A natural rubber harvesting management application platform based on internet of things

Abstract

The application provides a natural rubber tapping management application platform based on the Internet of Things, which comprises: a device management module for controlling networking and operation management of production equipment, the production equipment comprising a communication base station, a tapping device, a metering device and an analysis device; a production management module for controlling the networked production equipment to perform corresponding tapping operation tasks according to user instructions, the tapping operation tasks at least comprising: network communication management tasks, automatic tapping management tasks, automatic metering management tasks and quality analysis management tasks; and a data analysis module for obtaining production equipment data and yield data, and performing summarization, statistics and analysis based on the production equipment data and the yield data to obtain evaluation of production equipment operation information and yield quality information. The method uses the Internet of Things technology to remotely and wirelessly control and manage production equipment automation operation, realizes tapping operation mechanization, automation and intelligentization, and controls the method to be digitized, informatized and networked.

Description

Technical Field

[0001] This application relates to Internet of Things (IoT) technology in the agricultural field, and more particularly to an IoT-based application platform for natural rubber harvesting management. Background Technology

[0002] Natural rubber is a major global industrial raw material. As a vital strategic resource for my country's national defense and economic development, its self-sufficiency rate has consistently remained below the 15% safety supply threshold, seriously jeopardizing the security of national strategic materials. However, natural rubber production still relies on manual labor methods dating back over 500 years. This not only results in extremely low production efficiency but also leads to a labor shortage of over 50% due to harsh working conditions, high labor intensity, and irregular work schedules, severely hindering the sustainable development of the natural rubber industry. This project aims to change this backward industrial situation and significantly improve the productivity of the natural rubber industry. Summary of the Invention

[0003] This application provides an Internet of Things-based natural rubber harvesting management application platform, which at least solves the above-mentioned technical problems existing in the prior art.

[0004] According to a first aspect of the embodiments of this application, an Internet of Things (IoT)-based natural rubber harvesting management application platform is provided. The platform includes: an equipment management module, a production management module, and a data analysis module. The equipment management module is used to control the network management and operation management of production equipment, which includes at least a communication base station, a rubber tapping device, a metering device, and an analysis device. The production management module is used to control the networked production equipment to execute corresponding harvesting tasks according to user instructions. These harvesting tasks include at least: network communication management, automatic rubber tapping management, automatic metering management, and quality analysis management. The data analysis module is used to acquire production equipment data and output data corresponding to the production equipment, and to summarize, statistically analyze, and obtain production equipment operation information and output quality information based on the production equipment data and output quality information. Evaluation information is obtained based on the production equipment operation information and output quality information. This method, by employing technologies such as IoT, satellite positioning, and cloud platforms, enables remote wireless control and management of production equipment, realizing the mechanization, automation, and intelligence of natural rubber harvesting operations, and the digitalization, informatization, and networking of control methods.

[0005] In one embodiment, the equipment management module includes an operation management submodule; the operation management submodule stores user-set data thresholds for the operation of the production equipment, used to detect real-time dynamic data during the operation of the production equipment, and to perform automatic diagnosis based on the dynamic data and the data thresholds to determine whether the production equipment is operating normally. The data thresholds include at least power parameters, travel parameters, and communication parameters, and control the automated operation of the production equipment; when abnormal operation data of the production equipment is detected, the equipment is automatically shut down and an alarm is triggered; wherein, the dynamic data includes at least power parameters, travel parameters, metering parameters, and communication parameters, and the data thresholds include at least power thresholds, travel thresholds, metering thresholds, and communication thresholds.

[0006] In one possible implementation, the online management of networked production equipment includes: if it is necessary to dismantle networked production equipment, after obtaining the networked production equipment code, the user issues a dismantling command on the platform. The platform deletes the matched production equipment identification code while retaining the production equipment code, thus disconnecting the production equipment from the platform. Both the retained production equipment code and the dismantled production equipment can be reused for network connection. If it is necessary to replace networked production equipment, the production equipment code of the production equipment to be replaced is obtained, and the identification code of the production equipment to be replaced is replaced with the identification code of the target production equipment. After the user issues the replacement operation, the automatic replacement between production equipment identification codes is realized. The target production equipment after replacement is automatically connected to the network, and the production equipment to be replaced can be reconfigured with other production equipment codes before connecting to the network.

[0007] If the production equipment code of a production device needs to be adjusted, after obtaining the corresponding production equipment code, other production equipment codes can be selected from the platform's production equipment code library. When the user issues the adjustment operation, the production equipment code will be automatically adjusted. After the adjustment, the original production code can be reconfigured with other production equipment identification codes.

[0008] In one embodiment, the production management module includes a normal operation submodule. This submodule is used to control production equipment to automatically perform production tasks in rotation within a work cycle based on user-defined normal management data. The normal management data includes: work cycle, start date, end date, operation time, work frequency, and operating equipment. Normal operation refers to production equipment performing tasks during the work cycle when both the operation date and operation time conditions are met. The work cycle is a year-round period or a specified start date to end date, including the rubber tapping season. The operating equipment refers to all or some of the production equipment. The work frequency is the frequency at which all or some of the production equipment performs an operation task every N days from the start date within the work cycle. The operation time is the start-up time of the production equipment for the day's operation task. When the robotic arm of the rubber tapping device needs to return to the starting point to restart operation, the rubber tapping device reports the completed stroke and the number of completed operations. The module controls all, some, or specified robotic arms of the rubber tapping device to return to the starting point and uploads the rubber tapping device reset result information.

