CN112308268A

CN112308268A - Intelligent beehive, management platform, electronic equipment and management system

Info

Publication number: CN112308268A
Application number: CN201910695750.8A
Authority: CN
Inventors: 王文珂; 马娇; 刘少乾
Original assignee: Alibaba Group Holding Ltd
Current assignee: Alibaba Group Holding Ltd
Priority date: 2019-07-30
Filing date: 2019-07-30
Publication date: 2021-02-02

Abstract

An intelligent beehive, a management platform, electronic equipment and a management system are disclosed. In one embodiment, the intelligent beehive adds the collected data to the block chain, the data is data which can be used for judging the maturity and/or adulteration of honey in the intelligent beehive, the management platform obtains the data, judges the maturity and/or adulteration of the honey in the intelligent beehive based on the data and adds the maturity and/or adulteration to the block chain, and the electronic device obtains evaluation information of a user for the maturity and/or adulteration and adds the evaluation information to the block chain. The honey harvesting device has the advantages that the honey harvesting is judged to be mature according to the maturity of honey in the honey box, the adulteration condition of the honey in the honey box is judged, the support can be provided for preventing adulteration in the honey production and harvesting processes, and through chaining data of all links, multi-role supervision and multi-angle verification can be achieved in the honey production process, so that the support can be provided for tracing of problem honey.

Description

Intelligent beehive, management platform, electronic equipment and management system

Technical Field

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

Along with the improvement of living standard, the demand of honey is continuously increased, which also greatly stimulates the development of the beekeeping industry. The bee-keeping industry has the characteristics of small breeding scale and high labor intensity, and no effective means is available in the industry to intelligently supervise and guide the honey production process, so that the bee-keeping efficiency is low, the honey quality is not certified, and the development of the bee-keeping industry is limited to a certain extent.

For example, mature honey refers to "real honey" that is collected and fermented by bees, is flapped by wings of bees to remove excess water, and is put into a honeycomb for sealing and storage. The mature honey has rich nutrient components and real health care value, the domestic market has good feedback on the mature honey, and high-end honey imported from abroad and having certain health care value is the mature honey.

The processed honey is obtained by rapidly concentrating primary water honey collected by bees at high temperature. The processed honey has much lower nutritional ingredients and health care value than mature honey, but has high production speed, high yield and low cost.

The adulterated honey is obtained by means of production process counterfeiting (such as feeding syrup), honey production area counterfeiting and adulteration in mature honey.

Processed honey and adulterated honey greatly impact the mature honey market, and most of honey contacted by domestic consumers at present is processed honey or adulterated honey. In the industry, whether the honey is mature honey and whether the honey is adulterated can be distinguished only through detection after production, and the detection mode belongs to post detection and cannot fundamentally solve the problems of production of the mature honey and adulteration of the honey.

If can judge whether honey is ripe honey at the production end, perhaps whether honey is adulterated, then can guarantee honey quality from the source.

Therefore, there is a need for a solution that enables intelligent supervision and/or guidance of the honey production process.

Disclosure of Invention

It is an object of the present disclosure to provide a solution that enables intelligent supervision and/or guidance of the honey production process.

According to a first aspect of the present disclosure, a management system of an intelligent beehive is provided, comprising: the intelligent beehive uploads collected data to a data management system, the data are used for judging the maturity and/or adulteration of honey in the intelligent beehive, the management platform obtains the data, judges the maturity and/or adulteration of the honey in the intelligent beehive based on the data and uploads the maturity and/or adulteration to the data management system, and the electronic equipment obtains evaluation information of a user aiming at the maturity and/or adulteration and uploads the evaluation information to the data management system.

Optionally, the data management system is configured to add the received data to the blockchain based on a blockchain technique.

Optionally, the management platform acquires data from the intelligent beehive, or the management platform acquires data from the data management system, the electronic device acquires maturity and/or adulteration from the management platform, or the electronic device acquires maturity and/or adulteration from the data management system.

Optionally, the data comprises at least one of: first data for characterizing a rainfall condition in the smart hive; second data used for representing the lighting condition near the intelligent beehive; third data for characterizing quantity information of bees entering and exiting the intelligent beehive; fourth data for characterizing weight information of the smart hive; fifth data for characterizing location information of the smart hive.

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

Optionally, the management platform further generates evaluation information for the beekeeper corresponding to the intelligent beehive according to the maturity and/or the adulteration condition and the evaluation information.

Optionally, the management platform further sends evaluation information for the beekeepers to the electronic device together with the maturity and/or the adulteration condition.

Optionally, the management platform is further configured to estimate honey yields of the intelligent beehives, and/or the management platform is further configured to judge market supply and demand conditions based on estimated results of honey yields of the intelligent beehives, and provide information reflecting the market supply and demand conditions to the beekeeper.

According to a second aspect of the present disclosure, there is also provided a management system of an intelligent beehive, including: the intelligent beehive sends the collected data to the management platform, the data are data which can be used for judging the maturity and/or adulteration of honey in the intelligent beehive, and the management platform judges the maturity and/or adulteration of honey in the intelligent beehive based on the data.

According to a third aspect of the present disclosure, there is also provided a management system of an intelligent beehive, including: the intelligent beehive comprises an intelligent beehive body and a management platform, the intelligent beehive body sends collected data to the management platform, the management platform predicts honey yield of the intelligent beehive body based on the data, market supply and demand conditions are judged based on prediction results of the honey yield of the intelligent beehives, and information used for reflecting the market supply and demand conditions is provided for beekeepers.

According to the fourth aspect of the present disclosure, there is also provided a management platform of an intelligent beehive, including: the acquisition device is used for acquiring data which are acquired by the intelligent beehive and can be used for judging the maturity and/or adulteration of the honey in the intelligent beehive; and the judging device is used for judging the maturity and/or the adulteration condition based on the data.

Optionally, the management platform further comprises: and the uploading device is used for uploading the maturity and/or the adulteration condition to the data management system.

