Vegetable conservation and supply base digital management and control method and system

Abstract

The invention relates to the technical field of agricultural informatization, in particular to a vegetable conservation and supply base digital management and control method and system. The sensing layer collects data through a sensor network, the transmission layer sends the data collected by the sensing layer to the data layer through an inter-network connector and a remote terminal unit, and the data layer stores and processes application data; the application layer realizes environmental parameter control based on the data of the data layer, and establishes a vegetable production digital platform. According to the vegetable insurance and supply base digital management and control platform provided by the invention, through integration of the sensor network, the wireless identification tag and the Internet of Things technology, full-process datamation and intelligentization of vegetable production and warehouse management are realized, and the agricultural productivity and the management efficiency are significantly improved. The combination of the sales unit and the agricultural product market information acquisition unit enables the market supply and demand data to be closely connected with the production plan. According to the invention, not only are the strain capacity and sustainable development capacity of the vegetable conservation and supply base enhanced, but also the modernization and intelligentization of agricultural production are promoted.

Description

Technical Field

[0001] The present invention relates to the field of agricultural information technology, and in particular to a digital management and control method and system for a vegetable supply base. Background Art

[0002] There are large-scale facility planting and open-air planting in the vegetable supply base, and a large amount of production resource information needs to be managed. The management of various resources has not been digitized and informationized. Management decisions are based on experience and there is insufficient data for reference. Therefore, a comprehensive management service system is urgently needed to timely and effectively grasp the production resource information needed by the enterprise and to be fully prepared for production planning and sales order arrangements.

[0003] By utilizing information technology, we can achieve comprehensive management of information such as production materials, land resources, planting resources, agricultural machinery resources, and labor resources in the project base. This can not only comprehensively, accurately, and timely grasp the basic situation and geographical environment of large-scale agricultural resources in space, but also intuitively understand the current distribution status, production planning, and changing trends of agricultural resources, realize dynamic management and in-depth analysis of base planting, accurately reflect detailed planting data and supervision data of various bases, and realize visual analysis and intelligent dynamic management of production data and ecological environment information, providing a relatively reliable, complete, intuitive, and dynamic decision-making management system for enterprises to plan and manage efficient, safe, and sustainable development. Summary of the invention

[0004] In view of the above problems existing in the prior art, the present invention is proposed.

[0005] Therefore, the present invention provides a digital management and control method for vegetable supply bases, which can solve the problems of insufficient data and informationization, complex production resource management, low decision-making efficiency, high labor costs, poor environmental risk response capabilities, and imperfect storage management in traditional vegetable supply bases. Through the digital management and control platform, full-process data management is achieved, decision-making efficiency is improved, labor costs are reduced, resource utilization is optimized, and the ability to respond to environmental changes is enhanced.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a digital management and control method for a vegetable supply base, comprising: collecting data through a sensor network, and the system storing and processing the data; establishing a digital platform for vegetable production based on the collected data, including an intelligent irrigation unit, which intelligently controls irrigation and fertilization, a storage management unit, which monitors and manages vegetable inventory, environmental conditions and losses in real time, a traceability unit, which records the entire process from vegetable planting to sales, a sales unit, which supports online ordering, payment and order management, and an agricultural product market collection unit, which guides planting planning and sales strategies.

[0007] As a preferred solution of the digital management and control method of the vegetable supply base described in the present invention, wherein: the sensing layer collects data through a sensor network, including installing soil temperature, humidity, conductivity, and pH sensors in the greenhouse to monitor the soil conditions in the greenhouse;

[0008] Use wireless identification tags to assign digital identification codes to vegetables in the warehouse, arrange sensors to monitor vegetable information, adjust the identification frequency according to the monitoring results, and collect environmental data such as temperature and humidity in the warehouse through sensor equipment installed in the perception layer in the warehouse. Monitor vegetable information in real time, establish a vegetable information database, and intelligently optimize the storage location of vegetables in the warehouse.

[0009] As a preferred solution of the digital management and control method of the vegetable supply base described in the present invention, the intelligent irrigation unit includes real-time monitoring of soil temperature, humidity, conductivity and pH value through sensors, and for each parameter, calculating the cumulative non-compliance time within a time window. If the cumulative non-compliance time exceeds a preset time threshold T td , the system sends out an alarm signal. After confirmation by the management personnel, automatic irrigation is started to improve the soil environment. If the cumulative non-compliance time does not exceed the preset time threshold, the system's irrigation water volume remains unchanged and continues to monitor the soil condition;

[0010] The cumulative non-compliance time formula is expressed as:

[0011]

[0012] Where n is the total number of time intervals, Δt i is the time when the parameter does not meet the standard within the i time interval;

[0013] The automatic irrigation includes calculating the irrigation demand index, which is expressed as follows:

[0014]

[0015] Among them, T′ s , H′ s ,EC′ s , pH′ s are the normalized values ​​of soil temperature, soil moisture, soil conductivity and soil pH, respectively; k1 and k2 are different weight coefficients; I is the irrigation demand index;

[0016] The normalization formula is expressed as,

[0017]

[0018] Among them, x′ is the normalized value, x is the original value, and x max 、x minare the maximum and minimum values ​​in the data set, respectively;

[0019] If I≥I high , the system determines that the irrigation demand index is high, and the irrigation unit irrigates at the maximum flow rate to improve soil moisture;

[0020] If I low ≤I<I high , the system determines that the soil needs water replenishment, and the irrigation unit irrigates at a medium flow rate to maintain soil moisture;

[0021] If I<I low , the system determines that the irrigation demand index is low, reduces the irrigation water volume, and maintains the current state.

