CN112462830A - Silkworm breeding automatic management system based on edge calculation and intelligent recommendation - Google Patents
Silkworm breeding automatic management system based on edge calculation and intelligent recommendation Download PDFInfo
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Abstract
The invention discloses a mulberry silkworm breeding automatic management system based on edge calculation and intelligent recommendation, which comprises a terminal equipment layer and an edge calculation layer, wherein the terminal equipment layer is connected with the edge calculation layer; the terminal equipment layer comprises a sensing sublayer and an execution sublayer; the edge calculation layer comprises an operation sublayer and a control sublayer; the sensor layer is used for acquiring temperature and humidity data of the silkworm rearing room and the mulberry field soil and sending the acquired temperature and humidity data to the edge calculation layer; the operation sublayer is used for performing protocol conversion on the temperature and humidity data sent by the sensing sublayer; the control sublayer is used for receiving the temperature and humidity data after protocol conversion, judging whether the received temperature and humidity data are in a preset range, and if not, sending a control instruction to the execution sublayer; the execution sublayer is used for executing the control command sent by the control sublayer.
Description
Technical Field
The invention relates to the technical field of silkworm breeding, in particular to an automatic management system for silkworm breeding based on edge calculation and intelligent recommendation.
Background
China is the biggest silk production country in the world. However, on the background that the industry turns to industrialization and scale, the traditional high-cost supervision and management mode of the current silkworm industry has increasingly prominent disadvantages. Meanwhile, due to a plurality of factors such as impact and extrusion caused by the fluctuation and descending of cocoon prices and the rapid development of efficient planting and breeding of fruits, flowers and the like, the mulberry industry gradually declines, regional economy is seriously damaged, and the problems of labor aging, backward equipment technology, silkworm breeding environment deterioration, reduction of mulberry field area and the like are faced, so that the current situations of high production cost, low management and operation efficiency and the like of mulberry leaves and silkworm seeds are caused. The reasons for this are mainly as follows.
Firstly, the overall coordination between mulberry field planting and silkworm house breeding lags in the silkworm breeding process. The breeding of mulberry is the basic link of silkworm breeding, and the breeding of mulberry and silkworm breeding are usually carried out simultaneously. According to the production plan, after the breeding stages and conditions of the silkworm eggs in the silkworm rearing room are counted, the workers uniformly allocate the planting, irrigation, pesticide spraying and picking of the mulberry field. However, careless omission easily occurs by simply relying on manual management, and due to the real-time change of the states of the silkworm house and the mulberry field, timely feedback is difficult to achieve through statistical analysis, so that overall coordination and management efficiency of mulberry field planting and silkworm house breeding are not high, production benefits are low, and the operation efficiency of enterprises is greatly influenced.
Secondly, the environment of the silkworm rearing room is not monitored in place. The temperature and humidity conditions of the silkworm room and the silkworm room are important factors for determining whether silkworm eggs can grow according to production specifications and determining the quality of finished silkworm cocoon products of silkworm egg breeding results. Different silkworm species have different environmental requirements in different breeding stages, and the breeding process has extremely high requirements on temperature and humidity. Under traditional production mode, in order to control silkworm room temperature strictly, the staff need spend the detection and the control of a large amount of time carrying out the humiture every day, has greatly increased the human cost. Meanwhile, manual monitoring is difficult to timely troubleshoot errors and cannot timely confirm the silkworm rearing room with imbalance environment, and huge economic loss is caused to normal production.
With the development of the internet of things and the internet plus technology in recent years, traditional agriculture gradually changes to modern agriculture characterized by intelligent agriculture. In the silkworm industry, the application of the internet of things technology and the intelligent technology mainly focuses on temperature and humidity detection (application number 2016201294859), abnormal alarm (application number 2016107510748), intelligent transmission control (application number 2018116209532), automatic leaf feeding equipment (application number 2019202622996) and the like, and the main limitations are as follows: an intelligent technical solution for adapting to a large-scale silkworm breeding environment in the whole life cycle of silkworm breeding needs to be perfected; the temperature and humidity of the silkworm rearing room are set according to manual experience, and intelligent recommendation is not carried out based on the growth data of the silkworm and expert knowledge.