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

Optionally, the management platform further comprises: and the sending device is used for sending prompt information for representing the maturity and/or early warning information for representing the adulteration situation to the user.

Optionally, the management platform further comprises: the yield pre-estimation device is used for pre-estimating the honey yield of the intelligent beehive; the supply and demand judgment device is used for judging market supply and demand conditions based on the estimated results of the honey yield of the intelligent beehives; and the providing device is used for providing the information reflecting the market supply and demand conditions to the beekeeper.

According to a fifth aspect of the present disclosure, there is also provided a management platform of an intelligent beehive, comprising: the acquisition device is used for acquiring data acquired by the intelligent beehive; the yield pre-estimation device is used for pre-estimating the honey yield of the intelligent beehive based on the data; the supply and demand judgment device is used for judging market supply and demand conditions based on the estimated results of the honey yield of the intelligent beehives; and the providing device is used for providing the information reflecting the market supply and demand conditions to the beekeeper.

According to a sixth aspect of the present disclosure, there is also provided an intelligent beehive, comprising: the data acquisition device is used for acquiring data which can be used for judging the maturity and/or adulteration of the honey in the intelligent beehive; and a transmitting device for transmitting the data to the management platform.

Optionally, the sending device is further configured to upload the data to the data management system.

Optionally, the data acquisition device comprises at least one of: the rainfall monitoring device is used for monitoring the rainfall condition in the intelligent beehive; the illumination monitoring device is used for monitoring the illumination condition near the intelligent beehive; the counting sensor is used for detecting the quantity information of the bees entering and exiting the intelligent beehive; the weighing sensor is used for detecting weight information of the intelligent beehive; and the positioning sensor is used for determining the position information of the intelligent beehive.

According to a seventh aspect of the present disclosure, there is also provided an electronic device, comprising: the acquisition device is used for acquiring prompt information for representing the maturity of the honey in the intelligent beehive and/or early warning information for representing the adulteration condition of the honey from the management platform; and the uploading device is used for uploading the evaluation information of the user aiming at the maturity and/or the adulteration condition to the data management system.

Optionally, the obtaining device is further configured to obtain, from the management platform, evaluation information of a beekeeper corresponding to the intelligent beehive.

According to an eighth aspect of the present disclosure, there is also provided an auxiliary method for harvesting honey, comprising: acquiring data which is acquired by an intelligent beehive and can be used for judging the maturity and/or adulteration of honey in the intelligent beehive; and determining maturity and/or adulteration based on the data.

According to a ninth aspect of the present disclosure, there is also provided an auxiliary method for harvesting honey, comprising: collecting data which can be used for judging the maturity and/or adulteration of honey in the intelligent beehive; and sending the data to the management platform.

According to a tenth aspect of the present disclosure, there is also provided an auxiliary method of harvesting honey, comprising: acquiring prompt information for representing the maturity of the intelligent beehive and/or early warning information for representing the adulteration of honey from a management platform; and uploading evaluation information of the user for the maturity and/or the adulteration condition to a data management system.

According to an eleventh aspect of the present disclosure, there is also provided an auxiliary method for harvesting honey, comprising: acquiring data acquired by an intelligent beehive; predicting the honey yield of the intelligent beehive based on the data; and judging the market supply and demand conditions based on the estimated results of the honey yield of the intelligent beehives, and providing the information for reflecting the market supply and demand conditions to the beekeeper.

According to a twelfth aspect of the present disclosure, there is also provided a computing device, comprising: a processor; and a memory having executable code stored thereon, which when executed by the processor, causes the processor to perform the method as recited in any one of the eighth to eleventh aspects of the disclosure.

According to a thirteenth aspect of the present disclosure, there is also presented a non-transitory machine-readable storage medium having stored thereon executable code, which when executed by a processor of an electronic device, causes the processor to perform the method as recited in any one of the eighth to eleventh aspects of the present disclosure.

This data that this disclosure was gathered according to intelligent beehive can monitor the maturity and/or the adulteration condition of honey in the beehive to/or can also predict the output of honey, can further judge market supply and demand condition based on predicting the result, and feed back to the beekeeper. Therefore, intelligent supervision and/or guidance of the honey production process can be realized.

Drawings

The above and other objects, features and advantages of the present disclosure will become more apparent by describing in greater detail exemplary embodiments thereof with reference to the attached drawings, in which like reference numerals generally represent like parts throughout.

FIG. 1 shows a schematic block diagram of the structure of a management system of an intelligent beehive according to an embodiment of the present disclosure.

FIG. 2 shows a schematic block diagram of the structure of an intelligent beehive according to an embodiment of the present disclosure.

FIG. 3 shows a schematic block diagram of the structure of a management platform according to an embodiment of the present disclosure.

FIG. 4 shows a schematic block diagram of the structure of a management platform according to an embodiment of the present disclosure.

Fig. 5 shows a schematic block diagram of the structure of an electronic device according to an embodiment of the present disclosure.

Fig. 6 shows a business flow diagram for ensuring honey harvest after maturation according to an embodiment of the present disclosure.

FIG. 7 illustrates a business flow diagram for anti-adulteration according to an embodiment of the present disclosure.

FIG. 8 shows a schematic structural diagram of a computing device according to an embodiment of the present disclosure.

Detailed Description

Preferred embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While the preferred embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

The data acquisition device can be arranged in the beehive, and the intelligent supervision and/or guidance of the honey production process are realized by using the data acquired by the data acquisition device.

For example, the data acquisition device can be used for acquiring data which can be used for judging the maturity and/or adulteration of honey in the bee box, and the maturity and/or adulteration of honey in the bee box can be judged according to the data acquired by the data acquisition device. Therefore, support is provided for judging whether the honey is mature or not and whether the honey is adulterated or not at the production end, and a realization basis is provided for ensuring that the honey is harvested after being mature and preventing the harvested honey from being adulterated. The structure of the data acquisition device, the maturity of honey and the judgment principle of whether honey is adulterated will be explained below, and will not be repeated here.

