems have a single function and can only achieve simple monitoring of the oxygen or carbon dioxide concentration, and cannot comprehensively evaluate the overall environmental conditions inside the silo.

[0004] For the problems in the related art, no effective solution has been proposed yet. Summary of the Invention

[0005] In view of the problems in the related art, the present invention proposes a monitoring system for the operating status of grain storage equipment to overcome the above-mentioned technical problems existing in the related art.

[0006] The technical solution of the present invention is realized as follows:

[0007] A monitoring system for the operating status of grain storage equipment includes: a data acquisition module, a data processing module, and a risk assessment module, wherein;

[0008] The data acquisition module is used to install an oxygen sensor and a carbon dioxide sensor at a preset height and preset positions inside the grain silo, and collect the oxygen content and carbon dioxide concentration in real time at set time intervals, and transmit them to the data processing module in real time;

[0009] The data processing module is used to obtain the oxygen content and carbon dioxide concentration, calculate the oxygen content deviation V and the carbon dioxide concentration deviation Z respectively according to the oxygen content and the carbon dioxide concentration, and obtain the silo environment value Q according to the oxygen content deviation V and the carbon dioxide concentration deviation Z;

[0010] The risk assessment module is used to preset a risk threshold, compare the silo environment value Q with the risk threshold, obtain the risk status of the current silo, and give an early warning according to the risk status.

[0011] Further, the oxygen sensor and the carbon dioxide sensor transmit the collected data to the data processing module by wired or wireless transmission, and the wireless transmission includes one or more of ZigBee and LoRa.

[0012] Further, the calculation of the oxygen content deviation V is expressed as:

[0013]

[0014] where O s is the actual oxygen content, O z is the middle value of the oxygen content range, O k is the half-width value of the optimal oxygen content range, and the calibrated oxygen content range is 2%-18%,

[0015] Further, the calculation of the carbon dioxide concentration deviation Z is expressed as:

[0016]

[0017] where C s is the actual carbon dioxide concentration, C z is the middle value of the carbon dioxide concentration range, C k is the half-width value of the optimal carbon dioxide concentration range, and the calibrated carbon dioxide concentration range is 0.1%-0.5%,

[0018] Further, the calculation of the silo environment value Q is expressed as:

[0019] Q = w1×V + w2×Z;

[0020] where V is the oxygen content deviation, Z is the carbon dioxide concentration deviation, w1 and w2 are weight coefficients respectively, and w1 > w2.

[0021] Further, the obtaining of the risk status of the current silo includes the following steps:

[0022] If the current silo environmental value Q < 0.5, it indicates that the risk status of the current silo is good;

[0023] If the current silo environmental value 0.5 ≤ Q < 1.0, it indicates that the risk status of the current silo is bad. Then, information is pushed to notify the warehouse management personnel, and the ventilation equipment is started according to the preset rules for ventilation to adjust the gas environment inside the silo;

[0024] If the current silo environmental value Q > 1.0, it indicates that the risk status of the current silo is relatively poor. Then, information is pushed to notify the warehouse management personnel, and all ventilation equipment is turned on for forced ventilation to reduce the concentration of harmful gases, adjust the oxygen content, and conduct a sampling inspection of the grain to determine whether the grain has deteriorated, and formulate the transfer of the grain.

[0025] Furthermore, it also includes an equipment management module and a video monitoring module, where;

[0026] The equipment management module is used to configure and manage the oxygen sensor and carbon dioxide sensor of the grain silo, and when the oxygen sensor and carbon dioxide sensor fail, it sends a fault message to the risk assessment module;

[0027] The video monitoring module is used to install monitoring cameras in the grain silo to conduct real-time video monitoring of the grain storage site, and the video data is stored locally or in the cloud for subsequent viewing.