[0009] In one embodiment, the production management module further includes a temporary operation submodule; the temporary operation submodule is used to execute temporary management operations performed by the user on the production equipment, including: temporary shutdown operation, temporary startup operation, and online detection operation; the temporary shutdown operation is used to control all or part of the production equipment to suspend production during normal operation, by setting a start date and end date for the temporary shutdown of the normally operating production equipment, and controlling the platform to issue operation instructions during the temporary shutdown period, so that the production equipment suspends production during normal operation; when the temporary shutdown period ends, the platform automatically resumes issuing normal operation instructions to maintain normal production operation of the production equipment; the temporary shutdown... The start and end dates of the machine can be advanced or postponed; the temporary start-up operation is used to control some or all production equipment to temporarily start up during abnormal operation periods; the temporary start-up operation is controlled by selecting all, some, or designated production equipment, and adopting one of two temporary start-up methods: selecting an immediate or scheduled date and time, to control the production equipment to start up immediately or at a scheduled date and time during abnormal operation periods; the abnormal operation refers to the start-up of production equipment that does not meet the requirements of normal operation; the scheduled date and time can be adjusted at any time before execution; the online detection management operation is used to perform online testing on all, some, or designated production equipment at any time to obtain technical data information of the production equipment.

[0010] In one embodiment, the production management module further includes: an equipment alarm submodule and a job assignment submodule; wherein, the equipment alarm submodule is used to send alarm notifications to users when abnormal phenomena occur in the production equipment, the alarm notifications include the fault type and cause of the production equipment, wherein the fault type is at least one of power loss, communication interruption, glue cup abnormality, mechanical failure, and reset warning; the fault cause is at least one of power loss, glue cup detachment, motor damage, blade breakage, theft of the whole machine, electrical control failure, mid-stop jamming, disconnection from relay network, and reset prompt; the job assignment submodule is used by users to assign production equipment management and operation jobs, and by setting the management scope and permissions of production equipment for designated personnel, so that designated personnel can obtain at least one permission within the scope of their permissions, including installation and networking of production equipment, equipment operation, equipment maintenance, rubber tapping and collection, platform management, information query, and data analysis, and designated personnel can perform operation management and information query on production equipment and platform within the authorized scope.

[0011] In one embodiment, the production equipment includes a communication device, a rubber tapping device, a metering device, and an analysis device. The normal operation submodule is used for: during normal operation, the platform automatically sends operation task instructions to all or part of the production equipment, instructing the designated production equipment to perform production operation tasks, including: the rubber tapping device automatically cuts the rubber tree bark to release the latex overflowing from the rubber tree, and after completing the tapping operation, it uploads the production equipment operation data to the platform; the metering device collects the latex and collects the weight of the latex in the rubber bowl, the weight including tare weight and gross weight, and automatically uploads the weight data and the metering device operation data to the platform, wherein the tare weight is the weight of the rubber bowl when there is no latex, and the gross weight is the weight of the rubber bowl including the collected latex; the analysis device detects the dry rubber content of the latex in the container through full inspection or sampling inspection and automatically uploads it to the platform, or uploads the dry rubber content data of the latex in the container to the platform through manual input.

[0012] In one embodiment, the data analysis module includes a data management submodule and a data analysis submodule; wherein, the data management submodule includes production equipment operation data and rubber tapping production operation data, wherein the production equipment operation data is obtained by the platform and records and saves at least one of the following information: network access, operation, power consumption, fault, adjustment, battery replacement, and communication of the production equipment; the rubber tapping production operation data is obtained by the platform through data uploaded by the metering device and the analysis device, recording and saving data on tapping time, latex collection time, tare weight, gross weight, and dry rubber content, and calculating the net weight of latex and the weight of dry rubber, wherein the latex weight and dry rubber weight data respectively include: unit rubber The data analysis submodule evaluates the status of production equipment and latex yield and quality information by analyzing production equipment operation data and rubber tapping operation data. Specifically, the production equipment status is obtained through analysis of production equipment operation data, including at least one of the following: equipment integrity rate, failure rate, maintenance rate, service life, power replacement rate, network outage rate, and production efficiency. The latex yield and quality are determined through analysis of production operation data to obtain the memory relationship between latex weight, dry rubber content, tapping time, and collection time, guiding users in scientific rubber tapping. Dry rubber content is considered part of latex quality.

[0013] In one embodiment, the data analysis module is further configured to obtain stored historical data from the production equipment database, and based on the historical data, perform comprehensive data analysis on the latex quality, yield, and operation time data, combined with at least one rubber plantation environmental information including tree species, tree age, climate, soil, and pests and diseases, to analyze the impact of the environment on latex quality and yield, and predict the changing trends of latex quality and yield.

[0014] This application provides an Internet of Things (IoT)-based natural rubber harvesting management application platform. Utilizing IoT technology, the platform's equipment management, production management, and data analysis modules enable remote wireless control and management of automated production equipment operations, as well as automatic collection and analysis of yield data. Through machine replacement and digital empowerment, it achieves mechanization, automation, and intelligence in natural rubber harvesting operations, and digitization, informatization, and networking of control methods. This changes the industry's backward status quo and significantly improves the productivity of the natural rubber industry.

[0015] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent from the following description. Attached Figure Description

[0016] The above and other objects, features, and advantages of exemplary embodiments of this application will become readily apparent from the following detailed description taken in conjunction with the accompanying drawings. Several embodiments of this application are illustrated in the drawings by way of example and not limitation, in which:

[0017] In the accompanying drawings, the same or corresponding reference numerals indicate the same or corresponding parts.

[0018] Figure 1 This illustration shows a schematic diagram of an implementation module of an Internet of Things-based natural rubber harvesting management application platform according to an embodiment of this application;

[0019] Figure 2 A schematic diagram of the composition structure of an electronic device according to an embodiment of this application is shown. Detailed Implementation

[0020] To make the objectives, features, and advantages of this application more apparent and understandable, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0021] Figure 1 The diagram shows a schematic representation of an implementation module of an Internet of Things-based natural rubber harvesting management application platform according to an embodiment of this application.

[0022] See Figure 1 According to a first aspect of the embodiments of this application, an Internet of Things (IoT)-based natural rubber harvesting management application platform is provided. The platform can be a cloud platform, hosted on a cloud server. The platform's display interface can be functionally differentiated, and can be configured as: an equipment management module 100, a production management module 200, and a data analysis module 300.