For example, the honey yield can be estimated according to the data collected by the data collecting device and/or through judging the obtained honey maturity/adulteration condition information, the information such as supply and demand relationship, gap yield and the like is further determined based on the estimation result, and the determined information can be fed back to the beekeeper, so that the beekeeper can master the market supply and demand conditions in time.

The disclosure also provides that data (such as data collected by a data collection device, determined maturity data and/or adulteration condition, evaluation data for maturity and/or adulteration condition, and the like) generated in each link from the generation of honey in a beehive to the process of collecting honey by a collector can be uploaded to a data management system (for example, a block chain can be uploaded), so that multi-role supervision and multi-angle verification in the honey production process can be realized, and support can be provided for tracing of problem honey.

The following further describes aspects of the present disclosure.

FIG. 1 shows a schematic block diagram of the structure of a management system of an intelligent beehive according to one embodiment of the present disclosure.

Referring to FIG. 1, a management system 1000 of a smart beehive includes a management platform 200, one or more smart beehives 100, and one or more electronic devices 300.

The management platform 200 may access a plurality of intelligent beehives 100 and a plurality of electronic devices 300. The intelligent beehive 100 corresponds to a beekeeper, and the user corresponding to the electronic device 300 may be, but is not limited to, an enterprise owner, a management person of a beekeeping cooperative, a purchasing person of a honey purchasing enterprise, a beekeeper, and the like.

Taking the example that the user corresponding to the electronic device 300 is a webmaster of an enterprise owner or a cooperative society, a beekeeper, the enterprise owner or the cooperative society webmaster can establish a "webmaster" on the management platform 200. The beekeeper can be added into the 'bee field' to establish a management group together with the enterprise owner and the cooperative community bee field manager. The beekeeper can add intelligent beehive 100 in the "bee field" on the management platform 200, and the binding of the intelligent beehive 100 and the "bee field" is realized.

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

The management platform 200 can also use a background algorithm to estimate the yield of honey in the intelligent beehive 100 based on the data collected by the intelligent beehive 100, further judge the market supply and demand conditions based on the estimation results of the yield of honey in all the beehives under the platform, and push information for reflecting the market supply and demand conditions to the beekeeper so that the beekeeper can timely master the market supply and demand relationship and guide the production behavior of the beekeeper.

The business owner or the co-worker meadow manager may also view other relevant information of the intelligent hive 100 through the electronic device 300. For example, the management platform 200 may also push operation information of the beekeepers and related early warning information to the bee field management personnel or business owners in time.

The structures and functions that can be implemented by the intelligent beehive 100, the management platform 200 and the electronic device 300 are further described below, respectively.

Intelligent beehive

FIG. 2 shows a schematic block diagram of the structure of an intelligent beehive according to one embodiment of the present disclosure.

Referring to FIG. 2, the smart hive 100 includes a data acquisition device 110 and a transmission device 120.

The data collection device 110 is used for collecting data, for example, data that can be used for judging the maturity and/or adulteration of honey in the intelligent beehive 100, and data that can be used for judging the yield of honey in the intelligent beehive can be collected.

The sending device 120 is configured to send the data to the management platform for processing by the management platform. The sending device 120 may also be configured to upload data collected by the data collecting device 110 to a data management system, and the data management system stores the data to provide support for tracing, for example, to provide support for tracing problem honey.

In order to ensure the reliability of the tracing, the data management system may be a blockchain system implemented based on a blockchain technology, and the data management system may add the received data to the blockchain based on the blockchain technology. The specific implementation process of adding data to the block chain may refer to the existing block chain technology, and is not described herein again.

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

Rainfall monitoring devices is used for monitoring the rainfall condition in the intelligent beehive, also monitors whether rainfall appears in the intelligent beehive. The rainfall monitoring device may be, but is not limited to, a rainfall sensor. Wherein, rainfall monitoring devices can set up in the inside of intelligence beehive 100 for the inside rainfall condition of monitoring beehive, perhaps rainfall monitoring devices also can set up in the outside of intelligence beehive 100 (if can set up in the beehive bottom), monitors the rainfall condition from the outflow of intelligence beehive 100.

The illumination monitoring device is used for monitoring the illumination condition near the intelligent beehive 100. The illumination monitoring device may be, but is not limited to, an illumination sensor. The illumination monitoring device may be arranged outside the smart hive 100 for monitoring ambient illumination near the smart hive 100.

The counting sensor is used to detect the number information of the bees entering and exiting the intelligent hive 100. The counting sensor may be, but is not limited to, an infrared counting sensor. The counting sensor can be installed at the door of the intelligent beehive 100 to count the number of bees passing in and out of the bee colony.

The weighing sensor is used to detect weight information of the intelligent beehive 100. The weight information referred to herein may refer to the total weight of the hive, or may refer to weight change information of the hive. In other words, the load cells may be used to detect the total weight of the smart hive 100, as well as the weight change of the smart hive 100. For example, the weighing sensor can be the sensor that is used for taking notes to the weight change condition of intelligent beehive 100, if can adopt the weighing system that can carry out accurate record to 100g and above weight change to realize the accurate control to beehive weight change, after the initialization of accomplishing the beehive, can calculate the initial set point and reach the beehive accumulative total weight gain of the time point of gathering.

The positioning sensors are used to determine the location information of the smart hive 100. The positioning sensor can adopt but is not limited to a Beidou navigation positioning sensor and a GPS positioning sensor. For example, positioning sensor can fix a position through big dipper navigation + GPS to realize fast that 10 meters of beehives and above position change carry out accurate warning, and can accurately acquire the positional information of beehive location.

For the sake of convenience of distinction, the data detected by the rainfall monitoring device for characterizing the rainfall condition in the smart hive may be referred to as "first data", the data detected by the illumination monitoring device for characterizing the illumination condition near the smart hive may be referred to as "second data", the data detected by the counting sensor for characterizing the number of bees entering or exiting the smart hive may be referred to as "third data", the data detected by the weighing sensor for characterizing the weight information of the smart hive may be referred to as "fourth data", and the data detected by the positioning sensor for characterizing the position information of the smart hive may be referred to as "fifth data".

