Round straw baler operation service pricing system and equipment

Abstract

The invention discloses an operation service pricing system and equipment for a round bale straw bundling machine, belongs to the technical field of agricultural machinery operation pricing, and aims to solve the problem that the existing operation service pricing mode for the round bale straw bundling machine based on a total working time factor does not consider a soil protection factor. The system comprises a straw compression ratio calculation unit used for determining the straw compression ratio CR, a working duration estimation unit used for determining the working duration WT, a soil compaction degree estimation unit used for determining the soil compaction degree SC according to a soil compaction degree model, a compression cost Ccompaction calculated based on the straw compression ratio CR, and a working time cost Ctime calculated based on the working duration WT, and the comprehensive pricing unit is used for calculating the soil compaction cost Coil based on the soil compaction degree SC and further carrying out comprehensive pricing. The pricing method is used for pricing the operation service of the round straw baler.

Description

Technical Field

[0001] The invention belongs to the technical field of agricultural machinery operation pricing, and relates to a straw baler operation service pricing method and equipment. Background Art

[0002] With the large-scale development of agricultural production, straw recycling has become an important part of post-harvest crop processing. As a mechanical equipment for efficiently processing residual straw in farmland, round straw balers are widely used in the process of straw baling, transportation and storage. However, the existing technology still has many problems in the actual operation of straw balers.

[0003] On the one hand, the existing straw balers lack precise compression control and efficiency optimization. The current equipment mainly relies on simple feeding rate and compression ratio settings, and fails to fully combine the physical properties of straw (such as moisture content, density, etc.) to adjust the compression rate in real time, resulting in high energy consumption and difficulty in maximizing baling efficiency. On the other hand, the operation time and cost calculation model is insufficient. The existing equipment only roughly estimates the working time based on the efficiency of a single baling, ignoring the dynamic impact of various factors such as the operating area, machine status and compression efficiency on the duration, making it difficult to provide users with accurate service pricing basis. In addition, in terms of soil protection, the existing straw balers lack effective monitoring and regulation of the impact on soil compaction. Since the compaction effect under different soil conditions is not considered in the equipment design, long-term operation may cause damage to the soil structure and affect the long-term farming capacity of the farmland. This not only increases the potential cost of soil remediation, but also restricts the promotion and application of round straw balers. The existing technology has not yet solved the above-mentioned problems such as insufficient accuracy of operation service pricing and insufficient consideration of soil compaction effects. In addition, this technical solution fails to provide a comprehensive service pricing model that combines equipment performance and farmland environment, limiting the application effect of the equipment in modern agricultural operations. Summary of the invention

[0004] The present invention aims to solve the problem that the existing pricing method for round straw baler operation service based on the total working time factor does not take into account the soil protection factor itself, and the problem that the pricing is inaccurate due to the inconsistency with the objective actual conditions.

[0005] A round straw baler operation service pricing system, comprising:

[0006] Straw compression rate calculation unit: used to determine the straw compression rate CR;

[0007] Working time estimation unit: used to determine working time WT;

[0008] Soil compaction estimation unit: determines soil compaction SC according to a soil compaction model; the soil compaction model is as follows:

[0009]

[0010] Among them, δ(ST) is the soil type correction factor; α1 is the soil compression coefficient; TW is the weight of the tire plus the equipment, is the ground contact area, GP represents the ground contact ratio; BD0 is the initial soil bulk density; FP is the soil porosity; β1 is the adjustment coefficient of the effect of water content on soil compaction; SW is the soil moisture content; γ1 is the dynamic compaction influence coefficient, ST is the soil type; NT is the number of operations;

[0011] Comprehensive pricing unit: Calculate the compression cost C based on the straw compression rate CR compress , calculate the operation time cost C based on the working time WT time , calculate the soil compaction cost C based on the soil compaction degree SC soil , and then conduct comprehensive pricing.

[0012] Furthermore, the straw compression rate calculation unit determines the straw compression rate CR according to a straw compression model; the straw compression model is as follows:

[0013]

[0014] Among them, α, β, and γ are adjustment coefficients; M is the straw feed amount, C is the compression chamber volume, W is the straw moisture content, V is the loading speed, P is the equipment compression pressure, ρ0 is the initial density of the straw, and T is the straw type; f(T) is the correction function of the straw type.