Disclosure of Invention
The invention aims to provide an automatic management system for silkworm breeding based on edge calculation and intelligent recommendation, aiming at the defects of the prior art.
In order to achieve the purpose, the invention adopts the following technical scheme:
a silkworm breeding automatic management system based on edge computing and intelligent recommendation comprises a terminal equipment layer and an edge computing layer, wherein the terminal equipment layer is connected with the edge computing layer; the terminal equipment layer comprises a sensing sublayer and an execution sublayer; the edge calculation layer comprises an operation sublayer and a control sublayer;
the sensor layer is used for acquiring temperature and humidity data of the silkworm rearing room and the mulberry field soil and sending the acquired temperature and humidity data to the edge calculation layer;
the operation sublayer is used for performing protocol conversion on the temperature and humidity data sent by the sensing sublayer;
the control sublayer is used for receiving the temperature and humidity data after protocol conversion, judging whether the received temperature and humidity data are in a preset range, and if not, sending a control instruction to the execution sublayer;
the execution sublayer is used for executing the control command sent by the control sublayer.
Further, the sensing sublayer comprises a silkworm house sensing sublayer and a mulberry field sensing sublayer; the executive sublayer comprises a silkworm room executive sublayer and a mulberry field executive sublayer;
the silkworm room sensing layer is used for acquiring temperature and humidity data of the silkworm room;
the mulberry field sensing sublayer is used for acquiring humidity data of mulberry field soil;
the silkworm room execution sublayer is used for executing a silkworm room temperature and humidity control command;
and the mulberry field execution sublayer is used for executing the mulberry field soil humidity control command.
Further, the control sublayer comprises industrial all-in-one machine equipment, be connected with touch screen display ware on the industrial all-in-one machine equipment, touch screen display ware is used for realizing temperature and humidity control's visualization.
Further, the control sublayer is further configured to perform an alarm response when the received temperature and humidity data is not within a preset range.
Furthermore, an operation sublayer in the edge calculation layer is connected with a control sublayer through an RS485 bus; the edge calculation layer is connected with the silkworm room execution sublayer and the silkworm room sensing sublayer in the terminal equipment layer through RS485 buses.
Furthermore, the edge calculation layer is wirelessly connected with a mulberry field sensing sublayer and a mulberry field execution sublayer in the terminal equipment layer.
Further, the cloud fusion analysis layer is connected with the edge computing layer and used for storing data information in the edge computing layer.
Furthermore, the sensing sub-layer of the silkworm rearing room adopts waterproof metal temperature and humidity sensors, and 4-10 temperature and humidity sensors are arranged in each silkworm rearing room.
Furthermore, the industrial all-in-one machine is integrated through a manual control box, the manual control box is provided with an observation window, and the observation window is used for observing data displayed on the industrial all-in-one machine.
Compared with the prior art, the automatic management system for silkworm breeding based on edge calculation and intelligent recommendation solves the limitation that the current intelligent silkworm house can only regulate temperature, can monitor and manage the whole silkworm breeding park, carry out scientific and technical management and temperature and humidity regulation and control aiming at the agricultural Internet of things system for intelligent monitoring of the silkworm house and automatic irrigation of the silkworm park, and simultaneously set up an expert knowledge base query table for intelligent recommendation to ensure the stability of the environment of the silkworm house, improve the compatibility of mulberry leaf planting and silkworm breeding and improve the success rate and product quality of silkworm cocoon breeding, thereby improving the technical level of the silkworm breeding industry, achieving the purposes of accurate, standardized and large-scale silkworm breeding, reducing the labor cost, reducing the production risk and creating the maximum economic benefit for the silkworm breeding industry to the greatest extent, and realizing the intellectualization of the silkworm breeding industry, Modernized transformation and upgrading. The invention has good economic benefit and social benefit after being popularized.