Management platform

FIG. 3 shows a schematic block diagram of the structure of a management platform according to one embodiment of the present disclosure. Referring to fig. 3, the management platform 200 includes an obtaining device 210 and a determining device 220, and may further include an uploading device 230 and/or a sending device 240.

The obtaining device 210 is used for obtaining data collected by the intelligent beehive 100, which can be used for judging the maturity and/or adulteration of honey in the intelligent beehive 100. Wherein the obtaining means 210 may obtain the data from the smart hive 100. As described above, the smart hive 100 may upload the collected data to the data management system, and thus the obtaining device 210 may also obtain the data from the data management system. For the specific content and the collection manner of the data, reference may be made to the description above in conjunction with fig. 2, which is not described herein again.

The determining means 220 may determine the maturity and/or adulteration of honey in the intelligent beehive 100 based on the data collected by the intelligent beehive 100.

The following is an exemplary explanation of the judgment principle of the maturity of honey and the judgment principle of the adulteration.

[ judgment of Honey maturity ]

1. Rainfall duration monitoring

In the process of producing mature honey, the bees can vibrate through wings to fan, so that the excessive water in the honey is removed, and after the honey is deemed to be stored for a long time, the honey is sealed at the opening of the bee nest. In general, the production of mature honey requires a certain period of time (e.g., 10 to 15 days).

Therefore, the rainfall duration in the intelligent beehive can be determined based on the first data monitored by the rainfall monitoring device, and the determined rainfall duration can be used for representing the duration of the bee vibration fanning to remove the redundant moisture. Whether the honey in the beehive is mature can be determined by judging whether the rainfall time is in a reasonable time range.

By way of example, the length of rainfall in each hour may be determined in hours, and if the length of rainfall in that hour is greater than half an hour, that hour may be counted as one valid hour, from which the number of valid hours for the smart hive may be determined. Empirically, if more than 90% of the mature capped honey is formed, the sum of effective hours is guaranteed to be between 288 and 360 hours, and the sum of effective hours can be compared to the number of hours required to determine the maturity of the honey in the intelligent beehive. Wherein the requirement for the sum of effective hours may vary between different regions.

In rainy weather, the rainfall monitoring device may detect rainfall even if the bees in the hive do not vibrate the fan. In order to eliminate invalid acquisition caused by rainy weather, the disclosure provides that the first data can be filtered based on the illumination condition monitored by the illumination monitoring device to reject the data acquired in the first data in rainy weather.

That is to say, when the ambient light data (i.e., the second data) monitored by the light monitoring device indicates that the light is low, it may be considered as rainy weather, and the rainfall data (i.e., the first data) collected by the rainfall monitoring device in the period may be removed. Thus, when determining the rainfall duration based on the first data, the rainfall duration may also be adjusted based on the second data.

2. Bee in and out counting monitoring

Based on the third data, a number of bees entering and exiting the intelligent hive may be determined. The data of the bees are stable, and the bees do not rapidly decrease or rapidly increase in multiples in a short period, so that the bee colony can be judged to be a strong bee colony. When the bee colony is in a strong state, the collected honey can be ensured not to be consumed by the bee colony. In other words, when the bee colony is in a strong state, it can be considered that the bee colony is currently in a normal honey collection period.

Therefore, the maturity of the honey in the intelligent beehive can be judged according to the number change condition of the bees entering and exiting the intelligent beehive. Generally speaking, the bee colony in-out data is reduced, and has a certain negative correlation with the honey maturity.

3. Beehive weight monitoring

Based on the fourth data, a weight change condition of the smart beehive may be determined. After honey is digested and fermented by bees and dried by vibrating wings, the change of the weight of the beehive gradually becomes stable, and no space is provided for the bees to continuously collect honey in the beehive within a certain time. Therefore, the maturity of the honey in the beehive can be judged according to the weight change condition of the beehive. For example, the maturity of honey in a beehive may be considered high where the magnitude of the weight change of the beehive is less than a predetermined threshold.

This openly can be according to rainfall duration control, in the control of honeybee business turn over count and the control of beehive weight one or more, come to judge the maturity of honeybee in the beehive. That is, when judging the maturity of honey in the beehive, one or more of the rainfall duration, the number change of bees entering and exiting the beehive, and the weight change of the beehive may be referred to. For example, if the rainfall duration is within a reasonable range, the change range of the weight of the beehive in the morning and the weight of the beehive in the evening is smaller than a preset threshold value, the total body shows a continuous increasing trend, and the bee colony in-out data begins to decline, then the honey in the beehive can be judged to be mature.

It should be noted that other factors (such as time factor) can also be referred to in judging the maturity degree of honey. For example, the production time of mature honey is generally 6-9 months per year, mainly determined by the honey flow peak time of local honey-derived plants. Therefore, it is also possible to determine the honey source place where the beehive is located based on the position information of the beehive (i.e. the above-mentioned fifth data), and determine the production time of the matured honey based on the honey source plants of the honey source place, whereby the determined production time may also be referred to when judging the maturity.

[ judgment of adulteration of Honey ]

1. Judgment of adulteration of yield

The weight change condition of the intelligent beehive can be determined based on the fourth data detected by the weighing sensor. According to the weight change condition, whether the output of the honey in the intelligent beehive is adulterated or not can be judged.

By way of example, the total weight (i.e. the estimated yield) of the honey in the beehive from initialization to harvesting can be determined by using the weighing function of the weighing sensor, that is, the weight increase of the intelligent beehive from initialization to harvesting can be determined according to the fourth data, that is, the estimated yield.

When the manager or the purchasing personnel collect the honey on the spot, the estimated yield can be compared with the yield of the beehive provided by the beekeeper, and if the difference value between the yield of the honey provided by the beekeeper and the estimated yield is larger than a preset threshold value, the adulteration in the honey cutting and collecting processes can be judged. For example, if the honey yield of the beehive provided by the beekeeper is greater than the estimated yield, the honey provided by the beekeeper can be judged to be adulterated, and the manager or the buyer can refuse to buy the honey.