[0015] Furthermore, the adjustment coefficients α, β, and γ are determined through experimental fitting.

[0016] Furthermore, the correction function f(T) of the straw type is determined by fitting a classification model or empirical data.

[0017] Furthermore, the working time estimation unit determines the working time WT according to a working time estimation model; the working time estimation model is as follows:

[0018]

[0019] Among them, Q single is the single baling amount, U is the equipment capacity utilization rate, Q total is the total processing volume; F(A) is the automation correction coefficient determined according to the automation degree A of the baler, and λ is the coefficient of influence of moisture content on compression time;

[0020] Furthermore, the compression cost C compress as follows:

[0021]

[0022] Among them, Q total is the total processing capacity, C unit_compress is the compression cost per unit of processing volume.

[0023] Furthermore, the operation time cost C time as follows:

[0024] C time =WT·C unit_time

[0025] Among them, C unit_time is the cost per unit of operating time.

[0026] Furthermore, the soil compaction cost C soil as follows:

[0027] C soil =SC·C unit_soil

[0028] Where SC is the soil compaction degree, C unit_soil is the soil protection cost per unit compaction degree.

[0029] Furthermore, the comprehensive pricing P service =C compress +C time +C soil .

[0030] A round straw baler operation service pricing device, the device comprises a processor and a memory, the memory stores at least one instruction, the at least one instruction is loaded and executed by the processor, and the round straw baler operation service pricing system is disclosed.

[0031] The present invention proposes an improved pricing system and equipment for round straw baler operation services, which determines a soil compaction model based on factors such as the weight of the tire plus the equipment, soil moisture content, and the like, and then determines the cost corresponding to the soil compaction according to the soil compaction model, and then performs comprehensive pricing. The present invention can more accurately calculate the equipment operation cost, operation time cost, and soil protection cost, and takes into account various factors of the actual round straw baler operation service, thereby making the content of the pricing method more consistent with the objective actual conditions, so that the pricing is more accurate, and can provide users with a scientific and reasonable basis for operation service pricing, thereby improving the economy and environmental adaptability of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 Schematic diagram of the processing logic of a pricing system for round straw baler operations. DETAILED DESCRIPTION

[0033] Specific implementation method 1: Combination Figure 1 To explain this embodiment,

[0034] A round straw baler operation service pricing system described in this embodiment includes:

[0035] Straw compression rate calculation unit: determines the straw compression rate CR according to the straw compression model;

[0036] The straw compression model is as follows:

[0037]

[0038] Among them, α, β, γ are adjustment coefficients; M is the straw feeding amount, C is the compression chamber volume, W is the straw moisture content, V is the loading speed, P is the equipment compression pressure, ρ0 is the initial density of the straw, T is the straw type; f(T) is the correction function of the straw type;

[0039] Straw feed rate M (kg / h): affects the total amount of straw compressed per unit time.

[0040] Loading speed V (m / s): affects the moving speed of straw and the compression efficiency of equipment.

[0041] Straw moisture content W (%): affects the compressibility of straw. The higher the moisture content, the worse the compression effect.

[0042] Equipment compression pressure P (kPa): The compression pressure applied by the equipment directly affects the straw compression rate.

[0043] Compression chamber volume C(m 3 ): Determines the maximum size of each compression.

[0044] Straw type T (classification parameter): Different types of straw have different physical properties, which affect the compression rate.

[0045] The construction process of the straw compression model is as follows:

[0046] First, the straw compression ratio (CR) is defined as the ratio of the straw density after compression to the initial density:

[0047]

[0048] Among them, ρ c is the density after compression (kg / m 3 ). ρ0 is the initial density (kg / m 3 ).

[0049] Initial density of straw ρ0 (kg / m 3 ): The initial state of the straw affects the increase ratio of density after compression.

[0050] The density after compression is:

[0051]

[0052] Where M is the straw feed rate (kg / h). C is the volume of the equipment compression chamber (m 3 ). W is the moisture content of the straw. A high moisture content will reduce the effective compression density.

