Smart beehive, management platform, electronic equipment and management system

Abstract

Disclosed are a smart beehive, a management platform, an electronic device, and a management system. In one embodiment, the smart beehive adds the collected data to a blockchain, and the data is data that can be used to determine the maturity and / or adulteration of the honey in the smart beehive. The management platform obtains the data, determines the maturity and / or adulteration of the honey in the smart beehive based on the data, and adds the maturity and / or adulteration to the blockchain. The electronic device obtains the user's evaluation information on the maturity and / or adulteration, and adds the evaluation information to the blockchain. The judgment of the maturity of the honey in the beehive provides support for the harvesting of the honey after it matures. The judgment of the adulteration of the honey in the beehive can provide support for the prevention of adulteration in the honey production and harvesting process. By putting the data of each link on the chain, multi-role supervision and multi-angle verification can be achieved in the honey production process, so as to provide support for the traceability of problematic honey.

Description

Technical Field

[0001] The present disclosure relates to the field of intelligent beekeeping, and in particular to an intelligent beehive, a management platform, an electronic device and a management system. Background Art

[0002] With the improvement of living standards, the demand for honey continues to rise, which has greatly stimulated the development of the beekeeping industry. The beekeeping industry has the characteristics of small-scale breeding and high labor intensity. There is no effective means in the industry to conduct intelligent supervision and guidance of the honey production process, which makes beekeeping inefficient and lacks certification of honey quality. This has restricted the development of the beekeeping industry to a certain extent.

[0003] For example, mature honey refers to "real honey" that has been collected and fermented by bees, and then placed in a honeycomb for sealing and storage after the bees' wings flap to remove excess water. Mature honey has rich nutrients and real health value. The domestic market has good feedback on mature honey, and high-end honey imported from abroad with certain health value is all mature honey.

[0004] Processed honey refers to the honey formed by the rapid high-temperature concentration of primary water honey collected by bees. The nutritional content and health value of processed honey are much lower than those of mature honey, but the production speed of processed honey is fast, the output is high and the cost is low.

[0005] Adulterated honey refers to fake honey obtained by falsifying the production process (such as feeding syrup), falsifying the honey producing area, and adulterating mature honey.

[0006] Processed honey and adulterated honey have had a huge impact on the mature honey market. Currently, most of the honey that domestic consumers are exposed to is processed honey or adulterated honey. Currently, the industry can only distinguish whether honey is mature honey or adulterated honey through post-production testing. This testing method is a post-test and cannot fundamentally solve the production problems of mature honey and the adulteration of honey.

[0007] If we can determine whether honey is mature honey or whether the honey is adulterated at the production end, we can ensure the quality of honey from the source.

[0008] Therefore, a solution is needed that can intelligently supervise and / or guide the honey production process. Summary of the invention

[0009] One object of the present disclosure is to provide a solution that can intelligently supervise and / or guide the honey production process.

[0010] According to a first aspect of the present disclosure, a management system for a smart beehive is proposed, comprising: a smart beehive, a management platform and an electronic device, wherein the smart beehive uploads collected data to a data management system, wherein the data is data that can be used to determine the maturity and / or adulteration of honey in the smart beehive, the management platform obtains the data, determines the maturity and / or adulteration of honey in the smart beehive based on the data, and uploads the maturity and / or adulteration to the data management system, and the electronic device obtains user evaluation information on maturity and / or adulteration, and uploads the evaluation information to the data management system.

[0011] Optionally, the data management system is used to add the received data to a blockchain based on blockchain technology.

[0012] Optionally, the management platform obtains data from the smart beehive, or the management platform obtains data from the data management system, and the electronic device obtains maturity and / or adulteration from the management platform, or the electronic device obtains maturity and / or adulteration from the data management system.

[0013] Optionally, the data includes at least one of the following: first data for characterizing rainfall conditions in the smart beehive; second data for characterizing lighting conditions near the smart beehive; third data for characterizing the number of bees entering and leaving the smart beehive; fourth data for characterizing weight information of the smart beehive; and fifth data for characterizing location information of the smart beehive.

[0014] Optionally, the management platform determines the duration of rainfall in the smart beehive based on the first data, and / or the management platform adjusts the duration of rainfall based on the second data, and / or the management platform determines the change in the number of bees entering and exiting the smart beehive based on the third data, and / or the management platform determines the change in weight of the smart beehive based on the fourth data, and / or the management platform determines the production area where the smart beehive is located based on the fifth data. The management platform judges the maturity of the honey in the smart beehive based on one or more of the duration of rainfall, the change in quantity and the change in weight, and / or the management platform judges the adulteration of the honey in the smart beehive based on one or more of the change in quantity, the change in weight and the production area.

[0015] Optionally, the management platform also generates evaluation information for the beekeeper corresponding to the smart beehive based on maturity and / or adulteration and evaluation information.

[0016] Optionally, the management platform also sends evaluation information for the beekeepers together with maturity and / or adulteration to the electronic device.

[0017] Optionally, the management platform is also used to estimate the honey production of smart beehives, and / or the management platform also determines the market supply and demand situation based on the estimated results of the honey production of multiple smart beehives, and provides information reflecting the market supply and demand situation to beekeepers.

[0018] According to the second aspect of the present disclosure, a management system for a smart beehive is also proposed, including: a smart beehive and a management platform, the smart beehive sends collected data to the management platform, the data is data that can be used to determine the maturity and / or adulteration of the honey in the smart beehive, and the management platform determines the maturity and / or adulteration of the honey in the smart beehive based on the data.

[0019] According to the third aspect of the present disclosure, a management system for smart beehives is also proposed, including: smart beehives and a management platform. The smart beehives send collected data to the management platform. The management platform estimates the honey production of the smart beehives based on the data, and judges the market supply and demand situation based on the estimated results of the honey production of multiple smart beehives, and provides information reflecting the market supply and demand situation to beekeepers.

[0020] According to the fourth aspect of the present disclosure, a management platform for a smart beehive is also proposed, comprising: an acquisition device for acquiring data collected by the smart beehive that can be used to determine the maturity and / or adulteration of honey in the smart beehive; and a judgment device for judging the maturity and / or adulteration based on the data.

[0021] Optionally, the management platform further comprises: an uploading device for uploading the maturity and / or adulteration status to the data management system.

[0022] Optionally, the data management system is used to add the received data to a blockchain based on blockchain technology.

[0023] Optionally, the data includes at least one of the following: first data for characterizing rainfall conditions in the smart beehive; second data for characterizing lighting conditions near the smart beehive; third data for characterizing the number of bees entering and leaving the smart beehive; fourth data for characterizing weight information of the smart beehive; and fifth data for characterizing location information of the smart beehive.