2. Judgment of adulteration of feeding syrup

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

As an example, the production behaviors of a beekeeper opening a beehive, adding a sugar feeder into the beehive, hanging a duckbill sugar feeder at a bee door and the like can be accurately monitored by using the weighing function of a weighing sensor. For example, most of feeding devices such as sugar feeders and sugar feeders are standardized products, so that the weights of the sugar feeders/sugar feeders can be counted, and whether adulteration behaviors such as feeding syrup exist in the production process is judged by monitoring whether the instantaneous weight change of the intelligent beehive is equivalent to the counted weights of the sugar feeders/sugar feeders.

3. Judgment of adulteration of antibiotics fed

Based on the third data detected by the counting sensor, the number change of the bees entering and exiting the intelligent beehive can be determined.

In the production process, weak bee colonies and bee colonies (the left-behind queen is a young queen) are often fed with antibiotic veterinary drugs to improve the resistance and yield. Therefore, when the number of the bee colonies is detected to be always in a lower level or the fruit number is doubled and increased in spring, the possibility of adulteration such as feeding antibiotics can be judged. When it is judged that adulteration behaviors such as feeding antibiotics possibly exist, the intelligent management platform can send out early warning to remind managers and/or purchasing personnel to pay attention to the bee colony condition. When the manager and/or the purchasing personnel purchase honey, whether the honey is purchased or not is determined after the honey is detected by test paper monitoring or other means.

4. Adulteration judgment in producing area

From the position information of the smart hive (i.e. the fifth data mentioned above) detected by the positioning sensors, the production area where the smart hive is located can be determined. The production area, namely the honey production area, can be divided into a plurality of production areas based on the quality of honey sources. The intelligent beehive can determine the producing area according to the geographical position of the intelligent beehive when being initialized. During production, the producing area where the hive is located may be monitored based on the fifth data, and if a change in the producing area of the hive is found (e.g., moving from a good producing area to a bad producing area), it may be determined that the producing area is adulterated. As an example, once the hive is moved out of the production zone, an alarm may be automatically raised, thereby preventing the beekeeper from adulterating with other production zone honey sources.

In conclusion, whether the yield of honey is adulterated or not and whether a syrup feeding behavior exists in the production process or not can be judged according to the weight change condition of the intelligent beehive; according to the quantity change condition of the bees in the intelligent beehive, whether the behavior of feeding antibiotics is adulterated in the production process can be judged; according to the production area where the intelligent beehive is located, whether the production area is adulterated or not can be judged.

In the present disclosure, the adulteration of honey in the intelligent beehive may be determined based on one or more of a quantity change, a weight change, and a production area.

The present disclosure may also make judgments regarding other adulteration activities. For example, frequent uncovering by beekeepers easily interferes with the quiet life habits of bee colonies, and the operation violation phenomenon is probably caused. Therefore, the uncovering phenomenon can be monitored to prevent adulteration caused by illegal operation. Wherein, the uncapping phenomenon can be monitored in various ways. For example, a motion sensor may be provided on the lid of a smart beehive to detect uncapping behavior.

After the judging device 220 obtains the maturity and/or adulteration of the honey in the intelligent beehive based on the above manner, 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 the adulteration to the block chain may refer to the existing block chain technology, and will not be described herein again.

The sending device 240 may send a prompt and/or alert message to the user. Where the user may refer to, but is not limited to, a business owner, a cooperator bee field manager, or a purchasing person, the management platform 200 may send a prompt and/or alert message to the electronic device used by the user to notify the user. The prompt message may be information for representing the maturity of honey in the beehive, for example, the management platform 200 may send the intelligent beehive with the maturity greater than a predetermined threshold and the maturity information thereof to the user, so that the user goes to a beekeeper in time to purchase honey. The early warning information may be information for representing the adulteration condition, or may be other various information that needs attention of the user, such as but not limited to operation information of a beekeeper, for example, when the beekeeper moves the position of the beekeeper to change the honey source place of the beekeeper, the information that the honey source place changes may be notified to the user as the early warning information.

[ prediction of Honey yield ]

The management platform can also be used for estimating the honey yield of the intelligent beehive, judging the market supply and demand conditions based on the estimation results of the honey yields of the intelligent beehives, and providing the information for reflecting the market supply and demand conditions to the beekeeper.

Fig. 4 shows a schematic block diagram of the structure of a management platform according to another embodiment of the present disclosure. Referring to fig. 4, in the present embodiment, the management platform 200 may include an obtaining device 210, a yield estimation device 250, a supply and demand determination device 260, and a providing device 270.

The acquiring device 210 is used for acquiring data collected by the intelligent beehive 100. The data mentioned herein may be data that can be used for determining the honey production situation of the intelligent beehive 100, for example, the data collected by the data collection device 110 in the intelligent beehive 100 mentioned above can be used for determining the maturity and/or adulteration of honey, that is, may include, but is not limited to, one or more of the first data, the second data, the third data, the fourth data, and the fifth data mentioned above.

The yield estimation device 250 is used for estimating the honey yield of the intelligent beehive based on the data.

As described above, based on the data collected by the intelligent beehive, the maturity and/or adulteration of honey in the intelligent beehive can be judged. Therefore, the yield estimation device 250 can estimate the honey yield of the intelligent beehive by combining the raw data and the maturity and/or adulteration of the honey in the intelligent beehive obtained by judgment. For example, the yield estimation device 250 can estimate the honey yield in the intelligent beehive based on the weight change information of the intelligent beehive and the maturity and/or adulteration of honey in the intelligent beehive.