[0053] Then the effect of the pressure in the compression chamber on the density is introduced:

[0054]

[0055] Where k is the empirical coefficient, which represents the increase in density due to pressure.

[0056] Combining the above influencing factors, the straw compression model is obtained:

[0057]

[0058] Among them, f(T) is the correction function of straw type, which can be fitted by classification model or empirical data.

[0059] Then the final straw compression model is obtained:

[0060]

[0061] Among them, α, β, and γ are adjustment coefficients (determined by experimental fitting).

[0062] Working time estimation unit: determines working time WT according to working time estimation model;

[0063] The working time estimation model is as follows:

[0064]

[0065] Among them, Qsingle is the single baling quantity, U is the equipment capacity utilization rate, Q total (kg) is the total processing capacity; F(A) is the automation correction coefficient determined according to the automation level A of the baler, and λ is the coefficient of influence of moisture content on compression time;

[0066] Straw feed amount M (kg / h): a key factor in determining material processing efficiency.

[0067] Single bale quantity Q single (kg): affects the baling frequency.

[0068] Duration of stay stop (min): The machine stops after each baling.

[0069] Equipment capacity utilization U (%): the ratio of actual baling volume to maximum baling volume.

[0070] Straw moisture content W (%): affects compression efficiency and compression time.

[0071] Straw compression ratio CR: the result passed in from the first module, which affects the actual time consumed for each compression.

[0072] The degree of automation of the baler A (classification parameter): such as manual, semi-automatic, and fully automatic, affects the operating speed.

[0073] The construction process of the working time estimation model is as follows:

[0074] First, the time required to complete the total baling is defined as the working time WT:

[0075] WT=N×T single

[0076] Among them, N is the number of bundles, T single The time required for a single bale;

[0077] The number of bundling times:

[0078]

[0079] Where U is the equipment capacity utilization rate, which is usually less than 1 and is taken as 0.8 here; Q total (kg) is the total processing capacity;

[0080] The time required for a single bundling is:

[0081] T single =T compress +T stop

[0082]

[0083] Among them, T compress is the compression time, which is determined by the straw feed amount, straw moisture content, straw compression rate, etc., and the compression time; λ is the influence coefficient of moisture content on compression time; T stop is the residence time;

[0084] Since the automation degree A will affect the overall operating efficiency, including the dwell time and compression time, the influence of automation degree is introduced: the automation correction coefficient F(A) is defined, F(A) is 1.0 for full automation, 1.2 for semi-automation and 1.5 for manual operation.

[0085] Thus, the single baling time is corrected to:

[0086] T single =(T compress +T stop )·F(A)

[0087] Then we get the working time estimation model

[0088]

[0089] After sorting, the final working time estimation model is obtained:

[0090]

[0091] Soil compaction estimation unit: determines soil compaction SC according to soil compaction model;

[0092] The soil compaction model is as follows:

[0093]

[0094] Among them, δ(ST) is the soil type correction factor; α1 is the soil compression coefficient; TW is the weight of the tire plus the equipment, is the ground contact area, GP represents the ground contact ratio; BD0 is the initial soil bulk density; FP is the soil porosity; β1 is the adjustment coefficient of the influence of water content on soil compaction; SW is the soil moisture content; γ1 is the dynamic compaction influence coefficient, ST is the soil type; NT is the number of working times.

[0095] Soil moisture content SW (%): affects the compressibility and bearing capacity of soil.

[0096] Soil bulk density BD (g / cm 3 ): It indicates the mass per unit volume of soil and determines the initial degree of compaction.

[0097] Soil porosity FP (%): affects compression potential.

[0098] The weight of the tire plus the equipment TW (kg): the source of pressure directly applied to the soil.

[0099] Tire width WW (m): affects the contact area.

[0100] Ground specific pressure GP (kPa): the pressure per unit area of ​​soil.

[0101] Tire tread depth TD (cm): affects the tire's grip and shearing effect on the soil surface.

[0102] Driving speed VS (km / h): affects the duration of soil stress and dynamic response.

[0103] Number of jobs NT: The number of times the operation is repeated in the same area determines the cumulative compaction effect.