[0024] Optionally, the judgment device determines the duration of rainfall in the smart beehive based on the first data, and / or the judgment device adjusts the duration of rainfall based on the second data, and / or the judgment device determines the change in the number of bees entering and exiting the smart beehive based on the third data, and / or the judgment device determines the change in weight of the smart beehive based on the fourth data, and / or the management platform determines the production area where the smart beehive is located based on the fifth data, the judgment device judges the maturity of the honey in the smart beehive based on one or more of the duration of rainfall, the change in quantity and the change in weight, and / or the judgment device judges the adulteration of the honey in the smart beehive based on one or more of the change in quantity, the change in weight and the production area.

[0025] Optionally, the management platform further comprises: a sending device for sending prompt information characterizing maturity and / or early warning information characterizing adulteration to the user.

[0026] Optionally, the management platform also includes: a yield estimation device for estimating the honey yield of the smart beehive; a supply and demand judgment device for judging the market supply and demand situation based on the estimated results of the honey yield of multiple smart beehives; and a providing device for providing information reflecting the market supply and demand situation to beekeepers.

[0027] According to the fifth aspect of the present disclosure, a management platform for smart beehives is also proposed, including: an acquisition device for acquiring data collected by smart beehives; a yield estimation device for estimating the honey yield of the smart beehives based on the data; a supply and demand judgment device for judging the market supply and demand situation based on the estimated results of the honey yields of multiple smart beehives; and a providing device for providing information reflecting the market supply and demand situation to beekeepers.

[0028] According to the sixth aspect of the present disclosure, a smart beehive is also proposed, comprising: a data collection device for collecting data that can be used to determine the maturity and / or adulteration of honey in the smart beehive; and a sending device for sending the data to a management platform.

[0029] Optionally, the sending device is also used to upload the data to a data management system.

[0030] Optionally, the data management system is used to add the received data to the blockchain based on blockchain technology.

[0031] Optionally, the data acquisition device includes at least one of the following: a rainfall monitoring device for monitoring rainfall conditions in the smart beehive; a light monitoring device for monitoring light conditions near the smart beehive; a counting sensor for detecting the number of bees entering and leaving the smart beehive; a weighing sensor for detecting the weight information of the smart beehive; and a positioning sensor for determining the location information of the smart beehive.

[0032] According to the seventh aspect of the present disclosure, an electronic device is also proposed, comprising: an acquisition device for acquiring prompt information for characterizing the maturity of honey in a smart beehive and / or warning information for characterizing the adulteration of honey from a management platform; and an uploading device for uploading the user's evaluation information on maturity and / or adulteration to a data management system.

[0033] Optionally, the acquisition device is also used to obtain evaluation information of beekeepers corresponding to the smart beehives from the management platform.

[0034] According to the eighth aspect of the present disclosure, an auxiliary method for harvesting honey is also proposed, comprising: obtaining data collected by a smart beehive that can be used to determine the maturity and / or adulteration of the honey in the smart beehive; and judging the maturity and / or adulteration based on the data.

[0035] According to the ninth aspect of the present disclosure, an auxiliary method for harvesting honey is also proposed, comprising: collecting data that can be used to determine the maturity and / or adulteration of honey in the smart beehive; and sending the data to a management platform.

[0036] According to the tenth aspect of the present disclosure, an auxiliary method for harvesting honey is also proposed, including: obtaining prompt information for characterizing the maturity of the smart beehive and / or warning information for characterizing the adulteration of honey from a management platform; and uploading the user's evaluation information on maturity and / or adulteration to the data management system.

[0037] According to the eleventh aspect of the present disclosure, an auxiliary method for harvesting honey is also proposed, including: acquiring data collected by a smart beehive; estimating the honey production of the smart beehive based on the data; and judging the market supply and demand situation based on the estimated results of the honey production of multiple smart beehives, and providing information reflecting the market supply and demand situation to beekeepers.

[0038] According to the twelfth aspect of the present disclosure, a computing device is also proposed, including: a processor; and a memory on which executable code is stored, and when the executable code is executed by the processor, the processor executes the method described in any one of the eighth to eleventh aspects of the present disclosure.

[0039] According to the thirteenth aspect of the present disclosure, a non-temporary machine-readable storage medium is also proposed, on which executable code is stored. When the executable code is executed by a processor of an electronic device, the processor executes the method described in any one of the eighth to eleventh aspects of the present disclosure.

[0040] According to the data collected by the smart beehive, the present disclosure can monitor the maturity and / or adulteration of honey in the beehive, and / or estimate the honey production, and further judge the market supply and demand based on the estimation results, and feedback to the beekeepers. In this way, intelligent supervision and / or guidance of the honey production process can be achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The above and other objects, features and advantages of the present disclosure will become more apparent through a more detailed description of exemplary embodiments of the present disclosure in conjunction with the accompanying drawings, wherein like reference numerals generally represent like components in the exemplary embodiments of the present disclosure.

[0042] Figure 1 A schematic block diagram showing the structure of a management system of a smart beehive according to an embodiment of the present disclosure.

[0043] Figure 2 A schematic block diagram showing the structure of a smart beehive according to an embodiment of the present disclosure is shown.

[0044] Figure 3 A schematic block diagram showing the structure of a management platform according to an embodiment of the present disclosure is shown.

[0045] Figure 4 A schematic block diagram showing the structure of a management platform according to an embodiment of the present disclosure is shown.

[0046] Figure 5 A schematic block diagram showing the structure of an electronic device according to an embodiment of the present disclosure is shown.

[0047] Figure 6 A business process diagram for ensuring honey is harvested after maturity according to an embodiment of the present disclosure is shown.

[0048] Figure 7 A business process diagram for preventing counterfeiting according to an embodiment of the present disclosure is shown.

[0049] Figure 8 A schematic diagram of the structure of a computing device according to an embodiment of the present disclosure is shown. DETAILED DESCRIPTION

[0050] The preferred embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the preferred embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided to make the present disclosure more thorough and complete, and to fully convey the scope of the present disclosure to those skilled in the art.

[0051] The present disclosure proposes that a data collection device can be arranged in a beehive, and the data collected by the data collection device can be used to realize intelligent supervision and / or guidance of the honey production process.

[0052] For example, a data acquisition device can be used to collect data that can be used to determine the maturity and / or adulteration of honey in a beehive. Based on the data collected by the data acquisition device, the maturity and / or adulteration of honey in the beehive can be determined. This provides support for determining whether honey is mature or adulterated at the production end, and provides a basis for ensuring that honey is harvested after maturity and preventing adulteration of harvested honey. The structure of the data acquisition device, the maturity of honey, and the principle of determining whether honey is adulterated will be explained below and will not be repeated here.

[0053] For another example, the honey production can be estimated based on the data collected by the data collection device and / or by judging the honey maturity / adulteration information, and the supply and demand relationship, shortfall production and other information can be further determined based on the estimated results. The determined information can be fed back to the beekeepers so that the beekeepers can keep abreast of the market supply and demand situation.

[0054] The present disclosure also proposes that the data generated at each link in the process from the generation of honey in the beehive to the harvesting of honey by the harvesters (such as data collected by the data collection device, determined maturity data and / or adulteration conditions, evaluation data on maturity and / or adulteration conditions, etc.) can be uploaded to a data management system (for example, it can be uploaded to a blockchain), so that multi-role supervision and multi-angle verification can be achieved in the honey production process, thereby providing support for the traceability of problematic honey.