For example, the maturity and adulteration of honey in the intelligent beehive can be obtained through the judgment on the maturity of honey and the judgment on adulteration of honey mentioned above. For a smart hive that is highly likely to be adulterated or is deemed to be adulterated, the yield estimation device 250 may directly mark the honey yield of the smart hive as 0. For the intelligent beehive without adulteration, the honey yield under the current maturity can be determined according to the weight change information of the intelligent beehive and the maturity of honey in the beehive, and the yield can be estimated to obtain the honey yield after the honey is matured in the future (namely, the mature honey yield).

The supply and demand judgment device 260 may judge the market supply and demand conditions based on the estimated results of the honey yields of the plurality of intelligent beehives.

As an example, the supply and demand judgment device 260 may make a judgment based on honey yields of different ripeness levels currently and in the future, and anticipated consumption needs or consumption needs collected through a platform to obtain information of supply and demand relationship, yield gap, and the like.

The providing device 270 is used for providing the information reflecting the market supply and demand situation to the beekeeper.

Electronic device

Fig. 5 shows a schematic block diagram of the structure of an electronic device according to one embodiment of the present disclosure. Referring to fig. 5, the electronic device 300 includes an acquisition device 310 and an upload device 320. The electronic device 300 may be, but is not limited to, a device used by a user, such as an enterprise owner, a cooperative bee field manager, or a purchasing person. Alternatively, the electronic device 300 may also be a device used by a beekeeper.

The electronic device 300 is exemplified as a device used by a user such as a business owner, a cooperative community manager, or a purchasing person.

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

The user can determine whether to go to a beekeeper to purchase honey according to the acquired maturity data. For example, in the case of a high degree of maturity of honey in the smart beehive, the user may go to a beekeeper to purchase honey. After the user arrives at a beekeeper, the maturity of the honey in the beehive can be evaluated, and the user can purchase the honey if considering the honey to be mature, and can postpone the purchase if considering the honey to be low in maturity. And the user's evaluation information on maturity can be added to the blockchain by the uploading means 320.

The user also can judge whether the risk exists in the honey production process according to the obtained adulteration condition, if the risk is large, the user does not purchase the honey, if the risk is low or no risk exists, the honey can be directly purchased, and if the risk is between the risk and the risk, whether the honey is purchased can be determined after the risk is detected in the field. And user rating information for adulteration can be added to the blockchain by the uploading means 320.

The obtaining device 310 may also obtain other types of pre-warning information from the management platform 200. The early warning information mentioned here can be, but is not limited to, operation information of a beekeeper for the intelligent beehive, such as early warning information that a honey source of the intelligent beehive changes.

In the case where the electronic device 300 is a device used by a beekeeper, information reflecting market supply and demand can also be acquired from the management platform through the acquisition means 310. Therefore, the beekeepers can timely master the market supply and demand conditions, so that the beekeeping strategy can be adjusted according to the supply and demand conditions, or the honey price can be set. Therefore, the benefits of beekeepers can be protected, and the bee-keeping efficiency is improved.

Application example

Referring to fig. 6, the data collected by the intelligent beehive may be uploaded to a management platform, and the data may be automatically uploaded to a block chain traceability system.

The management platform can judge the maturity of honey in the intelligent beehive based on the data that intelligent beehive was gathered to reach the block chain system of traceing back on the maturity data is automatic. And the management platform can also push the maturity to managers or purchasing personnel.

In the constitution that managers or purchasing personnel go to bee growers to purchase honey, whether purchase this bee grower's honey can be decided according to the maturity of honey in the beehive. And managers or purchasing personnel can also output the evaluation result of the bee maturity degree through electronic equipment, and the result is automatically uploaded to the block chain tracing system.

In this embodiment, the blockchain trace back system refers to a data management system based on a blockchain, and can add data to a specific block in the blockchain by using the blockchain trace back system and provide a data query and trace back interface. For the specific implementation of the blockchain trace back system, the detailed description of the disclosure is omitted.

This is disclosed tracees back as basic bottom through introducing the block chain, realizes that each link data such as the collection data of intelligence beehive, management platform's maturity data, the evaluation data of acquisition in-process are automatic to be cochain, discovers judgement honey maturity through checking mutually fast, realizes that ripe honey is gathered.

And the system is based on a block chain technology, is written back by multi-angle mutual trust, is effectively connected with a beehive, and can form a set of evaluation system aiming at the honesty degree of beekeepers by beekeepers, bee-keeping cooperative community managers and purchasing enterprise managers, and the honey is collected after being matured.

Referring to fig. 7, the data collected by the intelligent beehive may be uploaded to a management platform, and the data may be automatically uploaded to a block chain traceability system.

The management platform can judge the adulteration condition of honey in the intelligent beehive based on the data collected by the intelligent beehive, and automatically upload the adulteration condition to the block chain tracing system. And the management platform can also push the adulteration situation to managers or purchasing personnel.

And the manager or the purchasing personnel can judge whether the risk exists in the production process and the risk size according to the adulteration condition. In case of high risk, the purchase is not needed; the purchase can be carried out under the condition of less risk; under the condition of moderate risk, whether the bee grower purchases can be determined after detection, for example, under the condition that the management platform detects that the bee grower frequently opens the intelligent beehive, or a bee colony is in an unhealthy state, and illegal behaviors such as adulteration and the like possibly exist, whether the bee grower purchases the honey can be determined according to a detection result after field detection.

And the manager or the purchasing personnel can also output evaluation data of the adulteration condition through the electronic equipment, and the evaluation data is automatically uploaded to the block chain tracing system. The management personnel or the purchasing personnel can also output the evaluation result of the behavior of the beekeeper through the electronic equipment, and the result is automatically uploaded to the block chain tracing system.

In this embodiment, the management platform can judge the adulteration action in the beekeeper production based on the data that intelligent beehive was gathered, can effectively discern different bee species, different bee colony quantity, and the production in different production areas is fed sugar and is adulterated, and the place of production is adulterated, and antibiotic is fed in violation of rules and regulations, and adulteration actions such as during honey collection after the production effectively prevent adulteration in the honeybee production process. And by combining the anti-adulteration and block chain technologies, automatic chaining of data acquisition, adulteration and evaluation information can be realized, multi-role supervision and multi-angle verification of honey production are ensured, and a honey production anti-adulteration solution is formed.