[0023] The equipment management module 100 is used to control the network management and operation management of production equipment, which includes at least a communication base station, a rubber tapping device, a metering device, and an analysis device.

[0024] In one embodiment, the equipment management module 100 includes an operation management submodule 110; the operation management submodule 110 stores data thresholds for the production equipment, which is used to monitor the dynamic data of the production equipment in operation in real time, so as to automatically diagnose whether the production equipment is operating normally based on the dynamic data and data thresholds. The dynamic data includes at least power parameters, travel parameters, metering parameters and communication parameters; correspondingly, the data thresholds include at least power thresholds, travel thresholds, metering thresholds and communication thresholds.

[0025] Specifically, data thresholds characterize the control range of device data for various types of equipment. The two ends represent the lower or upper limit of safe device data. That is, when dynamic data falls within the control range, the equipment is considered to be in a safe operating state; conversely, when dynamic data falls outside the control range, the equipment is considered to be in an abnormal operating state. It is understood that the control range differs for different equipment data, including but not limited to: power parameter control range, travel parameter control range, metering parameter control range, and communication parameter control range. Correspondingly, when dynamic data exceeds the corresponding real-time data control range, the platform can control the production equipment to shut down through the operation management submodule to ensure equipment safety, and can also automatically issue alarms through the equipment alarm submodule to notify users to handle the anomaly.

[0026] In one embodiment, the equipment management module 100 further includes a network management submodule 120. The network management submodule 120 is used to establish a network connection with the production equipment, including network connection under Internet conditions and network connection under Internet conditions. It also obtains the location information of the networked production equipment and manages the networked production equipment online. The network connection methods include direct network connection and multi-network connection. The direct network connection is implemented by obtaining the production equipment identification code or IoT card number corresponding to the production equipment, configuring the corresponding production equipment code, and using the production equipment code to access the Internet to realize the network connection between the platform and the production equipment. The multi-network connection is implemented by obtaining the corresponding production equipment identification code, configuring the corresponding production equipment code, and using a communication base station to form a network and then connecting the production equipment code to the Internet to realize the network connection between the platform and the production equipment.

[0027] Specifically, the platform establishes and manages the network connection between the production equipment and the platform through a network management submodule. This network connection can operate under both on-network and offline conditions. By establishing this connection, the application platform can determine the location and coding information of the production equipment, enabling online management of the networked equipment. Specifically, determining the location information of the production equipment is achieved by either automatically uploading the equipment's location information via the user's mobile terminal when uploading the equipment's identification code, or by automatically uploading the location information via the production equipment's built-in positioning device.

[0028] Network connectivity includes direct connection and multi-level networking. Direct connection refers to the platform acquiring the production equipment identification code or IoT card number, configuring the corresponding production equipment code, and uploading it to directly establish a network connection between the platform and the production equipment via the internet. Multi-level networking refers to the platform acquiring the production equipment identification code, configuring the production equipment code, establishing a network connection via a communication base station, and uploading it to access the internet to establish a network connection with the production equipment.

[0029] Furthermore, the method for obtaining the production equipment identification code or IoT card number is as follows: The user terminal, connected to the platform, scans or enters the corresponding production equipment to obtain its identification code or IoT card number. After the user uploads this information to the application platform, the application platform configures the corresponding production equipment code and network connection. The production equipment identification code and production equipment code adopt a "one machine, one code" management method to clearly manage each piece of production equipment.

[0030] Furthermore, network connectivity under network conditions is used to characterize: when the rubber plantation has network access (i.e., internet communication is unimpeded), the equipment automatically connects to the network after uploading its identification code or IoT card number. Network connectivity under network-free conditions is used to characterize: when the rubber plantation lacks network access (i.e., there is no internet signal), the equipment first reads and records its identification code and location information, then connects to the network manually when an internet signal is available.

[0031] In one possible implementation, online management of networked production equipment includes: if it is necessary to dismantle networked production equipment, obtaining the production equipment code; when the user confirms the dismantling operation command, deleting the corresponding production equipment identification code while retaining the production equipment code; both the retained production equipment code and the production equipment identification code of the dismantled production equipment can be reused for network reconnection; if it is necessary to replace networked production equipment, after obtaining the production equipment code, replacing the production equipment identification code of the production equipment to be replaced with the production equipment identification code of the target production equipment; when the user confirms the replacement operation, automatically replacing the production equipment identification codes, i.e., deleting the production equipment identification code of the production equipment to be replaced, adding the production equipment identification code of the target production equipment, and automatically connecting the target production equipment while keeping the production equipment code unchanged; if it is necessary to replace the production equipment code of a production equipment, after obtaining the production equipment code to be replaced, selecting other unconnected target production equipment codes from the platform's production equipment code library; when the user confirms the replacement operation, automatically completing the replacement of the production equipment codes; the production equipment code to be replaced can be configured with other production equipment identification codes.

[0032] In one possible implementation, after the rubber tapping device has completed all its strokes, or if it is necessary to return the robotic arm in the rubber tapping device to the starting point and reset it before restarting the tapping process, a user can select all, some, or a specific rubber tapping device on the platform. When the user confirms the reset operation, all robotic arms of the rubber tapping device within the selected range will return to the starting point, and the platform's stroke count will be reset to zero, and the stroke count will be recalculated.

[0033] The production management module 200 is used to control the networked production equipment to perform corresponding harvesting tasks according to user instructions. The harvesting tasks include at least: rubber tapping operation, metering operation and analysis operation. The data analysis module 300 is used to acquire the production data corresponding to the analysis operation, and based on the rubber plantation data corresponding to the planting platform, to summarize, statistically analyze the production data and obtain rubber plantation evaluation information.

[0034] Specifically, the production management module manages and operates networked equipment online, automatically controls rubber tapping machine operations, automatically collects production data, and automatically detects production equipment operation information, including normal production management, temporary operation management, equipment alarm management, and job assignment management.