[0055] The following is a further description of various aspects of the present disclosure.

[0056] Figure 1 A schematic block diagram showing the structure of a management system for a smart beehive according to an embodiment of the present disclosure.

[0057] See also Figure 1 The management system 1000 of the smart beehive includes a management platform 200 , one or more smart beehives 100 , and one or more electronic devices 300 .

[0058] The management platform 200 can access multiple smart beehives 100 and multiple electronic devices 300. Among them, the smart beehive 100 corresponds to the beekeeper, and the user corresponding to the electronic device 300 can be but not limited to the business owner, the manager of the beekeeping cooperative, the purchaser of the honey purchasing company, the beekeeper, etc.

[0059] For example, if the user corresponding to the electronic device 300 is an enterprise owner or a cooperative bee farm manager or a beekeeper, the enterprise owner or the cooperative bee farm manager can establish a "bee farm" on the management platform 200. The beekeeper can join the "bee farm" and establish a management group with the enterprise owner or the cooperative bee farm manager. The beekeeper can add the smart beehive 100 to the "bee farm" on the management platform 200 to achieve the binding of the smart beehive 100 and the "bee farm".

[0060] The management platform 200 can use the background algorithm to determine the maturity and / or adulteration of the honey in the smart beehive 100 based on the data collected by the smart beehive 100, and push the maturity data and / or adulteration data to the electronic device 300 used by the apiary manager or business owner, so that the apiary manager or business owner can purchase mature honey in time and / or identify whether the honey is adulterated.

[0061] The management platform 200 can also use the background algorithm to estimate the honey production in the smart beehive 100 based on the data collected by the smart beehive 100, and can further judge the market supply and demand situation based on the estimated results of the honey production in all beehives under the platform, and can push information reflecting the market supply and demand situation to beekeepers so that beekeepers can grasp the market supply and demand relationship in a timely manner and guide the beekeepers' production behavior.

[0062] The business owner or cooperative bee farm manager can also view other relevant information of the smart beehive 100 through the electronic device 300. For example, the management platform 200 can also push the beekeeper's operation information and related warning information to the bee farm manager or business owner in a timely manner.

[0063] The structures and achievable functions of the smart beehive 100, the management platform 200 and the electronic device 300 are further described below.

[0064] Smart beehive

[0065] Figure 2 A schematic block diagram showing the structure of a smart beehive according to an embodiment of the present disclosure is shown.

[0066] See also Figure 2 The smart beehive 100 includes a data collection device 110 and a sending device 120 .

[0067] The data collection device 110 is used to collect data, for example, it can collect data that can be used to determine the maturity and / or adulteration of honey in the smart beehive 100, and it can also collect data that can be used to determine the yield of honey in the smart beehive.

[0068] The sending device 120 is used to send the data to the management platform for processing. The sending device 120 can also be used to upload the data collected by the data collection device 110 to the data management system, which saves the data to provide support for traceability, such as providing support for the traceability of problematic honey.

[0069] In order to ensure the credibility of traceability, the data management system can be a blockchain system implemented based on blockchain technology, and the data management system can add the received data to the blockchain based on blockchain technology. The specific implementation process of adding data to the blockchain can refer to the existing blockchain technology and will not be repeated here.

[0070] In the present disclosure, the data collection device 110 may include, but is not limited to, one or more of a rainfall monitoring device, a light monitoring device, a counting sensor, a weighing sensor, and a positioning sensor.

[0071] The rainfall monitoring device is used to monitor the rainfall in the smart beehive, that is, to monitor whether rainfall occurs in the smart beehive. The rainfall monitoring device can be, but is not limited to, a rainfall sensor. The rainfall monitoring device can be arranged inside the smart beehive 100 to monitor the rainfall inside the beehive, or the rainfall monitoring device can be arranged outside the smart beehive 100 (such as at the bottom of the beehive) to monitor the rainfall flowing out of the smart beehive 100.

[0072] The light monitoring device is used to monitor the light conditions near the smart beehive 100. The light monitoring device can be, but is not limited to, a light intensity sensor. The light monitoring device can be arranged outside the smart beehive 100 to monitor the ambient light near the smart beehive 100.

[0073] The counting sensor is used to detect the number of bees entering and leaving the smart beehive 100. The counting sensor can be, but is not limited to, an infrared counting sensor. The counting sensor can be installed at the door of the smart beehive 100 to count the number of bees entering and leaving the bee colony.

[0074] The weighing sensor is used to detect the weight information of the smart beehive 100. The weight information mentioned here may refer to the total weight of the beehive, or may refer to the weight change information of the beehive. In other words, the weighing sensor can be used to detect the total weight of the smart beehive 100, or to detect the weight change of the smart beehive 100. For example, the weighing sensor can be a sensor for recording the weight change of the smart beehive 100. For example, a weighing system that can accurately record weight changes of 100g and above can be used to achieve accurate monitoring of the weight change of the beehive. After completing the initialization setting of the beehive, the cumulative weight gain of the beehive from the initial setting time to the harvesting time can be calculated.

[0075] The positioning sensor is used to determine the location information of the smart beehive 100. The positioning sensor can be, but is not limited to, a Beidou navigation positioning sensor and a GPS positioning sensor. For example, the positioning sensor can use Beidou navigation positioning + GPS positioning to quickly realize accurate reminders of changes in the position of the beehive of 10 meters or more, and can accurately obtain the location information of the beehive.

[0076] For the sake of ease of distinction, the data detected by the rainfall monitoring device for characterizing the rainfall conditions in the smart beehive can be called "first data", the data detected by the light monitoring device for characterizing the light conditions near the smart beehive can be called "second data", the data detected by the counting sensor for characterizing the number of bees entering and leaving the smart beehive can be called "third data", the data detected by the weighing sensor for characterizing the weight information of the smart beehive can be called "fourth data", and the data detected by the positioning sensor for characterizing the location information of the smart beehive can be called "fifth data".

[0077] Management Platform

[0078] Figure 3 A schematic block diagram showing the structure of a management platform according to an embodiment of the present disclosure is shown. Figure 3 The management platform 200 includes an acquisition device 210 and a judgment device 220 , and may also include an upload device 230 and / or a sending device 240 .

[0079] The acquisition device 210 is used to acquire data collected by the smart beehive 100 that can be used to determine the maturity and / or adulteration of honey in the smart beehive 100. The acquisition device 210 can acquire the data from the smart beehive 100. As mentioned above, the smart beehive 100 can upload the collected data to the data management system, so the acquisition device 210 can also acquire the data from the data management system. For the specific content and collection method of the data, please refer to the above combined Figure 2 The description is not repeated here.

[0080] The determination device 220 can determine the maturity and / or adulteration of the honey in the smart beehive 100 based on the data collected by the smart beehive 100 .

[0081] The following are examples of the principles for judging the maturity of honey and the principles for judging adulteration.