[0028] Advantages of the present invention:

[0029] 1. In the present invention, oxygen and carbon dioxide sensors are installed at preset heights and positions inside the grain silo, which can comprehensively obtain gas parameters in different areas of the silo, avoid monitoring data deviation caused by local environmental differences, and calculate the deviation degree of oxygen content and carbon dioxide concentration to obtain the silo environmental value Q, which can more accurately reflect the comprehensive environmental conditions inside the silo. Compared with the traditional method of simply monitoring gas concentration, the quantitative evaluation method of this system can provide more reliable data support for subsequent risk assessment. In addition, by presetting the risk threshold and comparing it with the silo environmental value Q, the risk status of the silo can be quickly judged and targeted treatment can be carried out, which can minimize losses to the greatest extent. Through accurate monitoring and timely treatment, the storage period of grain can be effectively extended, the quality of grain can be guaranteed, and a solid guarantee for food security can be provided, having a broad application prospect in the grain storage industry.

[0030] 2. The equipment management module of the present invention can configure and manage the sensors, and send information in a timely manner when a failure occurs to ensure the reliability of the monitoring data. At the same time, the video monitoring module can conduct real-time monitoring of the storage site, and the video data is stored locally or in the cloud for subsequent viewing, providing strong support for tracing the storage process and analyzing abnormal situations. Description of the Drawings

[0031] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required in the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can be obtained based on these drawings.

[0032] Figure 1 It is a principle block diagram of a monitoring system for the operating status of grain storage equipment according to an embodiment of the present invention. Specific embodiments

[0033] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art belong to the scope of protection of the present invention.

[0034] According to an embodiment of the present invention, a monitoring system for the operating status of grain storage equipment is provided.

[0035] As Figure 1 shown, the monitoring system for the operating status of grain storage equipment according to an embodiment of the present invention includes: a data acquisition module 1, a data processing module 2, and a risk assessment module 3, where;

[0036] The data acquisition module 1 is used to install an oxygen sensor and a carbon dioxide sensor at a preset height and preset position inside the grain silo, and collect the oxygen content and carbon dioxide concentration in real time at a set time interval, and transmit them to the data processing module 2 in real time;

[0037] In this technical solution, for large silos, oxygen sensors and carbon dioxide sensors are respectively set at 1 / 4, 1 / 2, and 3 / 4 of the height from the bottom of the silo, as well as near the silo wall and the center position, so as to comprehensively obtain the gas parameters in different areas of the silo and avoid inaccurate monitoring data caused by local environmental differences.

[0038] At the same time, at a set time interval, such as automatically collecting the oxygen content and carbon dioxide concentration data every 15 minutes. The collected data is transmitted to the data processing module 2 in real time through wired or wireless transmission methods.

[0039] In addition, when actually installing the sensors, attention should be paid to the firmness of the sensor installation to avoid the displacement or damage of the sensor position caused by factors such as grain flow and vibration, which affect the accuracy of data collection. At the same time, regularly calibrate and maintain the sensors to ensure their measurement accuracy.

[0040] The data processing module 2 is used to obtain the oxygen content and carbon dioxide concentration, calculate the oxygen content deviation V and the carbon dioxide concentration deviation Z respectively according to the oxygen content and carbon dioxide concentration, and obtain the silo environment value Q according to the oxygen content deviation V and the carbon dioxide concentration deviation Z;

[0041] Among them, calculating the oxygen content deviation V is expressed as:

[0042]

[0043] Among them, O s is the actual oxygen content, O z is the middle value of the oxygen content range, O k is the half-width value of the optimal oxygen content range, and the calibrated oxygen content range is taken as 2%-18%,

[0044] Among them, calculating the carbon dioxide concentration deviation Z is expressed as:

[0045]

[0046] Among them, C s is the actual carbon dioxide concentration, C z is the middle value of the carbon dioxide concentration range, C k is the half-width value of the optimal carbon dioxide concentration range, and the calibrated carbon dioxide concentration range is taken as 0.1%-0.5%,

[0047]

[0048] Among them, calculating the silo environment value Q is expressed as:

[0049] Q = w1×V + w2×Z

[0050] Among them, V is the oxygen content deviation, Z is the carbon dioxide concentration deviation, w1 and w2 are weight coefficients respectively, and w1 > w2, and w1 takes the value of 0.6 and w2 takes the value of 0.4.