[0035] In one embodiment, the production management module 200 includes a normal operation submodule 210; the normal operation submodule 210 stores normal management data to control the production equipment to periodically execute production operation tasks. The normal management data includes: work cycle, start date, end date, operation date, operation time, work frequency, and work equipment, wherein the work equipment is some or all of the production equipment.

[0036] In practical applications, rubber trees in rubber plantations are usually tapped multiple times during the tapping season. Based on this, the normal operation of this application can be to tap rubber trees multiple times during the tapping season.

[0037] Specifically, the normal operation submodule controls the periodic automatic operation of production equipment by setting normal management data. This is achieved by defining the rubber tapping season by setting start and end dates, which can be set for the entire year or specific dates. During the tapping season, the production equipment is automatically controlled, and the tapping season can be adjusted. By setting operation modes, all or some of the production equipment is controlled to automatically tap the rubber trees in rotation during the tapping season, collecting and analyzing yield and quality data. Operation modes include work frequency and operation time, where the work frequency is set as one tap per day (d / 1), one tap every two days (d / 2), or tapping every N days. The operation is set in a one-cut (d / n) mode, and the operation time can be selected and determined within 0-23 hours according to the work frequency. When the work frequency and operation time conditions are met, the platform issues instructions to control the production equipment that meets the conditions to operate. The work frequency and operation time can be adjusted at any time before the operation time of the day. After the latex collection task is completed, the dry rubber content of the latex produced on the production day is analyzed by the analysis device, either centrally or individually. The dry rubber content data is then uploaded to the platform, or it can be uploaded manually. The dry rubber content data can be collected and uploaded at any time on the production day or after the production day by selecting the production day.

[0038] Specifically, the metering device measures the latex produced by the rubber tapping device that meets the working frequency and operation time. When the rubber tapping device starts tapping, it automatically uploads the tare weight data. When the latex collection is completed, it automatically uploads several measurement data before the latex bowl leaves the metering device, and after filtering out the heaviest data as the gross weight data, the platform calculates the net weight of the latex.

[0039] Furthermore, users can pre-input adjustment parameters into the platform to adjust any parameter, including but not limited to:

[0040] Rubber tapping season adjustment parameters are used to adjust the start and end dates of the rubber tapping season.

[0041] Operating frequency adjustment parameters are used to adjust the operating frequency of the rubber tapping device or metering device;

[0042] The operation time adjustment parameter is used to adjust the operation time of the rubber tapping device or metering device.

[0043] Similarly, after the production equipment completes its current production task, it sends back the corresponding production equipment operation and production operation information to the platform. The platform then analyzes the operation and operation information based on the feedback information sent back by the production equipment.

[0044] The following is a specific implementation scenario. The production equipment includes a communication base station, a rubber tapping device, a metering device, and an analysis device. The normal operation submodule 210 is used to: send a normal rubber tapping task to the rubber tapping device when the work date and time are met, instructing the tapping device to tap designated rubber trees; send a weighing task to the metering device, instructing the metering device to weigh the latex produced from designated rubber trees; and after completing the latex collection task, use the analysis device to detect the dry rubber content of the latex and upload the dry rubber content data, or manually enter the dry rubber content data to determine the dry rubber content in the latex. After completing their tasks, the rubber tapping device and the metering device upload production equipment operation and output information to the platform, and analyze and process the uploaded information and data.

[0045] Based on the application of this application to the natural rubber plantation industry, let's take a production task related to natural rubber as an example. The production task includes tapping, weighing, and analysis. The tapping task involves tapping rubber trees using a tapping device to produce latex. The weighing task involves collecting and weighing the produced latex to determine the latex production volume of the rubber tree. The analysis task involves analyzing the dry rubber content of the latex using an analysis device or manually inputting the data to determine the dry rubber content of the produced latex.

[0046] The following explanation will be based on the example of a production task involving tapping rubber trees.

[0047] In one implementation, a tapping device or metering device is fixed to each rubber tree. Using the rubber plantation as the basic unit, the rubber trees in the plantation are numbered according to their planting order, with each rubber tree assigned a unique tree position number. This tree position number serves as the equipment code for the tapping and metering devices fixed to the rubber tree, and is matched with the identification code of the production equipment fixed to the rubber tree to achieve online management. Users can use the tree position number on the platform to set operation modes, issue operation instructions, and obtain information on the operation of corresponding production equipment and the latex yield of the rubber trees. After obtaining the latex yield data, the dry rubber content of the latex in the collected or individual containers is detected by an analysis device, and the dry rubber content data is automatically uploaded to the platform, or uploaded by the user through a user-entry method.

[0048] The metering device corresponds to the rubber tapping device. When the rubber tapping device of the same tree position executes the operation instruction, the metering device automatically starts the weighing task at the same time and weighs the tare weight data when the latex has not been collected and uploads it to the platform. After the metering device completes the latex collection, it weighs the gross weight data after the latex collection is completed when the latex bowl is removed from the metering device and uploads it to the platform. The platform processes the tare weight and gross weight data, calculates the net weight data, and records and saves the collection time of the tare weight and gross weight data respectively.

[0049] After the latex collection task is completed, the dry rubber content of the produced latex is analyzed to obtain the dry rubber content composition data. The platform uses the dry rubber content data of each container uploaded by the analysis device or manually entered to calculate the dry rubber yield of the latex and obtain the output dry rubber yield.

[0050] In one implementation scenario, it is necessary to set a gross weight weighing wake-up time for the metering equipment's operating parameters. After the metering device completes the tare weight data collection, it enters a sleep state to reduce the power consumption of the metering device during latex collection. When the wake-up time condition is met, the platform issues a weighing command to start the metering device for continuous weighing. When the latex cup is removed from the metering device, only at least one gross weight data is uploaded to the platform, which processes the tare weight and gross weight data. The weighing wake-up time can be selected and determined within the range of 0:00 to 23:00. If no latex is collected on the same day, the metering device can be controlled to enter a sleep state by setting the day's shutdown time through the platform.