Drawings
FIG. 1 is a block diagram of an automated management system for silkworm breeding based on edge computing and intelligent recommendation according to an embodiment;
FIG. 2 is a schematic diagram of an intelligent temperature and humidity recommendation method based on an expert knowledge base according to an embodiment II
FIG. 3 is the overall architecture diagram of the intelligent monitoring system for silkworm rearing room and the automatic irrigation system for mulberry field provided by the third embodiment
FIG. 4 is a schematic view of the design scheme of the intelligent monitoring system for silkworm rearing room provided by the third embodiment
Fig. 5 is a schematic diagram of the design scheme of the mulberry field automatic irrigation system provided by the third embodiment.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
The invention aims to provide an automatic management system for silkworm breeding based on edge calculation and intelligent recommendation, aiming at the defects of the prior art.
Example one
The embodiment provides a silkworm breeding automatic management system based on edge computing and intelligent recommendation, as shown in fig. 1, the system comprises a terminal device layer and an edge computing layer, wherein the terminal device layer is connected with the edge computing layer.
In the terminal equipment layer, the terminal equipment layer comprises a sensing sublayer and an execution sublayer;
the sensor layer is used for acquiring temperature and humidity data of the silkworm rearing room and the mulberry field soil and sending the acquired temperature and humidity data to the edge calculation layer;
and the execution sublayer is used for executing the control command sent by the control sublayer.
In this embodiment, the sensing sublayer includes a silkworm house sensing sublayer and a mulberry field sensing sublayer; the executive sublayer comprises a silkworm room executive sublayer and a mulberry field executive sublayer;
the silkworm house sensing layer is used for acquiring temperature and humidity data of the silkworm house;
the mulberry field sensor layer is used for acquiring humidity data of mulberry field soil;
the silkworm room execution sublayer is used for executing the silkworm room temperature and humidity control command;
and the mulberry field execution sublayer is used for executing the mulberry field soil humidity control command.
The silkworm rearing room sensor layer adopts waterproof metal temperature and humidity sensors, 4-10 temperature and humidity sensors are arranged in each silkworm rearing room, and the temperature and humidity sensors are uniformly distributed in the silkworm rearing rooms; the silkworm room execution sub-layer module comprises an air heater, an air conditioner, a humidifier and a wet curtain fan isothermal humidity control device; the mulberry field sensor sub-layer modules all adopt independent sensors; the mulberry field execution sub-layer module comprises irrigation equipment such as an irrigation valve and an irrigation motor.
In the edge calculation layer, the edge calculation layer comprises an operation sublayer and a control sublayer;
the operation sub-layer is composed of an embedded protocol conversion subsystem, and the control sub-layer is composed of industrial all-in-one machine equipment. The edge computing layer mainly utilizes an edge computing and storing technology to carry out distributed inference decision.
An embedded protocol conversion subsystem in the operation sublayer realizes the conversion between the Internet of things protocol and the terminal equipment layer protocol; and controlling the industrial all-in-one machine equipment in the sublayer to execute data preprocessing work, and simultaneously carrying out alarm response at the first time. The method specifically comprises the following steps:
the operation sublayer is used for carrying out protocol conversion on the temperature and humidity data sent by the sensing sublayer;
and the control sublayer is used for receiving the temperature and humidity data after the protocol conversion, judging whether the received temperature and humidity data are in a preset range, and if not, sending a control instruction to the execution sublayer.
When the edge calculation layer receives temperature and humidity data sent by the terminal equipment layer, the received temperature and humidity data are processed through the industrial all-in-one machine equipment of the edge calculation layer, whether the temperature and humidity are within a certain preset temperature and humidity numerical range or not is judged, and if yes, no processing is carried out; if not, sending a control instruction through the industrial all-in-one machine, for example, controlling an air conditioner in a terminal equipment layer to cool or controlling a humidifier to perform humidification treatment.
The industrial all-in-one machine equipment is connected with a touch screen display, and the touch screen display is provided with a parameter setting key for realizing visualization of temperature and humidity control. The industrial all-in-one machine equipment can be used for calibrating and analyzing data acquired by the sensing layer of the silkworm room in the terminal equipment layer, and meanwhile, the current sensor information, namely temperature and humidity data, in each silkworm room is displayed on the terminal interface in real time.