[0082]

Judgment of honey maturity

[0083] 1. Rainfall duration monitoring

[0084] In the process of producing mature honey, bees will fan the air by vibrating their wings to remove excess water from the honey, and seal the hive mouth after determining that it can be stored for a long time. Generally speaking, it takes a certain amount of time (for example, 10 to 15 days) to produce mature honey.

[0085] Therefore, the duration of rainfall in the smart beehive can be determined based on the first data monitored by the rainfall monitoring device, and the determined rainfall duration can be used to characterize the duration of bees vibrating and fanning to remove excess water. Whether the honey in the beehive is mature can be determined by judging whether the rainfall duration is within a reasonable duration range.

[0086] As an example, the duration of rainfall in each hour can be determined in units of hours. If the duration of rainfall in the hour is greater than half an hour, the hour can be recorded as an effective hour, thereby determining the number of effective hours of the smart beehive. According to experience, if more than 90% of mature capped honey is formed, the total effective hours must be ensured to be between 288 and 360 hours. The total effective hours can be compared with the required number of hours to determine the maturity of the honey in the smart beehive. The requirements for the total effective hours may vary from region to region.

[0087] In rainy weather, even if the bees in the beehive do not vibrate to fan, the rainfall monitoring device may still detect rainfall. In order to eliminate invalid collection caused by rainy weather, the present disclosure proposes that the first data can be filtered based on the light conditions monitored by the light monitoring device to eliminate the data collected in rainy weather from the first data.

[0088] That is, when the ambient light data (i.e., the second data) monitored by the light monitoring device indicates that the light is low, it can be considered as rainy weather, and the rainfall data (i.e., the first data) collected by the rainfall monitoring device during this period can be eliminated. Therefore, when determining the rainfall duration based on the first data, the rainfall duration can also be adjusted based on the second data.

[0089] 2. Bee in and out counting monitoring

[0090] Based on the third data, the number of bees entering and leaving the smart beehive can be determined. The bee entry and exit data is relatively stable, without a rapid decline or rapid doubling in a short period of time, and the bee colony can be judged to be a strong honey-collecting bee colony. When the bee colony is in a relatively strong state, the collected honey can be ensured not to be consumed by the bee colony itself. In other words, when the bee colony is in a relatively strong state, it can be considered that it is currently in a normal honey-collecting period.

[0091] Therefore, the maturity of the honey in the smart beehive can be judged according to the changes in the number of bees entering and leaving the smart beehive. Generally speaking, the decrease in the number of bee colony in and out data has a certain negative correlation with the maturity of the honey.

[0092] 3. Beehive weight monitoring

[0093] Based on the fourth data, the weight change of the smart beehive can be determined. After the honey is digested and fermented by the bees and dried by flapping wings, the weight change of the beehive gradually tends to be stable, and there is no space in the beehive for the bees to continue collecting honey for a certain period of time. Therefore, the maturity of the honey in the beehive can be judged according to the weight change of the beehive. For example, when the weight change of the beehive is less than a predetermined threshold, it can be considered that the maturity of the honey in the beehive is high.

[0094] The present disclosure can judge the maturity of honey in a beehive based on one or more of the monitoring of rainfall duration, the monitoring of bee in and out counts, and the monitoring of beehive weight. That is, when judging the maturity of honey in a beehive, reference can be made to one or more of the rainfall duration, the change in the number of bees entering and leaving the beehive, and the change in the weight of the beehive. For example, if the rainfall duration is within a reasonable range, the change in the weight of the beehive in the morning and at night is less than a predetermined threshold, and the overall trend is continuous growth, and the bee colony in and out data begins to decrease, then it can be determined that the honey in the beehive is mature.

[0095] It should be noted that other factors (such as time factors) can also be referred to when judging the maturity of honey. For example, the production time of mature honey is generally from June to September each year, which is mainly determined by the peak nectar flow period of local nectar plants. Therefore, the nectar source area where the beehive is located can be determined based on the location information of the beehive (i.e., the fifth data mentioned above), and the production time of mature honey can be determined based on the nectar plants in the nectar source area, so that the determined production time can also be referred to when judging the maturity.

[0096]

Judgment of honey adulteration

[0097] 1. Judgment of production adulteration

[0098] The weight change of the smart beehive can be determined based on the fourth data detected by the weighing sensor. According to the weight change, it can be judged whether the output of honey in the smart beehive is adulterated.

[0099] As an example, the weighing function of the weighing sensor can be used to determine the total weight of the honey in the beehive from the initialization of the beehive to the harvest (that is, the estimated yield). That is, the weight gain of the smart beehive from the initialization to the harvest can be determined based on the fourth data, and the weight gain is the estimated yield.

[0100] When collecting honey on site, managers or purchasing staff can compare the estimated yield with the beehive yield provided by the beekeeper. If the difference between the honey yield provided by the beekeeper and the estimated yield is greater than a predetermined threshold, it can be determined that adulteration exists during the honey harvesting and collection process. For example, if the honey yield of the beehive provided by the beekeeper is greater than the estimated yield, it can be determined that the honey provided by the beekeeper is adulterated, and the manager or purchasing staff can refuse to purchase the honey.

[0101] 2. Judgment of adulteration of feed syrup

[0102] The weight change of the smart beehive can be monitored based on the fourth data detected by the weighing sensor. According to the weight change, adulteration behaviors such as feeding syrup in the production process can be judged.

[0103] As an example, the weighing function of the weighing sensor can be used to accurately monitor the production behaviors of beekeepers opening beehives, adding sugar feeders to beehives, and hanging duckbill sugar feeders at beehive doors. For example, most feeding equipment such as sugar feeders and sugar feeders are standardized products, so the weight of the sugar feeders / sugar feeders can be counted, and by monitoring whether the instantaneous weight change of the smart beehive is equivalent to the weight of the sugar feeders / sugar feeders counted, it can be determined whether there is adulteration such as feeding syrup in the production process.

[0104] 3. Judgment of adulteration of feed antibiotics

[0105] Based on the third data detected by the counting sensor, the change in the number of bees entering and leaving the smart beehive can be determined.

[0106] During the production process, weak bee colonies and bee colonies that have swarmed (the queen bees left behind are young queen bees) are often fed antibiotic veterinary drugs to improve resistance and yield. Therefore, when it is detected that the number of bee colonies entering and leaving has been at a low level, or the number of fruit entering and leaving has doubled in spring, it can be determined that there may be adulteration such as feeding antibiotics. When it is determined that there may be adulteration such as feeding antibiotics, the intelligent management platform can issue an early warning to remind managers and / or purchasing personnel to pay attention to the status of the bee colony. When purchasing honey, managers and / or purchasing personnel can use test strips for monitoring or other means to detect before deciding whether to purchase the honey.

