[0006] 1. The information collection means of grain depots are backward, and the degree of data
informatization is not high
[0007] The existing system has unbalanced development of data sampling and
collection methods such as temperature,
humidity, pests, gas, and
moisture. Except for temperature and humidity, most of the other data collections still use manual methods for on-site collection.
At the same time, the management personnel often stay in the paper form or the power
list of the business system when viewing the data, and cannot intuitively understand the current grain depot information, and cannot establish a visualized concept
The problem is that the
database can be modified, leaving loopholes for false data, and lack of effective supervision
[0008] 2. Grain depot management equipment requires manual control, and the
automation of data sensing and collection is not high
[0009] At present, the management methods of many grain depots are still in the era of manpower. Data collection and system control are all manually operated. A large number of equipment requires on-site operations by staff, such as warehouse entry and exit,
truck entry and unloading, and driving path management, ventilation equipment,
Refrigeration equipment, etc., so there is a certain
lag in the adjustment of grain depot data, and it cannot be controlled in time, which often easily leads to grain loss caused by untimely adjustment and management
[0010] 3. The control systems of the grain depot are relatively independent and lack a unified linkage mechanism
[0011] At present, the control systems or equipment involved in grain depot management are relatively independent, and the access of various front-end sensors has not formed a
unified interface standard and protocol, and it is impossible to perform unified access and standardized management of equipment
Most of the equipment or systems have single functions, and there is a lack of coordination among the various systems, making it impossible to complete complex control tasks
[0012] 4. The equipment standards of grain depots are not uniform, and the construction of digital grain depots is slow
[0013] At present, there are a large number of manufacturers involved in the construction of digital grain depots. Only sensor product suppliers face many competitors in the same industry. For the purpose of protecting their own
intellectual property rights and commercial secrets, manufacturers all formulate their own product interface standards and communication protocols. The construction of a digital grain depot is a
complex system integration project, with many manufacturers involved in different parts, and inconsistent technical standards have brought great obstacles to the
system integration process, delaying the process of digital upgrading and transformation of the grain depot
[0015] Storage capacity monitoring has always been a management difficulty for grain depot managers. At present, there is a lack of a particularly effective way to conduct real-time statistics and feedback on the current storage and types of grain depots. Most storage capacity statistics still remain in the statistics of paper documents. There is a serious mismatch between management information and real storage capacity
After technological development, at present, some storage capacity monitoring uses the temperature
distribution model established by the existing temperature sensor to estimate the existing storage capacity status. Although it can reflect the change of grain depot storage capacity to a certain extent, the monitoring accuracy is often not accurate enough, and the storage capacity
calculation error Larger, and still has not established a set of efficient and complete information statistics management mechanism of
grain storage in and out of the granary, there are large loopholes in the management of storage capacity
[0016] 6. Lack of
intelligent management platform, unable to establish a unified supervision platform for grain depot management
[0017] At present, most grain depot management platforms only display limited grain depot data, do not conduct longitudinal
trend analysis on existing data, and do not horizontally combine other grain depot data to analyze the current situation of grain depots. The data is wasted, and the global management and related scheduling of the grain depot cannot be carried out