[0051] The risk assessment module 3 is used to preset a risk threshold, compare the silo environment value Q with the risk threshold, obtain the risk status of the current silo, and give an alarm according to the risk status;

[0052] If the current silo environment value Q < 0.5, it means that the risk status of the current silo is good;

[0053] In this technical solution, at this time, the grain storage environment in the silo is relatively stable, and the warehouse management personnel can work according to the regular inspection plan.

[0054] If the current silo environmental value satisfies \(0.5\leq Q < 1.0\), it indicates that the risk status of the current silo is poor. Then, information is pushed to notify the warehouse management personnel, and the ventilation equipment is started according to the preset rules for ventilation to adjust the gas environment inside the silo.

[0055] In the application of this technical solution, after receiving the early warning, the warehouse management personnel can increase the inspection frequency of the silo and check whether there are changes in the appearance of the grain, such as color, smell, etc. The start time and ventilation volume of the ventilation equipment can be set according to the actual situation. For example, the ventilation time is 30 minutes, and the ventilation volume is adjusted according to the silo volume and gas concentration deviation.

[0056] If the current silo environmental value \(Q>1.0\), it indicates that the risk status of the current silo is relatively poor. Then, information is pushed to notify the warehouse management personnel and relevant superior leaders, and all ventilation equipment is turned on for forced ventilation to reduce the concentration of harmful gases and adjust the oxygen content.

[0057] In the application of this technical solution, when the silo environmental value \(Q > 1.0\), it is necessary to organize professional personnel to conduct sampling inspection on the grain to determine whether the grain has deteriorated, and formulate a grain transfer or emergency treatment plan to minimize losses to the greatest extent.

[0058] Specifically, according to the test results, a grain transfer or emergency treatment plan is formulated, such as storing the deteriorated grain separately for treatment and taking further protective measures for the non-deteriorated grain, etc., to minimize losses to the greatest extent.

[0059] In addition, the setting of the risk threshold can be optimized and adjusted according to actual grain storage experience and experimental data to ensure the accuracy and timeliness of early warning.

[0060] In addition, it also includes an equipment management module 4 and a video monitoring module 5, where;

[0061] The equipment management module 4 is used for the configuration management of the oxygen sensor and carbon dioxide sensor of the grain silo, and when the oxygen sensor and carbon dioxide sensor fail, a fault message is sent to the risk assessment module 3.

[0062] The video monitoring module 5 is used to install monitoring cameras in the grain silo to conduct real-time video monitoring of the grain storage site, and the video data is stored locally or in the cloud for subsequent viewing.

[0063] In summary, by means of the above technical solution of the present invention, the following effects can be achieved:

[0064] 1. In the present invention, oxygen and carbon dioxide sensors are installed at preset heights and positions inside the grain silo, which can comprehensively obtain gas parameters in different areas of the silo, avoid deviation of monitoring data caused by local environmental differences, and calculate the deviation degree of oxygen content and the deviation degree of carbon dioxide concentration to obtain the silo environmental value Q, which more accurately reflects the comprehensive environmental conditions inside the silo. Compared with the traditional method of simply monitoring gas concentration, the quantitative evaluation method of this system can provide more reliable data support for subsequent risk assessment. In addition, by presetting a risk threshold and comparing it with the silo environmental value Q, the risk status of the silo can be quickly judged and targeted treatment can be carried out, which can minimize losses to the greatest extent. Through precise monitoring and timely treatment, the storage period of grain can be effectively extended, the quality of grain can be guaranteed, and a solid guarantee for food security can be provided. It has broad application prospects in the grain storage industry.

[0065] 2. The equipment management module of the present invention can configure and manage the sensors, and send information in a timely manner when a fault occurs to ensure the reliability of the monitoring data. At the same time, the video monitoring module can monitor the storage site in real time, and the video data is stored locally or in the cloud for subsequent viewing, providing strong support for tracing the storage process and analyzing abnormal situations.