[0022] As a preferred solution of the digital management and control method of the vegetable supply base described in the present invention, the vegetable information includes vegetable attributes, vegetable status, vegetable location and vegetable quantity;

[0023] The vegetable attributes include name, category, specification, weight and size;

[0024] The vegetable status includes the current status, whether it is damaged, expired, or needs maintenance;

[0025] The vegetable location includes the specific location of the vegetables in the warehouse, which is tracked by the vegetable QR code;

[0026] The quantity of vegetables includes the quantity of each vegetable in the warehouse.

[0027] As a preferred solution of the digital management and control method of the vegetable supply base described in the present invention, wherein: the adjusting the recognition frequency according to the monitoring results includes monitoring the ambient temperature, ambient humidity and the movement state of the vegetables in real time through sensors, and adjusting the wireless sensing recognition frequency according to the acquired monitoring data;

[0028] If the ambient temperature rises, the wireless induction identification tag increases the radio frequency identification frequency, and when the ambient temperature drops, the radio frequency identification frequency is reduced;

[0029] If the ambient humidity rises, the wireless induction identification tag increases the radio frequency identification frequency, and when the ambient humidity drops, the radio frequency identification frequency is reduced;

[0030] If the vegetable is detected to be stationary, the wireless induction identification tag reduces the wireless induction identification frequency. If the vegetable is detected to be in motion, the wireless induction identification tag increases the wireless induction identification frequency.

[0031] Get the frequency adjustment status, which are: all three factors decrease, only one factor decreases, only two factors decrease, and all three factors increase;

[0032] Adjust the wireless induction recognition frequency according to different situations. The calculation formula is expressed as:

[0033]

[0034] C n =C i ×(1+W i )

[0035] Among them, T c is the change of ambient temperature, positive number indicates increase, negative number indicates decrease, H c is the change of humidity, positive number indicates increase, negative number indicates decrease, M c is the change of vegetable motion state, positive number indicates increase, negative number indicates decrease, W i To adjust the weight factor, C n is the adjusted wireless induction recognition frequency, C i Identify the frequency for the original wireless induction.

[0036] As a preferred solution of the digital management and control method of the vegetable supply base described in the present invention, wherein: the establishment of the vegetable information database includes recording the attributes of each vegetable, including name, category, specification, weight and size, recording the status of each vegetable, including whether it is damaged, expired and whether it needs maintenance, recording the specific location of the vegetables in the warehouse, tracking them through wireless sensing recognition technology, and recording the quantity of each vegetable;

[0037] Carry out preliminary classification according to vegetable attributes, group vegetables of the same type and specification together, use classification codes to track them, further classify according to vegetable status, store vegetables with normal status separately from abnormal vegetables, use status codes to track vegetable status, move abnormal vegetables from normal storage area to abnormal vegetable storage area, and update vegetable status in abnormal vegetable storage area;

[0038] The vegetables in normal condition include vegetables that are not damaged, not expired, and do not require maintenance;

[0039] Abnormal vegetables include damaged, expired and maintenance-required vegetables;

[0040] Assign a preliminary storage location to each vegetable and calculate the storage priority of each vegetable. The calculation formula is expressed as:

[0041]

[0042] Among them, S iis the storage priority of the i-th vegetable, V is the shelf life of the vegetable, T is the storage time of the vegetable, M is the weight of the vegetable, A is the size of the vegetable, Q is the number of vegetables, D is the state of the vegetable, which is 0 when normal and 1 when abnormal, and α, β, γ, and δ are different weight coefficients for priority calculation respectively;

[0043] Adjust the storage position of vegetables according to the average storage priority, and store the vegetables in sequence according to the average storage priority. The calculation formula is expressed as:

[0044]

[0045] Among them, S is the average storage priority, m is the number of vegetables, and j is the index value of the vegetable.

[0046] As a preferred solution of the digital management and control method of a vegetable supply base described in the present invention, the intelligent optimization of the storage position of vegetables in the warehouse includes calculating the entry and exit frequency of each vegetable according to the entry and exit records of the vegetables, and calculating the correlation between the vegetables according to the entry and exit frequency of the vegetables and historical data. The formula is expressed as follows:

[0047]

[0048] Among them, CR(A,B) is the correlation index between vegetable A and vegetable B, f AB is the number of times vegetable A and vegetable B are shipped out at the same time, f A 、f B are the number of times vegetables A and B are shipped out, Q A , Q B are the quantities of vegetables A and B respectively;

[0049] According to the frequency and relevance of vegetable usage, secondary optimization is performed to calculate the comprehensive priority of each vegetable. The formula is expressed as:

[0050] ZS i =∈×F i +φ×CR i +θ×S i

[0051]

[0052] Among them, ZS i is the comprehensive priority of the i-th vegetable, F i is the frequency of use of vegetable i, CR i is the average relevance index, ∈, φ, and θ are different comprehensive priority weight coefficients respectively;

[0053] Adjust the order of vegetables according to their comprehensive priority, place vegetables with high comprehensive priority in priority positions, and update and optimize the storage locations of vegetables in the warehouse;

[0054] Continuously collect information on the entry and exit of vegetables, and optimize the layout regularly.