[0104] The construction process of the soil compaction model is as follows:

[0105] First, the ratio of the compacted soil bulk density to the initial bulk density is defined as the soil compaction degree SC:

[0106]

[0107] Among them, BD c (g / cm 3 ) is the bulk density of soil after compaction; BD0 (g / cm 3 ) is the initial soil bulk density.

[0108] The compacted bulk density is determined by the soil's compressive effects, the reduction in porosity, and the moisture content, as follows:

[0109]

[0110] Among them, α1 is the soil compressive property coefficient, which determines the degree of soil response to pressure; GP represents the grounding ratio and the source of pressure.

[0111] Since soil moisture content SW will reduce soil compressive strength and thus increase compaction, the above formula is modified:

[0112]

[0113] Among them, β1 is the adjustment coefficient of the effect of moisture content on soil compaction.

[0114] Since the tire weight (actually including the weight of the equipment), width, tread depth, and ground contact pressure jointly affect the soil pressure, the ground contact area is introduced:

[0115]

[0116] Where TW is the weight of the tire plus the equipment, GP is the ground contact ratio;

[0117] The ground contact area in turn affects the distribution of ground contact pressure, and the formula is further modified to:

[0118]

[0119] Taking into account the cumulative effect of travel speed VS and work number NT on soil compaction, we have:

[0120]

[0121] Among them, γ1 is the dynamic compaction influence coefficient, which represents the combined effect of speed and number on compaction.

[0122] Since the compaction response of ST of different soil types is different, the correction coefficient δ(ST) is used to modify the soil compaction model:

[0123]

[0124] in, is the contact area, and δ(ST) is the soil type correction factor.

[0125] Finally, the soil compaction model is expressed as:

[0126]

[0127] Comprehensive pricing unit: pricing is based on straw compression rate CR, working time WT, and soil compaction degree SC.

[0128] The process of doing pricing includes the following steps:

[0129] Calculate the compression cost C compress :

[0130]

[0131] Among them, Q total (kg) is the total processing capacity, C unit_compress (Yuan / kg) is the compression cost per unit processing volume;

[0132] Calculate the time cost of the operation C time :

[0133] C time =WT·C unit_time

[0134] Among them, C unit_time is the cost per unit of operating time;

[0135] Calculation of soil compaction costs C soil :

[0136] C soil =SC·C unit_soil

[0137] Where SC is the soil compaction degree, C unit_soil is the soil protection cost per unit compaction degree.

[0138] Calculate comprehensive pricing:

[0139] P service =C compress +C time +C soil

[0140] It should be noted that the present invention needs to first collect data in a data collection stage, so the present invention may also include a basic data collection unit for collecting various data related to the baling operation to provide necessary input for subsequent model calculations.

[0141] Then the following calculations are performed using the above system.

[0142] Compression rate calculation: The straw compression rate estimation model calculates the straw compression rate based on input data such as feed amount and straw characteristics.

[0143] Working time calculation: The working time estimation model uses parameters such as compression ratio and feed rate to estimate the time required to complete a job.

[0144] Soil compaction calculation: The soil compaction estimation model calculates the impact of the operation process on the soil compaction based on soil data.

[0145] Pricing calculation: The pricing model takes into account equipment performance, operation time and soil protection costs to calculate a reasonable operation service price.

[0146] The present invention realizes the dynamic integration of straw compression rate, operation time and soil compaction by constructing a comprehensive operation service pricing model, thus comprehensively improving the economic efficiency and ecological adaptability of the equipment. The present invention has the following characteristics

[0147] Improve operating efficiency: Improve the overall operating efficiency of the baler by optimizing the compression rate and operating time.

[0148] Reduce soil damage: Monitor and adjust soil compaction in real time to protect the long-term productivity of farmland.

[0149] Optimize pricing strategy: Based on comprehensive consideration of multiple factors, formulate reasonable service prices to improve customer satisfaction. Specific implementation method three:

[0151] This embodiment is a round straw baler operation service pricing device, the device includes a processor and a memory, it should be understood that including any device including a processor and a memory described in the present invention, the device may also include other units and modules that display, interact, process, control, etc. and other functions through signals or instructions;

[0152] At least one instruction is stored in the memory, and the at least one instruction is loaded and executed by the processor to execute the round straw baler operation service pricing system.