[0107] 4. Judgment of adulteration in production areas

[0108] According to the location information of the smart beehive detected by the positioning sensor (i.e., the fifth data mentioned above), the production area where the smart beehive is located can be determined. The production area is also the production area of ​​honey, and multiple production areas can be divided based on the quality of the nectar source. When the smart beehive is initialized, its production area can be determined based on its geographical location. During the production process, the production area where the beehive is located can be monitored based on the fifth data. If it is found that the production area of ​​the beehive has changed (for example, from a high-quality production area to a low-quality production area), it can be determined that the production area is adulterated. As an example, once the beehive moves out of the production area, an automatic alarm can be issued, thereby preventing beekeepers from adulterating nectar sources from other production areas.

[0109] In summary, based on the weight changes of the smart beehive, it is possible to judge whether the honey production is adulterated and whether there is any adulteration in the feeding syrup during the production process; based on the changes in the number of bees in the smart beehive, it is possible to judge whether there is any adulteration in the feeding antibiotics during the production process; and based on the production area where the smart beehive is located, it is possible to judge whether there is any adulteration in the production area.

[0110] In the present disclosure, the adulteration of honey in the smart beehive can be determined based on one or more of the quantity change, weight change and production area.

[0111] The present disclosure can also judge other adulteration behaviors. For example, frequent opening of the lid by beekeepers can easily interfere with the quiet living habits of the bee colony, and there is also a high probability of illegal operation. Therefore, the opening of the lid can be monitored to prevent adulteration caused by illegal operation. Among them, the opening of the lid can be monitored in a variety of ways. For example, a motion sensor can be set on the cover of the smart beehive to detect the opening of the lid.

[0112] After the judgment device 220 obtains the maturity and / or adulteration of the honey in the smart beehive based on the above method, the maturity and / or adulteration can be added to the blockchain by the uploading device 230. The specific implementation process of adding the maturity and / or adulteration to the blockchain can refer to the existing blockchain technology and will not be repeated here.

[0113] The sending device 240 can send prompt information and / or early warning information to the user. The user mentioned here may refer to but is not limited to the business owner, the cooperative bee farm manager or the purchaser. The management platform 200 can send prompt information and / or early warning information to the electronic device used by the user to notify the user. The prompt information can be information used to characterize the maturity of the honey in the beehive. For example, the management platform 200 can send the intelligent beehive with a maturity greater than a predetermined threshold and its maturity information to the user so that the user can go to the beekeeper to purchase the honey in time. The early warning information can be information used to characterize the adulteration situation, and can also be other information that requires the user's attention, such as but not limited to the beekeeper's operation information. For example, when the beekeeper moves the location of the beehive to change the honey source of the beehive, the information about the change in the honey source can be used as early warning information to notify the user.

[0114] Honey production estimate

[0115] The management platform can also be used to estimate the honey production of smart beehives, and based on the estimated results of honey production of multiple smart beehives, it can also judge the market supply and demand situation and provide information reflecting the market supply and demand situation to beekeepers.

[0116] Figure 4 FIG. 2 is a schematic block diagram showing the structure of a management platform according to another embodiment of the present disclosure. Figure 4 In this embodiment, the management platform 200 may include an acquisition device 210 , a production estimation device 250 , a supply and demand judgment device 260 , and a providing device 270 .

[0117] The acquisition device 210 is used to acquire data collected by the smart beehive 100. The data mentioned here may be data that can be used to determine the honey production of the smart beehive 100, for example, data collected by the data acquisition device 110 in the smart beehive 100 mentioned above that can be used to determine the maturity and / or adulteration of honey, that is, it may include but is not limited to one or more of the first data, second data, third data, fourth data, and fifth data mentioned above.

[0118] The yield estimation device 250 is used to estimate the honey yield of the smart beehive based on the data.

[0119] As described above, based on the data collected by the smart beehive, the maturity and / or adulteration of the honey in the smart beehive can be determined. Therefore, the yield estimation device 250 can estimate the honey yield of the smart beehive based on the original data and the maturity and / or adulteration of the honey in the smart beehive obtained by determination. For example, the yield estimation device 250 can estimate the honey yield in the smart beehive based on the weight change information of the smart beehive and the maturity and / or adulteration of the honey in the smart beehive.

[0120] For example, through the above-mentioned honey maturity judgment and honey adulteration judgment, the maturity and adulteration of the honey in the smart beehive can be obtained. For smart beehives with a high possibility of adulteration or determined to be adulterated, the yield estimation device 250 can directly mark the honey yield of the smart beehive as 0. For unadulterated smart beehives, the honey yield at the current maturity can be determined based on the weight change information of the smart beehive and the maturity of the honey in the beehive, and the yield can also be estimated to obtain the future mature honey yield (i.e., mature honey yield).

[0121] The supply and demand determination device 260 can determine the market supply and demand situation based on the estimated results of the honey production of multiple smart beehives.

[0122] As an example, the supply and demand judgment device 260 can make a judgment based on the current and future honey production of different maturity levels and the expected consumer demand or the consumer demand collected through the platform to obtain information such as the supply and demand relationship and the production gap.

[0123] The providing device 270 is used to provide the beekeepers with information reflecting the market supply and demand situation.

[0124] Electronic devices

[0125] Figure 5 A schematic block diagram showing the structure of an electronic device according to an embodiment of the present disclosure is shown. Figure 5 The electronic device 300 includes an acquisition device 310 and an upload device 320. The electronic device 300 may refer to, but is not limited to, a device used by a business owner, a cooperative bee farm manager, or a purchasing staff. Optionally, the electronic device 300 may also be a device used by a beekeeper.

[0126] Take the electronic device 300 as an example, which is used by users such as business owners, cooperative bee farm managers or purchasing personnel.

[0127] The electronic device 300 can obtain prompt information for characterizing the maturity of honey in the smart beehive and / or warning information for characterizing the adulteration of honey from the management platform 200 through the acquisition device 310, and output the prompt information and / or warning information. In addition, as described above, the management platform 200 can also add the maturity and / or adulteration of honey in the smart beehive to the blockchain, so the electronic device 300 can also obtain the maturity and / or adulteration from the blockchain through the acquisition device 310.

[0128] The user can determine whether to go to the beekeeper to purchase honey based on the acquired maturity data. For example, if the honey in the smart beehive is highly mature, the user can go to the beekeeper to purchase the honey. After arriving at the beekeeper, the user can evaluate the maturity of the honey in the beehive. If the user thinks it is mature, the user can purchase it. If the user thinks it is not mature enough, the user can postpone the purchase. The user's evaluation information on maturity can be added to the blockchain through the upload device 320.

[0129] The user can also judge whether there is a risk in the honey production process based on the obtained adulteration information. If the risk is high, the user may not purchase it. If the risk is low or no risk, the user may purchase it directly. If the risk is between the two, the user may conduct on-site inspection before deciding whether to purchase it. The user's evaluation information on the adulteration situation can be added to the blockchain through the upload device 320.

[0130] The acquisition device 310 can also acquire other types of warning information from the management platform 200. The warning information mentioned here may be, but is not limited to, the operation information of the beekeeper on the smart beehive, such as the warning information of the change of the nectar source of the smart beehive.