[0055] Another object of the present invention is to provide a digital management and control system for vegetable supply bases to solve the problems of irregular management of large-scale facility planting and open-air planting in the existing management of vegetable supply bases. The existing technology relies on experience-based decision-making and lacks data support, resulting in low efficiency in resource management. Through the present invention, it is possible to achieve comprehensive management of information such as means of production, land resources, planting resources, agricultural machinery resources, and labor resources, and use information technology to comprehensively and accurately grasp the basic situation and geographical environment of agricultural resources, monitor environmental parameters in real time, and dynamically manage the planting situation of the base. Ultimately, the visual analysis and intelligent dynamic management of production data and ecological environment information are realized, providing enterprises with reliable, complete, and intuitive decision-making support, and improving the scientificity and accuracy of production planning and sales order arrangements.

[0056] As a preferred solution of the digital management and control system of the vegetable supply base described in the present invention, it includes: a perception layer module, a transmission layer module, and a data layer and application layer module;

[0057] The perception layer module collects environmental data through the sensor network to provide a real-time data basis for the system;

[0058] The transport layer module sends the data collected by the perception layer to the data layer through 4G, 5G and WiFi networks to ensure the timeliness and reliability of data transmission;

[0059] The data layer and application layer modules store and process the collected data, perform environmental parameter control, and realize intelligent irrigation, traceability management, storage management, sales management and agricultural product market analysis functions.

[0060] A computer device includes a memory and a processor, wherein the memory stores a computer program, and wherein the processor implements the steps of any one of the methods for digital management and control of a vegetable supply base when executing the computer program.

[0061] A computer-readable storage medium having a computer program stored thereon, characterized in that when the computer program is executed by a processor, the steps of any one of the methods described in a method for digital management and control of a vegetable supply base are implemented.

[0062] Beneficial effects of the present invention: The present invention realizes the digitization and intelligence of the entire process of vegetable production and storage management by integrating sensor networks, wireless identification tags and Internet of Things technologies, significantly improving agricultural productivity and management efficiency. The system can monitor and automatically adjust the ambient temperature and humidity in real time to ensure that vegetables grow and are stored in the best environment, reducing yield fluctuations caused by environmental changes. By establishing a detailed vegetable information database, managers can accurately grasp the status, location and quantity of each batch of vegetables, optimize the storage layout, and improve the utilization rate of storage space. The combination of the sales unit and the agricultural product market collection unit closely links the market supply and demand data with the production plan, adjusts the production and sales strategies in a timely manner, reduces inventory risks, and improves customer satisfaction. The present invention not only enhances the resilience and sustainable development capabilities of the vegetable supply base, but also promotes the modernization and intelligence of agricultural production. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0064] Figure 1 An Internet of Things platform architecture diagram of a digital management and control system for a vegetable supply base provided in accordance with an embodiment of the present invention.

[0065] Figure 2 A schematic diagram of an intelligent irrigation unit for a digital management and control method of a vegetable supply base provided by an embodiment of the present invention.

[0066] Figure 3 A module diagram of a digital management and control system for a vegetable supply base provided in one embodiment of the present invention. DETAILED DESCRIPTION

[0067] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0068] Example 1, reference Figure 1-Figure 3 , which is the first embodiment of the present invention, and provides a digital management and control method for a vegetable supply base, comprising:

[0069] S1: Data is collected through the sensor network, and the system stores and processes the data.

[0070] It should be noted that if Figure 1 As shown, the digital management and control system of the vegetable supply base of the present invention is an Internet of Things platform, which integrates and applies computer and network technology, Internet of Things technology, audio and video technology, RS technology, wireless communication technology and expert wisdom and knowledge to achieve automation, intelligence, visualization of agricultural planting, as well as remote diagnosis, remote control, disaster warning and other intelligent management requirements.

[0071] Specifically, it includes the perception layer, transmission layer, data layer and application layer; the perception layer sends the collected data to the data layer through the transmission layer, and the application layer analyzes the data in the data layer and feeds back to the vegetable production digital platform to guide the planting and management of vegetables; the perception layer includes one or more parameters of soil moisture, ambient temperature and humidity, carbon dioxide content, rainfall, wind direction, wind speed, light time, soil pH value, water and fertilizer flow, and sensor control switches that output the above parameters. The transmission layer includes 4G, 5G or Wifi network connectors and remote terminal units. The data layer includes application data, video data, basic data and expert knowledge base. The application layer includes mobile terminals, official accounts and APPs.