[0051] In one implementation scenario, the weighing and analysis devices have data acquisition capabilities. The collected dry adhesive content data and production volume data are uploaded to the platform, where the platform processes and calculates the data.

[0052] It should be added that for the analysis and weighing tasks, some or all of the rubber tapping equipment can be randomly selected and equipped with corresponding metering devices. After the metering devices collect the latex output data from the tapping equipment, the platform summarizes and statistically analyzes the latex output data from the metering devices. The analysis device collects all or part of the collected latex, or collects the dry rubber content data of each latex from a single metering device, and the platform summarizes and statistically analyzes the dry rubber content data. The weighing and analysis tasks can be performed asynchronously with the rubber tapping tasks.

[0053] In one embodiment, the production management module 200 further includes a temporary operation submodule 220; the temporary operation submodule is used to perform temporary management operations on the production equipment during normal working tasks or non-normal working tasks, and the temporary management operations include: temporary stop operation, temporary start operation, and online detection management operation; the temporary stop operation is used to control some or all production equipment to suspend operation during normal working hours; the temporary start operation is used to control some or all production equipment to temporarily start operation during non-working hours or non-working hours during normal working hours; the online detection management operation is used to perform online testing on some or all production equipment to obtain equipment operation information of the production equipment.

[0054] The temporary operation submodule 220 is used by users to perform temporary management operations on production equipment during normal or abnormal production periods, including temporary stoppage, temporary activation, and online monitoring management. Temporary stoppage management allows users to set start and end dates for temporary shutdowns during normal working hours, controlling the equipment to pause operation within the designated stoppage period. The start or end dates can be advanced or postponed. Temporary activation management controls the temporary activation of all or some production equipment during non-working hours or abnormal working hours. Temporary activation can be done instantly or by scheduling a start date and time. This operation does not alter the cyclical operation pattern of the production equipment. Online monitoring management allows users to select all, some, or specified production equipment to test real-time data online, obtaining equipment information and understanding its operational status. The normal working period includes the set rubber tapping season.

[0055] In one embodiment, the production management module 200 further includes: an equipment alarm submodule 230 and a job assignment submodule 240; wherein, the equipment alarm submodule 230 sends an alarm notification to the user when an abnormality occurs in the production equipment, the alarm notification including the fault type and cause of the fault, wherein the fault type is one of power failure, communication failure, mechanical failure, and rubber cup abnormality; the job assignment submodule 240 is used to set specified permissions for designated users, so that the designated users can obtain at least one of the following permissions based on the permission scope: installation and network access permission, equipment maintenance permission, rubber tapping and collection permission, and information management permission.

[0056] The equipment alarm submodule 230 automatically diagnoses the production equipment and provides immediate alarms when abnormal phenomena occur, including power shortage notifications, communication interruption notifications, mechanical fault notifications, missing glue cup notifications, and reset warnings. These abnormal phenomena are categorized and indicated using codes. The power shortage alarm notification alerts the user when the equipment is running out of power. It warns of "low power" when the power is only sufficient to maintain the minimum operating capacity and "power failure" when the power is insufficient to support operation, notifying the user to replace the power supply. The communication interruption alarm notification alerts the user of "disconnection" when network communication is interrupted, indicating a network communication failure or theft of the equipment. The mechanical fault alarm notification alerts the user of "fault" when mechanical faults occur, displaying a fault code indicating the type and cause of the fault and providing online troubleshooting methods. The missing glue cup notification alerts the user that a glue cup has not been placed on the metering device. After the fault is resolved or the power supply is replaced, the abnormal information can be cleared through manual confirmation or automatic error correction. The reset warning notification is used to indicate that the rubber tapping device has finished its stroke, and the rubber tapping device can be moved.

[0057] The job assignment submodule 240 is used to assign jobs to production equipment and work areas, implementing an employee job responsibility system. Job positions include installation and networking positions, equipment maintenance positions, rubber tapping and harvesting positions, and information management positions. The job assignment employs methods such as assigning positions to individuals or positions to individuals, or assigning multiple positions to one person or multiple people to one position. The installation and networking positions are assigned based on the rubber plantation, determining the personnel responsible for installing and networking the production equipment. The equipment maintenance positions are assigned based on the rubber plantation or production equipment code, determining the maintenance personnel. The rubber tapping and harvesting positions are assigned based on the rubber plantation or production equipment code, taking into account the agricultural production contract responsibility system during job assignment. Through job assignment, users can only manage and control production equipment, query production equipment information, and manage the platform through user terminals. Online management and operation of production equipment and querying and managing platform information are restricted for those not responsible for the assigned positions.

[0058] In one embodiment, the data analysis module 300 includes a data management submodule 310 and a data analysis submodule 320; wherein, the data management submodule 310 includes production management and equipment management.

[0059] Specifically, production management includes:

[0060] The platform collects the tare weight and gross weight data per unit of rubber latex using a measuring device, and calculates the net weight per unit of rubber latex. The weight units include grams, kilograms, and tons, as shown in the following formula:

[0061] G = Ga - Gb

[0062] In the formula, G represents the latex production per unit of rubber tree, Ga represents the gross weight, and Gb represents the tare weight.

[0063] The platform calculates the total weight of latex collected from all rubber trees by summing the latex weights collected per tree. The specific calculation formula is as follows:

[0064] Gm = G1 + G2 + G3 + ... + Gn

[0065] In the formula, Gm represents the total weight of latex collected from all rubber trees, and G1, G2, G3...Gn represent the weight of latex collected per unit rubber tree;

[0066] The platform calculates the average weight of latex per unit of rubber tree by collecting latex from all rubber trees using an arithmetic mean. The specific calculation formula is as follows:

[0067] Gx = Gm / n,

[0068] In the formula, Gx represents the average weight of rubber latex per unit of rubber tree, and n represents the actual quantity measured by the measuring device.