[0131] When the electronic device 300 is a device used by beekeepers, the information reflecting the market supply and demand situation can also be obtained from the management platform through the acquisition device 310. Thus, beekeepers can grasp the market supply and demand situation in a timely manner, and can adjust beekeeping strategies or set honey prices according to the supply and demand situation. Thus, the interests of beekeepers can be protected and the efficiency of beekeeping can be improved.

[0132] Application Examples

[0133] Figure 6 A business process diagram for ensuring honey is harvested after maturity according to an embodiment of the present disclosure is shown.

[0134] See also Figure 6 ,The data collected by the smart beehive can be uploaded to the management platform, and the data can be automatically uploaded to the blockchain traceability system.

[0135] The management platform can determine the maturity of the honey in the smart beehive based on the data collected by the smart beehive, and automatically upload the maturity data to the blockchain traceability system. The management platform can also push the maturity data to managers or purchasing personnel.

[0136] When managers or buyers go to beekeepers to purchase honey, they can decide whether to purchase the beekeeper's honey based on the maturity of the honey in the beehive. In addition, managers or buyers can output the evaluation results of the maturity of the bees through electronic devices, and the results will be automatically uploaded to the blockchain traceability system.

[0137] In this embodiment, the blockchain traceability system refers to a data management system based on blockchain, which can be used to add data to a specific block in the blockchain and provide data query and traceability interfaces. The specific implementation of the blockchain traceability system is not described in detail in this disclosure.

[0138] The present invention introduces blockchain traceability as the basic underlying layer to realize automatic uploading of data from various links such as the collection data of smart beehives, maturity data of the management platform, and evaluation data during the acquisition process. Through mutual verification, the maturity of honey can be quickly discovered and judged, and mature honey can be harvested.

[0139] In addition, the present invention is based on blockchain technology and endorsed by multiple roles with mutual trust, which effectively connects beehives, beekeepers, beekeeping cooperative managers and purchasing company managers, and can form an evaluation system for the integrity of beekeepers to help harvest honey after it matures.

[0140] Figure 7 A business process diagram for preventing counterfeiting according to an embodiment of the present disclosure is shown.

[0141] See also Figure 7 ,The data collected by the smart beehive can be uploaded to the management platform, and the data can be automatically uploaded to the blockchain traceability system.

[0142] The management platform can determine the adulteration of honey in the smart beehive based on the data collected by the smart beehive, and automatically upload the adulteration situation to the blockchain traceability system. The management platform can also push the adulteration situation to management personnel or purchasing personnel.

[0143] Managers or purchasers can judge whether there are risks in the production process and the size of the risks based on the adulteration situation. In the case of a high risk, they may not purchase; in the case of a low risk, they may purchase; in the case of a medium risk, they can decide whether to purchase after testing. For example, if the management platform detects that a beekeeper frequently opens the smart beehive, or the bee colony is in an unhealthy state, and there may be adulteration and other violations, they can decide whether to purchase the beekeeper's honey based on the test results after on-site testing.

[0144] Managers or purchasers can also output the evaluation data of adulteration through electronic devices, and the evaluation data will be automatically uploaded to the blockchain traceability system. Among them, managers or purchasers can also output the evaluation results of the beekeepers' behavior through electronic devices, and the results will also be automatically uploaded to the blockchain traceability system.

[0145] In this embodiment, the management platform can judge the adulteration behavior in the production of beekeepers based on the data collected by the smart beehive, and can effectively identify the adulteration of sugar in the production of different bee species, different bee colony numbers, and different production areas, adulteration at the place of origin, illegal feeding of antibiotics, and adulteration during honey collection after production, effectively preventing adulteration in the production process of bees. And by combining anti-adulteration with blockchain technology, it can realize the automatic chaining of collected data, adulteration status, and evaluation information, ensuring multi-role supervision of honey production, multi-angle verification, and forming a honey production anti-adulteration solution.

[0146] The present disclosure can also be implemented as an auxiliary method for harvesting honey, including: obtaining data collected by a smart beehive for judging the maturity and / or adulteration of honey in the smart beehive; judging the maturity and / or adulteration based on the data. For the specific content of the data and the judgment principle of maturity and adulteration, please refer to the relevant description above, which will not be repeated here. After obtaining the maturity and / or adulteration, the maturity and / or adulteration can also be added to the blockchain. The specific implementation process of adding the maturity and / or adulteration to the blockchain can refer to the existing blockchain technology, which will not be repeated here.

[0147] The present disclosure can also be implemented as an auxiliary method for collecting honey, including: collecting data that can be used to determine the maturity and / or adulteration of the honey in the smart beehive; and sending the data to a management platform. The implementation method of collecting data can refer to the relevant description above, which will not be repeated here. Optionally, the collected data can also be added to the blockchain. The specific implementation process of adding the data to the blockchain can refer to the existing blockchain technology, which will not be repeated here.

[0148] The present disclosure can also be implemented as an auxiliary method for harvesting honey, including: obtaining prompt information for characterizing the maturity of the smart beehive and / or warning information for characterizing the adulteration of the honey from the management platform; adding the user's evaluation information on maturity and / or adulteration to the blockchain. The specific implementation process of adding the evaluation information to the blockchain can refer to the existing blockchain technology, which will not be repeated here.

[0149] The present disclosure can also be implemented as an auxiliary method for harvesting honey, including: acquiring data collected by a smart beehive; estimating the honey production of the smart beehive based on the data; and judging the market supply and demand situation based on the estimated results of the honey production of multiple smart beehives, and providing information reflecting the market supply and demand situation to beekeepers.

[0150] Figure 8 A schematic diagram of the structure of a computing device that can be used to implement the auxiliary method for harvesting honey according to an embodiment of the present disclosure is shown.

[0151] See also Figure 8 , the computing device 1000 includes a memory 1010 and a processor 1020 .

[0152] The processor 1020 may be a multi-core processor or may include multiple processors. In some embodiments, the processor 1020 may include a general-purpose main processor and one or more special coprocessors, such as a graphics processing unit (GPU), a digital signal processor (DSP), etc. In some embodiments, the processor 1020 may be implemented using a customized circuit, such as an application-specific integrated circuit (ASIC) or a field programmable gate array (FPGA).

[0153] The memory 1010 may include various types of storage units, such as system memory, read-only memory (ROM), and permanent storage devices. Among them, ROM can store static data or instructions required by the processor 1020 or other modules of the computer. The permanent storage device may be a readable and writable storage device. The permanent storage device may be a non-volatile storage device that does not lose the stored instructions and data even after the computer is powered off. In some embodiments, the permanent storage device uses a large-capacity storage device (such as a magnetic or optical disk, flash memory) as a permanent storage device. In some other embodiments, the permanent storage device may be a removable storage device (such as a floppy disk, optical drive). The system memory may be a readable and writable storage device or a volatile readable and writable storage device, such as a dynamic random access memory. The system memory may store some or all instructions and data required by the processor at run time. In addition, the memory 1010 may include any combination of computer-readable storage media, including various types of semiconductor memory chips (DRAM, SRAM, SDRAM, flash memory, programmable read-only memory), and disks and / or optical disks may also be used. In some embodiments, the memory 1010 may include a readable and / or writable removable storage device, such as a laser disc (CD), a read-only digital versatile disc (such as a DVD-ROM, a double-layer DVD-ROM), a read-only Blu-ray disc, an ultra-density optical disc, a flash memory card (such as an SD card, a mini SD card, a Micro-SD card, etc.), a magnetic floppy disk, etc. The computer-readable storage medium does not include carrier waves and transient electronic signals transmitted wirelessly or wired.