[0153] Those skilled in the art will appreciate that at least one instruction stored is a computer program product corresponding to the method or system. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes. The scheme in the embodiment of the present application can be implemented in various computer languages, for example, object-oriented programming language Java and literal scripting language JavaScript, etc.

[0154] The present application is described with reference to the flowcharts and / or block diagrams of the methods, systems, and computer program products according to the embodiments of the present application, and may also be used for corresponding devices. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0155] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0156] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0157] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0158] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

[0159] The above calculation examples of the present invention are only used to explain the calculation model and calculation process of the present invention in detail, and are not intended to limit the implementation methods of the present invention. For ordinary technicians in the relevant field, other different forms of changes or modifications can be made based on the above description. It is impossible to list all the implementation methods here. All obvious changes or modifications derived from the technical solution of the present invention are still within the scope of protection of the present invention.

Claims

1. A round straw baler operation service pricing system, characterized in that: include: Straw compression rate calculation unit: used to determine the straw compression rate CR; Working time estimation unit: used to determine working time WT; Soil compaction estimation unit: determines soil compaction SC according to a soil compaction model; the soil compaction model is as follows: Among them, δ(ST) is the soil type correction factor; α1 is the soil compression coefficient; TW is the weight of the tire plus the equipment, is the ground contact area, GP represents the ground contact ratio; BD0 is the initial soil bulk density; FP is the soil porosity; β1 is the adjustment coefficient of the effect of water content on soil compaction; SW is the soil moisture content; γ1 is the dynamic compaction influence coefficient, ST is the soil type; NT is the number of operations; Comprehensive pricing unit: Calculate the compression cost C based on the straw compression rate CR compress , calculate the operation time cost C based on the working time WT time , calculate the soil compaction cost C based on the soil compaction degree SC soil , and then conduct comprehensive pricing.

2. A round straw baler operation service pricing system according to claim 1, characterized in that: The straw compression rate calculation unit determines the straw compression rate CR according to a straw compression model; the straw compression model is as follows: Among them, α, β, and γ are adjustment coefficients; M is the straw feed amount, C is the compression chamber volume, W is the straw moisture content, V is the loading speed, P is the equipment compression pressure, ρ0 is the initial density of the straw, and T is the straw type; f(T) is the correction function of the straw type.

3. A round straw baler operation service pricing system according to claim 2, characterized in that: The adjustment coefficients α, β, and γ are determined through experimental fitting.

4. A round straw baler operation service pricing system according to claim 2, characterized in that: The correction function f(T) of straw type is determined by fitting the classification model or empirical data.

5. The round straw baler operation service pricing system according to claim 1, characterized in that: The working time estimation unit determines the working time WT according to a working time estimation model; the working time estimation model is as follows: Among them, Q single is the single baling amount, U is the equipment capacity utilization rate, Q total is the total processing capacity; F(A) is the automation correction coefficient determined according to the automation degree A of the baler; λ is the influence coefficient of moisture content on compression time.

6. A round straw baler operation service pricing system according to any one of claims 1 to 5, characterized in that: The compression cost C compress as follows: Among them, Q total is the total processing capacity, C unit_compress is the compression cost per unit of processing volume.

7. A round straw baler operation service pricing system according to claim 6, characterized in that: The operation time cost C time as follows: C time =WT·C unit_time Among them, C unit_time is the cost per unit of operating time.

8. A round straw baler operation service pricing system according to claim 7, characterized in that: The soil compaction cost C soil as follows: C soil =SC·C unit_soil Where SC is the soil compaction degree, C unit_soil is the soil protection cost per unit compaction degree.

9. A round straw baler operation service pricing system according to claim 8, characterized in that: The comprehensive pricing P service =C compress +C time +C soil .

10. A round straw baler operation service pricing device, characterized in that: The device includes a processor and a memory, wherein the memory stores at least one instruction, and the at least one instruction is loaded and executed by the processor to execute a round straw baler operation service pricing system as described in any one of claims 1 to 9.

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