The present disclosure may also be embodied as an auxiliary method of harvesting honey, comprising: acquiring data collected by an intelligent beehive and used for judging the maturity and/or adulteration of honey in the intelligent beehive; based on the data, maturity and/or adulteration are determined. The specific content, the maturity and the adulteration of the data can be determined according to the above description, and the details are not repeated herein. After the maturity and/or the adulteration are obtained, the maturity and/or the adulteration can be added to the block chain, and the specific implementation process of adding the maturity and/or the adulteration to the block chain can be referred to the existing block chain technology, which is not described herein again.

The present disclosure may also be embodied as an auxiliary method of harvesting honey, comprising: collecting data which can be used for judging the maturity and/or adulteration of the honey in the intelligent beehive; and sending the data to a management platform. The implementation manner of the data acquisition may refer to the above related description, and is not described herein again. Optionally, the collected data may also be added to the block chain, and a specific implementation process of adding the data to the block chain may refer to an existing block chain technology, which is not described herein again.

The present disclosure may also be embodied as an auxiliary method of harvesting honey, comprising: acquiring prompt information for representing the maturity of the intelligent beehive and/or early warning information for representing the adulteration condition of the honey from a management platform; and adding evaluation information of the user for the maturity and/or the adulteration condition to the block chain. The specific implementation process of adding the evaluation information to the block chain may refer to the existing block chain technology, and is not described herein again.

The present disclosure may also be embodied as an auxiliary method of harvesting honey, comprising: acquiring data acquired by an intelligent beehive; estimating the honey yield of the intelligent beehive based on the data; and judging the market supply and demand conditions based on the estimated results of the honey yields of the intelligent beehives, and providing the information for reflecting the market supply and demand conditions to the beekeeper.

Fig. 8 shows a schematic structural diagram of a computing device that can be used to implement the above-described honey harvesting assistance method according to an embodiment of the present disclosure.

Referring to fig. 8, the computing device 1000 includes a memory 1010 and a processor 1020.

The processor 1020 may be a multi-core processor or may include multiple processors. In some embodiments, processor 1020 may include a general-purpose host processor and one or more special purpose coprocessors such as a Graphics Processor (GPU), Digital Signal Processor (DSP), or the like. In some embodiments, processor 1020 may be implemented using custom circuits, such as an Application Specific Integrated Circuit (ASIC) or a Field Programmable Gate Array (FPGA).

The memory 1010 may include various types of storage units, such as system memory, Read Only Memory (ROM), and permanent storage. Wherein the ROM may store static data or instructions that are needed by the processor 1020 or other modules of the computer. The persistent storage device may be a read-write storage device. The persistent storage may be a non-volatile storage device that does not lose stored instructions and data even after the computer is powered off. In some embodiments, the persistent storage device employs a mass storage device (e.g., magnetic or optical disk, flash memory) as the persistent storage device. In other embodiments, the permanent storage may be a removable storage device (e.g., floppy disk, optical drive). The system memory may be a read-write memory device or a volatile read-write memory device, such as a dynamic random access memory. The system memory may store instructions and data that some or all of the processors require at runtime. Further, 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), magnetic and/or optical disks, among others. In some embodiments, memory 1010 may include a removable storage device that is readable and/or writable, such as a Compact Disc (CD), a read-only digital versatile disc (e.g., DVD-ROM, dual layer DVD-ROM), a read-only Blu-ray disc, an ultra-density optical disc, a flash memory card (e.g., SD card, min SD card, Micro-SD card, etc.), a magnetic floppy disc, or the like. Computer-readable storage media do not contain carrier waves or transitory electronic signals transmitted by wireless or wired means.

The memory 1010 has stored thereon executable code that, when processed by the processor 1020, causes the processor 1020 to perform the above-described method of harvesting honey.

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

Those of skill would 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 combinations of both.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems and methods according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

Having described embodiments of the present invention, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the embodiments disclosed. 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 terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A management system of intelligent beehives, comprising: an intelligent beehive, a management platform and an electronic device,

the intelligent beehive uploads the collected data to a data management system, the data can be used for judging the maturity and/or adulteration of honey in the intelligent beehive,

the management platform acquires the data, judges the maturity and/or adulteration of the honey in the intelligent beehive based on the data, uploads the maturity and/or adulteration to the data management system,

and the electronic equipment acquires evaluation information of the user aiming at the maturity and/or the adulteration condition and uploads the evaluation information to the data management system.

2. The management system according to claim 1,

the data management system is configured to add the received data to a blockchain based on blockchain techniques.

3. The management system according to claim 1,

the management platform obtains the data from the intelligent beehive or the management platform obtains the data from the data management system,

the electronic equipment acquires the maturity and/or the adulteration condition from the management platform, or the electronic equipment acquires the maturity and/or the adulteration condition from the data management system.

4. The management system of claim 1, wherein the data comprises at least one of:

first data for characterizing a rainfall condition in the smart hive;

second data for characterizing lighting conditions in the vicinity of the smart beehive;

third data representing quantity information of bees entering and exiting the intelligent beehive;

fourth data for characterizing weight information of the smart hive;

fifth data for characterizing location information of the smart beehive.

5. The management system according to claim 4,

the management platform determines the rainfall duration in the intelligent beehive based on the first data, and/or

The management platform adjusts the rainfall duration based on the second data, and/or

The management platform determines the number of bees entering or exiting the intelligent beehive based on the third data, and/or

The management platform determines the weight change condition of the intelligent beehive based on the fourth data and/or

The management platform determines the production area where the intelligent beehive is located based on the fifth data,

the management platform judges the maturity of the honey in the intelligent beehive based on one or more of the rainfall duration, the quantity change condition and the weight change condition, and/or the management platform judges the adulteration of the honey in the intelligent beehive based on one or more of the quantity change condition, the weight change condition and the production area.