[0154] The memory 1010 stores executable codes, and when the executable codes are processed by the processor 1020 , the processor 1020 can execute the auxiliary method for collecting honey mentioned above.

[0155] The management system of the smart beehive, the smart beehive, the management platform, the electronic device, the auxiliary method for harvesting honey, and the computing device according to the present invention have been described in detail above with reference to the accompanying drawings.

[0156] Those skilled in the art will further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the disclosure herein may be implemented as electronic hardware, computer software, or a combination of both.

[0157] The flow chart and block diagram in the accompanying drawings show the possible architecture, function and operation of the system and method according to multiple embodiments of the present invention. In this regard, each square box in the flow chart or block diagram can represent a part of a module, program segment or code, and the part of the module, program segment or code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two continuous square boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0158] The embodiments of the present invention have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terms used herein are selected to best explain the principles of the embodiments, practical applications, or improvements to the technology in the market, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A management system for an intelligent beehive, characterized in that: include: Smart beehives, management platforms and electronic equipment, The smart beehive uploads the collected data to a data management system, wherein the data is data that can be used to determine the maturity and / or adulteration of the honey in the smart beehive. The management platform obtains the data, determines the maturity and / or adulteration of the honey in the smart beehive based on the data, and uploads the maturity and / or adulteration to the data management system. The electronic device obtains the user's evaluation information on the maturity and / or adulteration, and uploads the evaluation information to the data management system, The data include: first data for characterizing rainfall conditions in the smart beehive; Second data for characterizing the lighting conditions near the smart beehive, The management platform filters the first data based on the second data to remove data collected in rainy weather from the first data. The management platform determines the duration of rainfall in the smart beehive based on the filtered first data, and the determined duration of rainfall is used to characterize the duration of bees vibrating and fanning to remove excess moisture. The management platform determines the maturity based on the rainfall duration.

2. The management system according to claim 1, characterized in that: The data management system is used to add the received data to the blockchain based on the blockchain technology.

3. The management system according to claim 1, characterized in that: The management platform obtains the data from the smart beehive, or the management platform obtains the data from the data management system, The electronic device obtains the maturity and / or the adulteration status from the management platform, or the electronic device obtains the maturity and / or the adulteration status from the data management system.

4. The management system according to claim 1, characterized in that: The data also includes at least one of the following: Third data for representing the number of bees entering and leaving the smart beehive; Fourth data for representing weight information of the smart beehive; The fifth data is used to characterize the location information of the smart beehive.

5. The management system according to claim 4, characterized in that: The management platform determines the change in the number of bees entering and leaving the smart beehive based on the third data, and / or The management platform determines the weight change of the smart beehive based on the fourth data, and / or The management platform determines the production area where the smart beehive is located based on the fifth data, The management platform determines the maturity of the honey in the smart beehive based on the rainfall duration, the quantity change and / or the weight change, and / or the management platform determines the adulteration of the honey in the smart beehive based on one or more of the quantity change, the weight change and the production area.

6. The management system according to claim 1, characterized in that: The management platform also generates evaluation information for the beekeeper corresponding to the smart beehive based on the maturity and / or adulteration status and the evaluation information.

7. The management system according to claim 6, characterized in that: The management platform also sends the evaluation information of the beekeeper together with the maturity and / or adulteration status to the electronic device.

8. The management system according to claim 1, characterized in that: The management platform is also used to estimate the honey production of the smart beehive, and / or, The management platform also determines the market supply and demand situation based on the estimated results of the honey production of multiple smart beehives, and provides the beekeepers with information reflecting the market supply and demand situation.

9. A management system for an intelligent beehive, characterized in that: include: Smart beehive and management platform, The smart beehive sends the collected data to the management platform, wherein the data can be used to determine the maturity and / or adulteration of the honey in the smart beehive. The management platform determines the maturity and / or adulteration of the honey in the smart beehive based on the data, The data include: first data for characterizing rainfall conditions in the smart beehive; Second data for characterizing the lighting conditions near the smart beehive, The management platform filters the first data based on the second data to remove data collected in rainy weather from the first data. The management platform determines the duration of rainfall in the smart beehive based on the filtered first data, and the determined duration of rainfall is used to characterize the duration of bees vibrating and fanning to remove excess moisture. The management platform determines the maturity based on the rainfall duration.

10. A management system for an intelligent beehive, characterized in that: include: Smart beehive and management platform, The smart beehive sends the collected data to the management platform. The management platform estimates the honey production of the smart beehive based on the data, determines the market supply and demand situation based on the estimated results of the honey production of multiple smart beehives, and provides information reflecting the market supply and demand situation to beekeepers. The data include: first data for characterizing rainfall conditions in the smart beehive; Second data for characterizing the lighting conditions near the smart beehive, The management platform filters the first data based on the second data to remove data collected in rainy weather from the first data. The management platform determines the duration of rainfall in the smart beehive based on the filtered first data, and the determined duration of rainfall is used to characterize the duration of bees vibrating and fanning to remove excess moisture. The management platform determines the maturity based on the rainfall duration.

11. A management platform for intelligent beehives, characterized in that: include: An acquisition device, used to acquire data collected by the smart beehive that can be used to determine the maturity and / or adulteration of honey in the smart beehive; and A judging device, for judging the maturity and / or adulteration based on the data, The data include: first data for characterizing rainfall conditions in the smart beehive; Second data for characterizing the lighting conditions near the smart beehive, The determining device filters the first data based on the second data to remove the data collected in rainy weather from the first data. The judgment device determines the duration of rainfall in the intelligent beehive based on the filtered first data, and the determined duration of rainfall is used to characterize the duration of bees vibrating and fanning to remove excess moisture. The judging device determines the maturity based on the rainfall duration.

12. The management platform according to claim 11, characterized in that: Also includes: The uploading device is used to upload the maturity and / or adulteration status to the data management system.

13. The management platform according to claim 12, characterized in that: The data management system is used to add the received data to the blockchain based on the blockchain technology.

14. The management platform according to claim 11, characterized in that: The data also includes at least one of the following: Third data for representing the number of bees entering and leaving the smart beehive; Fourth data for representing weight information of the smart beehive; The fifth data is used to characterize the location information of the smart beehive.