[0072] The perception layer collects data through a sensor network, including installing soil temperature, humidity, conductivity, and pH sensors in the greenhouse to monitor the soil conditions in the greenhouse;

[0073] Use wireless identification tags to assign digital identification codes to vegetables in the warehouse, arrange sensors to monitor vegetable information, adjust the identification frequency according to the monitoring results, and collect environmental data such as temperature and humidity in the warehouse through sensor equipment installed in the perception layer in the warehouse. Monitor vegetable information in real time, establish a vegetable information database, and intelligently optimize the storage location of vegetables in the warehouse.

[0074] S2: A digital platform for vegetable production is established based on the collected data, including an intelligent irrigation unit to intelligently control irrigation and fertilization, a storage management unit to monitor and manage vegetable inventory, environmental conditions and losses in real time, a traceability unit to record the entire process of vegetable planting to sales, a sales unit to support online ordering, payment and order management, and an agricultural product market information collection unit to guide planting planning and sales strategies.

[0075] It should be noted that if Figure 2 As shown, the intelligent irrigation unit includes real-time monitoring of soil temperature, humidity, conductivity and pH value through sensors, and for each parameter, calculating the cumulative non-compliance time within a time window. If the cumulative non-compliance time exceeds a preset time threshold T td, the system sends out an alarm signal. After confirmation by the management personnel, automatic irrigation is started to improve the soil environment. If the cumulative non-compliance time does not exceed the preset time threshold, the system's irrigation water volume remains unchanged and the soil condition continues to be monitored. Air environment information sensors are also installed to monitor air temperature, humidity, light intensity, and carbon dioxide concentration environmental parameters. The air environment information sensors include light sensors, air temperature and humidity sensors, and carbon dioxide sensors. Irrigation is guided by the above information monitoring. The collected data is displayed through the local data acquisition gateway and remotely transmitted to the data layer through the aggregation node.

[0076] Define the soil parameters that need to be detected and their thresholds, including soil moisture H S and its threshold T H,td , soil temperature T S and its threshold T S,td , soil electrical conductivity ES S and its threshold T ES,td and soil pH S and its threshold T pH,td ,In each time interval, determine whether each parameter is lower than the preset threshold. If it is lower than the threshold, record the non-compliance time and accumulate these times.

[0077] The cumulative non-compliance time formula is expressed as:

[0078]

[0079] Where n is the total number of time intervals, Δt i is the time when the parameter does not meet the standard within the i time interval;

[0080] The automatic irrigation includes calculating the irrigation demand index, which is expressed as follows:

[0081]

[0082] Among them, T′ s , H′ s ,EC′ s , pH′ s are the normalized values ​​of soil temperature, soil moisture, soil conductivity and soil pH, respectively; k1 and k2 are different weight coefficients; I is the irrigation demand index;

[0083] The normalization formula is expressed as,

[0084]

[0085] Among them, x′ is the normalized value, x is the original value, and x max 、x min are the maximum and minimum values ​​in the data set, respectively;

[0086] If I≥I high , the system determines that the irrigation demand index is high, and the irrigation unit irrigates at the maximum flow rate to ensure that the irrigation equipment operates at full power. Check whether the irrigation unit is operating normally, ensure that the water flow is smooth and there is no blockage, and continuously monitor the soil moisture to ensure that the expected moisture level is reached.

[0087] If I low ≤I<I high , the system determines that the soil needs to be watered appropriately, the irrigation unit irrigates at a medium flow rate, turns on the medium flow irrigation mode, adjusts the flow control valve of the irrigation equipment, and regularly checks the irrigation equipment to ensure that the medium flow rate operates normally. Monitor soil moisture and other relevant parameters and adjust the irrigation plan in a timely manner.

[0088] If I<I low , the system judges that the irrigation demand index is low and needs to reduce irrigation water, maintain the current status, reduce irrigation flow or suspend irrigation, ensure that soil moisture is maintained within an appropriate range, check soil moisture, conductivity and pH value to ensure that these parameters are within a reasonable range, record current soil parameters, and check regularly to prevent any possible problems.

[0089] Water and fertilizer are supplied through a controllable pipeline system. After the water and fertilizer are mixed, they are sprayed through pipes, spray guns or nozzles, and sprayed evenly, regularly and quantitatively on the vegetable growth area, so that the soil in the main growth area of ​​the vegetables always remains loose and has appropriate moisture content.

[0090] Users can receive the required information push through the mobile phone APP, view real-time data, historical data and realize remote irrigation management operations. Users can also log in through computers or tablet terminals to view the situation, control the opening and closing of water and fertilizer pipes according to the data, and understand the irrigation site in real time through video during fertilization and irrigation.

[0091] It should be noted that the digital platform for vegetable production includes a traceability unit. The perception layer collects traceability information such as vegetable batch numbers, base information, and agricultural records. The transmission layer sends it to the data layer to record vegetable production standards and circulation processes. The application layer effectively displays the company's relevant production qualifications and certification status information to consumers and regulatory authorities through the APP.

[0092] It should be noted that the digital platform for vegetable production includes a warehousing management unit, which standardizes operations in each link of vegetable warehousing, outbound delivery, inventory, loss reporting, inventory, planned inventory, cargo weighing, packaging, sorting, and acceptance, and generates diversified statistical reports according to business requirements.