The industrial all-in-one machine is integrated through a manual control box, and the manual control box is made of waterproof industrial design and stainless steel materials. The manual control box can be provided with an observation window for observing screen data displayed on the silkworm house terminal of the industrial all-in-one machine.
And after the edge calculation layer is subjected to information processing such as protocol analysis conversion, proofreading analysis and the like, the terminal equipment layer is controlled through the control board card. The connection among the sub-layers of the edge calculation layer, the connection between the sub-layer of the edge calculation layer and the silkworm house execution sub-layer in the terminal equipment layer, the connection between the sub-layer of the edge calculation layer and the silkworm house sensing sub-layer in the terminal equipment layer are completed by an industrial RS485 bus, and the connection between the edge calculation layer and the mulberry field sensing sub-layer and the connection between the edge calculation layer and the mulberry field execution sub-layer adopt a wireless mode.
In this embodiment, the system further includes a cloud fusion analysis layer connected to the edge computing layer and configured to store data generated by the edge computing layer.
The cloud fusion analysis layer can also perform model training according to the stored historical data, analyze and count the data, and realize intelligent recommendation of an optimal algorithm through the trained model.
In this embodiment, still include intelligent application layer, it mainly includes upper application demands such as silkworm room constant temperature and humidity control, humiture parameter setting intelligence recommendation, remote monitoring, data visualization, early warning setting and authority management. The remote monitoring can be realized by installing a large display screen at the entrance passage of the silkworm house to display monitoring video, and the monitoring cameras in the silkworm house also realize network intercommunication through the switch. The monitoring module comprises a monitoring camera and signal connection equipment, and the camera signal is connected into the industrial personal computer and sent to the remote server.
In this embodiment, the sensor sublayer in the terminal device layer is used for collecting the required real-time data of the silkworm rearing room and the mulberry field, and the sensor sublayer sends data information to the edge calculation layer through the control board card, performs meta-protocol analysis and communication with the industrial all-in-one machine device, and relies on the execution sublayer in the terminal device layer to complete temperature and humidity control. The silkworm room can be uniformly provided with a plurality of temperature and humidity detection points according to actual needs. Wherein, the silkworm room finishes heating, cooling and humidifying through an air heater, an air conditioner, a humidifier and a wet curtain fan, realizes temperature and humidity control, and starts an alarm device when the detected current temperature and humidity are higher than or lower than a set value.
In this embodiment, in order to improve the temperature and humidity control accuracy and precision of the silkworm rearing room, the silkworm rearing room can be divided into a plurality of areas, and each sub-area is independently controlled. In consideration of connectivity, the temperature and humidity setting of the adjacent sub-regions cannot be too large on the basis that each sub-region can be independently controlled, and the temperature and humidity control accuracy is relatively low at the adjacent positions of the adjacent sub-regions. The mulberry field can be divided into a plurality of different regions according to actual need, and one set of irrigation system controller of every regional installation detects the humidity of soil through independent sensor, and when soil humidity was less than user's set value, irrigation system controller opened irrigation motor through control ac contactor. The soil humidity threshold value is a universal value set during installation, and can also be set through terminal control software. The mulberry field control module comprises two modes for setting the single irrigation time. The first mode is fixed time, namely irrigation is carried out according to a set value and a fixed time frequency; the second mode is automatic irrigation, which is realized by detecting soil humidity and comparing with a set value. The temperature and humidity control of the silkworm rearing room and the soil humidity control mode of the mulberry field are controlled by adopting a switch value. The control inquiry terminal is a remote computer and can be installed in different places according to actual needs, and a worker can set control quantity remotely through the terminal and arrange to work every day.
Example two
The silkworm breeding automatic management system based on edge calculation and intelligent recommendation provided by the embodiment is different from the first embodiment in that:
the embodiment also comprises intelligent recommendation of the temperature and the humidity based on the expert knowledge base.