15. The management platform according to claim 14, characterized in that: The determining device determines the change in the number of bees entering and leaving the smart beehive based on the third data, and / or The determining device determines the weight change of the smart beehive based on the fourth data, and / or The judging device determines the production area where the smart beehive is located based on the fifth data, The judging device judges the maturity of the honey in the smart beehive based on the rainfall duration, the quantity change and / or the weight change, and / or the judging device judges the adulteration of the honey in the smart beehive based on one or more of the quantity change, the weight change and the production area.

16. The management platform according to claim 11, characterized in that: Also includes: The sending device is used to send prompt information characterizing the maturity and / or early warning information characterizing the adulteration situation to the user.

17. The management platform according to claim 11, characterized in that: Also includes: A yield estimation device, used to estimate the honey yield of the intelligent beehive; A supply and demand judgment device, used to judge the market supply and demand situation based on the estimated results of the honey production of a plurality of said intelligent beehives; as well as A device is provided for providing beekeepers with information reflecting market supply and demand conditions.

18. A management platform for intelligent beehives, characterized in that: include: An acquisition device, used to acquire data collected by the smart beehive; A yield estimation device, for estimating the honey yield of the smart beehive based on the data; A supply and demand judgment device, used to judge the market supply and demand situation based on the estimated results of the honey production of a plurality of said intelligent beehives; as well as Providing means for providing information reflecting market supply and demand to beekeepers, The data include: first data for characterizing rainfall conditions in the smart beehive; Second data for characterizing the lighting conditions near the smart beehive, The management platform filters the first data based on the second data to remove data collected in rainy weather from the first data. The management platform determines the duration of rainfall in the smart beehive based on the filtered first data, and the determined duration of rainfall is used to characterize the duration of bees vibrating and fanning to remove excess moisture. The management platform determines the maturity based on the rainfall duration.

19. An intelligent beehive, characterized in that: include: A data collection device, used to collect data that can be used to determine the maturity and / or adulteration of honey in the smart beehive, the data comprising: first data for characterizing the rainfall conditions in the smart beehive; second data for characterizing the lighting conditions near the smart beehive; and A sending device is used to send the data to a management platform. The management platform filters the first data based on the second data to eliminate the data collected in rainy weather in the first data. The management platform determines the rainfall duration in the smart beehive based on the filtered first data. The determined rainfall duration is used to characterize the duration of bees vibrating and fanning to remove excess moisture. The management platform determines the maturity based on the rainfall duration.

20. The intelligent beehive according to claim 19, characterized in that: The sending device is also used to upload the data to a data management system.

21. The intelligent beehive according to claim 20, characterized in that: The data management system is used to add the received data to the blockchain based on the blockchain technology.

22. The intelligent beehive according to claim 19, characterized in that: The data acquisition device includes at least one of the following: A rainfall monitoring device, used to monitor rainfall conditions in the smart beehive; A light monitoring device, used to monitor the light conditions near the smart beehive; A counting sensor, used to detect the number of bees entering and leaving the smart beehive; A weighing sensor, used to detect the weight information of the smart beehive; A positioning sensor is used to determine the location information of the smart beehive.

23. An electronic device, characterized in that: include: An acquisition device, used to acquire prompt information for characterizing the maturity of honey in the smart beehive and / or early warning information for characterizing the adulteration of the honey from the management platform; as well as an uploading device, used to upload the user's evaluation information on the maturity and / or adulteration to the data management system, Among them, the maturity is determined by the management platform based on the rainfall duration, the rainfall duration is determined by the management platform based on the filtered first data, the filtered first data is obtained by the management platform filtering the first data based on the second data, the filtered first data is used to eliminate the data collected in rainy weather in the first data, the determined rainfall duration is used to characterize the duration of bees vibrating and fanning to remove excess moisture, the first data is used to characterize the rainfall conditions in the smart beehive, and the second data is used to characterize the lighting conditions near the smart beehive.

24. The electronic device according to claim 23, characterized in that: The acquisition device is also used to acquire evaluation information of the beekeeper corresponding to the smart beehive from the management platform.

25. A method for assisting in collecting honey, characterized in that: include: Acquiring data collected by a smart beehive that can be used to determine the maturity and / or adulteration of honey in the smart beehive; as well as Based on the data, determine the maturity and / or adulteration situation, The data includes: first data for characterizing the rainfall conditions in the smart beehive; second data for characterizing the lighting conditions near the smart beehive, Based on the data, the maturity and / or adulteration is judged, including: filtering the first data based on the second data to eliminate the data collected in rainy weather in the first data; based on the filtered first data, determining the rainfall duration in the smart beehive, the determined rainfall duration is used to characterize the duration of bees vibrating and fanning to remove excess moisture; and determining the maturity based on the rainfall duration.

26. A method for assisting in collecting honey, characterized in that: include: Collecting data that can be used to determine the maturity and / or adulteration of honey in the smart beehive, the data comprising: first data for characterizing rainfall conditions in the smart beehive; second data for characterizing light conditions near the smart beehive; and The data is sent to a management platform, and the management platform filters the first data based on the second data to eliminate data collected in rainy weather in the first data. The management platform determines the rainfall duration in the smart beehive based on the filtered first data. The determined rainfall duration is used to characterize the duration that the bees vibrate and fan to remove excess moisture. The management platform determines the maturity based on the rainfall duration.

27. A method for assisting in collecting honey, characterized in that: include: Obtaining prompt information for characterizing the maturity of the smart beehive and / or early warning information for characterizing the adulteration of the honey from the management platform; as well as Upload the user's evaluation information on the maturity and / or adulteration to the data management system, Among them, the maturity is determined by the management platform based on the rainfall duration, the rainfall duration is determined by the management platform based on the filtered first data, the filtered first data is obtained by the management platform filtering the first data based on the second data, the filtered first data is used to eliminate the data collected in rainy weather in the first data, the determined rainfall duration is used to characterize the duration of bees vibrating and fanning to remove excess moisture, the first data is used to characterize the rainfall conditions in the smart beehive, and the second data is used to characterize the lighting conditions near the smart beehive.

28. A method for assisting in collecting honey, characterized in that: include: Obtain data collected by smart beehives; estimating the honey production of the smart beehive based on the data; as well as Based on the estimated results of honey production of multiple intelligent beehives, the market supply and demand situation is judged, and information reflecting the market supply and demand situation is provided to beekeepers, The data includes: first data for characterizing the rainfall conditions in the smart beehive; second data for characterizing the lighting conditions near the smart beehive; the method also includes: filtering the first data based on the second data to eliminate the data collected in rainy weather in the first data; determining the rainfall duration in the smart beehive based on the filtered first data, the determined rainfall duration is used to characterize the duration of bees vibrating and fanning to remove excess moisture; and determining the maturity based on the rainfall duration.

29. A computing device comprising: processor; as well as A memory having executable codes stored thereon, which, when executed by the processor, causes the processor to perform the method according to any one of claims 25 to 28.

30. A non-transitory machine-readable storage medium having executable codes stored thereon, which, when executed by a processor of an electronic device, causes the processor to execute the method according to any one of claims 25 to 28.

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