[0093] The vegetable information includes vegetable attributes, vegetable status, vegetable location and vegetable quantity;

[0094] The vegetable attributes include name, category, specification, weight and size;

[0095] The vegetable status includes the current status, whether it is damaged, expired, or needs maintenance;

[0096] The vegetable location includes the specific location of the vegetables in the warehouse, which is tracked by the vegetable QR code;

[0097] The quantity of vegetables includes the quantity of each vegetable in the warehouse.

[0098] Furthermore, adjusting the recognition frequency according to the monitoring results includes monitoring the ambient temperature, ambient humidity and movement status of vegetables in real time through sensors, and adjusting the wireless sensing recognition frequency according to the acquired monitoring data. The wireless sensing recognition tags here can use NFC (near field communication) or RFID (radio frequency identification) tags.

[0099] If the ambient temperature rises, the wireless induction identification tag increases the radio frequency identification frequency, and when the ambient temperature drops, the radio frequency identification frequency is reduced;

[0100] If the ambient humidity rises, the wireless induction identification tag increases the radio frequency identification frequency, and when the ambient humidity drops, the radio frequency identification frequency is reduced;

[0101] If the vegetable is detected to be stationary, the wireless induction identification tag reduces the wireless induction identification frequency. If the vegetable is detected to be in motion, the wireless induction identification tag increases the wireless induction identification frequency.

[0102] Get the frequency adjustment status, which are: all three factors decrease, only one factor decreases, only two factors decrease, and all three factors increase;

[0103] Adjust the wireless induction recognition frequency according to different situations. The calculation formula is expressed as:

[0104]

[0105] C n =C i ×(1+W i )

[0106] Among them, T c is the change of ambient temperature, positive number indicates increase, negative number indicates decrease, H c is the change of humidity, positive number indicates increase, negative number indicates decrease, M c is the change of vegetable motion state, positive number indicates increase, negative number indicates decrease, W i To adjust the weight factor, C n is the adjusted wireless induction recognition frequency, Ci Identify the frequency for the original wireless induction.

[0107] Regarding the adjustments to the ambient temperature, ambient humidity, and vegetable movement status involved in vegetable warehouse management, the following are the response measures based on different changes:

[0108] All three factors declined:

[0109] Increase the heating capacity of the warehouse to ensure that vegetables are stored in the ideal temperature range. Use humidification equipment or adjust the ventilation system of the warehouse to maintain the appropriate humidity level to prevent vegetables from drying out. Optimize the regular turning and transportation process of vegetables to reduce stagnation time and maintain the freshness and market value of vegetables.

[0110] Only one factor declined:

[0111] Make targeted adjustments based on the specific factors causing the decline. If the ambient temperature drops, heating measures should be strengthened. If the movement state of vegetables decreases, consider adjusting the logistics layout in the warehouse to reduce the quality degradation of vegetables caused by long-term stillness. If the ambient humidity drops, install or adjust the settings of the humidifier to increase the humidity in the warehouse to prevent the vegetables from losing moisture due to being too dry.

[0112] Only two factors declined:

[0113] Adjust the two factors comprehensively. If the temperature and humidity drop at the same time, adjust the heating and humidification systems at the same time to ensure that the vegetables are stored in the best environmental conditions. If the temperature drops and the movement of vegetables decreases, strengthen the heating measures and optimize the movement and turning plan of the vegetables to ensure that the temperature is appropriate and the vegetables remain active, avoiding the degradation of vegetable quality due to low temperature and lack of proper movement. If the humidity drops and the movement of vegetables decreases, strengthen the air circulation system in the warehouse to maintain the appropriate humidity while ensuring the movement of vegetables, such as using an automated system to regularly move the storage racks.

[0114] All three factors are on the rise:

[0115] Enhance the cooling system to maintain the appropriate temperature in the warehouse. Adjust the dehumidification equipment to prevent excessive humidity from causing vegetable spoilage. If the movement frequency of vegetables increases, ensure that logistics operations do not cause damage to the vegetables, and optimize the handling process to reduce unnecessary movement.

[0116] When implementing the above measures, an automated monitoring system should be used to track changes in the warehouse environment and the movement of vegetables in real time, and make rapid adjustments based on data feedback. This will not only help maintain the quality of vegetables and extend their storage life, but also improve the efficiency and response speed of overall warehouse management.

[0117] Further, the establishment of the vegetable information database includes recording the attributes of each vegetable, including name, category, specification, weight and size, recording the status of each vegetable, including whether it is damaged, expired and needs maintenance, recording the specific location of the vegetables in the warehouse, tracking them through wireless sensing recognition technology, and recording the quantity of each vegetable;

[0118] Carry out preliminary classification according to vegetable attributes, group vegetables of the same type and specification together, use classification codes to track them, further classify according to vegetable status, store vegetables with normal status separately from abnormal vegetables, use status codes to track vegetable status, move abnormal vegetables from normal storage area to abnormal vegetable storage area, and update vegetable status in abnormal vegetable storage area;

[0119] The vegetables in normal condition include vegetables that are not damaged, not expired, and do not require maintenance;

[0120] Abnormal vegetables include damaged, expired and maintenance-required vegetables;

[0121] Assign a preliminary storage location to each vegetable and calculate the storage priority of each vegetable. The calculation formula is expressed as:

[0122]

[0123] Among them, S i is the storage priority of the i-th vegetable, V is the shelf life of the vegetable, T is the storage time of the vegetable, M is the weight of the vegetable, A is the size of the vegetable, Q is the number of vegetables, D is the state of the vegetable, which is 0 when normal and 1 when abnormal, and α, β, γ, and δ are different weight coefficients for priority calculation respectively;

[0124] Adjust the storage position of vegetables according to the average storage priority, and store the vegetables in sequence according to the average storage priority. The calculation formula is expressed as:

[0125]

[0126] Among them, S is the average storage priority, m is the number of vegetables, and j is the index value of the vegetable.