Firstly, acquiring experience knowledge of silkworm breeding from old silkworm farmers, carrying out mathematical modeling according to the experience, and analyzing the relationship between temperature and silkworm seed survival rate, humidity and growth cycle to form a numerical system. Secondly, establishing a temperature and humidity information and silkworm breeding growth state database according to a mathematical model, forming an inference mechanism for silkworm breeding experience data, designing and realizing a ghost rule between the temperature and the humidity of a silkworm house and the growth condition of the silkworm, and mapping the ghost rule with the temperature and humidity information stored in the database. And constructing a complete temperature and humidity recommendation knowledge base and a database by using the intermediate result of the dynamic database storage system inference, wherein the recommendation period during intelligent recommendation can be single-day recommendation or multi-day recommendation. And finally, displaying the recommendation result through a touch screen display interface of the industrial all-in-one machine.
The temperature and humidity intelligent recommendation method based on the expert knowledge base is shown in the attached figure 2.
In the embodiment, the control quantity is set by the expert knowledge base query table, and the temperature and humidity setting of the silkworm rearing room can be intelligently recommended to workers according to the cultivation experience or the soil humidity can be intelligently recommended according to the planting experience.
EXAMPLE III
The silkworm breeding automatic management system based on edge calculation and intelligent recommendation provided by the embodiment is different from the first embodiment in that:
this embodiment is specifically described by taking different states in the actual breeding process of silkworm eggs as examples.
The silkworm rearing room is divided into a small mode, a medium mode and a large mode. The overall architecture of the system used in this case is shown in fig. 3.
The house comprises 5 small silkworm houses, 1 middle silkworm house and 2 big silkworm houses. Wherein 4 temperature and humidity detection points are installed in each small silkworm room, heating is completed through an air heater, cooling is completed through an air conditioner, and humidifying is completed through a humidifier; each middle silkworm room is divided into three areas, each sub-area is independently controlled, 10 uniformly distributed temperature and humidity detection points are installed in the middle silkworm room in total, and cooling and humidification in the middle silkworm room are completed through a wet curtain fan and humidification is completed through a humidifier; each large silkworm house is not divided into areas, 6 uniformly distributed temperature and humidity detection points are installed in each large silkworm house, the large silkworm house is humidified by 9 wet curtain machines, and the large silkworm house is cooled by 9 high-power fans. The silkworm rearing room is internally provided with an alarm function, and when the target temperature set by a user is too low and the outdoor temperature is too high, the system can not reach the target temperature for a long time, the system automatically alarms. Wherein, the alarm mode adopts acousto-optic alarm.
The connection part of the silkworm rearing room and the switch and the connection part of the irrigation system and the switch both adopt optical fibers and adopt six types of network cables for data transmission. The acquisition of the data of the temperature and humidity sensor is completed by adopting an industrial 485 bus, and the signal lines adopt industrial-grade standard shielding lines. When the manual control is performed, 220V mains supply needs to be accessed, and the power supply power is 340W.
The design scheme of the intelligent monitoring system of the silkworm house is shown in the attached figure 4.
The control board card is used for acquiring data of the temperature and humidity sensor, controlling the humidifier and the air heater, analyzing a protocol and communicating with the industrial personal computer; the touch screen industrial personal computer adopts a 12.1-inch integrated industrial personal computer; silkworm room control layer module all places in manual control box, the manual control box adopts waterproof industrial design, stainless steel material preparation, sets up observation window simultaneously for observe the data on the industrial computer display screen. The remote recommendation function is provided during manual control operation, the expert knowledge base query table is stored at the server terminal according to different suitable temperatures and humidities at different stages of silkworm breeding, and the expert knowledge base query table can be consulted on the industrial personal computers of all silkworm houses. The silkworm room is connected with the switch in the silkworm room through the industrial personal computer in the manual control box, and the switch in the silkworm room is connected with the core switch of the machine room, so that interconnection and intercommunication of networks are realized.
The silkworm rearing rooms are controlled by adopting a mode of combining independent control and centralized control to realize independent temperature and humidity control, and the control mode is controlled by adopting switching value control. The temperature and humidity setting of the silkworm room can be set remotely and also can be set through local manual control. The priority of the local setting is higher than that of the remote setting, and when the network is not communicated, the local setting parameters are used as the standard.