[0069] Specifically, for dry glue weight management, an analytical device is used to detect the dry glue content of the collected latex containers. The dry glue content of each sampled container is obtained through full inspection or sampling methods and uploaded to the platform. The platform then calculates the average dry glue content data of the latex in the sampled containers.

[0070] The average dry adhesive content is calculated by averaging the dry adhesive content data obtained from the sampling of the analytical device. The specific calculation formula is as follows:

[0071] T = (T1 + T2 + T3 + ... + Tn) / n

[0072] In the formula, T represents the average dry adhesive content, T1, T2, T3...Tn represent the sampled dry adhesive content data in each container, and n represents the number of sampling containers. The dry adhesive content data are relative values ​​(%).

[0073] Based on the calculated dry adhesive content data, calculate the average and total dry adhesive weight in the latex. The specific formula for calculating the average dry adhesive weight is as follows:

[0074] B = Gx * T

[0075] In the formula, B represents the average dry glue weight, Gx represents the average latex weight, and T represents the average dry glue content.

[0076] The specific formula for calculating the total weight of dry adhesive is as follows:

[0077] A = Gm * T

[0078] In the formula, A represents the total weight of dry adhesive, Gm represents the total weight of latex, and T represents the average dry adhesive content.

[0079] Based on the total latex production and dry rubber production of rubber plantations compiled and statistically analyzed, and combined with the sampled rubber plantation planting area, the total yield per unit area was calculated, including yield per mu (unit of land area) and yield per hectare.

[0080] Specifically, equipment management includes:

[0081] By using the technical data uploaded by the production equipment on the platform, statistical management of the production equipment data is carried out, the operation information of the production equipment is obtained, and the operation status of the production equipment is monitored, including at least one of the following: production equipment operation time, number of operations, number of failures, number of battery replacements, number of machine replacements, number of rubber cup losses, etc.

[0082] The data analysis submodule 320 analyzes the production and equipment management data obtained from the data management module to achieve the digitalization and informatization of harvesting operation management.

[0083] Specifically, yield data analysis involves analyzing historical average latex weight, average dry rubber content, total latex weight, and total dry rubber weight, combined with tapping factors such as tapping time and harvesting time, as well as information on the tree species and age. This analysis examines the relationship between tapping time and yield. Simultaneously, by analyzing environmental information such as climate, soil, and pests and diseases in the rubber plantation, the analysis examines the relationship and trends between yield and quality and the plantation environment. Through data analysis, scientific guidance is provided for harvesting production.

[0084] Specifically, equipment data analysis involves obtaining statistical data from production equipment data management, analyzing equipment usage data to obtain information on production equipment usage, including at least one of the following: failure rate, availability rate, battery replacement rate, maintenance rate, and service life. Through equipment data analysis, the utilization rate of production equipment can be improved.

[0085] According to embodiments of this application, this application also provides an electronic device and a readable storage medium.

[0086] Figure 2 A schematic block diagram of an example electronic device 400 that can be used to implement embodiments of this application is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the application described and / or claimed herein.

[0087] As shown in Figure 3, device 400 includes a computing unit 401, which can perform various appropriate actions and processes based on a computer program stored in read-only memory (ROM) 402 or a computer program loaded from storage unit 408 into random access memory (RAM) 403. RAM 403 may also store various programs and data required for the operation of device 300. The computing unit 401, ROM 402, and RAM 403 are interconnected via bus 404. Input / output (I / O) interface 405 is also connected to bus 404.

[0088] Multiple components in device 300 are connected to I / O interface 405, including: input unit 406, such as keyboard, mouse, etc.; output unit 407, such as various types of monitors, speakers, etc.; storage unit 408, such as disk, optical disk, etc.; and communication unit 409, such as network card, modem, wireless transceiver, etc. Communication unit 409 allows device 300 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0089] The computing unit 401 can be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 401 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 401 performs the various methods and processes described above, such as a control method for an IoT-based natural rubber harvesting management application platform. For example, in some embodiments, a control method for an IoT-based natural rubber harvesting management application platform can be implemented as a computer software program tangibly contained in a machine-readable medium, such as storage unit 408. In some embodiments, part or all of the computer program can be loaded and / or installed on device 300 via ROM 402 and / or communication unit 409. When the computer program is loaded into RAM 403 and executed by the computing unit 401, one or more steps of the control method for an IoT-based natural rubber harvesting management application platform described above can be performed. Alternatively, in other embodiments, the computing unit 401 may be configured by any other suitable means (e.g., by means of firmware) to execute a control method for an Internet of Things-based natural rubber harvesting management application platform.

[0090] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0091] The program code used to implement the methods of this application may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing device, such that when executed by the processor or controller, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0092] In the context of this application, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. Machine-readable media can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0093] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0094] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as a data server), or computing systems that include middleware components (e.g., an application server), or computing systems that include frontend components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with embodiments of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., a communication network). Examples of communication networks include local area networks (LANs), wide area networks (WANs), and the Internet.

[0095] Computer systems can include clients and servers. Clients and servers are generally located far apart and typically interact via communication networks. Client-server relationships are created by computer programs running on the respective computers and having a client-server relationship with each other. Servers can be cloud servers, servers in distributed systems, or servers incorporating blockchain technology.

[0096] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this application can be achieved, and this is not limited herein.

[0097] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "a plurality of" means two or more, unless otherwise explicitly specified.