[0127] The intelligent optimization of the storage location of vegetables in the warehouse includes calculating the frequency of each vegetable in and out according to the in and out records of the vegetables, and calculating the correlation between the vegetables according to the in and out frequencies of the vegetables and historical data. The formula is expressed as follows:

[0128]

[0129] Among them, CR(A,B) is the correlation index between vegetable A and vegetable B, f AB is the number of times vegetable A and vegetable B are shipped out at the same time, f A 、fB are the number of times vegetables A and B are shipped out, Q A , Q B are the quantities of vegetables A and B respectively;

[0130] According to the frequency and relevance of vegetable usage, secondary optimization is performed to calculate the comprehensive priority of each vegetable. The formula is expressed as:

[0131] ZS i =∈×F i +φ×CR i +θ×S i

[0132]

[0133] Among them, ZS i is the comprehensive priority of the i-th vegetable, F i is the frequency of use of vegetable i, CR i is the average relevance index, ∈, φ, and θ are different comprehensive priority weight coefficients respectively;

[0134] Adjust the order of vegetables according to their comprehensive priority, place vegetables with high comprehensive priority in priority positions, and update and optimize the storage locations of vegetables in the warehouse;

[0135] Continuously collect information on the entry and exit of vegetables, and optimize the layout regularly.

[0136] The sales unit includes the management of the entire process of business flow, logistics and capital flow, including receiving reservations, inquiring for quotations, contracts / agreements, placing orders, shipping arrangements, returns and exchanges, invoicing and settlement. It supports real-time control of sales prices and sales credits during sales order processing, automatically forms financial accounts receivable and inventory accounting management, and provides multi-dimensional sales management reports to realize sales business statistical analysis and comprehensive query. Customers can place orders, view orders and pay orders remotely through the APP.

[0137] The agricultural product market collection unit collects multi-dimensional data of regional wholesale market market conditions, including base name, market price, and time node data. It analyzes and classifies vegetable price information, provides reports and suggestions, establishes a reference price for vegetable price index, forms the sales price of the day, and stores it in the data layer to guide the future vegetable planting area and the estimated future vegetable production, and judges whether the future vegetable production can reach the production volume based on the data of the sensor in the perception layer.

[0138] The above is a schematic scheme of a digital management and control method for a vegetable supply base in this embodiment. It should be noted that the technical scheme of the digital management and control system of the vegetable supply base and the technical scheme of the digital management and control method of the vegetable supply base described above belong to the same concept. For details not described in detail in the technical scheme of the digital management and control system of the vegetable supply base in this embodiment, please refer to the description of the technical scheme of the digital management and control method of the vegetable supply base described above.

[0139] like Figure 3 As shown, the digital management and control system of the vegetable supply base in this embodiment includes: a perception layer module, a transmission layer module, and a data layer and application layer module;

[0140] The perception layer module collects environmental data through the sensor network to provide a real-time data basis for the system;

[0141] The transport layer module sends the data collected by the perception layer to the data layer through 4G, 5G and WiFi networks to ensure the timeliness and reliability of data transmission;

[0142] The data layer and application layer modules store and process the collected data, perform environmental parameter control, and realize intelligent irrigation, traceability management, storage management, sales management and agricultural product market analysis functions.

[0143] The above-mentioned unit modules may be embedded in or independent of a processor in a computer device in the form of hardware, or may be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to the above-mentioned modules.

[0144] This embodiment also provides a computing device suitable for the digital management and control of vegetable supply bases, including: the present invention can be implemented with the help of software and necessary general-purpose hardware, and of course it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ReadOnly, Memory, ROM), random access memory (RandomAccess Memory, RAM), flash memory (FLASH), hard disk or optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute the methods of various embodiments of the present invention.

[0145] Example 2 is the second embodiment of the present invention, which provides a digital management and control method for a vegetable supply base. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through experiments.

[0146] Select two vegetable supply bases with the same environmental conditions and planting scale, one using the traditional management method (base A) and the other using the digital management and control platform of the present invention (base B). At the digital management and control platform base, install a sensor network (including temperature and humidity sensors, soil sensors), wireless identification tags, and build an Internet of Things data transmission platform. Ensure that the data layer, transmission layer, and application layer work normally, and collect and transmit environmental data and vegetable status data in real time.

[0147] In the traditional management method base, environmental data and vegetable growth status are recorded manually, and decisions are made based on the experience of managers. In the digital management and control platform base, environmental data and vegetable growth status are automatically collected and recorded through sensor networks and the Internet of Things platform, and real-time monitoring and analysis are carried out.