The design scheme of the automatic irrigation system for the mulberry field is shown in the attached figure 5.
In the specific implementation case, the area of the mulberry field is about 100 mu, the mulberry field is divided into 20 areas, and each area is provided with a set of irrigation system controller and an independent sensor. Detect soil moisture through soil moisture sensor, when soil moisture is less than user's setting value, irrigation system controller system opens irrigation motor through control ac contactor, realizes that the mulberry field is irrigated automatically.
In a specific embodiment, the control and query terminal is a remote computer and is installed in a machine room place in a specific office building, and a worker remotely sets the temperature and humidity control quantity of each silkworm room and the soil humidity control quantity of each regional mulberry field through the terminal computer. Temperature and humidity data collected by all temperature and humidity sensors and an expert knowledge base query table are stored in the terminal server.
The automatic management system for silkworm breeding based on edge calculation and intelligent recommendation solves the limitation that the current intelligent silkworm house can only regulate the temperature, the invention aims at the agricultural Internet of things system for realizing intelligent monitoring of the silkworm house and automatic irrigation of a mulberry field and can monitor and manage the whole silkworm breeding field, carry out scientific and technical management and temperature and humidity regulation, meanwhile, an expert knowledge base query table is set for intelligent recommendation, the stability of the environment of the silkworm house is ensured, the compatibility of mulberry leaf planting and silkworm breeding is improved, the success rate of silkworm cocoon cultivation and the product quality are improved, therefore, the technical level of the mulberry silkworm breeding industry is improved, the precise, standardized and large-scale mulberry silkworm breeding is achieved, the labor cost of the mulberry silkworm breeding industry is reduced to the maximum extent, the production risk is reduced, the maximum economic benefit is created, and the intelligent and modern transformation and upgrading of the mulberry silkworm breeding industry are realized. The invention has good economic benefit and social benefit after being popularized.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (9)
1. A silkworm breeding automatic management system based on edge computing and intelligent recommendation is characterized by comprising a terminal equipment layer and an edge computing layer, wherein the terminal equipment layer is connected with the edge computing layer; the terminal equipment layer comprises a sensing sublayer and an execution sublayer; the edge calculation layer comprises an operation sublayer and a control sublayer;
the sensor layer is used for acquiring temperature and humidity data of the silkworm rearing room and the mulberry field soil and sending the acquired temperature and humidity data to the edge calculation layer;
the operation sublayer is used for performing protocol conversion on the temperature and humidity data sent by the sensing sublayer;
the control sublayer is used for receiving the temperature and humidity data after protocol conversion, judging whether the received temperature and humidity data are in a preset range, and if not, sending a control instruction to the execution sublayer;
the execution sublayer is used for executing the control command sent by the control sublayer.
2. The automatic management system for silkworm breeding based on edge computing and intelligent recommendation according to claim 1, wherein the sensing sub-layer comprises a silkworm house sensing sub-layer and a mulberry field sensing sub-layer; the executive sublayer comprises a silkworm room executive sublayer and a mulberry field executive sublayer;
the silkworm room sensing layer is used for acquiring temperature and humidity data of the silkworm room;
the mulberry field sensing sublayer is used for acquiring humidity data of mulberry field soil;
the silkworm room execution sublayer is used for executing a silkworm room temperature and humidity control command;
and the mulberry field execution sublayer is used for executing the mulberry field soil humidity control command.
3. The automatic management system for silkworm breeding based on edge calculation and intelligent recommendation as claimed in claim 2, wherein the control sublayer is composed of industrial all-in-one machine equipment, a touch screen display is connected to the industrial all-in-one machine equipment, and the touch screen display is used for realizing visualization of temperature and humidity control.
4. The automatic management system for silkworm breeding based on edge calculation and intelligent recommendation as claimed in claim 3, wherein the control sub-layer is further configured to perform an alarm response when the received temperature and humidity data is not within a preset range.
5. The automatic management system for silkworm breeding based on edge calculation and intelligent recommendation as claimed in claim 2, wherein the operation sublayer and the control sublayer in the edge calculation layer are connected through an RS485 bus; the edge calculation layer is connected with the silkworm room execution sublayer and the silkworm room sensing sublayer in the terminal equipment layer through RS485 buses.