[0098] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. An Internet of Things-based natural rubber harvesting management application platform, characterized in that, The platform includes: an equipment management module, a production management module, and a data analysis module; wherein... The equipment management module is used to control the network management and operation management of the production equipment, which includes at least a communication base station, a rubber tapping device, a metering device, and an analysis device. The metering device collects latex and measures the weight of the latex in the container, including tare weight and gross weight. The weight data and the metering device's operating data are automatically uploaded to the platform. The tare weight is the weight of the container when it is empty of latex, and the gross weight is the weight of the container after collecting the latex. The metering device is configured correspondingly to the rubber tapping device. The metering device measures the latex produced by the tapping device within the specified working frequency and time. It automatically uploads tare weight data when the tapping device starts tapping, and automatically uploads several measurement data points before the latex bowl leaves the metering device when latex collection is complete. The heaviest data point is selected as the gross weight data, and the platform calculates the net weight of the latex. The metering device's operating parameters require a gross weight weighing wake-up time setting. After the metering device completes tare weight data collection, it enters a sleep state. When the wake-up time condition is met, the platform issues a weighing command to start continuous weighing. When the latex bowl leaves the metering device, only at least one gross weight data point is uploaded to the platform, which processes the tare weight and gross weight data. If no latex is collected on a given day, the metering device enters a sleep state by controlling the device's operating time as set by the platform. The analytical device detects the dry rubber content of latex in the collected latex by means of full inspection or sampling inspection and automatically uploads the data to the platform, or uploads the dry rubber content data of latex in the container to the platform by means of manual input. The device management module also includes a network management submodule; The network management submodule is used to establish a network connection between the platform and the production equipment. The network connection includes networking under Internet conditions and networking under Internet conditions. At the same time, it obtains the location information of the networked production equipment and realizes remote wireless online management of the networked production equipment. The networking under Internet conditions is used to represent the condition of no Internet signal. First, the identification code and location information of the production equipment are read and saved. When there is Internet signal, the network is connected by manual upload. The networking methods include direct networking and multi-network networking; The direct network connection is achieved by selecting the production equipment code, configuring the corresponding production equipment identification code or IoT card number, and establishing a network connection between the platform and the production equipment via the Internet. The networking implementation method is as follows: select a production equipment code, configure the corresponding production equipment identification code, and connect to a communication base station; after converting two different communication protocols through the communication base station, the network connection between the networked production equipment and the platform is realized through the Internet access platform. The communication base station includes relay or gateway communication devices; wherein, the production equipment identification code or the IoT card number is obtained by: the user terminal connected to the platform obtains the identification code or IoT card number corresponding to the production equipment by scanning or entering the corresponding production equipment. After the user uploads the information to the application platform through the user terminal, the application platform configures the corresponding production equipment code and network connection. Each rubber tree is fixed with either a tapping device or a metering device. Each rubber tree is numbered according to its planting order, and each rubber tree is assigned a tree position number. The tree position number serves as the production equipment code for the tapping device and metering device fixed on the rubber tree. After matching the production equipment identification code on the rubber tree, online management is achieved. The production management module is used to control the networked production equipment to execute corresponding harvesting tasks according to user instructions. The harvesting tasks include at least: network communication management, automatic tapping management, automatic metering management, and quality analysis management. The data analysis module is used to acquire production equipment data and output data corresponding to the production equipment, and to summarize, statistically analyze, and obtain production equipment operation information and output quality information based on the production equipment data and output quality information, and to obtain evaluation information based on the production equipment operation information and output quality information. The data analysis module is also used to obtain stored historical data from the production equipment database, and based on the historical data, to conduct comprehensive data analysis on latex quality, yield, and operation time data, combined with at least one rubber plantation environmental information from tree species, climate, soil, and pests and diseases, to analyze the impact of the environment on latex quality and yield, and predict the changing trends of latex quality and yield. Includes an operation management submodule; The operation management submodule stores the data thresholds for the operation of production equipment set by the user. It is used to detect the dynamic data of the production equipment in real time, automatically analyze and diagnose the operating status of the production equipment, control the automated operation of the production equipment, and automatically control the equipment to stop and issue an alarm when abnormal operating data of the production equipment is detected. The dynamic data includes at least power parameters, travel parameters, metering parameters, and communication parameters, and the data thresholds include at least power thresholds, travel thresholds, metering thresholds, and communication thresholds. The production management module includes a normal operation sub-module; The normal operation submodule is used to control the production equipment to automatically and alternately perform production tasks within the work cycle based on the normal management data set by the user. The normal management data includes: work cycle, start date, end date, operation time, operation frequency, and operating equipment. Normal operation refers to the production equipment performing operation tasks during the work cycle when both the operation date and operation time conditions are met. The work cycle is a whole year or a specified period from start date to end date, including the rubber tapping season. The operating equipment refers to all or some of the production equipment. The operation frequency is the frequency at which all or some of the production equipment performs operation tasks once every N days from the start date within the work cycle. The operation time is the start-up time of the production equipment for the day it performs the operation task. When the robotic arm of the rubber tapping device needs to return to the starting point of the work to restart the work, the rubber tapping device reports the completed stroke and the number of completed operations; controls all, part or a specified robotic arm of the rubber tapping device to return to the starting point of the work, and uploads the reset result information of the rubber tapping device; The data analysis module includes a data management submodule and a data analysis submodule; the data management submodule includes production management and equipment management. Specifically, production management includes: The platform collects the tare weight and gross weight data per unit of rubber latex using a measuring device, and calculates the net weight per unit of rubber latex. The weight units include grams, kilograms, and tons, as shown in the following formula: G = Ga - Gb In the formula, G represents the latex production per unit of rubber tree, Ga represents the gross weight, and Gb represents the tare weight. The platform calculates the total weight of latex collected from all rubber trees by summing the latex weights collected per tree. The specific calculation formula is as follows: Gm = G1 + G2 + G3 + ... + Gn In the formula, Gm represents the total weight of latex collected from all rubber trees, and G1, G2, G3, and Gn represent the weight of latex collected per unit rubber tree. The platform calculates the average weight of latex per unit of rubber tree by collecting latex from all rubber trees using an arithmetic mean. The specific calculation formula is as follows: Gx = Gm / n, In the formula, Gx represents the average weight of rubber latex per unit of rubber tree, and n represents the actual quantity measured by the measuring device. Specifically, for dry glue weight management, an analytical device is used to detect the dry glue content of the collected latex containers. The dry glue content of each sampled container is obtained through full inspection or sampling methods and uploaded to the platform. The platform then calculates the average dry glue content data of the latex in the sampled containers. The average dry adhesive content is calculated by averaging the dry adhesive content data obtained from the sampling of the analytical device. The specific calculation formula is as follows: T = (T1 + T2 + T3 + ... + Tn) / n In the formula, T represents the average dry glue content, T1, T2, T3, and Tn represent the dry glue content sampling data in each container, and n represents the number of sampling containers; the dry glue content data are relative values. Based on the calculated dry adhesive content data, calculate the average and total dry adhesive weight in the latex. The specific formula for calculating the average dry adhesive weight is as follows: B = Gx * T In the formula, B represents the average dry glue weight, Gx represents the average latex weight, and T represents the average dry glue content. The specific formula for calculating the total weight of dry adhesive is as follows: A = Gm * T In the formula, A represents the total weight of dry adhesive, Gm represents the total weight of latex, and T represents the average dry adhesive content. Based on the total latex production and dry rubber production of rubber plantations compiled and statistically analyzed, and combined with the sampled rubber plantation planting area, the total yield per unit area was calculated, including yield per mu (unit of land area) and yield per hectare.