6. The management system according to claim 1,

and the management platform also generates evaluation information aiming at the beekeeper corresponding to the intelligent beehive according to the maturity and/or the adulteration condition and the evaluation information.

7. The management system according to claim 6,

and the management platform also sends evaluation information aiming at the beekeepers together with the maturity and/or the adulteration condition to the electronic equipment.

8. The management system according to claim 1,

the management platform is further used for estimating the honey yield of the intelligent beehive, and/or,

the management platform also judges the market supply and demand conditions based on the estimated results of the honey yields of the intelligent beehives, and provides the information for reflecting the market supply and demand conditions to the beekeeper.

9. A management system of intelligent beehives, comprising: an intelligent beehive and a management platform,

the intelligent beehive sends the collected data to the management platform, the data can be used for judging the maturity and/or adulteration of the honey in the intelligent beehive,

and the management platform judges the maturity and/or adulteration of the honey in the intelligent beehive based on the data.

10. A management system of intelligent beehives, comprising: an intelligent beehive and a management platform,

the intelligent beehive sends the collected data to the management platform,

the management platform estimates the honey yield of the intelligent beehive based on the data, judges the market supply and demand conditions based on the estimation results of the honey yield of the intelligent beehives, and provides the information for reflecting the market supply and demand conditions to the beekeeper.

11. The utility model provides a management platform of intelligence beehive which characterized in that includes:

the device comprises an acquisition device, a judgment device and a judgment device, wherein the acquisition device is used for acquiring data which are acquired by an intelligent beehive and can be used for judging the maturity and/or adulteration of honey in the intelligent beehive; and

and the judging device is used for judging the maturity and/or the adulteration condition based on the data.

12. The management platform of claim 11, further comprising:

and the uploading device is used for uploading the maturity and/or the adulteration condition to a data management system.

13. The management platform of claim 12, wherein the data management system is configured to add the received data to a blockchain based on a blockchain technique.

14. The management platform of claim 11, wherein the data comprises at least one of:

first data for characterizing a rainfall condition in the smart hive;

fourth data for characterizing weight information of the smart hive;

fifth data for characterizing location information of the smart beehive.

15. The management platform of claim 14,

the judging device determines the rainfall duration in the intelligent beehive based on the first data and/or

The determination device adjusts the rainfall duration based on the second data, and/or

The judging device determines the number change of bees entering or exiting the intelligent beehive based on the third data, and/or

The judging device determines the weight change condition of the intelligent beehive based on the fourth data and/or

The judging device determines the producing area where the intelligent beehive is located based on the fifth data,

the judging device judges the maturity of the honey in the intelligent beehive based on one or more of the rainfall duration, the quantity change situation and the weight change situation, and/or the judging device judges the adulteration of the honey in the intelligent beehive based on one or more of the quantity change situation, the weight change situation and the production area.

16. The management platform of claim 11, further comprising:

and the sending device is used for sending prompt information used for representing the maturity and/or early warning information used for representing the adulteration situation to the user.

17. The management platform of claim 11, further comprising:

the yield pre-estimation device is used for pre-estimating the honey yield of the intelligent beehive;

the supply and demand judgment device is used for judging market supply and demand conditions based on the estimated results of the honey yield of the intelligent beehives; and

and the providing device is used for providing the information reflecting the market supply and demand conditions to the beekeeper.

18. The utility model provides a management platform of intelligence beehive which characterized in that includes:

the acquisition device is used for acquiring data acquired by the intelligent beehive;

the yield pre-estimation device is used for pre-estimating the honey yield of the intelligent beehive based on the data;

19. An intelligent beehive, comprising:

the data acquisition device is used for acquiring data which can be used for judging the maturity and/or adulteration of the honey in the intelligent beehive; and

and the sending device is used for sending the data to the management platform.

20. The intelligent beehive of claim 19,

the sending device is also used for uploading the data to a data management system.

21. The intelligent beehive of claim 20,

22. The intelligent beehive of claim 19, wherein the data acquisition device comprises at least one of:

the rainfall monitoring device is used for monitoring the rainfall condition in the intelligent beehive;

the illumination monitoring device is used for monitoring the illumination condition near the intelligent beehive;

the counting sensor is used for detecting the quantity information of the bees entering and exiting the intelligent beehive;

the weighing sensor is used for detecting weight information of the intelligent beehive;

and the positioning sensor is used for determining the position information of the intelligent beehive.

23. An electronic device, comprising:

the acquisition device is used for acquiring prompt information for representing the maturity of the honey in the intelligent beehive and/or early warning information for representing the adulteration condition of the honey from the management platform; and

and the uploading device is used for uploading the evaluation information of the user aiming at the maturity and/or the adulteration condition to the data management system.

24. The electronic device of claim 23,

the acquisition device is also used for acquiring evaluation information of the beekeeper corresponding to the intelligent beehive from the management platform.

25. An auxiliary method for harvesting honey, comprising:

acquiring data which is acquired by an intelligent beehive and can be used for judging the maturity and/or adulteration of honey in the intelligent beehive; and

and judging the maturity and/or adulteration condition based on the data.

26. An auxiliary method for harvesting honey, comprising:

collecting data which can be used for judging the maturity and/or adulteration of the honey in the intelligent beehive; and

and sending the data to a management platform.

27. An auxiliary method for harvesting honey, comprising:

acquiring prompt information for representing the maturity of the intelligent beehive and/or early warning information for representing the adulteration condition of the honey from a management platform; and

and uploading the evaluation information of the user aiming at the maturity and/or the adulteration condition to a data management system.

28. An auxiliary method for harvesting honey, comprising:

acquiring data acquired by an intelligent beehive;

predicting the honey yield of the intelligent beehive based on the data; and

and judging the market supply and demand conditions based on the estimated results of the honey yield of the intelligent beehives, and providing the information for reflecting the market supply and demand conditions to the beekeeper.

29. A computing device, comprising:

a processor; and

a memory having executable code stored thereon which, when executed by the processor, causes the processor to perform the method of any of claims 25 to 28.

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