[0148] Table 1. Data comparison table

[0149] Dimensions Traditional management method (Base A) Digital management and control platform (Base B) Data collection time 2 hours per day Real-time acquisition, no extra time required Management decision time 1 hour per day Real-time analysis and decision making Irrigation accuracy According to experience, the error is large Precise irrigation with small error Fertilization effect Relying on experience, the effect is unstable Precise fertilization, stable effect Labor cost (yuan / day) 500 300 Customer satisfaction (points) 80 95 Output(kg) 800 1000 Quality (quality rate) 85％ 95％ Water usage (L) 5000 4000 Fertilizer usage (kg) 200 180

[0150] Through the above experimental data, we can conduct a detailed comparative analysis:

[0151] Management efficiency: The digital management and control platform of Base B greatly reduces manual operation time and improves management efficiency through real-time data collection and automated decision-making.

[0152] Environmental adaptability: The digital management and control platform of Base B can respond quickly to environmental changes through real-time monitoring and intelligent adjustment, ensuring that vegetables grow in the best environment. In contrast, Base A relies on manual experience, has a slow response speed, and unstable results.

[0153] Decision-making accuracy: The intelligent irrigation and precision fertilization measures at Base B showed higher accuracy and stability, improving management effectiveness.

[0154] Labor costs: Base B has reduced labor costs through automated management, and the daily labor costs are significantly lower than those of Base A.

[0155] Customer satisfaction: Through the survey, customer satisfaction at Base B was higher than that at Base A, reflecting higher vegetable quality and supply stability.

[0156] Yield and quality: The vegetable yield and quality of Base B are significantly higher than those of Base A, and the quality rate is also higher, which increases the market value.

[0157] Resource utilization efficiency: Through precise management, Base B reduced the use of water and fertilizer and improved resource utilization efficiency.

[0158] Through the analysis of experimental data, it can be concluded that the digital management and control platform of the present invention shows significant advantages in the management of vegetable supply bases, has higher management efficiency, environmental adaptability and decision-making accuracy, can significantly improve the yield and quality of vegetables, while optimizing resource utilization efficiency, reducing labor costs, and improving customer satisfaction, and has broad application prospects.

[0159] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A digital management and control method for a vegetable supply base, characterized by: include, Data is collected through the sensor network, and the system stores and processes the data; A digital platform for vegetable production is established based on the collected data, including an intelligent irrigation unit for intelligently controlling irrigation and fertilization, a storage management unit for real-time monitoring and management of vegetable inventory, environmental conditions and losses, a traceability unit for recording the entire process from vegetable planting to sales, a sales unit for supporting online ordering, payment and order management, and an agricultural product market information collection unit for guiding planting planning and sales strategies.

2. A digital management and control method for a vegetable supply base as claimed in claim 1, characterized in that: The data collection through the sensor network includes installing soil temperature, humidity, conductivity, and pH sensors in the greenhouse to monitor the soil conditions in the greenhouse; Use wireless identification tags to assign digital identification codes to vegetables in the warehouse, arrange sensors to monitor vegetable information, adjust the identification frequency according to the monitoring results, and collect environmental data such as temperature and humidity in the warehouse through sensor equipment installed in the perception layer in the warehouse. Monitor vegetable information in real time, establish a vegetable information database, and intelligently optimize the storage location of vegetables in the warehouse.

3. A digital management and control method for a vegetable supply base as claimed in claim 2, characterized in that: The intelligent irrigation unit includes sensors that monitor soil temperature, humidity, conductivity and pH value in real time. For each parameter, the cumulative non-compliance time within a time window is calculated. If the cumulative non-compliance time exceeds a preset time threshold T td , the system sends out an alarm signal. After confirmation by the management personnel, automatic irrigation is started to improve the soil environment. If the cumulative non-compliance time does not exceed the preset time threshold, the system's irrigation water volume remains unchanged and continues to monitor the soil condition; The cumulative non-compliance time formula is expressed as: Where n is the total number of time intervals, Δt i is the time when the parameter does not meet the standard within the i time interval; The automatic irrigation includes calculating the irrigation demand index, which is expressed as follows: Among them, T′ s , H′ s ,EC′ s , pH′ s are the normalized values ​​of soil temperature, soil moisture, soil electrical conductivity and soil pH, respectively; k1 and k2 are different weight coefficients; I is the irrigation demand index; The normalization formula is expressed as, Among them, x′ is the normalized value, x is the original value, and x max 、x min are the maximum and minimum values ​​in the data set, respectively; If I≥I high , the system determines that the irrigation demand index is high, and the irrigation unit irrigates at the maximum flow rate to improve soil moisture; If I low ≤I<I high , the system determines that the soil needs water replenishment, and the irrigation unit irrigates at a medium flow rate to maintain soil moisture; If I<I low , the system determines that the irrigation demand index is low, reduces the irrigation water volume, and maintains the current state.