[0066] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Those skilled in the art will easily think of other implementation schemes of the present disclosure after considering the disclosure in the specification and the embodiments. This application aims to cover any variations, uses or adaptive changes of the present disclosure, which follow the general principles of the present disclosure and include common general knowledge or conventional technical means in the technical field not disclosed in the present disclosure. The specification and the embodiments are only regarded as exemplary, and the true scope and spirit of the present disclosure are pointed out by the claims.

[0067] It should be understood that the present disclosure is not limited to the precise structures already described and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present disclosure is only limited by the appended claims.

Claims

1. A grain storage equipment operation status monitoring system, characterized in that: include: A data acquisition module (1), a data processing module (2) and a risk assessment module (3), wherein; The data acquisition module (1) is used to install an oxygen sensor and a carbon dioxide sensor at a preset height and a preset position inside the grain silo, and collect oxygen content and carbon dioxide concentration in real time at a set time interval, and transmit them to the data processing module (2) in real time; The data processing module (2) is used to obtain the oxygen content and the carbon dioxide concentration, calculate the oxygen content deviation V and the carbon dioxide concentration deviation Z according to the oxygen content and the carbon dioxide concentration respectively, and obtain the silo environment value Q according to the oxygen content deviation V and the carbon dioxide concentration deviation Z; The risk assessment module (3) is used to preset a risk threshold, compare the silo environment value Q with the risk threshold, obtain the current risk status of the silo, and issue an early warning based on the risk status.

2. The grain storage equipment operation status monitoring system according to claim 1 is characterized in that: The oxygen sensor and the carbon dioxide sensor transmit the collected data to the data processing module (2) by wired or wireless transmission, and the wireless transmission method includes one or more of ZigBee and LoRa.

3. The grain storage equipment operation status monitoring system according to claim 1 is characterized in that: The calculated oxygen content deviation V is expressed as: Among them, O s is the actual oxygen content, O z is the middle value of the oxygen content range, O k is the half width of the optimal oxygen content range, and the calibrated oxygen content range is 2%-18%, 4. The grain storage equipment operation status monitoring system according to claim 3 is characterized in that: The calculated carbon dioxide concentration deviation Z is expressed as: Among them, C s is the actual carbon dioxide concentration, C z is the middle value of the carbon dioxide concentration range, C k is the half width value of the optimal carbon dioxide concentration range, and the calibration carbon dioxide concentration range is 0.1%-0.5%, 5. The grain storage equipment operation status monitoring system according to claim 4 is characterized in that: The calculated silo environment value Q is expressed as: Q = w1 × V + w2 × Z; Among them, V is the deviation of oxygen content, Z is the deviation of carbon dioxide concentration, w1 and w2 are weight coefficients respectively, and w1>w2.

6. The grain storage equipment operation status monitoring system according to claim 1 is characterized in that: The step of obtaining the risk status of the current silo includes the following steps: If the current silo environment value Q is less than 0.5, it means that the risk status of the current silo is good; If the current silo environment value is 0.5≤Q<1.0, it means that the current risk status of the silo is poor, and the information is pushed to notify the warehouse manager, and the ventilation equipment is started according to the preset rules to ventilate and adjust the gas environment in the silo; If the current silo environmental value Q>1.0, it means that the current risk status of the silo is poor. In this case, a message will be pushed to notify the warehouse manager, and all ventilation equipment will be turned on for strong ventilation to reduce the concentration of harmful gases, adjust the oxygen content, and sample and test the grain to determine whether the grain has deteriorated and plan for grain transfer.

7. The grain storage equipment operation status monitoring system according to claim 1 is characterized in that: It also includes a device management module (4) and a video monitoring module (5), wherein; The equipment management module (4) is used to configure and manage the oxygen sensor and the carbon dioxide sensor of the grain silo, and when the oxygen sensor and the carbon dioxide sensor fail, send failure information to the risk assessment module (3); The video monitoring module (5) is used to install a monitoring camera on the grain silo to perform real-time video monitoring of the grain storage site.

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