2. The platform according to claim 1, characterized in that, The online management of networked production equipment includes: If it is necessary to dismantle a networked production device, after obtaining the networked production device code, the user issues a dismantling command on the platform to delete the matched production device identification code, thereby disconnecting the production device from the platform. The dismantled production device and its code can then be reconnected to the network. If it is necessary to replace a networked production device, after obtaining the networked production device code to be replaced, the user enters the identification code of the target production device and issues a replacement command on the platform. This automatically replaces the production device identification code in the original production device code and connects it to the network. At the same time, the replaced production device can be re-matched with other production device codes and reconnected to the network. If it is necessary to adjust the code of a production equipment that is already connected to the network, after obtaining the production equipment code that needs to be replaced, select another production equipment code in the platform's production equipment code library, issue a code adjustment command on the platform, and realize the replacement between the two production equipment codes. The production equipment identification code after the code replacement is reconfigured; the original production equipment code can be reconfigured with other production equipment identification codes.

3. The platform according to claim 1, characterized in that, The production management module also includes a temporary operation sub-module; The temporary operation submodule is used to perform temporary management operations on production equipment by the user. The temporary management operations include: temporary shutdown operation, temporary startup operation, and online detection operation. The temporary shutdown operation is used to control all or part of the production equipment to suspend production during normal operation. By setting the start and end dates of the temporary shutdown for the normally operating production equipment, the control platform issues work instructions during the temporary shutdown period, causing the production equipment to suspend production during normal operation. When the temporary shutdown period ends, the platform automatically resumes issuing normal work instructions to maintain normal production operation of the production equipment. The start and end dates of the temporary shutdown can be advanced or postponed. The temporary startup operation is used to control some or all production equipment to temporarily start up and operate during abnormal operation periods. This temporary startup operation involves selecting all, some, or designated production equipment, and using one of two temporary startup methods: immediate or scheduled date and time. Abnormal operation refers to the startup of production equipment that does not meet the requirements for normal operation. The scheduled date and time can be adjusted at any time before execution. The online testing and management operation is used to conduct online tests on all, some, or designated production equipment at any time to obtain technical data information of the production equipment.

4. The platform according to claim 3, characterized in that, The production management module further includes: an equipment alarm submodule and a job assignment submodule; wherein, The equipment alarm submodule is used to send alarm notifications to users when abnormal phenomena occur in the production equipment. The alarm notification includes the fault type and cause of the production equipment. The fault type is at least one of the following: power loss, communication interruption, abnormal glue cup, mechanical failure, and reset warning. The fault cause is at least one of the following: power loss, glue cup detachment, motor damage, blade breakage, theft of the whole machine, electrical control failure, mid-stop jamming, disconnection from relay network, and reset prompt. The job assignment submodule is used by users to assign production equipment management and operation positions. By setting the management scope and permissions of production equipment for designated personnel, the designated personnel can obtain at least one permission within the scope of their permissions, including installation and networking of production equipment, equipment operation, equipment maintenance, rubber tapping and collection, platform management, information query, and data analysis. The designated personnel can perform operation management and information query on production equipment and platform within the scope of their authorization.

5. The platform according to claim 1, characterized in that, The production equipment includes a communication device, a rubber tapping device, a metering device, and an analysis device. The normal operation submodule is used to: during normal operation, automatically send work task instructions to all or some of the production equipment, instructing designated production equipment to perform production operation tasks, including: The rubber tapping device automatically cuts the bark of rubber trees, allowing the latex that overflows from the trees to be uploaded to the platform after the harvesting operation is completed.

6. The platform according to claim 5, characterized in that, The data analysis module includes a data management submodule and a data analysis submodule; wherein, The data management submodule includes production equipment operation data and rubber tapping production operation data. The production equipment operation data is obtained by the platform and recorded and saved at least one of the following information: network access, operation, power consumption, fault, adjustment, battery replacement, and communication of the production equipment. The rubber tapping production operation data mentioned above are data uploaded by the platform through metering and analysis devices. The platform records and saves data such as tapping time, latex collection time, tare weight, gross weight and dry rubber content, and calculates the net weight of latex and the weight of dry rubber. The latex weight and dry rubber weight data include at least one of the following: weight per unit rubber tree, average weight per unit rubber tree, and weight per acre. The data analysis submodule evaluates the status of production equipment and the quality of latex production by analyzing the operating data of production equipment and the production operation data. Specifically, the production equipment status is obtained through analysis of the operating data, including at least one of the following: equipment availability rate, failure rate, maintenance rate, service life, battery replacement rate, network outage rate, and production efficiency. The latex production quality is obtained through analysis of the production operation data, identifying the relationship between latex weight, dry rubber content, tapping time, and collection time, to guide users in scientific tapping. Dry rubber content is considered part of the latex quality.

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