4. A digital management and control method for a vegetable supply base as claimed in claim 3, characterized in that: The vegetable information includes vegetable attributes, vegetable status, vegetable location and vegetable quantity; The vegetable attributes include name, category, specification, weight and size; The vegetable status includes the current status, whether it is damaged, expired, or needs maintenance; The vegetable location includes the specific location of the vegetables in the warehouse, which is tracked by the vegetable QR code; The quantity of vegetables includes the quantity of each vegetable in the warehouse.

5. A digital management and control method for a vegetable supply base as claimed in claim 4, characterized in that: The adjusting the recognition frequency according to the monitoring results includes monitoring the ambient temperature, ambient humidity and the motion state of the vegetables in real time through sensors, and adjusting the wireless induction recognition frequency according to the acquired monitoring data; If the ambient temperature rises, the wireless induction identification tag increases the radio frequency identification frequency, and when the ambient temperature drops, the radio frequency identification frequency is reduced; If the ambient humidity rises, the wireless induction identification tag increases the radio frequency identification frequency, and when the ambient humidity drops, the radio frequency identification frequency is reduced; If the vegetable is detected to be stationary, the wireless induction identification tag reduces the wireless induction identification frequency. If the vegetable is detected to be in motion, the wireless induction identification tag increases the wireless induction identification frequency. Get the frequency adjustment status, which are all 3 factors down, only 1 factor down, only 2 factors down, and all 3 factors up; Adjust the wireless induction recognition frequency according to different situations. The calculation formula is expressed as: C n =C i ×(1+W i Among them, T c is the change of ambient temperature, positive number indicates increase, negative number indicates decrease, H c is the change of humidity, positive number indicates increase, negative number indicates decrease, M c is the change of vegetable motion state, positive number indicates increase, negative number indicates decrease, W i To adjust the weight factor, C n is the adjusted wireless induction recognition frequency, C i Identify the frequency for the original wireless induction.

6. A digital management and control method for a vegetable supply base as claimed in claim 5, characterized in that: The establishment of the vegetable information database includes recording the attributes of each vegetable, including name, category, specification, weight and size, recording the status of each vegetable, including whether it is damaged, expired and needs maintenance, recording the specific location of the vegetables in the warehouse, tracking them through wireless induction recognition technology, and recording the quantity of each vegetable; Carry out preliminary classification according to vegetable attributes, group vegetables of the same type and specification together, use classification codes to track them, further classify according to vegetable status, store vegetables with normal status separately from abnormal vegetables, use status codes to track vegetable status, move abnormal vegetables from normal storage area to abnormal vegetable storage area, and update vegetable status in abnormal vegetable storage area; The vegetables in normal condition include vegetables that are not damaged, not expired, and do not require maintenance; Abnormal vegetables include damaged, expired and maintenance-required vegetables; Assign a preliminary storage location to each vegetable and calculate the storage priority of each vegetable. The calculation formula is expressed as: Among them, S i is the storage priority of the i-th vegetable, V is the shelf life of the vegetable, T is the storage time of the vegetable, M is the weight of the vegetable, A is the size of the vegetable, Q is the number of vegetables, D is the state of the vegetable, which is 0 when normal and 1 when abnormal, and α, β, γ, and δ are different weight coefficients for priority calculation respectively; Adjust the storage position of vegetables according to the average storage priority, and store the vegetables in sequence according to the average storage priority. The calculation formula is expressed as: Among them, S is the average storage priority, m is the number of vegetables, and j is the index value of the vegetable.

7. A digital management and control method for a vegetable supply base as claimed in claim 6, characterized in that: The intelligent optimization of the storage location of vegetables in the warehouse includes calculating the frequency of each vegetable in and out according to the in and out records of the vegetables, and calculating the correlation between the vegetables according to the in and out frequencies of the vegetables and historical data. The formula is expressed as follows: Among them, CR(A,B) is the correlation index between vegetable A and vegetable B, f AB is the number of times vegetable A and vegetable B are shipped out at the same time, f A 、f B are the number of times vegetables A and B are shipped out, Q A , Q B are the quantities of vegetables A and B respectively; According to the frequency and relevance of vegetable usage, secondary optimization is performed to calculate the comprehensive priority of each vegetable. The formula is expressed as: ZS i =∈×F i +φ×CR i +θ×S i Among them, ZS i is the comprehensive priority of the i-th vegetable, F i is the frequency of use of vegetable i, CR i is the average relevance index, ∈, φ, and θ are different comprehensive priority weight coefficients respectively; Adjust the order of vegetables according to their comprehensive priority, place vegetables with high comprehensive priority in priority positions, and update and optimize the storage locations of vegetables in the warehouse; Continuously collect information on the entry and exit of vegetables, and optimize the layout regularly.

8. A system based on the digital management and control method of a vegetable supply base according to any one of claims 1 to 7, characterized in that: It includes perception layer module, transport layer module, data layer and application layer module; The perception layer module collects environmental data through the sensor network to provide a real-time data basis for the system; The transport layer module sends the data collected by the perception layer to the data layer through 4G, 5G and WiFi networks to ensure the timeliness and reliability of data transmission; The data layer and application layer modules store and process the collected data, perform environmental parameter control, and realize intelligent irrigation, traceability management, storage management, sales management and agricultural product market analysis functions.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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