6. The automatic management system for silkworm breeding based on edge computing and intelligent recommendation according to claim 2, wherein the edge computing layer is wirelessly connected with a mulberry field sensing sublayer and a mulberry field executing sublayer in the terminal equipment layer.
7. The automatic management system for silkworm breeding based on edge computing and intelligent recommendation according to claim 1, characterized by further comprising a cloud fusion analysis layer connected with the edge computing layer and used for storing data information in the edge computing layer.
8. The automatic management system for silkworm breeding based on edge calculation and intelligent recommendation according to claim 2, wherein the silkworm room sensor sub-layer adopts waterproof metal temperature and humidity sensors, and 4-10 temperature and humidity sensors are arranged in each silkworm room.
9. The automatic management system for silkworm breeding based on edge computing and intelligent recommendation as claimed in claim 3, wherein the industrial all-in-one machine is integrated through a manual control box, the manual control box is provided with a viewing window, and the viewing window is used for viewing data displayed on the industrial all-in-one machine.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN205049995U (en) * | 2015-10-15 | 2016-02-24 | 江苏省蚕种所 | Intelligence silkworm room monitored control system |
| CN106444933A (en) * | 2016-11-17 | 2017-02-22 | 广西大学 | Silkworm room intelligent monitoring system |
| CN207067785U (en) * | 2017-07-20 | 2018-03-02 | 安庆师范大学 | A kind of intelligent mulberry fish pond management system based on agriculture Internet of Things |
| CN108718890A (en) * | 2018-04-19 | 2018-11-02 | 铜仁市万山区光保农业有限公司 | A kind of grape breeding method based on big data analysis |
| CN109872244A (en) * | 2019-01-29 | 2019-06-11 | 汕头大学 | A kind of task instructs type wisdom agricultural planting expert system |
| CN110063304A (en) * | 2018-10-17 | 2019-07-30 | 成都岷江源药业股份有限公司 | A kind of is suitable for the environment control method of medicinal bombyx batryticatus production |
| KR20200031966A (en) * | 2018-09-17 | 2020-03-25 | 농업회사법인 주식회사 뽕을품은누에 | A traditional sericulture factory system using containers |
| CN111026205A (en) * | 2019-12-25 | 2020-04-17 | 四川省农业科学院蚕业研究所 | Smart young silkworm co-breeding system based on Internet of things technology |
-
2020
- 2020-11-24 CN CN202011334726.0A patent/CN112462830B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN205049995U (en) * | 2015-10-15 | 2016-02-24 | 江苏省蚕种所 | Intelligence silkworm room monitored control system |
| CN106444933A (en) * | 2016-11-17 | 2017-02-22 | 广西大学 | Silkworm room intelligent monitoring system |
| CN207067785U (en) * | 2017-07-20 | 2018-03-02 | 安庆师范大学 | A kind of intelligent mulberry fish pond management system based on agriculture Internet of Things |
| CN108718890A (en) * | 2018-04-19 | 2018-11-02 | 铜仁市万山区光保农业有限公司 | A kind of grape breeding method based on big data analysis |
| KR20200031966A (en) * | 2018-09-17 | 2020-03-25 | 농업회사법인 주식회사 뽕을품은누에 | A traditional sericulture factory system using containers |
| CN110063304A (en) * | 2018-10-17 | 2019-07-30 | 成都岷江源药业股份有限公司 | A kind of is suitable for the environment control method of medicinal bombyx batryticatus production |
| CN109872244A (en) * | 2019-01-29 | 2019-06-11 | 汕头大学 | A kind of task instructs type wisdom agricultural planting expert system |
| CN111026205A (en) * | 2019-12-25 | 2020-04-17 | 四川省农业科学院蚕业研究所 | Smart young silkworm co-breeding system based on Internet of things technology |
Non-Patent Citations (1)
| Title |
|---|
| 孙孝龙 等: ""基于物联网和深度学习的养蚕智能监控系统设计"", 《江苏农业科学》 * |
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